| > Each experiment is not a result per se but a sample from a distribution. But what distribution? What is this "distribution" that we are taking a sample from? The frequentist says: because the two experimenters have different intentions, the experiments they ran are samples from different distributions. But the Bayesian says: the experimenter's intentions can't affect things like how dice rolls come out or how well a given treatment works on a given patient. The actual "distribution" is the set of all factors that do affect how the dice rolls come out or how well the treatment works on each patient. And those factors are the same for both experimenters; their different intentions don't affect that. So both sets of data are samples from the same distribution, not different ones. > How you infer the shape of that distribution based on the experiment is a function of the distribution of all courses your experiment could have taken. If you're going to state it this way, then the Bayesian response is: "all courses your experiment could have taken" has nothing to do with the experimenter's intentions. The experimenters can't magically make the physical world and the biology of humans work differently depending on what stopping criterion they choose. And the physical world and the biology of humans is what determines "the courses your experiment could have taken". In other words, when the frequentist makes up "distributions" based on the experimenter's stopping criterion, they are, whether they admit it (or even realize it) or not, making a claim about how the physical world and the biology of humans works that is obviously false. |