My idea was less about statistical practice than about very simple toy models illustrating some general points (in particular, if you write down your priors beforehand and use likelihood ratios, you can do as many comparisons as you like, without any ‘adjustments’; the reason multiple comparisons are suspect in practice has to do with human biases and the circumstances under which scientists will engage in this sort of data mining). I’ve since read a paper that makes pretty much the same theoretical points, although it overstates their practical significance.
My idea was less about statistical practice than about very simple toy models illustrating some general points (in particular, if you write down your priors beforehand and use likelihood ratios, you can do as many comparisons as you like, without any ‘adjustments’; the reason multiple comparisons are suspect in practice has to do with human biases and the circumstances under which scientists will engage in this sort of data mining). I’ve since read a paper that makes pretty much the same theoretical points, although it overstates their practical significance.