You're missing the crucial distinction between describing and explaining. A correlation is a description, and descriptions aren't science. Only by proposing an explanation, then testing it, do we enter the domain of science. We also have the chance to turn a correlation into something more than a coincidence.
If you want to separately discuss the former, I don't have a strong opinion about it any which way. We do need to document correlations somewhere, because 1) they are a useful starting point when looking for causal relationships, and 2) we might be able to make use of them before we understand why they work. We do need some quality controls to ensure that we are finding correlations that really exist, and I don't see a problem with using the infrastructure around "properly" scientific experiment to this end, but if you propose we move it somewhere else or simply call it something else I don't see any big problems with that.
> REALLY?
Yes -- really. It is very misleading.
> What do you WANT them to say?
Replace "predicts" with "is correlated with." That's the meaning of the work being described -- a correlation between A and B has been observed. But this doesn't mean that A predicts B, or A causes B, or even that B causes A. Both may result from some unevaluated cause C.
Science is not description, it is explanation. The linked article describes, and then draws a conclusion that goes far beyond the description. But it never presumes to explain why the author's conclusion might be so.
> "A predicts B" does NOT AT ALL imply "A causes B"
It certainly does. Rain predicts puddles. Puddles do not predict rain, they follow from it.