COVID-19
Emails obtained by CHD reveal government’s failure to monitor COVID vaccine injury reports

This article was originally published by The Defender — Children’s Health Defense’s News & Views Website.
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VAERS received approximately 1.4 million reports of adverse events associated with the COVID shots, including 91,000 for Janssen, 491,000 for Moderna and 806,000 for Pfizer… despite these numbers, the FDA noted a steadily increasing number of alerts for adverse events associated with the Janssen vaccines, while noting just a handful of alerts for Moderna and Pfizer
Newly posted email records on the U.S. Food and Drug Administration (FDA) website reveal that in the first 18 months after COVID-19 vaccines were rolled out to the public, the agency’s data monitoring of the Vaccine Adverse Event Reporting System (VAERS) showed consistent alerts for serious adverse events (including death) for the Janssen vaccine.
Meanwhile, the FDA’s monitoring found almost no safety signals for the Moderna and Pfizer shots, failing to detect signals even for widely recognized risks like myocarditis, pericarditis, and anaphylaxis.
The information is contained in emails sent by the FDA to key personnel in the Centers for Disease Control and Prevention’s (CDC) Immunization Safety Office between Jan. 12, 2021 and July 5, 2022.
Each email is accompanied by a list of adverse events for which the FDA says its weekly data analysis of VAERS yielded a statistical “alert” indicating a potential safety issue with the COVID-19 shots that may have required action on the agencies’ part.
The FDA posted the emails — under the banner “Empirical Bayesian Data Mining Records” — one day after the agency objected to a motion filed by Children’s Health Defense (CHD) in federal court pertaining to a 2023 Freedom of Information Act (FOIA) lawsuit.
The motion asks the court to order the FDA to disclose VAERS safety-monitoring records that CHD requested from the agency in July 2022.
According to Ray Flores, senior outside counsel to CHD, “The emails are further evidence of the federal government’s failure to make good on its promises to use VAERS as an ‘early warning system’ to detect and act on risks associated with the new vaccines.”
CDC claimed vaccines were ‘safe’ despite record number of VAERS reports
The CDC’s searchable online VAERS database indicates that in the 18 months of data monitoring covered by the emails, VAERS received approximately 1.4 million reports of adverse events associated with the COVID shots, including 91,000 for Janssen, 491,000 for Moderna and 806,000 for Pfizer.
The emails show that despite these numbers, the FDA noted a steadily increasing number of alerts for adverse events associated with the Janssen vaccines, while noting just a handful of alerts for Moderna and Pfizer, mostly for product administration issues.
Due to concerns about six instances of severe blood clotting, the CDC and FDA “paused” the Janssen vaccine’s authorization on April 13, 2021. However, the agencies lifted the pause 10 days later, based on a “review of all available data and in consultation with medical experts and based on recommendations from the CDC’s Advisory Committee on Immunization Practices [ACIP].”
The agencies wrote that they had “confidence that this vaccine is safe,” and promised they would “continue with these efforts to closely monitor the safety of these vaccines.”
However, after the pause was lifted, the FDA emails show that the agency consistently noted EB-mining alerts for Janssen vaccines for various types of thrombotic and other serious adverse events, including death.
For example, an alert for “deep vein thrombosis” was noted on May 11, 2021, and in every subsequent email. An alert for “death” was noted on March 8, 2022, and in every subsequent email.
READ: Cancer drug pioneer praises RFK Jr., suggests link between childhood cancer and COVID shots
In December 2021, the ACIP recommended “preferential use of mRNA COVID-19 vaccines over the Janssen COVID-19 vaccine.” However, Janssen remained available in the U.S. until May 22, 2023, when the company requested a withdrawal of the emergency use authorization (EUA).
For the Pfizer and Moderna shots, the FDA emails show that in 18 months of EB mining, the FDA noted alerts for various types of product administration issues and a handful of clinical outcomes, but failed to note alerts for myocarditis, pericarditis and anaphylaxis.
Yet as of June 30, 2022, VAERS had received 8,333 anaphylaxis reports (including 1,656 for Moderna, 6,427 for Pfizer, and 227 for Janssen), 10,166 pericarditis reports (including 1,879 for Moderna, 8,084 for Pfizer, and 181 for Janssen), and 15,353 myocarditis reports (including 3,607 for Moderna,11,487 for Pfizer, and 215 for Janssen), according to the CDC’s database.
CDC anticipated deluge of vaccine injury reports following COVID shots
According to the CDC, COVID-19 shots “underwent the most intensive safety analysis in U.S. history” and “continue to be monitored for safety.” A key component of that monitoring is VAERS, which the agency refers to as the “nation’s early warning system that monitors the safety” of vaccines, and “can often quickly detect an early hint or warning of a safety problem with a vaccine.”
VAERS, which is co-managed by the Centers for Disease Control (CDC) and Prevention and the FDA, is a “passive” monitoring system that accepts reports of adverse events experienced after vaccination.
Months before the FDA granted emergency use authorizations for the COVID-19 shots, the CDC anticipated that VAERS would be deluged with reports of adverse events following COVID-19 vaccination.
READ: Canadian parents wary of COVID, flu shots for children despite government propaganda: report
In a July 2020 multimillion-dollar VAERS-management contract between the CDC and General Dynamics Information Technologies (GDIT), the CDC predicted that the “total number of reports received during periods of peak activity (which are not expected to reflect sustained activity) is expected to be 1,000 reports per day, with up to 40% of the reports serious.”
As it turned out, the GDIT contract underestimated the number of adverse events. According to monthly status reports from GDIT, in January 2021, the number of incoming reports rose to over 2,500 per day.
By April 2021, GDIT indicated it would begin processing 25,000 reports per week to keep up with new and backlogged reports.
FDA, CDC promised to use 2 types of data analysis to detect safety signals in VAERS
Despite the unprecedented volume of adverse event reports for COVID-19 shots, the CDC and FDA have consistently noted that a report to VAERS does not, on its own, prove that a vaccine caused the reported adverse event — nor does a high number of adverse events reported for a particular type of vaccine prove causation.
Rather, to determine whether there could be a causal link between a vaccine and a particular type of adverse event, the CDC and FDA monitor VAERS in various ways, including by using data mining to look for statistical “signals” indicating a higher-than-expected number of reports for a given type of adverse event.
When the data analysis yields a signal, further investigation is required to determine if the vaccine poses a safety risk.
The agencies’ VAERS safety-monitoring duties for the COVID-19 shots are spelled out in the VAERS “Standard Operating Procedures (SOP) for COVID-19 (as of 29 January 2021),” which states that the agencies would conduct “routine VAERS surveillance to identify potential new safety concerns for COVID-19 vaccines.”
The VAERS SOP describes how the agencies would detect potential safety signals, stating:
“Two main approaches to data mining are Proportional Reporting Ratios (PRRs) and Empirical Bayesian Geometric Means. Both have published literature suggesting criteria for detecting “signals.” PRR will be used at CDC for potential signal detection; Empirical Bayesian data mining will be performed by FDA.”
The SOP specifies that PRR analysis would be conducted on a weekly basis or “as needed” and EB mining would be conducted at least bi-weekly.
Under the VAERS SOP, the agencies would “share and discuss results of data mining analyses and signals” and investigate potential signals as necessary to determine whether they indicated genuine safety concerns.
The process is also described in a March 2023 letter from the FDA and CDC to Florida Surgeon General Joseph Ladapo:
“FDA and CDC physicians continuously screen and analyze VAERS data for possible safety concerns related to the COVID-19 vaccines. For signals identified in VAERS, physicians from FDA and CDC screen individual reports, inclusive of comprehensive medical record review.”
The VAERS SOP also promised that the VAERS contractor (GDIT) would provide daily emails to the CDC and the FDA with lists of VAERS ID numbers for “adverse events of special interest” (AESIs), and that FDA would routinely conduct “manual review” of AESIs.
Agencies relied solely on FDA analysis, even after confirming failure to detect key signals
According to Brian J. Hooker, Ph.D., CHD’s chief scientific officer:
“PRR and EB mining provide complementary methods of ‘disproportionality analysis.’ Essentially, PRR compares the rate of adverse events in the vaccine being studied with the rate in another vaccine (typically of older vintage), looking for statistical signals that the rate in the studied vaccine exceeds expectations.
“EB mining also looks for statistical signs of a disproportionately high number of adverse events. However, the basis for comparison is the expected rate of the event in question, typically in the general population.”
Potential safety signals that are eventually highlighted by both approaches may be highlighted earlier by PRR, according to the Council for International Associations of Medical Societies.
In June 2022, responding to a FOIA request from CHD, the CDC admitted it did not conduct the PRR analysis described in the VAERS SOP.
In 2023, responding to additional FOIA requests from CHD and the Epoch Times — and a lawsuit brought by CHD — the CDC said the agencies relied solely on the FDA’s EB mining to analyze “disproportionate reporting” because PRR is “prone to false signals” and EB mining is “a more robust data mining technique.”
Despite the CDC’s decision not to conduct the weekly analysis described in the VAERS SOP, the agency did conduct some PRR analysis for a brief period, from March 25, 2022 through July 31, 2022.
The CDC told CHD it did this for the purpose of “corroborating” the FDA’s EB mining results.
According to PRR records that the CDC eventually provided to CHD as part of the FOIA lawsuit, for the first six weeks of the PRR analysis, the CDC simply compared the adverse event rates between Moderna and Pfizer shots. However, on May 6, the CDC started comparing Pfizer and Moderna mRNA shots to non-COVID vaccines.
According to the CDC, the results of the PRR analysis were “generally consistent with empirical Bayesian data mining, revealing no additional unexpected safety signals.” However, unlike the few alerts detected through the EB mining, the PRR analyses comparing mRNA shots to non-COVID vaccines revealed hundreds of potential safety signals.
For example, the May 6, 2022 analysis, covering reports received by VAERS on or before that date, flagged 777 symptoms, of which 171 are serious, including death, cardiac arrest, and stroke.
For 5-to-11 year-olds, the analysis flagged 56 symptoms, of which 20 are serious, including myo- and pericarditis. For 12-to-17 year-olds, the analysis flagged 95 symptoms, of which 45 are serious, also including myo- and pericarditis.
In stark contrast to these PRR flags, the EB mining runs for Pfizer and Moderna shots on May 10 yielded alerts for nine events related to vaccine administration and a mere three clinical outcomes (‘mechanical urticaria’, ‘exposure via breast milk’, and ‘drug ineffective’).
Despite the apparent failure of the FDA’s EB mining to detect signals that the CDC detected through PRR, the CDC told CHD in June 2023 that the agencies would continue to rely solely on the EB mining, “[g]iven that it is a ‘gold standard’ mining technique.”
“The results of these two methods are simply not ‘generally consistent,’ and a pharmacovigilance system that detects a mere three clinical outcomes while failing to detect the most serious adverse events certainly does not qualify as a ‘gold standard.’” Hooker said. “The CDC’s conclusion that the PRR results support the agencies’ exclusive reliance on EB mining cannot possibly have been made in good faith.”
Agencies have yet to disclose key records of activities under VAERS SOP
Through FOIA requests submitted to the FDA and CDC in the summer of 2022, and the lawsuits filed against both agencies in early 2023, CHD has been attempting to obtain records of the agencies’ activities and findings under the VAERS SOP during the first 18 months after the COVID shots became publicly available in the U.S.
CHD also seeks records of the FDA’s manual review of AESIs; communications and consults between the agencies regarding data mining results and signals; follow-up investigation done in connection with any signals detected; and the daily email reports of adverse events sent to CDC and FDA by the VAERS contractor.
Although the CDC provided some records after CHD sued the agency and the FDA recently posted the emails containing EB-mining results where an alert was generated, many key records are still outstanding.
In connection with the EB mining, the FDA has yet to provide the records of data-mining runs that did not result in alerts, and full data for any of the runs, which should include variables such as the expected rates of adverse events that formed the basis for the FDA’s comparisons.
Additionally, the agencies have not provided records of discussions or consults regarding signals, or records of follow-up investigations they may have conducted when a signal was detected.
The delay in producing records is due in part to court-ordered stays of both lawsuits. The stays were granted after the FDA told courts it does not have ability to process CHD’s FOIA requests because its resources are devoted to fulfilling orders from a Texas court requiring the agency to produce licensing documents for the COVID-shots.
Despite recent calls for “transparency” by a top FDA vaccine official, Dr. Peter Marks, the FDA says it has requested similar stays in at least 10 other FOIA lawsuits, and has received stays in seven of those, including a second CHD lawsuit, which seeks records of the FDA’s safety monitoring of COVID-19 vaccines through its “active surveillance” system.
This article was originally published by The Defender
International
Pentagon agency to simulate lockdowns, mass vaccinations, public compliance messaging

From LifeSiteNews
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.”
Dr. @P_McCulloughMD: "This Is a Military Operation"
"The military said in 2012, 'We will end pandemics in 60 days using messenger RNA.' That's long before Moderna and Pfizer were even in the game. … They are profiting from this, but they didn't drive it." pic.twitter.com/71jAV5wfG0
— The Vigilant Fox 🦊 (@VigilantFox) March 12, 2023
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.
Kennedy on Covid Jabs as a Military Operation:
"Turns out that the vaccines were developed not by Moderna and Pfizer. They were developed by NIH.”
“They're owned. The patents are owned 50% by NIH.
They were manufactured by military contractors.”
pic.twitter.com/R6y8i8tAsD— Jonny Paradise 🌱 (@plantparadise7) April 15, 2025
Reprinted with permission from The Sociable.
Business
Audit report reveals Canada’s controversial COVID travel app violated multiple rules

From LifeSiteNews
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.
The report concluded that one in five contracts did not have proper documentation to show correct security clearances. Also, the report found that federal organizations did not monitor how the contract work was being performed.
‘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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