dondelelcaro

That didn’t work out so well.

Bonus points if your static site sends a 503 with a retry after header.

Figuring out the Parkinson’s linkage is challenging too, because glyphosate is just one of many chemicals used in agricultural settings. It wouldn’t be surprising for the correlation to be caused by another chemical with strong evidence of casual linkage to Parkinson’s that itself is correlated with glyphosate, like Parquat. (Since Parquat is a herbicide, places that used it may also use (or have switched to) glyphosate.) Totally worth continued scientific study.

Usually that’s just for their version. Arxiv the version before it was accepted.

Exactly.

The general approach is to use interpretable models where you can understand how the model works and what features it uses to discriminate, but that doesn’t work for all ML approaches (and even when it does our understanding is incomplete.)

Maybe not the hardest, but still challenging. Unknown biases in training data are a challenge in any experimental design. Opaque ML frequently makes them more challenging to discover.