Math Says Yes
Glossary term

Independence

Two events are independent when knowing one happened tells you nothing about whether the other did.

Visual intuition

Not independent: the drift means one value carries news about the other
Each dot pairs two measurements, and here they drift upward together — knowing one tells you where the other tends to sit. That is dependence. Independent quantities would leave this cloud shapeless, with no drift for a trend line to find.

Formula

P(A and B) = P(A) x P(B)

Example

Two dice are independent: rolling a 6 first does not change the second die's 1-in-6 , so double sixes happen 1/6 x 1/6 = 1/36 of the time.

How It Works

A coin that just landed heads five times is still 50/50 on the next flip: the flips are independent, and betting otherwise is the gambler's fallacy. Formally, independence means the of both events together is the product of their separate probabilities — knowing one happened leaves the other's chances untouched. Dependence is the opposite, and it has a visible signature: plot pairs of measurements, and any drift or pattern means one value carries news about the other. Real data breaks independence constantly — survey answers from the same household, repeated measurements of the same patient — and treating dependent data as independent makes evidence look stronger than it is.