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Freedom Convoy judge questions why Ottawa police officers had phone data wiped during protest

Published

2 years ago

7 minute read

From LifeSiteNews

By Anthony Murdoch

Justice Heather Perkins-McVey noted that it was ‘unusual’ that the officers knew ‘they had to have their phones upgraded and yet did not take the responsible steps to ensure that all the evidence and disclosure was preserved.’

The trial for Freedom Convoy leaders Tamara Lich and Chris Barber resumed Thursday this week, seeing Justice Heather Perkins-McVey note that it was “unusual” that two Ottawa Police Service (OPS) officers who interacted with protestors had their phone data wiped during the protests.  

Perkins-McVey said in court that the OPS officers “knew they had to have their phones upgraded and yet did not take the responsible steps to ensure that all the evidence and disclosure was preserved.” 

The Democracy Fund (TDF), which is crowdfunding Lich’s legal costs, noted in a Day 22 trial update that Perkins-McVey found it “interesting that two PLT [Police Liaison Team] officers had their phones wiped” of important Signal chats between them and protestors.  

“She questioned how many other officers had experienced the same,” noted the TDF. 

Last Thursday, during Day 20 of the trial, a second police witness, Nicole Bach of the OPS PLT, testified her police-provided phone was “wiped” of all information when asked by the judge if she had copies of vital information of conversations between her and protesters.  

Bach was the second police officer in less than a week to testify that their phone was suddenly “wiped” of all data. 

OPS liaison team officer Isabelle Cyr testified last week that her contacts were “wiped” clean from her phone between January 27 and February 9, 2022, which was when the main protests took place. 

She noted to the court, however, that she had some text message exchanges with Freedom Convoy organizer Chris Barber printed out before her information was “wiped.” 

Yesterday in court, defense counsel Eric Granger referred to an email from an Officer “Li” which was made to Bach, and suggested that by May 2022, it was evident that the “PLT officers were seeking evidence that might have been lost while highlighting the absence of an email response from Bach in the disclosure.” 

Diane Magas, counsel for Chris Barber, “reiterated her request for a response regarding when Bach was directed to update her phone and why she updated it when she did, leading to the phone’s wipe.” 

Last Friday, during Day 21 of the trial, Bach was again cross-examined which resulted in disclosure concerns pertaining to her testimony on Day 20 about her phone getting wiped.  

As per the TDF, the “defense team requested disclosure about the reasons behind the ‘wiping’ of Officer Bach’s cell phone. The Crown and defense left the courtroom together to discuss the issue.” 

Documents requested by the defense given to them in ‘blacked out’ form  

Lich and Barber’s defense has thus far only received completely blacked-out documents concerning the phone wipes of the OPS officers.

On Thursday in court, lawyers for Lich and Barber noted to the court they got copies of five internal emails they had requested, which were said to be communications between officers, but they were heavily redacted and wondered why this was the case.  

The OPS had claimed the emails were protected by solicitor-client privilege.  

Lawyer Vanessa Stewart, who was in court on behalf of the OPS, claimed that some of the emails have evidence from the Crown, which was shared between officers.  

The TDF noted that “Granger pointed out that solicitor-client privilege typically does not exist between the police and the crown, leading to discussions about the involvement of the crown in such legal discussions with the police.” 

Perkins-McVey inquired to Crown lawyers if the “Ottawa police were in a position to waive privilege, assuming privilege existed in the first place.” 

Stewart replied with a “No.” 

The TDF noted that Perkins-McVey questioned how communication “between two officers could trigger solicitor-client privilege.” 

In response, Stewart “maintained that the conversation was about legal advice received from the crown, justifying the privilege.” 

Perkins-McVey “noted that it was not clear whether solicitor-client privilege had been sufficiently established.” Stewart after this, “then made submissions on the waiver of privilege.”  

Lich and Barber’s trial has thus far taken more time than originally planned due to the slow pace of the Crown calling its witnesses. LifeSiteNews has been covering the trial extensively. 

Last week, bail-related charges placed against Lich for attending an awards ceremony were stayed by the Crown in a move that comes during her weeks-long trial for leading the convoy, which is separate from her bond charges. 

In early 2022, the Freedom Convoy saw thousands of Canadians from coast to coast come to Ottawa to demand an end to COVID mandates in all forms. Despite the peaceful nature of the protest, Prime Minister Justin Trudeau’s federal government enacted the Emergencies Act in mid-February, leading to Lich’s arrest two days later on February 17, 2022. 

After the protesters were cleared out, which was done through the freezing of bank accounts of those involved without a court order as well as the physical removal and arrest of demonstrators, Trudeau revoked the EA on February 23. 

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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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