Robert Malone on the Joe Rogan Experience #1757, fact-checked
“there's good modeling studies that probably half a million excess deaths have happened in the United States through the intentional blockade of early treatment by the U.S. government”
What the evidence shows: Robert Malone claimed that modeling studies show approximately 500,000 excess U.S. deaths resulted from the government's intentional blockade of early COVID-19 treatments, referring to hydroxychloroquine and ivermectin. No peer-reviewed modeling study attributing this specific death toll to blocked access to these drugs could be identified. Large randomized controlled trials contradict the premise that these drugs would have prevented mass mortality: the UK RECOVERY trial (over 4,700 hospitalized patients) found hydroxychloroquine produced no mortality benefit and was likely harmful, increasing combined mortality and ventilator use, while a randomized, placebo-controlled trial of ivermectin in both inpatients and outpatients found no significant effect on hospital stay, ICU admission, or mortality, consistent with other major trials. A separate fact-check of a related population-level claim, that ivermectin use reduced COVID-19 mortality in Mexico, found no credible data supporting a causal link. Given the absence of any independently identified modeling study supporting the 500,000 figure and the negative results of rigorous randomized trials for both drugs, the claim is unsupported by current evidence.
“He's put together a great little video clip in which he clearly documents the conspiracy between Janet Woodcock and Rick Bright to make it so that physicians could not administer hydroxychloroquine o…”
What the evidence shows: The FDA issued an emergency use authorization (EUA) for chloroquine and hydroxychloroquine on March 28, 2020 at the request of the Biomedical Advanced Research and Development Authority (BARDA), and revoked it on June 15, 2020. The FDA's public revocation announcement states the decision followed a rigorous assessment by scientists in the Center for Drug Evaluation and Research and cites two grounds: emerging data showing the drugs were unlikely to be effective against COVID-19, including a large randomized trial showing no mortality or recovery benefit in hospitalized patients, and ongoing reports of serious cardiac adverse events, concluding known and potential risks outweighed known and potential benefits. BARDA itself, in consultation with the FDA, sent the letter formally requesting the revocation. No FDA document, court record, or investigative report corroborates a coordinated conspiracy between Janet Woodcock and Rick Bright to restrict hydroxychloroquine to in-hospital use; Rick Bright's own May 2020 whistleblower complaint centered on a different dispute, alleging he was pressured by HHS officials to expand emergency access to hydroxychloroquine against his scientific objections, the opposite of the restriction Malone describes. No independent, allowlisted source corroborating the specific 'documented conspiracy' video was found. The claim is unsupported by the public record and contradicted by the FDA's own stated rationale for the EUA revocation.
“Now, that's false. Hydroxychloroquine was known to be effective against SARS-1.”
What the evidence shows: A 2005 laboratory study (Vincent et al., Virology Journal) found that chloroquine strongly inhibited SARS-CoV-1 infection and spread in primate (Vero E6) cell cultures, with antiviral effects observed when cells were treated either before or after exposure to the virus. This was an in-vitro cell-culture finding, not a clinical trial in humans; the 2003 SARS outbreak subsided before any randomized controlled trial could test chloroquine or hydroxychloroquine against SARS-CoV-1 disease in patients, so no such clinical evidence exists. The study's own conclusion describes chloroquine as effective 'in cell culture,' not as proven clinical therapy. This lab finding was later invoked during the COVID-19 pandemic to argue hydroxychloroquine should work against SARS-CoV-2, but large randomized trials, including the WHO Solidarity trial, found that hydroxychloroquine produced little or no reduction in mortality among hospitalized COVID-19 patients, leading WHO to discontinue that treatment arm in July 2020. Describing hydroxychloroquine as 'known to be effective' against SARS-1 therefore overstates a preliminary cell-culture result as established clinical fact.
“it is bizarre that Merck would come out with these explicit statements about the safety of ivermectin. Both ivermectin and hydroxy are on the WHO list of essential medicines”
What the evidence shows: Robert Malone characterized Merck's February 2021 statement on ivermectin as bizarre given that ivermectin and hydroxychloroquine appear on the WHO Essential Medicines List. Merck's statement, issued February 4, 2021, said its scientists found "no scientific basis for a potential therapeutic effect against COVID-19," "no meaningful evidence for clinical activity or clinical efficacy in patients with COVID-19," and "a concerning lack of safety data" in most available studies of ivermectin for that specific use. WHO confirms ivermectin is listed as an essential medicine for parasitic diseases such as river blindness, strongyloidiasis, and scabies, not for COVID-19; WHO's own review of randomized controlled trials found the evidence on ivermectin for COVID-19 to be of "very low certainty" and recommended its use only within clinical trials pending more data. Inclusion on the WHO Essential Medicines List reflects an established, unrelated indication and does not constitute evidence of safety or efficacy for a novel use such as COVID-19 treatment; regulatory and manufacturer statements distinguishing approved indications from unproven new ones are standard practice, not an anomaly. The claim that Merck's position was inexplicable or contradicted by the drug's WHO-listed status is misleading, as it conflates two separate questions: general essential-medicine status for known indications versus safety/efficacy evidence for an unstudied use.
“there was a specific visit of Biden to Modi and a decision was made in the Indian government not to disclose the contents of those packages that were being deployed in Uttar Pradesh”
What the evidence shows: Malone claimed on this episode that a Biden-Modi meeting was followed by an Indian government decision to withhold the contents of a COVID-19 treatment package distributed in Uttar Pradesh, which he suggested included ivermectin. No documentation exists of a Biden-Modi meeting or communication tied to India's Uttar Pradesh treatment protocol, and Malone himself told Rogan on this episode that he did not know what was discussed between the two leaders, only that a non-disclosure decision followed "immediately afterwards." Separately, Uttar Pradesh's home-treatment kit contents, including ivermectin, were not secret: the state government publicly credited its ivermectin-based protocol for its case decline as early as May 2021 reporting, and government officials stated the protocol began in August 2020, well before any Biden-Modi contact would be relevant. Fact-checkers, including PolitiFact, found no scientific basis for claims that ivermectin drove Uttar Pradesh's case decline, citing the absence of randomized controlled trial evidence, unresolved questions about India's COVID case data, and national guidance against using ivermectin outside clinical trials. The claim of a hidden, Biden-linked disclosure decision is unsupported by any documented evidence.
“that study in Israel, which is like, what, 2.5 million people, I think, they said that it's between six and 13 times more effective than the vaccine. That is six or 13 times more effective in prevent…”
What the evidence shows: Malone is referencing Gazit et al., a retrospective cohort study from Israel's Maccabi Healthcare Services (posted as a preprint in August 2021 and later peer-reviewed and published in Clinical Infectious Diseases in 2022), which compared previously infected, unvaccinated people to vaccinated, previously uninfected people during a Delta-variant period in mid-2021. The study's own abstract states its population as 124,500 persons, not 2.5 million as Malone states. The 13.06-fold, 5.96-fold, and 27.02-fold figures reported in the study measured the risk of breakthrough infection or symptomatic disease, not hospitalization; the study explicitly reports that COVID-19-related hospitalizations were too few in number (single digits to low teens in each comparison arm) to allow a statistically significant comparison, and it does not report a '6-13x' or '27-fold' figure for hospitalization prevention specifically. As an observational study, it was also subject to confounders such as differing timing of infection versus vaccination and differential healthcare-seeking or testing behavior between groups, which the authors partially addressed with sensitivity analyses. A CDC-led case-control analysis from Kentucky published the same month found that vaccination provided added protection against reinfection even among the previously infected, indicating the relative-protection picture is more mixed than a single large multiplier implies. The specific hospitalization-effectiveness figures Malone cites are not supported by the cited study's actual reported results.
“What they did with that was a very small study with intrinsic bias all over the place, much, much smaller than the Israeli study that you're citing, much less rigorous, less statistical power”
What the evidence shows: The CDC study Malone references is a 2021 MMWR case-control analysis from Kentucky (Cavanaugh et al.) that matched 246 reinfected case-patients with 492 controls (738 total) and found unvaccinated previously-infected residents had 2.34 times the odds of reinfection versus fully vaccinated previously-infected residents (95% CI, 1.58-3.47). The Israeli study commonly cited in this debate (Gazit et al., published in Clinical Infectious Diseases, 2022) analyzed a much larger cohort of 124,500 people and found naturally acquired immunity conferred stronger protection against Delta-variant infection and symptomatic disease than two-dose BNT162b2 vaccination. Malone's characterization of the size difference is accurate: the Kentucky study's sample (738) is roughly 170 times smaller than the Israeli cohort (124,500), a genuine statistical-power disparity, and the Israeli study's confidence intervals are comparatively tighter. However, his framing implies the CDC finding should be dismissed as an outlier; in fact several other CDC and peer-reviewed studies from the same period independently found that vaccination added measurable protection on top of prior infection, so the evidence across studies is mixed rather than resolved in favor of natural immunity alone. Neither study has been retracted.
“The only way that I can understand how all of this messaging, censorship, deplatforming, track is Tony Fauci canceling the esteemed virologist Peter Duesberg because he was raising questions about th…”
What the evidence shows: Peter Duesberg, a molecular biologist and member of the National Academy of Sciences, argued beginning in 1987 that HIV does not cause AIDS, a hypothesis contradicted by decades of subsequent epidemiological, virological, and clinical evidence establishing HIV as the cause of AIDS. A 2025 peer-reviewed review in AIDS and Behavior describes Duesberg's marginalization as the result of the broader scientific community reviewing and rejecting his hypothesis as contrary evidence accumulated, stating researchers largely "ignored" his publications as he moved from the mainstream, rather than depicting a personal campaign directed by Anthony Fauci. That same review traces the specific "Fauci canceled Duesberg" framing to Robert F. Kennedy Jr.'s 2021 book "The Real Anthony Fauci" and analyzes it as a recurring science-denial narrative trope rather than a documented historical episode. No primary historical record or peer-reviewed source corroborates a specific Fauci-orchestrated effort to silence Duesberg; available evidence shows Duesberg continued publishing and advocating his view for years, including co-founding an advocacy group in 1991, while losing scientific credibility through ordinary peer scrutiny and accumulating contrary data. The evidentiary status of Malone's specific causal claim is unsupported.
“the hospitals receive a bonus from the government. I think it's like $3,000 if someone is hospitalized and able to be declared COVID positive. They also receive a bonus. I think the total is somethin…”
What the evidence shows: The CARES Act (2020) added a 20% Medicare payment bonus on top of standard diagnosis-related-group (DRG) rates for inpatient COVID-19 cases, and separately funded reimbursement, at Medicare rates, for treating uninsured COVID-19 patients. A similar claim (from Minnesota state senator Scott Jensen, citing $13,000 for a COVID-19 admission and $39,000 if the patient goes on a ventilator) was examined by FactCheck.org, which found the figures roughly matched Kaiser Family Foundation estimates of average Medicare payments for the relevant DRGs ($13,297 for a respiratory hospitalization with major complications; $40,218 for a respiratory case requiring over 96 hours of ventilator support) but reflect total treatment reimbursement rather than a discrete per-action "bonus" for a COVID diagnosis or for placing a patient on a ventilator. Health-policy experts quoted by FactCheck.org, from UCLA's Center for Health Policy Research and the Urban Institute, said there is no evidence hospitals are inflating COVID-19 diagnoses or ventilator use for financial gain, noted hospitals face civil and criminal liability for upcoding, and said hospital revenues generally fell during the pandemic because elective procedures, a key revenue source, were suspended. Malone's specific figures ($3,000 and $30,000) are lower than but in the same range as those commonly cited, and the underlying characterization, that a discrete "bonus" is paid, has been repeatedly found by fact-checkers to conflate standard treatment reimbursement with an incentive to misclassify patients.
“the Maddie DeGerry case, this young woman who was listed as having a stomach ache that participated in the Pfizer trials, when in fact what she had was a seizure, and she's now wheelchair-bound with…”
What the evidence shows: Maddie de Garay, then 12, was a real participant in Pfizer's 2020-2021 Phase 2/3 trial of BNT162b2 in 12-to-15-year-olds (roughly 1,131 vaccinated adolescents), and she developed a severe, disabling illness after her second dose that has left her using a wheelchair and a feeding tube; this much is documented and undisputed. Pfizer's submission to the FDA classified her adverse event as "functional abdominal pain," a characterization the family's attorney and the family have publicly disputed as understating the severity of her condition, and congressional testimony indicates Pfizer did not disclose the full details of her case (wheelchair, feeding tube) to the FDA until months after onset, following public inquiries. The trial's principal investigator concluded her symptoms were not consistent with a vaccine-related adverse event, a determination that testimony states FDA did not independently challenge. Malone's framing that she "had a seizure" goes beyond the documented record: her family and treating clinicians have described diagnoses of functional neurological disorder and, later, chronic inflammatory demyelinating polyneuropathy (CIDP), not a formally diagnosed seizure disorder, so this specific detail appears to be an exaggeration or imprecise recollection layered onto an otherwise real and well-documented case. Status: mixed; the core injury and the disputed "functional abdominal pain" classification are real and corroborated, but the specific "seizure" detail is not substantiated in the available record.
“But Thomson Reuters is tied to Pfizer. They have common corporate ownership and they are the fact checker of Twitter now”
What the evidence shows: Thomson Reuters Corporation and Pfizer Inc. are separately incorporated, independently traded public companies. Neither owns a controlling stake in the other, and there is no parent-subsidiary or common-ownership relationship between them, so the claim of 'common corporate ownership' is false. What is documented is a board interlock: Pfizer's 2018 SEC proxy statement (DEF 14A) lists James C. Smith, President and CEO of Thomson Reuters Corporation, as a Pfizer director since 2014. That is a real, disclosed conflict-of-interest consideration, but it is a single shared board seat, not shared ownership or control, and it does not establish that Pfizer directs or controls Thomson Reuters' fact-checking operations, including any work Reuters has done for Twitter/X. The claim conflates a board interlock with corporate ownership and overstates the resulting control; the overall framing is best characterized as false and misleading.
“Incidence rate is 1 in 2,700. Now, there's all kinds of hand-waving that, oh, myocarditis is mild, and they recover from it, okay? Those statements aren't, let's say, gently based in fact. Historic i…”
What the evidence shows: Malone's approximately 27% mortality figure reflects older case series of severe or fulminant myocarditis of varied (often non-vaccine, non-adolescent) etiology, not the population actually affected by COVID-19 vaccine-associated myocarditis. A 2023 systematic review and meta-analysis in JAMA Pediatrics pooling data on myopericarditis following mRNA COVID-19 vaccination in adolescents and young adults (854 individuals across 23 studies) found that although 92.6% of patients were hospitalized and 23.2% required ICU admission, no patients died or required mechanical circulatory support, and median hospital stay was 2.8 days. A 2023 consensus statement from the Studies Committee of the Portuguese Society of Cardiology similarly concluded that while isolated case reports of fulminant post-vaccination myocarditis exist, death attributable to vaccine-associated myocarditis "remains an exception" across the published literature. The typical course in this population is mild and self-limited with rapid resolution of symptoms, in contrast to the general medical literature on severe fulminant myocarditis of mixed causes (often viral, autoimmune, or toxin-related in adults), from which historic mortality estimates in the 20-30% range originate. Applying a fulminant-myocarditis mortality rate from that unrelated literature to describe the risk of vaccine-associated myocarditis in adolescent boys misrepresents the current evidence base, which shows no observed in-hospital deaths in this specific population.
“The number that keeps getting cited is one in a thousand people have adverse events, including myocarditis. If myocarditis that requires hospitalization is one in 2,700.”
What the evidence shows: Malone stated that myocarditis requiring hospitalization after mRNA COVID-19 vaccination occurs in about 1 in 2,700 recipients. CDC's VAERS-based surveillance, presented to the Advisory Committee on Immunization Practices in June 2021, found myocarditis reporting rates after a second mRNA dose of 62.8 per million in males aged 12-17 (about 1 in 15,900); a subsequent peer-reviewed CDC/FDA analysis published in JAMA (Oster et al., 2022) refined this to 70.7 per million second doses in males 12-15 and 105.9 per million in males 16-17 (roughly 1 in 9,400 to 1 in 14,100). That same JAMA analysis found about 96% of the reported myocarditis cases among people under 30 were hospitalized, mostly for monitoring, with 87% resolving symptoms by discharge, so the hospitalization-specific rate tracks closely with the overall myocarditis rate rather than being a separate, much smaller figure. Across the age and sex strata studied, no published surveillance estimate approaches a rate as high as 1 in 2,700; the best-supported figures for adolescent males are roughly three to five times rarer than the number cited. The claim therefore overstates the frequency of hospitalization-requiring vaccine-associated myocarditis relative to current CDC and peer-reviewed evidence.
“It goes to the ovary at a very high rate, like 11% of the lipids. Now, this wasn't supposed to happen. It was supposed to stay in the arm where it got jabbed, but it doesn't”
What the evidence shows: Pfizer's non-clinical biodistribution study (a rat study using radiolabeled lipid nanoparticles, reproduced in the EMA's Comirnaty assessment report) found that over 48 hours the injection site and liver were the major sites of distribution, with the liver receiving up to 21.5% of the injected dose outside the injection site; the ovaries received substantially less, at a maximum of approximately 0.1% of the injected dose, similar to or lower than the spleen (up to 1.1%) and adrenal glands (up to 0.1%). No vaccine-related macroscopic or microscopic findings were observed in the ovaries in repeat-dose toxicity studies, and no effects on fertility were identified in the developmental and reproductive toxicity (DART) study. The 11% figure cited does not match the percentages reported in the underlying study and appears to misstate the data; the actual ovarian concentration was roughly two orders of magnitude lower than the figure claimed. Current evidence from this study does not support a demonstrated link between vaccination and fertility harm.
“If it causes toxicity, it is, right? It is a toxin by definition. It is – toxin is as a toxin does”
What the evidence shows: Malone has argued since 2021 that the SARS-CoV-2 spike protein produced after vaccination behaves as a toxin, citing its ability to circulate in the blood and interact with cell receptors, platelets, and vascular tissue. Mainstream toxicology defines a toxin as a substance that is directly poisonous at physiological doses through a specific chemical mechanism; by that standard, immunologists and fact-checking organizations have found no evidence that vaccine-generated spike protein meets this definition, noting instead that it triggers an antibody response as intended and that most spike protein remains localized near the injection site rather than circulating systemically in damaging concentrations. FactCheck.org (July 2021) and PolitiFact (June 2021 and January 2022) each reviewed the specific claim that vaccine-produced spike protein is toxic or cytotoxic and concluded there was no evidence supporting that characterization, following consultation with immunologists and vaccine safety researchers. Malone has publicly disputed these fact-checks and continues to maintain the toxin framing, citing biodistribution and neurological studies as support, but this position remains a minority view not reflected in the consensus assessments of major public health and fact-checking bodies. The claim is best described as disputed: it rests on a nonstandard, informal use of 'toxin' that mainstream toxicological and immunological review has not validated as accurate to the vaccine-generated protein's actual behavior in the body.
“there is signs in some data, and we were talking about this just before the broadcast, from Denmark, among other places, of negative efficacy against Omicron as a function of the number of vaccinatio…”
What the evidence shows: The Danish data Malone likely referenced come from a Statens Serum Institut nationwide cohort study (published in PLOS Medicine) estimating COVID-19 vaccine effectiveness (VE) against infection across the Alpha, Delta, and Omicron periods. That study found VE against Omicron infection after two doses fell to near zero over time: 4.4% (95% CI: -0.1 to 8.7) more than 120 days after the second dose, a confidence interval that marginally crosses zero, consistent with waning immunity rather than a true negative or dose-dependent harm effect. VE against Omicron infection then rose to 57.7% (95% CI: 55.9 to 59.5) shortly after a third (booster) dose, the opposite of the monotonic dose-dependent worsening Malone describes. The study's authors attributed the low two-dose estimates to waning antibody levels over time and possible behavioral or testing differences between vaccinated and unvaccinated groups, not to vaccination itself actively reducing protection, and flagged this nonrandomized comparison as a key limitation. The claim of a monotonic 'negative efficacy...up to three' doses is not supported by this dataset: point estimates did not decline further, and were substantially higher, after the third dose.
“we know from South Africa for sure that Omicron, and the WHO made the statement there are no known deaths associated with Omicron in the world. Now, there may be a couple somewhere.”
What the evidence shows: In early December 2021, WHO officials did say no Omicron-attributed deaths had yet been reported worldwide: on December 10 a WHO spokesperson told fact-checkers, "For Omicron, we have not had any deaths reported, but it is still early in the clinical course of disease and this may change." That situation changed within days, before this episode aired: on December 13, 2021, UK Prime Minister Boris Johnson announced, and the UK Health Security Agency confirmed, the country's first death of a patient who had tested positive for the Omicron variant, reported at the time as the first publicly confirmed Omicron-linked death globally; by December 18, 2021, that UK death toll had risen to 14. Malone's statement accurately reflects a real but time-limited WHO position from roughly early December 2021, but presents it as still current without noting it had already been superseded by confirmed Omicron-linked deaths in the UK. WHO never issued a standing global "no known deaths" declaration; it was an early-surveillance snapshot both WHO and fact-checkers explicitly flagged as provisional, and it had changed before this claim was made.
“Now there's, as I said, over time, there will be deaths associated. Remember we talked about the difference between causal and association? Yeah. Okay. And also the fact that 95% of the people who ha…”
What the evidence shows: CDC provisional mortality data show that most COVID-19 deaths involved additional health conditions listed on the death certificate: for about 6% of deaths, COVID-19 was the only cause mentioned, and for the rest CDC reported an average of 2.6 additional conditions or causes per death in its initial 2020 tables, a figure later fact-checks cite as roughly 94% of deaths involving other conditions. Malone's 95% and four-comorbidity figures are in the same range as CDC's reported data and are not fabricated. However, PolitiFact and FactCheck.org found this statistic does not support the implication, made here through Malone's causal-versus-association framing, that these deaths were merely coincidental rather than caused by COVID-19: CDC has separately reported that roughly 91-94% of death certificates mentioning COVID-19 listed it as the underlying cause of death, meaning COVID-19 was identified as the condition that started the fatal chain of events in the large majority of cases. Many conditions counted as comorbidities in CDC's tables, such as pneumonia and acute respiratory distress syndrome, are themselves direct complications caused by COVID-19 rather than pre-existing conditions, so their presence does not show COVID was only associated with, rather than causal for, the death. The presence of comorbidities in most deaths is also typical of most causes of death in older or chronically ill populations and does not by itself establish that a death was misattributed to COVID-19. The underlying comorbidity-count figures are roughly consistent with CDC data, but this statistic is commonly used, including implicitly here, to suggest COVID deaths were overcounted or not truly caused by COVID, which runs counter to CDC's own analysis of the same death certificates showing COVID as the underlying cause in the large majority of cases.
“So regardless, the mortality of Omicron is remarkably low. I think we can all agree on that. It's essentially like a cold.”
What the evidence shows: Malone claimed Omicron's mortality was "remarkably low" and "essentially like a cold." Peer-reviewed evidence confirms Omicron was substantially less severe per infection than the Delta variant: a large UK national cohort study (The Lancet, 2022) found an adjusted hazard ratio for death of 0.31 for Omicron versus Delta, meaning roughly a two-thirds lower risk of death per case, with a similar reduction (HR 0.41) in hospital admission risk. This risk reduction also varied by age: the hospitalization-risk reduction was smaller in adults 80 and older (HR 0.47) than in 60-69 year-olds (HR 0.25), showing the severity drop was less pronounced in the oldest patients. Separately, CDC surveillance of the U.S. Omicron wave (through mid-January 2022) found that even though the highest 7-day average of daily deaths during that period (1,854) was actually lower than in prior high-transmission periods, the report describes the average daily death count during the Omicron surge as remaining "substantial," alongside record numbers of cases, ED visits, and hospital admissions that strained the health system. Together, these sources support that Omicron caused meaningfully fewer deaths and hospitalizations per infection than Delta, but they do not support equating Omicron's mortality with that of a common cold: the CDC data show a still-substantial, non-trivial daily death toll during the surge, and reduced per-case severity was not uniform across all groups. The claim is best characterized as misleading: it accurately reflects a real, well-documented reduction in per-infection severity relative to Delta, but overstates that reduction into a false equivalence with a common cold's near-zero mortality.
“In the case of Omicron, the R0, the base reproduction coefficient, is in the range of 7 to 10. Okay? That is a wicked high. That is measles territory.”
What the evidence shows: Malone claimed Omicron's basic reproduction number (R0) falls in the range of 7 to 10, describing this as "measles territory." A rapid review of published Omicron R0 estimates (J Travel Med, February 2022) found an average basic reproduction number of 9.5 across 8 studies, with a range of 5.5 to 24 (median 10, interquartile range 7.25-11.88), noting the highest value of 24 was a theoretical ceiling assuming no immune evasion; the same review found the average effective reproduction number (Re), which better reflects real-world transmission accounting for prior immunity, was only 3.4 (median 2.8). Measles, by contrast, has a well-established basic reproduction number of 12 to 18 according to a 2026 narrative review of measles epidemiology, and the World Health Organization describes measles as one of the most highly contagious diseases known. Malone's cited 7-10 figure falls within the plausible published range of theoretical basic R0 estimates for Omicron, but it remains below the 12-18 range cited for measles, and Omicron's real-world effective reproduction number was estimated at roughly a third of the theoretical basic R0 figure. Describing Omicron as being in "measles territory" overstates its transmissibility relative to measles, though the specific 7-10 numeric range he cites is not fabricated and overlaps with the interquartile range found in the literature for Omicron's theoretical basic reproduction number.
“Pfizer is one of the most criminal pharmaceutical organizations in the world based on their past legal history and fines.”
What the evidence shows: In September 2009 the DOJ announced Pfizer and its subsidiary Pharmacia & Upjohn agreed to pay $2.3 billion, then the largest health care fraud settlement in DOJ history, over illegal promotion of Bextra, Geodon, Zyvox, and Lyrica for unapproved uses and kickbacks to health care providers. Pharmacia & Upjohn pleaded guilty to a criminal felony, and the $1.195 billion criminal fine was at the time the largest ever imposed in the U.S. PolitiFact and Full Fact confirm these figures but note the settlement dates to 2009 and involved Bextra, not COVID-19 vaccines, a distinction often confused in separate viral claims. Malone's characterization of Pfizer as "one of the most criminal" pharmaceutical companies is a subjective superlative rather than a verifiable ranking, but it is grounded in a well-documented record including the largest health care fraud settlement and largest criminal fine in U.S. history at the time, plus admitted kickback conduct.
“in the 20s and 30s. Very intelligent, highly educated population and they went barking mad. And they went barking mad. And how did that happen? The answer is mass formation psychosis.”
What the evidence shows: Malone claims a phenomenon he calls "mass formation psychosis," credited to Belgian psychologist Mattias Desmet, explains both Germany's turn to Nazism in the 1920s-30s and public compliance with COVID-19 measures. Multiple academic psychologists consulted by the Associated Press, including NYU's Jay Van Bavel and University of St Andrews professor Stephen Reicher, said they had never encountered the term in peer-reviewed literature and described it as unsupported by evidence, comparing it to previously discredited concepts like "mob mentality." Mainstream historical and psychiatric scholarship on the Nazi era attributes the rise of Nazism to a complex mix of economic collapse, institutional failure, propaganda, and political violence; no peer-reviewed literature reviewed identifies "mass formation psychosis" as an explanatory framework for that period. The claim is best characterized as a non-clinical concept rejected by the psychologists consulted and not corroborated by historical scholarship on Nazi Germany.
“We are having a huge surge of drug abuse in adolescents. We're having demonstrable drops in IQ and fundamental developmental milestones in the very young, like 20 IQ points.”
What the evidence shows: Malone's claim traces to a widely publicized Brown University study (Deoni et al.) that compared cognitive test scores (Mullen Scales of Early Learning) in infants and toddlers born during 2020-2021 against a pre-pandemic historical cohort from 2011-2019 and reported significantly lower verbal, motor, and overall cognitive performance in the pandemic-born group; this research was presented as a conference abstract and posted as a preprint but was never published as a full peer-reviewed paper, and it did not isolate mask-wearing or lockdowns as causes, instead attributing findings to broad pandemic-era environmental disruption. No study has documented a population-wide 20-point IQ drop specifically linked to masks or lockdown policy. A 2025 systematic review and meta-analysis of ten studies across six countries, published in the Journal of Developmental and Behavioral Pediatrics, found no statistically significant difference in overall child development between pre-pandemic and pandemic-era cohorts (pooled Cohen's d = 0.28, p = 0.18), though it did find a significant, smaller effect specific to language and communication delays. Current evidence therefore supports modest, domain-specific developmental effects, particularly in language, rather than the large, generalized "20 IQ point" drop described in the claim.