Brownstone Institute
The Illusion of Consensus

From the Brownstone Institute
BY
Science is the process by which we learn about the workings of material reality. Though modern innovations – built on the fruits of science – would look like magic to people living only decades ago, they result from the time-tested scientific method.
Contrary perhaps to media portrayals of science, the scientific method depends not on the existence of a mythical consensus but rather on structured scientific debates. If there is a consensus, science challenges it with new hypotheses, experiments, logic, and critical thinking. Ironically, science advances because it believes it has never arrived; consensus is the hallmark of dead science.
One of us is a college student with an unpremeditated career in alternative indie journalism. The other is a professor of health policy at Stanford University School of Medicine with an MD, a Ph.D. in economics, and decades of experience writing on infectious disease epidemiology. Despite the wealth of differences in our backgrounds and experiences, we converge on foundational scientific and ethical principles that public health authorities abandoned during the Covid pandemic. Principles like evidence-based medicine, informed consent, and the necessity of scientific debate serve as the bedrock on which the public can have confidence that science and public health work for the benefit of the people rather than regardless of it.
The illusion of scientific consensus throughout the COVID-19 pandemic led to disastrous policies, with lockdowns the primary example. It was clear even on the eve of the lockdowns in 2020 that the economic dislocation caused by them would throw tens of millions worldwide into food insecurity and deep poverty, which has indeed come to pass.
It was clear that school closures – in some places lasting two years or longer – would devastate children’s life opportunities and future health and well-being wherever they were implemented. The emerging picture of catastrophic learning loss, especially among poor and minority children (with fewer resources available to replace lost schooling), means that lockdowns will fuel generational poverty and inequality in the coming decades.
And the empirical evidence from places like Sweden, which did not impose draconian lockdowns or close schools and which have among the lowest rate of all-cause excess death in Europe, suggests that lockdowns failed even narrowly to protect population health during the pandemic.
The illusion of consensus around the proper use of the Covid vaccines was another major public health disaster. Public health officials everywhere touted the randomized trials on the Covid vaccines as providing complete protection against getting and spreading Covid. However, the trials themselves did not have the prevention of infection or transmission as a measured endpoint.
Rather, the trials measured protection against symptomatic disease for two months after a two-dose vaccination sequence. Prevention of symptomatic infection is obviously a distinct clinical endpoint from prevention of infection or transmission for a virus that can spread asymptomatically. In the fall of 2020, Moderna chief medical officer Tal Zaks told the BMJ, “Our trial will not demonstrate prevention of transmission…because in order to do that, you have to swab people twice a week for very long periods, and that becomes operationally untenable.”
Despite these facts, public health officials botched the public health messaging surrounding the Covid vaccines. Based on an illusion of scientific consensus, public health authorities, politicians, and the media pushed vaccine mandates, vaccine passports, and vaccine discrimination.
Prominent officials, including Anthony Fauci and CDC Director Rochelle Walensky, told the public that science had established that covid vaccines stop transmission. CNN anchor Don Lemon advocated for “shaming” and “leaving behind” unvaccinated citizens from society. Countries such as Italy, Greece, and Austria sought to punish their unvaccinated citizens with heavy financial penalties of up to $4,108. In Canada, the government stripped unvaccinated citizens of their rights to travel anywhere via plane or train and their ability to work at banks, law firms, hospitals, and all federally regulated industries.
The premise was that only the unvaccinated are at risk of spreading covid. An illusion of consensus emerged that getting the shots was a required civic duty. Phrases such as “It’s not about you, it’s to protect my grandparents” became widely popularized. Ultimately, as people observed many vaccinated people around them contract and spread Covid, the public trust in these authorities collapsed.
Early last month, the Biden administration extended its foreign traveler mRNA vaccine requirement to May 11th (which is now coming to an end) after the restriction was set to expire on April 11th. None of these policies ever had any scientific or public health rationale or epidemiological “consensus” to support them— and they certainly do not in 2023.
Related errors are overstating the necessity of the Covid vaccine for the young and healthy and downplaying the possibility of severe side effects, such as myocarditis which has been found mainly in young men taking the vaccine. The primary benefit of the Covid vaccine is to reduce the risk of hospitalization or death upon covid infection. There is more than a thousand-fold difference in the mortality risk from covid infection, with children and young and healthy people facing an extremely low risk relative to other risks in their lives.
On the other hand, the mortality risk for older people from infection is considerably higher. So the maximum theoretical benefit of the vaccine is meager for young, healthy people and children, while it is potentially higher for elderly people with multiple comorbid conditions.
Institutional public health and medicine ignored these facts in the push to vaccinate the entire population, regardless of the balance of benefits and harms from the vaccine. Public health should have cautioned young and/or healthy people regarding the uncertainty regarding vaccine safety for a novel vaccine.
For the young and healthy, the small potential benefit does not outweigh the risk, which – with the early myocarditis signals – turned out not to be theoretical in nature. A rigorous independent analysis of Pfizer and Moderna’s safety data shows that mRNA covid vaccines are associated with a 1 in 800 adverse event rate — substantially higher than other vaccines on the market (typically in the ballpark of 1 in a million adverse event rates).
To maintain an illusion of consensus, public health authorities and media thought it necessary to suppress these facts. In June 2021, for instance, Joe Rogan stated healthy 21-year-olds do not need the vaccine. Despite his correct medical judgment which has indisputably stood the test of time, all sectors of the corporate media and social media platforms unanimously pilloried him for spreading “dangerous misinformation.”
Worse, many people who suffered from legitimate vaccine injuries were gaslighted by the media and medical personnel about the cause of their condition. One of us has devoted the past several months interviewing victims of the illusory scientific consensus that covid vaccines are on net beneficial for every group. For example, there is a 38-year-old law enforcement officer in British Columbia who was coerced into vaccination against his conscience to keep his job.
Nearly two years later, he remains disabled from vaccine-induced myocarditis and has been unable to serve his community. National data from countries in France, Sweden, Germany, Israel, and the United States shows a substantial rise in cardiac conditions among younger populations after the distribution of the Covid vaccine.
The illusion of consensus surrounding Covid vaccination — wrongly viewed in the same light as hand-washing, driving within speed limits, or staying hydrated — has led to greater political divisions and discriminatory rhetoric. The failure of the traditionally well-regarded public health agencies like the FDA and CDC – with perverse influences from pharmaceutical companies in tandem with the powerful forces of censorship on social media — has destroyed trust in public health institutions. Disillusioned with the “illusion” of consensus, a growing number of Americans and Canadians are distrustful of scientific consensus and are beginning to question all things.
The project of science calls for rigor, humility, and open discussion. The pandemic has revealed the stunning magnitude of the political and institutional capture of science. For this reason, both of us — Rav and Jay — are launching a podcast devoted to investigating the concoction of pseudo-consensus in science and its ramifications for our society.
You can subscribe to the authors’ new Substack and Podcast
Brownstone Institute
Net Zero: The Mystery of the Falling Fertility

From the Brownstone Institute
By
If you want to argue that a mysterious factor X is responsible for the drop in fertility, you will have to explain (1) why the factor affected only the vaccinated, and (2) why it started affecting them at about the time of vaccination.
In January 2022, the number of children born in the Czech Republic suddenly decreased by about 10%. By the end of 2022, it had become clear that this was a signal: All the monthly numbers of newborns were mysteriously low.
In April 2023, I wrote a piece for a Czech investigative platform InFakta and suggested that this unexpected phenomenon might be connected to the aggressive vaccination campaign that had started approximately 9 months before the drop in natality. Denik N – a Czech equivalent of the New York Times – immediately came forward with a “devastating takedown” of my article, labeled me a liar and claimed that the pattern can be explained by demographics: There were fewer women in the population and they were getting older.
To compare fertility across countries (and time), the so-called Total Fertility Rate (TFR) is used. Roughly speaking, it is the average number of children that are born to a woman over her lifetime. TFR is independent of the number of women and of their age structure. Figure 1 below shows the evolution of TFR in several European countries between 2001 and 2023. I selected countries that experienced a similar drop in TFR in 2022 as the Czech Republic.

So, by the end of 2023, the following two points were clear:
- The drop in natality in the Czech Republic in 2022 could not be explained by demographic factors. Total fertility rate – which is independent of the number of women and their age structure – dropped sharply in 2022 and has been decreasing ever since. The data for 2024 show that the Czech TFR has decreased further to 1.37.
- Many other European countries experienced the same dramatic and unexpected decrease in fertility that started at the beginning of 2022. I have selected some of them for Figure 1 but there are more: The Netherlands, Norway, Slovakia, Slovenia, and Sweden. On the other hand, there are some countries that do not show a sudden drop in TFR, but rather a steady decline over a longer period (e.g. Belgium, France, UK, Greece, or Italy). Notable exceptions are Bulgaria, Spain, and Portugal where fertility has increased (albeit from very low numbers). The Human Fertility Project database has all the numbers.
This data pattern is so amazing and unexpected that even the mainstream media in Europe cannot avoid the problem completely. From time to time, talking heads with many academic titles appear and push one of the politically correct narratives: It’s Putin! (Spoiler alert: The war started in February 2022; however, children not born in 2022 were not conceived in 2021). It’s the inflation caused by Putin! (Sorry, that was even later). It’s the demographics! (Nope, see above, TFR is independent of the demographics).
Thus, the “v” word keeps creeping back into people’s minds and the Web’s Wild West is ripe with speculation. We decided not to speculate but to wrestle some more data from the Czech government. For many months, we were trying to acquire the number of newborns in each month, broken down by age and vaccination status of the mother. The post-socialist health-care system of our country is a double-edged sword: On one hand, the state collects much more data about citizens than an American would believe. On the other hand, we have an equivalent of the FOIA, and we are not afraid to use it. After many months of fruitless correspondence with the authorities, we turned to Jitka Chalankova – a Czech Ron Johnson in skirts – who finally managed to obtain an invaluable data sheet.
To my knowledge, the datasheet (now publicly available with an English translation here) is the only officially released dataset containing a breakdown of newborns by the Covid-19 vaccination status of the mother. We requested much more detailed data, but this is all we got. The data contains the number of births per month between January 2021 and December 2023 given by women (aged 18-39) who were vaccinated, i.e., had received at least one Covid vaccine dose by the date of delivery, and by women who were unvaccinated, i.e., had not received any dose of any Covid vaccine by the date of delivery.
Furthermore, the numbers of births per month by women vaccinated by one or more doses during pregnancy were provided. This enabled us to estimate the number of women who were vaccinated before conception. Then, we used open data on the Czech population structure by age, and open data on Covid vaccination by day, sex, and age.
Combining these three datasets, we were able to estimate the rates of successful conceptions (i.e., conceptions that led to births nine months later) by preconception vaccination status of the mother. Those interested in the technical details of the procedure may read Methods in the newly released paper. It is worth mentioning that the paper had been rejected without review in six high-ranking scientific journals. In Figure 2, we reprint the main finding of our analysis.

Figure 2 reveals several interesting patterns that I list here in order of importance:
- Vaccinated women conceived about a third fewer children than would be expected from their share of the population. Unvaccinated women conceived at about the same rate as all women before the pandemic. Thus, a strong association between Covid vaccination status and successful conceptions has been established.
- In the second half of 2021, there was a peak in the rate of conceptions of the unvaccinated (and a corresponding trough in the vaccinated). This points to rather intelligent behavior of Czech women, who – contrary to the official advice – probably avoided vaccination if they wanted to get pregnant. This concentrated the pregnancies in the unvaccinated group and produced the peak.
- In the first half of 2021, there was significant uncertainty in the estimates of the conception rates. The lower estimate of the conception rate in the vaccinated was produced by assuming that all women vaccinated (by at least one dose) during pregnancy were unvaccinated before conception. This was almost certainly true in the first half of 2021 because the vaccines were not available prior to 2021. The upper estimate was produced by assuming that all women vaccinated (by at least one dose) during pregnancy also received at least one dose before conception. This was probably closer to the truth in the second part of 2021. Thus, we think that the true conception rates for the vaccinated start close to the lower bound in early 2021 and end close to the upper bound in early 2022. Once again, we would like to be much more precise, but we have to work with what we have got.
Now that the association between Covid-19 vaccination and lower rates of conception has been established, the one important question looms: Is this association causal? In other words, did the Covid-19 vaccines really prevent women from getting pregnant?
The guardians of the official narrative brush off our findings and say that the difference is easily explained by confounding: The vaccinated tend to be older, more educated, city-dwelling, more climate change aware…you name it. That all may well be true, but in early 2022, the TFR of the whole population dropped sharply and has been decreasing ever since.
So, something must have happened in the spring of 2021. Had the population of women just spontaneously separated into two groups – rednecks who wanted kids and didn’t want the jab, and city slickers who didn’t want kids and wanted the jab – the fertility rate of the unvaccinated would indeed be much higher than that of the vaccinated. In that respect, such a selection bias could explain the observed pattern. However, had this been true, the total TFR of the whole population would have remained constant.
But this is not what happened. For some reason, the TFR of the whole population jumped down in January 2022 and has been decreasing ever since. And we have just shown that, for some reason, this decrease in fertility affected only the vaccinated. So, if you want to argue that a mysterious factor X is responsible for the drop in fertility, you will have to explain (1) why the factor affected only the vaccinated, and (2) why it started affecting them at about the time of vaccination. That is a tall order. Mr. Occam and I both think that X = the vaccine is the simplest explanation.
What really puzzles me is the continuation of the trend. If the vaccines really prevented conception, shouldn’t the effect have been transient? It’s been more than three years since the mass vaccination event, but fertility rates still keep falling. If this trend continues for another five years, we may as well stop arguing about pensions, defense spending, healthcare reform, and education – because we are done.
We are in the middle of what may be the biggest fertility crisis in the history of mankind. The reason for the collapse in fertility is not known. The governments of many European countries have the data that would unlock the mystery. Yet, it seems that no one wants to know.
Author
Brownstone Institute
FDA Exposed: Hundreds of Drugs Approved without Proof They Work

From the Brownstone Institute
By
The US Food and Drug Administration (FDA) has approved hundreds of drugs without proof that they work—and in some cases, despite evidence that they cause harm.
That’s the finding of a blistering two-year investigation by medical journalists Jeanne Lenzer and Shannon Brownlee, published by The Lever.
Reviewing more than 400 drug approvals between 2013 and 2022, the authors found the agency repeatedly ignored its own scientific standards.
One expert put it bluntly—the FDA’s threshold for evidence “can’t go any lower because it’s already in the dirt.”
A System Built on Weak Evidence
The findings were damning—73% of drugs approved by the FDA during the study period failed to meet all four basic criteria for demonstrating “substantial evidence” of effectiveness.
Those four criteria—presence of a control group, replication in two well-conducted trials, blinding of participants and investigators, and the use of clinical endpoints like symptom relief or extended survival—are supposed to be the bedrock of drug evaluation.
Yet only 28% of drugs met all four criteria—40 drugs met none.
These aren’t obscure technicalities—they are the most basic safeguards to protect patients from ineffective or dangerous treatments.
But under political and industry pressure, the FDA has increasingly abandoned them in favour of speed and so-called “regulatory flexibility.”
Since the early 1990s, the agency has relied heavily on expedited pathways that fast-track drugs to market.
In theory, this balances urgency with scientific rigour. In practice, it has flipped the process. Companies can now get drugs approved before proving that they work, with the promise of follow-up trials later.
But, as Lenzer and Brownlee revealed, “Nearly half of the required follow-up studies are never completed—and those that are often fail to show the drugs work, even while they remain on the market.”
“This represents a seismic shift in FDA regulation that has been quietly accomplished with virtually no awareness by doctors or the public,” they added.
More than half the approvals examined relied on preliminary data—not solid evidence that patients lived longer, felt better, or functioned more effectively.
And even when follow-up studies are conducted, many rely on the same flawed surrogate measures rather than hard clinical outcomes.
The result: a regulatory system where the FDA no longer acts as a gatekeeper—but as a passive observer.
Cancer Drugs: High Stakes, Low Standards
Nowhere is this failure more visible than in oncology.
Only 3 out of 123 cancer drugs approved between 2013 and 2022 met all four of the FDA’s basic scientific standards.
Most—81%—were approved based on surrogate endpoints like tumour shrinkage, without any evidence that they improved survival or quality of life.
Take Copiktra, for example—a drug approved in 2018 for blood cancers. The FDA gave it the green light based on improved “progression-free survival,” a measure of how long a tumour stays stable.
But a review of post-marketing data showed that patients taking Copiktra died 11 months earlier than those on a comparator drug.
It took six years after those studies showed the drug reduced patients’ survival for the FDA to warn the public that Copiktra should not be used as a first- or second-line treatment for certain types of leukaemia and lymphoma, citing “an increased risk of treatment-related mortality.”
Elmiron: Ineffective, Dangerous—And Still on the Market
Another striking case is Elmiron, approved in 1996 for interstitial cystitis—a painful bladder condition.
The FDA authorized it based on “close to zero data,” on the condition that the company conduct a follow-up study to determine whether it actually worked.
That study wasn’t completed for 18 years—and when it was, it showed Elmiron was no better than placebo.
In the meantime, hundreds of patients suffered vision loss or blindness. Others were hospitalized with colitis. Some died.
Yet Elmiron is still on the market today. Doctors continue to prescribe it.
“Hundreds of thousands of patients have been exposed to the drug, and the American Urological Association lists it as the only FDA-approved medication for interstitial cystitis,” Lenzer and Brownlee reported.
“Dangling Approvals” and Regulatory Paralysis
The FDA even has a term—”dangling approvals”—for drugs that remain on the market despite failed or missing follow-up trials.
One notorious case is Avastin, approved in 2008 for metastatic breast cancer.
It was fast-tracked, again, based on ‘progression-free survival.’ But after five clinical trials showed no improvement in overall survival—and raised serious safety concerns—the FDA moved to revoke its approval for metastatic breast cancer.
The backlash was intense.
Drug companies and patient advocacy groups launched a campaign to keep Avastin on the market. FDA staff received violent threats. Police were posted outside the agency’s building.
The fallout was so severe that for more than two decades afterwards, the FDA did not initiate another involuntary drug withdrawal in the face of industry opposition.
Billions Wasted, Thousands Harmed
Between 2018 and 2021, US taxpayers—through Medicare and Medicaid—paid $18 billion for drugs approved under the condition that follow-up studies would be conducted. Many never were.
The cost in lives is even higher.
A 2015 study found that 86% of cancer drugs approved between 2008 and 2012 based on surrogate outcomes showed no evidence that they helped patients live longer.
An estimated 128,000 Americans die each year from the effects of properly prescribed medications—excluding opioid overdoses. That’s more than all deaths from illegal drugs combined.
A 2024 analysis by Danish physician Peter Gøtzsche found that adverse effects from prescription medicines now rank among the top three causes of death globally.
Doctors Misled by the Drug Labels
Despite the scale of the problem, most patients—and most doctors—have no idea.
A 2016 survey published in JAMA asked practising physicians a simple question—what does FDA approval actually mean?
Only 6% got it right.
The rest assumed that it meant the drug had shown clear, clinically meaningful benefits—such as helping patients live longer or feel better—and that the data was statistically sound.
But the FDA requires none of that.
Drugs can be approved based on a single small study, a surrogate endpoint, or marginal statistical findings. Labels are often based on limited data, yet many doctors take them at face value.
Harvard researcher Aaron Kesselheim, who led the survey, said the results were “disappointing, but not entirely surprising,” noting that few doctors are taught about how the FDA’s regulatory process actually works.
Instead, physicians often rely on labels, marketing, or assumptions—believing that if the FDA has authorized a drug, it must be both safe and effective.
But as The Lever investigation shows, that is not a safe assumption.
And without that knowledge, even well-meaning physicians may prescribe drugs that do little good—and cause real harm.
Who Is the FDA Working for?
In interviews with more than 100 experts, patients, and former regulators, Lenzer and Brownlee found widespread concern that the FDA has lost its way.
Many pointed to the agency’s dependence on industry money. A BMJ investigation in 2022 found that user fees now fund two-thirds of the FDA’s drug review budget—raising serious questions about independence.

Yale physician and regulatory expert Reshma Ramachandran said the system is in urgent need of reform.
“We need an agency that’s independent from the industry it regulates and that uses high-quality science to assess the safety and efficacy of new drugs,” she told The Lever. “Without that, we might as well go back to the days of snake oil and patent medicines.”
For now, patients remain unwitting participants in a vast, unspoken experiment—taking drugs that may never have been properly tested, trusting a regulator that too often fails to protect them.
And as Lenzer and Brownlee conclude, that trust is increasingly misplaced.
- Investigative report by Jeanne Lenzer and Shannon Brownlee at The Lever [link]
- Searchable public drug approval database [link]
- See my talk: Failure of Drug Regulation: Declining standards and institutional corruption
Republished from the author’s Substack
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