Earlier quoted context omitted.
Statistics are meaningless without a rigorously examined causal model of the phenomenon under investigation. In my experience of statistics education, the art of crafting causal theories was scarcely addressed.
I don't get this attitude, if things are correlated, it should at least make a scientist wonder why. It certainly could be random chance, but correlation can also lead to establishing a causal model or discovering a third variable. If two things keep happening in conjunction, it at least merits further investigation. It seems like there's this extreme reaction against people behaving like correlation equals causation…
There's billions of possible variables. There's N^2 possible pairs of variables. It's not feasible to look at every pair that is correlated.