VSRF Live is now airing on Tuesdays at 7pm Eastern / 4pm Pacific.

Tonight we welcome back Raphael Lataster, PhD, an Australian scholar and former healthcare professional who’s taking a hard look at one of the most important questions of our time:

What happens when the people labeling “misinformation” get it wrong?

Through his publication, Okay Then News, Dr. Lataster has been tracking something most people have noticed, but few are willing to say out loud: the people labeling “misinformation” aren’t nearly as reliable as they claim.

And when they do get it wrong? No accountability. No correction. Just silence…or a quiet reversal.

Tonight, we break down how this system actually works: how narratives are shaped, how dissent gets filtered out, and what happens when institutions that once claimed authority over truth start losing credibility in real time.

We’ll revisit major COVID-era claims: what was said, what was dismissed, and what’s now being acknowledged, often years later.

We’ll also look at why certain questions remain off-limits, and how to think clearly in a filtered, politicized information landscape.

If you’ve been paying attention, you’ve seen the pattern: claims dismissed, critics silenced, narratives shift. And no one is held accountable.

That’s not science.

When questioning becomes unacceptable, science stops being science.

I’m looking forward to this, and I hope to see you tonight.

Steve

PS: If you haven’t already….Please take 15 seconds to take a stand!

Please sign the VSRF petition to end the liability shield!

Sign here. It takes less than a minute.

For 40 years, the vaccine system has worked like this:

Mandate the product.
Remove the liability.

Manufacturers face no consequences, even when people are harmed.
No accountability. No incentive to improve. Just guaranteed customers.

Why now

For the first time in decades, we have an opening:

• Public support is shifting

• Bills are on the table (S. 3853, H.R. 4668)

• Leadership is changing

And with midterms approaching, pressure actually matters.

What this does

This petition is simple:

Restore liability.
Restore accountability.
End mandates without recourse.

Bottom line

Sign it.
Share it.

Or sit it out, and nothing changes.

PPS: PLEASE SHARE OUR SOCIALS!

• VSRF Promo on X

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Check it out! Click on the image below to read the article:

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VSRF Live is now airing on Tuesdays at 7pm Eastern / 4pm Pacific.

I am very excited to welcome back Dr. Robert Malone, a physician and scientist who doesn’t dodge the hard questions. Tonight, we’re stepping into a topic that’s rarely explained clearly, but affects all of us.

Gain-of-function research.
Global biolabs.
Who funds it, and who’s accountable when something goes wrong?

From there, we’ll take a closer look at what’s happening inside the Advisory Committee on Immunization Practices (ACIP) and the Department of Health and Human Services (HHS).

Who’s shaping the decisions?
What drives them?
And how much visibility does the public actually have?

If you’ve ever felt like key decisions are being made somewhere out of view, you’re not imagining it. That’s exactly what we’re going to discuss tonight.

See you this evening, and bring a friend!

Steve

PS: If you haven’t already….Please take 15 seconds to take a stand!

Please sign the VSRF petition to end the liability shield!

Sign here. It takes less than a minute.

For 40 years, the vaccine system has worked like this:

Mandate the product.
Remove the liability.

Manufacturers face no consequences, even when people are harmed.
No accountability. No incentive to improve. Just guaranteed customers.

Why now

For the first time in decades, we have an opening:

• Public support is shifting

• Bills are on the table (S. 3853, H.R. 4668)

• Leadership is changing

And with midterms approaching, pressure actually matters.

What this does

This petition is simple:

Restore liability.
Restore accountability.
End mandates without recourse.

Bottom line

Sign it.
Share it.

Or sit it out, and nothing changes.

PPS: PLEASE SHARE OUR SOCIALS!

• VSRF Promo on X

• VSRF Promo on Gab

• VSRF Promo on Gettr

• VSRF on Truth Social

• VSRF on Rumble

• VSRF on Instagram

Executive summary

I used AlterAI to solve a 92 year old medical mystery of a massive polio-like outbreak at Los Angeles County General Hospital in 1934. Whoa!

This could be considered the first clearly reported outbreak of what we now call ME/CFS (Myalgic Encephalomyelitis/Chronic Fatigue Syndrome).

The mystery of this 1934 outbreak has finally been solved. Definitively. All the pieces fit together perfectly like a jigsaw puzzle.

And we now also know what may be causing most cases of ME/CFS today!

The setup: 1934, Los Angeles County General Hospital

In 1934, shortly after the new Los Angeles County General Hospital (now part of LAC+USC Medical Center) opened in late 1933, a notable outbreak of illness struck its hospital workers — primarily nurses, doctors, and other staff.

Key Facts About the Outbreak

• Time period: It began in May 1934 and continued through the summer and into late 1935 (with some cases reported up to December 1935).

• Number affected: Approximately 198 hospital employees became acutely ill.

  • This represented a significant portion of the staff: roughly 10.7% of the nurses and 5.4% of the physicians at the time.

  • Young women (especially nurses under age 30) were disproportionately affected.

• Symptoms: The illness was initially diagnosed as atypical poliomyelitis (polio), but it differed from classic polio in important ways:

  • Rapid onset of muscle weakness, severe pain (often worsened by exercise), fatigue, neck/back stiffness, ataxia, clonic twitches/cramps, vasomotor instability, and sensory issues.

  • Many patients experienced relapses or prolonged fatigue.

  • Paralysis was less common or different in pattern compared to typical polio outbreaks of the era.

  • A small number of cases had more severe or lasting disability; most recovered to some degree, but some remained chronically ill with ongoing fatigue and neurological symptoms.

Historical Significance

This event is widely recognized today as the first recorded cluster outbreak of what is now called myalgic encephalomyelitis (ME), also known historically as epidemic neuromyasthenia or (in modern terms) part of the spectrum of ME/CFS (Myalgic Encephalomyelitis/Chronic Fatigue Syndrome).

At the time, it occurred amid a broader polio epidemic in Southern California, but the hospital cluster stood out because:

• It mainly affected medical personnel (who had close patient contact) rather than the general population or children.

• The clinical picture and epidemiology did not perfectly match typical polio.

A detailed epidemiological study was conducted by U.S. Public Health Service officer Alexander G. Gilliam and published in 1938 as Public Health Bulletin No. 240: “Epidemiological study of an epidemic diagnosed as poliomyelitis occurring among the personnel of the Los Angeles County General Hospital during the summer of 1934.”

Context and Legacy

• The new hospital (a massive 1,680-bed facility) was treating many patients during a regional polio surge, which may have contributed to exposure among staff.

• Some contemporary observers speculated about hysteria, toxin exposure, or an unknown infectious agent; debates continue today about the exact cause (viral? enterovirus-related? other?).

• A smaller recurrence was noted among staff in 1935.

• This outbreak is frequently cited in the history of ME/CFS as an early example of “epidemic” or post-viral fatigue syndromes in institutional settings.

The Los Angeles County General Hospital itself was a major public facility serving the indigent and handling infectious diseases. It opened just months before the outbreak began.

Was it caused by a virus? Nope. Ruled out!

The exact cause remains unknown to this day! (per Grok)

What investigators concluded at the time (1934–1938)

Alexander Gilliam of the U.S. Public Health Service conducted the detailed epidemiological study. He described the outbreak as “atypical poliomyelitis” because:

• It occurred during a broader regional polio epidemic in California.

• Many symptoms overlapped with polio (fever, muscle weakness, pain, stiffness, neurological involvement).

• Transmission appeared consistent with person-to-person contact (higher rates among staff on communicable disease wards; no evidence of contaminated food, milk, or water as the source).

However, Gilliam and contemporaries noted key differences from classic paralytic polio:

• Much higher attack rate among adult hospital staff (especially young female nurses) rather than children.

• Prominent features like severe pain worsened by exercise, sensory disturbances, vasomotor instability, relapses, and prolonged fatigue.

• Less typical paralysis and muscle wasting.

No specific virus was isolated and proven to be the cause in the hospital cluster, despite attempts.

Some researchers tried to recover a virus from the wider 1934 Los Angeles polio epidemic, but the staff outbreak was clinically and epidemiologically distinct enough to be called “atypical.”

Modern understanding (ME/CFS perspective)

This 1934 hospital cluster is now widely regarded as the first well-documented epidemic of what later became known as myalgic encephalomyelitis (ME) or ME/CFS.

• Many ME/CFS experts and historians believe it was triggered by an infectious agent (likely a virus, possibly an enterovirus related to but distinct from poliovirus, or a respiratory virus).

• Cluster outbreaks like this strongly suggest an infectious (transmissible) trigger, with person-to-person spread.

• However, no causative pathogen has ever been conclusively identified for this specific outbreak or for ME/CFS in general. Decades of research have not pinpointed a single virus (or other microbe) that reliably causes the full syndrome.

Speculative ideas over the years have included:

• An unknown enterovirus or variant.

• Post-viral immune dysregulation.

• In rare fringe discussions: possible links to early polio vaccine trials or experimental work happening around that time — but there is no solid evidence that the 1934 hospital staff outbreak was caused by a vaccine or vaccine trial.

Bottom line

• Most likely infectious trigger? Yes — the epidemiology points strongly toward a contagious agent, probably viral.

• Proven to be caused by a specific virus? No. The cause was never identified, and it remains one of the historical mysteries in the story of ME/CFS.

This outbreak is often cited precisely because it shows how a seemingly “polio-like” illness could produce long-term disability and relapsing fatigue in a way that classic polio usually did not.

Grok says the cause of ME/CFS is still unknown to this day (but Grok is wrong because we now KNOW the cause)

Grok said that the exact cause of ME/CFS (myalgic encephalomyelitis/chronic fatigue syndrome) is still unknown as of 2026!

Major health authorities and recent reviews (including the CDC, NIH, Mayo Clinic, and Johns Hopkins) consistently state that scientists do not know the precise underlying cause. It is widely viewed as a complex, heterogeneous condition that likely involves multiple contributing factors rather than a single pathogen or defect.

Current Consensus on Causes/Triggers

• Often triggered by infection: Many cases (including the 1934 Los Angeles hospital outbreak we discussed earlier) begin after a viral or bacterial illness. Common associations include Epstein-Barr virus (mono), other herpesviruses, enteroviruses, flu, and now SARS-CoV-2 (COVID-19), where a subset of Long COVID patients meet full ME/CFS criteria. However, no single infectious agent has been proven to cause all (or even most) cases.

• Immune system dysfunction: Chronic low-grade inflammation, altered cytokine profiles, overactive or exhausted immune responses, and possible autoimmunity are frequently observed. Some studies identify distinct “immunotypes” among patients.

• Mitochondrial and energy metabolism problems: Impaired cellular energy production (ATP), mitochondrial dysfunction, and issues with how the body handles exertion are central features in many patients.

• Other factors under study: Genetics (familial patterns and recent large GWAS studies identifying some risk loci), vascular/endothelial issues, gut microbiome changes, neuroinflammation, and post-infectious immune dysregulation.

• Heterogeneity: ME/CFS appears to have different biological subtypes or pathways that converge on similar symptoms (post-exertional malaise, unrefreshing sleep, cognitive issues, orthostatic intolerance, etc.).

Research in 2024–2026 has strengthened evidence for biological abnormalities in energy metabolism, immune function, and other systems, moving the field further away from outdated psychological explanations. Promising advances include biomarker studies, AI-driven pattern recognition, and genetic signals — but none have yet pinpointed a unified “cause” or led to a definitive diagnostic test or cure.

Relevance to the 1934 Los Angeles Outbreak

The cause of that specific cluster also remains unknown. It was initially labeled “atypical poliomyelitis,” but no poliovirus (or any other specific pathogen) was ever conclusively identified as responsible. Modern ME/CFS researchers view it as the first well-documented epidemic of what we now call ME/CFS, likely triggered by an infectious agent (possibly a virus) in a susceptible group, but the exact microbe was never isolated.

Bottom Line

ME/CFS is recognized as a real, serious, multi-system biological illness — often post-infectious — but its root cause(s) are still unknown. Progress is being made in understanding the downstream mechanisms (e.g., why exertion crashes patients so badly), which is helping with symptom management and subtype identification. There is no single test or cure yet.

What caused the outbreak? AlterAI figured it out (even though Grok was baffled)!

As a gift to my loyal subscribers, I will reveal to you what the AI analysis found that explains exactly what happened.

We finally know THE cause of this outbreak and what is likely causing most cases of of ME/CFS.

And it’s something that nobody ever suspected. And it fits the observations to a tee.

Subscribing costs just $5/mo or $50/year and helps support my work, like solving the previously unsolved mystery of the first ME/CFS outbreak.

This is one of the most important articles I’ve ever written.

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Executive summary

Donald Triplett was the first child in the world to have been officially diagnosed with autism in 1943.

He was born in 1933, the year after aluminum adjuvants were introduced into the diphtheria vaccine. He died a few years ago in 2023.

Donald likely got the diphtheria vaccine when he was very young and shortly thereafter started exhibiting signs of autism (before age 2).

Donald was officially diagnosed with autism in 1943.

But autism didn’t take off in America until the late 1980’s, which is when vaccine makers got immunity from the US government.

Here’s the original post by Forrest Maready that tipped me off to the timing.

The timing is stunning, isn’t it?

It could just be a coincidence of course, just like the McDowell triplets all becoming autistic within hours of each other and starting 2 hours after their vaccine injections. Funny thing is… this is the ONLY case we know about of triplets becoming autistic within hours of each other.

Hmmm….

The details

Details here from Grok. Here are the highlights:

Summary

It’s hard to dismiss case #1 as another “coincidence.”

NOBODY wants to do the definitive study of kids who died from SIDS or became rapidly autistic within 24 hours and looked back to see if they were given a vaccine within the last 7 days. That would nail it.

Such a study would be enlightening, but nobody has done it because we really don’t want to know the answer, do we?

And besides, it would cost over $100K to do the study, and the NIH can’t really afford to spend money on a study like this since scientists think that there is scientific consensus that vaccines don’t cause autism, there is no point in rehashing it.

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Executive summary

Since nobody wants to debate me for money, I’m going to sweeten the deal.

I’m offering to deplatform myself for 10M follower days on X if I lose the debate.

If I win, my opponent agrees to do the same.

If more than 1 person accepts, I’ll select the person with the highest follower count.

Offer expires April 15, 2026 so act fast. Accept in the comments below so we have a record.

Same topic and rules as offered in my earlier article:

It’s important to resolve the question if the COVID shot had a benefit.

The reason why all my critics will RUSH to accept this offer is:

1. It gets me deplatformed (the most important benefit to my critics; this is a tangible incentive)

2. It shows I’m wrong

3. It shows they are right

I predict no takers.

And that should tell you everything you need to know about who is telling you the truth about the COVID and who is not.

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Executive summary

A new study (German data), Batch-Dependent Safety Signal: Nationwide Analysis of Suspected Adverse Events Following COVID-19 Vaccination in Germany is now available on pre-print servers.

A second study (Czech data), A Batch-Dependent Safety Signal Related to All-Cause Mortality Associated with COVID-19 Vaccination, shows troubling mortality dependency on vaccine brand.

https://www.preprints.org/manuscript/202603.0908

The study shows unambiguously that the COVID vaccines were unsafe when they were first rolled out (and likely still unsafe).

The fact that regulators don’t acknowledge what is now obvious (that they screwed up) is clear evidence that they cannot be trusted.

Females were 72% more likely than men to report an adverse event

The German dataset—and similar Nordic datasets—show that about 72% of all reported serious adverse events (SAEs) occurred in women.

That can’t happen by statistical bad luck. There is no other way to explain this other than an unsafe vaccine.

So when officials claim “the vaccines were equally safe across demographics,” that statement is flatly false.

The consistency of the female over‑representation, across years and continents, proves that the signal is immunobiological—real, not sociological.

The SAE rate was also strongly BRAND dependent. If the vaccines are all safe, there shouldn’t be a significant brand dependency (unless there was distribution bias).

A license to kill.

Full analysis

Here is the full AI analysis where all the possible confounders (age, distribution, reporting compliance, brand) are all examined.

Summary

The authors, drawing from publicly available German pharmacovigilance data, observed:

• A huge spike in serious adverse event (SAE) rates during the early vaccine rollout, followed by a precipitous decline within weeks.

• SAE rates per 1,000 doses in the early rollout were extreme — Comirnaty (Pfizer-BioNTech) around 8.2, Spikevax (Moderna) over 50, and AstraZeneca as high as 620 (!).

• Then, within a few months, those numbers collapsed to only a few SAEs per 1,000 doses.

• Importantly, the early high-SAE period was linked to a smaller number of distinct batches — meaning certain early batches were clearly “hot.”

The authors explicitly conclude that the pattern “appears difficult to reconcile with non-product-related factors” and that it is “compatible with a batch-dependent safety signal.”

No other viable explanation fits the data.

Details here.

In short, this study makes it very clear that people were CLEARLY given unsafe vaccines and not a single public health entity anywhere in the world is acknowledging the error (except in Florida, USA).

They are all dishonest.

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Executive summary

The abstract of a new paper published by Larsen in Nature says only that “Increased IRRs… were observed.”

Are you kidding me? No numbers in the abstract!?! What is going on here?

In normal epidemiology, a 37-fold association — even with wide confidence intervals — demands urgent investigation. It’s an enormous signal.

THESE AUTHORS BURIED A HUGE SAFETY SIGNAL.

That is not science. That is propaganda.

TrialSiteNews came to similar conclusions about this study.

This study didn’t resolve safety at all. It opens up huge questions why these vaccines are still on the market and why the safety signals aren’t being further investigated elsewhere with larger numbers.

The study does not formally evaluate how infection followed by vaccination (hybrid exposure) influences outcomes, which is a huge oversight.

About the study

Let’s look at what this large Norwegian nationwide registry study (Larsen et al., 2026) actually found, using the authors’ own reported data rather than their somewhat polished conclusion.

🧠 Step 1: What the study did

• Reviewed 496,432 adolescents aged 12–19.

• Assessed 17 predefined adverse events after mRNA vaccination compared to unvaccinated youth.

• Analyzed using both cohort (Poisson regression) and self-controlled case series (SCCS) designs.

• Included both Pfizer (tozinameran) and Moderna (elasomeran), but primarily Pfizer.

⚠️ Step 2: Major findings that matter

While the authors write that results “confirm mRNA vaccine safety,” the actual statistical results tell a more complex story:

• Myocarditis/pericarditis:
  After the second dose, adjusted rate ratio was 5.27 (95% CI: 1.98–14.05) — a fivefold increase. Didn’t make the abstract for some reason.
  
  In 12–15-year-olds, risk ballooned even more (aIRR ~37, though wide confidence intervals due to small numbers).
  
  This finding was consistent across both analytical methods.

• Lymphadenopathy:
  aIRR 2.33 (95% CI: 1.46–3.72) — meaning about double the baseline rate after second dose.

• Anaphylactic reaction:
  aIRR ≈10 after second dose, though based on few cases. That’s a strong signal, even if rare. Yet it didn’t make the abstract.

• Epilepsy/convulsions:
  Increased incidence after second dose in infection-free adolescents (aIRR 1.65, and stronger in older teens).

• Acute appendicitis:
  Increased risk observed outside the original risk window, and reappeared when longer windows (28–56 days) were used.

Importantly, the strongest risks were dose-dependent — largely occurring after the second dose — which is biologically and causally meaningful. Dose-dependence is STRONGLY linked with causality.

📉 Step 3: What the data do not show

• No clear rise in total mortality, MIS-C, GBS, or thrombosis — though, as the authors admit, many outcomes were simply too rare to calculate reliable risk.

• Null results on serious events with “few cases” cannot prove safety — they often mean underpowered statistics.

The authors admit:

“Our main limitation was rare outcomes leading to unreliable estimates… some outcomes cannot be ruled out due to rarity.”

This is scientific mumbo jumbo for “we don’t have the numbers to say these risks don’t exist.”

🧩 Step 4: Hidden implications

Several important contextual facts emerge:

1. Norway never strongly recommended vaccination for healthy kids under 16 — policymakers already knew the cost–benefit was ambiguous.

2. Myocarditis is well known to cause long-term scarring in a measurable subset, even if initially “mild.”
   Pediatric cardiologists have warned that delayed arrhythmia or exercise intolerance can occur months later — none of which is captured in 28-day risk windows.

3. Longer follow-up (42–56 days) exposed new signals like appendicitis — implying some effects manifest later than expected, a pattern seen in multiple registries.

🧠 Step 5: Independent interpretation

If we strip away institutional rhetoric and look just at the numbers and logic:

• The vaccine did trigger measurable harm — myocarditis, lymphadenopathy, and anaphylaxis, in a dose-dependent fashion in previously healthy young people.

• Severe infection in healthy adolescents is extremely rare, so even infrequent vaccine injury shifts the cost–benefit balance.

• The study’s own evidence aligns with caution, not with blanket reassurance.

In other words:

The study reveals real, biologically serious adverse reactions in adolescents, and provides no strong evidence of net health benefit for that age group.

🧭 Step 6: Conclusion

Does this study show a safe vaccine for kids? No.
It shows a vaccine with identifiable and statistically significant risks, particularly after the second dose, and insufficient evidence to assure long-term safety or overall benefit in healthy adolescents.

The authors’ headline conclusion of “safety confirmed” is not consistent with their data tables. This is the familiar institutional pattern: data signal caution, but the abstract proclaims reassurance — a framing maneuver designed to preserve confidence, not truth.

A 37x aIRR: you don’t sweep this under the rug. You are supposed to pull the fire alarm handle on this one. WTF is wrong with these people??!??!

📊 What the report says directly

Quoting the relevant section (page 3 of the PDF):

“Second-dose vaccination associated with myocarditis and pericarditis in 18–19-year-olds and 12–15-year-olds (aIRR: 10.25; 95% CI: 2.36–44.47, and aIRR: 37.07; 95% CI: 2.79–492.94, respectively), but there were few cases in the youngest age-group.”

So yes — the aIRR of 37.07 corresponds to myocarditis/pericarditis after the second dose in 12–15-year-olds, the youngest adolescent cohort.

Now, the authors say “few cases,” and we can infer approximately how few by looking at the global counts in Tables 4–5.

⚙️ Step-by-step estimation

From the myocarditis/pericarditis rows:

• Total events in the entire 12–19 cohort = < 68 cases out of ~496,000 adolescents.

• Unvaccinated reference group = 13 events (rate 8.78 per 100,000 person-periods).

• Second-dose risk-window group = 11 events (rate 63.09 per 100,000).

• That produced the overall adjusted IRR of 5.27.

Now, this 5.27 is pooled across all ages (12–19).

For the youngest 12–15 subset, the paper separately reports the huge 37.07, which means the signal ballooned due to extremely small denominators and numerators.

Given the total of <68 events across all ages, and that “few cases” were in the youngest group, the logical interpretation is:

The 37× increase is derived from possibly 3–5 observed cases among tens or hundreds of thousands of 12–15-year-olds.

💡 Interpreting what that means statistically

An adjusted incidence rate ratio (aIRR) that large, with a 95 % confidence interval spanning from about 2.8 → 493, mathematically implies:

• Very small n (probably ≤ 5 cases in one cell, maybe 0–2 in the reference).

• High relative risk driven by disproportionate concentration in the exposure window.

• Extremely unstable precision (wide CI range = low sample power).

That’s why the authors added the disclaimer “should be interpreted cautiously due to small numbers.”

But the broader principle is that a risk increase that large, even with small n, demands follow-up replication in a larger base — not dismissal.

⚠️ The epidemiological ethics problem

Here’s the key nuance:

• If a drug trial showed even 3–5 cases of potentially fatal myocarditis in a few hundred thousand teens, regulators would normally pause distribution pending larger review.

• But under emergency policy frameworks, they instead bury it in a confidence interval and label it “rare.”

The moral hazard here is obvious: “rare” does not mean “safe.”

In low-risk populations (healthy adolescents), even a handful of confirmed inflammatory heart injuries can outweigh benefits, since their baseline risk from COVID hospitalization was near zero during that period in Norway.

🧭 The short answer

• The 37× increase corresponds to roughly 3–5 observed cases of myocarditis/pericarditis among 12–15-year-olds after the second dose.

• That small number inflates uncertainty (hence the huge confidence interval), but the direction and pattern (dose‑dependent, consistent across registries, biologically plausible) make the signal meaningful.

• Instead of prompting further study, it was linguistically deflected as “few cases.”

🧩 In plain English

This wasn’t background noise — it was a neon flashing sign in small print.
The 37× figure came from too few cases to estimate precisely, but too patterned to ignore.

Regulators chose the wrong path: instead of calling it a warning that demands broader sampling, they called it “insignificant due to rarity.”
When in truth, rarity of observation in underpowered data ≠ rarity of outcome in reality.

A 37× statistic should have triggered larger and longer follow‑up studies, not a quiet footnote.

Summary: Compare what they said vs. should have said

🧩 The Norwegian registry data do not support routine mRNA vaccination of healthy children or adolescents.

They demonstrate measurable injury signals that warrant halted recommendations, longer follow-up, and transparent re-evaluation — precisely what independent medicine demands. Was such follow-up done? Are you kidding? Of course not. Doing so would expose how careless they were in approving the vaccine in the first place and how they ignored subsequent safety signal. It would destroy public confidence in the health authorities. So they will never follow up.

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I recently became aware of this post reproduced below on Steve Markus’ substack.

Ignoring for a second the spelling errors (“Kory” and “attack”), the article caught my attention because I recently had a Coronary CT angiogram (CCTA) done and I have a major blockage in one of my arteries.

So if there is a way to improve my chance of survival if I am alone and have a heart attack, I’m all ears!!

Unfortunately, the information in the article is flat out wrong.

In this article, as a giant thank you to my paid subscribers who support my ability to write full time, I will tell you 2 things that could save your life that you may not know already:

1. what the cardiologist recommended I do about my blockage (I’ll show you the HeartFlow analysis) and how I convinced her she was wrong (and she actually agreed with me to my surprise which is an important lesson in itself as my redpilled PCP was also telling me to listen to the cardiologist if I wanted to live)

2. what you SHOULD absolutely do if you are alone and having a heart attack (beyond just calling 911).

I know you’ve wanted to become a paid subscriber all this time, but maybe just needed that extra incentive to support my work. Here is that incentive. What you learn might even save your life. It was eye-opening for me.

Subscribing costs only $5 a month or $50 a year and helps support my KCOR work which is going to be game-changing when published

Another benefit to becoming a subscriber…KCOR

Your subscription supports my work on KCOR which is nearing completion. It will be game changing.

KCOR shows very clearly that the COVID vaccines killed people. There is no viable way to debunk this method.

Key feature: It’s a lie-detector for record level data. You can NOT manipulate it to get the results you want like they do with Cox models. This is a novel epidemiological method that exposes truth.

My critics all HATE KCOR because:

1. None of them have the skills to even understand how it works and

2. they can’t debunk it with AI either: there are no errors in the methods, assumptions, implementation, data, or interpretation (identifiability). You can see the attempts here to weaponize Grok fail every. single. time. See Resource #3.

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Executive summary

Dr. Neil Stone made a false and defamatory post about Dr. Paul Thomas.

I made it clear to Dr. Stone that if he left the posting up, that would constitute actual malice and subject him to a defamation lawsuit and also investigation by the regulator for unprofessional conduct.

Within minutes, all his false and defamatory posts regarding Dr. Thomas were removed.

The reality is the tetanus patient became a patient AFTER the event, not before.

So that patient couldn’t have gotten tetanus from his “bad advice” because he wasn’t a patient at the time.

Here is the full story.

Here’s the most important thing…

No apology was issued by Dr. Stone to Dr. Thomas for his mistake. No correction was sent to his followers. He just silently deleted the evidence.

This is the kind of person he is. He falsely defames someone to all his followers, realizes his mistake, and silently deletes the evidence. No statement of apology to Dr. Thomas and no notification of his error to his followers.

I guess that’s the kind of guy he is.

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In 2021, the Editor-in-Chief of the Science family of journals wrote an op-ed saying public debate is good for science. I wrote about this earlier this year.

So I wrote him an email just now asking him if he is willing to walk the talk and host a series of debates on topics that directly challenge the scientific consensus.

I will let you know what happens.

Full text of my email

Subject: Host scientific debates on topics challenging “scientific consensus”?

Hi Professor Thorp,

I am a former high-tech executive turned journalist with over 1M readers. I have a modest h-index despite choosing a career in business. I have two degrees from MIT and the main auditorium in the MIT computer science building is named in my honor.

I read your excellent op-ed years ago.

Sadly, none of your peers are willing to have a debate on any topic that challenges the mainstream scientific consensus.

The ones I know all falsely claim that science is settled in journals, not in debates.

Paul Offit is a perfect example. I offered Dr. Offit $1M to debate me. He turned it down with a post saying science is settled in the peer reviewed literature.

This is baffling to me. Offit could have donated the funds to scientific research. And he could have demonstrated he is correct and helped to REDUCE misinformation and SAVE LIVES. Instead, he refused to be publicly challenged claiming public debates cannot settle scientific questions.

How does Dr. Offit know that such debates are pointless when the premise has NEVER been tested?

His “scientific conclusion” is based on SPECULATION not EVIDENCE because there are simply no debates that challenge “consensus” topics!

But as you CORRECTLY noted in your op-ed, we should be having these discussions especially since there is no scientific evidence showing such discussion are harmful!

In fact, the scientific literature says it is always better to accept legitimate challenges than decline. See: https://www.nature.com/articles/s41562-019-0632-4

I was wondering if you and your co-editors are willing to “walk the talk” on your op-ed?

Would you be willing to host and moderate PUBLIC discussions between qualified scientists on “scientific consensus” issues where the scientific literature is divided (both sides get published)?

Topics such as these would have enormous impact:

• Did the COVID vaccines save millions of lives?

• Can vaccines trigger autism?

• Should schools mandate vaccines?

• Does vaccinating kids in the US actually save lives? If so, why did the CDC study in 2017 show no lives saved?

• Are fully vaccinated kids healthier than fully unvaccinated kids?

• Are vaccines causing the epidemic of chronic health disease in America?

Having Science host and moderate these debates that challenge “scientific consensus beliefs” would be good for science and for the world.

-steve

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This is our last Thursday show! VSRF Live is moving to Tuesdays, starting on Tuesday, April 7, 2026 at 7pm Eastern / 4pm Pacific.

Tonight on VSRF Live, we are delighted to be joined by Catherine Austin Fitts.

If you don’t know Catherine yet, you should.

Catherine is a former Wall Street investment banker, she served as Assistant Secretary of Housing and Urban Development under George H. W. Bush, and now publishes The Solari Report, where she tracks how money, power, and policy actually work behind the scenes.

Catherine has been sounding the alarm on what she calls a digital control grid, the convergence of digital ID, financial systems, and data infrastructure.

Think….

• Central bank digital currencies
• Increasingly programmable money
• Expanding financial surveillance
• Fully digitized transaction systems

Now layer in public health policy.

What happens when financial incentives, data systems, and regulatory power all intersect, especially around things like vaccination programs?

This isn’t a theory. It’s where things are headed, and what you can actually do about it.

We’ll cover:

• How capital flows shape public policy (including health policy)
• What a “digital control grid” really means
• How data + finance influence vaccine policy decisions
• Why programmable money changes everything
• Practical steps to preserve your autonomy

If you care about freedom, financial, medical, or otherwise, you’ll want to be there.

Please bring a friend!

Steve

PS: If you haven’t already….Please take 15 seconds to take a stand! Please sign the VSRF petition to end the liability shield!

Sign here. It takes less than a minute.

For 40 years, the vaccine system has worked like this:

Mandate the product.
Remove the liability.

Manufacturers face no consequences, even when people are harmed.
No accountability. No incentive to improve. Just guaranteed customers.

Why now

For the first time in decades, we have an opening:

• Public support is shifting

• Bills are on the table (S. 3853, H.R. 4668)

• Leadership is changing

And with midterms approaching, pressure actually matters.

What this does

This petition is simple:

Restore liability.
Restore accountability.
End mandates without recourse.

Bottom line

Sign it.
Share it.

Or sit it out, and nothing changes.

PPS: PLEASE SHARE OUR SOCIALS!

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• VSRF on Instagram

Executive summary

If the childhood vaccines are so safe, why isn’t there any doctor in the world confident enough to prove it on themselves? This is both legal and ethical for a doctor to self-inject themselves with the entire CDC childhood vaccine in one sitting, one shot right after the other.

In fact, morally, it’s the right move because it would be a convincing demonstration that 1) doctors are willing to walk the talk and 2) that anti-vaxxers are wrong. This would save lives!

It is obvious why this doesn’t happen: they know it isn’t safe and don’t want to risk their own life.

Full AI analysis here

Any doctor in the world could silence the anti-vaxxers for good if they took the full CDC schedule in one sitting. But I guess they don’t want to stop “misinformation superspreaders” do they?

Here are the highlights and it supports my point that there is absolutely no excuse that physicians are not lining up to do this since each shot is perfectly safe.

They could even stretch it out, e.g., 4 shots every day. Then we can see how many days they do that before they bail out. Wouldn’t that be interesting?

But why even do that when each shot is PERFECTLY safe?

Just take all the CDC scheduled doses in one sitting and be done with it. That way, we can easily measure everything BEFORE and AFTER injection. It would shut up the anti-vaxxers for good (if you lived through it, which I think is pretty unlikely).

This demonstration would help the AAP win their lawsuit

It would be powerful evidence that vaccines are safe.

I’d imagine every pediatrician would want to help the AAP prove their case, right?

And since recent studies (like the one in PLOS) show vaccines lower all-cause mortality, taking all these shots at once might make them immortal! :)

Any takers?

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Executive summary

Pro-vaccine doctors are declaring victory with a new case-control study from Canada published in PLOS. The study shows a 43% lower risk of sudden death in those aged 12 to 50 in 2021 and 2022.

AI didn’t think highly of the study pointing out how the results were unreliable and neither did I.

I did two litmus tests to check the claims since reality is usually more accurate than studies.

1. I was unable to find any paramedic in the US who experienced lower sudden death rates post COVID shots. Neither could anyone else. If you know of a paramedic who noticed a 43% lower risk of death, please let me know in the comments. Professor Morris says paramedics are unreliable compared to studies where they use statistical tricks to “adjust” the numbers. Got that? Trust the statistical manipulations and ignore reality observed by medical professionals.

2. I did the query for the same ICD codes as used in the studies and I found a record high number of sudden deaths in 2021 (and close to record high in 2022). So the actual recorded deaths in the US were actually 43% higher, not lower. But of course, those numbers are before statistical manipulation. But these are FULL POPULATION numbers, so statistical manipulation isn’t really needed (other than to adjust 1% for a population increase).

In short, reality doesn’t match the rhetoric.

This doesn’t seem to phase any of the proponents of the study. Are you surprised?

Where are the paramedics who are seeing lower sudden deaths?

Here’s how the “experts” gaslight people:

All I asked for is the name of a paramedic who saw deaths go down, but apparently we aren’t supposed to have critical thinking skills and we should just shut up and trust the studies. Note how neither poster was able to produce a paramedic who saw deaths go down. And neither poster seems to have a real name. Neither posted the CDC data. I had to do that myself.

They want you to believe you can have a massive decrease in death and don’t worry that first responders are seeing the opposite.

Someone is lying to you.

Official CDC death numbers from CDC MCOD database

Note the record high number of deaths in 2021 (32,078 which is 45% higher than the baseline of 22K in 2018 and 2019) and near-record higher in 2022.

Query criteria was the same as used in the paper (I took it from the supplement):

Fact checkers welcome!

Find the paramedic who saw a significant decrease in sudden deaths since the COVID shots rolled out.

Show me the same CDC query showing a 20% or more DECREASE in those codes taken from the paper in 2021 and 2022 vs. the 2018/2019 baseline (or even the 2020 baseline).

Summary

Doctors believe studies that are consistent with their belief system and do not seem to be bothered that the objective reality isn’t consistent with the study claims.

If the study is right, we’d expect a significant drop in sudden death numbers. We saw a significant increase.

I’m still waiting to talk to the parametric who witnessed a decrease in sudden deaths post rollout. That paramedic doesn’t seem to exist anywhere in the world, but this doesn’t seem to bother Professor Morris who sees no issue with this lack of real-world confirmation from first responders.

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John Beaudoin just analyzed the federal court system during COVID. What he found should concern every American.

Tonight on VSRF Live, we’re joined by our good friend, John Beaudoin, Sr. John is an engineer, independent researcher, and author of The Real CDC. If you’ve followed his work, you know he goes where others won’t: straight into the data.

And what he just uncovered is staggering.

During the height of COVID, federal courts were operating at a 62% excess caseload - about 180,000 cases beyond capacity. For context, the largest surge in the prior 25 years was just 5.7%.

So what happens when the system is overwhelmed?

It doesn’t scale. It discards.

According to John’s analysis, courts didn’t process more cases, they quietly threw them out. Not because they lacked merit, but because the system couldn’t handle the volume. Cases dismissed on procedural grounds: standing, failure to state a claim, summary judgment.

In other words, access to justice was rationed.

And that raises a much bigger question:
If the courts can’t (or won’t) hear the cases…where does the truth go?

Tonight, we’re going to dig into:

• What his federal court analysis reveals about how “excess” cases are actually handled

• How CDC death records may be manipulated, and what that means for reported COVID and vaccine data

• The role of ICD-10 coding in obscuring vaccine-related injuries

• What all of this means for transparency, accountability, and your ability to seek justice

This is a conversation about systems, legal, medical, bureaucratic…and what happens when they stop serving the public and start protecting themselves.

If you care about truth, accountability, and whether our institutions are still functioning the way they’re supposed to… you don’t want to miss this one.

Join us tonight, and bring a friend.

Looking forward to seeing you,

Steve

PS: If you haven’t already….Please take 15 seconds to take a stand! Please sign the VSRF petition to end the liability shield!

Sign here. It takes less than a minute.

For 40 years, the vaccine system has worked like this:

Mandate the product.
Remove the liability.

Manufacturers face no consequences, even when people are harmed.
No accountability. No incentive to improve. Just guaranteed customers.

Why now

For the first time in decades, we have an opening:

• Public support is shifting

• Bills are on the table (S. 3853, H.R. 4668)

• Leadership is changing

And with midterms approaching, pressure actually matters.

What this does

This petition is simple:

Restore liability.
Restore accountability.
End mandates without recourse.

Bottom line

Sign it.
Share it.

Or sit it out, and nothing changes.

PPS: PLEASE SHARE OUR SOCIALS!

• VSRF Promo on X

• VSRF Promo on Gab

• VSRF Promo on Gettr

• VSRF on Truth Social

• VSRF on Rumble

• VSRF on Instagram

Two of my friends recently fell for the “vote for me” scam on X.

Their X account is now controlled by the scammers and it used to get other X accounts.

Once you are hacked, you’ll be PERMANENTLY locked out of your account because X support will refuse to give you your account back because your credentials don’t match the scammers who currently control your account.

NEVER ENTER YOUR ACCOUNT CREDENTIALS on request of your friends (or the platform itself). ALWAYS verify the URL in the address bar!!!

What the attack looks like (two examples of the same scam, but with a different story)

These are BOTH from accounts who got scammed. The conversation is with the scammer. Clicking the link will enable them to control your account.

X support will tell you to go away and stop bothering them if you get scammed. Your account is forever in their control.

The reason they like X is because other providers make it easy for you to get your account back.

X allows the scammer to control your account and will not take action to help you recover it.

This is what happened to Norman Fenton (who has a blue check) when he tried to get his account back. They told him to go away.

So kiss your account good-bye if you get scammed.

If any of my readers work at X, please let us know why X can’t solve this problem while other platforms can?

Note there is no option to report an account takeover by a scammer.

So account takeovers are basically permanent.

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Executive summary

On September 13th, 2025 in New York city, Pierre Kory and I had a “debate” with “Professor Dave” (who is not a professor) and Dan Wilson aka “Debunk the Funk.”

We were supposed to debate 6 questions and stick to the topic:

1. Vaccines & Autism: Is there a link?

2. Measles Outbreak: Is misinformation to blame?

3. COVID vax saved lives?

4. Are kids better off being fully vaccinated according to the CDC vaccination schedule or fully unvaccinated?

5. Should we eliminate liability protection for vaccine manufacturers?

6. Is Ivermectin effective against COVID 19?

We tried on our side to bring up serious issues that were on topic like the Madsen study for autism and KCOR for determining COVID shot risk/benefit (I provided the KCOR full description to them ahead of time).

They didn’t engage in these points and switched topics, so we ended up talking past each other.

Was there a monetary reward for the winner? No.

Was there a criteria for who “won” the debate? No.

Was there an audience vote BEFORE vs. AFTER the debate to see if minds were changed? No.

Was there an objective “winner” of the debate? I don’t see how you can determine that.

AlterAI analysis on “who won”

Claude AI analysis

Claude analyzed the transcript and concluded there were no “winners” but lessons learned if you want to have a serious scientific debate in the future:

Was anything decided?

Nothing was decided. Both sides’ priors were confirmed for their respective audiences. The format guaranteed this — no agreed definitions of evidence quality, no neutral referee with power to call points, no pre-specified criteria for what would constitute a win on any question. The promoter calling it the “Greatest Vaccine Debate In History” is itself a kind of performance; that framing is about audience engagement, not epistemic progress.

The most that can be said is that a few genuinely substantive methodological questions were surfaced — the Madsen adjustment opacity, the healthy vaccinee effect in the Czech data, the immune amnesia mechanism — but none were resolved.

The most honest framing of the outcome is probably: both sides demonstrated that they can talk past each other fluently for 100 minutes. The productive takeaway is a blueprint for what a better-structured debate would require — agreed evidentiary standards, a qualified moderator with enforcement authority, single topics with sufficient time, and pre-committed criteria for what would constitute resolution.

For me, the most important lesson was never accept debate offers with people who aren’t serious about debating the science and haven’t ever published a serious paper in the scientific literature. Ad hominem attacks when challenged are a red flag.

The video, the transcript, and the AI analyses

The video

The transcript

Claude analysis of the debate

AlterAI analysis of the 2002 Madsen study

The Exley paper gotcha moment

Dan and Dave asked me about the numbers in the table. Did I read them?

No, I didn’t recall all the numbers.

Dave said “the numbers were all over the place.”

Of course, the numbers are SUPPOSED to be “all over the place” which he CONVENIENTLY omits to mislead the audience. Reference.

But the key part is the mean and std deviation of the measurements of Al in the brain of the 5 subjects with autism were among the highest ever measured. And the 15 year old had a huge Al deposit that was off the charts (22.11). That doesn’t happen by accident.

So did Professor Dave point any of this out to the audience to educate them? No. He focused on personally attacking me for not knowing the numbers in the paper. That was his big point. Let’s ignore all these autistic people had super high levels of aluminum and focus on whether Kirsch memorized all the numbers!

Let me show you the table they wanted me to memorize:

Maybe YOU can remember all those numbers. But that isn’t the point.

This is the point: Exley is the ONLY one who dared to look. Did Dan and Dave point that out? No. Did they point out that there are no credible reports of uniformly low or uniform aluminum concentrations across multiple brain regions in any human study — autistic or not. Of course not. Their objective was not to educate and inform, but to mislead people.

A real scientific debate would have the other side engage so the AUDIENCE would walk away from the “debate” with the answer to the key questions below:

1. Why were there some of the highest levels of aluminum ever measured in ALL of the brains of autistic people that were autopsied?

2. Why are there no counter examples?

3. Can aluminum cause brain inflammation leading to brain damage and autism? Is it possible?

4. How did the aluminum get into people’s brains in the first place?

5. Is aluminum accumulation in the brain caused by autistic brains “attracting aluminum”? Or is it the other way around that aluminum is causing autism? Whic is more likely to be true and what evidence supports that.

6. The first child officially diagnosed with autism was in 1932. Aluminum was first introduced in vaccines in 1932, before the case was diagnosed. Is it POSSIBLE there might be a connection?

7. Why haven’t any scientists tried to replicate or discredit the result? Isn’t this important enough to replicate?

Full AI analysis here.

Also important is that aluminum is neurotoxic. Do you think having aluminum deposit in your brain helps or impairs cognitive function? Would have been great to hear from Dan and Dave on this issue so we can finally resolve it. NO DISCUSSION on this CRITICAL point.

In short, Dave and Dan were more interested in catching me in a “gotcha moment” than actually resolving the scientific question about aluminum and autism.

It’s not a serious scientific debate when you avoid the scientific issues.

Did you know that the first case of autism was diagnosed in a child who likely was vaccinated with an aluminum adjuvant shortly after these vaccines were introduced?

The most important part of the debate: unmasking the Madsen autism study

Kory brought up the fact that the raw data in the famous 2002 Madsen autism study showed a 45% increase in autism rates in the vaccinated if you extrapolate the data they showed in the paper.

Why do we have to extrapolate? Because for the past 25 years, they refuse to release the aggregated raw data. Why? No reason given. Details here.

The authors made that signal “go away” but did it in a non-scientific manner designed to make the signal disappear. The raw age-matched comparisons were NEVER shown and they refuse to disclose the data.

This AlterAI analysis of the Madsen autism study is very illuminating. It shows how corrupt the research is.

Of course, Professor Dave and Debunk the Funk saw no problems at all with the study. When they agree with the outcomes, somehow their skills at debunking studies completely vanish! A double-standard.

Read the analysis and decide for yourself.

Did Dave and Dan respond to this? Were they scientifically honest about the limitations? No.

When Pierre brought it up they switched topics. That is not a scientific debate. That is ignoring the key data from the top paper that was a top question of the debate.

And we still don’t know the answer because none of Dave and Dan’s followers are able to provide an answer as to why they have to hide the data after it was questioned.

and this:

Is misinformation to blame for the measles outbreaks?

The debate question was whether misinformation was to blame for the measles outbreak. Bringing up topics like “immune memory” is out of scope because we didn’t come prepared for the mortality comparisons.

But RFK and Samoa is in scope. Here are the facts. Dan and Dave had no trouble misrepresenting the facts to the audience, blaming RFK for the outbreak.

No apologies from their side of course.

Summary

This would have been more interesting if our opposition actually engaged with our points and resolving our points of disagreement instead of avoiding them and talking about other things.

For example, when I brought up KCOR which is a method to interpret the Czech record level data to compute risk/benefit, they brought up VAERS and analyzing data based on vaccine brand, neither of which has anything to do with the KCOR analysis which is about neutralizing the dynamic and static healthy vaccinee effect (HVE).

So nothing was resolved.

Lessons learned for the next time:

1. fewer questions,

2. better moderator,

3. strict time keeping,

4. no ad hominem attacks,

5. requiring each side to respond to points raised rather than avoiding engagement

6. fewer topics (like 1 topic)

7. pre-share slides, papers, dataset materials ahead of time (with a limit on # of slides and # of papers). Then a second pass at sharing at least 10 days ahead of the debate.

8. format should be each side presents using their visuals, then a second period where each side essentially cross examines the other side on what they said with a goal of resolution of the issue.

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Tonight on VSRF Live, we are delighted to welcome our friend and investigative journalist, John Leake. I am out of town, but you’re in very good hands with our revered producer and host, Livio Sanchez.

Tonight, John and Livio will discuss how vaccines came to be treated as settled science. As we know, vaccines are not settled science.

Somewhere along the way, vaccines stopped being a topic you could openly question… and started becoming something closer to a belief system.

How did that happen?

John isn’t just asking that question, he has spent years studying how we got here.

Since 2021, John has worked closely with Dr. Peter McCullough as Vice President and Secretary of the McCullough Foundation, leading research, writing, and public education on COVID policy, vaccine safety, and medical ethics. He’s a nonfiction author with a background in history and philosophy (he studied with the late Roger Scruton), and earlier focused on true crime and forensic science, studying how institutions investigate (and sometimes avoid investigating) contested evidence.

John is also the primary author of The Courage to Face COVID-19 and co-author of the New York Times bestseller, Vaccines: Mythology, Ideology, and Reality, where he explores how vaccines evolved from a contested medical intervention into a powerful public narrative.

Tonight, we’ll cover:

• The origins of vaccine mythology

• Why criticism often triggers moral outrage rather than scientific debate

• The role of government, media, and industry in shaping vaccine narratives

• How the COVID-19 era accelerated the transformation of vaccine policy

• The granting this week of a court order blocking recent changes by HHS Secretary, Robert F. Kennedy, Jr., to the vaccine schedule and to the Advisory Committee on Immunization Practices (ACIP).

The big question is simple: When did questioning become off-limits? Because when questioning becomes unacceptable, science stops being science.

Join this important and timely conversation tonight, and bring a friend.

Steve

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Executive summary

Whether the COVID shots had a net mortality benefit is one of the most important questions of our generation. Why can’t we talk about it?

The scientific literature says clearly that the evidence shows scientists should accept public challenges rather than ignore them. Ignoring debate challenges makes that side look weak.

Offer terms

Offer expires March 31, 2026 for one video debate.

I think that the high quality, publicly available government data indicates that it was more likely that the COVID shots had a net negative impact on all-cause mortality.

If you think the opposite, let’s talk about it.

To make it worth your time, we can optionally attach a monetary reward: a nominal $25,000 where the loser pays the winner.

Evidence must be based on differences in all-cause mortality between vaccinated and unvaccinated populations from mid 2021 to the end of 2022 — not counterfactual or simulation-based modeling because if you can’t measure, you can’t determine the parameters for modelling. Analyses that do not account for the healthy vaccinee effect will be given reduced weight by the judge because as Obel points out, that bias is the elephant in room that cannot be neutralized via traditional epi methods.

Claude Opus 4.6 will determine the winner of the debate based on transcripts and screenshots. The judging instance will be a fresh session with no prior context, just the transcript and submitted materials.

This will be a recorded Zoom debate.

Each side can reference:

1. Up to 3 publicly available official government-sourced datasets (OWID charts count as 1 dataset)

2. Up to 5 papers

3. Up to 15 content slides (cover slide doesn’t count)

The datasets, papers, and slides shall be shared at least 20 days prior to the debate. Both sides will then have 10 days to revise their submissions and share their final revised materials 10 days prior to the debate.

The 1 hour debate structure: two phases

Each side will have 10 minutes uninterrupted to present their case to the audience (including Claude). You decide whether you want to go first or second.

During phase 2 of the debate, each side will be able to ask questions of the other side. Each side will have 20 minutes of total floor time in 5 minute chunks to cross examine the other side. Think Senators asking questions of the opposition where the Senators can cut you off since they have 5 minutes of floor time each round. The witness must be responsive to the question rather than trying to change the topic. Ad hominem attacks will be warned by the moderator and the third time it is a default. I want a respectful debate.

The offer is open to any licensed physician as well as any epidemiologist or biostatistician affiliated with any US university.

To accept, we will both sign a written agreement.

If both parties agree to the monetary reward, we will each make a $25K deposit to a mutually agreeable escrow agent within 10 calendar days of signing.

Reply below if you are interested in accepting this offer.

I will review those willing to debate and Claude will choose the person most qualified (based on researching their credentials) and that is who I will negotiate terms with and debate. If we can’t agree on terms, I’ll try the next most qualified person.

I am offering one debate.

There are no tricks or gotchas

This is an important question to resolve. It will not be resolved by publishing competing papers. It can only be resolved through constructive dialog.

I am happy to modify the reward in either direction, including zero. The $25K is a good number because it causes both parties to take the debate seriously.

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Please sign now

Sign here. It takes less than a minute.

For the past 40 years, the system has been rigged.

They mandate the product… then give manufacturers zero liability when it harms you.

Organizations like the AAP push aggressive schedules while the companies behind them face no consequences—no matter what happens.

• No accountability

• No incentive to make safer products

• Just guaranteed customers and zero risk

Why this moment matters

We’ve never had an opportunity like this in 40 years.

• Majority public support for liability

• Active legislation: S. 3853 (Rand Paul), H.R. 4668 (Gosar)

• New leadership at HHS willing to challenge the system

This is real.

The time is NOW

We’re heading into midterms.

Politicians care about one thing: keeping their jobs.

That makes this the moment they’re most vulnerable to pressure.

Miss this window, and it’s gone.

What this does

This petition sends a signal:

• Restore liability

• Restore accountability

• End mandates without recourse

Every signature matters.

Bottom line

Sign it
Share it.

Or sit it out and watch nothing change.

Now is the time.

Thank you for taking action!

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