GrowthBook

Many "winning" A/B tests aren't actually wins. They're results that cross a threshold without being properly validated. On July 16, Ron Kohavi and Luke Sonnet break down what separates a trustworthy experiment result from a false positive, and why so many teams ship decisions based on misleading data. A few ideas they'll get into: ➡️ Statistical significance alone isn't enough ➡️ Sample ratio mismatch can quietly invalidate a result ➡️ Underpowered tests create false confidence If your team runs experiments to guide product direction, you won’t want to miss this session. Register: https://buff.ly/HnZetws