Correlation

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The idea, first articulated by statistician Karl Pearson[1], that a relationship between two variables could be characterised according to its strength and expressed in numbers.

Now it is true that Correlation doesn’t imply causation, but it doesn’t rule it out either. All other things being equal, a correlation is more likely to evidence a causation than a lack of correlation, right? This is one of those logical canards, as Monty Python put it, “universal affirmatives can only be partially converted: all of Alma Cogan is dead, but only some of the class of dead people are Alma Cogan.”


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