What's this? Another confounded tree? 10/10 and a very merry Multistage Simpson's Paradox Machine* from all of us here at WeRateDAGs! *Pearl, J. (2014) 'Comment: Understanding Simpson’s Paradox' The American Statistician, 68(1):8-13
WeRateDAGs
@weratedags.com
We rate DAGs. (If you were hoping for dogs, try here: @weratedogs.com)
A trampoline DAG, as seen by someone who hasn't quite got the flipping-over part down. 12/10 because this is one of those cases when a fully connected graph is good, actually.
Today we have a mediated moderated suspension bridge, designed in the 90s and finally open. That mediator outcome arrow reinforcement probably increases future tensile strength but it's still a 2/10 because we can't encourage arrow-on-arrow crime.
Continuing our drive to rate the classics, here are two maximally LA-coded suburban DAGs from Judea Pearl. There's thirsty lawns and sprinklers, burglars and earthquakes, and neighbors who call you if your alarm goes off. 9/10 because there's no mention of the traffic.
We love a good 'association as as fluid' metaphor, but this guy takes it to the next level. 12/10 for the reminder that conditioning on a collider doesn't just mess with your identification; it can also flood your basement.
Ruben C. Arslan@ruben.the100.ci · 9mo agoI built a DAG diagram with garden hoses for teaching. Pictured: a collider bias diagram, inspired by a blocked pipe situation I experienced (which I credit with giving me the intuition though it also ruined my belongings in the flooded cellar).
Om nom 9/10 for this Neapolitan-style DAG, packed with new arrows and new toppings. We couldn't manage more than one though.
We don't mind a little unfaithfulness as long as the Causal Markov Condition holds. Conditionally independent children need some stability.
Jenny Holzer@jennyholzer.bsky.social · 10mo agoFAITHFULNESS IS A SOCIAL NOT A BIOLOGICAL LAW
We don't know if these two DAGs are up to divine mediation problems like identifying the Father's Supernatural Direct Effect or Nicene Indirect Effect, but the Church is in the business of cross-world assumptions, so we're sure it will work out. 10/10 for whichever one is theologically correct 🤞
Dr Jo Kershaw@mthrjo.bsky.social · 10mo agoI have found an EXCELLENT meme for the church history lecture on Wednesday (which includes the Great Schism)
Today, three adorable missing data DAGs. O* is missing when Rₒ masks it and O otherwise. Now, can we d-separate Rₒ and O? 12/10 Ten for the graphs, plus two for casually flipping "causal inference is a missing data problem" From Mohan & Pearl (2021) "Graphical Models for Processing Missing Data"
Conditioning on a match indicator S can generate collider bias exactly cancelling a confounding path and identifying the effect of Z on X. Here it is in a very good DAG. 9/10 because of the functional form specificity. From Steiner et al. (2017) "Graphical Models for Quasi-experimental Designs"
A very aerodynamic DAG here from Jens, induced from polling data, linearity assumptions and weed. We're not sure that was a good idea, but there is a pub node, so we'll say 4/10
Jens von Bergmann@jensvb.bsky.social · last yr.That’s a lot of copium. Also kind of interesting what is being passed off here as causal analysis…
We couldn't not rate this classic early DAG by our beloved collective granddagy, Sewall Wright. 14/10. Ten for the DAG, plus one for each cute guinea-pig node. From Wright (1920) "The Relative Importance of Heredity and Environment in Determining the Piebald Pattern of Guinea-Pigs"
@weratedags.com Saw this one *years* ago, but it's lived in my mind rent-free ever since. Hi-res: assets.publishing.service.gov.uk/government/u...
People sometimes ask why we want to rate DAGs. Couldn't we just rate statistical models instead? We like to explain it with capybaras and bicycles.
More DAG ratings here to lighten your hearts and provide that warm feeling of d-connectedness.
Per Engzell@pengzell.bsky.social · 10mo agoA bold DAG. Chaotic good energy. Might collapse under its own causal density. 13/10 would condition again.
A palate cleanser: 'The causal structure of banana'. Robust, simply structured, and convenient. 8/10. The DAG is nice too. This is the first of three bananadags in Hitchcock (2016) "Conditioning, intervening, and decision".
Hello Bluesky! We rate DAGs. Some are great. Some are... not so great. But we rate them all. Let's start with a famous powerpoint hairball a.k.a. "the Afghanisdag", presented to Gen. Stanley A. McChrystal around 2010. His own rating? 1/10 "When we understand that slide, we'll have won the war"
