A group of from University of California in Los Angeles, including the popular author of books on Bayesian networks (sometimes referred to as belief networks or as graphical models, as they aren’t Bayesian in the Bayesian statistics sense) and causality Judea Pearl, have set up a new blog on causality. Their approach to causality is based on probability theory with random variables and operators. For a taste of it, see “Causality is undefinable” or “The meaning of counterfactuals”.

While it takes the form of a blog, the system is more like a help line. The good stuff is often in the comments.