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A comment on Causal inference as a blind spot of data scientists. Parent comment

Re:Causal inference as a blind spot of data scientists by kjkjadksj on Sunday October 15, 2023 @01:06PM (#37891470)
You don’t need to look at a graph at all though, right? There are plenty of tests that can help you identify factors that could be significantly affecting your distribution
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Re:Causal inference as a blind spot of data scientists by bigfudge on Sunday October 15, 2023 @01:54PM (#37891840)
If you want to make causal inferences you really do have to look at a graph that includes both observed and probable unobserved causes to get any real sense of what’s going on. Automated methods absent real thinking about the data generating process are junk.
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Re:Causal inference as a blind spot of data scientists by esafak on Sunday October 15, 2023 @02:50PM (#37892296)
You can only select among features that you have measured.
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Re:Causal inference as a blind spot of data scientists by muraiki on Sunday October 15, 2023 @05:31PM (#37893564)
“Graph” here means the directed acyclic graph encoding the causal relationships, not a chart of a distribution.
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