Not having a good grasp on the set of all hypotheses does not distinguish bayesians from frequentists and does not seem to me to motivate any difference in their methodologies.
Added: I don’t think it has much to do with the original comment, but testing a model without specific competition is called “model checking.” It is a common frequentist complaint that bayesians don’t do it. I don’t think that this is an accurate complaint, but it is true that it is easier to fit it into a frequentist framework than a bayesian framework.
I have said nothing about the differences between bayesians and frequentists. I just pointed out some issues with trying to estimate P(hypothesis | data).
Not having a good grasp on the set of all hypotheses does not distinguish bayesians from frequentists and does not seem to me to motivate any difference in their methodologies.
Added: I don’t think it has much to do with the original comment, but testing a model without specific competition is called “model checking.” It is a common frequentist complaint that bayesians don’t do it. I don’t think that this is an accurate complaint, but it is true that it is easier to fit it into a frequentist framework than a bayesian framework.
I have said nothing about the differences between bayesians and frequentists. I just pointed out some issues with trying to estimate P(hypothesis | data).