[lake_vincent]

I also don't like when it's framed as an "either-or" dichotomy.

It's like a programming language - there is no "best" one in general, you just have to learn how to choose the best tool for the job at hand, understanding each tool's strengths and weaknesses. It's not that mysterious.

[RosanaAnaDana]

it may not be a personally acceptable, but there is a real world divide where a large subset of people pretty much only accept frequentism. This is often the same group publishing under powered, low n, studies.

The biggest issue with frequentism is the assumptions. I can't rattle them off like I used to be able to, but almost every real world scenario where statistics are useful are going to violate some of them, and yet frequentists will simply carry on.

It's really a cultural issue around 'correctness', and frequentism is often reduced to an appeal to authority.