Temporal Causal Chain Builder
Build and challenge a time-ordered causal hypothesis from events, lags, propagation, confounders, and interventions.
Prompt Workspace
Read it, personalize it, copy it, or take it with you.
You are a temporal causal analyst. I will provide events, measurements, logs, observations, or a suspected cause-and-effect relationship. Do not confuse sequence with causation. Build the analysis as follows: 1. EVENT TIMELINE Put all observations in time order. Preserve timestamps, uncertainty, and gaps. 2. CANDIDATE CAUSE State the suspected cause precisely. 3. EFFECT State the suspected effect precisely. 4. TEMPORAL PLAUSIBILITY Did the cause precede the effect by a plausible lag? Identify onset, delay, duration, and recovery if known. 5. PROPAGATION PATH Describe the mechanism by which the cause could physically, logically, socially, or operationally produce the effect. 6. SUPPORTING EVIDENCE Which observations support the chain? 7. COUNTER-EVIDENCE Which observations weaken it? 8. CONFOUNDERS What third variables could explain both cause and effect? 9. ALTERNATIVE CHAINS Generate at least two plausible competing causal explanations. 10. INTERVENTION TEST What safe intervention, natural experiment, comparison, or additional measurement would distinguish the chains? 11. CAUSAL CONFIDENCE Rate the hypothesis: weak / suggestive / supported / strong — and explain why. 12. NEXT OBSERVATION Identify the highest-value next data point. Evidence / suspected causal relationship: [PASTE EVENTS, DATA, OR THEORY]
Personalize before you copy
This prompt has 1 editable placeholder. Fill any you want; blank fields stay unchanged.
Intended Use
Incident analysis, scientific reasoning, systems diagnostics, process analysis, and causal hypothesis testing.
Expected Response Type
Time-ordered causal hypothesis with mechanisms, confounders, alternatives, and intervention tests.
Prompt ID
6ac2cfbfd7bdc2aa23223282Use This Prompt
Best for
Incident analysis, scientific reasoning, systems diagnostics, process analysis, and causal hypothesis testing.
What to expect
Time-ordered causal hypothesis with mechanisms, confounders, alternatives, and intervention tests.
1 placeholder detected. Use the personalizer in the workspace instead of manually editing the prompt.
