{"id":2428,"date":"2022-05-17T17:06:02","date_gmt":"2022-05-17T17:06:02","guid":{"rendered":"http:\/\/causality.cs.ucla.edu\/blog\/?p=2428"},"modified":"2022-05-17T20:11:37","modified_gmt":"2022-05-17T20:11:37","slug":"what-statisticians-mean-by-causal-inference-is-gelmans-blog-representative","status":"publish","type":"post","link":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/2022\/05\/17\/what-statisticians-mean-by-causal-inference-is-gelmans-blog-representative\/","title":{"rendered":"What statisticians mean by\u00a0&#8216;Causal Inference&#8217;: Is Gelman&#8217;s blog representative?"},"content":{"rendered":"\n<p>Andrew Gelman posted a new blog on Causal Inference <a href=\"https:\/\/statmodeling.stat.columbia.edu\/2022\/05\/14\/causal-is-what-we-say-when-we-dont-know-what-were-doing\/#comment-2053584\">https:\/\/statmodeling.stat.columbia.edu\/2022\/05\/14\/causal-is-what-we-say-when-we-dont-know-what-were-doing\/#comment-2053584 <\/a>which I have found to be not only strange, but wrong. Among the statements that I find objectionable is the title: &#8220;Causal&#8221; is like &#8220;error term&#8221;: it&#8217;s what we say when we&#8217;re not trying to model the process.<\/p>\n<p>I have posted a couple of comments there, expressing my bewilderment, and summarized them in the following statement:<\/p>\n<p>Andrew,<br \/>Re-reading your post, I pause at every line that mentions &#8220;causal inference&#8221; and I say to myself: This is not my &#8220;causal inference,&#8221; and if Andrew is right that this is what statisticians mean by &#8220;causal inference,&#8221; then there are two non intersecting kinds of &#8220;causal inference&#8221; in the world, one used by statisticians and one by people in my culture whom, for lack of better words, I call &#8220;Causal Inference Folks.&#8221;<\/p>\n<p>I cannot go over every line, but here is a glaring one: &#8220;causal inference is all about the aggregation of individual effects into average effects, and if you have a direct model for individual effects, then you just fit it directly.&#8221;<\/p>\n<p>Not in my culture. I actually go from average effects to individual effects. See <a href=\"https:\/\/ucla.in\/3aZx2eQ\">https:\/\/ucla.in\/3aZx2eQ<\/a> and\u00a0<a href=\"https:\/\/ucla.in\/33HSkNI\">https:\/\/ucla.in\/33HSkNI<\/a>. Moreover, I have never seen &#8220;a direct model for individual effects&#8221; unless it is an SCM. Is that what you had in mind? If so, how does it differ from a &#8220;mechanistic model.&#8221; What would I be missing if I use SCM and never mention &#8220;mechanistic models&#8221;?<\/p>\n<p>Bottom line, your post reinforces my explicit distinction between &#8220;statisticians&#8221; and &#8220;causal inference folks&#8221; to the point where I can hardly see an overlap. To make it concrete, let me ask a quantitative question: How many &#8220;statisticians&#8221; do you know who subscribe to the First Law of Causal Inference <a href=\"https:\/\/ucla.in\/2QXpkYD\">https:\/\/ucla.in\/2QXpkYD<\/a>, or to the Ladder of Causation\u00a0<a href=\"https:\/\/ucla.in\/2URVLZW\">https:\/\/ucla.in\/2URVLZW<\/a>, or to the backdoor criterion or etc? These are foundational notions that we &#8220;causal inference folks&#8221; consider to be the DNA of our culture, without which we are back in pre-1990 era.<\/p>\n<p>For us, &#8220;Causal&#8221; is not like &#8220;error term&#8221;: it&#8217;s what we say when we ARE trying to model the process.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Andrew Gelman posted a new blog on Causal Inference https:\/\/statmodeling.stat.columbia.edu\/2022\/05\/14\/causal-is-what-we-say-when-we-dont-know-what-were-doing\/#comment-2053584 which I have found to be not only strange, but wrong. Among the statements that I find objectionable is the title: &#8220;Causal&#8221; is like &#8220;error term&#8221;: it&#8217;s what we say when we&#8217;re not trying to model the process. I have posted a couple of comments [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[64,73,74,37],"tags":[],"class_list":["post-2428","post","type-post","status-publish","format-standard","hentry","category-causal-models","category-gelman","category-statistical-causality","category-structural-equations"],"_links":{"self":[{"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/posts\/2428","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/comments?post=2428"}],"version-history":[{"count":6,"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/posts\/2428\/revisions"}],"predecessor-version":[{"id":2438,"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/posts\/2428\/revisions\/2438"}],"wp:attachment":[{"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/media?parent=2428"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/categories?post=2428"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/tags?post=2428"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}