Excellent. I have a general concern that some working with ML don't appreciate the experience and technology that statisticians have developed to deal with bia

Excellent. I have a general concern that some working with ML don't appreciate the experience and technology that statisticians have developed to deal with bias, which I think is the biggest problem in the field. I tweeted "ML is v impressive, but has no automated way to ensure no bias. Statistical modelling can't match ML for parameter dimensions, but it can make explicit what is going on with the parameters you have and the assumptions you have. But advantages of theft over honest toil..." - some of the responses in the thread are interesting. My original tweet: https://twitter.com/txtpf/status/1102437933301272577 https://twitter.com/txtpf/status/1102437933301272577 Bob Watkins' tweet: https://twitter.com/bobwatkins/status/1102568735485972480 https://twitter.com/bobwatkins/status/1102568735485972480