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Is this causation or just correlation?

Any claim of the form "X leads to Y" that someone wants to act on.

Longcausationstatisticsverification
Examine the causal claim below.

1. State precisely what is being claimed to cause what, and over what time frame.
2. What kind of evidence supports it: experiment, natural experiment, longitudinal observation, or cross-sectional correlation? Say which, and what that design can and cannot establish.
3. Work through the alternatives explicitly: reverse causation, a common cause driving both, selection effects in who ends up measured, survivorship in whose data we see, and plain coincidence given how many relationships were tested.
4. Is there a plausible mechanism? Describe it, or say that none is offered.
5. Verdict: causal, plausibly causal, correlation only, or unclear. Then tell me the one study design that would settle it.

The claim:

Making it yours

  • Paste your own material where the prompt asks for it. Everything above that line is instruction, not content.
  • Delete any rule that does not apply to you. A shorter prompt that fits beats a thorough one that does not.
  • If the answer comes back vague, add a line saying what you do not want. Constraints work better than encouragement.

Testing a claim. Statistics, causal stories, methodology, and tracing a repeated claim back to where it started.

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