A bored law student, Tyler Vigen, wrote a program that scrapes the web for datasets with meaningless correlations just to show how prevalent they are. The number of murders by steam or hot objects, for example, correlates highly with the age of the reigning Miss America. And the divorce rate in Maine closely tracks national consumption of margarine.
