Dear friends in causality research, ------------------------------------- This Winter greeting from UCLA Causality blog contains: A. News items concerning causality research, B. New postings, new problems and some solutions. http://www.mii.ucla.edu/causality/. -------------------------------- A1. Reminder: The 2015 ASA "Causality in Statistics Education Award" has an early submission deadline this year -- February 15, 2015. For details of purpose and selection criteria, see http://www.amstat.org/education/causalityprize/
A2. Vol. 3 Issue 1 of the Journal of Causal Inference (JCI) is scheduled to appear in March 2015. The Table of content will be posted on our blog. For previous issues see http://www.degruyter.com/view/j/jci.2014.2.issue-2/issue-files/jci.2014.2.issue-2.xml As always, submissions are welcome on all aspects of causal analysis, especially those deemed heretical. A3. How others view "statistical control", ------------------------------------------ Last month, columnist Ezra Klein wrote a post about the use and abuse of statistical "controls" (or "adjustments"), especially in studies concerning racial or gender discrimination. http://www.vox.com/2014/12/1/7311417/race-law-controls His bottom line:"sometimes, you can control for too much. Sometimes you end up controlling for the thing you're trying to measure." Matthew Martin, writing in http://www.separatinghyperplanes.com/2014/12/no-you-cant-control-for-that.html echos Klein's concern and adds to it two other flaws of improper control: confounding and selection bias. His bottom line: "be suspicious whenever a paper says "controlling for ____". There is a good chance you can't actually control for that." I am posting these two articles to stimulate discussion on whether we have done enough to educate the general public, as well as the scientific community on what modern causal analysis has to say about "statistical control". B. New postings, new problems and some solutions. B1. Flowers of the First Law of Causal Inference ------------------------------ Our discussion with Guido Imbens on why some economists are avoiding graphs at all cost (oct 27 posting) has moved on to another question: "Why some economists refuse to benefit from the First Law" (Nov. 29 posting). I am convinced that this refusal reflects resistance to accept the fact that structural models constitute the scientific basis for potential outcomes; it goes contrary to conventional teachings in some circles. But resistance aside, past postings on this blog lay before readers two miracles of the first law, which I labeled "Flowers". The first tells us how to see counterfactuals in the causal graph (Dec. 22nd posting); the second clarifies non-trivial questions concerned with conditioning on post-treatment variables. (Jan 22nd posting). B2. Causality in Logical Setting -------------------- In the past 15 years, most causality research at UCLA has focused on causal reasoning in statistical setting, attempting to infer causal parameters from statistical data. It was refreshing for me to receive a new paper from Bochman and Lifschitz on "Causality in a Logical Setting" https://mail.cs.ucla.edu/service/home/~/Pearll2.pdf?auth=3Dco&loc=3Den_US&id=3D415187&part=3D2=20 The paper reminded me of a whole body of work that has been going on in the logic-based community, where the task is to communicate causal knowledge and reason with it common-sensibly, from beliefs to interventions to counterfactuals. Worth our undivided attention. B3. At the request of many, I am posting a copy of the Epilogue of Causality (2000,2009) which, so far was available only as a public lecture. http://bayes.cs.ucla.edu/BOOK-2K/causality2-epilogue.pdf I am amazed to realize that there are very few things I would change in this text today, almost 20 years after the lecture was written (1996). Still, if you spot a gap, or a need for additional stories, quotes, anecdotes, ideas or personalities, please share. B4. Dont miss previous postings on this blog and the steady flow of new results from here: http://bayes.cs.ucla.edu/csl_papers.html Some are really neat! Enjoy, Judea _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
