I like the idea, but how do you apply this to power law distribution outcomes and get any statistical significance? I don't know the answer. E.g. the underly

I like the idea, but how do you apply this to power law distribution outcomes and get any statistical significance? I don't know the answer. E.g. the underlying First Round's analysis likely has no statistical significance. Assuming the power law distribution of outcomes top 5 outcomes will account for 97% of value. So we now have a study with n=5. To make the point let's apply this to YC's own portfolio. Assuming Dropbox, AirBnb and Stripe represent 75% of its value, we'll learn that YC is incredibly biased against: * MIT graduates * brother founders * founding teams that do not have female founders * and especially males named Drew Hard to believe these conclusions are correct or actionable