Which academic disciplines care about causality? (I'm guessing statistics, CS, philosophy... anything else?)
Is there anything like a mainstream agreement on how to model/establish causality? E.g. does more or less everyone agree that Pearl's book, which I haven't read, is the right approach? If not, is it possible to list the main competing approaches? Does there exist a reasonably neutral high-level summary of the field?
Which academic disciplines care about causality? (I'm guessing statistics, CS, philosophy... anything else?)
On some level any empirical science cares, because the empirical sciences all care about cause-effect relationships. In practice, the 'penetration rate' is path-dependent (that is, depends on the history of the field, personalities involved, etc.)
To add to your list, there are people in public health (epidemiology, biostatistics), social science, psychology, political science, economics/econometrics, computational bio/omics that care quite a bit. ...
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