Counterexamples to "The Blessings of Multiple Causes" by Wang and Blei
Elizabeth L. Ogburn, Ilya Shpitser, Eric J. Tchetgen Tchetgen

TL;DR
This paper presents counterexamples demonstrating that the deconfounder method does not effectively control for multi-cause confounding, clarifying misconceptions in prior theoretical claims.
Contribution
It provides clear counterexamples and critiques to the claims made by Wang and Blei regarding the deconfounder's effectiveness.
Findings
Counterexamples show the deconfounder fails in certain confounding scenarios
Clarification of errors in the original deconfounder theory
Demonstrates the deconfounder does not guarantee control of multi-cause confounding
Abstract
This note has been updated (April, 2020) to respond to "Towards Clarifying the Theory of the Deconfounder" by Yixin Wang, David M. Blei (arXiv:2003.04948). This original note, posted in January, 2020, is meant to complement our previous comment on "The Blessings of Multiple Causes" by Wang and Blei (2019). We provide a more succinct and transparent explanation of the fact that the deconfounder does not control for multi-cause confounding. The argument given in Wang and Blei (2019) makes two mistakes: (1) attempting to infer independence conditional on one variable from independence conditional on a different, unrelated variable, and (2) attempting to infer joint independence from pairwise independence. We give two simple counterexamples to the deconfounder claim.
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Taxonomy
TopicsHealth Systems, Economic Evaluations, Quality of Life · Decision-Making and Behavioral Economics · Advanced Causal Inference Techniques
