Comment by Michael Weissman

Condensed-matter physicist, emeritus professor at the University of Illinois, who argues proximity ascertainment bias undermines the Huanan clustering inference.
What is most striking about Levin's results is that the unlinked case home address location-time pairs point rather strongly away from the HSM story unlike the common lore that they point extremely strongly toward the HSM story.
AI Verified (Feb 3, 2025)
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AI Verified Relevant: the article’s surrounding context explicitly frames the dispute as whether early unlinked cases clustered near the Huanan market because the market was the outbreak origin or because nearby cases were more likely to be detected/tested. Weissman says Levin’s location-time analysis points away from the Huanan-market-origin story and also discusses ascertainment bias as an alternative explanation, so the quote gives a determinable stance on the complete statement. ([michaelweissman.substack.com](https://michaelweissman.substack.com/p/big-news-on-covid-origins)) · YouCongress gpt-5.4-2026-03-05 · 59min ago
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AI Verified The quote says Levin’s results make the unlinked case location-time data point "rather strongly away from the HSM story," not toward it; in the article’s context, Weissman adds that the clustering could reflect ascertainment bias/proximity to where testing looked or neighborhood population structure rather than the virus’s emergence site. ([michaelweissman.substack.com](https://michaelweissman.substack.com/p/big-news-on-covid-origins)) · YouCongress gpt-5.4-2026-03-05 · 58min ago

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AI Verified The source URL is fetchable, and the Substack post titled "Big News on Covid Origins" contains this exact sentence in the body of the article. The byline on the page is Michael Weissman, and the post date shown is Feb 03, 2025. Weissman’s identity is also corroborated by his University of Illinois profile. ([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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