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Australian Senate launches landmark excess death inquiry following COVID shot rollout

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From LifeSiteNews

By David James

The Australian Senate has initiated an inquiry into the surge of excess deaths since the 2021 COVID vaccination program, marking the first formal parliamentary examination of this issue worldwide.

The Australian Senate has begun an inquiry into excess deaths since the mass vaccination program of 2021 in an effort to isolate the causes of what is described as the worst level of excess mortality since World War II. It is being touted as the first instance in the world of a Parliament formally examining the issue.

The successful motion, brought by United Australia Party (UAP) Senator Ralph Babet, was his fifth attempt to launch a parliamentary inquiry in two years. Previously, the left-wing Labor government and the Greens had blocked the motion, without explaining why. The Senate’s Community Affairs References Committee is now required to investigate the factors contributing to the abnormally high mortality. The report is expected by the end of August.

It will be a difficult task, and the likelihood that there will be any admissions of wrongdoing by government bureaucrats and politicians is vanishingly small, even if the findings compellingly point to the vaccination program as the reason behind the excess deaths.

A range of excuses and misdirection will be used to confound the picture. The most obvious is the point that correlation does not prove causation. It will likely be argued that just because the excess deaths happened at about the same time as the mass inoculations it does not necessarily mean there is a causal connection. This is true, but it only means that the evidence is circumstantial, which is valid and can be conclusive, especially when there is no obvious alternative explanation and similar surges in deaths have been observed in most countries that were heavily vaccinated.

READ: US gov’t scientists received $710 million from Big Pharma during COVID, watchdog finds

There are likely to be arguments about the precision of the data and the establishment of an appropriate base line. There is little doubt about the overall trend. The Australian Actuaries Institute sounded the alarm in early 2023. But a favoured tactic of bureaucrats is to argue over fine detail in order to distract from the big picture.

There will thus need to be work to get precise data, if that is possible. For example, according to Babet on March 26 this year, the Therapeutic Goods Administration’s (TGA) provisional mortality figures “confirm that to November 2023 there were 15,114, or 10 percent, more deaths than the baseline average.”

Different figures are in an article in globalresearch.ca (referencing figures from Mortality Watch). The excess death figures were below 4 percent in 2021, just under 14 percent in 2022, and just over 7 percent in 2023.

The Australian Bureau of Statistics (ABS) has different figures again: -3.1 percent in 2020 (when politicians were saying a deadly pandemic was ravaging the country), 1.4 percent in 2021, 10.9 percent in 2022, and 9.1 percent in 2023. These inconsistencies will have to be resolved.

Another likely tactic is that it will be argued that the problem is “multi-factorial”: that the deaths were caused by many things. This will have some truth to it – the lockdowns probably led to increased suicide rates, for example – and it is likely that it will be used to confuse the picture. But it will not explain the size of the excess mortality, which is the equivalent of what happens in a war. To explain that a novel reason is required, not causes of death that have existed for a long time.

READ: UK study of children shows heart inflammation develops after COVID vaccination, not infection

The aggregate mortality statistics are not the only relevant data; there are other pieces of evidence that can help fill in the picture. One is that the excess deaths, which have occurred in all age groups, do not seem to have been the result of COVID itself. According to the ABS in 2022, when the excess deaths were at their peak, the median (average) age of death for COVID-19 was 86, significantly higher than average life expectancy in Australia. That suggests relatively few working age and younger people died from the disease. So, what killed them?

Another pointer is a report that there have been 20 percent more sudden cardiac arrests in Victoria than five years ago – and more than 95 percent of the patients are dying. “Of the 7,830 people whose hearts stopped beating due to this condition in 2022/23, just 388 survived, the latest Ambulance Victoria figures reveal,” reports the Herald Sun. The ABC, the national broadcaster, reported that many of the heart attack victims are young, but did not investigate any further.

The state government’s response has been to buy more defibrillators. There has been no mention of the vaccines as a possible cause despite accumulating evidence that the heart conditions myocarditis and pericarditis are the most commonly reported adverse events associated with the vaccines.

Especially telling has been the TGA’s response. They simply stopped reporting on myocarditis and pericarditis. Such tactics are typical of Australian bureaucrats’ efforts to protect themselves.

The biggest challenge will be analyzing causation of the deaths in an environment where most of the people providing the data have a vested interest in not having their actions exposed, especially when the evidence might show that they have committed a homicide. Australian doctors and academics are also under threat of losing their careers if they voice their doubts about the vaccines. They, too, are hardly likely to be eager to take responsibility for deadly mistakes.

It is more likely that the exposing of the truth in Australia will have to wait for the insights of experts such as Dr. Francis Boyle, who was responsible for drafting the United States’ 1989 Biological Weapons and Antiterrorism Act. He recently testified in a Florida court case that the “mRNA nanoparticle injections” are “biological weapons and weapons of mass destruction.”

If true, it seems very unlikely that Australian health authorities knew. The TGA admitted that it just followed the FDA’s recommendations throughout the crisis. But given that it is supposed to be their job to know it is no excuse.

 

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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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