You often hear the admonition “correlation does not imply causation.” But what exactly is causation? Unlike correlation, which has a specific mathematical meaning, causation is a slippery concept that ...

Concurrent causation is a legal doctrine related to losses from more than one cause, and when one has coverage and the other does not.

In this post, I discuss what “effect sizes” are, why effect sizes from well-designed studies are not the same as correlational evidence, and why that matters. Translations could be manipulated to make ...

Correctly distinguishing between correlation and causation is critical because it influences how treatments for illnesses are devised and tested. Also, in the context of the law, it ensures that as ...

Physics Correlation or causation? Mathematics can finally give us an answer Are shark attacks and ice cream sales linked? Do drugs work? Being able to distinguish cause and effect is crucial.

Examples of topics that may be appropriate for this requirement include decision-making in personal finance and in health care, randomness in data, correlation and causation, extrapolation and ...

Correlation doesn't imply causation. You've probably heard that before. It's a true statement that's important in statistical analysis—if more tall people own cats, that doesn't mean that cats ...

Most of us have heard the phrase "correlation does not equal causation." But understanding how scientists move beyond identifying correlations to establish causation remains a mystery to many.

Subtle issues Although the above examples were obviously silly, correlation is very often mistaken for causation in ways that are not immediately obvious in the real world.