It is probably a good heuristic but you are assuming the shape of the distribution and still then it could go wrong. For example let's say that there is a latent variable that measures the degree of femaleness that was uniformly distributed over trans and that your likelihood of clocking them decreases monotonically towards high femaleness then, depending on your clocking function, you could get the same picture of a sparser distribution towards high femaleness without it being so.
It is probably a good heuristic but you are assuming the shape of the distribution and still then it could go wrong. For example let's say that there is a latent variable that measures the degree of femaleness that was uniformly distributed over trans and that your likelihood of clocking them decreases monotonically towards high femaleness then, depending on your clocking function, you could get the same picture of a sparser distribution towards high femaleness without it being so.
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