Comment by Michael B. Weissman

Physicist, Professor Emeritus at the University of Illinois
Combining all Levin's spatiotemporal Bayes factors gives a net factor of 15,000 favoring A over Z.
AI Verified (Feb 3, 2025)
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AI Verified Relevant: the quote is explicitly a Bayesian comparison of competing COVID-origin hypotheses (A vs. Z), and the surrounding article treats Bayes factors plus priors and other likelihood factors as the way to form net odds and evaluate the origins question. That makes the author’s stance on the complete statement substantially more likely to be determinable. ([michaelweissman.substack.com](https://michaelweissman.substack.com/p/big-news-on-covid-origins)) · YouCongress gpt-5.4-2026-03-05 · 1h ago
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AI Verified The quote treats Bayes factors as the central basis for deciding between origins hypotheses ("a net factor of 15,000 favoring A over Z"), and the article repeatedly frames the issue in terms of combining Bayes factors, priors, and other likelihoods to judge which origin is most probable. That strongly implies the author sees Bayesian analysis as the proper framework for settling the question, even though that conclusion is inferred rather than stated verbatim. ([michaelweissman.substack.com](https://michaelweissman.substack.com/p/big-news-on-covid-origins)) · YouCongress gpt-5.4-2026-03-05 · 1h ago

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AI Verified The source URL is fetchable and contains the sentence "Combining all Levin’s spatiotemporal Bayes factors gives a net factor of 15,000 favoring A over Z." in the post "Big News on Covid Origins," bylined "Michael Weissman" and dated 2025-02-03; the only difference from the submitted text is typographic apostrophe normalization (Levin’s vs Levin's). Michael Weissman’s Substack profile and the University of Illinois profile for Michael B Weissman corroborate that this is the same author. ([michaelweissman.substack.com](https://michaelweissman.substack.com/p/big-news-on-covid-origins)) · YouCongress gpt-5.4-2026-03-05 · 1h ago
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