The Book of WhyDefinitions:Concept0 followers0 questions9 posts
Do you have questions about The Book of Why?
Log in to ask questions about The Book of Why publicly or anonymously.
Given its counterintuitive (and controversial) solution, the Monty Hall problem has been debated extensively in academia and popular science. Judea Pearl revisits this paradox in The Book of Why. We now illustrate the solution with a Bayesian network in BayesiaLab.
Unless you understand all the causal and noncausal paths in your problem domain, stay away from claiming "data-driven" policy recommendations. Judea Pearl's birth-weight paradox is an all-too-common problem, which we examine with BayesiaLab.
How to block 14 noncausal paths in a causal Bayesian network? Try out the Smoking & Asthma example in BayesiaLab to see how easy it is to identify causal and noncausal paths.
"Noncausal paths are the source of confounding." If this statement is not entirely clear, you should read The Book of Why and then experiment with the book's examples, which we implemented for you in BayesiaLab. So, try out these "games" and develop an intuition for the Back-Door Criterion.