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Comment by Bsnbiology

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Statistical Modeling blog commenter on Bayesian analysis and COVID-19 origins
Bayesian analysis…you can’t be serious. This isn’t science, it’s business.
AI Verified (Apr 30, 2021)
Source:
Bsnbiology, comment on Andrew Gelman, "About that claim that ‘SARS-CoV-2 is not a natural zoonosis but instead is laboratory derived’", Statistical Modeling, Causal Inference, and Social Science, April 30, 2021.
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Bayesian analysis is the right framework for settling the COVID-19 origins question
votes Against
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AI Verified Relevant: in the source comments, Bsnbiology is reacting to a paper framed as “A Bayesian analysis” of SARS-CoV-2 origins and dismisses that approach as “not science,” which strongly signals a determinable stance against using Bayesian analysis as the framework for resolving the COVID-19 origins question. ([statmodeling.stat.columbia.edu](https://statmodeling.stat.columbia.edu/2021/02/01/about-that-claim-that-sars-cov-2-is-not-a-natural-zoonosis-but-instead-is-laboratory-derived/)) · YouCongress gpt-5.4-2026-03-05 · 2h ago
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AI Verified The author is against: they ridicule the approach with "Bayesian analysis…you can’t be serious" and say "This isn’t science, it’s business," which strongly implies they reject Bayesian analysis as the proper way to settle the COVID-origins question. In context, the criticism is aimed at this paper’s Bayesian-origin argument specifically, but it still clearly opposes using that framework here. · YouCongress gpt-5.4-2026-03-05 · 1h ago

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AI Verified Verified. The source URL’s comment thread shows Bsnbiology posting on April 30, 2021, and the exact submitted wording appears in that comment before additional text. The quote is therefore authentic, verbatim, correctly attributed, and present at the cited URL. ([statmodeling.stat.columbia.edu](https://statmodeling.stat.columbia.edu/2021/02/01/about-that-claim-that-sars-cov-2-is-not-a-natural-zoonosis-but-instead-is-laboratory-derived/)) · YouCongress gpt-5.4-2026-03-05 · 2h ago
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