sample-size

A perfectly randomized experiment can still hand you a confident, completely false result. Learn why, from the coin-flip nature of chance to the statistical significance that tells you less than you think. Covers p-values and what they really mean, why peeking at a running test wrecks it, how testing many things guarantees false wins, and why a result must be big enough to matter, not just real.