How to tell correlation from causation - "The basic intuition behind the method demonstrated by Prof. Joris Mooij of the University of Amsterdam and his co-authors is surprisingly simple: if one event influences another, then the random noise in the causing event will be reflected in the affected event."
galton.org is an exhaustive website devoted to the life and works of the statistical pioneer and "father of eugenics" Francis Galton, inventor of the scatterplot, the correlation coefficient, fingerprint identification, and who knows what else. Almost all of Galton's books and papers are reproduced here, some in scanned form and some in searchable .pdf, from his major books to his letters to Pigeon Fancier's Journal. A short selection after the fold. [more inside]
Trials and Errors. Jonah Lehrer's latest piece in Wired is a sort of sequel to his earlier article in the New Yorker on the decline effect (previously). Where that article focused on the institutional factors interfering with the accumulation of truth, this one focuses on the philosophical issues of causation and correlation in modern science. [Via]
Correlation or Causation? Statistics are easy: All you need are two graphs and a leading question.
Redskins lose. An interesting example of the logical fallacy known as Coincidental Correlation, for the last 71 years the Washington Redskins' last home game before Election Day has correlated with the success of the incumbent president. Boy, it's a good thing in sports no one believes in silly statistics...