We have very incomplete information about the universe. We can't pinpoint whether something is a cause happening first, or, in effect, happening after. But we are not laplace's demon. And so what i argued in my a talk in berkeley, is that you can actually use this fact in the context of d causal networks. This is a way of thinking about cause and effect relationships that is very, very popular in both computer science o artificial intelligence right now,. but also all over the social sciences.

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