jwdink comments on Reading Math: Pearl, Causal Bayes Nets, and Functional Causal Models - Less Wrong
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Thanks, that is helpful.
My claim was that, if we simply represent the gears example by representing the underlying (classical) physics of the system via Pearl's functional causal models, there's nothing cyclic about the system. Thus, Pearl's causal theory doesn't need to resort to the messy expensive stuff for such systems. It only needs to get messy in systems which are a) cyclic, and b) implausible to model via their physics-- for example, negative and positive feedback loops (smoking causes cancer causes despair causes smoking).