JayUtah
Penultimate Amazing
But, as I suggest above, the fact that I can't find anyone even talking about this issue...
Lie. I talked about it at length. There is no part of Bayes that saves you from the Texas sharpshooter fallacy. That fallacy is basic; the assignment of significance to data (E) after the data are selected. Priors -- by definition -- cannot discuss data, only hypotheses. But since you've conflated parts of your hypothesis ~H with E, you think you've figured it out.
...suggests that the issue is accounted for by the Bayesian formula.
You attempt to handle the issue in Bayes by mixing up what the parts of the model are so that you can try to sneak concepts into it where they don't belong. You err first by committing the Texas sharpshooter fallacy. You err further by conflating concepts in the Bayesian model. Those two errors do not magically cancel each other out. They're both individually fatal errors.
When you ignore vast swaths of the argument, you don't get to assume what your critics implicitly "accept" based on what posts you choose to read. By your own admission of selective reading, you cannot be an authority on what has and has not been covered in this debate. Very rude and dishonest, Jabba.