Everything about causal inference in 40 pages 

  Judea Pearl  describes his new article  Causal inference in statistics: An Overview  as "a recent submission to Statistics Survey which condenses everything I know about causality in only 40 pages."  That seemed like a bold claim, but after reading it I'm sold.  I don't come from Pearl's "camp" per se, but I found this a really impressive overview of his approach to causation.  His overtures to folks like me who use the potential outcomes framework were much appreciated, although it is clear throughout that there is still intense debate on some of the issues.  The bottom line: if you've ever wondered what the structural equation modeling approach to causal inference is all about, this is your one-stop, must-read introduction (and an insightful, engaging, and thorough one at that).