Correlation Does Not Equal Causation and Causes Do Not Equal Effects

By | November 5, 2013



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Correlation is the easiest method to assign causation for an event, even though it is the least valid method. Take an automobile race, for instance. The last four races were won by blue cars. Blue cars win races. That is an example of correlation driving causation. In reality, Vettel was driving the blue car. He just won the Grand Prix championship for 2013. The color of the car had nothing to do with winning the races. There are frequent correlations that do not identify the causes of events, but politics and media jump on the simplest correlations because they do not require extensive research nor complex analysis.