Out sick the pustules were when this concept was taught:
Where does the phrase association is not causation come from?
Bard
The phrase "association is not causation" is a common adage in statistics and epidemiology. It means that just because two things are associated with each other, it does not mean that one causes the other. For example, there is an association between ice cream sales and drownings, but this does not mean that ice cream causes drownings. In fact, the real cause of drownings is hot weather, which leads to more people swimming and more ice cream sales.
The phrase "association is not causation" is often attributed to the 19th century English statistician Francis Galton, but it is likely that he did not coin it. The earliest known use of the phrase is in a 1924 paper by the American statistician W. Edwards Deming.
The phrase is important because it reminds us that correlation does not equal causation. Just because two things are associated does not mean that one causes the other. There could be other factors at play that are causing the association.
It is important to be aware of the phrase "association is not causation" when interpreting data. If we see an association between two variables, we should not jump to the conclusion that one causes the other. We need to do more research to rule out other possible explanations for the association.
Here are some examples of associations that are not causation:
There is an association between ice cream sales and drownings.
There is an association between education level and income.
There is an association between smoking and lung cancer.
In each of these cases, there could be other factors at play that are causing the association. For example, the association between ice cream sales and drownings could be caused by hot weather. The association between education level and income could be caused by family background or social class. The association between smoking and lung cancer could be caused by genetics or other factors.
It is important to do more research to rule out other possible explanations for an association before concluding that one variable causes the other.
Sources
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