domains / families / science / what-if-oracle

what-if-oracle

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Supports structured what-if scenario analysis for research planning, experimental contingencies, and scientific project decisions. Explores favorable, reference, adverse, wild-card, contrarian, and second-order scenarios with explicit assumptions, evidence, and decision triggers. Use to stress-test a research plan under uncertainty; scenario narratives do not estimate causal effects or calibrated forecast probabilities.

When to use

• What if sample attrition is higher than planned?
• What if a method fails to transfer to a new instrument, cohort, or site?
• What if a key reagent, dataset, or measurement becomes unavailable?
• Which research option remains feasible under competing hypotheses or resource constraints?

When not to use

• estimate causal effects
• calibrated forecast probabilities
• general business advice
• personal advice
• software architecture
• intervention effect
• power calculation
• numerical simulation

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