PSD.5:4.4 - Reconcile overlaps without forcing one model

For each overlap that matters, compare the subject and configuration, population, time horizon, units, definitions, assumptions, and evidence dependencies. Establish whether the models concern the same object or different related objects before treating them as views of one thing. For example, a travel-expense model and a repair-performance model can concern different work commonly called a business trip; matching that label does not equate their completion conditions. State an actual correspondence only as far as the objects and meanings support it. If “service failure” means lost pumping capacity in one model and inability to reach a refuge in another, keep the meanings distinct and ask whether a further relation can be established.

Classify a consequential mismatch before repairing it: different questions, different assumptions, incompatible meanings, contradicted evidence, or a genuine unresolved conflict. Correct a unit or input error locally. Retain alternative assumptions when their truth is not known. When the conflict can reverse the receiving result, compare an obtainable direct investigation with retaining the qualified alternatives or narrower answer through C.11.DUA. Use A.15.9 for a selected outside-practice contribution, including its whole acquisition burden.

Do not average unlike outputs, infer a shared probability from scenario counts, or count models drawing on one dataset as independent confirmation. A combined explanation may show how models inform one another without claiming that they form one unified model.