I was hoping you had an answer to this question. My partial explanation – instruction in NP and Fisher’s procedures are taught without understanding them in a Bayesian context.
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The counternull 1, the HR that has the same p -value as the null (i.e. HR = 1) is roughly 1.17.
For those interested, the ‘counternull’ paper is also worth reading, and is open access via the link as I write this. I think this is a complement to Matthew’s Bayesian Analysis of Credibility, discussed in this thread: