Power, minimal detectable effect, and bucket size estimation in A/B tests Bucket size estimation for A/B experiments In previous posts, we discussed how to detect potentially biased experiments, and explored the implications of using multiple control groups. This post describes how Twitter’s A/B testing framework, DDG, addresses one of the most common questions we hear from experimenters, product