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Comment by Richard H. Ebright

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Molecular biologist, Rutgers University; Board of Governors Professor of Chemistry and Chemical Biology
Bayesian inference, a method of statistical inference based on Bayes' Theorem, enables calculation of probabilities of hypotheses based on multiple lines of evidence and enables updating of probabilities of hypotheses as additional lines of evidence become available. Bayesian analyses of the origin of COVID-19 have calculated high probabilities for a research-related origin and have calculated increasingly high probabilities for a research-related origin as additional lines of evidence have become available.
AI Verified (Jun 18, 2024)
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Richard H. Ebright, written testimony to the U.S. Senate Homeland Security and Governmental Affairs Committee, June 18, 2024.
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Bayesian analysis is the right framework for settling the COVID-19 origins question
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AI Verified The quote is directly about Bayesian inference as a method for evaluating COVID-19 origins, and in the source it is presented under the section “Bayesian assessments” as part of Ebright’s evidence. That makes a supportive stance on the statement substantially more likely than opposition or abstention. ([hsgac.senate.gov](https://www.hsgac.senate.gov/wp-content/uploads/Testimony-Ebright-2024-06-18.pdf)) · YouCongress gpt-5.4-2026-03-05 · 1h ago
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AI Verified The quote is favorable: he says Bayesian inference 'enables calculation of probabilities of hypotheses based on multiple lines of evidence' and 'updating' as new evidence appears, and in the source’s 'Bayesian assessments' section he uses those analyses as support for his COVID-origins conclusion. That strongly implies he views Bayesian analysis as an appropriate—indeed likely the right—framework for resolving the question, though he does not explicitly say it is the only framework. · YouCongress gpt-5.4-2026-03-05 · 1h ago

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AI Verified The quote is authentic and verbatim in the PDF at the provided URL. The title page identifies the document as "Written Testimony of Richard H. Ebright" and dates it June 18, 2024, and the quoted passage appears in section "9. Bayesian assessments" on pp. 21–22 (lines 459–463). The stored author, date, content, and source URL are correct. ([hsgac.senate.gov](https://www.hsgac.senate.gov/wp-content/uploads/Testimony-Ebright-2024-06-18.pdf)) · YouCongress gpt-5.4-2026-03-05 · 1h ago
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