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COVID Is Over — But Did We Learn Anything From It?

Published

1 year ago

7 minute read

From the Daily Caller News Foundation

By PETER ROFF

 

The lockdowns instituted during the COVID pandemic were only supposed to last a few days. Remember “14 days to flatten the curve” was all that was needed to keep hospitals from being overwhelmed by patients infected with the rapidly spreading novel coronavirus.

Two weeks turned into three, then months. Schools were closed. Businesses were shut down. Commercial activity in the world’s most powerful nation ground almost to a halt, but the virus kept killing, mutating and spreading.

States like California and Kentucky enforced the lockdowns with ruthless efficiency. The free exercise of worship and assembly was crushed on the altar of public health and safety.

Was it worth it? The Committee to Unleash Prosperity’s report, “COVID Lessons Learned: A Retrospective After Four Years,” says no. Its authors, who include the Hoover Institution’s Dr. Scott Atlas (who served as an adviser to the White House Coronavirus Task Force), Johns Hopkins University economist Steve Hanke and the University of Chicago’s Casey Mulligan conclude, by using publicly available data and peer-reviewed studies, that the lockdowns cost more lives than they saved.

Atlas, Hanke, Mulligan and Phil Kerpen, president of the Committee to Unleash Prosperity (CTUP) and the fourth and final co-author, conclude: “The ordered shutdown of our schools, churches, and businesses brought little health benefits while imposing multi-trillions of dollars of long-term societal costs.”

“We did not focus on theories or models. We looked at cold, hard facts,” Kerpen says. “The evidence is overwhelming. Lockdowns, school closures, and societal panic/disruption resulted in a staggering number of excess non-COVID deaths in the United States versus zero in non-lockdown Sweden.”

Kerpen estimates that the policies implemented during the lockdowns saved approximately 16,000 lives while causing about 400,000 extra deaths and imposing staggering economic costs, including the loss of 49 million jobs.

Other adverse consequences stemming from the lockdowns cited in the report include a $6 trillion increase in government debt, hundreds of thousands of business bankruptcies and hundreds of thousands of excess deaths from loneliness, depression, alcoholism, drug abuse and delayed hospital care in part due to the forced social isolation.

In the U.S., catastrophes like COVID are usually followed by the appointment of bi-partisan, blue-ribbon commissions to study everything and issue recommendations we’re told will prevent something similar from happening again.

That hasn’t been done this time, which reinforces the suspicion in some minds that COVID-era policymakers who are still in a position to influence the conversation are hiding something. Having made a hash of things, they just as soon allow it all to slide down the memory hole.

Even in China, where popular opinion doesn’t matter, the investigation into the origins of the virus hit a stonewall thanks to what news reports have called “bureaucratic infighting.”

Too many people think the lockdowns worked. They’re ignoring the data. The CTUP report shows them to be wrong. It’s a call for a further probe that searches for the truth, no matter how uncomfortable it might be. Without it, how can we be sure the public’s health and safety will be protected the next time, not to mention our civil liberties?

The CTUP report offers a few “lessons learned” that should inform policymakers’ decision-making in the next crisis. One is that “Leaders should calm public fears, not stoke them.”

“Conventional wisdom pre-COVID was that communities respond best to pandemics when the normal social functioning of the community is least disrupted,” the authors conclude. During the pandemic, responsible officials in the public eye “intentionally stoked and amplified fear, which overlaid enormous economic, social, educational, and health harms on top of the harms of the virus itself.”

As hard as it is to argue against that, it’s easy to suggest the crisis was used as a political club. What of it? Suppose public health officials, the media, and other policymakers deliberately ignored sound science and proven pandemic countermeasures to inflict political damage on a president they wished to see booted from office. Does that matter? The answer is yes, it does.

There’s more to be learned because there’s more to be studied. None of the nations that used lockdowns to prevent COVID from spreading can report that they worked as intended.

“The best-performing major country in the world was Sweden,” Kerpen says, “which did not employ mandatory lockdowns. Yet, to the extent that official and unofficial commissions in many countries have issued reports, they say the principal lesson to be learned from the pandemic is to lockdown harder and faster. The evidence doesn’t support that. It tells us that the lockdown policies must never be imposed again.”

If Kerpen is correct, and the evidence suggests he is, then policymakers are drawing the wrong conclusions. Lockdowns were a failure, not a success.

Other ways must be found to prevent a future outbreak from turning into a pandemic, hopefully, before the next crisis presents itself.

A former U.S. News & World Report columnist and United Press International senior political writer, Peter Roff is an acknowledged expert on U.S. politics and the policy process. His take on politics and policy appears frequently in print and on U.S. and international broadcasting outlets. Email him at RoffColumns AT gmail.com. Follow him on social media AT TheRoffDraft.

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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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