The text humorously explores decision-making in road rage incidents using Bayesian statistics to determine whether a driver who behaves poorly is likely a bad driver or simply made a mistake. It equates this decision-making process to statistical experimentation, highlighting concepts such as Type 1 and Type 2 errors, and the use of Bayes’ theorem to update prior beliefs based on new evidence. The discussion extends into the realm of A/B testing, emphasizing the importance of understanding success rates, significance levels, and power levels to accurately interpret experimental results and avoid false positives or negatives. The narrative also touches on experimentation culture and infrastructure, with a nod to companies like Statsig striving to balance ease of use in experimentation tools with the ability to deeply understand the results.