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Bayesian analysis is the right framework for settling the COVID-19 origins question
Cast your vote:
Results (11 votes):
Total
(11 votes)
For 4 (36%)
Abstain 0 (0%)
Against 7 (64%)
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For (4)
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Steven NovellaYale neurologist and science communicatorvotes For and says:
There are two types of evidence, broadly speaking, we can bring to bear on this question. The first is epidemiological – looking at the earliest cases of COVID including the strains of virus with which they were infected, and data on the virus (such ...
more AI Verified source (Mar 4, 2026)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly. -
Michael B. WeissmanPhysicist, Professor Emeritus at the University of Illinoisvotes For and says:
Combining all Levin's spatiotemporal Bayes factors gives a net factor of 15,000 favoring A over Z.
AI Verified source (Feb 3, 2025)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly. -
Andrew T. LevinEconomist, Professor at Dartmouth College and NBER Research Associatevotes For and says:
These four conditional Bayes factors are estimated as 2.3:1, 20:1, 27:1, and 12:1, respectively, and hence the overall odds ratio is 14,900:1, indicating overwhelming evidence in favor of the hypothesis that the pandemic resulted from an accidental l...
more AI Verified source (Jan 2025) 1 of 2DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly. -
JonathanRootclaim blog authorvotes For and says:
While we agree it’s hard, our experience taught us that it is far from impossible.
AI Verified source (Apr 1, 2024) 1 of 2DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly.
Abstain (0)
Against (5)
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Alan B FranklinUSDA wildlife scientistvotes Against and says:
The competing hypotheses on the origins of SARS-CoV-2 – the pathogen responsible for the COVID-19 pandemic – have been hotly debated in the scientific literature and popular media, especially with respect to the hypothesis that SARS-Cov-2 originated ...
more AI Verified source (Mar 30, 2026)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly. -
Andrew GelmanStatistician and political scientist, Professor at Columbia Universityvotes Against and says:
It's hard to compute Bayesian probabilities for this problem, not so much because of the priors but because of the likelihood, which is the probability of the data given the model. One problem is the selection of what is considered to be data, the ot...
more AI Verified source (Aug 1, 2025) 1 of 2DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly. -
Chrisblog commentervotes Against and says:
In fact I think this is a problem for public understanding of science [...] dressing up pseudoscience with a veneer of “sciency”-sounding arguments [...].
AI Verified source (Feb 4, 2025)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly. -
Anonymousanonymous blog commentervotes Against and says:
Anything claiming to be “Bayesian” but not doing actual Bayesian statistics (fitting models to data and then doing an inference from a posterior distribution, justifying all steps especially the prior) is untrustworthy. I have never seen a convincing...
more AI Verified source (Feb 3, 2025)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly. -
Scott AlexanderAuthor and psychiatristvotes Against and says:
Nobody – not the statisticians, not Nate Silver, certainly not me – tries to do full Bayesian reasoning on fuzzy real-world problems. They'd be too hard to model. You'd make some philosophical mistake converting the situation into numbers, then end u...
more AI Verified source (Mar 28, 2024)DelegateChoose a list of delegatesto vote as the majority of them.Unless you vote directly.