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COVID vaccine science catching up with ‘conspiracy theorists’

Published

8 months ago

10 minute read

Robert W Malone MD, MS · Who is Robert Malone
Dr. Raphael Lataster provides an update on the emerging peer-reviewed literature that continues to expand the data, analysis, and confirmation that the EUA/OWS mRNA vaccines were neither safe nor effective. Drs. Peter Marks, Robert Kadlec, NIH/NIAID VRC, Pfizer and Moderna were wrong to rush these products out while bypassing the accumulated regulatory and bioethics wisdom developed over decades. They must be held accountable.

Raphael Lataster, PhD

@okaythennews
Academic specializing in misinformation. Ex healthcare. Runs Okay Then News, a curated news aggregator highlighting media/government contradictions, hypocrisies, and outright lies. Big focus on COVID at the moment.

Two new peer-reviewed medical journal articles indicate that the science is starting to catch up with the ‘conspiracy theorists’ and ‘anti-vaxxers’ such as myself, also known as people that rationally asked questions of novel products that were rushed out the door, to help stem a pandemic that was far less deadly than all other causes, including cardiovascular disease, cancer, and even tobacco use (and note that COVID-19 deaths tend to be inflated). Publishing in the Polish Annals of Medicine, Thoene conducts a limited literature review on the reporting of COVID-19 vaccine severe adverse events in scientific journals, finding:

“From 2020 to 2024, the literature has gone from claiming there are absolutely no SAEs from mRNA based vaccines (2020/2021) to an acknowledgment of a significant number of various SAEs (2023/2024); including but not limited to neurological complications, myocarditis, pericarditis and thrombosis. … The early scientific literature was biased, so as not to report SAEs, due to social and political concerns and overwhelming corporate greed. Only in the last year have scientists been able to publish articles that acknow- ledge a high number of SAEs linked to mRNA based vaccines. This should act as a warning that science should be completely objective when evaluating health risks, but can often be influenced by social and economic considerations.” Source.

Proving once again that Eastern Europeans are based (the Hungarians stand up to the EU on immigration [source], and the Bulgarians published my little study on the correlation between COVID-19 vaccination and European excess mortality), the Polish journal kindly accepted my brief response, entitled ‘Scientific views around mRNA based covid vaccines are changing, but to what end?’, praising them and Thoene for this important paper, and noting that this is only the tip of the iceberg. Source. There is so much more in the published science that most people are unaware of, such as:

  • Thacker, on “issues such as data falsification and patient unblinding concerning Pfizer’s vaccine trial”.
  • Fraiman et al., on the “excess risk of serious adverse events of special interest with the mRNA vaccines”.
  • Benn et al., on there being “no statistically significant decrease in COVID-19 deaths in the mRNA vaccine clinical trials, while there was an increase (also not statistically significant) in total deaths”.
  • The JECP4 articles by Doshi’s team and Lataster’s team (of one, because nobody likes me…) on “counting window issues (such as counting window delays, counting window biases, and counting window misclassifications), likely leading to exaggerated effectiveness and safety estimates” in the clinical trials and major observational studies, with one of the major problems being “when COVID-19 infections are being overlooked in the ‘partially vaccinated,’ and in some cases were even ascribed to unvaccinated groups”. Note that Mead et al. discussed some similar issues and yet was astonishingly retracted.
  • Faksova et al., which Thoene barely mentioned, and which demonstrated that the vaccines are associated with several concerning adverse effects, despite employing a counting window endpoint of only 42 days following vaccination.
  • Raethke et al., “which noted a rate of serious adverse drug reactions of approximately 1 per 400 people”, which I note compares “very unfavourably with UK government estimates on the numbers needed to vaccinate in young and healthy people to prevent a severe COVID-19 hospitalisation being in the hundreds of thousands”.
  • Mostert et al., on the “mysterious problem of excess mortality post-pandemic, which they hint could be related to the COVID-19 vaccines”, and my aforementioned Bulgarian Medicine article demonstrating that there are indeed correlations between COVID-19 vaccination and European excess deaths.
  • Of course, my ‘favourite’ topic, COVID-19 vaccine negative effectiveness, where “the vaccines increase the chance of COVID-19 infection, and even COVID-19 death, a ‘benefit’ which is of course a poor trade-off for the risk of (other) adverse effects”. This “led to some discussion in major medical journals such as the BMJ [and also AJGP], with the most common excuse for this phenomenon being that there must be some confounding variable at play”, an “excuse that somehow does not apply before vaccine effectiveness crosses the x-axis, indicating a clear double standard (one of many) in how the vaccines are evaluated”.
  • Fürst et al. (those Eastern Europeans again!), on evidence “that a healthy vaccinee bias is at play”, which “would further imply that the effectiveness of the COVID-19 vaccines is being exaggerated, beyond the effects of counting window issues and other data manipulations, even when declining to zero and beyond”.
  • The “substantive critiques appearing in influential medical journals of major observational studies purporting the benefits of the vaccines (with more on the way)”. These include my BMJ rapid response on the WHO’s jab study and the little academic debate between myself and a team from Johns Hopkins. Much more coming soon…

Still wondering how I managed to get this published, I end with a stark warning for those who partook in the deadly con:

“There is clearly much research on the COVID-19 vaccines, published in the biggest medical journals, which greatly contradict the mainstream and early, as well as ongoing, claims concerning their safety and effectiveness, and even necessity, for all. There is much more not mentioned in this brief article, and there is no doubt more to come. It seems obvious to me, that at least for the young and healthy, COVID-19 vaccines are most certainly not worth the risk, even when considering just a single adverse effect (myocarditis), no matter how rare it is purported to be – serious COVID-19 in the young and healthy is rarer still, and the same is even more true when considering the little to no benefits offered by what increasingly appears to be a feckless vaccine.

There have already been many legal actions, including victories (as with myself), initiated on behalf of the (somehow still alive) unvaccinated who were persecuted over a pharmaceutical product that they clearly did not need, and the vaccinated who have died and otherwise been injured as a result of vaccination. I anticipate that many more lawsuits are on the horizon, involving – amongst others – the vaccine manufacturers; the government officials that approved, encouraged, and even mandated the vaccines; and the many doctors and scientists who effectively betrayed their professions and public trust in encouraging the use of these flawed products based on very limited and even manipulated scientific evidence.”

Of course, while the science is starting to catch up, and the lawsuits are continuing apace (source), we’re still being told by our governments and mainstream media to roll up our sleeves, even those of us as young as 6 months. Source and source.

Okay then.

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Okay Then News (and the associated forum at CovidSkeptics.com) is my personal collection of evidences against mainstream narratives, made freely available to the public. Subscribe for free email updates, here.

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International

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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