I don’t care which way the causation goes or whether it comes from the name choice and preferences of the parents (yea, bad title), what surprised me is that ML can predict a name based on a face at all, there should be no correlation in first place.
I disagree. Age biases the statistical likelihood of a name. Features that hint in any ethnic direction. Also some visible features might bias towards urban vs rural upbringing which also would also lean names in another direction.
Oh yea, baby name trends, ethnicity, I don’t know how heterogeneous the datasets they are using are when they mention the strength of the correlation, I was imagining it would distinguish a John from a Peter, but there could be a much lower correlation in that subset.
Based on the methods, seems a stretch to say this isnt correlation alone
I don’t care which way the causation goes or whether it comes from the name choice and preferences of the parents (yea, bad title), what surprised me is that ML can predict a name based on a face at all, there should be no correlation in first place.
I disagree. Age biases the statistical likelihood of a name. Features that hint in any ethnic direction. Also some visible features might bias towards urban vs rural upbringing which also would also lean names in another direction.
Oh yea, baby name trends, ethnicity, I don’t know how heterogeneous the datasets they are using are when they mention the strength of the correlation, I was imagining it would distinguish a John from a Peter, but there could be a much lower correlation in that subset.