Bayesian analysis concludes that SARS-CoV-2 is not a natural zoonosis
zenodo.org
zenodo.org
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Disclaimer: I didn't read much of the analysis you linked. I'm not a virologist, but I do have a PhD in Bayesian Statistics. As a general rule, I don't take this kind of analysis via repeated repeated repeated repeated repeated repeated repeated application of Bayes' Rule with somewhat-to-completely arbitrary probabilities at each step very seriously. At all.
It's a kind of gish gallop [3] with additional window dressing purporting to wrap it all up into one easy number. From a probabilistic point of view it ignores any dependency between observed facts, which is a serious issue but not necessarily the most damning one.
This particular case is even worse than usual. According to a quick Ctrl-F-aided skim of the document, the author doesn't identify a single fact that increases the probability of zoonotic origin, which is extremely suspicious. If every single available fact in a complicated issue points to the same conclusion that's probably because you are messing with your facts, not because that's how things actually are.
After noticing the one-sided-ness of the Bayesian updates I rolled my eyes and closed the tab.
[1] https://news.ycombinator.com/item?id=25965751
So it boils down to "if our guesses about some underlying probabilities are correct, this would be the answer". I see this a lot in financial analyses too, where some sophisticated analysis is done but it's just on top of guesses. It's not really accurate to say it "concludes beyond a reasonable doubt" - they have an argument, maybe a valid and supported one, buy the "bayesian analysis" is just smoke and mirrors on top of their initial assertions.
If someone has a different view of what the Baysian analysis adds, I'd be interested to understand.
This is just Hacker News-level commentary passing for science.