In previous posts, we discussed how A/B testing helps us innovate, how DDG, our A/B testing framework, is implemented, and a technique for detecting bucketing imbalance. In this post, we explore and dismiss the idea of using a second control to reduce false positives. The trouble with probabilities A/B testing is a methodology fundamentally built on a framework of statistics and probability; as su