What is it when it is ML/stats people who are talking? For example, it's a frequent theme at the blogs of Andrew Gelman and Deborah Mayo, and anyone teaching statistics has to deal with the issues.
I teach statistics and I don't deal with the debate very much. Have you read the exchange started by Robins/Wasserman's missing data example here:
https://normaldeviate.wordpress.com/2012/08/28/robins-and-wasserman-respond-to-a-nobel-prize-winner/
What do you make of it? It is an argument against certain kinds of "Bayesian universality" people talk about (but it's not really the type of argument folks here have). Here they have a specific technical point to make.
If it's worth saying, but not worth its own post (even in Discussion), then it goes here.
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