8 min read
Correlation vs causation in product analytics
Correlation vs causation for product teams: confounders, reverse causality, selection bias, and how to test causality with experiments.
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8 min read
Mean vs median: when the average lies about your users
Mean vs median for product metrics: why averages mislead on revenue, session length and other skewed data, and how to choose the right one.
8 min read
P-value meaning: what a p-value tells you in an A/B test
P-value explained in plain words: the p-value meaning in an A/B test, what p < 0.05 says about statistical significance, and what it doesn't.