Branson's rule

Branson's rule is a principle in statistics and data analysis that suggests when multiple statistical tests are performed simultaneously, the likelihood of obtaining at least one false positive (incorrectly finding a significant result) increases. To address this, adjustments are made—such as lowering the threshold for significance—to maintain the overall accuracy of conclusions. In simple terms, if you test many things at once, you're more likely to find something that appears significant just by chance. Branson's rule helps us control for this, ensuring that the overall results remain reliable and not just random discoveries.