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pacmann.io © 2022 – Pacmann AI 41 Causal Diagram
pacmann.io © 2022 – Pacmann AI 42 Model ● Causal diagram is graphical causal model that is our idea of what we think the process is that generated the data ● It help us carefully reason through design elements around further causal inference method Honolulu walking study from The Book of Why: The New Science of Cause and Effect.
pacmann.io © 2022 – Pacmann AI 43 Causal Diagram Example ● Effects of walking on mortality among nonsmoking retired men ● Age acts as a common factor that correlate to both walking ability and mortality rates. ○ Younger men might be more inclined to do a vigorous workout ○ Younger men would be less likely to die ● Walking are assumed to have an effect on mortality Honolulu walking study from The Book of Why: The New Science of Cause and Effect.
pacmann.io © 2022 – Pacmann AI 44 Assumptions ● Causal diagram should be based as much as possible on real-world knowledge and prior research. ● But since we can’t possibly know everything about every part of the data generating process, it also contains a lot of assumptions. Honolulu walking study from The Book of Why: The New Science of Cause and Effect.

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