reproducibility crisis

According to pharmacologist Ray Dingledine, good science is hard to do because of (1) "our drive to create a coherent narrative from new data, regardless of its quality or relevance"; (2) "our inclination to seek patterns in data whether they exist or not"; and (3) our negligence to "always consider how likely a result is regardless of its P-value." The good news is that this can be fixed.
The proverbial searching for "the needle in a haystack" can help us understand science's problem with p-values, and why so many studies find contrary things.