And yet, the entire freaking point of p-value testing is to maintain a pretense that Popperianism makes sense. Validating a hypothesis? While my simple minded f

And yet, the entire freaking point of p-value testing is to maintain a pretense that Popperianism makes sense. Validating a hypothesis? While my simple minded fellow, that would be anathema! Don't you know that Popper explained that you can only refute hypotheses! So we'll refute the null hypothesis instead. That's a great way to put it, I like it a lot. How do you want to validate your hypothesis then? I admit that it's quite a thorny issue for me. I like Box's quote "All models are wrong, but some are useful" --- I assume that if I poke at my model long enough, I'll always be able to falsify it eventually (eg. show that the error term isn't Gaussian). Nevertheless, a model can still embody enough truth to be useful in a given context.