Evidence Wiki
COVID Vaccines & Pandemic Response
151 documents, newest first. Tags show what each document establishes on its face versus what it only asserts.
- Aug 1, 2026(processed)
415
news article · secondary · A Midwestern Doctor (Substack newsletter)
An opinion newsletter post by 'A Midwestern Doctor' on Substack asserting systemic corruption in the COVID-19 response, including claims about suppressed treatments, dangerous vaccines, and institutional conflicts of interest.
- Documented
The document is an opinion piece published on Substack by an author using the pseudonym 'A Midwestern Doctor.'
“Another Investigation Proves There was Systemic Corruption in the COVID-19 Response A Midwestern Doctor May 12”✓ verified verbatim
- Asserted, not shown
The author asserts that most of the COVID-19 policy failures were deliberately planned out years in advance.
The author states this as personal certainty ('I am relatively certain') but provides no primary documentary evidence within this document to demonstrate advance planning.
- Documented
The document quotes a Goldman Sachs analyst report asking whether curing patients is a sustainable business model.
“"Is curing patients a sustainable business model?" analysts ask in an April 10 report entitled "The Genome Revolution."”⚠ not machine-verified
- Documented
The Goldman Sachs analyst report is described as noting that one-shot cures pose a challenge to sustained cash flow compared to chronic therapies.
“"While this proposition carries tremendous value for patients and society, it could represent a challenge for genome medicine developers looking for sustained cash flow."”⚠ not machine-verified
- Asserted, not shown
The underlying Goldman Sachs report itself is not reproduced or attached; only a partial quotation is provided.
The document excerpts the Goldman Sachs report but does not include the full report or any exhibit; the context, scope, and conclusions of that report cannot be verified from this document alone.
- Asserted, not shown
The author asserts that effective, evidence-based treatments for COVID-19 exist but were prohibited by national governments worldwide.
The claim is stated as fact but no clinical evidence, studies, or regulatory records are reproduced within this document to substantiate it.
- Asserted, not shown
The author asserts that remdesivir is dangerous and ineffective yet was forced on the population.
Characterized as having 'significant evidence against' its use, but no such evidence is reproduced or cited with retrievable specifics in this document.
- Asserted, not shown
The author asserts that COVID-19 vaccines are ineffective and dangerous and that known design flaws were intentional.
Presented as the author's belief and interpretation; no primary scientific or regulatory documentation is included to demonstrate intentional design flaws.
- Asserted, not shown
The author suggests the COVID-19 vaccines may be part of a eugenics or population control program.
The author explicitly qualifies this as 'some circumstantial evidence' and personal interpretation; no evidence is produced within the document.
- Asserted, not shown
The author claims the panel that mandated remdesivir in the USA was directly appointed by Anthony Fauci and that a majority of its members had financial conflicts with remdesivir's manufacturer.
Stated as fact but no panel records, financial disclosure documents, or appointment records are included or cited with specificity in this document.
- Documented
The document references Robert F. Kennedy Jr.'s book 'The Real Anthony Fauci' as a source for claims about systemic problems within HHS.
“Robert F. Kennedy Jr. has made an excellent case that many of the systemic problems within the HSS originate with Anthony Fauci. They are detailed within The Real Anthony Fauci”✓ verified verbatim
- Documented
The document characterizes Anthony Fauci as 'a truly evil human being.'
“he also is a truly evil human being who has inflicted immense suffering on millions and crippled America's scientific apparatus for his own benefit.”⚠ not machine-verified
- Documented
The document describes the Bayh-Dole Act as having been passed in the early 1980s and as enabling government scientists to receive royalty payments for drugs derived from their discoveries.
“Following the passage of Bayh-Dole Act in the early 1980s, this changed within the federal government to make it possible for government scientists to receive royalty payments for drugs made from their discoveries.”✓ verified verbatim
- Asserted, not shown
The author characterizes the Bayh-Dole Act as having been co-opted by industry to become an instrument of corruption, contrary to its original legislative intent.
Stated as the author's interpretation; no legislative history, legal analysis, or documentary evidence is provided within the document.
- Documented
The document text is incomplete, ending mid-sentence with 'As recounted by RFK Jr'.
“Anthony Fauci burst onto the scene not long after the Bayh-Dole Act was passed and initiated an inexorable tide towards the Department of Health and Human Services becoming a pharmaceutical production center. As recounted by RFK Jr”✓ verified verbatim
- Inferred
The author's claims about institutional corruption and policy decisions are based substantially on works and statements by others (RFK Jr., Goldman Sachs) rather than original investigation by the author.
Inference: The document explicitly cites RFK Jr.'s book and a Goldman Sachs report as primary sources for its central claims, indicating the author is synthesizing and interpreting others' materials rather than presenting independent primary research.
- Inferred
The document's title claims 'Another Investigation Proves' systemic corruption, but the body does not reproduce or describe a specific new investigation.
Inference: Despite the title's reference to a proving investigation, the text consists of the author's assertions and references to external sources; no discrete investigation with findings is identified or reproduced within the visible text.
- Jul 18, 2026
Persistence of Vaccine mRNA, Plasmid DNA, Spike Protein, and Genomic Dysregulation Over 3.5 Years Post-COVID-19 mRNA Vaccination
other · secondary · McCullough Foundation (USA); Institute of Molecular Diagnostics (INMODIA GmbH, Germany); Municipal Hospital Dresden-Friedrichstadt (Germany); Neo7Bioscience (USA)
This is an abstract/description page hosted on doi.org for a case report describing a 55-year-old male who developed multi-organ dysfunction following three Pfizer-BioNTech COVID-19 mRNA vaccine doses, evaluated through longitudinal molecular, immunologic, and tissue-based analyses over approximately 3.5 years.
- Documented
The document identifies itself as reporting a single case of a 55-year-old male who received three doses of the Pfizer-BioNTech COVID-19 mRNA vaccine.
“We report a 55-year-old male who received three doses of the Pfizer–BioNTech COVID-19 mRNA vaccine and subsequently developed progressive multi-organ dysfunction”✓ verified verbatim
- Documented
The document lists specific clinical manifestations attributed to post-COVID-19 vaccine syndrome, including pulmonary emboli, myocarditis, neurocognitive impairment, small fiber neuropathy, and other conditions.
“Clinical manifestations included: pulmonary emboli; delayed MRI-confirmed myocarditis; neurocognitive impairment; small fiber neuropathy; autonomic dysfunction; myalgia; chronic pancreatic and gastrointestinal involvement”✓ verified verbatim
- Documented
The authors characterize the long-term bio-distribution and persistence of COVID-19 RNA vaccine components as insufficiently characterized in existing literature.
“The long-term bio-distribution and persistence of components from COVID-19 RNA vaccines remain insufficiently characterized.”✓ verified verbatim
- Documented
The document claims the diagnostic evaluation included more than 40 emergency department visits, more than 200 outpatient specialty encounters, more than 100 non-routine laboratory investigations, and more than 100 imaging/functional studies.
“After >40 emergency department visits and >200 outpatient specialty encounters, the patient underwent >100 non-routine laboratory investigations and >100 imaging/functional studies.”✓ verified verbatim
- Asserted, not shown
The authors claim the extensive evaluation systematically excluded numerous alternative etiologies including infectious, autoimmune, rheumatologic, endocrine, genetic, hematologic, malignant, and other domains.
The underlying test results, data, and methodology used to exclude these alternative etiologies are not included in the provided text; only the assertion of exclusion is present in the abstract.
- Asserted, not shown
The document asserts that residual vaccine RNA, plasmid DNA fragments, and prolonged spike protein expression may contribute to multi-system post-vaccination syndromes.
The abstract states this as background 'emerging evidence' and a study premise but does not present the underlying data or citations within the provided text.
- Asserted, not shown
The title claims persistence of vaccine mRNA, plasmid DNA, spike protein, and genomic dysregulation over 3.5 years, but the full data supporting these specific findings are not present in the provided text.
The title asserts these findings; the provided text is an abstract/description only and does not contain the underlying molecular or genomic data.
- Documented
The diagnostic evaluation was apparently inconclusive across standard testing categories, as the text states testing 'remained largely nondiagnostic.'
“This evaluation systematically excluded underlying etiologic mechanisms across infectious, autoimmune, rheumatologic, endocrine, genetic, hematologic, malignant, toxic/medication-related, cardiovascular/vascular, metabolic, and primary neurologic domains. Testing remained largely nondiagnostic.”✓ verified verbatim
- Documented
The authors considered the possibility that an undocumented asymptomatic COVID-19 infection manifesting as Long COVID may have played a role, particularly in connection with myocarditis diagnosis.
“A possible undocumented/undiagnosed asymptomatic infection manifesting as Long COVID was suspected after myocarditis diag”✓ verified verbatim
- Inferred
The provided text is truncated and the full abstract or full paper content is not included in the document text supplied.
Inference: The Diagnostic Evaluation paragraph ends mid-sentence ('after myocarditis diag'), indicating the document text was cut off before completion, meaning findings beyond this point cannot be assessed from the supplied text.
- Inferred
The document is a repository landing page or metadata record for an article, not the full primary research paper itself.
Inference: The host is identified as doi.org and the content is labeled 'Description / Abstract,' which are typical metadata fields on a repository or preprint landing page rather than the body of a primary research article.
- Inferred
The affiliated institutions span the United States and Germany, suggesting an international collaboration.
Inference: The listed affiliations explicitly name organizations in 'USA' and 'Germany,' from which an international collaboration can be reasonably inferred.
- Jul 18, 2026
We believe in the power of truth.
other · secondary · McCullough Foundation
This is the McCullough Foundation's organizational website homepage, describing its mission, personnel, focus areas, and media appearances in promotional terms.
- Documented
The McCullough Foundation states its mission involves independent investigations, educational content, advocacy, and public health policy shaping.
“The Foundation works to safeguard public health and liberty by performing independent investigations, producing educational content, advocating for justice, and shaping sound public health policies.”✓ verified verbatim
- Documented
Dr. Peter McCullough testified before the U.S. Senate on May 21, 2025.
“On May 21, 2025, he testified before the U.S. Senate about how U.S. government agencies have consistently downplayed this risk, with devastating consequences for thousands of young people.”✓ verified verbatim
- Asserted, not shown
The document claims U.S. government agencies have consistently downplayed the risk of vaccine-induced myocarditis, but provides no evidence or data to support this within the document itself.
The claim is attributed to Dr. McCullough's Senate testimony and 'extensive investigative scholarship,' neither of which is reproduced or linked within this page.
- Documented
The Foundation claims to have published more than 20 scientific studies on COVID-19 vaccine injuries and early treatments.
“Producing rigorous research and publishing peer-reviewed scientific reports, including more than 20 scientific studies on COVID-19 vaccine injuries and early treatments”✓ verified verbatim
- Asserted, not shown
The Foundation claims its published studies are peer-reviewed, but no citations, journal names, or links to the studies are provided in the document.
The document asserts peer-review status but does not reproduce, cite, or link to any of the studies.
- Documented
The document claims autism prevalence rose from approximately 1 in 10,000 children in 1970 to 1 in 31 children in 2025.
“from approximately 1 in 10,000 children in 1970 (derived from early epidemiologic studies) to 1 in 31 children in 2025 (CDC Autism and Developmental Disabilities Monitoring [ADDM] Network)”⚠ not machine-verified
- Documented
The document implies a causal or contributory relationship between routine childhood vaccination and autism spectrum disorder.
“Routine childhood vaccination represents the most extensive and recurrent immune and inflammatory exposure during early neurodevelopment, capable of amplifying underlying susceptibilities.”✓ verified verbatim
- Inferred
The document presents a graph correlating vaccine doses recommended by age two with autism prevalence, implying a meaningful relationship between the two trends.
Inference: The document places vaccine dose counts and autism prevalence on the same chart under the heading 'Autism Prevalence and Vaccine Doses,' which invites the reader to infer a relationship, though no causal analysis or statistical methodology is described on the page.
- Documented
Nicolas Hulscher holds a Master of Public Health in Epidemiology from the University of Michigan School of Public Health, earned in 2024.
“his Master of Public Health in Epidemiology from the University of Michigan School of Public Health in 2024.”✓ verified verbatim
- Documented
Dr. McCullough holds degrees from Baylor University, University of Texas Southwestern Medical School, University of Michigan, and Southern Methodist University.
“internist, cardiologist, epidemiologist holding degrees from Baylor University, University of Texas Southwestern Medical School, University of Michigan, and Southern Methodist University.”✓ verified verbatim
- Asserted, not shown
Dr. McCullough has more than 1,000 publications and more than 700 citations in the National Library of Medicine, according to the document.
The document states these figures but provides no listing, index, or link to the National Library of Medicine records to substantiate them.
- Asserted, not shown
The document claims the Foundation provided a specific patient ('Brian') with diagnostics and treatment protocols after conventional medicine failed him.
This is a testimonial narrative presented without any clinical records, patient consent documentation, or independent verification.
- Documented
The Foundation describes itself as providing pro bono legal defense and expert witness support to physicians.
“Providing pro bono legal defense and expert witness support to silenced physicians and ethical professionals in landmark medical freedom cases.”✓ verified verbatim
- Inferred
The website is a promotional organizational homepage rather than a primary research document, scientific report, or government record.
Inference: The page structure includes donor appeals, media appearances, team bios, and mission statements characteristic of a nonprofit fundraising/advocacy website, not a primary evidentiary document.
- Jul 17, 2026
What percent of autism cases are attributable to vaccines?
news article · secondary · tobyrogers.substack.com (author: Toby Rogers, referencing Steve Kirsch)
A Substack opinion piece by Toby Rogers explaining the Population Attributable Fraction (PAF) statistical method and applying it to three cited studies to argue that 75.6%–79.6% of autism cases are attributable to vaccines.
- Documented
The author and Steve Kirsch independently arrived at the same PAF estimate for autism cases caused by vaccines.
“Steve Kirsch and I independently arrived at the same estimate for the Population Attributable Fraction (PAF) of autism cases caused by vaccines.”✓ verified verbatim
- Documented
The document defines PAF using the formula PAF = Pe(RR − 1) / [Pe(RR − 1) + 1].
“PAF = Pe(RR − 1) / [Pe(RR − 1) + 1]”✓ verified verbatim
- Documented
The document attributes the intellectual foundation of PAF to Morton Levin in a 1953 paper.
“The intellectual foundation was laid by Morton Levin, an epidemiologist at Roswell Park Memorial Institute in Buffalo, in a 1953 paper in Acta Unio Internationalis Contra Cancrum.”✓ verified verbatim
- Documented
Mawson et al. (2017) reported an odds ratio of 4.2 (CI: 1.2, 14.5) for autism diagnosis in vaccinated vs. unvaccinated homeschool children.
“Mawson et al. (2017) in a study of homeschool children in Florida, Louisiana, Mississippi, and Oregon found that vaccinated children had 4.2 times higher odds of an autism diagnosis compared to unvaccinated children (OR = 4.2; CI: 1.2, 14.5).”✓ verified verbatim
- Documented
Mawson & Jacob (2025) using Florida Medicaid data reported an odds ratio of 4.4 (95% CI: 2.85, 6.84) for autism diagnosis in children with 11 or more vaccination visits vs. those with none.
“Mawson & Jacob (2025) using Florida Medicaid data found that children with 11 or more visits to the doctor that included vaccinations were 4.4 times more likely to have been diagnosed with autism than those with no visit for vaccination (95% CI: 2.85, 6.84).”✓ verified verbatim
- Documented
Hooker & Miller (2021) reported an odds ratio of 5.03 (95% CI: 1.64, 15.5) for autism in vaccinated children across three medical practices.
“Hooker & Miller (2021) in a study of three medical practices in the U.S. found that vaccination increases the odds of developing autism 5.03-fold (95% CI 1.64, 15.5).”✓ verified verbatim
- Documented
The author uses Pe = 0.97 (97% vaccination prevalence) in all three PAF calculations.
“We'll use a Pe of 0.97 to reflect the fact that 97% of children are vaccinated.”⚠ not machine-verified
- Documented
Applying the PAF formula to the three studies yields a range of 75.6% to 79.6%.
“So that gives us our range — 75.6% to 79.6%. What this means is that, if the OR is real and causal, approximately 75.6% to 79.6% of current autism cases would not exist if no children were vaccinated.”✓ verified verbatim
- Documented
The document itself acknowledges that the PAF calculation assumes the OR is causal, not merely associational.
“A key limitation — PAF assumes the OR (or RR) is causal, not merely associational. If the association between vaccination and autism is confounded”✓ verified verbatim
- Asserted, not shown
The three cited studies (Mawson et al. 2017, Mawson & Jacob 2025, Hooker & Miller 2021) establish a causal relationship between vaccines and autism.
The document cites odds ratios from these studies but does not reproduce their methodology, data, or peer-review status; causality is assumed by the author as a premise for the PAF calculation, not demonstrated within this document.
- Asserted, not shown
The claim that 97% of children are vaccinated is taken as given without citation in the document.
The Pe = 0.97 figure is stated as a fact but no source or dataset is cited to support it within this document.
- Inferred
The author treats the odds ratios from these three studies as interchangeable with relative risk for PAF purposes.
Inference: The author acknowledges using OR as an approximation for RR, justified by low autism prevalence; this is an analytical choice that the document describes but the reader must accept or reject independently of what is printed.
- Inferred
The document is an opinion/advocacy piece rather than a peer-reviewed scientific publication.
Inference: It is published on a personal Substack, written in first person, and characterizes its own finding as 'revolutionary' and 'groundbreaking,' indicating editorial rather than peer-reviewed scientific framing.
- Documented
Steve Kirsch previously published work reaching the same PAF estimate, and the author was previously unaware of it.
“I previously missed his groundbreaking work on this topic (see 1, 2, and 3).”✓ verified verbatim
- Apr 29, 2026
A new Majority Staff Interim Report from Sen. Ron Johnson’s Permanent Subcommittee on Investigations was released today (April 29, 2026), titled Unmasked: How Biden Health Officials Purposely Turned a
news article · secondary · McCullough Foundation (author/publisher via Substack)
A secondary write-up by a McCullough Foundation author summarizing and characterizing the contents of a Majority Staff Interim Report from Sen. Ron Johnson's Permanent Subcommittee on Investigations regarding alleged suppression of COVID-19 vaccine safety signals at the FDA.
- Documented
The author states that a Majority Staff Interim Report from Sen. Ron Johnson's Permanent Subcommittee on Investigations was released on April 29, 2026, with a specific title.
“A new Majority Staff Interim Report from Sen. Ron Johnson's Permanent Subcommittee on Investigations was released today (April 29, 2026), titled Unmasked: How Biden Health Officials Purposely Turned a Blind Eye”⚠ not machine-verified
- Documented
The write-up claims Dr. Ana Szarfman is described as a senior FDA medical officer and key developer of the agency's data mining system.
“FDA senior medical officer Dr. Ana Szarfman (a key developer of the agency's own data mining system) teamed up with Dr. William DuMouchel (the statistician who literally invented FDA's "gold standard" EB data mining algorithm)”⚠ not machine-verified
- Documented
The write-up claims the new method used was called the Regression-Adjusted Gamma Poisson Shrinker (RGPS) and was designed to address a 'masking' flaw.
“Their new method (Regression-Adjusted Gamma Poisson Shrinker — RGPS) fixed a known flaw called "masking" — where signals for one COVID vaccine get drowned out by the sheer volume of reports from the others.”⚠ not machine-verified
- Asserted, not shown
The write-up claims the RGPS analysis identified 49 examples of extreme masking and approximately 25 new statistically significant safety signals missed by FDA's standard method.
These quantitative findings are attributed to the underlying Senate report and/or underlying FDA analyses; no data, tables, or exhibits are reproduced in this write-up to demonstrate them.
- Documented
The write-up claims the safety signals identified included sudden cardiac death, acute myocardial infarction, pulmonary infarction, Bell's palsy, dementia, and 'Death and sudden death' for Pfizer, Moderna, and J&J vaccines.
“Signals included: sudden cardiac death, acute myocardial infarction, pulmonary infarction, Bell's palsy, non-site specific embolism/thrombosis, dementia, and "Death and sudden death" — for Pfizer, Moderna, and J&J shots”⚠ not machine-verified
- Asserted, not shown
The write-up claims Dr. Szarfman shared her findings with CBER officials including Dr. Peter Marks across multiple months in 2021.
The write-up attributes this to internal FDA communications documented in the Senate report; no communications are reproduced here, only the author's characterization.
- Documented
The write-up claims CBER officials told Dr. Szarfman to 'hold off' on creating data mining reports, called her work a 'major distraction,' and eventually issued a 'cease and desist' order.
“Told her to "hold off" on creating and sending any more data mining reports — Called her work a "major distraction" — Worried it would "create erroneous conflicts that feed into anti-vaccination rhetoric" — Eventually ordered her to "cease and desist"”⚠ not machine-verified
- Asserted, not shown
The write-up claims FDA restricted distribution of its weekly data mining reports to CDC around the time FOIA requests and Sen. Johnson's letters arrived.
Attributed to the Senate report; no underlying documentation or timeline is reproduced in this write-up.
- Documented
The write-up claims a CDC official admitted they may have asked FDA to stop sending data mining reports 'because of the FOIAs.'
“One CDC official even admitted they may have asked FDA to stop sending them "because of the FOIAs."”⚠ not machine-verified
- Documented
The write-up claims Dr. Szarfman and Dr. DuMouchel published findings in the journal Drug Safety in 2022 showing masking was eight times more likely with COVID vaccines.
“Dr. Szarfman and DuMouchel published their findings in Drug Safety (2022) showing masking was eight times more likely with COVID vaccines, and Dr. Robert Califf replied "Thanks. These are good,"”⚠ not machine-verified
- Asserted, not shown
The write-up claims no methodological changes were made at FDA after Dr. Califf's acknowledgment of the published findings.
This is a claim about institutional inaction attributed to the Senate report; no evidence of FDA's post-2022 methodology decisions is reproduced here.
- Documented
The author characterizes the described events as a 'deliberate suppression of safety signals' and a 'cover-up,' and calls for accountability.
“This is documented, internal FDA communication showing deliberate suppression of safety signals at the exact moment millions of Americans were being told the shots were "safe and effective." The cover-up continues to unravel. Accountability is urgently warranted.”⚠ not machine-verified
- Documented
The author is affiliated with the McCullough Foundation and is identified as an epidemiologist and foundation administrator.
“Epidemiologist and Foundation Administrator, McCullough Foundation”✓ verified verbatim
- Inferred
This write-up represents the author's interpretation and advocacy framing of the Senate report, not a neutral summary.
Inference: The author's institutional affiliation with the McCullough Foundation, combined with explicit normative language ('explosive,' 'cover-up,' 'accountability is urgently warranted'), indicates this is an advocacy-oriented secondary summary rather than a neutral or disinterested account.
- Sep 4, 2023
@CoryRove: @JacksonJam50990 @FreeSoulUS1 @SMOrkney @RBarker0341 @Unity_Coach @kiw
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove, posted in reply to @JacksonJam50990, poses a rhetorical question about whether data related to a 'new vaccine' would be hidden, with an attached image and an external link.
- Documented
The tweet poses a rhetorical question suggesting that data about a 'new vaccine' might be hidden.
“you don't think they would hide data about this new vaccine would they?”⚠ not machine-verified
- Documented
The tweet includes an attached image identified by filename F5LekLmaIAAi9gR.jpg.
“[Attached media (1): F5LekLmaIAAi9gR.jpg]”✓ verified verbatim
- Documented
The tweet includes an external hyperlink (https://t.co/p3IvCDb5YI) whose destination content is not reproduced in this document.
“https://t.co/p3IvCDb5YI”✓ verified verbatim
- Inferred
The tweet was directed at a large number of other Twitter accounts, numbering more than 30 handles listed explicitly.
Inference: The tweet body lists more than 30 '@' handles before the substantive text, indicating intentional mass-mention; the document does not state the count explicitly.
- Asserted, not shown
The linked URL and attached image contain information supporting the claim about vaccine data concealment.
The image content is not reproduced in text, and the linked URL destination is not included in the document; neither can be evaluated from the text alone.
- Jun 2, 2023
@CoryRove: @WTPRPOed @jillmotorfreak @itsJeffTiedrich I found this correlation in
news article · secondary · @CoryRove (Twitter/X user)
This document is a single tweet by user @CoryRove sharing a link to an external EKOS Politics report and characterizing it as showing a correlation between vaccine status and attitudes toward Ukraine.
- Documented
The tweet author describes finding a correlation between vaccine status and Ukraine attitudes interesting.
“I found this correlation interesting between Vaccine status and Ukraine Attitudes”✓ verified verbatim
- Documented
The tweet links to an EKOS Politics webpage dated March 2022 concerning public attitudes to the Ukraine conflict by vaccine acceptance.
“https://www.ekospolitics.com/index.php/2022/03/public-attitudes-to-ukraine-conflict-by-vaccine-acceptance/”✓ verified verbatim
- Documented
The tweet was posted in reply to user @WTPRPOed, within a thread also involving @jillmotorfreak and @itsJeffTiedrich.
“@WTPRPOed @jillmotorfreak @itsJeffTiedrich”✓ verified verbatim
- Asserted, not shown
The linked EKOS Politics report actually demonstrates a statistically meaningful correlation between vaccine status and Ukraine attitudes.
The text of the linked report is not included in this document; only the URL is present. The tweet author's characterization of its contents cannot be verified from this document alone.
- Inferred
The tweet author may have shared the link to support a broader argument being made in the reply thread.
Inference: The tweet is a reply in a multi-user conversation, suggesting it is part of an ongoing discussion, but the content of that discussion is not present in this document.
- May 14, 2023
@CoryRove: Anyone want to argue the media is not part of the problem. They tried
news article · secondary · @CoryRove (Twitter/X user)
This document is a tweet by @CoryRove making rhetorical claims about media conduct and vaccines, linking to another tweet by @tomselliott as a cited source.
- Asserted, not shown
The tweet author asserts that media tried to divide Americans and lied about vaccines.
The tweet makes this claim rhetorically but provides no evidence or demonstration within the document itself; it links to an external tweet whose content is not reproduced here.
- Documented
The tweet contains a link to an external tweet by @tomselliott as its cited source.
“https://x.com/tomselliott/status/1657021799652024324”✓ verified verbatim
- Inferred
The author frames the question as rhetorical, implying the media's culpability is self-evident.
Inference: The phrasing 'Anyone want to argue' presupposes a negative answer, suggesting the author treats the claim as established rather than open to debate.
- Feb 28, 2023
465 2_28_2023 Vaccines and Related Biological Products Advisory Committee February 28 - March 1, 2023 Meeting Briefing Document- FDA Applicant Pfizer - VRBPAC-02.28.23-03.01.23-Meeting-Briefing-Document-FDA-Applicant-Pfizer
other · primary · U.S. Food and Drug Administration (FDA)
This is an FDA briefing document prepared for the Vaccines and Related Biological Products Advisory Committee (VRBPAC) meeting reviewing Pfizer's Biologics License Application for Abrysvo, a respiratory syncytial virus vaccine.
- Documented
The document is an FDA briefing document for a VRBPAC meeting dated February 28, 2023.
“Vaccines and Related Biological Products Advisory Committee Meeting February 28, 2023 FDA Briefing Document Respiratory Syncytial Virus Vaccine (Proposed Trade Name: Abrysvo)”⚠ not machine-verified
- Documented
The applicant for the RSV vaccine Abrysvo is Pfizer, Inc.
“Applicant: Pfizer, Inc.”⚠ not machine-verified
- Documented
The document covers FDA review of clinical safety and efficacy data, including a primary efficacy/safety study designated Study 1013.
“3. FDA Review of Clinical Safety and Efficacy Data . . . 8 3.1 Overview of Clinical Studies . . . 8 3.2 Study 1013”⚠ not machine-verified
- Documented
The document addresses the topic of vaccine-associated enhanced respiratory disease as a section of the briefing.
“2.4 Vaccine-Associated Enhanced Respiratory Disease”⚠ not machine-verified
- Documented
The document includes a Pharmacovigilance Plan (PVP) section, indicating post-market safety monitoring was under consideration.
“4. Pharmacovigilance Plan (PVP)”⚠ not machine-verified
- Documented
The document covers participant disposition and analysis populations for Study 1013, with both all-randomized and safety population tables present.
“Table 4. Disposition, All Randomized Participants, Study 1013 . . . 15 Table 5. Disposition, Safety Population, Study 1013”⚠ not machine-verified
- Inferred
The document includes a section on topics for VRBPAC discussion, indicating the committee had not yet voted or reached conclusions as of the document's preparation.
Inference: A section titled 'Topics for VRBPAC Discussion' (p. 33) implies the meeting had not yet occurred and questions remained open for committee deliberation at the time of document preparation.
- Documented
The document evaluates supporting clinical studies beyond Study 1013 that were submitted to the BLA.
“3.3 Safety Review of Supporting Studies Submitted to the BLA”⚠ not machine-verified
- Asserted, not shown
The full underlying clinical trial data, participant-level datasets, and statistical analyses referenced in the document are not reproduced within the text provided.
The document text supplied is limited to the cover page and table of contents; the actual data tables, efficacy results, safety narratives, and referenced figures are not present in the provided text.
- Feb 9, 2023
@CoryRove: @Scary7Dr @375NorseLegend @delboy00789 @andrew7rd @Ravi1236541 @Tdillo
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove replying to a multi-party Twitter conversation, making rhetorical arguments against vaccination and characterizing other replies as bot responses, with an attached image.
- Documented
The tweet is a reply directed at @Scary7Dr and numerous other accounts
“[In reply to @Scary7Dr]”✓ verified verbatim
- Documented
The author claims the argument being made works against the opposing party's position
“This actually works against your argument”✓ verified verbatim
- Documented
The author characterizes some of the replies in the conversation as bot responses
“Here are the bot responses....”✓ verified verbatim
- Documented
The author poses a rhetorical dichotomy suggesting vaccination reflects either ignorance or reckless self-experimentation
“Is that because he is stupid or because you willingly experiment on yourself with callous disregard”✓ verified verbatim
- Documented
The tweet includes an attached image (PNG file)
“[Attached media (1): FojQZ3yXEAISTQB.png]”✓ verified verbatim
- Documented
The author accuses the opposing party of desperation
“this desperation wreaks”✓ verified verbatim
- Asserted, not shown
The content of the attached image is unknown from this document alone
The image file is referenced by filename and a t.co shortened URL but its contents are not reproduced in the document text
- Inferred
The author intended the attached image as evidence supporting the claim that certain replies are bots
Inference: The phrase 'Here are the bot responses' immediately precedes the image link, suggesting the image is meant to substantiate that claim, but this connection is not explicitly stated
- Feb 9, 2023
@CoryRove: @DHasper @Ravi1236541 @DebateOnFacts @BlaylockMooky @LauriHWilliams @a
news article · secondary · @CoryRove (Twitter/X user)
A public tweet by user @CoryRove making claims about mRNA vaccines and children, posing rhetorical questions about gp-120 proteins and spike proteins, and linking to a PubMed citation.
- Asserted, not shown
The tweet asserts that children never needed the mRNA vaccine.
This is a declarative claim made by the Twitter user with no supporting evidence or data presented in the tweet itself.
- Asserted, not shown
The tweet asserts that 'the jab broke their immune system... along with their hearts and minds.'
This is a causal claim presented without any supporting evidence, data, or study within the document.
- Documented
The tweet poses rhetorical questions about whether GP-120 is a prion and whether the spike protein contains three gp-120 proteins.
“Is GP-120 a prion? Does the spike protein contain three of these gp-120 proteins?”✓ verified verbatim
- Documented
The tweet includes a link to a PubMed article (PMID 9745929) as a cited source.
“https://pubmed.ncbi.nlm.nih.gov/9745929/”✓ verified verbatim
- Documented
The tweet was addressed to a large number of named Twitter accounts, including @RobertKennedyJr.
“@RobertKennedyJr @bobscartoons Kids never needed it the mRNA vaccine.”✓ verified verbatim
- Asserted, not shown
The linked PubMed article supports or is relevant to the claims made about gp-120, spike proteins, or vaccine safety.
The content of the linked PubMed article (PMID 9745929) is not reproduced in this document; no connection between the citation and the claims is demonstrated within the tweet itself.
- Feb 3, 2023
@CoryRove: @andrew7rd @NeanderthalSME @Michael94173566 @VoteSwitcher @BlaylockMoo
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove, replying to @andrew7rd and tagging numerous other users, containing a rhetorical comment about a vaccine and a link to an external URL with an attached image.
- Documented
The tweet was posted on February 3, 2023 at 13:45:17 UTC by the account @CoryRove.
“Tweet by @CoryRove — Fri Feb 03 13:45:17 +0000 2023”✓ verified verbatim
- Documented
The tweet contains the text 'Yep… how's that vaccine working out.' followed by an external link.
“Yep… how's that vaccine working out. https://t.co/07zVUqYl8r”⚠ not machine-verified
- Documented
The tweet is a reply directed at @andrew7rd.
“[In reply to @andrew7rd]”✓ verified verbatim
- Documented
An image file (FoC-S74aEAM7yJ-.jpg) is attached to the tweet.
“[Attached media (1): FoC-S74aEAM7yJ-.jpg]”✓ verified verbatim
- Inferred
The tweet is addressed to or tags approximately 50 other Twitter accounts in addition to @andrew7rd.
Inference: The body of the tweet begins with a long list of @-mentions before the substantive text, which in Twitter convention indicates either recipients or users being drawn into a conversation thread.
- Inferred
The rhetorical question 'how's that vaccine working out' implies a negative or skeptical claim about vaccine efficacy or safety.
Inference: The phrasing is rhetorical and sarcastic in register, suggesting a critical stance, but the document does not state a specific factual claim explicitly.
- Asserted, not shown
The linked URL (https://t.co/07zVUqYl8r) and attached image contain content relevant to the vaccine comment.
The destination of the shortened URL and the contents of the attached image are not reproduced in the document text provided; their content cannot be assessed from this document alone.
- Jan 27, 2023
@CoryRove: @kentskinner @Michael94173566 @umfpt @375NorseLegend @VoteSwitcher @Bl
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove directed at multiple users that poses a question about vaccine damage and includes two attached images, within what appears to be a multi-party conversation thread.
- Documented
The tweet was posted on January 27, 2023 at 22:32:13 UTC
“Fri Jan 27 22:32:13 +0000 2023”✓ verified verbatim
- Documented
The tweet was directed at approximately 50 other Twitter accounts
“@kentskinner @Michael94173566 @umfpt @375NorseLegend @VoteSwitcher @BlaylockMooky @DebateOnFacts @DHasper @mpc_xetts @delboy00789”✓ verified verbatim
- Documented
The author poses the question 'Does the vaccine cause any damage at all?'
“Q. Does the vaccine cause any damage at all?”✓ verified verbatim
- Documented
Two image attachments were included with the tweet
“[Attached media (2): FngyDm9acAEFCVW.png, Fngy47DX0AAlPif.png]”✓ verified verbatim
- Documented
The author indicates they have not previously explored the recipient's tweets
“no examples as I have never explored your tweets”✓ verified verbatim
- Documented
The author characterizes the recipient as 'ironic' and references something in the recipient's bio and pinned tweet
“My opinion is you are ironic. You seem proud of something in your bio and pinned tweet.”✓ verified verbatim
- Inferred
The tweet is part of an ongoing multi-party conversation rather than an original standalone post
Inference: The presence of ~50 @ mentions and the phrase 'Agreed, but' indicate this is a reply within a larger thread, not an initiating post.
- Asserted, not shown
The attached images contain content relevant to the vaccine damage question
The images are referenced by filename only; their contents are not reproduced in the document text and cannot be assessed.
- Asserted, not shown
The linked URL (https://t.co/eZnKd3QJPU) contains content supporting or relevant to the vaccine question
The URL is present but its destination content is not included in this document.
- Jan 12, 2023
@CoryRove: @andrew7rd @Michael94173566 @MarsNAO @TakethatCt @LauriHWilliams @umfp
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove replying to multiple users, asserting a double standard regarding excess death reports and VAERS reports, and linking to an Epoch Times article about CDC safety signals for COVID-19 vaccines.
- Documented
The tweet author claims to be posting content to demonstrate a double standard held by the people they are addressing.
“I am posting it to prove your double standard... You love the excess death reports but won't acknowledge the VAERS reports”✓ verified verbatim
- Documented
The tweet author claims the CDC would not acknowledge VAERS reports until forced to release information.
“just like the CDC wouldn't till they were forced to release the info”✓ verified verbatim
- Documented
The tweet links to an Epoch Times article titled about the CDC finding hundreds of safety signals for Pfizer and Moderna COVID-19 vaccines.
“https://www.theepochtimes.com/mkt_app/health/exclusive-cdc-finds-hundreds-of-safety-signals-for-pfizer-and-moderna-covid-19-vaccines_4956733.html”✓ verified verbatim
- Asserted, not shown
The CDC was 'forced' to release VAERS-related information.
The tweet asserts this characterization but provides no documentation, legal order, or evidence of compulsion within the document itself.
- Asserted, not shown
The addressed users accept excess death reports but reject VAERS reports.
The tweet asserts this behavioral double standard about the mentioned users, but no statements or evidence from those users are included in this document.
- Inferred
The tweet is part of a larger ongoing conversation involving at least one prior exchange with @andrew7rd.
Inference: The metadata indicates this is 'In reply to @andrew7rd,' and the large number of tagged accounts suggests an extended multi-party thread, though no prior messages are reproduced in this document.
- Jan 10, 2023
@CoryRove: @andrew7rd @BlaylockMooky @umfpt @delboy00789 @GeezercitizenX @Oneguy8
news article · secondary · @CoryRove (Twitter/X user)
This document is a tweet by user @CoryRove quoting a partial passage about VAERS and linking to an Epoch Times article, posted as a reply in a multi-user Twitter conversation.
- Documented
The tweet quotes a partial sentence describing VAERS as a passive reporting system whose reports are mostly lodged by health care professionals who were told they were required to report post-vaccination events during COVID-19.
“VAERS is a passive reporting system that accepts reports from anybody, but most are lodged by health care professionals, who were told during the COVID-19 pandemic that they were required to lodge reports if post-vaccina...”✓ verified verbatim
- Documented
The quoted passage is truncated and does not appear in full within the tweet itself.
“post-vaccina...”✓ verified verbatim
- Documented
The tweet links to an Epoch Times article titled 'Exclusive: CDC Finds Hundreds of Safety Signals for Pfizer and Moderna COVID-19 Vaccines'.
“https://www.theepochtimes.com/health/exclusive-cdc-finds-hundreds-of-safety-signals-for-pfizer-and-moderna-covid-19-vaccines_4956733.html”✓ verified verbatim
- Documented
The tweet is a reply directed at @andrew7rd and involves a large number of other tagged users.
“[In reply to @andrew7rd]”✓ verified verbatim
- Inferred
The tweet author is arguing that @andrew7rd did not read the linked article.
Inference: The phrase 'More proof you didn't read it' directly addresses @andrew7rd and implies a prior exchange in which @CoryRove believes @andrew7rd failed to read the source being discussed.
- Asserted, not shown
The content of the linked Epoch Times article, including the full quoted passage and any CDC findings described therein, is accurate or substantiated.
The tweet only reproduces a truncated fragment of the article and provides a URL; the article itself and its underlying data are not included in this document.
- Jan 1, 2023
448 1_17_2023 Castruita, et al
other · primary · Department of Clinical Microbiology, Copenhagen University Hospital Amager-Hvidovre, and affiliated institutions, Denmark
A peer-reviewed short communication reporting the detection of SARS-CoV-2 spike mRNA vaccine sequences in blood samples of hepatitis C patients up to 28 days post-vaccination, identified incidentally during routine HCV RNA sequencing.
- Documented
In 10 of 108 HCV patient samples, full-length or traces of SARS-CoV-2 spike mRNA vaccine sequences were detected in blood up to 28 days after COVID-19 vaccination.
“In 10 of 108 HCV patient samples, full-length or traces of SARS-CoV-2 spike mRNA vaccine sequences were found in blood up to 28 days after COVID-19 vaccination.”✓ verified verbatim
- Documented
The vaccines used in Denmark were the Pfizer-BioNTech (BTN162b2) and Moderna (mRNA-1273) mRNA vaccines.
“In Denmark, vaccination against Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2) has been with the Pfizer-BioNTech (BTN162b2) or the Moderna (mRNA-1273) mRNA vaccines.”⚠ not machine-verified
- Documented
The vaccine mRNA sequences are codon-optimized and modified, allowing identification as distinct from natural coronavirus sequences.
“The modified nucleotide sequences allow perfect identification of the vaccine sequences as being different from any coronavirus sequence.”⚠ not machine-verified
- Documented
RNA was extracted from patient plasma and sequenced on the Illumina platform as part of routine HCV monitoring, not as a dedicated vaccine study.
“To monitor HCV infection, RNA was extracted from patient plasma and RNA sequencing was performed on the Illumina platform.”✓ verified verbatim
- Documented
Both vaccines encode the full-length SARS-CoV-2 spike protein with two stabilizing proline substitutions and mRNA encapsulated in lipid nanoparticles.
“Both the Pfizer-BioNTech (BTN162b2) and the Moderna (mRNA-1273) vaccines code for production of the full-length SARS-CoV-2 spike protein.”⚠ not machine-verified
- Documented
The authors recommend further research into lipid nanoparticle design and mRNA vaccine half-life in humans based on these findings.
“Detection of mRNA vaccine sequences in blood after vaccination adds important knowledge regarding this technology and should lead to further research into the design of lipid-nanoparticles and the half-life of these and mRNA vaccines in humans.”✓ verified verbatim
- Inferred
The detection of vaccine mRNA in blood was incidental, arising from a study designed to monitor HCV rather than to investigate vaccine biodistribution.
Inference: The document states the sequencing was performed 'to monitor HCV infection' and the patient cohort was defined by HCV status, not by vaccination interest, indicating the vaccine findings were not the primary study objective.
- Asserted, not shown
The detected mRNA sequences in blood are biologically active or capable of producing spike protein in vivo at the time of detection.
The document reports detection of mRNA sequences but does not present data on translational activity, protein production, or functional integrity of the detected sequences in circulating blood.
- Asserted, not shown
The vaccine mRNA, upon intramuscular injection, is taken up by muscle and immune cells and transported to regional lymph nodes and concentrated in the spleen.
This is stated in the Introduction as background scientific context but is attributed to prior literature (references [3]) and not demonstrated by data in this document.
- Asserted, not shown
The study population of 108 HCV patients is representative of broader vaccinated populations.
The document does not make this claim explicitly, and the cohort is a specialized clinical group (chronic HCV patients), limiting generalizability; the document does not address this limitation within the provided text.
- Dec 14, 2022
@CoryRove: @TakethatCt @DHasper @BlaylockMooky @LauriHWilliams @baggers951 @mpc_x
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove quoting a study conclusion about COVID vaccine hesitancy and traffic crash risk, accompanied by a link to an MSN news article covering that study.
- Documented
The tweet quotes a study as suggesting that COVID vaccine hesitancy is associated with increased risks of a traffic crash.
“These data suggest that COVID vaccine hesitancy is associated with significant increased risks of a traffic crash. An awareness of these risks might help to encourage more COVID vaccination.”✓ verified verbatim
- Documented
The tweet author characterizes mainstream media (MSM) as running with the study's findings.
“And the msm runs with it.”✓ verified verbatim
- Documented
The tweet links to an MSN health news article titled about people who skipped COVID vaccines being at higher risk of traffic accidents.
“https://www.msn.com/en-us/health/health-news/people-who-skipped-their-covid-vaccine-are-at-higher-risk-of-traffic-accidents-according-to-a-new-study/ar-AA15eHWR”✓ verified verbatim
- Inferred
The tweet author appears skeptical of the study's framing or the media coverage of it.
Inference: The phrasing 'The study suggests it' (emphasizing hedge language) followed by 'And the msm runs with it' implies the author views the media coverage as overclaiming relative to what the study actually establishes, but this skepticism is not explicitly stated.
- Asserted, not shown
The underlying study itself is valid, peer-reviewed, or methodologically sound.
The tweet quotes a conclusion from the study but provides no access to the study itself, its methodology, sample size, or peer-review status. The MSN article is a secondary source about the study, not the study itself.
- Asserted, not shown
The quoted text is an accurate verbatim excerpt from the study referenced.
The tweet presents the quote as coming from the study, but no primary source document is directly linked; accuracy of the quotation cannot be verified from this document alone.
- Oct 27, 2022
309
other · primary · COVID-19 Lombardy ICU Network (Grasselli et al., published in JAMA Network Open)
A retrospective cohort study reporting associations between COVID-19 vaccination status and ICU admission rates and outcomes (mortality, baseline characteristics) among critically ill patients in Lombardy, Italy, from August 1 to December 15, 2021.
- Documented
The study population of Lombardy, Italy comprised 10,107,674 inhabitants with a median age of 48 years, of whom 51.0% were female.
“Among the 10107674 inhabitants of Lombardy, Italy, at the time of this study, the median [IQR] age was 48 [28-64] years and 5154914 (51.0%) were female.”⚠ not machine-verified
- Documented
Of the 7,863,417 vaccinated individuals, 79.5% received an mRNA vaccine, 7.0% received an adenoviral vector vaccine, 13.5% received a mix of vaccines, and 57.2% were boosted.
“6251417 (79.5%) received an mRNA vaccine, 550439 (7.0%) received an adenoviral vector vaccine, and 1061561 (13.5%) received a mix of vaccines and 4497875 (57.2%) were boosted.”⚠ not machine-verified
- Documented
The incidence rate ratio (IRR) for ICU admission among individuals who received an mRNA vaccine within 120 days of the last dose was 0.03 (95% CI, 0.03–0.04; P < .001) compared with unvaccinated people.
“IRR of individuals who received an mRNA vaccine within 120 days from the last dose was 0.03 (95% CI, 0.03-0.04; P < .001)”⚠ not machine-verified
- Documented
The IRR for ICU admission among individuals who received an adenoviral vector vaccine after 120 days was 0.21 (95% CI, 0.19–0.24; P < .001) compared with unvaccinated people.
“IRR of individuals who received an adenoviral vector vaccine after 120 days was 0.21 (95% CI, 0.19-0.24; P < .001)”⚠ not machine-verified
- Documented
Of 553 patients admitted to an ICU for COVID-19 pneumonia during the study period, 139 (25.1%) were vaccinated and 414 (74.9%) were unvaccinated.
“There were 553 patients admitted to an ICU for COVID-19 pneumonia during the study period: 139 patients (25.1%) were vaccinated and 414 (74.9%) were unvaccinated.”⚠ not machine-verified
- Documented
Vaccinated patients admitted to the ICU were older than unvaccinated patients (median age 72 vs. 60 years; P < .001).
“vaccinated patients were older (median [IQR]: 72 [66-76] vs 60 [51-69] years; P < .001)”⚠ not machine-verified
- Documented
Vaccinated patients admitted to the ICU had more comorbidities than unvaccinated patients (median 2 vs. 0; P < .001).
“more comorbidities (median [IQR]: 2 [1-3] vs 0 [0-1] comorbidities; P < .001)”⚠ not machine-verified
- Documented
Vaccinated ICU patients had a higher PaO2/FiO2 ratio at ICU admission than unvaccinated patients (median 138 vs. 120 mmHg; P = .007).
“higher ratio of arterial partial pressure of oxygen (PaO2) and fraction of inspiratory oxygen (FiO2) at ICU admission (median [IQR]: 138 [100-180] vs 120 [90-158] mmHg; P = .007)”⚠ not machine-verified
- Documented
ICU and hospital mortality were similar between vaccinated and unvaccinated patients after adjustment for confounders.
“ICU and hospital mortality were similar between vaccinated and unvaccinated patients.”⚠ not machine-verified
- Documented
Factors associated with ICU and hospital mortality included higher age, premorbid heart disease, lower PaO2/FiO2 at ICU admission, and female sex (the last only for ICU mortality).
“Factors associated with ICU and hospital mortality were high age, premorbid heart disease, lower PaO2/FiO2 at ICU admission, and female sex (this factor only for ICU mortality).”⚠ not machine-verified
- Documented
The study was conducted during a period when the Delta variant was predominant in Lombardy.
“focusing on patients admitted during Fall 2021, when the Delta variant was predominant.”⚠ not machine-verified
- Asserted, not shown
Two prior multicenter studies (Spain and Switzerland) reported that fully vaccinated COVID-19 ICU patients had more comorbidities, greater immunosuppressive drug exposure, shorter ICU length of stay, but similar ICU mortality compared with unvaccinated patients.
These findings are cited from references 15 and 16 without reproducing the underlying data in this document.
- Inferred
Vaccinated patients admitted to an ICU were less severely ill on admission (higher PaO2/FiO2) than unvaccinated patients, suggesting vaccination may have moderated the severity of illness among those who still required ICU admission.
Inference: A higher PaO2/FiO2 ratio indicates less severe hypoxemia; the document records this difference but does not itself state that vaccination caused a lesser degree of illness—only that the groups differed on this measure at admission.
- Inferred
The much lower IRR for mRNA vaccines within 120 days compared with adenoviral vector vaccines after 120 days likely reflects both vaccine platform differences and waning immunity over time, but the study design conflates these two variables.
Inference: The document presents these as distinct subgroups defined by both vaccine type and time since last dose simultaneously, making it impossible from the reported results alone to separate the effect of platform from the effect of time elapsed.
- Documented
As of February 1, 2022, 89% of Lombardy's population aged 12 years or older had been fully vaccinated.
“As of February 1, 2022, 89% of Lombardy's population aged 12 years or older has been fully vaccinated, mainly with mRNA vaccines.”⚠ not machine-verified
- Documented
The study adjusted IRR estimates for age and sex, and adjusted mortality analyses for possible confounders including age, heart disease, and PaO2/FiO2 at ICU admission.
“incidence IRR of ICU admission was evaluated, comparing vaccinated people with unvaccinated, adjusted for age and sex.”⚠ not machine-verified
- Asserted, not shown
The full methods section of the study is not reproduced in the available document text, limiting verification of analytical procedures.
The Methods section is cut off mid-sentence ('The Lombardy Regional Heal...'), so the complete methodological details, including statistical models and data source descriptions, are not visible in this document excerpt.
- Oct 13, 2022
@CoryRove: @Scary7Dr @DonnaGay8989 @andrew7rd @Unity_Coach @BlaylockMooky @mpc_xe
news article · secondary · @CoryRove (Twitter user)
A tweet by @CoryRove asserting claims about Moderna's patents on a viral sequence and a vaccine, linking to a CBS News article as a cited source.
- Asserted, not shown
The tweet asserts that Moderna owns a patent on part of the virus not seen in other viruses.
This factual claim is stated by the tweet author but is not demonstrated within the tweet itself; the linked CBS News article is a secondary source not reproduced in this document.
- Asserted, not shown
The tweet asserts that Moderna is 'now patenting the cure.'
This claim is stated without supporting documentation or elaboration within the tweet itself.
- Documented
The tweet includes a link to a CBS News article about a Moderna COVID vaccine patent dispute involving the National Institutes of Health.
“https://www.cbsnews.com/news/moderna-covid-vaccine-patent-dispute-national-institutes-health/”✓ verified verbatim
- Inferred
The tweet was posted as a reply directed at a large number of Twitter accounts.
Inference: The tweet begins with numerous @-mentions, which on Twitter conventionally indicates the message is a reply or addressed to those users, though the document does not explicitly label it as such.
- Inferred
The phrase 'Nothing to see here' is used rhetorically to imply the claims are significant or suspicious.
Inference: The phrase is a well-known sarcastic idiom implying the opposite of its literal meaning; however, interpreting rhetorical intent goes beyond the document's literal text.
- Oct 4, 2022
@CoryRove: @Truth_in_Number Wrong. This surge was after a large percent were vacc
news article · secondary · @CoryRove (Twitter/X user)
This document is a single tweet by @CoryRove replying to @Truth_in_Number, asserting a counterclaim about a surge and vaccination rates, and linking to an external tweet as a source.
- Documented
The tweet is a reply directed at the account @Truth_in_Number.
“[In reply to @Truth_in_Number]”✓ verified verbatim
- Asserted, not shown
The author claims the surge occurred after a large percentage of the population was vaccinated.
The tweet asserts 'this surge was after a large percent were vaccinated' but provides no data, chart, or exhibit within the tweet itself to demonstrate this.
- Asserted, not shown
The author claims the surge is not solely from COVID.
The tweet states 'the surge in not only from covid' but provides no supporting evidence within the text itself; the linked external tweet is not reproduced here.
- Documented
The author links to an external tweet by @EthicalSkeptic as a supporting source.
“https://x.com/EthicalSkeptic/status/1575478586538180608”✓ verified verbatim
- Inferred
The content of the linked @EthicalSkeptic tweet is not part of this document and cannot be evaluated here.
Inference: The document only contains a URL; the linked content is external and not reproduced in the text provided, so no claims derived from it can be assessed as established on the face of this document.
- Oct 1, 2022
@CoryRove: @umfpt @Michael94173566 @BlaylockMooky @DonnaGay8989 @Scary7Dr @andrew
news article · secondary · @CoryRove (Twitter user)
A tweet by user @CoryRove, posted in reply to @umfpt, claiming to use a math degree to calculate probability and risk differences between COVID and a vaccine, with an attached image and external link.
- Documented
The tweet author claims to hold a math degree.
“With my math degree is can calculate the probability something would increase that much in a single year with basic assumptions.”✓ verified verbatim
- Documented
The tweet author claims to be able to calculate the risk difference between COVID and 'the vax.'
“I can use it to calculate the risk difference between covid and the vax.”✓ verified verbatim
- Documented
The tweet author characterizes the subject matter as functioning 'as an early warning system.'
“As an early warning system.”✓ verified verbatim
- Asserted, not shown
The tweet includes an attached image (filename Fd9z4azWAAA192G.jpg) whose content is not described in the text.
The image is referenced as attached media but its contents are not reproduced in the document text; no findings about its content can be made.
- Asserted, not shown
The tweet includes an external hyperlink (https://t.co/HP4rh9iwEo) whose destination content is not provided.
The link is present but the destination page content is not included; no findings about that content can be made.
- Asserted, not shown
The author's claimed calculations or mathematical methodology support their stated conclusions.
The tweet asserts the author can perform these calculations but provides no methodology, data, or results within the tweet text itself.
- Inferred
The tweet is part of a larger multi-user conversation thread.
Inference: The presence of approximately 40 tagged usernames and the 'In reply to @umfpt' indicator suggest this is one post within an extended multi-participant thread, not a standalone statement.
- Sep 28, 2022
@CoryRove: The powers that be never cared about your free will... they were plann
news article · secondary · @CoryRove (Twitter/X user)
This document is a single tweet by @CoryRove containing an opinion statement and a link to another tweet by @TheRealKeean, with no substantive content beyond the assertion itself.
- Documented
The tweet asserts that unspecified authorities never cared about free will and planned to administer vaccines regardless of consent.
“The powers that be never cared about your free will... they were planning on giving you the vaccine regardless.”✓ verified verbatim
- Documented
The tweet references an external tweet by @TheRealKeean as apparent supporting evidence for its claim.
“https://x.com/TheRealKeean/status/1574902216728911873”✓ verified verbatim
- Asserted, not shown
The claims in the tweet are supported by the linked external source.
The content of the linked tweet by @TheRealKeean is not included in this document; no evidence is presented within this tweet itself to substantiate the assertions made.
- Sep 24, 2022
@CoryRove: @Scary7Dr @andrew7rd @umfpt @Michael94173566 @MattMcInnis6 @mpc_xetts
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove, posted in reply to @Scary7Dr, claiming to have previously calculated something now covered by mainstream news, and questioning the meaning of unspecified data in the context of comparing vaccination and COVID risks in children, with a link to a tweet by @SharylAttkisson.
- Documented
The author claims to have performed a calculation years prior to mainstream news coverage of the same topic.
“I did the calculation years ago and now main stream news is catching up.”✓ verified verbatim
- Documented
The author accuses one or more of the addressed parties of refusing to accept data.
“You refuse to accept data.”✓ verified verbatim
- Documented
The author states the discussion concerned comparing the risk of vaccination versus COVID in children.
“We were comparing the risk of vax and covid in kids.”✓ verified verbatim
- Documented
The author links to a tweet by @SharylAttkisson as a cited source.
“https://x.com/SharylAttkisson/status/1573504041509953558”✓ verified verbatim
- Inferred
The author implies that the data referenced does not support the opposing party's position.
Inference: The rhetorical question 'This data is supposed to tell me what?' suggests the author believes the data does not demonstrate what the opposing party claims, but the document does not explicitly state this conclusion.
- Asserted, not shown
The author performed a calculation years ago that is now corroborated by mainstream news.
No calculation, methodology, or mainstream news source is included or described in the tweet itself; only the bare claim is made.
- Asserted, not shown
The linked @SharylAttkisson tweet contains relevant data about vaccine and COVID risk in children.
The content of the linked tweet is not reproduced in this document; its relevance and content cannot be assessed from this text alone.
- Sep 23, 2022
@CoryRove: @Scary7Dr @Michael94173566 @aka_c00lest @mpc_xetts @umfpt @andrew7rd @
news article · secondary · Twitter / @CoryRove
A tweet by @CoryRove responding to @Scary7Dr and numerous other accounts, asserting a claim about vaccine risk in children relative to COVID and linking to a TED Talk.
- Documented
The tweet was posted by @CoryRove on September 23, 2022.
“Tweet by @CoryRove — Fri Sep 23 12:26:08 +0000 2022”✓ verified verbatim
- Documented
The tweet is a reply directed at @Scary7Dr and approximately 48 other tagged accounts.
“[In reply to @Scary7Dr]”✓ verified verbatim
- Documented
The author accuses the person they are replying to of projecting an emotional state onto them.
“Mad? Projection. Let me know when your ready to admit the vaccine is riskier for kids than covid.”✓ verified verbatim
- Documented
The author links to a TED Talk by Kathryn Schulz titled 'On Being Wrong' as a source or reference.
“https://www.ted.com/talks/kathryn_schulz_on_being_wrong”✓ verified verbatim
- Asserted, not shown
The author claims the vaccine is riskier for children than COVID.
The tweet asserts this claim but provides no data, study, or supporting evidence within the document itself. The linked TED Talk is about the psychology of being wrong, not vaccine risk data.
- Inferred
The author may be characterizing a prior exchange in which @Scary7Dr or others accused the author of being emotionally reactive or incorrect.
Inference: The phrases 'Mad? Projection' and 'instead of guessing my emotional state' suggest the author is responding to a characterization made in a prior message, but that prior message is not included in this document.
- Sep 19, 2022
@CoryRove: @mpc_xetts @umfpt @Michael94173566 @aka_c00lest @Scary7Dr @andrew7rd @
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove asserting that vaccines are riskier than COVID for certain age groups and linking to a Substack article as counter-evidence to a YouTube video cited by another user.
- Documented
The tweet asserts that the vaccine is riskier than COVID for certain age groups.
“Vaccine is riskier than covid for certain age groups.”✓ verified verbatim
- Documented
The tweet characterizes the YouTube video referenced by @mpc_xetts as providing little basis for evaluating the underlying work.
“Your YouTube video provided very little in way of checking her work.”✓ verified verbatim
- Documented
The tweet cites a Substack article by Elliott Middleton as presenting the 'same data' but reaching a different conclusion.
“Here is Same data that came to a different conclusion. https://elliottmiddleton.substack.com/p/vaccinated-vs-unvaccinated-deaths”✓ verified verbatim
- Inferred
The tweet is a reply directed at @mpc_xetts and is addressed to a large number of other Twitter accounts.
Inference: The 'In reply to @mpc_xetts' label and the long list of @-mentions in the tweet text indicate this is a reply within a larger conversation thread involving many participants.
- Asserted, not shown
The Substack article linked actually uses the same underlying data as the YouTube video and reaches a different conclusion.
The tweet claims this but the linked Substack article is not reproduced here; the document provides no means to verify the data, methodology, or conclusions of either source.
- Asserted, not shown
The vaccine is riskier than COVID for certain age groups.
This is a claim made by the tweet author without any supporting data, methodology, or evidence presented within the tweet itself.
- Sep 19, 2022
@CoryRove: @mpc_xetts @umfpt @Michael94173566 @aka_c00lest @Scary7Dr @andrew7rd @
news article · secondary · @CoryRove (Twitter/X user)
This document is a tweet by user @CoryRove replying to multiple users, referencing an external American Heart Association journal article URL in the context of a debate about vaccines.
- Documented
The tweet includes a link to an American Heart Association journal article as a cited source.
“https://www.ahajournals.org/doi/10.1161/CIRCULATIONAHA.122.059970”✓ verified verbatim
- Documented
The tweet author characterizes the addressee as not believing vaccine monitoring databases and not reading studies they disagree with.
“You already don't believe the multiple databases setup to monitor vaccines. You don't read studies you disagree with and don't understand why meta studies are better”⚠ not machine-verified
- Documented
The tweet is a reply directed at @mpc_xetts, with numerous other users tagged.
“@mpc_xetts @umfpt @Michael94173566 @aka_c00lest @Scary7Dr @andrew7rd @Unity_Coach @frugalsues @ZenTigerNZ @BlaylockMooky”✓ verified verbatim
- Inferred
The linked AHA journal article supports the tweet author's position in the debate.
Inference: The author presents the URL with 'but here you go,' implying it is offered as evidence for their argument; however, the content, findings, or conclusions of the linked article are not reproduced in this document.
- Asserted, not shown
Multiple vaccine monitoring databases exist and are reliable.
The tweet author asserts this ('multiple databases setup to monitor vaccines') but provides no data, citations, or documentation of these databases within the tweet itself.
- Asserted, not shown
Meta-studies are superior to other study types.
The tweet author claims the addressee 'don't understand why meta studies are better' but provides no explanation or evidence within the tweet for this claim.
- Sep 4, 2022
@CoryRove: @andrew7rd @F3_Haskell @Wolf_ofthe_West @frugalsues @aka_c00lest @mpc_
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove, posted in a multi-user reply chain, questioning conflicts of interest related to vaccines and asking who profits from patients, with an attached image and an external link.
- Documented
The tweet was posted on September 4, 2022 at 00:39:23 UTC by the account @CoryRove.
“Tweet by @CoryRove — Sun Sep 04 00:39:23 +0000 2022”✓ verified verbatim
- Documented
The tweet is posted as a reply to @andrew7rd.
“[In reply to @andrew7rd]”✓ verified verbatim
- Documented
The tweet includes a call for corrections regarding alleged conflicts of interest with vaccines and poses a question about financial interests in patients.
“Waiting for all the corrections for conflicts of interest with the vaccine. Who owns the patients and makes money from them?”✓ verified verbatim
- Documented
The tweet contains an attached image identified by filename FbxYwxJXgAEO31A.jpg.
“[Attached media (1): FbxYwxJXgAEO31A.jpg]”✓ verified verbatim
- Asserted, not shown
The tweet includes an external link (https://t.co/Ya6rvhLx9Q) whose destination content is not present in this document.
The shortened URL is referenced but the linked content is not reproduced here; its substance cannot be assessed from this document alone.
- Inferred
The tweet is addressed to approximately 49 other Twitter accounts listed by handle.
Inference: Counting the @-mentions in the tweet text yields approximately 49 distinct handles, indicating a broad multi-user reply chain, though the exact count requires manual tallying not confirmed in the document itself.
- Asserted, not shown
The attached image may contain additional content relevant to the tweet's claims.
The image file is referenced by name only; its visual content is not transcribed or described in the document text provided.
- Aug 6, 2022
@CoryRove: @mpc_xetts @Tdillon06 @Unity_Coach @ZenTigerNZ @andrew7rd @Wolf_ofthe_
news article · secondary · @CoryRove on Twitter
A tweet by @CoryRove, posted in August 2022, suggests a causal claim and links to a 2020 Guardian article about vaccine-derived polio spreading in Africa.
- Documented
The tweet asserts that something ('it') may be caused by 'the vaccinated,' implying a causal link to vaccinated individuals.
“Or it's caused from the vaccinated.”⚠ not machine-verified
- Documented
The tweet links to a Guardian article dated September 2, 2020, concerning vaccine-derived polio spreading in Africa.
“https://www.theguardian.com/global-development/2020/sep/02/vaccine-derived-polio-spreads-in-africa-after-defeat-of-wild-virus”✓ verified verbatim
- Documented
The tweet is a reply directed at @mpc_xetts and was sent in the context of a multi-participant conversation.
“In reply to @mpc_xetts”✓ verified verbatim
- Inferred
The subject matter of 'it' being discussed in the conversation is not specified within this tweet alone.
Inference: The tweet uses the pronoun 'it' without a referent visible in this document; the referent would only be known from the prior conversation thread, which is not included here.
- Asserted, not shown
The linked Guardian article supports the causal claim made by the tweeter.
The Guardian article is not reproduced in this document; only its URL is cited. Whether the article's content supports the specific claim made in the tweet cannot be determined from this document alone.
- Aug 3, 2022
310
other · primary · Scherer et al., published in JAMA Network Open; survey commissioned by CDC COVID-19 Response to the Healthcare and Public Perceptions of Immunizations (HaPPI) Survey Collaborative
This is a peer-reviewed cross-sectional study reporting results of a February 2022 online survey assessing US parents' COVID-19 vaccination intentions, concerns, and facilitators for children aged 6 months through 4 years.
- Documented
The survey was fielded from February 2 to 10, 2022, using a nonprobability sample recruited through Qualtrics.
“We administered an internet-based survey from February 2 to 10, 2022, to a national, nonprobability sample of US parents of children ages 6 months through 4 years recruited through Qualtrics.”⚠ not machine-verified
- Documented
The final weighted sample consisted of 2031 participants with a 73.5% participation rate.
“The final weighted sample of 2031 participants (73.5% participation rate) had more respondents who identified as male (985; weighted percentage, 54.8%) or White (696; weighted percentage, 66.2%)”⚠ not machine-verified
- Documented
Approximately half of respondents indicated they definitely or probably would vaccinate their child aged 6 months through 4 years once eligible.
“Half of respondents (645; weighted percentage, 45.6%) indicated that they "definitely" or "probably" will vaccinate their child aged 6 months through 4 years once they became eligible.”⚠ not machine-verified
- Documented
Only about one-fifth of respondents intended to vaccinate their child within 3 months of eligibility.
“only one-fifth (396; weighted percentage, 19.0%) indicated they would get a COVID-19 vaccine for their child in this age group within 3 months of them becoming eligible for vaccination.”⚠ not machine-verified
- Documented
Vaccine safety and efficacy were the top parental concerns, and receiving more information about safety and efficacy were the top facilitators to vaccination.
“Vaccine safety and efficacy were parents' top concerns, and receiving more information about safety and efficacy were the top facilitators to COVID-19 vaccination for this age group.”⚠ not machine-verified
- Documented
A doctor's office or clinic and a local pharmacy were the most trusted COVID-19 vaccination locations for this age group.
“A doctor's office or clinic and local pharmacy were the most trusted COVID-19 vaccination locations for this age group.”⚠ not machine-verified
- Documented
The FDA extended Emergency Use Authorizations for Pfizer-BioNTech and Moderna COVID-19 vaccines to children aged 6 months through 4 years on June 17, 2022.
“On June 17, 2022, the US Food and Drug Administration (FDA) extended the Emergency Use Authorizations for the BNT162b2 (Pfizer-BioNTech) and mRNA-1273 (Moderna) COVID-19 vaccines to children aged 6 months through 4 years.”⚠ not machine-verified
- Documented
The survey was commissioned by the CDC to inform ACIP deliberations originally scheduled for February 23–24, 2022, which were delayed until June 17–18, 2022.
“to help inform the Advisory Committee on Immunization Practices' (ACIP) deliberations and recommendations for COVID-19 vaccination for this age group, originally scheduled to occur at their meeting on February 23 to 24, 2022, which was delayed until their meeting on June 17 to 18, 2022.”⚠ not machine-verified
- Documented
Sampling quotas were applied for child age group, respondent gender, and the three largest racial and ethnic groups, but the sample remained nonprobability-based.
“Sampling quotas were used to reduce potential sampling bias. The quotas included child age group (6-23 months and 2-4 years; 1:1 ratio), respondent gender (female and male; 1:1 ratio)”⚠ not machine-verified
- Asserted, not shown
COVID-19 hospitalization rates among children younger than 5 years were approximately five times higher during the Omicron peak than during the Delta peak.
This statistic is cited with a reference (reference 1) but the underlying data or source document is not included in this document; it is a cited claim, not demonstrated within the text.
- Inferred
The survey data, having been collected in February 2022, may not reflect parental intentions after the June 2022 EUA extension when vaccination actually became available for this age group.
Inference: The survey was fielded February 2–10, 2022, before the June 17, 2022 EUA authorization; parental intentions measured prior to eligibility and new safety/efficacy data may differ from those formed after authorization, though the document does not directly state this limitation in the excerpt provided.
- Documented
Inclusion criteria required respondents to identify as Black, Hispanic, or White, excluding parents of other racial/ethnic identities.
“Inclusion criteria included (1) currently living in the United States; (2) having regular responsibility for a child aged 6 months through 4 years living at home with the respondent; (3) identifying as Black, Hispanic, or White”⚠ not machine-verified
- Documented
The study was reviewed and approved by the University of Iowa institutional review board and the CDC.
“This activity was reviewed and approved by the University of Iowa institutional review board and the CDC and was conducted in a way consistent with applicable federal law and CDC policy.”⚠ not machine-verified
- Inferred
The weighted sample skewed male (54.8%) and White (66.2%), and toward metropolitan areas (82.9%) and the South (43.4%), despite quota-based sampling.
Inference: The reported weighted percentages for gender, race, and geography, combined with the stated quota design targeting balance, indicate the weighting did not produce a nationally representative distribution on all demographic dimensions, though the document does not explicitly characterize this as a limitation in the excerpt provided.
- Asserted, not shown
The authors conclude that considerable efforts to increase parental COVID-19 vaccine confidence for children aged 6 months through 4 years may be needed.
This is a normative conclusion drawn by the authors from their survey findings; the document does not itself demonstrate what level of effort would be sufficient or what interventions would be effective.
- Aug 2, 2022
@CoryRove: @andrew7rd @Wolf_ofthe_West @F3_Haskell @BlaylockMooky @ADevotedYogi @
news article · secondary · @CoryRove (Twitter user)
A 2022 tweet by user @CoryRove posing rhetorical questions linking vaccine and booster timelines to what the author characterizes as anomalous summer peaks, with an attached image and an external link.
- Documented
The tweet poses rhetorical questions about vaccine rollout timing, trial timing, booster timing, and summer peaks.
“Ask yourself when the vaccines came out. When was the trial and when were the boosters. Is a peak in the middle of summer normal? Why did this happen twice?”✓ verified verbatim
- Documented
The tweet was directed at a large number of other Twitter accounts (approximately 40 handles listed).
“@andrew7rd @Wolf_ofthe_West @F3_Haskell @BlaylockMooky @ADevotedYogi @Unity_Coach @landofevolution @umfpt @arduatendit @GeezercitizenX”✓ verified verbatim
- Inferred
The tweet includes an attached image and an external link, which may contain supporting data or visuals referenced by the rhetorical questions.
Inference: The presence of '[Attached media (1): FZLuek9XkAEWQcz.jpg]' and 'https://t.co/WNxQ8QXmZS' suggests the author intended these as evidence or context for the claims, but the content of neither is reproduced in the document text.
- Asserted, not shown
The tweet implies a causal or correlational relationship between vaccine/booster administration and anomalous summer peaks in some unspecified metric.
No data, chart, or citation is reproduced in the document text itself; the attached image and link are not accessible from the provided text, so no evidentiary basis is visible.
- Jul 9, 2022
@CoryRove: @umfpt @Scary7Dr @andrew7rd @BlaylockMooky @mario19795947 @d_electropo
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove, posted in reply to @umfpt, asserting a claim about vaccine efficacy and deaths, with an attached image and an external link.
- Documented
The tweet contains the claim that vaccine efficacy goes negative and that there were more deaths after the vaccine.
“efficacy goes negative and there were more deaths after the vaccine.”✓ verified verbatim
- Documented
The tweet includes an attached image (FXQBQaJUYAEAiRS.jpg) and an external hyperlink (https://t.co/tCSB04nasp).
“https://t.co/tCSB04nasp”✓ verified verbatim
- Documented
The tweet is a reply directed at @umfpt and mass-mentions numerous other accounts.
“@umfpt @Scary7Dr @andrew7rd @BlaylockMooky @mario19795947 @d_electropolis @Unity_Coach @Quoimio”✓ verified verbatim
- Asserted, not shown
The claim that efficacy goes negative and that there were more deaths after the vaccine is supported by evidence.
The tweet asserts this claim but the underlying data or sourcing is not reproduced in the tweet text itself; the image and linked URL are not accessible within this document text and cannot be evaluated.
- Inferred
The external link and attached image may contain the evidence or source material the author is relying upon.
Inference: The tweet ends with a claim followed immediately by a URL and an attached image, which is a common Twitter pattern for citing supporting material; however, neither the link destination nor the image content is available in this document.
- Jul 6, 2022
@CoryRove: Now do #ivermectin the other protease inhibitor… oh you won’t because
news article · secondary · @CoryRove (Twitter/X user)
A tweet by user @CoryRove responding to a PfizerMed tweet, asserting that ivermectin is a protease inhibitor and implying financial motives prevent its promotion.
- Documented
The tweet characterizes ivermectin as 'the other protease inhibitor'
“Now do #ivermectin the other protease inhibitor…”✓ verified verbatim
- Documented
The tweet implies that financial motivations ('$$$') explain why a particular action regarding ivermectin will not be taken
“oh you won't because of $$$.”⚠ not machine-verified
- Inferred
The tweet is a reply or reaction to a tweet posted by the official PfizerMed account
Inference: The tweet includes a URL pointing to a PfizerMed tweet, suggesting it was composed in response to that content, though the document does not reproduce the referenced tweet's text.
- Asserted, not shown
Ivermectin functions as a protease inhibitor
The tweet asserts this characterization but provides no data, citation, or evidence within the document to support it.
- Asserted, not shown
Financial incentives are the actual reason the referenced party will not promote or study ivermectin
The tweet claims this ('because of $$$') but provides no evidence, documentation, or sourcing to substantiate the claim.
- Jul 5, 2022
@CoryRove: @umfpt @JCDeardeuff @SteHowarth3 @andrew7rd @BlaylockMooky @LauriHWill
news article · secondary · @CoryRove (Twitter user)
A tweet by @CoryRove posing a rhetorical question about Pfizer lawyers and linking to a Reuters article about Pfizer seeking to intervene in a lawsuit related to COVID vaccine information and the FDA.
- Documented
The tweet poses the question 'Why did the Pfizer lawyers try to intervene?'
“Why did the Pfizer lawyers try to intervene?”✓ verified verbatim
- Documented
The tweet links to a Reuters article dated January 26, 2022, concerning Pfizer pushing to intervene in a lawsuit seeking COVID vaccine information from the FDA.
“https://www.reuters.com/legal/government/pfizer-pushes-intervene-lawsuit-seeking-covid-vaccine-information-fda-2022-01-26/”✓ verified verbatim
- Documented
The tweet is a reply directed at @umfpt and tags numerous other Twitter accounts.
“@umfpt @JCDeardeuff @SteHowarth3 @andrew7rd @BlaylockMooky @LauriHWilliams”✓ verified verbatim
- Inferred
The tweet implies Pfizer's intervention attempt is suspicious or requires explanation.
Inference: The rhetorical framing of the question ('Why did the Pfizer lawyers try to intervene?') suggests the author views the intervention as noteworthy or questionable, but the document does not state this explicitly.
- Asserted, not shown
The content of the linked Reuters article, including what it reports about Pfizer's legal actions or motivations, is asserted by the link but not reproduced in this document.
The tweet references an external article but does not include its text; findings from that article cannot be attributed to this document.
- May 15, 2022
@CoryRove: @AspAlaAsnAsnTyr @andylumm Classic projection. You never even read my
news article · secondary · @CoryRove (Twitter user)
A tweet in which user @CoryRove responds to other Twitter users by posing a question about mRNA and cell nuclei and linking to an external article.
- Documented
The tweet author claims the discussion is about mRNA molecules in the nucleus.
“This is in reference to mRNA molecules in the nucleus.”✓ verified verbatim
- Documented
The tweet author poses a question about how RNA outside a cell enters the nucleus.
“The question still stands about how rna outside the cell gets inside the nucleus.”✓ verified verbatim
- Documented
The tweet author links to an article on The Wire Science concerning a study claiming SARS-CoV-2 RNA fuses into human DNA.
“https://science.thewire.in/the-sciences/why-the-study-claiming-sars-cov-2s-rna-is-fused-into-human-dna-is-flawed/”✓ verified verbatim
- Documented
The tweet author accuses the other party of not having read the original question.
“Classic projection. You never even read my first question.”✓ verified verbatim
- Inferred
The tweet is part of an ongoing multi-party conversation, not an isolated statement.
Inference: The use of '@' mentions directed at two other users and references to prior exchanges ('my first question') indicate this is a reply within a thread, though the prior messages are not included in the document.
- Asserted, not shown
The linked external article substantiates or is relevant to the author's scientific argument.
The content of the linked article is not reproduced in this document; only its URL is present, so its contents and relevance cannot be evaluated from this text alone.
- May 4, 2022
@CoryRove: @TakeThatChem This is new data 🤡... "Using Negative Binomial regressio
news article · secondary · @CoryRove on Twitter
A tweet by @CoryRove quoting a passage from a Nature-published study (linked via URL) and sharing it in reply to another user.
- Documented
The tweet contains a quoted passage attributing a statistical finding to Negative Binomial regression models regarding vaccine doses and emergency call counts.
“Using Negative Binomial regression models, the weekly emergency call counts were significantly associated with the rates of 1st and 2nd vaccine doses administered to this age group but were not with COVID-19 infection rates”✓ verified verbatim
- Inferred
The quoted passage is attributed by the tweeter to the linked Nature article (s41598-022-10928-z).
Inference: The URL immediately follows the quoted text, implying it is the source, but the tweet does not explicitly state 'this quote comes from this article'; the connection is implied by proximity.
- Asserted, not shown
The quoted statistical finding accurately represents the content of the linked Nature study.
The underlying study is not reproduced in this document; only a URL and a partial quote are provided. Accuracy, context, and completeness of the quotation cannot be verified from this tweet alone.
- Documented
The tweeter characterizes the linked content as 'new data'.
“This is new data 🤡”✓ verified verbatim
- May 4, 2022
@CoryRove: @TakeThatChem The only one pulling off a grift is you by lumping criti
other · secondary · @CoryRove
A tweet by @CoryRove replying to @TakeThatChem, accusing that account of mischaracterizing vaccine skepticism as broad anti-vaccine sentiment.
- Documented
@CoryRove accuses @TakeThatChem of perpetrating a 'grift' by associating critical thought about a new vaccine with a broad anti-vax agenda.
“The only one pulling off a grift is you by lumping critical thought on this new vaccine in with a broad anti vax agenda.”✓ verified verbatim
- Documented
The tweet is a reply directed at @TakeThatChem.
“@TakeThatChem The only one pulling off a grift is you”✓ verified verbatim
- Documented
The tweet references an external linked tweet by @stevienut as supporting context.
“https://x.com/stevienut/status/1521553172665413635”✓ verified verbatim
- Inferred
@TakeThatChem had previously accused @CoryRove (or someone) of engaging in a grift.
Inference: The phrase 'The only one pulling off a grift is you' implies a prior accusation of grift was directed at @CoryRove or an associated party, to which this tweet is responding.
- Asserted, not shown
The linked @stevienut tweet provides evidence or argument supporting @CoryRove's position.
The content of the linked tweet is not included in this document and cannot be evaluated here.
- May 4, 2022
@CoryRove: @TakeThatChem Pulling off the double grift. Wow. Is this sarcasm? Pfiz
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove replying to @TakeThatChem, alleging the other party is spreading misinformation and referencing a Pfizer document release and a linked tweet from @disclosetv.
- Asserted, not shown
The author claims Pfizer released an additional 80,000 pages of documents.
The tweet asserts this as fact but provides no document, link, or exhibit directly evidencing the release; the linked URL points to a third-party tweet, not a primary source.
- Documented
The author characterizes @TakeThatChem's prior tweet claiming scientists did not know something as incorrect.
“your tweet that the scientists didn't know is wrong”⚠ not machine-verified
- Documented
The author characterizes @TakeThatChem's prior tweet about not hiding information as incorrect.
“the tweet about not hiding info WRONG”✓ verified verbatim
- Documented
The author labels @TakeThatChem and/or associated parties as 'grifters.'
“Grifters gonna grift. #FollowTheScience”✓ verified verbatim
- Documented
The tweet is a reply to @TakeThatChem.
“In reply to @TakeThatChem”✓ verified verbatim
- Documented
The author links to a @disclosetv tweet as supporting evidence for their claims.
“https://x.com/disclosetv/status/1521587918271393794”✓ verified verbatim
- Inferred
The content of @TakeThatChem's original tweet(s) being rebutted is not reproduced in this document.
Inference: The tweet references specific claims made by @TakeThatChem but does not quote or include them; their content must be inferred from context or sourced externally.
- Apr 6, 2022
@CoryRove: @Hicksyfern @Rex60242703 @LauriHWilliams @KevinWyoming2 @arduatendit @
other · secondary · @CoryRove (Twitter/X user)
This document is a single tweet by @CoryRove, posted as a reply in a multi-user Twitter conversation, containing a brief partial statement and a link to an external URL, with one attached image.
- Documented
The tweet is a reply directed at @Hicksyfern and tags multiple other accounts.
“@Hicksyfern @Rex60242703 @LauriHWilliams @KevinWyoming2 @arduatendit @VitaApro”✓ verified verbatim
- Documented
The tweet references a claim that something is 'changeable' and applies 'for this vaccine multiple times,' but the subject of that claim is not identified within the tweet text itself.
“they say it's changeable and for this vaccine multiple times.”⚠ not machine-verified
- Documented
The tweet includes a linked URL (https://t.co/cyF0Ai65A5) and an attached image, which are not reproduced in the document text.
“https://t.co/cyF0Ai65A5”✓ verified verbatim
- Inferred
The phrase 'they say' suggests the author is attributing the claim to an unnamed third party rather than asserting it personally.
Inference: The use of 'they say' grammatically attributes the claim to unspecified others, implying the author is relaying rather than originating the assertion.
- Asserted, not shown
The content of the attached image (FPq8P17WQAQ-61w.jpg) supports or elaborates on the tweet's claim.
The image filename is referenced but the image content is not reproduced or described in the document text, so its content cannot be assessed.
- Asserted, not shown
The linked URL contains information relevant to the claim about changeability and the vaccine.
The URL is present but its destination content is not included in this document and cannot be evaluated.
- Mar 28, 2022
@CoryRove: @umfpt @mickyguy2 @LauriHWilliams @OXHarryH1 @TakeThatChem @Unity_Coac
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove asserting that mRNA vaccine technology is novel and potentially harmful, posted in reply to @umfpt in a multi-user thread, with a link to a Substack article by Steve Kirsch.
- Documented
The tweet characterizes mRNA technology as new and different from prior vaccine technologies.
“It's new mRNA technology which is very different”✓ verified verbatim
- Documented
The tweet accuses the person being replied to of refusing to consider a scientific view that vaccines could be harmful.
“you refuse to see this from a scientific view cause no vaccine could be harmful in your eyes”✓ verified verbatim
- Documented
The tweet cites a Substack article by Steve Kirsch titled '20 questions they don't want to answer' as a supporting source.
“https://stevekirsch.substack.com/p/20-questions-they-dont-want-to-answer”✓ verified verbatim
- Inferred
The tweet is part of a multi-participant conversation involving more than 25 tagged accounts.
Inference: The presence of more than 25 @-mentioned usernames in the tweet text indicates a large group reply thread, though the document does not explicitly describe the conversation structure.
- Asserted, not shown
The linked Substack article supports the claim that mRNA vaccines are harmful.
The document links to an external Substack article but does not reproduce its content; what that article establishes cannot be evaluated from this document alone.
- Asserted, not shown
The claim that mRNA vaccine technology is scientifically distinct from prior vaccines in a meaningful or dangerous way is asserted but not demonstrated.
No evidence, data, or citation within the tweet itself substantiates this claim; only an external link is provided.
- Mar 27, 2022
@CoryRove: @TakeThatChem @umfpt @Unity_Coach @aka_c00lest @OXHarryH1 @arduatendit
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove posing rhetorical questions about vaccine efficacy and referencing an attached image, sent as a reply in a multi-user thread.
- Documented
The tweet poses rhetorical questions about vaccine efficacy going negative over time.
“What's this say about vaccine efficacy over time? Can you see where efficacy goes negative? Do you know what a negative efficacy means?”⚠ not machine-verified
- Documented
The tweet includes an attached image, referenced by a URL and a media file identifier.
“https://t.co/C9CjULow7g [Attached media (1): FO3SPUuX0AkCrJ7.jpg]”✓ verified verbatim
- Documented
The tweet is a reply in a conversation involving numerous other Twitter accounts.
“[In reply to @TakeThatChem]”✓ verified verbatim
- Inferred
The image attached to the tweet contains data or a graphic related to vaccine efficacy over time.
Inference: The rhetorical questions reference something the reader can 'see,' implying the attached image contains a chart or data visualization; however, image content is not reproduced in the document text and cannot be verified from this text alone.
- Asserted, not shown
Vaccine efficacy becomes negative over time, as implied by the questions.
The tweet asks leading questions implying negative efficacy but provides no data, citation, or underlying evidence within the text itself; the attached image's content is not available in this document.
- Mar 27, 2022
@CoryRove: @Unity_Coach @OXHarryH1 @arduatendit @LauriHWilliams @TakeThatChem @fr
news article · secondary · @CoryRove (Twitter user)
A tweet by @CoryRove, replying to @Unity_Coach and many other users, questioning the methodology of vaccination studies and linking to an image.
- Documented
The tweet author requests a study where unvaccinated status is not assumed by default for non-self-reporters.
“Show me a study where the unvaccinated is not assumed in the population. When people self report vaccinated and then everyone else is assumed is bad data.”✓ verified verbatim
- Documented
The tweet includes an attached image linked via a t.co URL.
“https://t.co/OVmHmoYh3K”✓ verified verbatim
- Documented
The tweet is a reply directed at @Unity_Coach and at least 30 other tagged accounts.
“@Unity_Coach @OXHarryH1 @arduatendit @LauriHWilliams @TakeThatChem @frugalsues @scalefree @tinyasura”✓ verified verbatim
- Asserted, not shown
The attached image (FO3Ibm0WUAU_hkg.jpg) contains relevant supporting content for the claim being made.
The image is referenced but its contents are not reproduced in the document text; no description of the image is provided.
- Inferred
The tweet author believes that vaccination studies using self-reporting methodology produce unreliable data.
Inference: The author characterizes the described methodology as 'bad data,' implying a negative judgment about study reliability, but does not cite evidence or a study to support this characterization.
- Asserted, not shown
The linked URL leads to content that substantiates the author's methodological claim.
The URL is present but the destination content is not included in the document; no verification of the link's content is possible from this text alone.
- Feb 11, 2022
@CoryRove: @Rex60242703 No coincidence here. New mRNA HIV vaccine in final stages
other · secondary · @CoryRove (Twitter user)
A tweet in which a Twitter user makes a series of claims about an mRNA HIV vaccine, at-home HIV tests, a new HIV strain, and alleged Pfizer statements regarding COVID vaccine susceptibility to HIV.
- Asserted, not shown
The tweet author claims there is a new mRNA HIV vaccine in final stages of testing.
The tweet states this as fact but provides no source, citation, or linked evidence visible in the text.
- Asserted, not shown
The tweet author claims millions of at-home HIV tests have already been produced.
Stated without any supporting data, document, or citation in the text.
- Asserted, not shown
The tweet author claims celebrities and media are pushing people to get tested for HIV.
No examples, links, or evidence are provided within the text itself.
- Asserted, not shown
The tweet author claims a new more virulent strain of HIV has been found.
Asserted without citation or supporting documentation in the tweet text.
- Asserted, not shown
The tweet author claims Pfizer stated that its vaccine makes recipients more susceptible to catching HIV.
Attributed to Pfizer with no quote, document, or verifiable source provided in the tweet text.
- Documented
The tweet author characterizes the combination of these events as non-coincidental.
“No coincidence here. New mRNA HIV vaccine in final stages of testing. Millions of at home HIV tests already produced.”✓ verified verbatim
- Inferred
The tweet includes three attached images whose content cannot be assessed from the text alone.
Inference: The metadata references three image filenames as attached media, but their content is not described or transcribed in the document text, so their evidentiary value cannot be evaluated.
- Jan 30, 2022
@CoryRove: It’s like the more they try to blend in the more they stick out? Same
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove offering a personal observation and rhetorical commentary, linking to another tweet by @TxGuy2024.
- Documented
The tweet author posted rhetorical commentary suggesting certain individuals were attempting to blend in but standing out due to similar clothing and behavior.
“Same hats and masks, heads on the swivel, slowly dispersing… who does that?”✓ verified verbatim
- Documented
The tweet references and links to an external tweet by @TxGuy2024 as the apparent basis for the commentary.
“https://x.com/TxGuy2024/status/1487502244824104963”✓ verified verbatim
- Asserted, not shown
The individuals described were actually attempting to conceal their identity or affiliation.
The author implies concealment or suspicious intent but provides no evidence; the linked source is not reproduced in this document.
- Inferred
The tweet author drew an inference about group coordination or affiliation based on observed similarities in attire and movement.
Inference: The rhetorical question 'who does that?' combined with descriptions of matching clothing and synchronized dispersal implies the author is suggesting coordinated or organized behavior, but the document does not state this explicitly.
- Jan 25, 2022
@CoryRove: @ryanbeed @Alexandradal1 @WaitingForPerot @danielmalmer @Awithonelison
other · secondary · @CoryRove (Twitter/X user)
This document is a public tweet by the user @CoryRove making claims about mask effectiveness against airborne transmission, in reply to other users.
- Documented
The tweet author claims masks stop people from sneezing on others but implies this is of limited protective value.
“Masks stop people from sneezing on you.”✓ verified verbatim
- Documented
The tweet author claims that large droplets fall out of the air quickly and that smaller particles that remain airborne pass through masks.
“Large droplets drop out of the air quickly and the ones that stay and float get past the mask.”✓ verified verbatim
- Documented
The tweet author asserts that mask policy or guidance 'never changed.'
“Nope. It never changed.”✓ verified verbatim
- Documented
The tweet author links to a YouTube video as supporting evidence for their claims.
“https://youtu.be/JtHso9JtgSc”✓ verified verbatim
- Asserted, not shown
The claims about droplet physics and mask filtration are not demonstrated or evidenced within this document itself; they are only asserted with a link to an external video whose content is not reproduced here.
The YouTube link is cited but its content is not included in this document; no data, study, or evidence is reproduced within the tweet itself.
- Inferred
The tweet is part of a multi-user conversation thread.
Inference: Multiple usernames are tagged in the tweet header and it is marked 'In reply to @ryanbeed,' indicating an ongoing discussion, though the content of other participants' messages is not included.
- Jan 24, 2022
@CoryRove: @ryanbeed @Alexandradal1 @WaitingForPerot @danielmalmer @Awithonelison
other · secondary · @CoryRove (Twitter user)
This document is a public tweet in which a Twitter user poses rhetorical questions about the efficacy of cloth masks and references the film 'Outbreak,' addressed to multiple other Twitter users.
- Documented
The tweet poses rhetorical questions about the consistency of guidance on cloth masks working or not working against a virus.
“Explain how cloth masks worked and now don't work? Or better how they didn't work then worked and now don't work again.”⚠ not machine-verified
- Documented
The tweet references the movie 'Outbreak' as purported evidence that cloth masks do not work against viruses.
“From the movie outbreak… seems like they knew cloth masks didn't work against a virus.”⚠ not machine-verified
- Documented
The tweet asks what scientists who work with viruses wear, implying the answer supports the user's skepticism of cloth masks.
“What do scientists where who work with viruses?”✓ verified verbatim
- Documented
The tweet includes an attached image, referenced by a URL and a media filename.
“https://t.co/FvTXbeyi2J”✓ verified verbatim
- Inferred
The content of the attached image (FJ5uGESXsAUJd2R.jpg) is intended to support the author's claims about masks.
Inference: The image is appended immediately after the rhetorical question about scientists and viruses, suggesting it is offered as visual support; however, the image content is not described in the text.
- Asserted, not shown
Cloth masks do not work against viruses.
The tweet asserts this through rhetorical questions and a reference to a fictional film, but provides no scientific data, study, or primary-source evidence within the document itself.
- Asserted, not shown
The movie 'Outbreak' accurately depicts real-world scientific knowledge about mask efficacy.
The tweet implies the film reflects factual scientific consensus, but no evidence or citation is provided to establish this claim.
- Jan 24, 2022
@CoryRove: @ryanbeed @Alexandradal1 @WaitingForPerot @danielmalmer @Awithonelison
other · secondary · @CoryRove
A Twitter reply in which user @CoryRove makes a claim about Bayesian probability and its application to vaccine safety assessments.
- Documented
The author claims that Bayes' theorem does not involve prior probabilities unless the conditional ('given') is itself treated as a prior probability.
“Nothing about Bayes talks about prior probabilities unless you make the given a prior probability.”✓ verified verbatim
- Documented
The author asserts that prior vaccines being safe is relevant only if framed as a prior probability in a Bayesian calculation.
“What is the probability this vaccine is deadly given all vaccine prior to this are safe?”✓ verified verbatim
- Documented
The author claims that vaccines are independent of one another for purposes of probability calculation.
“If independent, which they are, then it's just the probability this one is deadly.”⚠ not machine-verified
- Asserted, not shown
The author's statistical claims about Bayes' theorem are correct or well-founded.
The tweet asserts statistical reasoning without providing derivations, citations, or supporting data; the attached image content is not reproduced in the document text.
- Inferred
The author's assertion that vaccines are statistically independent is a substantive empirical or methodological claim rather than a self-evident truth.
Inference: The document states independence as a parenthetical fact ('which they are') without providing evidence or reasoning; accepting it as established would require going beyond what the document itself demonstrates.
- Jan 24, 2022
@CoryRove: @ryanbeed @Alexandradal1 @WaitingForPerot @danielmalmer @Awithonelison
other · secondary · @CoryRove (Twitter user)
This document is a single Twitter reply in which user @CoryRove asserts that studies support ivermectin's efficacy and accuses another user of lying, while linking to an external website.
- Documented
The tweet author claims that studies they previously shared contradict the other user's position on hospitalizations.
“all those studies I showed you say the opposite about hospitalizations.”✓ verified verbatim
- Documented
The tweet author requests a definition of 'vaccinated' in the context of the discussion.
“This is why I want a definition for vaccinated here.”✓ verified verbatim
- Documented
The tweet author accuses the other user of lying.
“You are now lying.”✓ verified verbatim
- Documented
The tweet author asserts that ivermectin works, citing an external URL.
“Ivermectin works. http://C19ivermectin.com”✓ verified verbatim
- Asserted, not shown
The studies @CoryRove claims to have previously shared actually say what they are characterized as saying.
No studies are reproduced, quoted, or directly linked within this tweet; the referenced prior studies are not part of this document.
- Asserted, not shown
The external website linked (C19ivermectin.com) provides evidence supporting the claim that ivermectin works.
The content of the linked website is external to this document and cannot be evaluated from the tweet text alone.
- Inferred
This tweet is part of a multi-party conversation, suggesting a broader ongoing debate about vaccines and ivermectin.
Inference: The tweet is marked as a reply to @ryanbeed and tags multiple other users, indicating an ongoing thread rather than an isolated statement.
- Jan 24, 2022
@CoryRove: @ryanbeed @WaitingForPerot @danielmalmer @Alexandradal1 @Awithonelison
other · secondary · @CoryRove (Twitter user)
A tweet by @CoryRove replying to a multi-user Twitter thread, accusing another user of bias regarding vaccination and COVID preconditions, and linking to the Wikipedia article on Bayesian inference.
- Documented
The tweet accuses the recipient of being 'for the vax but not preconditions for covid' and characterizes this as bias.
“For the vax but not preconditions for covid. Again your bias defined.”✓ verified verbatim
- Documented
The tweet links to the Wikipedia article on Bayesian inference as a cited source.
“https://en.m.wikipedia.org/wiki/Bayesian_inference”✓ verified verbatim
- Inferred
The tweet is part of an ongoing multi-user conversation, not an isolated exchange.
Inference: The tweet is addressed to multiple usernames (@ryanbeed, @WaitingForPerot, @danielmalmer, @Alexandradal1, @Awithonelison, @Rex60242703) and is labeled 'In reply to @ryanbeed,' indicating a thread with multiple participants.
- Inferred
The Bayesian inference link is intended to support the claim of bias in the referenced user's reasoning.
Inference: The link is appended immediately after the bias accusation with no explanatory text, requiring an inferential step that the author intended it as evidence or illustration of their argument.
- Asserted, not shown
The author's claim that the other user exhibits bias by applying different standards to vaccines versus COVID preconditions is substantiated.
No prior posts, data, or evidence from the thread are included in this document; the claim rests solely on the author's assertion.
- Jan 24, 2022
@CoryRove: @ryanbeed @WaitingForPerot @danielmalmer @Alexandradal1 @Awithonelison
news article · secondary · @CoryRove (Twitter/X user)
A tweet in which a user asserts that CDC data on vaccine-related deaths is nuanced and links to a third-party article about an autopsy finding.
- Documented
The tweet author claims the CDC ignored certain deaths as being from the vaccine.
“It's easy to find examples the CDC ignored as deaths from the vax. It shouldn't be.”⚠ not machine-verified
- Documented
The tweet author characterizes the data as more nuanced than what the person being replied to apparently stated.
“You do know the data is way more nuanced than that.”✓ verified verbatim
- Documented
The tweet links to an external article on noqreport.com claiming an autopsy confirmed a 26-year-old's death from myocarditis was directly caused by the Pfizer COVID vaccine.
“https://noqreport.com/2022/01/12/autopsy-confirms-26-year-olds-death-from-myocarditis-directly-caused-by-pfizer-covid-vaccine/”✓ verified verbatim
- Asserted, not shown
The autopsy finding referenced in the linked article actually confirms the claimed causal relationship between the Pfizer vaccine and the death.
The primary autopsy record or the linked article's content is not reproduced in this document; only the URL is present. The underlying evidence cannot be assessed from this tweet alone.
- Inferred
The tweet is a reply directed at @ryanbeed and involves multiple other tagged users, suggesting an ongoing conversation.
Inference: The presence of multiple @-mentions and the 'In reply to @ryanbeed' metadata indicate this is one message within a multi-party thread, not a standalone statement.
- Asserted, not shown
The CDC ignored specific deaths attributable to the vaccine.
The tweet asserts this claim but provides no data, documentation, or exhibit within the tweet itself to demonstrate it.
- Jan 19, 2022
@CoryRove: @ryanbeed @Rex60242703 @Alexandradal1 @Awithonelison @danielmalmer The
news article · secondary · @CoryRove (Twitter/X user)
A tweet in which a Twitter user claims that a VAERS-based analysis limited to hospitalized cases shows greater vaccine risk than COVID risk for young people, and links to an external image.
- Documented
The tweet author claims there are methods to limit self-reporting bias in VAERS data.
“There are ways to analyze the VAERS data to limit self reporting.”✓ verified verbatim
- Documented
The tweet author claims the referenced analysis used only hospitalized cases from VAERS data.
“This analysis used only those hospitalized in the data.”✓ verified verbatim
- Asserted, not shown
The tweet author asserts that vaccine risk for young people exceeds COVID risk.
The underlying analysis is not included in the document; only a link and an attached image (not reproduced in text) are referenced. The claim is made without any supporting data visible in this document.
- Inferred
The tweet is a reply directed at multiple users, suggesting it is part of a broader conversation.
Inference: The presence of multiple @-mentions in the reply-to field and the 'In reply to @ryanbeed' notation indicate this is one message within an ongoing thread, not a standalone post.
- Inferred
An external image (FJfTPxAXIAQTqFN.jpg) is attached, presumably containing the referenced analysis.
Inference: The document notes one attached media file; given the tweet's context discussing an analysis, the image likely contains that analysis, but its contents are not reproduced in the document text.
- Jan 19, 2022
@CoryRove: @ryanbeed @Rex60242703 @Alexandradal1 @Awithonelison @danielmalmer Wro
news article · secondary · @CoryRove (Twitter user)
A tweet by @CoryRove, posted in reply to @ryanbeed, making claims about adverse event (AE) deaths, CDC recognition, death certificates, and a Pfizer study, with two attached images and an external link.
- Documented
The tweet author claims there is more than one adverse event (AE) death, but that only one was CDC-recognized.
“There is more than one AE death anyone can tell you that. Only one CDC recognized AE.”✓ verified verbatim
- Documented
The tweet author claims a Pfizer study contains 1,223 deaths but that a number within the trial was redacted.
“Pfizer own study has 1223 deaths but redacted number in trial so we can't determine if rate is normal.”⚠ not machine-verified
- Documented
The tweet includes an external hyperlink, presumably to supporting material.
“https://t.co/AkPXETrYV5”✓ verified verbatim
- Documented
The tweet includes two attached image files.
“FJerz_cXsAMKpaE.jpg, FJerz_bXIAoQLIf.jpg”✓ verified verbatim
- Inferred
The tweet is part of a multi-party conversation involving at least four other accounts.
Inference: The tweet header lists @ryanbeed, @Rex60242703, @Alexandradal1, @Awithonelison, and @danielmalmer as addressees, indicating a group reply thread rather than a direct one-to-one exchange.
- Asserted, not shown
The Pfizer study referenced contains 1,223 deaths and has redacted trial data preventing rate determination.
The tweet author asserts these facts but the document does not include or reproduce the Pfizer study itself; the linked URL and attached images are not rendered in the provided text, so their contents cannot be verified from this document.
- Asserted, not shown
The CDC recognized only one AE death.
The tweet asserts this but provides no CDC document, citation, or exhibit within the text to demonstrate it.
- Jan 18, 2022
@CoryRove: @ryanbeed @Alexandradal1 @Awithonelison @danielmalmer @Rex60242703 You
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove replying to @ryanbeed and others, disputing an argument about vaccine adverse event reporting rates and referencing an attached image.
- Documented
The tweet asserts that the argument that one additional vaccine administered to millions explains elevated report counts is flawed.
“Your assumption that since we administered one more vaccine to millions and thats why there are more reports is so flawed I am not sure you understand math.”✓ verified verbatim
- Documented
The tweet claims the existing vaccine schedule already includes multiple vaccines, including an annual flu vaccine.
“The vaccine schedule for people is a lot. Flu yearly. One more should not create a graph like this.”✓ verified verbatim
- Inferred
The tweet references an attached image (FJZ6YIiWYAoXJMA.jpg) that presumably contains a graph being discussed.
Inference: The phrase 'a graph like this' and the attached media URL together suggest the image contains a graph relevant to the argument, but the image content is not rendered in the text and cannot be verified from the document alone.
- Asserted, not shown
The graph shown in the attached image supports the claim that adding one vaccine to an existing schedule produces a disproportionate increase in adverse event reports.
The image is referenced but its content is not reproduced in the text; what the graph actually depicts, its source, methodology, or data cannot be evaluated from this document.
- Documented
The tweet is part of a multi-party conversation involving at least four other accounts.
“@ryanbeed @Alexandradal1 @Awithonelison @danielmalmer @Rex60242703”✓ verified verbatim
- Jan 16, 2022
@CoryRove: @ryanbeed @danielmalmer … the cdc says increased risk of disease among
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove, in a reply thread, asserting that the CDC states there is increased disease risk among those vaccinated early, and linking to another tweet as a source.
- Asserted, not shown
The tweet claims the CDC says there is increased risk of disease among those vaccinated early.
The tweet asserts this as a CDC position but provides only a link to another Twitter user's tweet (@Jimmy_Jeans) as support; no CDC document, data, or direct quotation from the CDC is included in this document.
- Documented
The tweet links to a post by @Jimmy_Jeans dated around August 2021 as its cited source.
“https://x.com/Jimmy_Jeans/status/1428324405998927878”✓ verified verbatim
- Documented
The tweet is part of a reply thread involving at least @ryanbeed and @danielmalmer.
“@ryanbeed @danielmalmer … the cdc says increased risk of disease among those vaccinated early.”✓ verified verbatim
- Inferred
The linked @Jimmy_Jeans tweet may itself characterize or summarize a CDC source, rather than being the CDC source directly.
Inference: The source cited is a third-party tweet, not a CDC publication; any CDC claim is therefore at least two steps removed from this document, suggesting the characterization of CDC findings is mediated through at least one intermediary.
- Jan 16, 2022
@CoryRove: @ryanbeed @danielmalmer You just asked if the outbreak of omicron coin
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove, posted in reply to @ryanbeed and @danielmalmer, asserting that the omicron outbreak timing relative to vaccination constituted a confounding factor and inviting the recipients to examine a referenced graph in relation to vaccine rollout and mandate timelines.
- Documented
The tweet is a reply directed at users @ryanbeed and @danielmalmer.
“@ryanbeed @danielmalmer You just asked if the outbreak of omicron coincided with the vaccination was a confounding factor”✓ verified verbatim
- Asserted, not shown
The author claims a confounding factor was 'proven' in relation to omicron and vaccination timing.
The tweet states it 'was proven to be' but provides no evidence, citation, or study within the document itself; the linked image (FJQfj1jX0AIsP8N.jpg) is not reproduced in text form and its contents cannot be evaluated.
- Documented
The tweet references a graph via an attached image and an external URL.
“Now look at this graph and ask when mass vaccines rolled out and when the mandate was put into effect or even when was the Pfizer Moderna study was done?”✓ verified verbatim
- Inferred
The author invites the recipients to draw inferences about vaccine rollout timing, mandate timing, and the Pfizer/Moderna study timeline from the graph.
Inference: The rhetorical questions posed ('ask when mass vaccines rolled out... when the mandate was put into effect... when was the Pfizer Moderna study was done?') imply the author believes the graph illustrates meaningful relationships among these events, but this inferential conclusion is not explicitly stated.
- Asserted, not shown
The contents of the attached image and the linked external URL are unknown.
The image file (FJQfj1jX0AIsP8N.jpg) and the linked URL (t.co/1X9Bb3CLsc) are referenced but not reproduced in the document text, making their contents unverifiable from this document alone.
- Jan 16, 2022
@CoryRove: @ryanbeed @danielmalmer Not that you believe science. The vaccine is c
news article · secondary · @CoryRove (Twitter user)
This document is a tweet in which a user makes a claim about vaccines and variants, citing a PubMed article and a referenced '145 county study' as purported evidence.
- Documented
The tweet asserts that 'the vaccine is creating the variants'
“The vaccine is creating the variants. That's what the 145 county study proves.”⚠ not machine-verified
- Documented
The tweet cites a PubMed article (PMID 34873910) as additional supporting evidence
“Here is another. https://pubmed.ncbi.nlm.nih.gov/34873910/”✓ verified verbatim
- Documented
The tweet is a reply directed at @ryanbeed and mentions @danielmalmer
“@ryanbeed @danielmalmer Not that you believe science.”✓ verified verbatim
- Asserted, not shown
The tweet includes an attached image, the contents of which are not reproduced in the document text
The image (FJQb5UxXMAEFH_T.jpg) is referenced but its content is not available in the document text provided
- Asserted, not shown
The referenced '145 county study' supports the claim that vaccines create variants
The study itself is not included or quoted; only the user's characterization of its conclusion is present. Neither the study's methodology nor findings are reproduced here.
- Asserted, not shown
The PubMed article cited supports the user's claim about vaccines creating variants
The linked PubMed article (PMID 34873910) is not reproduced in this document; its actual content and conclusions cannot be evaluated from this text alone.
- Inferred
The user is skeptical that the people they are replying to accept scientific evidence
Inference: The phrase 'Not that you believe science' directed at the reply targets suggests the user doubts their interlocutors' acceptance of scientific claims, though the document does not explicitly state this as a conclusion.
- Jan 16, 2022
@CoryRove: @ryanbeed @danielmalmer Ivermectin is a protease inhibitor so why is P
news article · secondary · @CoryRove (Twitter/X user)
A tweet in which a user asserts that ivermectin is a protease inhibitor and questions why Pfizer is developing its own protease inhibitor, linking to a Pfizer webpage as a cited source.
- Asserted, not shown
The tweet author asserts that ivermectin is a protease inhibitor.
The tweet states this as fact but provides no evidence, citation, or data within the document itself to support the pharmacological claim.
- Asserted, not shown
The tweet author asserts that Pfizer is developing its own protease inhibitor antiviral.
The linked Pfizer URL is cited as a source but its content is not reproduced in this document; the document itself does not demonstrate what the Pfizer page contains.
- Documented
The tweet was posted in reply to at least one other user and cites an external URL.
“@ryanbeed @danielmalmer Ivermectin is a protease inhibitor so why is Pfizer developing its own to sell? https://www.pfizer.com/science/coronavirus/antiviral-efforts”✓ verified verbatim
- Inferred
The rhetorical framing of the tweet implies a skeptical or critical stance toward Pfizer's antiviral development efforts.
Inference: The question 'why is Pfizer developing its own to sell?' presupposes that an existing alternative (ivermectin) already serves the same function, which frames Pfizer's development as unnecessary or profit-motivated — but this interpretation goes beyond what the text literally states.
- Jan 16, 2022
@CoryRove: @ryanbeed @danielmalmer …vaccines make it worse with statistical signi
news article · secondary · @CoryRove (Twitter/X user)
This document is a tweet in which user @CoryRove, replying to @ryanbeed and @danielmalmer, claims vaccines worsen outcomes with statistical significance based on a 145-country analysis, and links to a tweet by @P_McCulloughMD.
- Documented
The tweet asserts that vaccines make outcomes worse with statistical significance, citing a 145-country analysis.
“vaccines make it worse with statistical significance. 145 country analysis.”✓ verified verbatim
- Documented
The tweet is a reply directed at two other Twitter users.
“@ryanbeed @danielmalmer”✓ verified verbatim
- Documented
The tweet links to a separate tweet by @P_McCulloughMD as its cited source.
“https://x.com/P_McCulloughMD/status/1482782470005268481”✓ verified verbatim
- Asserted, not shown
The underlying 145-country analysis or its data, methodology, and findings are not reproduced or demonstrated within this document.
The claim of statistical significance and the 145-country analysis are referenced only by assertion and an external link; no data, study, or methodology appears in this document.
- Inferred
The tweet author likely encountered the 145-country analysis claim via @P_McCulloughMD's tweet rather than independently.
Inference: The only source linked is @P_McCulloughMD's tweet, suggesting that is where the claim originates for this author; however, the document does not explicitly state this.
- Jan 16, 2022
@CoryRove: @ryanbeed @F250Roush @JCDeardeuff @Bebert701 @frugalsues @AngloScot2 @
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove asserting that NIH has a financial interest in Moderna, that mRNA vaccines cause microscopic blood clots in 62% of recipients, and linking to a WordPress blog post attributed to Dr. Charles Hoffe.
- Documented
The tweet asserts that NIH has a financial interest in Moderna and raises the question of whether this constitutes a conflict of interest regarding pausing vaccine rollout due to blood clots.
“NIH has a financial interest in Moderna… would that be a conflict of interest if they had to pause roll out because of blood clots?”✓ verified verbatim
- Documented
The tweet claims that the vaccine causes micro blood clots in 62% of people and that D-dimer tests prove this.
“The vaccine causes micro blood clots in 62% of people. D-dimer test proves this.”✓ verified verbatim
- Documented
The tweet links to a WordPress blog post as its cited source for the 62% blood clot claim, attributed to Dr. Charles Hoffe, M.D.
“https://wellbeingaotearoa.wordpress.com/2021/07/12/d-dimer-tests-show-at-least-62-percent-of-mrna-vaccinated-patients-have-microscopic-blood-clots-reports-dr-charles-hoffe-m-d/”✓ verified verbatim
- Asserted, not shown
The 62% blood clot statistic and D-dimer claim originate from the linked third-party blog, not from any data or study contained within this document itself.
The tweet does not include any underlying data, study, or clinical documentation; it only links to a secondary WordPress blog post. The evidentiary basis for the claim is entirely external to this document.
- Inferred
The tweet is addressed to a large number of other Twitter users, suggesting it is part of a reply thread or a group mention rather than an original standalone post.
Inference: The presence of more than 40 @-mentions at the start of the tweet, combined with the 'In reply to @ryanbeed' tag, indicates this is a reply directed at multiple participants in a conversation rather than an independent broadcast tweet.
- Jan 16, 2022
@CoryRove: @ryanbeed @Alexandradal1 @danielmalmer @Awithonelison @Rex60242703 The
news article · secondary · @CoryRove (Twitter/X user)
This document is a public tweet by user @CoryRove offering opinions about vaccine risk, the VAERS database, and media coverage of COVID deaths, in reply to other users.
- Asserted, not shown
The author asserts that the vaccine is less risky for certain populations.
The tweet states this as a claim but provides no data, citation, or exhibit within the text itself to demonstrate it.
- Documented
The author characterizes VAERS as an imperfect database.
“VAERS is an imperfect database yes and when doing analysis you adjust for variable you can't control.”⚠ not machine-verified
- Asserted, not shown
The author asserts that media coverage of COVID deaths lacks seasonal context.
The tweet claims media is 'not putting in context covid deaths with seasonality' but provides no evidence or data to support this characterization.
- Inferred
The tweet includes an attached image and an external link, the contents of which are not available in this document.
Inference: The text references 'https://t.co/q04hv7M4X2' and '[Attached media (1): FJO6v6kXsAM3dH-.jpg]' but the actual content of either is not rendered in the document text, so their substance cannot be assessed.
- Documented
The tweet is part of a multi-party conversation.
“@ryanbeed @Alexandradal1 @danielmalmer @Awithonelison @Rex60242703”✓ verified verbatim
- Jan 16, 2022
@CoryRove: @Alexandradal1 @ryanbeed @danielmalmer @Awithonelison @Rex60242703 You
news article · secondary · @CoryRove (Twitter user)
A tweet in which the user @CoryRove asserts the existence of millions of adverse events and references a medrxiv preprint URL in a reply to other Twitter users.
- Documented
The tweet asserts there are millions of adverse events related to vaccines.
“they are millions of AEs but you vaccine fanatics don't care.”⚠ not machine-verified
- Documented
The tweet claims long-term data is beginning to emerge.
“The long term data is also starting to come out.”✓ verified verbatim
- Documented
The tweet links to a medrxiv preprint as a cited source.
“https://www.medrxiv.org/content/10.1101/2021.12.23.21268276v1.full.pdf”✓ verified verbatim
- Asserted, not shown
The medrxiv preprint linked actually supports the claims made in the tweet.
The content of the linked preprint is not reproduced in this document; only the URL is present. The document does not itself demonstrate what the preprint contains or whether it supports the claims.
- Inferred
The tweet is directed at multiple specific users in a reply chain.
Inference: The presence of multiple @-mentions at the start of the tweet text indicates this is a reply directed at those accounts, typical of a Twitter reply thread.
- Jan 15, 2022
@CoryRove: @ryanbeed @Alexandradal1 @danielmalmer @Awithonelison @Rex60242703 Tak
news article · secondary · @CoryRove (Twitter/X user)
A tweet in which a user directs others to look at a 'vaccine effectiveness column' for negative numbers and cites an external SSRN paper as alleged evidence of negative vaccine efficacy after a period of time.
- Asserted, not shown
The tweet author claims there is a study showing negative vaccine efficacy after a period of time.
The tweet links to an external SSRN paper but that paper's text, data, or findings are not included in this document; only the URL is present.
- Documented
The tweet author directs recipients to examine a 'vaccine effectiveness column' for negative numbers.
“Take a look at the vaccine effectiveness column and tell me if you see any negative numbers.”✓ verified verbatim
- Documented
The tweet is a reply directed at multiple users including @ryanbeed, @Alexandradal1, @danielmalmer, @Awithonelison, and @Rex60242703.
“@ryanbeed @Alexandradal1 @danielmalmer @Awithonelison @Rex60242703”✓ verified verbatim
- Documented
The tweet is part of a conversation, as it is labeled as a reply to @ryanbeed.
“[In reply to @ryanbeed]”✓ verified verbatim
- Asserted, not shown
The referenced SSRN paper contains a vaccine effectiveness column with negative numbers.
The tweet asserts this about the linked paper, but the paper itself is not reproduced in this document; the claim cannot be verified from this text alone.
- Inferred
The author is engaged in a multi-party social media debate about vaccine effectiveness data.
Inference: The presence of five tagged users, the reply structure, and the topic suggest an ongoing multi-party exchange, though no prior messages are included in this document.
- Jan 15, 2022
@CoryRove: @ryanbeed @Alexandradal1 @danielmalmer @Awithonelison @Rex60242703 Ign
news article · secondary · @CoryRove on Twitter
A tweet by @CoryRove referencing a claimed number of doctors who signed a declaration and linking to an American Greatness article about that declaration.
- Documented
The tweet claims that as of September, 7,200 doctors signed 'the declaration'.
“Ignore the as of September 7200 doctors that signed the declaration too.”✓ verified verbatim
- Documented
The tweet asserts that vaccine adverse effects need to be assessed and that media and others ignore this.
“We need to assess the vaccine adverse effects but the media and others seem to ignore this.”✓ verified verbatim
- Documented
The tweet links to an American Greatness article dated September 24, 2021, whose headline references over 3,000 doctors and scientists signing a declaration accusing COVID policymakers of crimes against humanity.
“https://amgreatness.com/2021/09/24/over-3000-doctors-and-scientists-sign-declaration-accusing-covid-policy-makers-of-crimes-against-humanity/”✓ verified verbatim
- Inferred
The number of signatories cited in the tweet (7,200) differs from the number cited in the linked article headline (3,000+), suggesting the tweet author is referencing a later or different count than the article.
Inference: The tweet states '7200 doctors' while the linked URL references 'over 3000,' and the tweet specifies 'as of September,' implying the figure may have grown after the article's publication; however, no source within this document confirms the 7,200 figure.
- Asserted, not shown
7,200 doctors signed the referenced declaration as of September.
The tweet asserts this figure but provides no direct evidence, data, or documentation within the tweet itself; the linked article headline cites a different figure (3,000+) and its contents are not reproduced here.
- Asserted, not shown
Media and others are ignoring vaccine adverse effects.
This is a claim made by the tweet author with no supporting evidence presented in the document.
- Jan 15, 2022
@CoryRove: @ryanbeed @Alexandradal1 @danielmalmer @Awithonelison @Rex60242703 Hal
news article · secondary · @CoryRove (Twitter/social media user)
This document is a tweet in which a social media user makes claims about FDA board resignations and vaccine effectiveness, with a link to an external study and an attached image.
- Asserted, not shown
The tweet claims that half the FDA board resigned because they disagreed with giving the vaccine to kids.
The tweet states this as fact but provides no supporting document, source, or evidence within the tweet itself.
- Asserted, not shown
The tweet claims that media did not report on alleged FDA board resignations.
The rhetorical assertion 'the media reported it. Right?' implies non-coverage but no evidence of media coverage or lack thereof is provided.
- Documented
The tweet references an external study showing vaccine effectiveness going negative and booster effectiveness at 75% against omicron.
“Here is a study where a vax effectiveness goes negative but the booster is 75% against omicron.”✓ verified verbatim
- Documented
The tweet includes a link to an external URL and an attached image, which are not reproduced in the document text.
“https://t.co/fPjVyveBnR [Attached media (1): FJLbYMRXEAIUDlB.jpg]”✓ verified verbatim
- Documented
The tweet is a reply to @ryanbeed and also tags multiple other users.
“@ryanbeed @Alexandradal1 @danielmalmer @Awithonelison @Rex60242703”✓ verified verbatim
- Inferred
The contents of the linked study and attached image cannot be evaluated from this document alone.
Inference: The linked URL and attached image are referenced but their content is not reproduced in the document text, making verification of the cited statistics impossible from this document.
- Jan 15, 2022
@CoryRove: @Alexandradal1 @ryanbeed @danielmalmer @Awithonelison @Rex60242703 No
other · secondary · @CoryRove (Twitter/X user)
A public tweet by @CoryRove, replying to multiple users, asserting that a Pfizer study constitutes proof of an unspecified claim and linking to an external URL, with two attached images.
- Documented
The tweet asserts that 'Pfizer's study is proof' of something.
“Pfizer's study is proof.”⚠ not machine-verified
- Documented
The tweet asserts that some unnamed subjects 'need to be researched' and that there is 'No proof' regarding them.
“No proof, they need to be researched.”✓ verified verbatim
- Documented
The tweet was directed at multiple users in a reply chain.
“@Alexandradal1 @ryanbeed @danielmalmer @Awithonelison @Rex60242703”✓ verified verbatim
- Inferred
The tweet includes a hyperlink to external content, presumably supporting the author's claim.
Inference: The URL is placed immediately after 'Pfizer's study is proof,' suggesting it is intended as a citation or supporting link, but the linked content is not reproduced in this document and cannot be evaluated here.
- Asserted, not shown
Two images are attached to the tweet and may contain additional information relevant to the author's claim.
The images are referenced by filename only (FJKlwRcX0AQNj7j.jpg, FJKlwRkXsAAh55V.jpg); their content is not reproduced in the document text and cannot be assessed.
- Asserted, not shown
The Pfizer study referenced constitutes proof of any specific factual claim.
The author asserts this without reproducing or summarizing the study's findings in the tweet itself; the study's content and conclusions are not available in this document.
- Jan 15, 2022
@CoryRove: @ryanbeed @danielmalmer @Awithonelison @Rex60242703 And you totally di
other · secondary · @CoryRove (Twitter/X user)
This document is a Twitter reply post by user @CoryRove making claims about VAERS data, underreporting, US deaths, and vaccine immunity, with an attached image and external link.
- Documented
The tweet author claims VAERS data was disregarded by the person they are replying to
“you totally disregarded the VAERS data with out even understanding what it represents.”✓ verified verbatim
- Asserted, not shown
The tweet author asserts that VAERS data is underreported
The claim 'Do you know it is under reported?' is asserted without any supporting data or citation visible in the tweet text itself; the attached image and linked URL are not reproduced in the document text.
- Asserted, not shown
The tweet author claims to have previously posted data about what deaths in the US should be
The statement 'I also posted what deaths in the US should be' references a prior post not included or reproduced in this document.
- Documented
The tweet author raises a question about whether the vaccine provides long-term immunity
“Is the vaccine providing long term immunity?”✓ verified verbatim
- Documented
The tweet includes an attached image and an external URL
“https://t.co/NoDlBnqCnQ”✓ verified verbatim
- Inferred
The content of the attached image (FJKkpxyXoAEHcjp.jpg) and the linked URL are not available in this document
Inference: The document notes an attached image filename and a shortened URL but does not reproduce their contents, so no findings can be drawn from them.
- Documented
This is a reply in a multi-party conversation involving at least four Twitter accounts
“@ryanbeed @danielmalmer @Awithonelison @Rex60242703”✓ verified verbatim
- Jan 15, 2022
@CoryRove: @ryanbeed @danielmalmer @Awithonelison @Rex60242703 Yep, that’s why I
news article · secondary · @CoryRove (Twitter/X user)
A Twitter reply from user @CoryRove to @ryanbeed and others, referencing VAERS data, Pfizer data, and including an external link and two attached images.
- Documented
The tweet is a reply directed at multiple users including @ryanbeed, @danielmalmer, @Awithonelison, and @Rex60242703.
“@ryanbeed @danielmalmer @Awithonelison @Rex60242703 Yep, that's why I said personal.”⚠ not machine-verified
- Documented
The author characterizes VAERS data as not being 'antidotal' (apparently meaning anecdotal) evidence.
“You didn't like VAERS data which is not antidotal evidence so I figured I would try the other.”⚠ not machine-verified
- Documented
The author asserts that Pfizer data is forthcoming.
“The Pfizer data is coming out so we find out.”✓ verified verbatim
- Documented
The tweet includes two attached image files and one external hyperlink.
“[Attached media (2): FJKjjKzWUAIVcJa.jpg, FJKjjK7XoAADgqc.jpg]”✓ verified verbatim
- Inferred
The author previously made a statement described as 'personal' in an earlier part of this conversation thread.
Inference: The phrase 'that's why I said personal' implies the author made a prior statement characterized as personal, but that prior tweet is not included in this document.
- Asserted, not shown
The content of the attached images or the linked URL supports any particular claim made in the tweet.
The images and external link are referenced but their contents are not reproduced in the document text; no verification of their content is possible from this document alone.
- Asserted, not shown
VAERS data is not anecdotal evidence, as the author claims.
This is a claim made by the author without supporting evidence or citation within the tweet itself.
- Jan 15, 2022
@CoryRove: @ryanbeed @danielmalmer @Awithonelison @Rex60242703 You don’t understa
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove replying to @ryanbeed and others, offering the author's characterization of a database and its limitations regarding adverse event reporting and mortality data.
- Documented
The author asserts that the database in question collects data points on possible adverse event events from any vaccine.
“it collects data points on possible AE events from any vaccine.”✓ verified verbatim
- Documented
The author asserts that the database does not provide information about the unvaccinated population or death rates.
“It does not tell you anything about the unvaccinated or death rate but you are asking for the death rate in an unvaxed pop.”✓ verified verbatim
- Documented
The author asserts that death rate data for the unvaccinated population exists from before the pandemic.
“Which we have before the pandemic.”✓ verified verbatim
- Documented
The author believes the person(s) they are replying to misunderstands the database.
“You don't understand that database…”⚠ not machine-verified
- Asserted, not shown
The tweet includes an attached image that may contain supporting material.
An attached image (FJKC-7HWYAITPKO.jpg) is referenced but its contents are not reproduced in the document text and cannot be assessed.
- Inferred
The author is responding to a multi-party conversation about vaccine adverse event data and mortality comparisons.
Inference: The reply-to structure and the content of the tweet (addressing database interpretation and death rate comparisons) suggest an ongoing multi-party debate, but the content of prior messages is not included in this document.
- Jan 15, 2022
@CoryRove: @ryanbeed @danielmalmer @Awithonelison @Rex60242703 The early warning
news article · secondary · @CoryRove (Twitter user)
This document is a single tweet by @CoryRove, posted in reply to other Twitter users, asserting a characterization of VAERS and linking to external content.
- Documented
The tweet characterizes VAERS as an 'early warning system' that is generating high-volume alerts regarding vaccines.
“The early warning system we have around vaccines VAERS is going off like a fire alarm…”✓ verified verbatim
- Documented
The tweet is part of a reply chain involving at least four other Twitter accounts.
“@ryanbeed @danielmalmer @Awithonelison @Rex60242703”✓ verified verbatim
- Inferred
The tweet links to external content that may support or elaborate on the claim about VAERS.
Inference: The presence of a truncated URL and an attached image suggests the author is referencing outside material, but neither the URL destination nor the image content is reproduced in this document.
- Asserted, not shown
VAERS data actually demonstrates an abnormal or alarming signal regarding vaccines.
The tweet asserts this characterization but provides no data, citation, or methodology within the tweet text itself; the linked content and attached image are not reproduced here.
- Jan 15, 2022
@CoryRove: @danielmalmer @Rex60242703 @Awithonelison No conspiracy. It’s like you
news article · secondary · @CoryRove (Twitter user)
This document is a tweet by a Twitter user (@CoryRove) making claims about Pfizer vaccine contracts and taxpayer funding, referencing an external AP News article as support.
- Asserted, not shown
The tweet author asserts that Pfizer has contracts with governments around the world.
The claim is made in the tweet text but the underlying evidence (the linked AP News article) is not reproduced in this document; only the URL is provided.
- Asserted, not shown
The tweet author asserts that taxpayers are paying for the vaccine.
This claim is stated in the tweet but not demonstrated within this document; it relies on the external AP News article, whose content is not included here.
- Documented
The tweet is part of a threaded conversation involving at least three other Twitter accounts (@danielmalmer, @Rex60242703, @Awithonelison).
“@danielmalmer @Rex60242703 @Awithonelison No conspiracy.”✓ verified verbatim
- Documented
The tweet author characterizes their opponent's argument as a straw man fallacy.
“It's like you don't understand a straw man fallacy… no matter how many times I point it out.”⚠ not machine-verified
- Documented
The tweet author links to an AP News article as supporting evidence for their claims.
“https://apnews.com/article/coronavirus-pandemic-business-science-health-coronavirus-vaccine-5305defac283ac5f352bc47fcb74c82b”✓ verified verbatim
- Inferred
The AP News article linked may support the claims about Pfizer contracts and taxpayer funding.
Inference: The tweet author appends the AP News URL immediately after making the claims, suggesting it is intended as corroboration; however, the article's content is not reproduced here and cannot be evaluated from this document alone.
- Jan 14, 2022
@CoryRove: @danielmalmer @Awithonelison @Rex60242703 … the vaccines wanes to the
news article · secondary · @CoryRove (Twitter/X user)
A tweet by user @CoryRove, replying in a thread, asserting that vaccine protection wanes to a negative level and appending a hashtag and a link to a Rand Paul tweet.
- Documented
The tweet asserts that vaccine efficacy wanes to a negative level, meaning increased susceptibility.
“the vaccines wanes to the point of being negative. Meaning you are more susceptible. #VAIDS”✓ verified verbatim
- Documented
The tweet is a reply within a multi-user conversation involving at least three other accounts.
“@danielmalmer @Awithonelison @Rex60242703”✓ verified verbatim
- Documented
The tweet cites a Rand Paul tweet as a source for its claim.
“https://x.com/RandPaul/status/1481283059114721284”✓ verified verbatim
- Asserted, not shown
The content of the linked Rand Paul tweet supports the claim made by @CoryRove.
The linked tweet's content is not reproduced in this document; its substance, accuracy, or relevance cannot be evaluated from this text alone.
- Inferred
The claim about negative vaccine efficacy is presented as factual rather than as opinion or speculation.
Inference: The tweet uses declarative language ('the vaccines wanes,' 'you are more susceptible') without hedging words such as 'allegedly' or 'possibly,' implying the speaker treats the claim as settled fact.
- Jan 12, 2022
@CoryRove: @danielmalmer @Rex60242703 @Awithonelison @RWMaloneMD Cover what up? W
news article · secondary · @CoryRove (Twitter user)
A tweet by user @CoryRove asserting that long-term vaccine side effects were unknown and that Moderna and Pfizer lost their clinical trial control groups, linking to a third-party blog post.
- Asserted, not shown
The tweet asserts that nothing was known about long-term side effects of the vaccines at the relevant time.
This is a claim made in the tweet text with no evidence, data, or supporting documentation presented within the document itself.
- Asserted, not shown
The tweet claims that Moderna and Pfizer lost their clinical trial control groups.
This claim is stated but supported only by a link to an external blog post (theconservativetreehouse.com), the content of which is not included in this document.
- Documented
The tweet was posted in reply to at least three other users: @danielmalmer, @Rex60242703, and @Awithonelison, and also mentions @RWMaloneMD.
“@danielmalmer @Rex60242703 @Awithonelison @RWMaloneMD Cover what up?”✓ verified verbatim
- Documented
The tweet includes a hyperlink to an external blog post on theconservativetreehouse.com dated August 23, 2021.
“https://theconservativetreehouse.com/blog/2021/08/23/with-pfizer-likely-to-get-fda-approval-monday-its-worth-remembering-pfizer-and-moderna-lost-the-clinical-trial-control-group”✓ verified verbatim
- Documented
The author anticipates the recipient will not read the linked source, characterizing the exchange as involving ad hominem argumentation.
“not that you'll read cause ad hominem.”⚠ not machine-verified
- Inferred
The tweet is part of a broader ongoing conversation or debate, the full context of which is not available in this document.
Inference: The reply-style formatting (@mentions at the start) and the phrase 'Cover what up?' indicate a response to prior statements, none of which are included here.
- Jan 12, 2022
@CoryRove: @danielmalmer @Awithonelison @Rex60242703 You are stuck in a black and
news article · secondary · @CoryRove (Twitter/X user)
A tweet in which user @CoryRove responds to other Twitter users by asserting that vaccine efficacy declines over time and linking to a Lancet eClinicalMedicine article as supporting evidence.
- Documented
The tweet was posted on January 12, 2022 at 22:07:49 UTC.
“Wed Jan 12 22:07:49 +0000 2022”✓ verified verbatim
- Documented
The author asserts that vaccines start with a positive outcome that worsens over time.
“Vaccines start out with a positive outcome and gets worse over time.”✓ verified verbatim
- Documented
The author links to a Lancet eClinicalMedicine article as purported evidence for their claim.
“https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(21)00493-4/fulltext”✓ verified verbatim
- Documented
The author characterizes the person they are replying to as engaging in binary ('black and white') reasoning.
“You are stuck in a black and white logic trap.”✓ verified verbatim
- Asserted, not shown
The linked Lancet article supports the author's claim about declining vaccine outcomes over time.
The document only provides a URL; the content, findings, or conclusions of the linked Lancet article are not reproduced here and cannot be evaluated from this document alone.
- Inferred
The tweet is part of a multi-party conversation involving at least three other accounts.
Inference: The tweet is addressed to @danielmalmer, @Awithonelison, and @Rex60242703, suggesting an ongoing thread, but no prior messages are included in this document.
- Jan 12, 2022
@CoryRove: @danielmalmer @Rex60242703 @Awithonelison Who is suppressing ivermecti
other · secondary · @CoryRove (Twitter user)
A public tweet in which a Twitter user makes claims about ivermectin suppression, financial interests, and media relationships with pharmaceutical companies.
- Documented
The tweet author identifies media, Fauci, Twitter users, and the FDA as entities suppressing ivermectin.
“Who is suppressing ivermectin? Media. Fauci. All the sheep on Twitter. The FDA”✓ verified verbatim
- Documented
The tweet author claims ivermectin is inexpensive.
“ivermectin is cheap”✓ verified verbatim
- Asserted, not shown
The tweet author asserts the NIH has a financial interest in the Moderna vaccine.
The tweet states this as fact but provides no documentation, data, or exhibit within the text to substantiate the claim.
- Asserted, not shown
The tweet author asserts media is paid by Pfizer.
The tweet states 'Media is paid by Pfizer' with no supporting evidence, citation, or documentation provided in the text.
- Documented
The tweet includes an attached image, the content of which is not described in the text.
“[Attached media (1): FI7TgHAXMAUO6TO.jpg]”✓ verified verbatim
- Documented
The tweet is directed at or references at least two other Twitter accounts (@danielmalmer and @Rex60242703) and one additional account (@Awithonelison).
“@danielmalmer @Rex60242703 @Awithonelison”✓ verified verbatim
- Inferred
The financial interest claim regarding the NIH and Moderna may be intended to be supported by the linked URL or attached image.
Inference: The tweet includes a hyperlink and an attached image alongside the financial claims; it is reasonable to read these as intended supporting material, though their contents are not reproduced in this document.
- Jan 12, 2022
@CoryRove: @danielmalmer @Awithonelison @Rex60242703 The study from Pfizer is not
news article · secondary · @CoryRove (Twitter/X user)
This document is a Twitter reply in which user @CoryRove makes a claim distinguishing a Pfizer study from VAERS data, with two attached images and a hyperlink, in response to other users.
- Documented
The tweet asserts that a study from Pfizer is not VAERS and claims it links the vaccine to adverse events (AEs).
“The study from Pfizer is not VAERS. That one links the vaccine to AEs.”✓ verified verbatim
- Documented
The tweet includes a hyperlink purportedly supporting the claim about the Pfizer study.
“https://t.co/XzOI879nSq”✓ verified verbatim
- Inferred
The tweet was part of a multi-user conversation involving at least three other accounts.
Inference: The tweet is addressed to @danielmalmer, @Awithonelison, and @Rex60242703, and is marked 'In reply to @CoryRove', indicating a thread context with multiple participants.
- Asserted, not shown
The Pfizer study referenced in fact links the vaccine to adverse events.
The linked URL and attached images are not reproduced in the document text; the underlying study or its findings cannot be evaluated from this text alone.
- Asserted, not shown
The attached images (FI6fX56XoAE_-at.jpg, FI6fX6OWUAEDfue.jpg) contain content relevant to the claim.
Image files are listed by filename only; their contents are not described or reproduced in the document text.
- Jan 12, 2022
@CoryRove: @danielmalmer @Awithonelison @Rex60242703 Nice now you get it. Data. T
news article · secondary · @CoryRove (Twitter/X user)
This document is a single tweet in which a user makes several claims about vaccine adverse event data, referencing an unspecified study, a Harvard study on VAERS, and Israeli data.
- Asserted, not shown
The tweet user claims a study found that trials did not find adverse events when Pfizer did.
No study is named, linked with retrievable content, or quoted; the underlying study is not included in this document.
- Asserted, not shown
The tweet user claims a Harvard study found the VAERS database drastically under-reported adverse events.
No Harvard study is cited by name, author, date, or included text; the claim is made without any supporting exhibit in this document.
- Asserted, not shown
The tweet user claims Israel found adverse events to be 55 per million.
No Israeli data source is identified or included; the figure is stated without supporting documentation within this document.
- Documented
The tweet user characterizes the conversation as being about sorting out facts in a specific study.
“Sorting out facts in this study.”✓ verified verbatim
- Inferred
The tweet includes attached image media and an external URL, suggesting additional content may exist outside this document.
Inference: The presence of two attached image filenames and a t.co shortened link implies supplementary visual or linked material, but neither is reproduced in the document text provided.
- Documented
The tweet is a reply directed at multiple users.
“@danielmalmer @Awithonelison @Rex60242703 Nice now you get it.”✓ verified verbatim
- Jan 12, 2022
@CoryRove: @danielmalmer @Rex60242703 @Awithonelison Nope. The vaccine came out w
news article · secondary · @CoryRove (Twitter/X user)
A tweet in which a Twitter user makes claims about vaccine efficacy and ivermectin use in unspecified countries, in reply to other users.
- Documented
The tweet is addressed to three other Twitter users as part of a conversation thread.
“@danielmalmer @Rex60242703 @Awithonelison Nope. The vaccine came out when? Not Jan 1st.”✓ verified verbatim
- Asserted, not shown
The author asserts that in unspecified countries implementing 'mass ivermectin with zinc,' death and infection curves immediately dropped.
No countries are named, no data sources are cited, and no underlying evidence is included in the tweet text itself. The attached image (FI6PiBeXwAEg1Ep.jpg) is referenced but its content is not reproduced in the provided text.
- Asserted, not shown
The author asserts that a COVID spike was larger than the original spike even with the vaccine available, and that there was 'no change in curve.'
No data, citations, or methodology are provided within the tweet text to support this claim. The linked URL and attached image may contain supporting material, but their contents are not available in the document text provided.
- Inferred
The tweet includes a hyperlink and an attached image, suggesting the author intends to reference external visual or data material.
Inference: The presence of 'https://t.co/dzEaZSQb5S' and '[Attached media (1): FI6PiBeXwAEg1Ep.jpg]' indicates the author is pointing to external content, but the content of that material is not reproduced here and cannot be evaluated.
- Jan 12, 2022
@CoryRove: @danielmalmer @Rex60242703 @Awithonelison The absolute risk reduction
news article · secondary · @CoryRove (Twitter user)
A tweet in which user @CoryRove makes claims about vaccine absolute risk reduction and criticizes data analysis in a prior exchange, linking to a Lancet Microbe article.
- Asserted, not shown
The tweet author asserts the absolute risk reduction for 'the vaccine' is around 1 percent.
The claim is stated by the tweet author but no data, methodology, or exhibit is provided within the tweet itself to support it.
- Asserted, not shown
The tweet author characterizes the data analysis referenced in the prior exchange as 'flawed.'
The allegation of flawed analysis is asserted without any supporting evidence or explanation within the tweet text.
- Asserted, not shown
The tweet author claims that larger studies point to the opposite conclusion from the one being discussed.
No larger studies are identified or cited beyond the single Lancet Microbe URL, which is an external document not reproduced here.
- Documented
The tweet contains a hyperlink to a Lancet Microbe article (PIIS2666-5247(21)00069-0).
“https://www.thelancet.com/journals/lanmic/article/PIIS2666-5247(21)00069-0/fulltext?s=09”✓ verified verbatim
- Documented
The tweet is a reply directed at users @danielmalmer, @Rex60242703, and @Awithonelison.
“@danielmalmer @Rex60242703 @Awithonelison”✓ verified verbatim
- Documented
The tweet author is characterizing a comparison between vaccinated and unvaccinated populations as drawn from 'a small population.'
“you are picking out a small population and trying to compare vax and unvax when the data analysis is even flawed”✓ verified verbatim
- Inferred
The Lancet Microbe article linked may support the tweet author's claim about absolute risk reduction.
Inference: The URL is offered immediately after the claim about larger studies pointing to the opposite, suggesting the author intends it as supporting evidence; however, the article's content is not reproduced and cannot be evaluated from this document.
- Jan 12, 2022
@CoryRove: @danielmalmer @Rex60242703 @Awithonelison Why is the FDA focused on bl
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove posing rhetorical questions about the FDA's stance on ivermectin, Pfizer data review, and FDA-Pfizer personnel connections, with two attached images whose content is not reproduced in the text.
- Documented
The tweet asks why the FDA is focused on blocking ivermectin rather than reviewing Pfizer data.
“Why is the FDA focused on blocking ivermectin? They should be reviewing Pfizer data?”✓ verified verbatim
- Documented
The tweet asks how many FDA employees worked at Pfizer.
“How many FDA employees worked at Pfizer?”✓ verified verbatim
- Documented
The tweet was posted in reply to @CoryRove and directed at @danielmalmer, @Rex60242703, and @Awithonelison.
“@danielmalmer @Rex60242703 @Awithonelison Why is the FDA focused on blocking ivermectin?”✓ verified verbatim
- Documented
Two images were attached to the tweet.
“[Attached media (2): FI30qnLWYAIRh9K.jpg, FI30qnSXEAIwKT4.jpg]”✓ verified verbatim
- Asserted, not shown
The content of the two attached images is unknown from this document.
Image filenames are listed but image content is not reproduced or described in the available text.
- Inferred
The rhetorical questions imply the author believes there is a problematic relationship between FDA and Pfizer personnel.
Inference: Pairing 'blocking ivermectin' with 'How many FDA employees worked at Pfizer?' suggests the author is implying a conflict-of-interest narrative, but this is inferential and not stated as a factual claim in the text.
- Asserted, not shown
The FDA is actively blocking ivermectin.
This is posed as a rhetorical premise in the tweet but no evidence, citation, or exhibit is provided within the document to substantiate it.
- Asserted, not shown
A meaningful number of FDA employees previously worked at Pfizer.
This is implied by the rhetorical question but no data, names, or supporting documentation are provided in the document.
- Jan 12, 2022
@CoryRove: @danielmalmer @Rex60242703 @Awithonelison We now know the vaccines eff
news article · secondary · @CoryRove (Twitter/social media user)
A tweet by user @CoryRove, posted in a reply thread, asserting claims about vaccine efficacy waning and herd immunity, with a linked URL and attached image.
- Documented
The tweet asserts that vaccine efficacy wanes.
“We now know the vaccines efficacy wanes which is part of the reason we never reach herd immunity from the vaccine.”✓ verified verbatim
- Documented
The tweet was posted as a reply in a multi-user conversation.
“@danielmalmer @Rex60242703 @Awithonelison”✓ verified verbatim
- Documented
The tweet includes a linked external URL intended to support its claims.
“https://t.co/OSae4u536k”✓ verified verbatim
- Asserted, not shown
The linked URL or attached image provides evidence substantiating the claims made in the tweet.
The content of the linked URL and the attached image (FI3rrtCXoAEdP1N.jpg) are not included in or reproduced within this document; their contents cannot be evaluated here.
- Inferred
The claim about vaccine efficacy waning is presented as settled/established ('we now know'), implying scientific consensus.
Inference: The phrase 'we now know' implies the author treats this as established fact rather than contested opinion, but the document does not itself demonstrate or cite the underlying evidence.
- Jan 12, 2022
@CoryRove: @danielmalmer @Rex60242703 @Awithonelison It was accepted science that
news article · secondary · @CoryRove (Twitter/X user)
A tweet in which a Twitter user makes a claim about vaccine science and media framing, replying to other users, with a linked image attachment.
- Asserted, not shown
The tweet asserts that it was 'accepted science' that a leaky vaccine would create variants in vaccinated populations.
The claim of 'accepted science' is stated by the account holder but no supporting scientific source, citation, or data is reproduced in the text of the tweet itself. The linked URL and attached image are not rendered in the provided text.
- Asserted, not shown
The tweet asserts that media framed variant creation as caused by unvaccinated people.
No media sources, articles, or examples are quoted or reproduced in the document to evidence this characterization.
- Documented
The tweet was posted as a reply directed at @danielmalmer, @Rex60242703, and @Awithonelison.
“@danielmalmer @Rex60242703 @Awithonelison It was accepted science that a leaky vaccine would create variants in the vaccinated population”✓ verified verbatim
- Inferred
The tweet includes an attached image and an external hyperlink, the contents of which are not available in the provided text.
Inference: The document references 'https://t.co/eiSEvamjD4' and '[Attached media (1): FI3n0dqWUAA1WFh.jpg]' but neither the linked page nor the image content is reproduced, so their substance cannot be assessed from this document alone.
- Jan 12, 2022
@CoryRove: @danielmalmer @Rex60242703 @Awithonelison If vax conferred immunity it
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove commenting on vaccine efficacy and citing a preprint study URL in a reply-thread conversation.
- Asserted, not shown
The tweet author claims vaccines did not confer immunity because they did not prevent Delta variant infection.
This is a rhetorical assertion by a Twitter user; no evidence or data is presented within the tweet itself to support this causal claim.
- Documented
The tweet contains a verbatim quotation attributed to an external source (a medrxiv preprint) stating a 13.06-fold increased risk of breakthrough Delta infection in vaccinated-naive individuals versus previously infected individuals.
“SARS-CoV-2-naïve vaccinees had a 13.06-fold (95% CI, 8.08 to 21.11) increased risk for breakthrough infection with the Delta variant compared to those previously infected”✓ verified verbatim
- Inferred
The quoted statistic originates from the linked medrxiv preprint, not from the tweet author's own analysis.
Inference: The tweet places the statistic in quotation marks and immediately follows it with a URL to a medrxiv preprint, indicating the quote is sourced from that external document.
- Asserted, not shown
The tweet author asserts that vaccine efficacy wanes.
The tweet states 'The efficacy wanes' but provides no data, exhibit, or elaboration within the tweet itself; only a link to an external preprint is supplied.
- Inferred
The linked preprint is hosted on medrxiv and had not undergone peer review at the time of posting.
Inference: The URL domain is medrxiv.org, which is a preprint server; peer-review status is not stated in the tweet but medrxiv is known as a preprint repository. However, this inference imports outside knowledge and should be treated cautiously.
- Jan 11, 2022
@CoryRove: @danielmalmer @Rex60242703 @Awithonelison More science that the vaccin
news article · secondary · @CoryRove (Twitter user)
A tweet by @CoryRove sharing a link to a preprint on medRxiv and characterizing it as showing 56% vaccine effectiveness against Omicron, in reply to other users.
- Documented
The tweet claims the linked source shows the vaccine is only 56% effective against Omicron.
“More science that the vaccine is only 56% effective against omicron.”✓ verified verbatim
- Documented
The tweet links to a medRxiv preprint as the source for the 56% effectiveness claim.
“https://www.medrxiv.org/content/10.1101/2021.12.20.21267966v2”✓ verified verbatim
- Asserted, not shown
The characterization of the linked preprint as supporting a 56% effectiveness figure is asserted by the tweet author but the underlying preprint is not reproduced here.
The linked medRxiv preprint is not included in this document; the accuracy, methodology, peer-review status, or conclusions of that preprint cannot be assessed from this tweet alone.
- Documented
The tweet is part of a multi-user conversation involving @danielmalmer and @Rex60242703 and @Awithonelison.
“@danielmalmer @Rex60242703 @Awithonelison”✓ verified verbatim
- Inferred
The term 'More science' implies the author believes prior evidence already supports this position.
Inference: Use of 'More science' rather than 'Science shows' implies the author is adding to a body of evidence already cited in the conversation, but no prior sources are visible in this document.
- Jan 11, 2022
@CoryRove: @danielmalmer @Rex60242703 @Awithonelison After 200 days from being va
news article · secondary · @CoryRove (Twitter/X user)
A tweet by user @CoryRove, in a reply thread, claims a linked preprint study shows vaccine efficacy going negative after 200 days and includes an attached image.
- Documented
The tweet asserts that after 200 days from vaccination, the cited study shows efficacy going negative, meaning increased susceptibility to COVID.
“After 200 days from being vaccinated this study has efficacy going negative. Meaning you are more susceptible to covid”✓ verified verbatim
- Documented
The tweet links to a specific preprint paper on SSRN (abstract_id=3949410) as the source for the claim.
“https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3949410”✓ verified verbatim
- Documented
The tweet was posted as part of a reply thread involving at least three other users.
“@danielmalmer @Rex60242703 @Awithonelison”✓ verified verbatim
- Inferred
The tweet includes an attached image (FIylmj6X0AEMhYQ.jpg) that presumably displays the referenced graph.
Inference: The tweet references 'this graph' and an attached media file is listed, but the image content is not rendered or described in the document text, so the connection between the image and the graph claim is inferred rather than confirmed.
- Asserted, not shown
The claimed finding that vaccine efficacy goes negative after 200 days is actually demonstrated by the linked SSRN study.
The tweet cites an external preprint but does not reproduce its data, methodology, or findings. The contents of the linked paper are not included in this document and cannot be verified from the tweet alone.
- Jan 10, 2022
@CoryRove: @danielmalmer @Rex60242703 @Awithonelison I need to verify the data. H
news article · secondary · @CoryRove (Twitter/X user)
A tweet in which user @CoryRove poses a series of skeptical questions about hospital vaccine-status data, directed at other Twitter users, with a truncated URL and an attached image.
- Documented
The author states they need to verify the data being discussed.
“I need to verify the data.”✓ verified verbatim
- Asserted, not shown
The author asserts that hospitals were not collecting vaccine status.
This is a claim made in the tweet text with no supporting evidence, citation, or exhibit provided in the document itself.
- Documented
The author identifies New York as the jurisdiction under discussion and notes it has mandatory vaccines.
“This is New York that has mandatory vaccines”✓ verified verbatim
- Documented
The author raises questions about how the data was adjusted and how 'vaccinated' is defined for the dataset, including a two-week-after threshold.
“They adjusted the data? How? What is the definition of vaccinated for the data? Two weeks after?”✓ verified verbatim
- Inferred
The tweet references Canada, but the context or relevance is not established because the text is truncated.
Inference: The word 'Canada…' appears at the end of the visible text followed by a truncated URL, suggesting the full argument or comparison was cut off; the document does not establish what point about Canada was being made.
- Asserted, not shown
The attached image (FIxNJE6XEAE0kFa.jpg) contains information relevant to the discussion.
An image is noted as attached but its content is not reproduced in the document text and cannot be evaluated.
- Jan 9, 2022
@CoryRove: @Rex60242703 @Awithonelison The government hid other treatments so the
news article · secondary · @CoryRove (Twitter/X user)
This document is a tweet by user @CoryRove asserting, in reply to other users, that a government concealed alternative treatments in order to promote a vaccine, with a link to another tweet as a cited source.
- Asserted, not shown
The tweet asserts that a government hid other treatments in order to push a vaccine.
The claim is stated without any evidence, data, documents, or exhibits provided within this tweet itself. The linked external tweet is not reproduced here and cannot be evaluated from this document alone.
- Documented
The tweet is a reply directed at users @Rex60242703 and @Awithonelison.
“@Rex60242703 @Awithonelison The government hid other treatments so they could push a vaccine.”✓ verified verbatim
- Documented
The author cites an external tweet by @RohullahSayeedi as a source for the claim.
“https://x.com/RohullahSayeedi/status/1479980900993712130”✓ verified verbatim
- Asserted, not shown
The content of the linked @RohullahSayeedi tweet supports or evidences the claim being made.
The linked tweet's content is not reproduced in this document; its evidentiary value cannot be assessed here.
- Jan 9, 2022
@CoryRove: @Awithonelison @boldranet How Does waning over months compare to the o
news article · secondary · @CoryRove (Twitter/X user)
This document is a tweet by user @CoryRove posing rhetorical questions about vaccine waning, boosters, and mandates, and citing an SSRN paper in support of a claimed 56% efficacy figure against Omicron.
- Documented
The tweet claims vaccine efficacy is only 56% in the first two weeks against Omicron, citing an SSRN paper.
“Efficacy is only 56% in the first two weeks against omicron. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3949410”✓ verified verbatim
- Asserted, not shown
The tweet asserts that the cited SSRN paper supports the 56% efficacy claim.
The SSRN paper is only linked, not reproduced; its contents, methodology, or conclusions cannot be evaluated from this document alone.
- Inferred
The tweet author is skeptical of booster and mandate policies.
Inference: The rhetorical questions 'why boost and have mandates' and 'Are you for boosters and mandates?' suggest skepticism, but the document does not explicitly state the author's position.
- Documented
The tweet is part of a multi-party conversation involving at least @Awithonelison and @boldranet.
“@Awithonelison @boldranet How Does waning over months compare to the other vaccines.”✓ verified verbatim
- Jan 8, 2022
@CoryRove: @Awithonelison @boldranet Although it does not produce immune memory a
news article · secondary · @CoryRove (Twitter user)
A tweet by user @CoryRove making claims about vaccine immune memory and waning efficacy, with a link to a preprint on medrxiv.org, posted in reply to @Awithonelison.
- Documented
The tweet asserts that the vaccine does not produce immune memory and that the vaccine wanes over time.
“it does not produce immune memory and vaccine wanes over time. Hence the continual boosters.”✓ verified verbatim
- Documented
The tweet cites a medrxiv.org preprint URL as a source for its claims.
“https://www.medrxiv.org/content/10.1101/2021.12.20.21267966v2”✓ verified verbatim
- Asserted, not shown
The claims about immune memory and waning are supported by the linked preprint.
The linked preprint is not included in this document; its content, methodology, conclusions, and peer-review status cannot be evaluated from this tweet alone.
- Documented
The tweet is part of a conversation directed at @Awithonelison and involving @boldranet.
“@Awithonelison @boldranet Although it does not produce immune memory”✓ verified verbatim
- Inferred
The phrase 'it' refers to a vaccine or vaccine type discussed earlier in the conversation thread.
Inference: The word 'it' is a pronoun whose antecedent is not present in this tweet; the referent must exist in prior messages in the reply thread, which are not included in this document.
- Jan 8, 2022
@CoryRove: @Awithonelison @boldranet Going through the data in record time but wa
news article · secondary · @CoryRove (Twitter/X user)
A tweet in which a Twitter user makes claims about Pfizer adverse event fatalities and life insurance mortality data, in reply to another user.
- Documented
The tweet author states that Pfizer's own study recorded 1,223 adverse event fatalities during a reporting interval.
“Pfizer's own study had 1223 AE fatalities during reporting interval.”⚠ not machine-verified
- Documented
The tweet author states that a life insurance company is reporting a 40% increase in deaths among 18–49 year-olds in the year referenced.
“A life insurance co. is reporting a 40% increase in 18-49 yo deaths this year.”✓ verified verbatim
- Documented
The tweet author expresses the opinion that a 55-year redaction timeline for the referenced data is unacceptable.
“Going through the data in record time but wanting 55 years to redact it… If you find that acceptable that's your opinion. I don't.”⚠ not machine-verified
- Asserted, not shown
The tweet links to an external URL and includes an attached image, which may contain supporting material.
The linked URL content and attached image (FIm-bM3XEAYEFHD.jpg) are not reproduced in the document text; their contents cannot be evaluated from this document alone.
- Asserted, not shown
The claims about Pfizer AE fatalities and the life insurance mortality increase are sourced from external documents not reproduced here.
The tweet asserts these figures but provides no underlying data, study text, or life insurance report within the document itself.
- Inferred
The tweet is part of a conversation thread involving at least two other users (@Awithonelison and @boldranet).
Inference: The tweet begins with two @ mentions and is labeled 'In reply to @Awithonelison,' indicating a multi-party exchange, though the prior messages are not included.
- Jan 8, 2022
@CoryRove: @Awithonelison @boldranet That article is pretty biased as it calls an
news article · secondary · @CoryRove on Twitter
A tweet by @CoryRove responding to other users, characterizing a referenced article as biased and making claims about FDA data redaction related to vaccine administration records.
- Documented
The tweet author characterizes the referenced article as biased for labeling critical thought as anti-vaccine.
“That article is pretty biased as it calls any critical though anti-vaccine. Wanting data is now anti-vaccine… odd.”✓ verified verbatim
- Asserted, not shown
The tweet author claims the FDA redacted the number of people administered the vaccine, thereby eliminating the denominator of the data.
The tweet asserts this as fact but provides no documentary evidence within the text itself; attached images are not readable in the provided text, and no primary source is quoted or reproduced.
- Documented
The tweet author acknowledges uncertainty about the significance of the alleged FDA redaction, stating it 'could be nothing or really bad.'
“This could be nothing or really bad…”✓ verified verbatim
- Documented
The tweet includes a hyperlink and two attached image files, suggesting supplementary material was shared.
“https://t.co/RoWU5aG5ZH [Attached media (2): FImIgXwWQAkuw8G.jpg, FImIgX3XoAU88sR.jpg]”✓ verified verbatim
- Inferred
The tweet is part of a conversation thread involving at least two other accounts.
Inference: The tweet is addressed to @Awithonelison and @boldranet and is labeled 'In reply to @CoryRove,' indicating it is part of a multi-user thread, though the content of prior messages is not included.
- Jan 8, 2022
@CoryRove: @Awithonelison @boldranet You went from no gene modification to it tak
news article · secondary · @CoryRove (Twitter/X user)
This document is a tweet by @CoryRove replying to @Awithonelison, making claims about mRNA vaccines, gene modification, and the FDA, and linking to another tweet.
- Asserted, not shown
The tweet author claims that once mRNA is in a person, 'we know very little currently'.
This is a bare assertion by a Twitter user with no supporting evidence, data, or citations provided within the tweet itself.
- Asserted, not shown
The tweet author alleges the FDA is 'trying to hide the evidence they do have' regarding mRNA.
This is an unsubstantiated allegation made by the tweet author; no evidence, exhibit, or documentation is provided within this document to support it.
- Documented
The tweet author characterizes the person they are replying to as having shifted their position from 'no gene modification' to 'it takes a long time'.
“You went from no gene modification to it takes a long time… any scientific evidence for this.”✓ verified verbatim
- Documented
The tweet author asks whether there is scientific evidence for the position they attribute to @Awithonelison.
“any scientific evidence for this.”✓ verified verbatim
- Documented
The tweet links to an external tweet by @BCscifience as a cited source.
“https://x.com/BCscifience/status/1479374663063068675”✓ verified verbatim
- Inferred
The content of the linked @BCscifience tweet may be intended to support the author's claims.
Inference: The link is appended after the author's claims, suggesting it is offered as supporting evidence, but the linked document's content is not reproduced here and cannot be evaluated.
- Jan 7, 2022
@CoryRove: @Awithonelison Can your own cells reverse transcriptase? Would it need
news article · secondary · @CoryRove (Twitter/X user)
A tweet by user @CoryRove posing rhetorical questions about mRNA vaccine mechanisms and linking to a third-party WordPress blog post purportedly summarizing an MIT/Harvard study.
- Documented
The tweet poses rhetorical questions about whether mRNA from vaccines could be reverse transcribed into human DNA.
“Can your own cells reverse transcriptase? Would it need to be in the vaccine?… is it possible the mRNA can be written into ones DNA?”✓ verified verbatim
- Documented
The tweet links to an external WordPress blog post claiming to describe an MIT/Harvard study suggesting mRNA vaccines might permanently alter DNA.
“https://rightsfreedoms.wordpress.com/2021/08/13/mit-harvard-study-suggests-mrna-vaccine-might-permanently-alter-dna-after-all/”✓ verified verbatim
- Documented
The tweet includes at least one attached image.
“FIhO2zgXoAoFAWm.jpg”✓ verified verbatim
- Documented
The tweet is a reply directed at user @Awithonelison.
“@Awithonelison Can your own cells reverse transcriptase?”✓ verified verbatim
- Inferred
The author implies skepticism or concern about mRNA vaccine safety regarding DNA alteration.
Inference: The rhetorical questions and link to a blog post with a provocative headline suggest the author is raising doubt about mRNA vaccine safety, though no explicit opinion statement is made.
- Asserted, not shown
The linked WordPress blog post accurately represents the findings of an MIT/Harvard study.
The tweet links to the blog post but the blog post's content, accuracy, or fidelity to any underlying study is not reproduced or verifiable within this document.
- Asserted, not shown
An MIT/Harvard study exists that suggests mRNA vaccines permanently alter DNA.
This claim originates from the linked third-party blog post title; no primary study text, citation, or data is included in the tweet itself.
- Jan 1, 2022
@CoryRove: @AndrewLazarus4 @BurgerLab12 @pawley_robert @barryjohnreid21 @mcfunny
news article · secondary · @CoryRove (Twitter user)
A tweet by @CoryRove posing a question to numerous users about an attached image purportedly showing an actuarial risk calculation regarding vaccines and children.
- Documented
The tweet poses a question about whether an actuarial risk calculation is flawed, characterizing it as showing 'the vaccine kills more children than the vaccine saves'
“Is there anything wrong with this actuary risk calc showing the vaccine kills more children than the vaccine saves?”✓ verified verbatim
- Documented
The tweet includes an attached image file referenced as FH_2W0VVQAEXQsw.jpg
“[Attached media (1): FH_2W0VVQAEXQsw.jpg]”✓ verified verbatim
- Documented
The tweet is a reply within a larger conversation thread
“[In reply to @CoryRove]”✓ verified verbatim
- Inferred
The tweet includes a hyperlink (https://t.co/WRXTNmxzDh) which may link to the image or an external source
Inference: The presence of a t.co shortened URL alongside the attached image suggests it may point to an external resource, but the destination is not resolvable from this document alone.
- Asserted, not shown
The actuarial risk calculation referenced actually shows the vaccine kills more children than it saves
The tweet characterizes the content of the attached image in its question, but the image itself is not rendered or analyzed in this document; no underlying data or methodology is presented.
- Inferred
The tweet is directed at approximately 50 named Twitter accounts
Inference: The @-mentions listed in the tweet body number approximately 50 distinct usernames, suggesting a mass-reply intended to solicit responses from multiple users.
- Dec 31, 2021
@CoryRove: @mcfunny @UCommie @LWSmith15 @DanielB59756947 @JSAHolmes @markmcdougal
news article · secondary · @CoryRove (Twitter/X user)
A tweet in which user @CoryRove poses rhetorical questions about vaccine safety and neurodegeneration while linking to a Lancet EClinicalMedicine article, in reply to a multi-party Twitter conversation.
- Documented
The tweet author poses questions about whether one vaccine is less safe than another and about increases in neurodegeneration.
“So is one vaccine less safe than another? What could cause the difference? Why the increase in neurodegeneration?”✓ verified verbatim
- Documented
The tweet links to a specific article published in The Lancet EClinicalMedicine journal.
“https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(21)00324-2/fulltext#seccesectitle0012”✓ verified verbatim
- Documented
The tweet is part of a reply chain involving numerous other Twitter users.
“[In reply to @mcfunny]”✓ verified verbatim
- Asserted, not shown
The linked Lancet article supports or contains data relevant to the questions posed about vaccine safety and neurodegeneration.
The linked article's content is not reproduced in this document; only the URL is present. The document does not establish what the article actually says or whether it supports the framing of the questions.
- Inferred
The author characterizes the exchange as 'actual debate,' implying prior disagreement in the reply thread.
Inference: The phrase 'There you go. Actual debate.' implies the author believes the link resolves or advances a prior dispute, but the content of that dispute is not present in this document.
- Dec 28, 2021
@CoryRove: @markmcdougall13 @cappsie @MdRisette @BurgerLab12 @DanielB59756947 @JS
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove posing rhetorical questions about spike protein, neurodegeneration, vaccines, and COVID treatments while linking to a PubMed article.
- Documented
The tweet poses a question about whether spike protein is the cause of neurodegeneration
“Spike protein is the cause of neurodegeneration… does the vaccine have the same effects?”✓ verified verbatim
- Documented
The tweet poses a question about whether HCQ or Ivermectin help with long COVID
“Does HCQ or Ivermectin help with long covid?”✓ verified verbatim
- Documented
The tweet includes a link to a PubMed article as a cited source
“https://pubmed.ncbi.nlm.nih.gov/33789211/”✓ verified verbatim
- Documented
The tweet is a reply directed at @markmcdougall13 and tags numerous other Twitter accounts
“@markmcdougall13 @cappsie @MdRisette @BurgerLab12 @DanielB59756947 @JSAHolmes @frugalsues @Bebert701”✓ verified verbatim
- Asserted, not shown
The PubMed article linked supports the claims made in the tweet about spike protein and neurodegeneration
The linked PubMed article (33789211) is not reproduced in this document; its contents, conclusions, and relevance to the claims cannot be evaluated from this tweet alone.
- Inferred
The author believes or intends to assert (rather than merely question) that spike protein causes neurodegeneration
Inference: The statement 'Spike protein is the cause of neurodegeneration' is declarative rather than interrogative, followed by questions; it is unclear whether the author is asserting this as fact, summarizing the linked paper, or posing it as a hypothesis. The rhetorical intent cannot be confirmed from the text alone.
- Dec 28, 2021
@CoryRove: @cappsie @BurgerLab12 @markmcdougall13 @DanielB59756947 @JSAHolmes @fr
news article · secondary · @CoryRove (Twitter/X user)
A public tweet by @CoryRove directed at numerous other Twitter users, expressing skepticism about vaccine efficacy against omicron and linking to another tweet by @P_McCulloughMD.
- Documented
The tweet was posted on December 28, 2021 at 21:42:07 UTC.
“Tue Dec 28 21:42:07 +0000 2021”✓ verified verbatim
- Documented
The tweet addresses a large number of named Twitter accounts.
“@cappsie @BurgerLab12 @markmcdougall13 @DanielB59756947 @JSAHolmes @frugalsues @Bebert701 @judysimpson222”✓ verified verbatim
- Documented
The author characterizes the recipients as 'vaccine addicts' and implies they ignore science.
“I bet you vaccine addicts still think it will protect you from omicron… or will you pay attention to science for once.”✓ verified verbatim
- Documented
The tweet links to a post by the account @P_McCulloughMD as an apparent supporting source.
“https://x.com/P_McCulloughMD/status/1475856149115293701”✓ verified verbatim
- Asserted, not shown
The linked @P_McCulloughMD tweet contains content relevant to vaccine efficacy against omicron.
The text of the linked tweet is not reproduced in this document; its content cannot be evaluated from what is provided here.
- Inferred
The tweet is a reply to @CoryRove, suggesting it may be part of a thread initiated by that same account.
Inference: The metadata states '[In reply to @CoryRove]' while the author is also @CoryRove, suggesting this tweet is a continuation of or reply within the author's own thread, though the original post is not included.
- Dec 28, 2021
@CoryRove: … this is heinous. How about you arrest the looters instead of traumat
news article · secondary · @CoryRove (Twitter/X user)
This document is a tweet by @CoryRove expressing an opinion about vaccine passports and law enforcement priorities, linking to another tweet by @cynclagar.
- Documented
The tweet author characterizes something as 'heinous'
“this is heinous.”✓ verified verbatim
- Documented
The tweet author asserts that a vaccine passport does not stop the spread of disease
“a vaccine passport that does not stop the spread”✓ verified verbatim
- Documented
The tweet author asserts that a child was traumatized in connection with a vaccine passport
“traumatizing a kid about a vaccine passport”✓ verified verbatim
- Documented
The tweet author asserts that looters were not being arrested
“How about you arrest the looters instead of traumatizing a kid about a vaccine passport”✓ verified verbatim
- Asserted, not shown
The tweet references an external tweet by @cynclagar that presumably contains the underlying incident or content being reacted to
The linked tweet by @cynclagar is not reproduced in this document; its content, context, and veracity are entirely unknown from this text alone.
- Asserted, not shown
The claim that a vaccine passport 'does not stop the spread' is asserted by the author without supporting evidence in the document
No data, study, or citation is provided within this document to substantiate the epidemiological claim.
- Inferred
The author's reaction is directed at a specific institution or actor (implied by 'you arrest')
Inference: The imperative 'you arrest' implies an addressee, likely law enforcement or a government authority, but no specific entity is named in the document text.
- Dec 26, 2021
@CoryRove: @cmb48439849 @Rex60242703 @conservatyler … kids are having heart attac
news article · secondary · @CoryRove (Twitter/X user)
This document is a tweet by a private Twitter user posing a rhetorical question about the frequency of heart attacks and strokes in children before a vaccine, and linking to an external tweet by @disclosetv.
- Documented
The tweet poses a rhetorical question about the pre-vaccine rate of heart attacks and strokes in children.
“kids are having heart attacks and strokes. How rare were they before the vaccine shot?”✓ verified verbatim
- Inferred
The tweet implies a causal or correlative relationship between a vaccine and heart attacks and strokes in children.
Inference: The juxtaposition of 'kids are having heart attacks and strokes' with 'before the vaccine shot' implies the author attributes or links the events to the vaccine, though no explicit causal claim is stated and no supporting data is presented in this document.
- Asserted, not shown
Children are having heart attacks and strokes as a result of or following vaccination.
The tweet asserts this as a premise but provides no data, medical records, or evidence within the document itself. The linked external tweet is not reproduced here and cannot be evaluated.
- Dec 23, 2021
@CoryRove: @mcfunny @TierraHenson @BurgerLab12 @Lance_A_Wilkins @fiski70 @pawley_
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove replying to @mcfunny and numerous other accounts, asserting claims about VAERS data and a Pfizer study, and linking to a Bitchute video.
- Documented
The author asserts that VAERS data is not random.
“VAERS data is not random and you refuse to admit that”✓ verified verbatim
- Documented
The author characterizes Pfizer's study as limited to its own vaccine and its effects.
“Pfizer's study was just that a study of their vaccine and it's effects.”⚠ not machine-verified
- Documented
The author links to a Bitchute video as a cited source.
“https://www.bitchute.com/video/9Iw7X5MhoQRT/”✓ verified verbatim
- Asserted, not shown
The Bitchute video linked contains evidence or argumentation supporting the author's claims about VAERS or the Pfizer study.
The tweet links to an external video; the content of that video is not reproduced in this document and cannot be evaluated here.
- Inferred
The tweet is part of an ongoing multi-party conversation involving disagreement about VAERS data and/or the Pfizer vaccine study.
Inference: The tweet is a reply to @mcfunny and tags over 40 other accounts, and the phrasing 'Nope' and 'you refuse to admit' indicates a rebuttal in a prior exchange, implying an ongoing dispute.
- Dec 23, 2021
@CoryRove: @TierraHenson @mcfunny @BurgerLab12 @Lance_A_Wilkins @fiski70 @pawley_
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove directed at multiple users asserting that their risk comparison is biased because it ignores vaccine risks, and linking to a BMJ rapid response article.
- Documented
The tweet accuses the addressed parties of ignoring vaccine risks and characterizes their risk comparison as biased.
“You ignore the risks from the vaccine so your comparison of risk is biased.”✓ verified verbatim
- Documented
The tweet links to a BMJ rapid response item as a cited source.
“https://www.bmj.com/content/373/bmj.n958/rr-1”✓ verified verbatim
- Inferred
The tweet is addressed to a large number of specific Twitter users (approximately 50 handles listed).
Inference: The presence of numerous @-mentions in the tweet text indicates it was directed at those users, though the document does not explain the context of the preceding conversation.
- Asserted, not shown
The linked BMJ article supports the claim that vaccine risks are being ignored.
The tweet cites the BMJ URL but the content of that article is not reproduced in this document; its relevance or conclusions cannot be evaluated from this text alone.
- Dec 23, 2021
@CoryRove: @mcfunny @BurgerLab12 @Lance_A_Wilkins @fiski70 @pawley_robert @judysi
news article · secondary · @CoryRove (Twitter user)
This document is a tweet by the account @CoryRove, posted in December 2021, asserting a claim about viral load in vaccinated healthcare workers and linking to an external preprint paper on SSRN.
- Documented
The tweet asserts that viral load is higher in vaccinated healthcare workers.
“viral load higher in vaccinated healthcare workers.”✓ verified verbatim
- Documented
The tweet links to an external SSRN preprint paper as a cited source for this claim.
“https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3897733”✓ verified verbatim
- Asserted, not shown
The claim about viral load in vaccinated healthcare workers is substantiated by the linked paper.
The tweet links to an external SSRN URL but the content of that paper is not included in this document; the tweet does not itself demonstrate or evidence the underlying claim.
- Inferred
The tweet is a reply directed at a large number of named Twitter accounts.
Inference: The tweet begins with numerous @-mentions and is marked 'In reply to @mcfunny,' indicating it was composed as a reply and directed at many users, though the document does not explicitly state the purpose of tagging all those accounts.
- Dec 23, 2021
@CoryRove: @mcfunny @Lance_A_Wilkins @fiski70 @pawley_robert @judysimpson222 @Beb
news article · secondary · @CoryRove (Twitter user)
A tweet by @CoryRove replying to multiple users, asserting that vaccine efficacy data is meaningless without a time element and linking to a Substack post about a Swedish study on COVID vaccines.
- Documented
The tweet author asserts that vaccine efficacy data is meaningless without considering the time element.
“All this is meaningless without the time element.”✓ verified verbatim
- Documented
The tweet author asserts that the vaccine wanes over time regardless of which dose the recipient is on.
“The vaccine wanes over time no matter which dose you are on.”✓ verified verbatim
- Documented
The tweet links to a Substack post purportedly about a Swedish study on COVID vaccines.
“https://boriquagato.substack.com/p/swedish-study-shows-covid-vaccines”✓ verified verbatim
- Documented
The tweet is a reply directed at @mcfunny and numerous other tagged users.
“@mcfunny @Lance_A_Wilkins @fiski70 @pawley_robert @judysimpson222”✓ verified verbatim
- Asserted, not shown
The Swedish study referenced in the linked Substack post supports the author's claims about vaccine waning.
The linked Substack post and the underlying Swedish study are not included in this document; only the URL is present. The content, methodology, and conclusions of the study cannot be evaluated from this tweet alone.
- Inferred
The author is directing this comment in response to a discussion or argument about vaccine efficacy data.
Inference: The tweet begins with 'All this is meaningless,' implying it is responding to a prior claim or dataset shared in the thread, though the prior content is not reproduced in this document.
- Dec 22, 2021
@CoryRove: @mcfunny @Lance_A_Wilkins @MdRisette @ChrisJohnsonMD @pawley_robert @j
news article · secondary · @CoryRove (Twitter/X user)
This document is a tweet by @CoryRove, posted in reply to @mcfunny, asserting that a Pfizer study connected vaccines to an unspecified outcome, with two attached images and an external link.
- Documented
The tweet claims that a Pfizer study connected vaccines to an unspecified subject matter being discussed in the thread.
“but you ignore the study that Pfizer did on the vaccines that did connect them.”✓ verified verbatim
- Documented
The tweet is a reply directed at @mcfunny and includes a large number of additional tagged accounts.
“@mcfunny @Lance_A_Wilkins @MdRisette @ChrisJohnsonMD”✓ verified verbatim
- Documented
The tweet includes an external URL (https://t.co/itM4EsmdOv) and two attached image files intended to support the claim.
“https://t.co/itM4EsmdOv”✓ verified verbatim
- Asserted, not shown
The content of the two attached images (FHO4lUCXoAEOBUv.jpg, FHO4lUJXwAguQ1v.jpg) is not rendered in the document text and cannot be evaluated.
Images are referenced by filename only; their content is not included in the document text provided.
- Asserted, not shown
The external link destination is not rendered in the document text and cannot be evaluated.
The shortened URL is listed but its target content is not included or described in this document.
- Inferred
The tweet refers to a prior conversational exchange in which someone ('you') apparently dismissed or did not mention a Pfizer study.
Inference: The phrase 'but you ignore' implies a preceding disagreement or omission by the interlocutor, but the prior messages are not reproduced in this document.
- Asserted, not shown
The specific claim, outcome, or connection that the referenced Pfizer study allegedly established is not identified anywhere in the tweet text.
The tweet asserts the study 'did connect them' without specifying what 'them' refers to or providing any detail about the study's findings within the document itself.
- Dec 19, 2021
@CoryRove: @TheDisproof @temple_surly @25_cycle @windy_rockbell @wjack76995 @Tier
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove asserting a claim about vaccine biodistribution and linking to a tweet by @RWMaloneMD as a source.
- Documented
The tweet asserts that 'the vaccine accumulates in the ovaries of females.'
“the vaccine accumulates in the ovaries of females.”✓ verified verbatim
- Documented
The tweet cites a post by @RWMaloneMD on Twitter/X as its source for the claim.
“https://x.com/RWMaloneMD/status/1471951659836354560”✓ verified verbatim
- Inferred
The tweet is a reply within a larger conversation involving numerous tagged accounts.
Inference: The presence of '[In reply to @CoryRove]' and a large list of @-mentioned usernames indicates this is part of a multi-participant thread, though the content of prior replies is not included in this document.
- Asserted, not shown
The claim that the vaccine accumulates in the ovaries of females is accurate.
The tweet states this as fact but provides no data, studies, or primary evidence within the tweet itself; it only links to another tweet, whose content is not reproduced here.
- Dec 18, 2021
@CoryRove: After saying two weeks to flatten the curve was a lie, we are at impla
news article · secondary · @CoryRove (Twitter/X user)
A tweet by the user @CoryRove expressing the personal opinion that pandemic-related public health measures and vaccine technology have validated what the author characterizes as prior conspiracy theories, and linking to a third-party tweet.
- Asserted, not shown
The author claims that 'two weeks to flatten the curve' was a lie.
The document states this as fact but provides no evidence, data, or documentation to demonstrate it.
- Asserted, not shown
The author asserts that 'implanted vaccine passes' now exist.
The document asserts this as a current reality but provides no documentation or evidence within the text itself; the linked tweet is external and not reproduced here.
- Documented
The author states they have been called a 'conspiracy nut.'
“they even still call me a conspiracy nut”✓ verified verbatim
- Documented
The author characterizes their previously held beliefs as having been proven real.
“the conspiracies are all real now and the left seems fine… they even still call me a conspiracy nut… Even though it's all real.”⚠ not machine-verified
- Inferred
The tweet links to an external source (@disclosetv) that presumably supports the author's claims.
Inference: The URL cited points to a @disclosetv tweet, suggesting the author is using it as supporting evidence, but the content of that linked tweet is not reproduced in this document and cannot be evaluated here.
- Inferred
The document is a personal opinion post, not a primary record, report, or official document.
Inference: The format (tweet), platform (Twitter/X), and rhetorical first-person opinion language indicate this is a personal expression rather than any official or evidentiary primary source.
- Dec 15, 2021
@CoryRove: @judysimpson222 @Bebert701 @TakethatCt @Chris_F_Carson @TierraHenson @
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove replying to a multi-party Twitter conversation, expressing skepticism about a document's comparability claims and data verification, and referencing Pfizer data with an attached link and two images.
- Documented
The author claims to have read a document carefully and states it contained reasons not to make certain comparisons.
“I did read it carefully and it clearly stated a bunch of reasons you shouldn't compare them.”⚠ not machine-verified
- Documented
The author states an inability to verify the data due to unresolved definitional questions, specifically regarding how 'vaccinated' is defined.
“I also can't verify the data with basic questions like what do they consider vaccinated.”⚠ not machine-verified
- Documented
The author accuses one or more of the reply recipients of ignoring Pfizer's data.
“Keep ignoring Pfizer's data though.”⚠ not machine-verified
- Inferred
The tweet includes a linked URL and two attached image files, suggesting the author is referencing external source material.
Inference: The presence of a URL (https://t.co/v8xaqu0JQG) and two named image attachments (FGr7lJZXMAAkNjn.jpg, FGr7lJcXEAMD5-9.jpg) implies the author is directing recipients to additional content, but the content of that material is not reproduced in this document.
- Asserted, not shown
The referenced document contains data that is meaningful or relevant to the conversation about vaccination.
The author references 'Pfizer's data' and a document with comparability caveats, but neither the linked URL content nor the attached images are reproduced here, so no underlying data is available for assessment.
- Documented
The tweet is part of a multi-party reply thread involving at least 49 tagged accounts.
“@judysimpson222 @Bebert701 @TakethatCt @Chris_F_Carson @TierraHenson @pawley_robert @BurgerLab12 @frugalsues @squatchknows @LWSmith15”✓ verified verbatim
- Dec 14, 2021
@CoryRove: @mcfunny @LWSmith15 @frugalsues @judysimpson222 @Bebert701 @Chris_F_Ca
news article · secondary · @CoryRove (Twitter/X user)
A tweet by user @CoryRove, posted in reply to @mcfunny and tagging numerous other users, asserting that 'it was the vaccine,' with two attached images whose content is not reproduced in the text.
- Documented
The tweet asserts that 'it was the vaccine' in response to a prior conversation.
“you're wrong. It was the vaccine.”⚠ not machine-verified
- Documented
The tweet includes a hyperlink (https://t.co/bR3WSc2StO) and two attached image files.
“https://t.co/bR3WSc2StO [Attached media (2): FGl4l66WQAUOgz_.jpg, FGl4l7NXMAgSNum.jpg]”✓ verified verbatim
- Documented
The tweet is a reply directed at @mcfunny and tags approximately 50 additional Twitter accounts.
“[In reply to @mcfunny]”✓ verified verbatim
- Asserted, not shown
The linked URL and attached images contain content that substantiates the claim 'it was the vaccine.'
The content of the hyperlink and the two attached images is not reproduced in this document; no evidentiary basis for the assertion is visible in the text provided.
- Inferred
The tweet is part of an ongoing conversation or debate, implying prior posts made claims the author disputes.
Inference: The phrase 'you're wrong' and the reply-to metadata indicate a pre-existing exchange, but the content of the prior posts is not included in this document.
- Dec 14, 2021
@CoryRove: @cappsie @JSAHolmes @BurgerLab12 @frugalsues @RTheatheist @familysherr
news article · secondary · Twitter user @CoryRove
A tweet by @CoryRove directing multiple other Twitter users to a RealClearPolitics URL purportedly about Pfizer scientists speaking to Project Veritas regarding natural antibodies versus vaccination.
- Documented
The tweet contains a link to a RealClearPolitics article dated October 4, 2021, concerning Pfizer scientists and Project Veritas.
“https://www.realclearpolitics.com/video/2021/10/04/pfizer_scientists_to_project_veritas_your_antibodies_are_probably_better_than_the_vaccination.html”✓ verified verbatim
- Documented
The tweet is a reply directed at multiple named Twitter accounts.
“@cappsie @JSAHolmes @BurgerLab12 @frugalsues @RTheatheist @familysherrod @pawley_robert @Chris_F_Carson @LWSmith15 @ADevotedYogi”✓ verified verbatim
- Inferred
The tweet implies that Pfizer scientists stated natural antibodies are superior to vaccination.
Inference: The phrase 'Or take it from Pfizer scientists' combined with the linked URL title ('your antibodies are probably better than the vaccination') implies the author is using the linked content to support a claim about natural immunity superiority, but the underlying content of the linked article is not reproduced in this document.
- Asserted, not shown
Pfizer scientists made statements to Project Veritas asserting natural antibodies are better than vaccination.
The tweet references an external URL but does not reproduce the content of that article or any transcript; the claim rests entirely on the linked source, which is not part of this document.
- Dec 14, 2021
@CoryRove: @mcfunny @frugalsues @Bobby_Boulder @LWSmith15 @judysimpson222 @Bebert
news article · secondary · @CoryRove (Twitter user)
A tweet by @CoryRove asserting intellectual dishonesty in the use of self-reported numbers and citing specific figures attributed to Pfizer data, in reply to another user.
- Documented
The tweet author accuses an interlocutor of using self-reported numbers to argue that certain events are rare, while characterizing this as intellectually dishonest.
“So you then turn around and use the self reported numbers to make the point they are rare. Wow. Intellectual dishonesty at its finest.”✓ verified verbatim
- Documented
The tweet author claims Pfizer's data shows 1,223 fatalities out of 42,086 (units unspecified).
“Pfizer's data is accurate 1223 fatalities out of 42,086”⚠ not machine-verified
- Inferred
The tweet includes an attached image (FGk3jnLXMAMddQm.jpg) and a URL, presumably as supporting evidence for the cited figures.
Inference: The tweet references both an image attachment and a hyperlink immediately after stating the figures, suggesting they are intended as sourcing; the actual content of the image and linked page is not reproduced in the document text.
- Asserted, not shown
The figures '1223 fatalities out of 42,086' accurately represent Pfizer's data.
The tweet asserts these are Pfizer's figures but neither the linked URL content nor the attached image text is reproduced in this document, so the claim cannot be verified from this document alone.
- Inferred
The tweet is part of an ongoing multi-party conversation.
Inference: The tweet is addressed to over 40 usernames and is marked 'In reply to @mcfunny,' indicating it is one message in a larger thread involving many participants.
- Dec 14, 2021
@CoryRove: @judysimpson222 @frugalsues @mcfunny @Bobby_Boulder @LWSmith15 @Bebert
news article · secondary · @CoryRove (Twitter user)
A tweet by user @CoryRove making claims about Pfizer fatality data and asserting the data was subject to a 55-year suppression effort, with attached images and an external link.
- Asserted, not shown
The tweet claims there were 1,223 deaths in the first few months according to Pfizer's own data.
The tweet asserts this figure but the underlying data is not reproduced in the tweet text itself; attached images are referenced but their contents are not available in the document text provided.
- Asserted, not shown
The tweet claims Pfizer attempted to keep the referenced data secret for 55 years.
No evidence, exhibit, or source is reproduced in the tweet text to demonstrate this claim; the external link and attached images are not accessible from the text alone.
- Documented
The tweet was sent as a reply to @judysimpson222 and mentions a large number of other Twitter accounts.
“[In reply to @judysimpson222]”✓ verified verbatim
- Documented
The tweet includes an external hyperlink and two attached media files.
“https://t.co/PH6fLQuEMZ [Attached media (2): FGk16gdXEAAZF2E.jpg, FGk16gjXoAsUGbL.jpg]”✓ verified verbatim
- Inferred
The contents of the linked URL and attached images are not established by this document.
Inference: The tweet references external content (a link and two images) whose substance cannot be verified from the tweet text alone; any claims they might support or contradict are outside this document's scope.
- Dec 14, 2021
@CoryRove: @pawley_robert @Chris_F_Carson @TierraHenson @BurgerLab12 @frugalsues
news article · secondary · @CoryRove (Twitter user)
A tweet in which a Twitter user asserts that vaccine definitions were changed to serve Pfizer's financial interests, and quotes a statistic about waning vaccine effectiveness against infection, linking to an external preprint paper.
- Documented
The tweet includes a quoted passage about vaccine effectiveness waning over time, attributed to an external source linked in the tweet.
“Vaccine effectiveness against infection waned progressively from 92% at day 15-30 to 47% at day 121-180, and from day 211 and onwards no effectiveness”✓ verified verbatim
- Asserted, not shown
The tweet author claims that vaccines used to confer immunity but the definition was changed to serve Pfizer's financial interests.
The tweet asserts a change in vaccine definition and attributes the motivation to Pfizer's bottom line, but provides no evidence or documentation within the tweet itself supporting either claim.
- Inferred
The effectiveness statistics quoted appear to originate from the linked SSRN preprint paper rather than from the tweet author's own analysis.
Inference: The tweet uses quotation marks around the statistics and provides a link to an external SSRN paper, suggesting the numbers are drawn from that source rather than independently generated by the author.
- Asserted, not shown
The quoted effectiveness figures are presented as complete and final findings.
The underlying SSRN paper (a preprint) is not reproduced in this document; its methodology, peer-review status, population studied, vaccine type, and full context are not established by the tweet alone.
- Dec 14, 2021
@CoryRove: @pawley_robert @BurgerLab12 @frugalsues @Chris_F_Carson @squatchknows
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove responding to a multi-user thread, speculating about vaccine effectiveness and linking to a Lancet Microbe article.
- Documented
The tweet is a reply directed at @pawley_robert and numerous other users.
“@pawley_robert @BurgerLab12 @frugalsues @Chris_F_Carson @squatchknows @LWSmith15 @ADevotedYogi”✓ verified verbatim
- Documented
The author links to a Lancet Microbe article as apparent support for the claim.
“https://www.thelancet.com/journals/lanmic/article/PIIS2666-5247(21)00069-0/fulltext?s=09”✓ verified verbatim
- Documented
The author asserts that some prior point made in the thread may explain why 'the vaccine is not that effective.'
“Maybe that's why the vaccine is not that effective then.”⚠ not machine-verified
- Inferred
The tweet implies the linked Lancet article supports a claim about reduced vaccine effectiveness.
Inference: The author places the effectiveness claim immediately before the URL, implying a causal or evidentiary relationship, but the linked article's content is not reproduced in this document and cannot be evaluated here.
- Asserted, not shown
The Lancet article supports the author's claim about vaccine ineffectiveness.
The article is only linked, not quoted or summarized; its actual findings are not present in this document and cannot be verified from it.
- Inferred
The tweet is part of a larger ongoing conversation thread.
Inference: The '[In reply to @pawley_robert]' metadata and the large number of tagged users indicate this is a reply within a thread, but the content of prior messages is absent from this document.
- Dec 14, 2021
@CoryRove: @pawley_robert @BurgerLab12 @frugalsues @Chris_F_Carson @squatchknows
news article · secondary · @CoryRove (Twitter user)
A tweet by @CoryRove asserting that Pfizer created a patentable drug similar to ivermectin, with a link to a ZeroHedge article as the cited source.
- Documented
The tweet asserts that Pfizer created a drug similar to ivermectin ('horse paste') in order to make money.
“Pfizer couldn't be left out of making a buck so they created their own horse paste they were able to patent.”⚠ not machine-verified
- Documented
The tweet links to a ZeroHedge article about Pfizer launching a final study on a COVID drug described as similar to ivermectin.
“https://www.zerohedge.com/covid-19/pfizer-launches-final-study-covid-drug-thats-suspiciously-similar-ivermectin”✓ verified verbatim
- Inferred
The tweet was sent as a reply directed at numerous other Twitter accounts.
Inference: The tweet text begins with a long string of @-mentions, which on Twitter indicates it is a reply or directed message to those users, though the document does not explicitly state this.
- Asserted, not shown
Pfizer's drug is chemically or mechanistically similar to ivermectin.
The tweet asserts this similarity but provides no scientific data, documentation, or primary source within the tweet itself; the linked ZeroHedge article is not reproduced here and cannot be evaluated.
- Asserted, not shown
Pfizer's motive in developing the drug was financial gain rather than medical need.
The tweet claims Pfizer acted to 'make a buck,' but no evidence of internal decision-making, corporate documents, or other supporting material is provided in the document.
- Dec 14, 2021
@CoryRove: @pawley_robert @BurgerLab12 @frugalsues @Chris_F_Carson @squatchknows
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove directed at multiple users, asserting that a prior respondent claimed CDC data was wrong and Pfizer's own data is misinformation, and linking to an AHA journal abstract.
- Documented
The tweet author claims the person they are replying to said CDC data was wrong.
“You said the CDC data was wrong and now Pfizer's own data is misinformation.”⚠ not machine-verified
- Documented
The tweet includes a hyperlink to an American Heart Association journal abstract (DOI: 10.1161/circ.144.suppl_1.10712).
“https://www.ahajournals.org/doi/abs/10.1161/circ.144.suppl_1.10712”✓ verified verbatim
- Documented
The tweet is a reply to @pawley_robert.
“In reply to @pawley_robert”✓ verified verbatim
- Inferred
The tweet author intends the linked AHA journal source as evidence supporting their argument against @pawley_robert.
Inference: The link is appended immediately after the rhetorical claim, suggesting the author presents it as supporting their position, but the document does not explicitly state this purpose.
- Asserted, not shown
The referenced AHA journal abstract supports or refutes any particular position on CDC data or Pfizer data.
The content of the linked journal abstract is not reproduced in this document; only the URL is present. The document does not itself demonstrate what the abstract establishes.
- Asserted, not shown
@pawley_robert actually stated that CDC data was wrong or that Pfizer's data is misinformation.
These are characterizations made by @CoryRove of @pawley_robert's prior statements; the prior tweets are not included in this document.
- Dec 14, 2021
@CoryRove: @pawley_robert @BurgerLab12 @frugalsues @Chris_F_Carson @squatchknows
news article · secondary · @CoryRove (Twitter user)
A tweet by user @CoryRove, posted in reply to a multi-user Twitter thread, asserting a claim about Pfizer vaccine death data and linking to an external URL with attached images.
- Documented
The tweet claims there were 1,223 deaths from the vaccine according to 'Pfizer's own data'.
“How about Pfizer's own data. 1223 deaths from vaccine…”⚠ not machine-verified
- Documented
The tweet includes a truncated external URL and two attached image files, which are referenced but whose content is not reproduced in this document.
“https://t.co/rwA2peS2zg [Attached media (2): FGi2zsWXoAIsN7Q.jpg, FGi2zsgWUAMrCdd.jpg]”✓ verified verbatim
- Documented
The tweet is a reply within a larger multi-user conversation.
“@pawley_robert @BurgerLab12 @frugalsues @Chris_F_Carson @squatchknows @LWSmith15 @ADevotedYogi @JT375043170 @cappsie @mcfunny”✓ verified verbatim
- Asserted, not shown
The claim that the figure of 1,223 deaths originates from Pfizer's own data is asserted but the underlying source document is not reproduced in this text.
The linked URL and attached images are not rendered or quoted in the document text provided; the source of the statistic cannot be verified from this document alone.
- Inferred
The attached images likely contain the visual evidence the tweet author is referencing to support the 1,223 deaths claim.
Inference: The tweet pairs the claim with two attached images and a link, suggesting the images are intended as supporting evidence, but their content is not available in this text.
- Dec 9, 2021
@CoryRove: If Fauci believes this he should be the one to try and administer the
news article · secondary · @CoryRove on Twitter/X
This document is a tweet by user @CoryRove containing a rhetorical comment and a hashtag, linking to a third-party tweet by @TPostMillennial whose content is not reproduced in this document.
- Documented
The tweet author poses a rhetorical challenge referencing Fauci and vaccine administration.
“If Fauci believes this he should be the one to try and administer the vaccine forcefully…”✓ verified verbatim
- Documented
The tweet includes a hashtag referencing the term 'VAIDS' as a query or rhetorical device.
“what is #VAIDS?”✓ verified verbatim
- Inferred
The tweet links to a @TPostMillennial tweet that presumably contains a statement attributed to Fauci.
Inference: The phrase 'If Fauci believes this' implies the linked tweet contains content attributed to Fauci, but that content is not reproduced here.
- Asserted, not shown
The content of the linked @TPostMillennial tweet is accurately characterized by @CoryRove's framing.
The linked source is not reproduced in this document; its content cannot be verified from this text alone.
- Dec 6, 2021
@CoryRove: 1 in 2680 young men develop acute myocarditis/pericarditis in adolesce
news article · secondary · @CoryRove (Twitter user)
A tweet by @CoryRove sharing a link to a Substack post authored by @RWMaloneMD, with a paraphrased headline about myocarditis/pericarditis rates in young men following Comirnaty vaccination in Hong Kong.
- Documented
The tweet text states a rate of 1 in 2680 young men developing acute myocarditis/pericarditis in adolescents following Comirnaty vaccination in Hong Kong.
“1 in 2680 young men develop acute myocarditis/pericarditis in adolescents following Comirnaty vaccination in Hong Kong”✓ verified verbatim
- Documented
The tweet attributes the claim to @RWMaloneMD and links to a Substack post on rwmalonemd.substack.com.
“by @RWMaloneMD https://rwmalonemd.substack.com/p/1-in-2680-young-men-develop-acute”✓ verified verbatim
- Asserted, not shown
The statistical claim (1 in 2680) originates from a source other than this tweet itself.
The tweet reproduces a headline-style claim and links to an external Substack post; no underlying data, methodology, or primary source document is included in or reproduced within the tweet text.
- Inferred
The tweet is functioning as a promotional share of external content rather than an independent analysis.
Inference: The tweet contains only a paraphrased headline and a URL with utm tracking parameters indicating a web/Twitter referral, suggesting the user is amplifying rather than independently reporting the claim.
- Dec 5, 2021
@CoryRove: @Rex60242703 @pfizer Or 1223 deaths… not exactly safe or effective. ht
news article · secondary · @CoryRove (Twitter/X user)
A tweet by user @CoryRove replying to others, claiming a figure of 1223 deaths and characterizing a product (apparently Pfizer's) as neither safe nor effective, with an attached image and an external link.
- Documented
The tweet claims a figure of 1223 deaths associated with Pfizer.
“Or 1223 deaths… not exactly safe or effective.”✓ verified verbatim
- Documented
The tweet is a reply directed at users @Rex60242703 and @pfizer.
“@Rex60242703 @pfizer Or 1223 deaths… not exactly safe or effective.”✓ verified verbatim
- Inferred
The tweet includes an external link and an attached image, which may be the source for the 1223 deaths figure.
Inference: The tweet contains a URL (https://t.co/N8kLOeSGZU) and an attached image (FFzu0-SX0AQ1E73.jpg); given the context of the claim, these are likely intended as supporting evidence, but their contents are not reproduced in this document.
- Asserted, not shown
The claim that 1223 deaths were caused by or attributed to Pfizer's product is accurate or verified.
The tweet asserts this figure without any underlying data, methodology, or sourcing visible in the tweet text itself; the linked image and URL are not rendered or reproduced here.
- Asserted, not shown
The product referred to is not safe or effective.
This is an evaluative claim made by the tweet's author with no supporting evidence present in the tweet text itself.
- Dec 5, 2021
@CoryRove: @Rex60242703 Lol. Look at you doing research. I am kinda proud you fin
news article · secondary · @CoryRove (Twitter user)
A tweet by @CoryRove responding to another user, making a claim about Pfizer data and a '2.6% cardiac disorder' figure, with a linked URL and attached image.
- Asserted, not shown
The tweet author claims a figure of 2.6% cardiac disorder exists in Pfizer data.
The tweet references an external URL and an attached image (not reproduced in the document text) as apparent support; the underlying data is not included or verifiable from this text alone.
- Documented
The tweet author asserts that some prior research was retracted because 'the data is not all there'.
“Retracting something because the data is not all there is great.”✓ verified verbatim
- Documented
The tweet is directed at user @Rex60242703 and references @pfizer.
“@Rex60242703 Lol. Look at you doing research. I am kinda proud you finally did some.”✓ verified verbatim
- Inferred
The tweet includes an external hyperlink and an attached image that may contain the referenced Pfizer data.
Inference: The presence of a URL (https://t.co/MGho3W7p0B) and an attached image filename (FFzujqdXsAA45EQ.jpg) suggests the author is pointing to external sources as evidence, but those sources are not reproduced here.
- Dec 1, 2021
@CoryRove: @LauriHWilliams @TakeThatChem @MarshaKimball9 @frugalsues @arduatendit
news article · secondary · @CoryRove (Twitter/X user)
This document is a tweet by the account @CoryRove, posted in reply to @LauriHWilliams, making claims about Florida COVID death counts and post-vaccine deaths, with a linked image.
- Documented
The tweet asserts that Florida has the lowest counts in some unspecified metric.
“FL does have the lowest counts and you are right there are more deaths after the vaccine came out than before.”✓ verified verbatim
- Asserted, not shown
The tweet asserts that there are more deaths after the vaccine came out than before.
The tweet makes this claim but provides no data or methodology within the text itself. The linked image (https://t.co/It6NSAvBiz) is referenced but its content is not reproduced in the document text and cannot be evaluated here.
- Documented
The tweet is a reply directed at @LauriHWilliams and copies numerous other Twitter accounts.
“@LauriHWilliams @TakeThatChem @MarshaKimball9 @frugalsues @arduatendit @CyaeghaUK @scalefree @cyberdyne @DiB1017 @2_being_real”✓ verified verbatim
- Inferred
The tweet includes an attached image file (FFfORt-XwAAwzXd.jpg), which may contain supporting data referenced by the claims.
Inference: The presence of an attached media file alongside statistical claims suggests the image may be intended as supporting evidence, but the image content is not reproduced in the document text and cannot be verified.
- Nov 29, 2021
@CoryRove: @Deecee526 The vaccine works but it’s efficacy drops rapidly to nothin
other · secondary · @CoryRove (Twitter user)
A tweet in which the user @CoryRove replies to @Deecee526, making claims about vaccine efficacy and referencing an external website.
- Asserted, not shown
The author claims the vaccine works but that its efficacy drops rapidly to nothing after 6 months.
The tweet states this as fact but provides no data, study, or evidence within the document itself to demonstrate it.
- Asserted, not shown
The author claims there are other therapies that also work.
No supporting evidence, identification of therapies, or data is provided within the tweet itself.
- Documented
The author cites C19early.com as a source.
“There are other therapies that also work. http://C19early.com”✓ verified verbatim
- Documented
The tweet is a reply directed at another user.
“@Deecee526 The vaccine works but it's efficacy drops rapidly to nothing after 6 months.”⚠ not machine-verified
- Inferred
The content of C19early.com supports the claims made in the tweet.
Inference: The link is cited as if it corroborates the claims, but the document does not reproduce or summarize the linked content, so the link's relevance or support cannot be verified from this document alone.
- Nov 27, 2021
@CoryRove: This study shows the vaccines don’t do what was promised and are usele
news article · secondary · @CoryRove (Twitter/X user)
A tweet in which user @CoryRove characterizes a linked SSRN preprint study as contradicting vaccine efficacy promises and critiques the study's conclusion recommending a third booster dose.
- Documented
The tweet author claims the linked study shows vaccines 'don't do what was promised and are useless after 6 months'
“This study shows the vaccines don't do what was promised and are useless after 6 months…”⚠ not machine-verified
- Documented
The tweet author claims the study concludes with a recommendation for a third booster dose
“but concludes with "This strengthens the evidence-based rationale for administration of a third booster dose."”⚠ not machine-verified
- Documented
The tweet author implies the booster dose recommendation is internally inconsistent or self-defeating given the study's own findings
“which would only last 6 months. 🤡world”✓ verified verbatim
- Asserted, not shown
The linked SSRN paper supports the tweet author's characterizations of its findings and conclusions
The SSRN paper is linked but not reproduced in this document; its actual content, methodology, and conclusions cannot be verified from the tweet alone
- Inferred
The tweet author views the study's booster recommendation as logically inconsistent with its own data
Inference: The 'clown world' emoji and rhetorical framing ('which would only last 6 months') indicate the author reads the booster recommendation as self-undermining, but the document does not explicitly state this logical argument in full
- Nov 26, 2021
@CoryRove: @Rex60242703 … the variant was discovered in fully vaccinated people.
news article · secondary · @CoryRove (Twitter/X user)
A tweet in which a Twitter user asserts, in reply to another user, that an unspecified variant was discovered in fully vaccinated people, and links to a third-party tweet as a source.
- Documented
The tweet author claims the variant was discovered in fully vaccinated people.
“the variant was discovered in fully vaccinated people.”✓ verified verbatim
- Documented
The tweet is a reply directed at user @Rex60242703.
“@Rex60242703 … the variant was discovered in fully vaccinated people.”✓ verified verbatim
- Documented
The author cites an external tweet by @AnonUKCitizen as the basis for the claim.
“https://x.com/AnonUKCitizen/status/1464165863137886217”✓ verified verbatim
- Asserted, not shown
The claim about vaccinated people and the variant is supported by underlying evidence.
The document provides only a link to another tweet; the content, sourcing, and reliability of that linked tweet are not reproduced here and cannot be evaluated from this document alone.
- Inferred
The tweet is responding to a conversation already in progress about a specific variant.
Inference: The reply structure (@Rex60242703) and use of 'the variant' with a definite article imply a prior conversational context establishing which variant is meant, but that context is not present in this document.
- Nov 26, 2021
@CoryRove: @Rex60242703 More scientists speak up daily. Point to the science that
news article · secondary · @CoryRove (Twitter/X user)
A Twitter/X post in which user @CoryRove responds to another user by asserting that scientists are speaking up and challenging an interlocutor to provide counter-evidence, while linking to a tweet by @RWMaloneMD.
- Documented
The tweet author claims that more scientists are speaking up daily.
“More scientists speak up daily.”✓ verified verbatim
- Documented
The tweet author characterizes their own argument as potentially involving cherry-picking of science.
“since I'm cherry picking it should be easy”⚠ not machine-verified
- Documented
The tweet author implies that a 'leaky vaccine' is responsible for some unspecified outcome and challenges the interlocutor to provide science refuting that claim.
“Point to the science that says it's not the leaky vaccine”⚠ not machine-verified
- Inferred
The tweet is directed at user @Rex60242703 as part of an ongoing conversation.
Inference: The '@Rex60242703' mention at the start of the tweet indicates a reply to that user, implying a prior exchange, though the prior exchange is not included in this document.
- Asserted, not shown
The linked tweet by @RWMaloneMD supports the claim about scientists speaking up or about 'leaky vaccines'.
The content of the linked tweet (https://x.com/RWMaloneMD/status/1428324275602272264) is not reproduced in this document; its substance, accuracy, or relevance cannot be evaluated from this text alone.
- Asserted, not shown
The claim that 'more scientists speak up daily' is factually accurate.
The document offers no evidence, data, or citation beyond a link to a single external tweet to support this quantitative claim.
- Nov 26, 2021
@CoryRove: It’s not the government enforcing the mandates it’s everyday people. U
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove expressing a personal opinion that individuals rather than government are responsible for enforcing COVID-related mandates, and urging others to stop masking and boosters.
- Documented
The tweet author asserts that everyday people, not the government, are enforcing mandates.
“It's not the government enforcing the mandates it's everyday people.”⚠ not machine-verified
- Documented
The tweet author characterizes masks as useless.
“Take off the useless mask”✓ verified verbatim
- Documented
The tweet author urges others to stop taking boosters.
“stop the boosters.”✓ verified verbatim
- Documented
The tweet links to another tweet by @Revelation2041 as a cited source or reference.
“https://x.com/Revelation2041/status/1463955258925854720”✓ verified verbatim
- Asserted, not shown
The referenced @Revelation2041 tweet contains content relevant to the claims made.
The text of the linked tweet is not included in this document; its content cannot be evaluated.
- Asserted, not shown
The claim that masks are useless reflects a personal opinion rather than a cited evidentiary basis.
No evidence, data, or sourcing is provided within the tweet to support the characterization of masks as useless.
- Nov 26, 2021
@CoryRove: The leaky vaccines are creating the variants… WAKE UP! https://t.co/EE
news article · secondary · @CoryRove (Twitter/X user)
This document is a tweet by a Twitter user asserting a causal claim about vaccines and variants, linking to a third-party tweet as a cited source.
- Documented
The tweet's author asserts that 'leaky vaccines' are creating variants.
“The leaky vaccines are creating the variants… WAKE UP!”✓ verified verbatim
- Documented
The tweet links to a @disclosetv tweet as its cited source for the claim.
“https://x.com/disclosetv/status/1464217173635829766”✓ verified verbatim
- Asserted, not shown
The underlying @disclosetv tweet's content supports or substantiates the causal claim made.
The linked source is not reproduced in this document; its content, reliability, and evidentiary value cannot be assessed from this text alone.
- Inferred
The author intends the claim as a serious or urgent warning to readers.
Inference: The capitalized 'WAKE UP!' and exclamation marks suggest rhetorical urgency, but the document does not explicitly state the author's intent or credentials.
- Nov 23, 2021
@CoryRove: @jlevinscherz @jeremyfaust @JAMA_current Covid is deadlier with co mor
other · secondary · @CoryRove (Twitter/X user)
This document is a Twitter reply by user @CoryRove to a conversation involving @jlevinscherz, @jeremyfaust, and @JAMA_current, making claims about COVID mortality, comorbidities, and a graph.
- Asserted, not shown
The tweet author asserts that COVID is deadlier in the presence of comorbidities.
The tweet states this as fact but provides no data, citation, or exhibit within the tweet text itself to demonstrate it.
- Documented
The tweet author claims that a spike in the attached image coincides with the first COVID spike.
“That spike coincides with the first spike.”✓ verified verbatim
- Documented
The tweet author expresses interest in seeing the graph extended beyond its current endpoint.
“I would be interested in the graph being continued because it stops when the vax comes out.”✓ verified verbatim
- Documented
The tweet includes an attached image (FE5xeSOXwAwUeyX.jpg) and an external link.
“https://t.co/PhucfqEJnI”✓ verified verbatim
- Inferred
The graph referenced stops at approximately the time COVID vaccines became available.
Inference: The author states the graph 'stops when the vax comes out,' implying its endpoint corresponds to vaccine rollout, but the graph's actual content is not readable from the text alone.
- Nov 23, 2021
@CoryRove: @agis_age @jjsreturn @jamesleewright2 @KenSmith1212 @thehill The actua
news article · secondary · @CoryRove (Twitter/X user)
This document is a single tweet by @CoryRove making a claim about actuarial calculations regarding vaccine safety and linking to another tweet by @RWMaloneMD as purported support.
- Documented
The tweet asserts the existence of an actuarial calculation that proves the vaccine is deadlier than COVID for young people.
“The actuary calc that proves the vaccine is deadlier than covid for young people.”✓ verified verbatim
- Documented
The tweet links to a tweet by @RWMaloneMD as the source for this claim.
“https://x.com/RWMaloneMD/status/1416426039039909894”✓ verified verbatim
- Asserted, not shown
The actuarial calculation referenced is not contained within this document; only a link to an external tweet is provided.
No actuarial data, methodology, or underlying analysis is presented in this tweet. The claim rests entirely on a hyperlink to a third-party tweet not included in this document.
- Documented
The tweet is a reply within a multi-party conversation involving several other Twitter accounts.
“@agis_age @jjsreturn @jamesleewright2 @KenSmith1212 @thehill”✓ verified verbatim
- Inferred
The characterization of the linked content as 'proof' reflects the tweeter's interpretive framing, not a demonstrated evidentiary standard.
Inference: The word 'proves' is the tweeter's own characterization; no methodology or data is reproduced here, so the claim of proof cannot be evaluated from this document alone.
- Nov 23, 2021
@CoryRove: @agis_age @jjsreturn @jamesleewright2 @KenSmith1212 @thehill Not true.
other · secondary · @CoryRove (Twitter user)
A tweet by @CoryRove asserting a negative correlation between vaccine rates and infection rates, with four attached images whose content is not included in the document text.
- Documented
The tweet asserts that countries with higher vaccine rates have higher infection rates.
“Countries with higher vaccine rates have higher infection rates.”✓ verified verbatim
- Documented
The tweet was posted in reply to multiple other Twitter accounts.
“@agis_age @jjsreturn @jamesleewright2 @KenSmith1212 @thehill”✓ verified verbatim
- Documented
The tweet claims to provide supporting evidence via an external URL and four attached images.
“https://t.co/UHTwz1ZTnu”✓ verified verbatim
- Asserted, not shown
The content of the four attached images (FE5IWmfXsAYVeFw.jpg, FE5IWmfXoAgLsGR.jpg, FE5IWnrXsAgWHgI.jpg, FE5IWnrXsAQ9ULo.jpg) is not available in this document.
Image filenames are listed but image content is not reproduced in the document text; no data, charts, or sources from the images can be evaluated.
- Documented
The tweet is responding to a prior claim it characterizes as untrue.
“Not true.”✓ verified verbatim
- Asserted, not shown
The claim that higher vaccine rates correlate with higher infection rates is not demonstrated or evidenced within the document text itself.
The assertion is made without any data, methodology, or sources present in the tweet text; the linked URL and images are not reproduced here.
- Nov 22, 2021
@CoryRove: .@PRider1980, look at the VAERS data... vaccine injuries are not rando
news article · secondary · @CoryRove (Twitter user)
A tweet by @CoryRove directing another user to a Bitchute video and asserting that VAERS data shows vaccine injuries are not random.
- Documented
The tweet directs user @PRider1980 to look at VAERS data via a Bitchute video link.
“.@PRider1980, look at the VAERS data... vaccine injuries are not random. Very odd.”✓ verified verbatim
- Asserted, not shown
The claim that 'vaccine injuries are not random' is asserted without any data, analysis, or evidence presented within the tweet itself.
The tweet references an external Bitchute video as its apparent source; the content of that video is not included in this document and cannot be evaluated here.
- Inferred
The tweet is addressed to a specific user, suggesting it is a reply or mention rather than an unprompted broadcast.
Inference: The use of '@PRider1980' at the start of the tweet indicates the post is directed at that specific account, consistent with Twitter reply/mention conventions.
- Nov 17, 2021
@CoryRove: @PRider1980 @Conquis86871254 Did you want to see the risk calculation
news article · secondary · @CoryRove (Twitter/X user)
A tweet in which user @CoryRove asks two other Twitter users whether they want to see a linked PDF purporting to show a risk calculation concluding vaccines are worse than COVID.
- Documented
The tweet was posted by @CoryRove on November 17, 2021, as a reply to @PRider1980 and @Conquis86871254.
“@PRider1980 @Conquis86871254 Did you want to see the risk calculation that says vaccines are worse than covid?”✓ verified verbatim
- Documented
The tweet links to a PDF hosted at skirsch.com under the path /covid/ACIP.pdf.
“http://www.skirsch.com/covid/ACIP.pdf”✓ verified verbatim
- Asserted, not shown
The tweet characterizes the linked PDF as containing a 'risk calculation that says vaccines are worse than covid.'
The PDF itself is not included in this document; the characterization of its contents is the tweet author's claim only and cannot be verified from this text alone.
- Inferred
The tweet is part of a conversation thread rather than an original top-level post.
Inference: The document header states '[In reply to @CoryRove]' and the tweet begins by tagging two other users, indicating it is a reply within an existing thread.
- Nov 17, 2021
@CoryRove: @PRider1980 @Conquis86871254 You can compare generally all you want bu
news article · secondary · @CoryRove (Twitter/X user)
This document is a tweet by @CoryRove replying to @PRider1980 and @Conquis86871254, raising rhetorical questions about comparative COVID-19 metrics between unspecified entities.
- Documented
The tweet is a reply directed at two specific users, @PRider1980 and @Conquis86871254.
“@PRider1980 @Conquis86871254 You can compare generally all you want but you would be wrong to assume so much.”✓ verified verbatim
- Asserted, not shown
The tweet includes an attached image (filename FEaeYWwXIAABOJ-.jpg), the content of which is not described or transcribed in the document text.
The image is referenced as attached media but its contents are not included in the provided text, making any claims it may support unverifiable from this document alone.
- Inferred
The tweet references a comparison being made by the users being replied to, which @CoryRove disputes.
Inference: The phrase 'you can compare generally all you want but you would be wrong to assume so much' implies a prior comparison was made by @PRider1980 or @Conquis86871254, though that prior content is not reproduced here.
- Documented
The tweet raises questions about infection counts, vaccine implementation timing, booster implementation, and mandate timing as relevant variables in an unspecified comparison.
“How many infections did they have compared to us? When did they implement the vaccine compared to us. When did we implement boosters and the mandate?”✓ verified verbatim
- Asserted, not shown
The entities being compared ('they' vs. 'us') are not identified within this document.
No named countries, regions, or groups are specified in the tweet text; the referents of 'they' and 'us' are assumed shared context with the reply thread, which is not included.
- Nov 17, 2021
@CoryRove: @PRider1980 @Conquis86871254 Didn't I say people are working to verify
news article · secondary · @CoryRove (Twitter/X user)
A Twitter reply in which user @CoryRove makes claims about data verification practices and vaccine safety, linking to a YouTube video as a cited source.
- Documented
The tweet author claims to have said that people are working to verify the data, and denies having taken it at face value.
“Didn't I say people are working to verify the data. Did I take it at face value like you just did... nope.”✓ verified verbatim
- Asserted, not shown
The tweet author asserts that multiple studies show the vaccine kills more people than it saves.
The tweet names no specific studies; the only linked source is a YouTube video, not a peer-reviewed study or dataset. No underlying study data is included or reproduced in this document.
- Documented
The tweet author links a YouTube video as the sole supporting reference for the claim about vaccine mortality.
“Multiple studies point to the vaccine killing more people than it saves. https://www.youtube.com/watch?v=WFph7-6t34M&t=15684s”✓ verified verbatim
- Documented
The tweet is a reply directed at @PRider1980, with @Conquis86871254 also mentioned.
“@PRider1980 @Conquis86871254”✓ verified verbatim
- Inferred
The tweet author appears to be criticizing @PRider1980 for citing 'bedbugs' as meaningful evidence, suggesting a prior exchange about credibility of sources.
Inference: The phrase 'You cited the bedbugs like it was meaningful' implies a prior conversation in which @PRider1980 referenced something about bedbugs; this prior exchange is not reproduced in this document.
- Nov 15, 2021
@CoryRove: @Rocketstar_ What’s worse is the leaky vaccine is creating the variant
news article · secondary · @CoryRove (Twitter/X user)
This document is a tweet by the user @CoryRove asserting a claim about vaccines and variants, and linking to another tweet by @RWMaloneMD as a cited source.
- Documented
The tweet asserts that a 'leaky vaccine' is creating variants.
“What's worse is the leaky vaccine is creating the variants.”⚠ not machine-verified
- Documented
The tweet was posted in reply to another user, @Rocketstar_.
“@Rocketstar_ What's worse is the leaky vaccine is creating the variants.”⚠ not machine-verified
- Documented
The tweet cites a tweet by @RWMaloneMD as support for its claim.
“https://x.com/RWMaloneMD/status/1460250565460570115”✓ verified verbatim
- Asserted, not shown
The linked @RWMaloneMD tweet substantiates the claim that leaky vaccines create variants.
The content of the linked tweet is not included in this document; only the URL is present. The claim is not demonstrated by this document itself.
- Asserted, not shown
The claim that vaccines cause variants is scientifically valid.
The document asserts this but provides no evidence, data, or methodology within its own text. The linked external source is not reproduced here.
- Nov 15, 2021
@CoryRove: @Rocketstar_ Equivalence fallacy. Vaccine science works, but not all v
news article · secondary · @CoryRove (Twitter/X user)
This document is a single tweet by @CoryRove replying to @Rocketstar_, asserting an equivalence fallacy and linking to a tweet by @RWMaloneMD.
- Documented
The tweet characterizes a prior argument as committing an equivalence fallacy.
“Equivalence fallacy.”✓ verified verbatim
- Documented
The tweet asserts that vaccine science works but that not all vaccines work.
“Vaccine science works, but not all vaccines work…”✓ verified verbatim
- Documented
The tweet links to a tweet by the account @RWMaloneMD as a cited source.
“https://x.com/RWMaloneMD/status/1459919973246246918”✓ verified verbatim
- Documented
The tweet is a reply directed at @Rocketstar_.
“@Rocketstar_”✓ verified verbatim
- Inferred
The linked @RWMaloneMD tweet is being invoked to support the claim that not all vaccines work.
Inference: The ellipsis after 'not all vaccines work' leads directly into the link, suggesting the link is offered as evidence or illustration of that claim, but the document does not state this explicitly.
- Asserted, not shown
The content of the @RWMaloneMD tweet supports @CoryRove's argument.
The linked tweet is not reproduced in this document; its content, context, and relevance cannot be assessed from this text alone.
- Nov 15, 2021
@CoryRove: Keep in mind the vaccine does not prevent transmission… https://t.co/p
news article · secondary · @CoryRove (Twitter/X user)
This document is a tweet by the user @CoryRove consisting of a single editorial comment and a link to a New York Times tweet, without reproducing any underlying source content.
- Asserted, not shown
The tweet author asserts that 'the vaccine does not prevent transmission'
The tweet makes a factual claim about vaccine transmission prevention but provides no evidence, data, or supporting text within the document itself; only a link to an external NYT tweet is included.
- Documented
The tweet links to a New York Times tweet as an apparent supporting source
“Keep in mind the vaccine does not prevent transmission… https://x.com/nytimes/status/1459930407315689479”✓ verified verbatim
- Inferred
The content of the linked New York Times tweet is not reproduced in this document
Inference: The document contains only a URL to the NYT tweet, not its text; therefore no claims from that source can be evaluated from this document alone.
- Nov 10, 2021
@CoryRove: Remember when China faked people collapsing because of covid and every
news article · secondary · @CoryRove (Twitter/X user)
This document is a tweet by @CoryRove making a comparative claim about alleged staged COVID collapses in China and collapses purportedly linked to COVID vaccination, linking to another tweet as its only source.
- Asserted, not shown
The tweet author claims China faked people collapsing due to COVID.
The tweet asserts this as fact but provides no evidence, documentation, or primary source within the tweet itself to substantiate the claim.
- Asserted, not shown
The tweet author claims people are actually collapsing after receiving COVID vaccines.
The tweet asserts this as fact but provides no data, medical records, or verified reporting within the tweet itself; the only citation is a link to another tweet.
- Documented
The tweet links to another Twitter/X post by @alienmushroom22 as its sole cited source.
“https://x.com/alienmushroom22/status/1457856145637486600”✓ verified verbatim
- Inferred
The linked source is itself a tweet, not a primary evidentiary document.
Inference: The URL structure (x.com/[username]/status/[id]) identifies the linked source as a Twitter/X post, which is a social media item rather than a primary evidentiary record such as a dataset, study, or official report.
- Nov 8, 2021
@CoryRove: The risks can been calculated and have been. Vaccine is riskier that c
news article · secondary · @CoryRove (Twitter/X user)
This document is a tweet by the account @CoryRove asserting a claim about relative vaccine and COVID risk for children, and linking to another tweet by @DrKellyVictory as a cited source.
- Documented
The tweet asserts that the vaccine is riskier than COVID for kids.
“Vaccine is riskier that covid for kids.”✓ verified verbatim
- Documented
The tweet asserts that risks have been calculated.
“The risks can been calculated and have been.”✓ verified verbatim
- Documented
The tweet cites a tweet by @DrKellyVictory as the basis for its claim.
“https://x.com/DrKellyVictory/status/1457166418483548160”✓ verified verbatim
- Asserted, not shown
The underlying @DrKellyVictory tweet contains data or analysis supporting the claim about comparative risk.
The linked tweet's content is not reproduced in this document; its substance, methodology, or sourcing cannot be evaluated from the text provided here.
- Asserted, not shown
The author (@CoryRove) has reviewed or evaluated the cited calculations personally.
The tweet states risks 'have been' calculated but does not identify who performed the calculations, what methodology was used, or provide any data within the document itself.
- Aug 13, 2021
@CoryRove: @Alexandradal1 @DonaldJTrumpJr @nytimes I should not credit only him,
news article · secondary · @CoryRove (Twitter user)
A tweet by @CoryRove responding to a conversation involving @Alexandradal1, @DonaldJTrumpJr, and @nytimes, partially quoting a claim about mRNA vaccine credit and linking to an external article.
- Documented
The tweet author acknowledges they should not credit only one person for mRNA vaccines.
“I should not credit only him, you are right there.”✓ verified verbatim
- Documented
The tweet includes a quoted statement attributing mRNA vaccine achievement to collaborative efforts.
“the achievement of the mRNA vaccines of today is the accomplishment of a lot of collaborative efforts.”✓ verified verbatim
- Documented
The tweet author represents themselves as data-driven in their approach.
“I try and follow the data.”✓ verified verbatim
- Inferred
The quoted statement ('He said he is but also said...') refers to an unnamed individual who both claimed personal credit and acknowledged collaborative efforts.
Inference: The pronoun 'he' is used without naming the subject in this tweet text; the identity must be inferred from context or the linked external article, neither of which is fully provided here.
- Asserted, not shown
The linked external article (eontimes.com) supports the claims made in the tweet.
The URL is cited but the content of the linked article is not included in this document; its substance cannot be verified from the tweet alone.
- Aug 13, 2021
@CoryRove: @Alexandradal1 @DonaldJTrumpJr @nytimes Vaccines are causing blood clo
news article · secondary · @CoryRove (Twitter user)
This document is a tweet by a Twitter user asserting that vaccines cause blood clots and linking to a third-party website article as a cited source.
- Documented
The tweet asserts that vaccines are causing blood clots.
“Vaccines are causing blood clots....”✓ verified verbatim
- Documented
The tweet cites an external URL at thetattyjournal.org as support for the claim.
“https://thetattyjournal.org/2021/07/19/canadian-doctor-62-of-his-patients-vaccinated-for-covid-have-permanent-heart-damage-microscopic-blood-clots/”✓ verified verbatim
- Documented
The tweet is a reply in a conversation involving @Alexandradal1, @DonaldJTrumpJr, and @nytimes.
“@Alexandradal1 @DonaldJTrumpJr @nytimes”✓ verified verbatim
- Asserted, not shown
The claim that vaccines cause blood clots is supported by a Canadian doctor's findings.
The linked external article is not reproduced in this document; its content, methodology, and credibility cannot be evaluated from the tweet alone.
- Inferred
The tweet is part of a broader ongoing conversation rather than an initiating post.
Inference: The tweet is addressed to multiple handles and labeled 'In reply to @CoryRove', suggesting it is part of a thread, though the prior posts in the thread are not included.
- Aug 13, 2021
@CoryRove: @Alexandradal1 @DonaldJTrumpJr The inventor of mRNA vaccines thinks th
news article · secondary · @CoryRove (Twitter/X user)
A tweet by @CoryRove responding to other users, asserting claims about mRNA vaccines, mutations, masks, and critiquing a New York Times article, while linking to a tweet by @rwmalonemd.
- Documented
The tweet author claims that 'the inventor of mRNA vaccines' believes mRNA vaccines are causing mutations.
“The inventor of mRNA vaccines thinks they are causing the mutations.”✓ verified verbatim
- Documented
The tweet author characterizes a New York Times article as 'a terrible opinion piece.'
“your science is a terrible opinion piece from @NYTimes.”✓ verified verbatim
- Documented
The tweet author claims to have cited dozens of scientific papers on masks.
“I cited dozens of scientific papers on masks and I can't find the source data in NYT article”✓ verified verbatim
- Documented
The tweet author links to a tweet by @rwmalonemd as a supporting source.
“https://x.com/rwmalonemd/status/1422942319892914177?s=21”✓ verified verbatim
- Inferred
The referenced @rwmalonemd tweet is the basis for the claim about 'the inventor of mRNA vaccines,' implying the author identifies @rwmalonemd as that inventor.
Inference: The author links @rwmalonemd's tweet immediately after the claim about 'the inventor of mRNA vaccines,' suggesting @rwmalonemd is being identified as that person, but the document does not explicitly state this equation.
- Asserted, not shown
The tweet author asserts that 'the data does not look good' regarding mRNA vaccines.
No data, dataset, or study is included in or reproduced within this tweet; the claim is made without any supporting evidence visible in the document itself.
- Asserted, not shown
The tweet author claims to have cited dozens of scientific papers on masks.
No scientific papers are attached, quoted, or reproduced in this tweet; the cited papers are referenced only by the author's assertion.
- Asserted, not shown
The tweet author claims the NYT article lacks source data.
The NYT article is not reproduced or linked in this document; the claim about missing source data cannot be verified from this tweet alone.
- Aug 11, 2021
@CoryRove: @Alexandradal1 @DonaldJTrumpJr Point to another study about long term
other · secondary · @CoryRove (Twitter user)
A tweet by @CoryRove challenging interlocutors to provide studies on long-term vaccine immunity and asserting masks do not work, with a link to a LifeSiteNews article.
- Documented
The tweet user challenged the other parties to point to a study about long-term vaccine immunity.
“Point to another study about long term vaccine immunity? I'm open to all science and you say your definition is different so... where's your science?”✓ verified verbatim
- Documented
The tweet asserts that masks do not work.
“Masks don't work....”✓ verified verbatim
- Documented
The tweet links to a LifeSiteNews article claiming 47 studies confirm mask ineffectiveness and 32 more confirm negative health effects.
“https://www.lifesitenews.com/news/47-studies-confirm-inefectiveness-of-masks-for-covid-and-32-more-confirm-their-negative-health-effects/”✓ verified verbatim
- Documented
The tweet is a reply directed at @Alexandradal1 and @DonaldJTrumpJr.
“@Alexandradal1 @DonaldJTrumpJr”✓ verified verbatim
- Asserted, not shown
The content of the linked LifeSiteNews article, and whether the studies cited therein actually support the claims made, is not established by this document.
The tweet links to an external URL but the article's content, methodology, and sourcing are not reproduced in this document and cannot be evaluated from the tweet alone.
- Inferred
The tweet user may be responding to a prior conversational exchange about vaccine immunity definitions.
Inference: The phrase 'you say your definition is different' implies a preceding exchange about definitions, but that prior exchange is not present in this document.
- Jul 28, 2021
@CoryRove: Blasio says the voluntary vaccine phase is over implying there is more
news article · secondary · @CoryRove (Twitter/X user)
This document is a tweet by a user named @CoryRove commenting critically on a statement attributed to 'Blasio' (presumably a public official) regarding a voluntary vaccine phase ending, and linking to a Breaking911 tweet.
- Documented
The tweet author claims that 'Blasio' stated the voluntary vaccine phase is over.
“Blasio says the voluntary vaccine phase is over implying there is more after that these wanna be tyrants can do”✓ verified verbatim
- Documented
The tweet author expresses a critical opinion of the official referenced, characterizing them as a 'wanna be tyrant.'
“these wanna be tyrants can do …. He should read the constitution.”✓ verified verbatim
- Inferred
The tweet author believes the referenced official's actions or statements are unconstitutional.
Inference: The author's instruction that 'He should read the constitution' implies the author believes the official's position conflicts with constitutional limits, though no specific constitutional provision is cited or demonstrated.
- Asserted, not shown
The referenced official actually made the statement attributed to him about the voluntary vaccine phase ending.
The tweet references a Breaking911 tweet as its source, but the content of that source document is not reproduced here; only a link is provided. The underlying statement cannot be verified from this document alone.
- Asserted, not shown
An image was attached to the tweet that may contain additional relevant content.
An attached media file (E7XDRzmWQAoTDki.jpg) is referenced but its contents are not described or reproduced in the document text provided.
- Jun 21, 2021
@CoryRove: “It’s really for the purpose of empowering individuals,” Amy Tong, Dir
news article · secondary · @CoryRove (Twitter user)
A tweet by user @CoryRove expressing critical commentary on a quoted statement by Amy Tong regarding California's vaccine passport, and linking to a third-party article.
- Documented
The tweet attributes a quote about 'empowering individuals' to Amy Tong, identified as Director of the California Department of Technology, in the context of a vaccine passport.
“"It's really for the purpose of empowering individuals," Amy Tong, Dir. of CA Dept of Tech on the vaccine passport.”⚠ not machine-verified
- Documented
The tweet author characterizes Amy Tong's statement as either 'double speak' or a misuse of language.
“Double speak or does she not know the meaning of words?”✓ verified verbatim
- Documented
The tweet author objects to the term 'vaccine passport' not being used, framing this as a redefinition of words and a form of censorship.
“And don't call it a "vaccine passport." Redefining words and censorship all in one.”✓ verified verbatim
- Documented
The tweet links to an article on reclaimthenet.org as a source for the underlying story.
“https://reclaimthenet.org/california-unveils-new-vaccine-passport/”✓ verified verbatim
- Asserted, not shown
The quoted statement by Amy Tong was actually made by her in the context described.
The tweet attributes the quote to Amy Tong but provides no primary source transcript, video, or official record within this document. The linked article is not reproduced here.
- Inferred
The tweet author opposes California's vaccine passport program.
Inference: The critical framing ('double speak,' 'censorship,' 'redefining words') implies disapproval, but the document does not explicitly state the author's overall position on the program.
- Apr 29, 2021
@CoryRove: @mikesasin No vaccine manufacture is liable for damages from the vacci
news article · secondary · @CoryRove (Twitter user)
This document is a tweet in which a Twitter user asserts to another user that vaccine manufacturers bear no liability for vaccine damages and are incentivized to rush products to market, citing a CNBC article.
- Documented
The tweet user asserts that no vaccine manufacturer is liable for damages from their vaccine.
“No vaccine manufacture is liable for damages from the vaccine so this logic is flawed.”✓ verified verbatim
- Asserted, not shown
The tweet user asserts that vaccine manufacturers are encouraged to rush vaccines to market.
The tweet states this as fact but provides no supporting evidence within the tweet itself; the linked CNBC article is not reproduced in this document.
- Documented
The tweet is a reply directed at another user, @mikesasin, apparently disputing that user's prior reasoning ('this logic is flawed').
“No vaccine manufacture is liable for damages from the vaccine so this logic is flawed.”✓ verified verbatim
- Documented
The author cites an external CNBC article published December 16, 2020 as a source for their claims.
“https://www.cnbc.com/2020/12/16/covid-vaccine-side-effects-compensation-lawsuit.html”✓ verified verbatim
- Asserted, not shown
The CNBC article cited supports the specific claims made in the tweet.
The linked article is not reproduced here; whether it substantiates the tweeted claims cannot be determined from this document alone.
- Apr 29, 2021
@CoryRove: @mikesasin @trish_zornio More info... "It is unclear whether COVID-19
news article · secondary · @CoryRove (Twitter user)
A tweet by @CoryRove quoting and linking to a KFF issue brief on COVID-19 vaccine mandates, in reply to another user.
- Documented
The tweet quotes a KFF source stating that it is unclear whether COVID-19 vaccination could be legally mandated under an FDA Emergency Use Authorization, and that current mandates apply to fully FDA-approved vaccines.
“It is unclear whether COVID-19 vaccination could be legally mandated while the FDA's EUA is in place. Current mandates apply to vaccines that have been fully approved by the FDA.”⚠ not machine-verified
- Inferred
The quoted text originates from a KFF issue brief, not from the tweet author's own analysis.
Inference: The tweet uses quotation marks around the text and supplies a KFF URL, indicating the words are attributed to an external source rather than the tweet author.
- Asserted, not shown
The KFF issue brief itself supports the quoted claim about EUA mandates.
The actual KFF document is not reproduced in the tweet text; only a URL is provided. The full context, methodology, and sourcing of the KFF brief cannot be evaluated from this tweet alone.
- Apr 2, 2021
@CoryRove: @jaystooksberry Yes, a passport is useless the way you describe. You d
other · secondary · @CoryRove
A Twitter post in which user @CoryRove responds to @jaystooksberry expressing opposition to vaccine passports and government pandemic restrictions, citing the Declaration of Independence.
- Documented
The tweet author characterizes a passport as useless 'the way you describe,' apparently agreeing with a prior statement by @jaystooksberry.
“Yes, a passport is useless the way you describe.”✓ verified verbatim
- Documented
The tweet author raises the possibility that a vaccine passport could be expanded to cover other viruses.
“You don't think they will expand this passport to include other viruses?”✓ verified verbatim
- Documented
The tweet author asserts the government never had the right to implement lockdowns.
“The gov. never had the right to lock us down.”✓ verified verbatim
- Documented
The tweet author claims the Declaration of Independence does not contain an exception for pandemics regarding liberty.
“The Declaration of Independence does not say, "Liberty...unless there is a pandemic."”✓ verified verbatim
- Documented
The tweet author links to the National Archives page for the Declaration of Independence as a source.
“https://www.archives.gov/founding-docs/declaration”✓ verified verbatim
- Inferred
The tweet is a reply to a prior tweet by @jaystooksberry that contained a description of vaccine passports.
Inference: The '@jaystooksberry' mention and the phrase 'the way you describe' indicate this is a reply, but the prior tweet's content is not included in this document.
- Asserted, not shown
The Declaration of Independence supports the author's argument against pandemic lockdowns.
The author cites the Declaration of Independence URL but does not quote or reproduce any text from it; no passage from the document is provided to substantiate the claim.
- Apr 2, 2021
@CoryRove: @jaystooksberry “If you are vaccinated here are all these freedoms you
other · secondary · @CoryRove (Twitter/X user)
A tweet by user @CoryRove replying to @jaystooksberry, expressing opposition to vaccine passports and criticizing an unnamed woman's understanding of constitutional rights.
- Documented
The tweet author characterizes an unnamed woman as not understanding inalienable constitutional rights.
“She clearly does not understand the inalienable rights laid out in the constitution.”✓ verified verbatim
- Documented
The tweet author characterizes vaccine passports as authoritarian.
“The passport is very authoritarian.”✓ verified verbatim
- Documented
The tweet author predicts ongoing or permanent necessity of the vaccine passport.
“you will then need it forever so...”✓ verified verbatim
- Inferred
The tweet is a reply to a prior post by @jaystooksberry and references content from a linked @TheFirstonTV tweet.
Inference: The '@jaystooksberry' prefix and the linked URL to @TheFirstonTV indicate this is a reply in a conversation thread, but the content of those other posts is not reproduced in this document.
- Asserted, not shown
The unnamed woman made a statement framing vaccinated status as a condition for accessing certain freedoms.
The tweet quotes her as saying 'If you are vaccinated here are all these freedoms you have,' but the source of this quote (the linked @TheFirstonTV tweet) is not reproduced in this document and cannot be verified from this text alone.
- Feb 9, 2021
@CoryRove: @Rex60242703 1. Take these two news articles. The first is the Governo
news article · secondary · @CoryRove (Twitter user)
A tweet by @CoryRove directed at @Rex60242703 referencing a news article about the Iowa Governor lifting COVID mandates, framed as the first of at least two cited sources.
- Documented
The tweet author characterizes the referenced article as being about the Governor of Iowa lifting 'basically all lockdowns and mask mandates' and calling for personal responsibility.
“The first is the Governor of Iowa lifting basically all lockdowns and mask mandates and call for personal responsibility.”✓ verified verbatim
- Documented
The tweet links to a specific article on theblaze.com as its source.
“https://www.theblaze.com/news/iowa-governor-kim-reynolds-lifts-covid-mandates”✓ verified verbatim
- Inferred
The tweet is part of a multi-part argument or thread, with this being the first of at least two cited sources.
Inference: The author labels this source '1.' and references 'these two news articles,' indicating at least one additional source exists in the broader exchange or thread.
- Asserted, not shown
The linked article accurately reports the Iowa Governor's actions as described by the tweet author.
The linked article is not reproduced in this document; only the URL and the tweet author's characterization of it are present.
- Oct 31, 2020
@CoryRove: @RhodesMason @TracyCoon3 @silentrepublic4 @HKrassenstein @realDonaldTr
news article · secondary · @CoryRove (Twitter user)
A tweet by @CoryRove replying to multiple users, sharing an MSN news link and posing rhetorical questions about Kamala Harris and vaccines.
- Documented
The tweet asserts that Democrats are 'not the party of SCIENCE anymore'
“Another reason the dems are not the party of SCIENCE anymore....”✓ verified verbatim
- Documented
The tweet poses a rhetorical question asking whether Kamala Harris is anti-vaccination
“Is Kamala anti vaccination?”✓ verified verbatim
- Documented
The tweet poses a hypothetical question about how 'the left' would react if Pence had said something similar
“What would the left do if Pence said something like this?”✓ verified verbatim
- Documented
The tweet links to an MSN news article about Kamala Harris stating she would not take Trump's word about a coronavirus vaccine
“https://www.msn.com/en-us/news/politics/kamala-harris-says-she-won-t-take-trump-s-word-about-a-coronavirus-vaccine/ar-BB18LruS”✓ verified verbatim
- Asserted, not shown
The linked MSN article's content characterizes Harris as anti-vaccination, as implied by the tweet's framing
The linked article is not reproduced in this document; only its URL is present. The tweet's characterization of the article's content cannot be verified from this document alone.
- Inferred
The tweet author intends the rhetorical questions as criticism of Harris and Democrats rather than genuine inquiry
Inference: The questions are framed alongside a declarative political claim about Democrats and science, suggesting rhetorical rather than literal intent, but the document does not state this explicitly.
- Sep 21, 2020
@CoryRove: Why would looking into vaccine safety be a bad thing or a dead end @Bi
news article · secondary · @CoryRove (Twitter/X user)
This document is a tweet by the user @CoryRove posing a rhetorical question directed at @BillGates about vaccine safety research, with a link to another tweet as its sole cited source.
- Documented
The tweet poses a rhetorical question to @BillGates about why investigating vaccine safety would be considered a bad thing or a dead end.
“Why would looking into vaccine safety be a bad thing or a dead end @BillGates?”✓ verified verbatim
- Documented
The tweet links to another tweet by @Patch_Molly as its sole supporting source.
“https://x.com/Patch_Molly/status/1307721101070364672”✓ verified verbatim
- Inferred
The tweet implies that @BillGates has characterized looking into vaccine safety as a bad thing or a dead end.
Inference: The rhetorical question is directed at @BillGates and presupposes he made such a characterization, but the content of @BillGates's alleged statement is not reproduced in this document and the linked tweet is not included in the provided text.
- Asserted, not shown
The linked @Patch_Molly tweet contains evidence or context supporting the rhetorical claim about @BillGates's position on vaccine safety research.
The linked tweet's content is not included in this document; what it contains or establishes cannot be assessed from the text provided.
- Aug 5, 2020
@CoryRove: @luckystiff4 @harve_007 @Sublux8tor @DrShepherd2013 @StartsWithABang M
other · secondary · @CoryRove (Twitter user)
A tweet by @CoryRove expressing personal opinions about mask mandates, mask efficacy against micro-droplets, and the role of biological material in ecosystems, with a YouTube link as the sole cited source.
- Documented
The author states that masks should not be mandatory.
“Masks shouldn't be mandatory and are not full proof against micro-droplets”✓ verified verbatim
- Documented
The author acknowledges that masks reduce transmission.
“but masks reduce transmission”✓ verified verbatim
- Documented
The author claims air movement clears out micro-droplets.
“Air movement clears out micro-droplets.”✓ verified verbatim
- Documented
The author characterizes sharing of biological material as part of the ecosystem.
“Sharing this bio-material is part of our ecosystem so saying, "Spreading all microdroplets is bad," is wrong.”✓ verified verbatim
- Asserted, not shown
The author links to a YouTube video as supporting evidence for their claims.
The YouTube URL is cited but the content of the video is not included in or reproduced within the document; its relevance or evidentiary value cannot be assessed from this text alone.
- Inferred
The tweet is a reply in a multi-party conversation, suggesting the claims are made in a broader ongoing discussion.
Inference: The metadata shows '@luckystiff4 @harve_007 @Sublux8tor @DrShepherd2013 @StartsWithABang' are tagged and the tweet is labeled 'In reply to @luckystiff4', indicating this is one message in an ongoing thread rather than a standalone statement.