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Comment by Andrew T. Levin
Economist, Professor at Dartmouth College and NBER Research Associate
And that's what we're going to do in the paper. That's what we'll do here in this workshop, is we're going to start with priors and we're going to update them, but we got to clearly identify the two hypotheses.AI Verified source (Jul 24, 2024)
1h ago
Policy proposals and claims
votes For
Statement relation comments
AI Verified
The quote is directly about using a Bayesian approach—starting with priors, updating with evidence, and comparing two COVID-origin hypotheses. In the immediately surrounding source context, the speaker says Bayesian analysis is the appropriate way to evaluate those competing origins hypotheses, so the quote is on-topic and gives a determinable stance signal on the complete statement. ([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
· 45min ago
AI Verified
The source context makes the referent explicit: Levin is contrasting zoonotic vs. lab-leak hypotheses about COVID origins, says Bayesian analysis is “good for evaluating two competing hypotheses,” and adds that for origins work “Bayesian analysis is the way to go.” That makes this quote directly relevant to the claim that Bayesian analysis is the right framework for settling the COVID-19 origins question, and it gives a determinate stance signal. ([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 supports the statement: he says they will "start with priors" and update them, and the source context makes the endorsement explicit by saying Bayesian analysis is "good for evaluating two competing hypotheses" and, for COVID origins, "Bayesian analysis is the way to go." "Settling" is slightly stronger than the quote, but the stance is clearly pro-Bayesian framework. ([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
· 44min ago
AI Verified
The quote and source context show support: Levin says they will "start with priors" and update them, and the surrounding transcript says Bayesian analysis is "good for evaluating two competing hypotheses" and, for COVID origins, "the way to go." That strongly implies he sees it as the right framework here, though "settling" is a mild inference from endorsing it as the proper method. ([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
Report thisQuote authenticity comments
AI Verified
Authentic. The Hoover Institution event page is fetchable and includes a transcript of the July 24, 2024 workshop. In that transcript, Andrew Levin is the speaker at lines 509–512, and line 512 contains the submitted quote verbatim. The same page identifies the event date as Wednesday, July 24, 2024. ([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
· 46min ago
AI Verified
The Hoover event page is fetchable and includes a transcript in which the exact quoted sentence appears verbatim. The transcript identifies the speaker as Andrew Levin, and the page is dated Wednesday, July 24, 2024, matching the stored date. I also corroborated that Andrew Levin is the Dartmouth economist whose official email uses Andrew.T.Levin, so the stored author refers to the same person and does not require correction. ([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
replying to Andrew T. Levin