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Elon Musk-backed doctor critical of COVID response vows appeal after court sides with medical board

Published

1 year ago

8 minute read

From LifeSiteNews

By Anthony Murdoch

One of Gill’s “controversial” posts read, “If you have not yet figured out that we don’t need a vaccine, you are not paying attention. ”  

A Canadian physician who challenged her medical regulator after it placed “cautions” against her for speaking out against draconian COVID mandates on social media has lost a court battle, but with the help of her Elon Musk-backed legal team she has vowed to appeal the ruling. 

The case concerns Dr. Kulvinder Kaur Gill, an Ontario pediatrician who has been embroiled in a legal battle with the College of Physicians and Surgeons of Ontario (CPSO) for her anti-COVID views posted on X (formerly Twitter) in 2020. As reported by LifeSiteNews, her case received the support of billionaire Tesla and X owner Elon Musk, who pledged in March to back her financially.  

One of Gill’s “controversial” posts read, “If you have not yet figured out that we don’t need a vaccine, you are not paying attention. #FactsNotFear.”  

The Divisional Court decision against Gill dated May 7, 2024, concluded, “When the College chose to draw the line at those tweets which it found contained misinformation, it did so in a way which reasonably balanced Dr. Gill’s free speech rights with her professional responsibilities.” 

“In other words, its response was proportionate,” noted the ruling. 

Gill’s lawyer, Lisa Bildy with Libertas Law, stated in a press release sent to LifeSiteNews that the “Court declined to quash the ‘cautions’ orders, finding that the ‘screening committee’ of the CPSO was sufficiently alert to the Charter infringement of Dr. Gill’s speech, such that its decisions were within the range of reasonable outcomes.” 

“Dr. Gill had argued, in two factums,” noted Bildy, which can be found here and here , and filed in the companion court applications, that “her statements were not ‘verifiably false.’” 

Bildy expressed that Gill had provided the College with “ample evidence in 2020 to support her position against lockdowns,” but was sanctioned “because they went against the College’s guidance that doctors should not express opinions contradicting government or its public health edicts.” 

Gill’s court challenge against the CPSO began last month, with Bildy writing at the time that the College’s “decisions were neither reasonable nor justified and they failed to engage with the central issues for which Dr. Gill was being cautioned.” 

“The decision starts with the premise that doctors have to comply,” said Bildy, warning that censoring doctors would have a “chilling effect” on free speech.    

Bildy noted that in its ruling, the court “disagreed” with Gill’s challenge, “stating that this invited a reweighing of the evidence.” 

The court also ordered that Gill pay the CPSO $6,000 in legal costs.  

Gill is a specialist practicing in the Greater Toronto area, and has extensive experience and training in “pediatrics, and allergy and clinical immunology, including scientific research in microbiology, virology and vaccinology.” 

Last September, disciplinary proceedings against her were withdrawn by the CPSO. However, last year, Gill was ordered to pay $1 million in legal costs after her libel suit was struck down. 

The CPSO began disciplinary investigations against Gill in August 2020.  

Gill to appeal recent court ruling with support from Musk’s X  

The court’s ruling asserted that the CPSO panel members consisted of “three physicians with highly relevant expertise that they were able to bring to bear when assessing the scientific and medical information before them, expertise that this court does not have.” 

Bildy noted that in fact, the CPSO panel consisted of “three surgeons and a general member of the public who had deferred to the ‘expertise’ of government’s public health arm.” 

The court ruling also dismissed Gill’s arguments that publishing the “cautions on her public register and disseminating a notice about the cautions to hospitals and regulators across the continent was punitive and had a chilling effect on one side of a debate.” 

“The Court opted to align with other Divisional Court decisions in stating that the cautions were not a finding of professional misconduct but were merely a remedial measure. This is despite the fact that cautions have, only in recent years, become a public rebuke rather than a private ‘correction’ of a professional by their peers. This significant change has not yet been grappled with by the Ontario Court of Appeal,” noted Bildy.  

Bildy said that Gill intends to “seek leave to appeal to the Ontario Court of Appeal with the support of X Corp., since her posts were made on the X platform which supports free expression and dialogue, even on contentious issues and particularly on matters of scientific and medical importance.”  

Gill noted on X Tuesday that her “notice of motion for leave to appeal will be filed” next week “to begin process.” 

She also thanked Musk and X for supporting her legal cause.  

Gill had said that she had “suddenly” found herself going “against the narrative,” and was then “seen as a black sheep and as someone who should be shunned.” 

Many Canadian doctors who spoke out against COVID mandates and the experimental mRNA injections have been censured by their medical boards. 

Earlier this month, Elon Musk’s X announced that it will fund the legal battle for another Canadian doctor critical of COVID lockdowns, Dr. Matthew Strauss, an Ontario critical care physician and professor, against his former employer Queen’s University after it forced him to resign. 

In an interview with LifeSiteNews at its annual general meeting in July 2023 near Toronto, canceled doctors Mary O’Connor, Mark Trozzi, Chris Shoemaker, and Byram Bridle were asked to state their messages to the medical community regarding how they have had to fight censure because they have opinions contrary to the COVID mainstream narrative. 

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Alberta

Alberta announces citizens will have to pay for their COVID shots

Published on June 16, 2025

By

From LifeSite News

By Anthony Murdoch

The government said that it has decided to stop ‘waste’ by not making the shots free starting this fall.

Beginning this fall, COVID shots in the province will have to be pre-ordered at the full price, about $110, to receive them.  (This will roll out in four ‘phases’. In the first phases COVID shots will still be free for those with pre-existing medical conditions, people on social programs, and seniors.)

The UCP government in a press release late last week noted due to new “federal COVID-19 vaccine procurement” rules, which place provinces and territories as being responsible for purchasing the jabs for residents, it has decided to stop “waste” by not making the jab free anymore.

“Now that Alberta’s government is responsible for procuring vaccines, it’s important to better determine how many vaccines are needed to support efforts to minimize waste and control costs,” the government stated.

“This new approach will ensure Alberta’s government is able to better determine its overall COVID-19 vaccine needs in the coming years, preventing significant waste.”

The New Democratic Party (NDP) took issue with the move to stop giving out the COVID shots for free, claiming it was “cruel” and would place a “financial burden” on people wanting the shots.

NDP health critic Sarah Hoffman claimed the move by the UCP is health “privatization” and the government should promote the abortion-tainted shots instead.

The UCP said that in 2023-2024, about 54 percent of the COVID shots were wasted, with Health Minister Adriana LaGrange saying, “In previous years, we’ve seen significant vaccine wastage.”

“By shifting to a targeted approach and introducing pre-ordering, we aim to better align supply with demand – ensuring we remain fiscally responsible while continuing to protect those at highest risk,” she said.

The jabs will only be available through public health clinics, with pharmacies no longer giving them out.

The UCP also noted that is change in policy comes as a result of the Federal Drug Administration in the United States recommending the jabs be stopped for young children and pregnant women.

The opposite happened in Canada, with the nation’s National Advisory Committee on Immunization (NACI) continuing to say that pregnant women should still regularly get COVID shots as part of their regular vaccine schedule.

The change in COVID jab policy is no surprise given Smith’s opposition to mandatory shots.

As reported by LifeSiteNews, early this year, Smith’s UCP government said it would consider halting COVID vaccines for healthy children.

Smith’s reasoning was in response to the Alberta COVID-19 Pandemic Data Review Task Force’s “COVID Pandemic Response” 269-page final report. The report was commissioned by Smith last year, giving the task force a sweeping mandate to investigate her predecessor’s COVID-era mandates and policies.

The task force’s final report recommended halting “the use of COVID-19 vaccines without full disclosure of their potential risks” as well as outright ending their use “for healthy children and teenagers as other jurisdictions have done,” mentioning countries like “Denmark, Sweden, Norway, Finland, and the U.K.”

The mRNA shots have also been linked to a multitude of negative and often severe side effects in children and all have connections to cell lines derived from aborted babies.

Many Canadian doctors who spoke out against COVID mandates and the experimental mRNA injections were censured by their medical boards.

LifeSiteNews has published an extensive amount of research on the dangers of the experimental COVID mRNA jabs that include heart damage and blood clots.

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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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