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| − | ====Correlation <math>\neq</math> Causation====
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| − | Even if you find the strongest of correlations, you should never interpret it as more than just that... a correlation.
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| − | Causation indicates a relationship between two events where one event is affected by the other. In statistics, when the value of one variable, increases or decreases as a result of the value of another variable, it is said that there is causation.
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| − | Let's say you have a job and get paid a certain rate per hour. The more hours you work, the more income you will earn, right? This means there is a relationship between the two events and also that a change in one event (hours worked) causes a change in the other (income). This is causation! https://study.com/academy/lesson/causation-in-statistics-definition-examples.html
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| − | Given any two correlated events A and B, the following options are possible:
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| − | * A causes B
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| − | * B causes A
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| − | * A and B are both the product of a common underlying event, but do not cause each other
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| − | * Any relationship between A and B is simply the result of coincidence (pure chance)
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| − | '''Some examples: Causality or coincidence?'''
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| − | <div style="text-align: center;">
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| − | <pdf width="2000" height="600">File:Correlation_examples-Causality_vs_coincidence.pdf</pdf>
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| − | [[File:Correlation_examples-Causality_vs_coincidence.pdf]]
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| − | </div>
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