In social science, the metric correlation is widely misunderstood; a correlation of 0.5 is not halfway between zero and one because the effect size non-linearly scales with payoff; further, correlation is sub-additive in absolute terms, meaning you cannot sum correlations across subsamples to get the population correlation.