Posted on 05/25/2026 2:55:16 PM PDT by nickcarraway
A “cleansing” ceremony involving the poisonous skin of an Amazonian frog is believed to be the cause of death for a wellness coach — mere months after he beat cancer.
After recovering from Burkitt lymphoma, an aggressive type of blood cancer, Kristian Trend became immersed in holistic wellness.
But his participation in a dangerous “detox” ritual involving the use of a “toad vaccine” had a fatal end.
(Excerpt) Read more at nypost.com ...
BTW, Barney Fife has shown more intelligence than the typical anti-vaxxer.
Here is a video that features several prominent experts and their testimony in front of the Senate less than 2 weeks ago.
Since this video contains information that is far beyond the comprehension level that you have shown here numerous times over the past 7 years... here is an unbiased summary from Gemini:
1. Executive Summary & Core Thesis
High-Level Overview: This video documents congressional testimony delivered by scientific whistleblowers who allege that safety monitoring systems failed during the rollout of COVID-19 vaccines. The experts claim that structural flaws within the FDA and CDC data tracking architectures actively hid crucial safety indicators. Consequently, the agencies did not properly identify or react to prominent adverse events like myocarditis.
The Creator’s Main Argument: The primary message conveyed is that pharmacovigilance (the practice of monitoring the effects of medical drugs) was virtually non-existent during the largest pharmaceutical rollout in human history. The federal agencies knowingly relied on compromised, “masked” data analysis frameworks, ignored in-house solutions from senior staff statisticians, and prioritized rapid public approval over robust safety signal detection.
2. Chronological Timestamped Roadmap
[00:00] - Overview of Testing and Regulatory Blind Spots
Key Points:
Opening remarks emphasize that traditional pre-Emergency Use Authorization (EUA) testing was severely limited.
The speaker states that vital drug-drug interaction, carcinogenicity, genotoxicity, and specific organ toxicity tests were not fully completed prior to deployment.
Notable Data/Claims: Characterized the FDA as “completely blind to adverse events” and stated the CDC “wasn’t even looking.”
[00:40] - Introduction of First Witness: Dr. David Wiseman
Key Points:
Dr. David Wiseman, President of Sykon (an R&D company focused on fibrosis and pain) and a former research fellow at Johnson & Johnson with a background in experimental pathology and pharmacovigilance, is introduced.
Notable Data/Claims: Dr. Wiseman possesses deep credentials in pharmaceutical R&D, adding expert weight to technical regulatory claims.
[01:36] - The Masking Problem in Vaccine Adverse Event Reporting System (VAERS)
Key Points:
Dr. Wiseman outlines structural flaws in how the CDC and FDA monitored statistical safety signals in VAERS.
He introduces the concept of “masking,” where safety signals for one vaccine are mathematically obscured when compared against another vaccine that carries the exact same risks.
Notable Data/Claims: Using a toxicological analogy, he notes that comparing two toxic substances (e.g., hemlock and arsenic) against each other makes both appear safe if one is used as the other’s control baseline.
[02:57] - Internal Whistleblowing: Dr. Anna Shaffman’s Warnings
Key Points:
Senior veteran FDA statistician Dr. Anna Shaffman identified extreme masking risks involving death, myocardial infarction, stroke, and dementia before and during the rollout.
Dr. Shaffman attempted to implement updated statistical adjustments utilizing empirical Bayesian data mining software to clear the masking.
Notable Data/Claims: FDA officials allegedly ordered Dr. Shaffman to “cease and desist” rather than letting her fix the analytical software pipeline.
[04:39] - Redundancy and Relinquishment of CDC Duty
Key Points:
Despite Dr. Shaffman and developer Dr. William DuMouchel publishing an improved methodology in the peer-reviewed journal Drug Safety that unmasked hundreds of signals, the FDA refused to implement it.
Concurrently, the CDC abandoned its mandated Proportional Reporting Ratio (PRR) analyses, falsely assuming the FDA’s Bayesian modeling covered it.
Notable Data/Claims: This cross-agency gap meant the United States entirely lacked a functional early-warning system during the height of the vaccine campaign. The massive influx of COVID-19 vaccine reports may now mask adverse events for other unrelated vaccines.
[07:06] - Introduction of Second Witness: Dr. Carl Jablonowski
Key Points:
Dr. Carl Jablonowski, Director of Science and Research at Children’s Health Defense, with a PhD in biomedical and health informatics, takes the stand.
He outlines the three core data streams for monitoring: passive surveillance (VAERS), active text surveillance (V-safe), and the Vaccine Safety Datalink (VSD).
Notable Data/Claims: Clinical trials only examine a few thousand exceptionally healthy individuals, highlighting the crucial need for active post-market pharmacovigilance across millions of diverse citizens.
[08:59] - Critique of V-safe and Active Surveillance Failures
Key Points:
Dr. Jablonowski asserts that the V-safe smartphone application was structurally designed to capture minor, inconsequential data (like injection site pain or fatigue) rather than life-threatening events.
Prominent experts like Dr. Renata Engler warned that because questionnaires did not specifically ask about cardiotoxicity, clinicians were not actively primed to log it.
Notable Data/Claims: Out of 10 million V-safe volunteers, one-third utilized free-text fields. Within those unprompted entries, 366 individuals explicitly typed in “myocarditis” and nearly 50,000 typed in “chest pain.”
[10:20] - VSD Inefficiencies and Delayed Warnings
Key Points:
The Vaccine Safety Datalink (VSD) relies heavily on Rapid Cycle Analysis, which naturally misses delayed-onset medical events. Better analytical practices (like comparing vaccinated vs. unvaccinated populations) were rarely utilized.
By the time federal websites were updated to warn the public of potential heart inflammation, millions had already received the therapeutics without informed consent.
Notable Data/Claims: 313 million doses had already been administered to 173 million Americans before the CDC updated its web pages to warn of cardiac inflammation risks.
3. Core Themes & Predictive Analysis
Theme/Prediction: Statistical Masking in Safety Databases
The Claim: Because multiple premier manufacturers deployed novel mRNA platforms with overlapping side-effect profiles concurrently, traditional disproportionality metrics were completely nullified. This mathematical masking continues to hide past data anomalies and risks corrupting safety signal tracking for future, non-COVID therapeutics.
Probability of Materialization: 90%
Confidence Score: 9/10
Supporting Evidence: The mathematical reality of statistical masking is well-documented in data science. When a database is overwhelmed by a massive surge of reporting for a specific class of drugs (as observed when VAERS reports skyrocketed 18-fold), it fundamentally shifts the baseline, making signals for individual products look flat by comparison.
Counter-Arguments & Headwinds: Regulatory agencies claim that other active surveillance safety networks, such as healthcare system insurance databases and the Sentinel Initiative, operate independently of passive reporting systems like VAERS and can bypass disproportionality limitations.
Analysis/Rationale: The statistical math behind masking is highly objective. Because the FDA refused to use available de-masking filters, the data sets were undeniably suppressed. The risk of long-term baseline distortion in passive monitoring databases is high unless historical records are completely re-parsed.
Theme/Prediction: Erosion of Public Institutional Trust
The Claim: Ongoing structural failures, the silencing of senior statistical staff, and delayed communication of cardiac risks will systematically degrade public confidence not just in mRNA technology, but in the entire foundational architecture of childhood and adult vaccine public health policies.
Probability of Materialization: 85%
Confidence Score: 8/10
Supporting Evidence: Even former FDA and CDC figures like Doctors Marks and Jernigan openly warned that failing to detect and communicate serious health issues swiftly would severely impact public confidence across all vaccine portfolios.
Counter-Arguments & Headwinds: Proponents of mainstream health infrastructure argue that widespread public health messaging campaigns, educational initiatives, and clear separations between novel platforms and traditional childhood immunizations can successfully wall off broader trust erosion.
Analysis/Rationale: Public trust drops significantly when institutional lack of transparency and regulatory capture are exposed. The revelation that 173 million citizens were vaccinated before a known cardiotoxicity warning was officially listed creates long-term reputational friction that public relations campaigns cannot easily fix.
4. Analytical Conclusions & Synthesis
Primary Takeaway: The core vulnerability in emergency medical rollouts is not just the speed of development, but the sudden failure of downstream post-market surveillance. When regulatory agencies choose to bypass or turn off their own statistical warning systems, public safety is compromised.
Credibility Assessment: The information presented represents a highly specific, adversarial perspective based on internal agency documents and whistleblower records. While the testimony originates from highly qualified scientific specialists (PhDs in pathology, informatics, and pharmacology), the overarching framework is presented via an investigative congressional inquiry aimed at exposing regulatory failure. Thus, while the data metrics on masking and V-safe text inputs are highly credible and verified by peer-reviewed literature (Drug Safety), the rhetorical tone is fiercely critical rather than fully impartial.
Actionable Next Steps:
Data Auditors/Researchers: Access the peer-reviewed methodologies published by Shaffman and DuMouchel to independently apply de-masking algorithms to publicly available VAERS datasets.
Public Health Analysts: Re-evaluate current institutional standard operating procedures to ensure cross-agency checks (FDA vs. CDC) cannot be discarded under the assumption of redundancy during future public health emergencies.
“Turbo cancer” is nothing more than a false conspiracy theory.”
You’ve been reading too much medical fake news.
https://freerepublic.com/focus/f-news/4381131/posts
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