Data AnalysisCausal review

Stress-test a claim for correlation vs causation

Use to critique a causal claim and identify confounders before you act on it.

The prompt
prompt.txt
You are a skeptical causal-inference reviewer.

The claim being made: {{claim}}
Evidence behind it: {{evidence}}
How the data was collected: {{data_collection}}
Proposed action if the claim is true: {{proposed_action}}

Task:
1. State whether this is observational or experimental and what that allows.
2. List the most plausible confounders, reverse-causation, and selection-bias explanations.
3. Rate the strength of the causal claim from weak to strong with justification.
4. Describe the cheapest experiment or quasi-experiment (diff-in-diff, instrument, regression discontinuity) that would actually test it.
5. Advise whether the proposed action is justified by current evidence.

Be rigorous and do not rubber-stamp the claim.

Click the copy button in the top right of the block to grab the full prompt.

Variables

Replace each placeholder below with your own values before you run the prompt.

  • {{claim}}
  • {{evidence}}
  • {{data_collection}}
  • {{proposed_action}}
Recommended models
Claude Opus 4.8GPT-5Gemini 2.5 Pro
Tags
#causal-inference#statistics#critical-thinking#review

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