Correlation does not imply causation – If you don’t understand this STOP quoting “Statistical Evidence” to PROVE your point!

correlation

“Just because there are gifts under the tree Christmas morning doesn’t mean Santa is REAL.” Alan D. Quilley

Correlation does not imply causation is a phrase in science and statistics that emphasizes that a correlation between two variables does not necessarily imply that one causes the other.[1][2] Many statistical tests calculate correlation between variables. A few go further and calculate the likelihood of a true causal relationship; examples are the Granger causality test and convergent cross mapping.

The counter assumption, that correlation proves causation, is considered a questionable cause logical fallacy in that two events occurring together are taken to have a cause-and-effect relationship. This fallacy is also known as cum hoc ergo propter hoc, Latin for “with this, therefore because of this”, and “false cause”. A similar fallacy, that an event that follows another was necessarily a consequence of the first event, is sometimes described as post hoc ergo propter hoc (Latin for “after this, therefore because of this”).

http://en.wikipedia.org/wiki/Correlation_does_not_imply_causation

 

 

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3 comments on “Correlation does not imply causation – If you don’t understand this STOP quoting “Statistical Evidence” to PROVE your point!

  1. PhilR says:

    Quite right !

    An example I quote – obviously eating ice-cream prevents colds as there is a stong (negative) correlation between monthly consumption of ice-cream and cases of thecommon cold.

  2. Rusko says:

    Back when there were more pirates, we didn’t have global warming. So if we all start talking like pirates, we can solve the climate change problem.

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