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While it's probably justified to correct for the sampling bias in prevalence statistics, it's worth pointing out that sexual partners are not sampled uniformly: the prevalence of a given STD will potentially be higher in the population of likely partners than in the general population.
That's a good point, and probably applies to Mark Manson's guide too. It's similar to the well-known point that your friends are probably more popular than you are, because popular people have more friends.
and of course this is another case of 'just because you hired the top 1% of the CVs you got, doesn't mean that those you hired are in the top 1% of programmers'. Less good programmers are more often looking for a job.
Is there a name for this pattern?
Adverse selection.