One of the biggest mistakes people make when hearing statistics is to confuse
correlation with
causation. Statistically speaking, correlation is a mathematical calculation of the agreement between sets of data. Causation is, well, the thing or things that causes there to be a relationship.
A famous, though tongue-in-cheek example which has been used for decades to illustrate the difference between the two is the comparison of stork population to human live births shown below. In this instance, there is a 62% correlation between the number of stork breeding pairs and the human birthrate. I would argue there is no chance that the number of storks is the cause of the birth rate.
The media is so quick to throw out numbers with no context. Elements of this context that need to be understood before interpreting the data are the sampling method, the statistical method, the hypothesis that the researcher was attempting to prove, etc.
Be wary whenever anyone makes a statistical claim. As someone famously said, "There are lies, damned lies, and statistics."
View attachment 139370