But really, what the study looked at is correlation. So the whole point of this is to understand the difference between causality and correlation, because they're saying very different things. Causality versus correlation. And as I said, causality says A causes B. Well, correlation just says A and B tend to be observed at the same time. Whenever I see B happening, it looks like A is happening at the same time. Whenever A is happening, it looks like it also tends to happen with B.