# Causal Evidence Checklist

> Bradford Hill's 9 viewpoints (1965) reframed as a checklist for product analytics. Use this skill before recommending a decision based on observational analytics data. Applies the 9 Bradford Hill viewpoints to score whether X actually caused Y, or whether the correlation is coincidental, confounded, or reversed. Use whenever interpreting a metric change the user is about to act on (rollback, ship, abandon, double-down). Refuses to label a verdict "high confidence" when fewer than ~5 of the 9 criteria pass. Pairs with analytics-diagnostic-method (which provides the hypothesis tree) and channel-and-funnel-quality (which provides the segmentation discipline). Triggers when Clamp MCP returns a comparison the user is about to act on, when a deploy correlates with a metric move, or when the user says "X caused Y" / "did X cause Y" / "should we roll back / ship / kill X" based on a chart. Vendor-neutral methodology; via Clamp MCP the per-criterion checks map directly to traffic.compare, traffic.breakdown, errors.timeline, and funnels.list.

## Facts
- Page: https://tashan.sh/capability/skill-clamp-sh-causal-evidence-checklist
- tashan id: skill:clamp-sh/causal-evidence-checklist
- Source: https://github.com/clamp-sh/analytics-skills
- Type: skill
- Category: data
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 56.0
- Freshness: 81.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: MIT
- Official: no

## Install

```sh
cp -r causal-evidence-checklist ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-09 by tashan (https://tashan.sh) from public evidence. Scorer s5.