Interactive Paradoxes

Hidden Structures in Chaos

Investigating statistical laws that govern seemingly random or chaotic datasets.

Simpson's Paradox

Simpson’s Paradox happens when a trend appears in several separate groups but reverses or disappears when the groups are combined. This usually happens because a hidden factor changes the relative sizes or makeup of the groups, making the overall average misleading.

Below are two groups of students, each showing a positive relationship between study hours and test scores: more studying means better scores within each group. But watch what happens when the two groups are combined into one: the overall trend reverses. None of the underlying data changes, only how it's grouped. Drag the slider slowly from left to right to watch the story unfold.

Separate groups Group trends Combined Reversed trend

This scenario is a standard textbook way of demonstrating Simpson's Paradox with made-up data. The same reversal shows up in real studies too. For example, in a 1986 British Medical Journal comparison of kidney stone treatments, Treatment A outperformed Treatment B on both small stones (93% vs. 87% success) and large stones (73% vs. 69% success), yet Treatment B appeared to win overall (83% vs. 78%) once the case mix was ignored. Further reading: Simpson's Paradox on Wikipedia.