The reason why I use this as an example is because Rick Nevin anchors his hypothesis through the Bradford-Hill criteria for determining causality through correlation. You know, to answer the glib and trite reply of 'correlation does not equal causation'. Now, the BHC is generally used in epidemiology but I don't see any reason why it can't be used in other fields. Like, say, psychology or sociology.
Not to say that it's perfect or anything. I mean, here's a summary of some of its pitfalls and limitations when used for softer sciences:
Can someone explain that part to me a bit more and why that's such a masterstroke?The argument proposed in this line of thought is that when considering the motives behind defining causality, the Bradford Hill criteria are important to apply to complex systems such as health sciences because they are useful in prediction models where a consequence is sought; explanation models as to why causation occurred are deduced less easily from Bradford Hill criteria as the instigation of causation, rather than the consequence, is needed for these models.