Comment by Michael Weissman

Condensed-matter physicist, emeritus professor at the University of Illinois, who argues proximity ascertainment bias undermines the Huanan clustering inference.
[I]f the clustering of unlinked cases is due to proximity ascertainment bias, it contains no useful information about the source.
AI Verified (Feb 3, 2025)
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AI Verified Relevant. In context, the article is explicitly addressing whether early-case clustering near the Huanan market indicates the outbreak source or instead reflects proximity ascertainment/testing bias, and this quote says that if bias explains the clustering, the clustering gives no useful information about the source. That makes a stance on the complete statement clearly 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 Against: the quote says that if the clustering is due to "proximity ascertainment bias," it provides "no useful information about the source." In the article’s surrounding context, Weissman presents the Huanan-market clustering as potentially explained by ascertainment bias or neighborhood effects, not as evidence that the virus emerged there. ([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 shows the post "Big News on Covid Origins" by Michael Weissman dated Feb 03, 2025; the body text contains the exact sentence, "if the clustering of unlinked cases is due to proximity ascertainment bias, it contains no useful information about the source." The submitted form "[I]f ..." is a faithful bracketed capitalization change rather than a substantive alteration, so the quote is authentic and correctly attributed. ([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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