MMP.15:12 - Relations

• C.28 supplies the causal-use question and the distinction between identification, estimation and realizability. C.28.MR supplies intervention semantics and calculations within a specified causal model. C.28.CM constructs missing causal relations and material alternatives before their identifying implications are assessed.
• C.16.IR supplies compatible-case and sufficient-target reasoning; this pattern constructs the causal identification expressions and ambiguity witnesses.
• MMP.7 supplies the observation law, including selection and missingness. MMP.11 supplies an explicit model family when its restrictions are needed.
• MMP.12 handles inverse ambiguity and justified regularization. A restriction used here remains an added causal or response assumption, not new evidence.
• MMP.13 constructs inference for the identified expression or explicitly assumption-dependent target. MMP.14 investigates failed model predictions; observational checks alone need not distinguish observationally equivalent causal models.
• MMP.19 constructs and bounds history-conditioned, joint and nested counterfactual comparisons; an intervention mean can remain sufficient for a choice based on expected outcome.
• MMP.16 addresses a chosen need for additional observation design. C.11.DUA governs whether that work is worthwhile.
• Computational Thinking, including CMP.8/CMP.9 where their numerical methods apply, obtains numerical values without supplying the missing causal argument. Subject methods justify and realize the intervention and the asserted invariances.