Data Science, Statistics, Analytics, Experiment, Causality.
pseudo-population that better represents the true population. It corrects for selection bias. We take weighted averages using 1/propensity as the weights, where propensity is defined as the probability of being selected into that group. In this case, if the user is subscribed, then their propensity