| I have reflected on a good definition of causality and would be curious if anyone has thoughts or critiques of it. I am repasting part of my essay below. (https://alexpetralia.com/2023/02/25/statistics-only-gives-co...) -- Can we nevertheless extract causality from correlation? I would argue that, theoretically, we cannot. Practically speaking, however, we frequently settle for “very, very convincing correlations” as indicative of causation. A correlation may be persuasively described as causation if three conditions are met: Completeness: The association itself (R²) is 100%. When we observe X, we always observe Y. No bias: The association between X and Y is not affected by a third, omitted variable, Z. Temporality: X temporally precedes Y. |
The problem comes when we try to do so practically, because reality is full of surprising detail.
> No bias: The association between X and Y is not affected by a third, omitted variable, Z.
This is, practically speaking, the difficult condition. I'm not so convinced the others are necessary (practically speaking, anyway) but you should read Pearl if you're into this!