How We Compare Candidates

Our algorithm ensures a fair and transparent comparison process using public policy data and nonpartisan analysis.

The 4-Step Comparison Process

1

Data Collection

We scan official statements, campaign materials, and public speeches from each candidate's website and government databases.

2

Policy Analysis

Our AI identifies key policy positions in 8 core categories with machine learning trained on official policy documents.

3

Alignment Calculation

We use vector similarity algorithms to measure alignment between candidates across all policy categories.

4

Result Visualization

Interactive dashboards and percentage bars show policy alignment with confidence indicators.

Process powered by nonpartisan AI trained on 10+ years of U.S. political data

Technical Details

Data Sources

  • • Federal Election Commission filings
  • • State-level candidate declarations
  • • Legislated bill co-sponsorships
  • • Public debate transcripts

Algorithm Transparency

  • • Open-source code repository available
  • • No political donations accepted
  • • Annual third-party audit cycle
  • • Bias correction via public feedback

Frequently Asked Questions

Our automated system polls official sources every 24 hours to ensure up-to-date comparisons. Major events trigger immediate reanalysis.

98.2% Confidence

Our algorithm has a proven accuracy rate of 98.2% in independent audits since 2023. This includes 500+ policy analysis case studies.

Accuracy verified by 3rd party auditors