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Study showing ‘high likelihood’ of link between COVID vaccines and death republished in peer-reviewed journal

Published

7 months ago

9 minute read

From LifeSiteNews

By Dr. Suzanne Burdick, The Defender

The largest COVID-19 vaccine autopsy study to date has been republished in a peer-reviewed journal after twice being censored. The study’s lead author said it provides ‘robust evidence’ that the vaccines can cause death, meeting the FDA’s criteria for ‘an immediate market withdrawal.’

The largest COVID-19 vaccine autopsy study to date has been republished in a peer-reviewed journal — after twice being censored, according to Nicolas Hulscher, the paper’s lead author and an epidemiologist at the McCullough Foundation.

Science, Public Health Policy and the Law on Nov. 17 published the study, which had been previously withdrawn from Preprints with The Lancet and Forensic Science International.

Hulscher told The Defender the study’s republication signals a “pivotal victory for transparency and accountability in science.” It also marks “a significant setback” for actors in the biopharmaceutical complex and “their Academic Publishing Cartel,” Hulscher said.

Hulscher’s co-authors include Dr. Harvey Risch, Dr. Peter A. McCullough and Dr. William Makis.

Hulscher told The Defender the study provides “robust evidence that COVID-19 vaccines can cause death. This means that the FDA’s [U.S. Food and Drug Administration] criteria for a Class I recall have been fulfilled, warranting an immediate market withdrawal.”

The FDA defines a Class I product recall as “a situation in which there is a reasonable probability that the use of or exposure to a violative product will cause serious adverse health consequences or death.”

In ‘striking act of censorship’ publishers withdraw study, shut down debate

The study’s publication in Science, Public Health Policy and the Law is the latest twist in an ongoing saga as the authors have tried to get their research out to the public and scientific community, Hulscher wrote on Substack.

The study results were first made public on July 5, 2023, as a preprint with The Lancet on SSRN, an open-access research platform.

However, Preprints with The Lancet removed the study from the server within 24 hours, posting a statement that the study’s conclusions were “not supported by the study methodology,” The Daily Sceptic reported.

McCullough told The Epoch Times that the study was experiencing “hundreds of reviews per minute” before its removal.

Preprint servers offer a place for the public to view scientific reports and papers while they undergo peer review, making scientific findings available immediately and for free and opening them up to broader public debate.

The authors subsequently posted on the Zenodo preprint server, while the review underwent peer review at Forensic Science International. It was downloaded over 130,000 times.

On June 21, 2024, after successful peer review, Forensic Science International published the study.

Within weeks, the study became the top trending research paper worldwide across all subject areas, according to the Observatory of International Research, Hulscher recalled.

“Unfortunately,” Hulscher wrote on Substack, “in a striking act of censorship, Elsevier and Forensic Science International withdrew the article on August 2nd, 2024 in flagrant violation of their own withdrawal policy and COPE guidelines.”

He said they “left no traces behind, completely wiping our paper from the webpage.”

Elsevier and Forensic Science International said that “members of the scientific community” — who remained anonymous, Hulscher pointed out — cited numerous concerns about the study, including inappropriate citation references, inappropriate methodological design and a lack of factual support for its conclusions.

READ: Slovak COVID commissioner calls pandemic a ‘fabricated operation,’ calls for end to vaccines

The concerns were “unfounded,” Hulscher wrote. The study authors wrote a rebuttal defending their study and submitted a revised manuscript. However, Elsevier and Forensic Science International rejected the revised manuscript.

Hulscher noted that Elsevier and Forensic Science International “failed to follow the proper scientific discourse method of allowing debate in Letters to the Editor.” Instead, they shut down the possibility of debate by censoring the study.

“This type of academic censorship poses a serious threat to the progress of scientific discovery,” he said.

73.9% of deaths reviewed by authors linked to COVID vaccines

As The Defender previously reported, the study authors did a systematic review of studies on autopsy findings following COVID-19 vaccination.

They first searched PubMed and ScienceDirect for all published autopsy and necropsy — another word for autopsy — reports related to COVID-19 vaccination in which the death occurred after vaccination.

They screened out 562 duplicate studies among the 678 studies initially identified in their search. Other papers were removed because they lacked information about vaccination status.

Ultimately, they evaluated 44 papers containing 325 autopsies and one necropsy case. Three physicians independently reviewed each case and adjudicated whether or not the COVID-19 shot was the direct cause or contributed significantly to the death reported.

They found 240 of the deaths (73.9%) were found to be “directly due to or significantly contributed to by COVID-19 vaccination.” The mean age for death was 70.4 years old.

Primary causes of death included sudden cardiac death, which happened in 35% of cases, pulmonary embolism and myocardial infarction, which occurred in 12.5% and 12% of the cases respectively.

Other causes included vaccine-induced immune thrombotic thrombocytopenia, myocarditis,multisystem inflammatory syndrome and cerebral hemorrhage.

Most deaths occurred within a week of the last shot.

The authors concluded that because the deaths were highly consistent with the known mechanisms for COVID-19 vaccine injury, it was highly likely the deaths were causally linked to the vaccine.

They said the findings “amplify” existing concerns about the vaccines, including those related to vaccine-induced myocarditis and myocardial infarction and the effects of the spike protein more broadly.

They also said the studies have implications for unanticipated deaths among vaccinated people with no previous illness. “We can infer that in such cases, death may have been caused by COVID-19 vaccination,” they wrote.

READ: Peer-reviewed study finds over 1,000% rise in cardiac deaths after COVID-19 shots

The authors acknowledged some potential biases in the article.

First, they said, their conclusions from the autopsy findings are based on an evolving understanding of the vaccines, which are currently different from when the studies evaluated were published.

They also noted that systematic reviews have bias potential in general because of biases that may exist at the level of the individual papers and their acceptance into the peer-reviewed literature.

They said publication bias could have affected their results because the global push for mass vaccination has made investigators hesitant to report adverse events.

They also said their research did not account for confounding variables like concomitant illnesses, drug interactions and other factors that may have had a causal role in the reported deaths.

This article was originally published by The Defender – Children’s Health Defense’s News & Views Website under Creative Commons license CC BY-NC-ND 4.0. Please consider subscribing to The Defender or donating to Children’s Health Defense.

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Pentagon agency to simulate lockdowns, mass vaccinations, public compliance messaging

Published on June 12, 2025

By

From LifeSiteNews

By Tim Hinchliffe

With lockdowns, mass vaccination campaigns, and social distancing still on the table from the last around, it appears that AI and Machine Learning will play a much bigger role in the next.

DARPA is getting into the business of simulating disease outbreaks, including modeling interventions such as mass vaccination campaigns, lockdowns, and communication strategies.

At the end of May, the U.S. Defense Advanced Research Projects Agency (DARPA) put out a Request for Information (RFI) seeking information regarding “state-of-the-art capabilities in the simulation of disease outbreaks.”

The Pentagon’s research and development funding arm wants to hear from academic, industry, commercial, and startup communities on how to develop “advanced capabilities that drive technical innovation and identify critical gaps in bio-surveillance, diagnostics, and medical countermeasures” in order to “improve preparedness for future public health emergencies.”

As if masks, social distancing, lockdowns, and vaccination mandates under the unscientific guise of slowing the spread and preventing the transmission of COVID weren’t harmful enough, the U.S. military wants to model the effects of these exact same countermeasures for future outbreaks.

The RFI also asks participants “Fatality Rate & Immune Status: How are fatality rates and varying levels of population immunity (natural or vaccine-induced) incorporated into your simulations?“

Does “natural or vaccine-induced” relate to “population immunity” or “fatality rates” or both?

Moving on, the RFI gets into modeling lockdowns, social distancing, and mass vaccination campaigns, along with communication strategies:

Intervention Strategies: Detail the range of intervention strategies that can be modeled, including (but not limited to) vaccination campaigns, social distancing measures, quarantine protocols, treatments, and public health communication strategies. Specifically, describe the ability to model early intervention and its impact on outbreak trajectory.

The fact that DARPA wants to model these so-called intervention strategies just after the entire world experienced them suggests that these exact same measures will most likely be used again in the future:

“We are committed to developing advanced modeling capabilities to optimize response strategies and inform the next generation of (bio)technology innovations to protect the population from biological threats. We are particularly focused on understanding the complex interplay of factors that drive outbreak spread and evaluating the effectiveness of potential interventions.” — DARPA, Advanced Disease Outbreak Simulation Capabilities RFI, May 2025.

“Identification of optimal timelines and capabilities to detect, identify, attribute, and respond to disease outbreaks, including but not limited to biosensor density deployment achieving optimal detection timelines, are of interest.” ­— DARPA, Advanced Disease Outbreak Simulation Capabilities RFI, May 2025.

With lockdowns, mass vaccination campaigns, and social distancing still on the table from the last around, it appears that AI and Machine Learning will play a much bigger role in the next.

For future innovation, the DARPA RFI asks applicants to: “Please describe any novel technical approaches – or applications of diverse technical fields (e.g., machine learning, artificial intelligence, complex systems theory, behavioral science) – that you believe would significantly enhance the state-of-the-art capabilities in this field or simulation of biological systems wholistically.”

Instead of putting a Dr. Fauci, a Dr. Birx, a replaceable CDC director, a TV doctor, a big pharma CEO, or a Cuomo brother out there to lie to your face about how they were all just following The ScienceTM, why not use AI and ML and combine them with behavioral sciences in order to concoct your “public health communications strategies?”

When you look at recently announced DARPA programs like Kallisti and MAGICS, which are aimed at creating an algorithmic Theory of Mind to model, predict, and influence collective human behavior, you start to get a sense of how all these programs can interweave:

“The MAGICS ARC calls for paradigm-shifting approaches for modeling complex, dynamic systems for predicting collective human behaviour.” — DARPA, MAGICS ARC, April 2025

On April 8, DARPA issued an Advanced Research Concepts (ARC) opportunity for a new program called “Methodological Advancements for Generalizable Insights into Complex Systems (MAGICS)” that seeks “new methods and paradigms for modeling collective human behavior.”

Nowhere in the MAGICS description does it mention modeling or predicting the behavior of “adversaries,” as is DARPA’s custom.

Instead, it talks at length about “modeling human systems,” along with anticipating, predicting, understanding, and forecasting “collective human behavior” and “complex social phenomena” derived from “sociotechnical data sets.”

Could DARPA’s MAGICS program be applied to simulating collective human behavior when it comes to the next public health emergency, be it real or perceived?

“The goal of an upcoming program will be to develop an algorithmic theory of mind to model adversaries’ situational awareness and predict future behaviour.” — DARPA, Theory of Mind Special Notice, December 2024.

In December 2024, DARPA launched a similar program called Theory of Mind, which was renamed Kallisti a month later.

The goal of Theory of Mind is to develop “new capabilities to enable national security decisionmakers to optimize strategies for deterring or incentivizing actions by adversaries,” according to a very brief special announcement.

DARPA never mentions who those “adversaries” are. In the case of a public health emergency, an adversary could be anyone who questions authoritative messaging.

The Theory of Mind program will also:

… seek to combine algorithms with human expertise to explore, in a modeling and simulation environment, potential courses of action in national security scenarios with far greater breadth and efficiency than is currently possible.

This would provide decisionmakers with more options for incentive frameworks while preventing unwanted escalation.

We are interested in a comprehensive overview of current and emerging technologies for disease outbreak simulation, how simulation approaches could be extended beyond standard modeling methods, and to understand how diseases spread within and between individuals including population level dynamics.

They say that all the modeling and simulating across programs is for “national security,” but that is a very broad term.

DARPA is in the business of research and development for national security purposes, so why is the Pentagon modeling disease outbreaks and intervention strategies while simultaneously looking to predict and manipulate collective human behavior?

If and when the next outbreak occurs, the same draconian and Orwellian measures that governments and corporations deployed in the name of combating COVID are still on the table.

And AI, Machine Learning, and the military will play an even bigger role than the last time around.

From analyzing wastewater to learning about disease spread; from developing pharmaceuticals to measuring the effects of lockdowns and vaccine passports, from modeling and predicting human behavior to coming up with messaging strategies to keep everyone in compliance – “improving preparedness for future public health emergencies” is becoming more militaristically algorithmic by the day.

“We are exploring innovative solutions to enhance our understanding of outbreak dynamics and to improve preparedness for future public health emergencies.” — DARPA, Advanced Disease Outbreak Simulation Capabilities RFI, May 2025.

Reprinted with permission from The Sociable.

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Business

Audit report reveals Canada’s controversial COVID travel app violated multiple rules

Published on June 11, 2025

By

From LifeSiteNews

By Anthony Murdoch

Canada’s Auditor General found that government procurement rules were not followed in creating the ArriveCAN app.

Canada’s Auditor General revealed that the former Liberal government under Prime Minister Justin Trudeau failed multiple times by violating contract procurement rules to create ArriveCAN, its controversial COVID travel app.

In a report released Tuesday, Auditor General Karen Hogan noted that between April 2015 to March 2024, the Trudeau government gave out 106 professional service contracts to GC Strategies Inc. This is the same company that made the ArriveCAN app.

The contracts were worth $92.7 million, with $64.5 million being paid out.

According to Hogan, Canada’s Border Services Agency gave four contracts to GC Strategies valued at $49.9 million. She noted that only 54 percent of the contracts delivered any goods.

“We concluded that professional services contracts awarded and payments made by federal organizations to GC Strategies and other companies incorporated by its co-founders were not in accordance with applicable policy instruments and that value for money for these contracts was not obtained,” Hogan said.

She continued, “Despite this, federal government officials consistently authorized payments.”

The report concluded that “Federal organizations need to ensure that public funds are spent with due regard for value for money, including in decisions about the procurement of professional services contracts.”

Hogan announced an investigation of ArriveCAN in November 2022 after the House of Commons voted 173-149 for a full audit of the controversial app.

Last year, Hogan published an audit of ArriveCAN and on Tuesday published a larger audit of the 106 contracts awarded to GC Strategies by 31 federal organizations under Trudeau’s watch.

‘Massive scandal,’ says Conservative leader Pierre Poilievre

Conservative Party leader Pierre Poilievre said Hogan’s report on the audit exposed multiple improprieties.

“This is a massive scandal,” he told reporters Tuesday.

“The facts are extraordinary. There was no evidence of added value. In a case where you see no added value, why are you paying the bill?”

ArriveCAN was introduced in April 2020 by the Trudeau government and made mandatory in November 2020. The app was used by the federal government to track the COVID jab status of those entering the country and enforce quarantines when deemed necessary.

ArriveCAN was supposed to have cost $80,000, but the number quickly ballooned to $54 million, with the latest figures showing it cost $59.5 million.

As for the app itself, it was riddled with technical glitches along with privacy concerns from users.

LifeSiteNews has published a wide variety of reports related to the ArriveCAN travel app.

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