(squeezing eyes shut and focusing my psychic powers) This college I've never heard of will turn out to have tiny enrollment, and the entire effect size will be selection bias + random noise. >Olin College, a small engineering school in Needham, MA, which graduates around 75 students per year, turns out an alumni population where 2.77% of alumni found a successfully venture-backed startup, more than five times the rat…
Actually, it's not selection bias at all! This result wasn't just drawn out of a 1000-count small college hat, so naive Bayesian priors shouldn't be used here. As an alum, I specifically went to Olin because I thought it would best help me become a successful entrepreneur. Many people do. So my priors are that Olin is likely to do this at a higher rate (since Stanford / MIT etc. have entire swathes of the school not…
From the link:
>In other words, what we might have perceived as a difference in education quality was really the product of systematic differences in how the considered populations were put together. The groups we considered had a hidden non-random distribution. This is selection bias.
As you just stated, entrepreneur-y students self-select into Olin. The fact the school produces entrepreneurs doesn't have anything to do with the teachers, the curriculum, or the chemicals Olin puts in the drinking water. It's the non-random distribution of students.