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Your definition of data is too narrow. The result of any experiment is just data. All the human brain has to work with is just data. Either there is enough i
by CuriouslyC 8y ago
Your definition of data is too narrow. The result of any experiment is just data. All the human brain has to work with is just data. Either there is enough information to distinguish correlation from causation analytically, or humans are actually incapable of distinguishing the two. That doesn't mean current analytic techniques are advanced enough to do it, just that it is possible for machines if it is possible for man.
- joe_the_user 8y agoEither there is enough information to distinguish correlation from causation analytically, or humans are actually incapable of distinguishing the two. Well, what I'd like to know is how you distinguish correlation from causation with any amount of data. What definition, in terms of data, do you use? Note, probabilistic and algorithmic theories of causation have a long history and many problems, see: https://plato.stanford.edu/entries/causation-probabilistic/ https://plato.stanford.edu/entries/causation-probabilistic/