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If you hang out on Meta Stack Overflow, you may have noticed news from time to time about A/B tests of various features here at Stack Overflow. We use A/B testing to compare a new version to a baseline for a design, a machine learning model, or practically any feature of what we do here at Stack Overflow; these tests are part of our decision-making process. Which version of a button, predictive model, or ad is better? We don’t have to guess blindly, but instead we can use tests as part of our decision-making toolkit.