statistical-analysis-correlation-is-not-causation
About
This skill helps developers correctly interpret statistical correlations by highlighting common pitfalls like reverse causation and confounding variables. It provides guidelines for distinguishing between observed relationships and causal claims, and addresses the multiple comparisons problem in hypothesis testing. Use it when analyzing data to avoid making unsupported causal inferences from correlated metrics.
Quick Install
Claude Code
Recommendednpx skills add vamseeachanta/workspace-hub -a claude-code/plugin add https://github.com/vamseeachanta/workspace-hubgit clone https://github.com/vamseeachanta/workspace-hub.git ~/.claude/skills/statistical-analysis-correlation-is-not-causationCopy and paste this command in Claude Code to install this skill
GitHub Repository
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