This debate is boring and old, people getting work done in ML/stats have long ago moved past it. My suggestion is to find something better to talk about: it's mostly wankery if people other than ML/stats people are talking.
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.
If it's worth saying, but not worth its own post (even in Discussion), then it goes here.
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