Correlation vs. Causation: Untangle This Claim

A claim says one thing causes another and it sounds plausible enough. This separates what the data actually shows from what is being implied, lists the confounders and reverse-causation explanations being ignored, and spells out what evidence would be needed to prove cause. Hand it any headline statistic that smells convenient.

The following claim presents a statistical relationship between two variables. Your task is to determine whether the evidence supports causation or merely correlation.

Claim: "{CLAIM}"

Work through these steps:
1. State what the data actually shows (the correlation)
2. List at least three plausible alternative explanations (confounders, reverse causation, coincidence)
3. Describe what evidence would be needed to establish genuine causation: e.g., randomised controlled trial, natural experiment, dose-response relationship
4. Give a clear final verdict: causation, correlation only, or insufficient information

Use plain language throughout, with no statistics jargon without explanation.