The part about deduction from the Morey et al. paper:
GS describe model testing as being outside the scope of Bayesian confirmation theory, and we agree. This should not be seen as a failure of Bayesian confirmation theory, but rather as an admission that Bayesian confirmation theory cannot describe all aspects of the data analysis cycle. It would be widely agreed that the initial generation of models is outside Bayesian confirmation theory; it should then be no surprise that subsequent generation of models is also outside its scope.
Who has been claiming that Bayesian confirmation theory is a tool for generating models?
(It can kinda-sorta be used that way if you have a separate process that generates all possible models, hence the popularity of Solomonoff induction around here. But that's computationally intractable.)
If it's worth saying, but not worth its own post (even in Discussion), then it goes here.
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