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metric-gaslighting-detector

Find out how a dashboard, KPI report, or metrics slide is lying to you — before you repeat its story in a bigger room. Use when numbers feel too tidy, a narrative rests on one chart, or you inherited metrics you didn't define. Produces a deception audit: every metric graded for the eleven classic distortions (denominator games, survivorship, y-axis crimes, cherry-picked windows…), the story the data would tell under honest framing, and the three questions to ask the metric's owner.

skills/metric-gaslighting-detector/SKILL.md

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# Metric Gaslighting Detector

Dashboards rarely contain false numbers. They contain true numbers arranged to create false beliefs. This skill audits the *arrangement* — the eleven standard distortions through which honest data becomes dishonest narrative.

## Required Inputs

- **The metrics artifact** — the dashboard description, KPI table, chart, or the numbers with their labels exactly as presented. Include axis ranges, time windows, and any annotations; the lie usually lives there.
- **The claim being made with it** (if any) — "churn is under control", "the launch worked". The audit tests the *claim-data* connection, not the data alone.

## The Eleven Distortions

1. **Denominator games** — the base changed ("of active users" quietly became "of weekly active")
2. **Survivorship framing** — measuring only what remained (retention of cohorts that didn't churn early)
3. **Y-axis crimes** — truncated baselines, dual axes, log scales without labels
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