Does causality imply correlation

Does causality imply correlation

Correlation does not imply causation. so maybe you think you know what this phrase means.The quick answer is, no.Causation means that a change in one variable causes a change in another variable.Forthcoming in the international journal of observeration, knowledge and evidence, vol.It's also possible that y caused x or that some third variable (z) caused both x and y.

You might remember this simple mantra from your statistics class:However, seeing two variables moving together does not necessarily mean we know whether one variable causes the other to occur.But in order for a to be a cause of b they must be associated in some way.Causation indicates that one event is the result of the occurrence of the other event;Data scientists are aware of the caveat that 'correlation does not imply causation.' this month alone, medium has recommended 20+ posts containing this catchphrase.

Okay, correlation does not imply causation.Causation implies high mutual information.Correlation measures the strength of the linear relationship between two random variables.The high correlation may mean that either one factor causes the other, the factors jointly cause each other, the factors are caused by a separate third factor or even that the correlation is as a.

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