variance reduction

Anyone can say 'ensemble of trees'. The real answer concerns decorrelating those trees and why that, not averaging alone, is what drops variance. Here is what makes the forest more than the sum of its trees.

CUPED can halve the sample size an A/B test requires without touching validity. The signal is explaining why subtracting a pre-experiment covariate reduces variance yet never biases the estimate. Here is the answer.