A robust Bayesian look at Covid origins
michaelweissman.substack.com
A robust Bayesian look at Covid origins
1–6 of 6 posts
Re: A robust Bayesian look at Covid origins
#2Nothing wrong with a Bayesian approach to summing over your weights, but the weights are still subjective, no?
Re: A robust Bayesian look at Covid origins
#3"Robust" please. It's "I assign arbitrary weight to papers based on mood and vibe, and discount views I don't like about wet market vs lab leak" Nothing wrong with a Bayesian approach to summing over your weights, but the weights are still subjective, no?
Can you give a solid example of the “mood and vibe” methodology in the analysis?
Re: A robust Bayesian look at Covid origins
#4"Robust" please. It's "I assign arbitrary weight to papers based on mood and vibe, and discount views I don't like about wet market vs lab leak" Nothing wrong with a Bayesian approach to summing over your weights, but the weights are still subjective, no?
> based on mood and vibe Can you give a solid example of the “mood and vibe” methodology in the analysis?
At this point it’s necessary to recognize that not only the prior odds P0(LL)/P0(ZW) but also the likelihoods involve some subjective estimates. In order to obtain a convincing answer we need to include some range of plausible values for each likelihood ratio
Your judgement of likelihood? Your range of estimates is informed by what exactly?
Re: A robust Bayesian look at Covid origins
#5Earlier quoted context omitted.
> based on mood and vibe Can you give a solid example of the “mood and vibe” methodology in the analysis?
Explain why and how you assign weight to the furin cleavage site. At this point it’s necessary to recognize that not only the prior odds P0(LL)/P0(ZW) but also the likelihoods involve some subjective estimates. In order to obtain a convincing answer we need to include some range of plausible values for each likelihood ratio Your judgement of likelihood? Your range of estimates is informed by what exactly?
I really don’t know what more the writer needs to do, if this thorough and scientific analysis is characterized as “mood and vibe”.
Re: A robust Bayesian look at Covid origins
#6Earlier quoted context omitted.
Explain why and how you assign weight to the furin cleavage site. At this point it’s necessary to recognize that not only the prior odds P0(LL)/P0(ZW) but also the likelihoods involve some subjective estimates. In order to obtain a convincing answer we need to include some range of plausible values for each likelihood ratio Your judgement of likelihood? Your range of estimates is informed by what exactly?
There are ten long and very detailed technical paragraphs in the article itself, and even an appendix with even more detailed methodology to explain this exact question. I really don’t know what more the writer needs to do, if this thorough and scientific analysis is characterized as “mood and vibe”.
I suggest you put it into peer review in an AMS recognised statistics journal.