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
Frequently asked questions
What is the statistical-analysis-correlation-is-not-causation skill?
statistical-analysis-correlation-is-not-causation is a Claude Skill by vamseeachanta. Skills package instructions and resources that Claude loads on demand, so Claude can perform statistical-analysis-correlation-is-not-causation-related tasks without extra prompting.
How do I install statistical-analysis-correlation-is-not-causation?
Use the install commands on this page: add statistical-analysis-correlation-is-not-causation to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does statistical-analysis-correlation-is-not-causation belong to?
statistical-analysis-correlation-is-not-causation is in the data-analytics category, tagged general.
Is statistical-analysis-correlation-is-not-causation free to use?
Yes. statistical-analysis-correlation-is-not-causation is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
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