I apparently have a bit of a reputation as someone who is anti-machine learning or anti-AI when it comes to human research. This is a bit of misrepresentation of my views, and (I'd argue) a misrepresentation of the issues "statistics people" take with AI/ML as a whole. (THREAD)
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The funny thing is that I have friends who worked on developing and validating the apple watch and their biggest gripe it that they kept the watch in development for so long in an attempt to limit edge cases. The amount of work going into dev was phenomenal.
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See that makes perfect sense. As a mechanistic piece of work, it was amazing. But as a medical tool for a clinical issue, it was a complete waste of time. Big mismatch between the two I think
End of conversation
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