Stats and correlations can still be useful. Quantum mechanics is a great example: we can use it to make the most accurate predictions in the history of the wor

Stats and correlations can still be useful. Quantum mechanics is a great example: we can use it to make the most accurate predictions in the history of the world yet most physicists would agree we have no clue as to the mechanism. As I see it, the ecosystem around research journals is mostly to blame. Throughout history scientists recorded both surprising and unsurprising experimental results. Both were treated as important. Now we basically discard and forget experiments / work that is not 'novel'. The bias introduced by doing this is what makes those p-values questionable. Furthermore, for some it seems that the goal has become publication rather than the search for truth.