I dropped everything to read @syguoML @zcccucla @Carthica @fhuszar & @bschoelkopf's paper (+the related @NeurIPSConf '23 paper), which has dramatic implications for understanding (& generalizing) the relationship between causation and probability
Discussions of causation are often imprecise regarding whether the modeled "variables" refer to the data generating mechanism that underlies the observed random variables, or the observations themselves. Sometimes this doesn't matter, since given favorable assumptions such as...
Feb 27, 2019 • 25 tweets • 5 min read
Thread: Philosophers have been obsessing over multi-path causes for over 40 years, but without @yudapearl's non-parametric #mediation techniques they have been unable to provide an account of #path-specific effects. Why not?
academic.oup.com/bjps/article/7…
First, both philosophers and social scientists have focused on linear non-additive causal models. But in these models direct and indirect effects have properties that don't generalize to other cases.
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