Concentration of measures is a niche in statistical probability theory, most notable for deriving concentration inequalities. I'm still trying to grasp its underlying motivation and premise compared to traditional statistics.
If concentration inequalities correspond to non-asymptotic probability theory, what do anti-concentration inequalities correspond to?