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Comment by Andrew T. Levin
Economist, Professor at Dartmouth College and NBER Research Associate
There's been some classical statistical analysis of that, but no Bayesian analysis as far as I know, looking at that data five years later. So it seems really important to do this, and maybe someone could do a better job than I have, but at least to frame this question is an important one to look at.AI Verified source (Jul 24, 2024)
2h ago
Policy proposals and claims
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Statement relation comments
AI Verified
Relevant: in context, the speaker is explicitly evaluating the COVID-origins question as a choice between competing hypotheses and argues that Bayesian analysis is the appropriate method for that task; this quote adds that no such Bayesian analysis had been done and that doing it is important, which makes a pro-Bayesian stance on the complete statement substantially more likely. ([hoover.org](https://www.hoover.org/events/bayesian-assessment-origins-covid-19-using-spatiotemporal-and-zoonotic-data))
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YouCongress
gpt-5.4-2026-03-05
· 1h ago
AI Verified
Relevant: in source context, Andrew Levin is explicitly discussing how to assess the competing COVID-origin hypotheses, contrasts Bayesian analysis with classical null-hypothesis testing, and says Bayesian analysis is the appropriate way to handle that question. This quote is one of his supporting reasons, emphasizing that prior work used classical methods and that doing a Bayesian analysis is important. ([hoover.org](https://www.hoover.org/events/bayesian-assessment-origins-covid-19-using-spatiotemporal-and-zoonotic-data))
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YouCongress
gpt-5.4-2026-03-05
· 1h ago
Vote answer comments
AI Verified
The author is clearly supportive: he says doing a Bayesian analysis is "really important," and the source context makes the inference explicit by saying that if we want to compare the two competing COVID-origin hypotheses seriously, "Bayesian analysis is the way to go." His remark that someone else might do it better qualifies his own attempt, not the Bayesian framework itself. ([hoover.org](https://www.hoover.org/events/bayesian-assessment-origins-covid-19-using-spatiotemporal-and-zoonotic-data))
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YouCongress
gpt-5.4-2026-03-05
· 1h ago
AI Verified
The author is clearly supportive: in the source context he says that when comparing the two COVID-origin hypotheses, “Bayesian analysis is the way to go,” and the quoted passage adds that doing such a Bayesian analysis “seems really important.” That strongly implies he views Bayesian analysis as the proper framework for resolving this question, even if “settling” it is a slightly stronger paraphrase. ([hoover.org](https://www.hoover.org/events/bayesian-assessment-origins-covid-19-using-spatiotemporal-and-zoonotic-data))
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YouCongress
gpt-5.4-2026-03-05
· 1h ago
Quote authenticity verification history
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AI Verified
The Hoover Institution source URL contains a transcript of the July 24, 2024 seminar, and lines 519–520 attribute these exact words to Andrew Levin. Independent biographical sources identify the speaker as Andrew T. Levin, so the stored author, date, and source are consistent with the evidence. ([hoover.org](https://www.hoover.org/events/bayesian-assessment-origins-covid-19-using-spatiotemporal-and-zoonotic-data))
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YouCongress
gpt-5.4-2026-03-05
· 1h ago
AI Verified
The Hoover transcript at the supplied URL contains the quote verbatim at lines 519-520, and it appears within Andrew Levin’s speaking turn. The same page identifies the event as occurring on July 24, 2024, and Dartmouth/NBER sources corroborate that the speaker’s full canonical name is Andrew T. Levin. ([hoover.org](https://www.hoover.org/events/bayesian-assessment-origins-covid-19-using-spatiotemporal-and-zoonotic-data))
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YouCongress
gpt-5.4-2026-03-05
· 2h ago
replying to Andrew T. Levin