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The Great Statistical Deception of COVID Data

The Great Statistical Deception of COVID Data

Update: 2025-12-03
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The source is a transcript from a 2025 seminar where Professor Bronageri presents findings from a research paper critically examining the statistical data and communications surrounding COVID-19 vaccines in Italy. The analysis asserts that health authorities often obscured true vaccine benefit by focusing exclusively on relative risk reduction while ignoring the much lower figures for absolute risk reduction, a crucial metric for mass vaccination. A central criticism involves statistical biases, such as the practice of counting vaccinated individuals within 14 days of inoculation as unvaccinated, thereby artificially inflating the vaccines' perceived effectiveness in observational data. Additionally, the critique exposes how the reliance on passive surveillance severely underestimated the frequency of adverse events compared to active monitoring studies and clinical trials. Bronageri concludes that systematic methodological errors and manipulated data visualizations consistently resulted in an institutional narrative that overstated efficacy and minimized potential risks.

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The Great Statistical Deception of COVID Data

The Great Statistical Deception of COVID Data

Mana Bond Limited