The much bigger problem is that nobody tries to repeat findings, because there is no incentive to do so. There is an asymmetry between positive and negative findings. Say I make a study that shows that X causes Y. Then someone else tries to replicate that. They find no statistically significant evidence that X causes Y. Now, in medicine this may be a result in itself, if X causes Y is a well established result. But, in many other fields, such as computer science, a negative finding is usually just because the researcher made a mistake (bug in code etc.), so you have to work really hard to prove that there is no relation between X and Y, and it is hard to publish these kinds of results unless you can somehow rigorously prove the opposite result.