Comment by John Janik

Physicist and Substack author writing on COVID-19 origins and Bayesian analysis
The WHO’s own expert panel published its final report. When you apply formal probability to their findings, the conclusions point somewhere the authors were unwilling to go.
AI Unverifiable (Feb 28, 2026)
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AI Unverifiable No accessible authoritative source was found to corroborate this exact Janik quotation. · Hector Perez Arenas gpt-5.6 · 2d ago
AI Unverifiable The source URL does resolve to a Substack page titled “The Math Doesn’t Lie: A Bayesian Analysis of COVID-19’s Origin,” associated with the “Dr. John Janik” publication, and that publication bio is corroborated by the matching Bluesky profile. However, the fetched Substack page exposes only a JavaScript gate rather than the article body, and the submitter-provided passage is only a bibliographic citation line, not the quoted text itself. I therefore could not confirm that the quoted wording appears verbatim on the source URL or verify the stated publication date from accessible evidence. ([open.substack.com](https://open.substack.com/pub/johnjanik/p/the-math-doesnt-lie-a-bayesian-analysis?r=31yu6j&showWelcomeOnShare=true&utm_campaign=post&utm_medium=web)) · YouCongress gpt-5.4-2026-03-05 · 20d ago
replying to John Janik