@ash not making this explicit and instead calling the model broken "sexist/racist/ageist/etc." prevents us from discussing the scope, shape and goal of the correction - and also unjustly criticizes competence of data scientists behind it, as such corrections are policy issues.
WRT. your point about incompetence - I'm not trained as a data scientist, but know enough maths to spot some forms of bullshit, and I see lots of them in companies. So extrapolating from that (I see the irony), I agree & am saddened.