Yes, classical hypothesis testing is of questionable value - estimated precisely enough we will almost always reject the null hypothesis, but who cares? I think that "the chance the results are wrong" is not the most helpful way to think about research in many areas.

Of course, it is important to remind ourselves of the many types of mistakes possible in our research.