Mathematics that makes progress towards a solution. Looking at minimum for non-noisy distributions is just not the problem at hand, heck, you could look at a f

Mathematics that makes progress towards a solution. Looking at minimum for non-noisy distributions is just not the problem at hand, heck, you could look at a few graphs and the bias is obvious. Let's say you have Group A and Group B with distributions where people have EV for the returns on a $1M investment ranging from $0 (lose all your money) to $1B (maybe it gets real thin around $10M), and investors try to invest in anybody with EV > $1M. But maybe they're biased. Oh and by the way, the only possible exits are $0 and you sell the company for $1B. An attempt to make progress towards a solution would be better off targeting this model problem. Now you're attacking the noise head on.