There is a relation between them, but not a strong one, I agree. The more conclusions you can draw from a data set, the more will be wrong. A possible reason, hinted at in the article, is underestimating the noise. It's one of the things that went bad in psych studies, but also in genetics (in a lecture some 10 years ago, a statistician explained how results in genetics would be reproducible only at 5 sigma or higher).