Switching to a newer version of an internal SDK led to unexpected increases in gaming sessions on Facebook, driven by crashes that prompted users to restart games, demonstrating the complexities and surprises inherent in experimentation. This highlights the importance of a robust experimentation culture to counteract biases and ensure valid results, emphasizing the need for a scientific approach to testing and review processes. Companies like Facebook, Spotify, and Amazon have developed sophisticated practices to run numerous parallel experiments, prioritizing speed of learning and comprehensive reviews by diverse teams to avoid confirmation bias and p-hacking. Establishing an effective experimentation culture involves active reinforcement, hypothesis-driven testing, and insightful reviews, both online and offline, to build a learning organization that can adapt and evolve from both successful and unsuccessful experiments. These practices contribute to long-term insights that shape future priorities and guardrail metrics, with examples such as Amazon's streamlined checkout processes and Facebook's friend connection strategies illustrating the value of lessons learned.