Use when search or investigation could run forever. Set an explicit good-enough threshold first, then stop at the first option that clears it.
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When a change has effects past the immediate fix—incentives, scale, feedback—trace consequence chains with timing and probability before committing.
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Do not stop at the intended first effect. Trace what happens next across actors, time, and feedback until the chain stops changing the decision.
Stop when further "and then what?" no longer changes the decision, or the remaining chain is pure speculation without mechanism.
decision: <action>
first_order: <intended immediate effect>
chain:
- order: 2
effect: <what>
actors: <who>
p: high|med|low
when: immediate|next_cycle|at_scale
feedback: none|reinforce|balance
- order: 3
...
scale_if_universal: <one sentence or n/a>
revised_decision: <same | modified action | no-go>
mitigations: <guards for kept risks>
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Use when search or investigation could run forever. Set an explicit good-enough threshold first, then stop at the first option that clears it.
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Use when a specific claim may lack grounding. Check evidence boundary, size wrongness cost, then answer, fetch, or abstain — never confabulate.
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When the right response mode is unclear, classify the cause-effect domain first; decompose disorder.
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Under genuine uncertainty with no reliable forecast, inventory means, cap downside at affordable loss, act for commitments, and let goals emerge from controllable moves.
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When a constraint is treated as fixed, separate physics from convention, keep only independently supported primitives, and rebuild the simplest solution that satisfies real constraints.
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When a fault is localized and the proximate cause is known but the systemic root is not, chain evidence-linked whys with a counterfactual stop and a countermeasure.
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