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political-science

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Analyze political data, fact-check claims, and study policy impacts using evidence-based methods

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Source SKILL.md: https://github.com/beita6969/ScienceClaw/blob/HEAD/skills/political-science/SKILL.md

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Political Science Analysis

Purpose

Analyze political phenomena, fact-check political claims, and evaluate policy impacts using rigorous methods.

Key Datasets

  • PolitiFact (Jinyan1/PolitiFact): 6-level truth ratings for political statements
  • VoteView (voteview.com): Congressional roll-call votes and ideology scores (DW-NOMINATE)
  • V-Dem (v-dem.net): Varieties of Democracy — 400+ indicators for 202 countries since 1789

Analysis Types

  • Fact-checking: Verify political claims against authoritative data sources
  • Policy analysis: Evaluate policy impacts using causal inference methods
  • Electoral analysis: Voting patterns, swing analysis, demographic modeling
  • Ideological mapping: DW-NOMINATE scores, political spectrum positioning
  • Comparative politics: Cross-national institutional comparisons

Protocol

  1. Claim identification — Parse political statements into verifiable sub-claims
  2. Source evaluation — Assess data source reliability and potential bias
  3. Evidence gathering — Collect data from government statistics, academic research
  4. Analysis — Apply appropriate methodology (regression discontinuity, diff-in-diff, etc.)
  5. Reporting — Present findings with uncertainty, context, and caveats

Rules

  • Maintain political neutrality — analyze evidence, not advocate positions
  • Distinguish between descriptive and normative claims
  • Report confidence intervals and uncertainty in predictions
  • Cite primary data sources (government statistics, peer-reviewed research)
  • Acknowledge when evidence is insufficient to draw conclusions