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Trust “The Science”?

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From the Brownstone Institute

BY Justin HartJUSTIN HART

Thanksgiving weekend came and went in 2021. The soothsayers of Team Apocalypse were wrong again—the sky didn’t fall. Whole populations of families who dared to get together to celebrate were not wiped out. But that didn’t stop NIAID Director Dr. Anthony Fauci. The Covid fatality rate doesn’t hold a candle to the risk of standing between Dr. Fauci and a camera. After a few softball questions the television host of CBS’s Face the Nation asked Dr. Fauci about recent criticism of him from various corners. He replied:

So, it’s easy to criticize, but they’re really criticizing science because I represent science. That’s dangerous. To me, that’s more dangerous than the slings and the arrows that get thrown at me. I’m not going to be around here forever, but science is going to be here forever. And if you damage science, you are doing something very detrimental to society long after I leave. And that’s what I worry about.[i]

It is indeed dangerous to claim to represent science. Science doesn’t need sales reps, since it is the conceptualization of physical reality itself as determined by experiment and data. What Fauci truly represented is the authoritarian State with a capital “S.”

Emails released through the Freedom of Information Act show Fauci to be a manipulative man of politics, deftly brushing off lengthy diatribes against him or mustering forces to push back on Team Reality. It really is quite the position to be in as the highest paid federal employee in history to call upon the systematic enterprise of knowledge known as “science” to shield you from criticism.[ii]

The damage wrought upon our science as an actual institution is incalculable. As Dr. Jay Bhattacharya noted: “The current generation of top public health leaders will need to step down before trust is restored.”[iii]

The science is not what they say it is and you are not required to acquiesce to anyone’s determinations but your own. Indeed, when someone declares themselves to be the voice of authority in all things—run.

Science and the Application of Science Are Not the Same Thing

One keen realization our society must grapple with is separating the science from the application of that science. The science may indeed dictate that we experienced the spread of a highly transmissible deadly viral aerosolized respiratory pathogen, but it does not follow that you need to lose your job after that. Or that we ought to destroy the economy of a country. Or deprive a generation of children of proper learning.

Dr. Scott Atlas was lambasted by Team Apocalypse again and again for not being a virologist, but he was not sent to the White House to fix “the science”—he was there to fix the policy. Indeed, Dr. Atlas had keen and deep expertise in the application of science to public policy, something Dr. Fauci has failed at again and again in his career.

Our Constitution affords US citizens many enumerated rights and protections in our pursuit of happiness. Many of these endowed freedoms are couched in language specifically protecting us from the government writ large. While courts might attest to some extreme event placing some of these rights into dormancy, it did not give Dr. Fauci the right to put our rights, indeed our whole Constitution, into a coma.

The Institutions Lie. And Lie. And Lie.

Myriad once-trusted institutions have suffered greatly under the boom which Dr. Fauci and company lowered onto the American people and, frankly, the world.

The CDC has lost immense trust on all sides. From Dr. Redfield’s declaration that masks are better than vaccines to Dr. Walensky selling you a non-sterilizing sterilizing vaccine—this institution has wreaked the greatest havoc over the entire pandemic. They manipulated data, hid data, ignored data, invented data, deleted data, dismissed data, and all around succumbed to political pressure.  Whether it was from teachers’ unions or a meddling White House, the CDC failed to provide any real leadership. With a budget of billions and over twenty thousand employees the amount of work they produced was puny and questionable at every step.

The National Institute of Health (NIH) is another behemoth that needs a thorough cleaning. Their (now) former director, Francis Collins, penned the infamous email calling out the signers of the Great Barrington Declaration.

“This proposal from the three fringe epidemiologists . . . seems to be getting a lot of attention—and even a co-signature from Nobel Prize winner Mike Leavitt at Stanford. There needs to be a quick and devastating published take down of its premises,” Collins ends the email: “Is it underway?”[iv]

If it wasn’t, the establishment institutional heads got in gear and made sure to jumpstart the process of attempting to destroy the reputations of the signers, all manifestly qualified and fantastically credentialled scientists and doctors.

The National Institute of Allergy and Infectious Diseases (NIAID) headed by Dr. Fauci is one of the key culprits stalling any real progress on trust and communication around these vital topics. Fauci and Collins are keenly involved with all areas of research in this federal healthcare monstrosity and influence millions of dollars in grants given every year. No wonder the spectrum of literature produced here did little to further any alternate views on lockdowns, masking, vaccines, and other COVID-19 implementations. The folks setting the policy also hold the purse strings.

It was obvious from the get-go that the structure of our county-centric administration of health policy was going to be problematic. These local health directors and advisors have little if any accountability. They are unelected bureaucrats and were given immense powers over the lives of citizens in their areas. The replete inconsistency with how federal health policy and information was conveyed to the public is an embarrassment. These county entities were given massive outlays of taxpayer dollars for the fruitless effort of contact tracing. The impact was not just on our wallets. As Jay Bhattacharya noted: “Hospital staffing shortages are at least in part due to rigidly enforced vaccine mandates and to mass asymptomatic testing and contact tracing. How many more people must suffer because of the monomaniacal focus on COVID at the expense of public health?” Contact tracing at the county level became a de facto quarantine machine, especially for students.

Most did it, many of us knowing it was pointless. But the pointlessness became the point. Comply, or you are a bad person. Comply or it’s no more school for you.

And comply many people did, thinking they would weather the madness, counting the cost on their hearts and spirits as worth the sacrifice for their children’s education. One more stricture, and the schools will open. Follow one more edict and the playground tape will come off. And so it went for two plus years. So it still goes in many places. We were duped, but we also duped ourselves.

Public Trust Was Destroyed

The impact on the public trust is massive. Curiously, after the 2009 H1N1 debacle, an article was published on the NIH website entitled: “’Listen to the People:’ Public Deliberation About Social Distancing Measures in a Pandemic”[v] The article notes the vital need for good and honest communication to the public about measures being taken the protect the citizenry. It notes: “Public engagement in ethically laden pandemic planning decisions may be important for transparency, creating public trust, improving compliance with public health orders, and ultimately, contributing to just outcomes.”

Ya’ think? This is something at which Fauci and company dramatically failed. At one point, early in the pandemic, Fauci advised against face masks but later admitted he was telling this “noble lie” to slow the impact on material needs and hospital settings. Honesty was a not a key feature of this pandemic.

The report continues: “We conducted focus groups with members of the public to characterize public perceptions about social distancing measures likely to be implemented during a pandemic. Participants expressed concerns about job security and economic strain on families if businesses or school closures are prolonged. They shared opposition to closure of religious organizations, citing the need for shared support and worship during times of crises.”

It was all right there. It is on the website of the National Institute of Health.

They ignored all of it.

The report concludes: “Social distancing measures may be challenging to implement and sustain due to strains on family resources and lack of trust in government.”

What a stark and terrible reminder that the institutions which prized themselves on public health damaged the public more than anything else. Your trust should be in the bedrock of our Constitution, not in some self-endowed title of “Science.”

Reprinted from the author’s Substack

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  • Justin Hart

    Justin Hart is an executive consultant with over 25 years experience creating data-driven solutions for Fortune 500 companies and Presidential campaigns alike. Mr. Hart is the Chief Data Analyst and founder of RationalGround.com which helps companies, public policy officials, and even parents gauge the impact of COVID-19 across the country. The team at RationalGround.com offers alternative solutions on how to move forward during this challenging pandemic.

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Brownstone Institute

Net Zero: The Mystery of the Falling Fertility

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From the Brownstone Institute

By Tomas FurstTomas Fürst  

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.

Figure 1. The evolution of Total Fertility Rate in selected European countries between 2000 and 2023. The data corresponding to a particular year are plotted at the end of the column representing that year.

So, by the end of 2023, the following two points were clear:

  1. 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.
  1. 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 2A. Histogram showing the percentage of women in the Czech Republic aged 18–39 years who were vaccinated with at least one dose of a Covid-19 vaccine by the end of the respective month. Figure 2B. Estimates of the number of successful conceptions (SCs) per 1,000 women aged 18–39 years according to their pre-conception Covid vaccination status. The blue-shaded areas in Figure 1B show the intervals between the lower and upper estimates of the true SC rates for women vaccinated (dark blue) and unvaccinated (light blue) before conception.

Figure 2 reveals several interesting patterns that I list here in order of importance:

  1. 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.
  2. 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.
  3. 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

Tomas Furst

Tomas Fürst teaches applied mathematics at Palacky University, Czech Republic. His background is in mathematical modelling and Data Science. He is a co-founder of the Association of Microbiologists, Immunologists, and Statisticians (SMIS) which has been providing the Czech public with data-based and honest information about the coronavirus epidemic. He is also a co-founder of a “samizdat” journal dZurnal which focuses on uncovering scientific misconduct in Czech Science.

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Brownstone Institute

FDA Exposed: Hundreds of Drugs Approved without Proof They Work

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From the Brownstone Institute

By Maryanne Demasi

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 Brownleepublished 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.

Republished from the author’s Substack

 

Author

Maryanne Demasi, 2023 Brownstone Fellow, is an investigative medical reporter with a PhD in rheumatology, who writes for online media and top tiered medical journals. For over a decade, she produced TV documentaries for the Australian Broadcasting Corporation (ABC) and has worked as a speechwriter and political advisor for the South Australian Science Minister.

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