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Post-pandemic: Canada desperately needs an impartial COVID-19 inquiry

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From the MacDonald Laurier Institute

By Kevin Bardosh

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Now that the panic has subsided, it is time to move to a thoughtful and objective Covid evaluation to investigate the social harms created by government infection control policies.

Nearly four years after the Canadian government first imposed unprecedented Covid-19 policies, the nation still lacks a coherent plan for how to evaluate the effectiveness of these policies and their costs and consequences.

Sadly, recent efforts to promote a federal inquiry do very little to diminish concerns that key scientific and policy questions – about lockdowns, school closures, masks, contact tracing and vaccine mandates – will go unanswered. Rather than seriously questioning the dominant covid policy approach, these efforts toward an inquiry parrot a set of misguided axioms set on justifying and institutionalizing them for the future.

A series of articles in the British Medical Journal (BMJ) called for an independent Canadian Inquiry in mid-2023 (Clark et al. 2023). Supportive editorials were written by most Canadian media outlets and a launch event for the series was supported by the Royal Society of Canada. Yet, despite the BMJ series being entitled “Accountability for Canada’s Covid-19 response”, scientific data that contradict the necessity of government infection control policies as well as the social harms to Canadian society from these far-reaching policies were largely ignored.

The BMJ article series assumes a unique form of implicit bias and faulty logic that I have called Covidization, and which has predominated as the mainstream position in government, media, the courts, academia and medicine since 2020 (Bardosh, 2023a). ’Covidization’ over-states the evidence supporting Covid policies and downplays the evidence of their harm, or unintended consequences. It also assumes that more centralized government action was needed to control the virus and valorises population compliance. Take, for example, one of the most cited sentences in the BMJ series:

“What saved Canada was a largely willing and conforming populace that withstood stringent public health measures and achieved among the world’s highest levels of vaccination coverage. In other words, Canadians delivered on the pandemic response while its governments faltered.”

This mainstream position also inverts the burden of proof and contradicts key principles of public health ethics (Jamrozik, 2022): it is critical to appreciate that most Covid policies were not  recommended for use during a viral respiratory pandemic by the World Health Organization and most governments pre-2020 because the evidence was weak and the anticipated harms substantial (Bardosh, 2023a). Pre-2020, the various vaccine mandates and passports used during the pandemic were also generally believed to be unethical and against the Canadian Charter of Rights and Freedoms (Bardosh et al. 2022).

Yet the social atmosphere of fear and panic during the pandemic re-engineered axiomatic truths and governance models including accepted ethical standards (e.g. precautionary principle) and cost-benefit analysis in decision-making. Instead, a narrow logic that approaches infection control a priori as the highest moral goal reigned.

The BMJ series is worrying because it was modelled on a similar article series launched just before the UK began its own formal Covid Inquiry (McKee et al. 2022), which began in June 2023 (Bardosh, 2023b). The UK-focused BMJ articles were written, in part, by prominent advocates of Zero Covid, who, like China, promoted stricter containment believing the virus could be eliminated. This position went on to be reflected, in varying degree, in the biases and assumptions of the UK Public Inquiry itself.

The UK Inquiry will run until 2026 and is estimated to be the most expensive British public inquiry ever, costing taxpayers £300-500 million. Yet the structure of the inquiry has given preferential status to bereaved family groups through legal representation, who are set on blaming the government for the death of their family members. This means that key assumptions about the effectiveness and appropriateness of Covid measures are simply taken for granted. Prominent scientists who advised the government, especially epidemiological modellers, have also been given preferential treatment by the barristers and the few scientists providing an alternative position, such as one more aligned with the idea of focused protection outlined in the Great Barrington Declaration (Kulldorff et al. 2020), have been largely maligned and ignored (Bardosh, 2023c).

The convergence between the UK inquiry and a possible Canadian inquiry may be more likely than anticipated. According to Canadian journalist Paul Wells, rumour has it that Prof. Sir Mark Walport, who testified to the UK Inquiry and recently chaired a UK Royal Society review on Covid interventions that ignored key data and the costs and consequences to society (Bardosh, 2023d), could head a Canadian inquiry (Wells, 2023). This has yet to be confirmed or denied.

Herein lay a central problem: those who advocated for Covid policies are now called to evaluate them. Epidemiological models and observational studies have been given substantial weight by government and public health agencies despite confounding effects, data reliability issues, incorrect assumptions, circular reasoning and inappropriate claims of causality (Grant et al. 2022; Doidge et al. 2022; Vickers et al. 2023).

In a desperate failure to ‘follow the science’, too many individuals in the mainstream medical establishment continue to frame efforts to question Covid policies as ‘misinformation’ or ‘revisionism’ (Murdoch and Caulfield, 2023). This perspective cherry-picks the evidence and ignores the totality of data on policies such as school closures, mask mandates and lockdowns (Fitzpatrick et al. 2022; Vickers et al. 2022). It also ignores other factors that can explain Covid epidemiological trends: seasonality, innate immunity, voluntary risk reduction and herd immunity (Bardosh, 2023e).

Worryingly, provincial and federal governments are not required by law to evaluate the health, social or economic consequences of any emergency response in Canada, including Covid (Khoury et al. 2022). This leaves fundamental questions unanswered: Did government policies cause more harm than good? What should we do next time?

Now that the panic has subsided, it is time to move beyond the Covidization groupthink. Any thoughtful and objective Covid evaluation should be evidence-based and take as a starting position the investigation of social harms created by government infection control policies (Bardosh, 2023a).

This includes consequences on health and health services, such as an alarming mental health crisis (Agostino et al. 2021; Frounfelker et al. 2022; Jenkins et al. 2022) and rise in non-Covid excess mortality, for example due to drug overdoses among young people (Dmetrichuk et al. 2022; Lee et al. 2022). It includes a range of negative lifestyle changes that appear to be compounding risks for noncommunicable diseases: exercise, obesity, sleep, screen use, diet, addiction, frailty, and child development (Andreacchi et al. 2022; Colucci et al. 2022; Shillington et al. 2021; Potvin et al. 2022).

Pandemic policies closed businesses and shifted employment patterns, whilst also dramatically increasing government spending, debt and inflation (CFIB, 2021; Moran et al. 2022; Lemieux et al. 2020; Razak et al. 2022). What are the consequences and long-term legacy of these economic impacts? And, of course, economic consequences are likely to have had adverse effects on general well-being. It remains unclear how useful the vast government financial assistance programs really were (Kroebel et al. 2021).

The social fabric of Canada was also ruptured, with significant effects on domestic violence, child abuse, gender relations and social polarization (Baker et al. 2023; Smith, 2022; Wu et al. 2022; Wathen et al. 2022). Pandemic policies impacted children and teenagers at crucial points in their education and psychosocial development and are predicted to have various long-term consequences (Cost et al. 2022; Haeck and Larose, 2022). Studies on university students consistently show that well-being, social relationships, financial stress, quality of learning and optimism about future job prospects were impacted (Appleby et al. 2022; Houlden and Veletsianos, 2022).

Socio-economic groups were affected in different ways. A generational paradox emerged: the virus itself caused minimal mortality among younger people who were most severely impacted by pandemic disruptions (Ciotti et al. 2022). More marginalized and vulnerable social groups also experienced disproportionate mental health and socio-economic effects (Jenkins et al. 2022). The quality of social services diminished as a result of accommodating social distancing protocols (Baker et al. 2023; Wathens et al. 2022). And the elderly were often isolated and locked-up in care facilities under inhumane conditions (Saad et al. 2022; Chu et al. 2022; Rangel et al. 2022).

The civic infrastructure of democratic accountability also eroded (Baron and Van Geyn, 2023), with significant consequences for human rights, civil liberties, and checks on executive power (Joffe, 2021; Mykhalovskiy et al. 2022). Debate was, for the most part, abandoned at our institutions of higher education. An artificial ‘consensus’ was manufactured by the mainstream media (Capurro et al. 2021; Labbe et al. 2022; Norman et al. 2022). Science itself was politicised and a profound failure occurred in multidisciplinary scientific policy advice. The advice offered to policymakers focused almost exclusively on a pathogen-centric perspective (Bhatia et al. 2023) and disregarded the expertise of other relevant disciplines. Population compliance was supported through unprecedented laws on protest, data privacy and media freedom largely upheld by the courts (Ballard et al. 2021; CCLA, 2021; McClelland Luscombe, 2021). Growing public distrust culminated in the 2022 Ottawa Trucker Convoy protest while the biases of the Rouleau Commission that upheld the use of the Emergencies Act revealed similar failures in government accountability (Alford, 2023).

Despite these varied impacts on Canadians, no major scientific and institutional effort has emerged to collate and analyze the full data on these societal harms and explore their implications for pandemic policy. Two recent efforts are, nonetheless, worth mentioning. First, the new conservative premier of Alberta, Danielle Smith, commissioned a public health emergency governance review which recommended, among other things, broader expertise in management and science advice and the need to better protect rights and freedoms (Kelly-Gagnon et al. 2023). Second, a grassroots independent movement recently completed a National Citizen Inquiry (2023), based on public testimony from a 7-city tour, and has released a final report focused on the varied impacts of Covid measures on society.

The Federal government can call for a national commission of inquiry at any time and set the scope and format. Such inquiries have had lasting institutional impact in the past; the Canadian blood services emerged from the stained blood scandal in the 1980s. And their tendency to keep an issue in the news cycle helps ensure institutional change (Stutz, 2008).

However, before any Canadian inquiry takes place, it is critical that a reversal of perspective occurs about the key questions (Norfolk Group, 2023). Scientific analysis about the effectiveness of Covid policies in Canada need to be approached in an attitude of impartiality and with a willingness for self-criticism. The data on policy harms need to be taken seriously. This is certainly within the remit of the Public Health Agency of Canada, the Canadian Institutes of Health Research, the Social Sciences and Humanities Research Council of Canada, and many other government agencies.

All things considered, it would be wise to establish an independent scientific review with sufficient broad support, expertise and neutrality outside government. This could then inform the establishment of any future public inquiry. Otherwise, like the UK Covid Inquiry, we risk eschewing a critical and objective assessment of the evidence and the difficult policy trade-offs between infection control, social harm and civil liberties.

Canada needs a proper Covid inquiry but ensuring that the public gets one will require political acumen, scientific rigor and a correct orientation toward the key social, political, and medical questions at stake.

About the author

Kevin Bardosh, PhD is Director and Head of Research at Collateral Global, a research institute and educational charity based in the UK. He is also affiliated with the School of Public Health, University of Washington and Edinburgh Medical School. A Canadian, he has worked in more than 20 countries around the world on infectious disease research and control programs, including in the response to Zika and Ebola.

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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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