Tag: safety

Covid injections pose risk of pilots having in-flight seizures even years after having taken a shot

A couple of weeks ago, Dr. Kevin Stillwagon posted an update on pilot incapacitation.  The Federal Aviation Administration does not maintain records of who took covid injections and when, he said.

But it gets worse, he said.  “The FAA stopped entering data into the incapacitation data registry very early in the year 2021 and completely cancelled the program in 2022.”

“Trying to identify risks is even more critical now, because starting in December of 2020, airline pilots were forced to get injected with a product that causes subclinical myocarditis and has been tied to cerebrovascular events, including seizures, even several years after the injections.”

He concluded by issuing a call for pilots and other airline crew members to voluntarily have medical tests done to assess their risk of, for example. an in-flight seizure or cardiac event.

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Tests Find Chinese Manufacturer Can Manipulate Electric Buses in Norway

Safety tests by a public transport operator in Oslo, Norway, conducted have raised grave concerns over Chinese electric buses.

The operator known as Ruter conducted secret trials a few months ago on an electric bus from a European manufacturer and one from China’s Yutong to determine if there were cybersecurity threats, MENAFN reported Wednesday.

The European bus remained secure but the Chinese-made one had the ability to be manipulated by its manufacturer.

The manufacturer has access to buses’ software, diagnostics, and battery control systems, therefore the manufacturer could stop or render the vehicle unusable, Ruter explained.

The article continued:

Arild Tjomsland, a special advisor at the University of South-Eastern Norway who assisted with the tests, emphasized the risks: “The Chinese bus can be stopped, turned off, or receive updates that can destroy the technology that the bus needs to operate normally.”

He noted that while hackers and suppliers cannot steer the buses, the ability to stop them could disrupt operations or serve as leverage during a crisis.

During former President Joe Biden’s (D) push for green energy, Chinese automakers were looking to flood the United States market with cheap electric vehicles (EVs), Breitbart News reported in 2023. The following year, Chinese companies were testing their autonomous vehicles on American roads, raising concerns about the data they were collecting as they mapped the nation.

In addition, Breitbart News reported in September 2024, “The British government’s open-doors approach to electric vehicles from Communist China threatens to undercut domestic manufacturing and expose the country to national security risks, with a think tank warning that EVs could be ‘weaponized’ by Beijing.”

In regard to the issue in Oslo, Ruter Director Bernt Reitan Jenssen said, “We’ve found that everything that is connected poses a risk — and that includes buses. There is a risk that for example suppliers could take control, but also that other players could break into this value chain and influence the buses,” the Economic Times reported Tuesday.

The MENAFN article said the test results were forwarded to officials at the Ministry of Transport and Communications in Norway.

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Is the Extensive US Vaccine Schedule Harmful?

The US childhood vaccination programme is huge, 68 vaccine doses targeting 18 different diseases versus only 17 vaccine doses for 10 diseases in Denmark.1

It is unknown if the net effect of so many vaccinations is beneficial, and in August 2025, two physicians launched a federal lawsuit2 against the Centers for Disease Control and Prevention (CDC) for failing to study the cumulative effects of its childhood vaccine schedule. They noted that “America administers more vaccines than any nation on earth while producing the sickest children in the developed world.”2

Two researchers who have compared countries found a dose-response relationship: Nations that require more vaccines for their infants had higher infant mortality, neonatal mortality, and under age five mortality.3

Paediatric chronic disease prevalence in the US has risen to nearly 30% in the last 20 years,4 and vaccination schedules are among the possible causal factors that Robert F. Kennedy, Jr., Secretary of Health and Human Services, has declared he will investigate. A CDC workgroup will examine if there are any differences in efficacy or safety between the US and Danish schedules.5 They will also look at the the timing, order, and ingredients, e.g. the amount of aluminium, which is pertinent, as aluminium in vaccines is harmful.6

I am aware of only one study in the whole world that used birth cohorts and compared the occurrence of chronic diseases in a vaccinated group with that in an unvaccinated group and that took account of confounders. It was carried out at the Henry Ford Health System in Detroit but was never published because the researchers were warned that it could cost them their jobs.7 The study was completed in 2020, and its results8 came to light on 9 September 2025 because it was introduced into the Congressional Record during a Senate hearing on “The Corruption of Science.”7

For over two decades,5 the Institute of Medicine had urged the CDC to conduct such a study using its Vaccine Safety Datalink, but the CDC never did.

A ground rule in evidence-based medicine is that we should use the best available evidence when we make decisions. As the Henry Ford study is the only one that compared unvaccinated with vaccinated kids for development of chronic diseases and that took account of confounders, it is very important that we examine this study carefully for its validity. 

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Lawsuit Targeting Decades-Old Journal Article Triggers Renewed Scrutiny of Fraudulent Scientific Studies

A lawsuit demanding the retraction of a decades-old peer-reviewed article that claimed the antidepressant paroxetine, sold as Paxil, is safe and effective has put the issue of fraud in scientific and medical journals back in the spotlight, Paul D. Thacker wrote today in The Disinformation Chronicle.

The lawsuit, filed last month against the American Academy of Child & Adolescent Psychiatry and its publisher, Elsevier, demands the retraction of a 2001 article in the Journal of the American Academy of Child & Adolescent Psychiatry (JAACAP).

The article was based on Study 329, which the suit claims distorted data to claim Paxil was effective.

The complaint alleges that JAACAP editors and Elsevier refused to retract the article “in an apparent attempt to shield at least five of the … authors who are prominent members of the AACAP from possible ramifications of retraction.”

Study 329 was ghostwritten by Paxil manufacturer GSK — which Thacker discussed in a 2011 report he republished today.

Several of the journal article’s co-authors worked for GSK or went on to hold key positions within the AACAP.

According to Thacker, one of the co-authors, Stan Kutcher, is now a member of the Canadian Senate and co-founded “Science Up First,” an initiative that purportedly targets scientific “misinformation.”

During a roundtable discussion on the weaponization of science that the MAHA Institute organized last week, Thacker cited Study 329 as an example of fraud in scientific and medical publishing.

Brian Hooker, Ph.D., chief scientific officer for Children’s Health Defense, spoke at the roundtable. He said the discussion, in which “panelists described horror stories of their own scientific research under attack through targeted retractions of papers, denial of research funding, and disciplinary actions,” was “stunning.” He added:

“There is a huge cost in falling out of line with established institutions in science and medicine, whether corporate, university or private organizations. And these highly credentialed panelists paid a huge cost for ‘doing the right thing’ in exposing malfeasance and bad science.”

Research scientist and author James Lyons-Weiler, Ph.D., also participated in the roundtable. He said it “explored how science-like activities have been systematically re-engineered to serve political and corporate interests rather than truth.” He said:

“Study 329 exemplifies the collapse of accountability that follows when industry, regulators and journals form a closed feedback loop of self-validation. What’s marketed as ‘misinformation control’ today is often a continuation of that same pattern — protecting narratives, not people.”

‘One of the best documented case studies of corruption in modern biomedicine’

Study 329, completed in 1998 and funded by GSK, revealed serious safety risks — including suicidal behavior — associated with Paxil. Later studies confirmed those risks.

However, the study showed a few minor positive results that suggested possible efficacy, as it met 15% of the outcomes the researchers had initially said would prove Paxil’s effectiveness.

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We’ve Obtained Data That Could Decommission mRNA Once and for All

We have just stumbled upon a goldmine of new data — the kind of evidence that could decommission mRNA technology once and for all.

For the first time, long-term immune function can be directly compared across four key exposure groups within high-quality electronic medical record datasets from thousands of real patients — capturing every possible combination of vaccination and infection status:

  1. Vaccinated and infected
  2. Vaccinated and uninfected
  3. Unvaccinated and infected
  4. Unvaccinated and uninfected (baseline control)

These data span YEARS before and after COVID-19, giving us the clearest picture yet of how the genetic injections and the virus itself have altered human immunity on a global scale.

The early signals are alarming.
What we are seeing points to a progressive, possibly irreversible immune collapse — a vaccine-acquired immunodeficiency syndrome (VAIDS) — accompanied by surges in autoimmune conditions, chronic infections, cancers, and cardiometabolic disease.

This is not speculation. This is measurable — in lymphocyte counts, antibody profiles, T-cell exhaustion markers, and verified clinical outcomes.

The implications are staggering. And that’s why we need your help.

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Cancer-Causing Drug Banned in Most Countries Still Allowed in U.S. Pork

Cancer remains one of the leading causes of death worldwide, with new cases rising steadily each year. That reality makes it all the more alarming when carcinogens are knowingly allowed to enter the food supply.

In the U.S., one example involves a feed additive used in pig farming that experts have already determined is unsafe at any level of exposure.

The concern is not limited to pork on your plate. Farm workers handling animal feed are directly exposed, and surrounding communities face contamination as waste from large-scale operations seeps into waterways.

When a compound carries risks for consumers, workers and the environment alike, the failure to act quickly carries consequences far beyond the farm.

Many countries have already responded by banning the additive outright, while American regulators have delayed meaningful action for decades. That leaves U.S. consumers vulnerable to a hazard others deemed unacceptable long ago.

This gap between science and policy has sparked closer investigation. Researchers and advocacy groups have examined how the additive persists in the food system and why regulators have been unwilling — or unable — to remove it. Their findings reveal how ongoing delays keep you at risk.

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Pneumonia vaccine may raise risk of pneumonia

A new study published in BMC Infectious Diseases challenges current recommendations for the pneumonia vaccine. Researchers say people who received the shot were actually more likely to develop pneumonia.

“A landmark population-based study published in BMC Infectious Diseases has shattered the rationale for current pneumococcal conjugate vaccine (PCV) recommendations”

Nicolas Hulscher, M.P.H.

Nicolas Hulscher, M.P.H., discusses the findings on CHD.TV and says they could be used to push for changes in vaccine policy.

Watch the video here.

Read the study here.

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Blood Pressure Medication Recalled Due to Possible Carcinogens

More than 580,000 bottles of blood pressure medication are being recalled across the United States due to possible carcinogenic substances, according to a notice from the Food and Drug Administration (FDA).

The recall involves three separate lots of prazosin hydrochloride, a type of alpha-blocking medication, that were distributed by New Jersey-based Teva Pharmaceuticals, because a test result for N-nitroso Prazosin impurity C found that the substance’s levels are above the “acceptable intake limit” under a type of test for carcinogens.

The recall encompasses three dosages for prazosin hydrochloride capsules, according to the notice. They include 181,659 bottles of 1-milligram doses of the drug, 291,512 bottles of 2-milligram doses, and 107,673 bottles of 5-milligram doses.

It means that the medication contained higher than acceptable levels of nitrosamines, which are carcinogenic compounds that can increase the risk of cancer when taken at high doses over long periods.

The FDA classified the recall on Oct. 24 as Class II, which the agency says is a scenario where a product, drug, or food “may cause temporary or medically reversible adverse health consequences” or it includes “an outcome where the probability of serious adverse health consequences is remote.”

The medication bottles were distributed nationwide, it said. The recall, which was initiated voluntarily by Teva Pharmaceuticals, started on Oct. 7.

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What is mirror life? Scientists are sounding the alarm

Scientist Kate Adamala doesn’t remember exactly when she realized her lab at the University of Minnesota was working on something potentially dangerous — so dangerous in fact that some researchers think it could pose an existential risk to all life forms on Earth.

She was one of four researchers awarded a $4 million US National Science Foundation grant in 2019 to investigate whether it’s possible to produce a mirror cell, in which the structure of all of its component biomolecules is the reverse of what’s found in normal cells.

The work was important, they thought, because such reversed cells, which have never existed in nature, could shed light on the origins of life and make it easier to create molecules with therapeutic value, potentially tackling significant medical challenges such as infectious disease and superbugs. But doubt crept in.

“It was never one light bulb moment. It was kind of a slow boiling over a few months,” Adamala, a synthetic biologist, said. People started asking questions, she added, “and we thought we can answer them, and then we realized we cannot.”

The questions hinged on what would happen if scientists succeeded in making a “mirror organism” such as a bacterium from molecules that are the mirror images of their natural forms. Could it inadvertently spread unchecked in the body or an environment, posing grave risks to human health and dire consequences for the planet? Or would it merely fizzle out and harmlessly disappear without a trace?

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The Covid Re-Review Project: All Models Are Wrong, and Some Are Dangerous

Iwelcome Eyal Shahar’s call for a re-review of Covid vaccine papers. In fact, I started long before Eyal blew the whistle — even before the vaccines appeared.

At the end of the terrible year 2020, a highly influential paper appeared in Science. It made headlines in major media outlets around the world. The paper, titled “Inferring the effectiveness of government interventions against COVID-19,” was soon used by governments across the globe to justify their increasingly authoritarian policies.

It attracted my attention because the last author was Czech mathematician Jan Kulveit. Together with my two colleagues, Ondřej Vencálek and Jakub Dostál, we wrote the following response:

“All models are wrong, but some are useful“ goes a famous saying usually attributed to George Box. Today, he would perhaps say that all models are wrong, and some are even dangerous. This, in our opinion, is the case for the study “Inferring the effectiveness of government interventions against COVID-19”1 that appeared in Science and received widespread attention around the world. 

The study aims at understanding the effectiveness of non-pharmaceutical interventions (NPIs) in controlling the Covid-19 pandemic. The authors analyze data on the total case counts and death counts from 41 (mostly European) countries between January and the end of May 2020. They produce an estimate of the effects of 8 different NPIs (such as limiting gatherings of people, closing schools, etc.) which were implemented in many countries during the studied period. The effect of each NPI is quantified by the reduction in the infection reproduction number R at the time of the NPI imposition in the respective country. 

The results have been widely welcomed because they seem to show that all of the NPIs generally work, and the effect sizes seem to agree with the common sense (e.g. the more you restrict gatherings, the greater reduction of R you obtain). Governments across the world will be very happy to hear that the restrictions they imposed were justified. But were they?

In fact, we do not know, and this study does not help us to find out. We argue that there is a fatal flaw in the model which renders it useless. Looking at the only equation in the body of the paper (see the “Short model description” section), we see that the authors assume the underlying (unobservable) basic reproduction number R0,c to be constant in time for each country. This basic reproduction number is then multiplied by the effects of the NPIs and this is fitted to data. Thus, the model assumes that any change in the dynamic of the epidemic is due to the NPIs. This is deceptive because it is circular. If you want to quantify the effects of an intervention, you cannot assume that all the observed effects are due to the very intervention. 

Also, this assumption of constant R0,c suggests why the authors chose to stop modeling once any NPI is lifted. The NPIs are usually lifted as the epidemic dwindles. Thus, the NPIs are present when R is high, and they are absent when R is low. With data from a longer time interval (including the summer period of low prevalence and relaxed NPIs), the simple model the authors used would learn a negative effect – that NPIs speed up the epidemic. This was clearly undesirable, so the authors chose not to use the data from the summer to fit the model. Such modeling strategy is highly questionable.

To make our point completely clear, we performed the following experiment. We took the original dataset2 and invented a new NPI that never existed. Let us say that from the imposition of this new NPI on, each citizen was required to wear a T-shirt with a “Stop-Covid” inscription, until this NPI was lifted. 

We drew a random date uniformly from the period over which a particular country was modeled, and “imposed” this T-shirt NPI on the data (see reference [3] for the original dataset with the T-shirt NPI added). We did not change the numbers of cases and deaths anyhow. Such an NPI never existed and so it could not have had any effect. We then ran the original model (see reference [4] for the link to GitHub to the version we used) without touching any parameters. The result is shown in Figure 1. The T-shirts almost made the pandemic go away!

How is this possible? Every epidemic has its intrinsic dynamics. The simplest SIR model produces a single peak in the number of active cases. If we want to reproduce such a peak with a simple exponential function (which is what the authors do), the coefficient in the exponent (i.e. the empirical reproduction number) must decrease in time from the beginning of the first wave. Thus, assuming that any effect on the reproduction number is due to NPIs, the model cannot produce anything other than assign a positive effect (i.e. a reduction in R) to any NPI. Even to a nonexistent one, as we have shown.

Thus, in our view the model is deceptive and very dangerous, because it can be used by the governments to retrospectively justify any NPI they chose to impose on the people. We do not claim that some/all of the NPIs have not had a positive effect. We only say that this model is no way to find out.

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