[le0n]

I don't think machine learning vs Bayes vs sampling theory has much to do with the content of the article, which is more about causality than interpretations of probability.

> it's far more likely that coffee causes cancer if it can accurately predict it, even when you control for all other variables

I don't know about this: prediction is not equivalent to explanation in general. The "all the other variables" bit is also a bit of a kicker (what counts as "all"?) -- hence randomization, and, well, pretty much everything else the article discusses.