Spurious Correlations finds the hidden, totally pointless connections between everything
Mo Data stashed this in Analysis Tips and Tricks
Spurious Correlations is the virtual embodiment of a useful rhetorical cudgel: correlation does not equal causation. Sift through its data sets, and you'll find all sorts of statistics that can be mapped onto each other — margarine consumption and the divorce rate, crude oil imports and number of train collision deaths, bee colony growth and the marriage rate. If you ever need to demonstrate that two things can appear connected purely by chance or some entirely separate factor, this is your site. If you need "news of the weird" fodder and are willing to play fast and loose with the facts, the charts are still technically accurate.
Stashed in: Correlation is not causation.
that's awesome - love that