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The article seemed so confused about what it wanted to say: my impression was that the data didn’t fit the author’s pre-existing bias, so the article was written in a way that implied something that wasn’t backed by the data at all.
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”.
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?
As usual, motor-loving Swedes just want some good international PR, while driving their beloved cars as usual.