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Understanding readme (negation)
(i.e. there is no unobserved variable not included in X, W that simultaneously has an effect on both T and Y)
All unobserved variables that have an effect on both T and Y are included in X, W, is that the meaning?
Yes, that's basically right, except that terminology-wise if it's in X or W it must have been observed (since it's recorded in the data set). In other words, the unobserved things by definition are not in X or W, and it's okay there are some such unobserved things that affect only T and/or some of them that affect only Y, but the method is not guaranteed to produce unbiased results if there are unobserved things that simultaneously affect both T and Y.