There are some issues with the arguments contained in that post, which I discussed here: https://news.ycombinator.com/item?id=12630980 https://news.ycombinator.

There are some issues with the arguments contained in that post, which I discussed here: https://news.ycombinator.com/item?id=12630980 https://news.ycombinator.com/item?id=12630980 Bias correction is possible, but, tautologically, a model whose structure cannot capture a bias cannot correct for that bias. This means that a modeller must either understand the bias, and accommodate for it in their model, or use a model that might be able to capture unknown structures and run the (serious) risk of over-fitting that model.