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COVID-19

Wenstrup Releases Francis Collins’ House Testimony

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9 minute read

From the Brownstone Institute

BY Robert MaloneROBERT MALONE 

Wenstrup Releases Former NIH Director Francis Collins’ Transcript, Highlights Key Takeaways in New Memo

WASHINGTON — Today, Select Subcommittee on the Coronavirus Pandemic Chairman Brad Wenstrup (R-OH) released the transcript from Dr. Francis Collins’ transcribed interview. Dr. Collins helped lead the government’s Covid-19 pandemic response as the Director of the National Institutes of Health (NIH) until his resignation at the end of 2021. In conjunction with the transcript, the Select Subcommittee also released a new staff memo that highlights the key takeaways from Dr. Collins’ transcribed interview. The memo can be found here.

The full transcript can be found here. Below are important exchanges from Dr. Collins’ transcribed interview:

The hypothesis that the Covid-19 pandemic was the result of a lab leak or lab-related accident is not a conspiracy theory. Despite previously disagreeing with the lab-leak theory — both in public and in private — Dr. Collins testified that the lab-leak hypothesis is indeed not a conspiracy theory.

Majority Counsel: “All it’s calling for is a “yes” or “no.” Is the possibility of a lab leak a conspiracy theory?”

Dr. Collins: “You have to define what you mean by a lab leak.”

Majority Counsel: “Putting aside de novo, the possibility of a laboratory or research-related accident, a researcher doing something in a lab, getting infected with a virus, and then sparking the pandemic. Is that scenario a conspiracy theory”?

Dr. Collins: “Not at this point.”


Majority Counsel: “We have talked about this an awful lot, I think I know the answer to the question, but I want to ask it. Is the origin of Covid-19 still unsettled science?”

Dr. Collins: “Yes.”

The “6-feet apart” social distancing guidance that federal public health officials endorsed was likely not based on any science or data. Dr. Collins agreed with Dr. Fauci that he has not seen any evidence to support the “6-feet apart” directive — which was promoted by public health officials and caused widespread economic and social damage to Americans.

Majority Counsel: “Moving on to social distancing and the various regulations surrounding that. On March 22, 2020, the CDC issued guidance describing social distancing to include remaining out congregant settings, avoiding mass gatherings, and maintaining a distance of approximately six feet from others when possible. We asked Dr. Fauci where the six feet came from and he said it kind of just appeared, is the quote. Do you recall science or evidence that supported the six-feet distance?”

Dr. Collins: “I do not.”

Majority Counsel: “Is that I do not recall or I do not see any evidence supporting six feet?”

Dr. Collins: “I did not see evidence, but I’m not sure I would have been shown evidence at that point.”

Majority Counsel: “Since then, it has been an awfully large topic. Have you seen any evidence since then supporting six feet?”

Dr. Collins: “No.”

NIH often lacks the necessary subject matter expertise to ensure US taxpayer funds are spent safely. Concerningly, Dr. Collins was unaware of any NIH policy that ensures foreign laboratories comply with US standards and are not at odds with U.S. national interests.

Majority Counsel: “Thank you. We’ve asked a number of people regarding the vetting or certifying process of foreign labs that receive U.S. dollars. Do you know what that process is?”

Dr. Collins: “I do not.”

Majority Counsel: “To your knowledge, does NIH certify foreign labs that receive U.S. dollars?”

Dr. Collins: “I don’t know that.”


Majority Counsel: “Again, what we’re trying to figure out is if, like, you get a proposal that has a foreign lab on it, if the NIH would do all the work themselves, or if they would call the State Department, or if they would call some other department to try to determine if that foreign lab is reputable.”

Dr. Collins: “I don’t know.”

The Trump Administration led the charge to rightfully terminate and later suspend EcoHealth Alliance, Inc.’s grant in April 2020. Dr. Collins testified that he supported every enforcement action suggested by the Trump administration and executed by the NIH.

Majority Counsel: “Moving into 2020. Before we start with individual letters, we asked Dr. Lauer and he testified that he would not sign or send a letter that he disagreed with. Do you have any reason to doubt that assertion?”

Dr. Collins: “No.”

Majority Counsel: “Do you agree with every enforcement action the NIH took against EcoHealth?”

Dr. Collins: “Yes.”

Dr. Collins claims that Dr. Fauci invited him to participate in the infamous February 1, 2020 phone call that allegedly “prompted” the public narrative that Covid-19 originated from nature and that vilified the lab-leak hypothesis.

This testimony directly contradicts earlier statements made by Dr. Fauci.

Majority Counsel: “How were you made aware of this call?”

Dr. Collins: “I was, I think – again, it’s four years ago – initially informed by Dr. Fauci that the call was happening. And then, I think I got this email forwarded about what the agenda was going to be from Dr. Farrar, who was clearly the person organizing the call.”

Majority Counsel: “Did Dr. Fauci ask you to join the call?”

Dr. Collins: “Yes.”


There we have it. Ex-director NIH Francis Collins had NO data and has not seen any data to support the social distancing edicts from HHS.


The transcript itself documents that Director Collins had evidence that masking would harm children.

From the transcript:

Q: In the realm of masking, obviously masks became this big to-do during the pandemic. One of the specific aspects that we are interested in is the science and data that supported it for children. So the WHO recommended against masking children less than five because masks are, I’m quoting, not in the overall interest of the child, and against children 6 to 11 from wearing masks because of again, quoting, the potential impact of wearing a mask on learning and psychological development. The United States recommended masking kids as young as two, so directly contradicted the WHO’s recommendation on that. 

Do you recall what science or data backed up that recommendation?

Collins: I have no knowledge of that. 

Q: Okay. There are now studies coming out regarding learning loss from both school closures and childhood mask wearing — for masks specifically, kids not being able to see adults form words and things like that and it’s causing speech issues. Are you aware of those issues? 

Collins: In a general way, yes. 

Q: Do you agree that there’s learning loss and other unintended consequences of mask-wearing? 

Collins: I have to depend on the experts who assess those things who have evidence, they say, that that’s the case.


This is all the evidence required to conclusively demonstrate that the United States Department of Health and Human Services (HHS) needs a complete overhaul.

Republished from the author’s Substack

Author

  • Robert Malone

    Robert W. Malone is a physician and biochemist. His work focuses on mRNA technology, pharmaceuticals, and drug repurposing research. You can find him at Substack and Gettr

International

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

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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

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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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