Voter Registration Analyzer
Developed statistical analysis software that helps election commissions identify irregularities in voter registration data.
Overview
Clean voter rolls are essential for election integrity. This tool helps election officials and monitoring organizations audit registration databases for anomalies.
The Challenge
Voter registration databases can contain various issues - from innocent data quality problems to potential fraud indicators. Manual auditing is time-consuming and may miss subtle patterns.
The Solution
A statistical analysis toolkit that identifies:
Duplicate Detection: Finds potential duplicate registrations using fuzzy matching on names, addresses, and dates of birth.
Address Anomalies: Identifies impossible addresses, unusually high registrations at single addresses, or addresses that don't exist.
Demographic Analysis: Flags statistical outliers in age distributions, registration dates, or geographic patterns that warrant investigation.
Temporal Patterns: Detects unusual spikes in registrations or changes that might indicate coordinated activity.
Technical Approach
Built primarily in R with a Shiny interface for interactive exploration. Uses PostgreSQL for handling large datasets and integrates with geographic APIs for address validation.
Impact
The tool has been used to audit voter rolls in two jurisdictions, identifying thousands of potentially duplicate records and several hundred addresses that required investigation.
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