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Witness Testimony

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Keywords from Transcript

age-standardized mortality, excess mortality analysis, hospital coding transfer, ICD-10 U07 codes, synchronized death curves, RT-PCR test validity, asymptomatic case counting, health passport policy, vaccine trial methodology, Pfizer phase III data, test bias concerns, pharmacovigilance reports, vaccination campaign timing, neonatal mortality spike, fertility decline statistics

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Mr. Pierre Chaillot

Statistician

Expert

Witness ID:

NCI-W-227

Hearing

Québec City

Québec

Date:

May 11, 2023

Report

Inquiry into the Appropriateness and Efficacy of the COVID-19 Response in Canada; November 2023

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Main Topic

Statistical critique of COVID-19 mortality, hospitalizations, testing practices, vaccine efficacy claims, and post-vaccination safety signals using official European data sources.

One Line Summary

A statistician challenges official COVID-19 data interpretations, arguing that mortality, testing, and vaccine effectiveness statistics reflect administrative and methodological factors rather than a widespread viral event.

Synopsis

Pierre Chaillot, a trained statistician and former INSEE professional, presented an analysis of official European mortality and hospital data, arguing that age-standardized mortality rates in 2020 did not demonstrate an unprecedented mass mortality event. He emphasized demographic aging as a primary driver of raw death increases and stated that hospital overcrowding claims were inconsistent with reported admission data. He further argued that changes in ICD-10 coding and reimbursement practices led to reclassification of respiratory illnesses under COVID-19 categories, rather than the emergence of a statistically distinct disease pattern.
He examined testing practices, asserting that RT-PCR positivity rates reflected administrative testing strategies rather than symptomatic disease prevalence. According to his analysis, case counts rose in correlation with policy changes such as health passports and testing mandates, which disproportionately required testing among the unvaccinated. He also critiqued vaccine trial methodology, focusing on reliance on positive test outcomes rather than symptomatic disease, the size of effect estimates, cohort exclusions, and potential testing bias within phase III trials.
Regarding vaccination safety, Chaillot stated that while he did not observe evidence of a mass mortality event post-vaccination, he identified statistical signals of excess mortality temporally aligned with vaccination campaigns in certain age groups across European countries. He referenced pharmacovigilance reports of adverse events, correlations between vaccination timing and mortality peaks, reported declines in fertility following vaccination campaigns, and increased neonatal mortality in specific datasets. He concluded that statistical patterns suggest the need for transparent raw data access and independent analysis to evaluate policy decisions and health outcomes.

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