Analysis of Wisconsin Voter Rolls Reveals Evidence of Exploited Systemic Vulnerabilities
Abstract:
This analysis investigates whether Wisconsin’s voter registration database exhibits structural vulnerabilities or evidence of exploitation. Findings reveal three significant deviations from standard practice: systematic duplication of voter identifiers affecting over 874,000 records; mathematically precise interlaced ID patterns with statistically impossible distributions; and dual ID systems where one functions as a hidden identifier. Documentation shows these vulnerabilities have been exploited, with 141 confirmed cases of duplicate voting in the analysed subset. These characteristics suggest deliberate implementation rather than accidental error, enabling covert record classification and compromised election integrity consistent with non-kinetic information warfare methods.
AUTHORS
Independent Researcher
New York, New York, USA
Dr. Andrew Paquette is a researcher specializing in the identification and description of voter ID number assignment algorithms in state voter roll databases. With a background in digital visual analysis from the computer graphics industry, including work at Epic Games, Universal Studios, and Sony, Paquette applies pattern recognition techniques developed during his career in animation and art direction to identify anomalies in electoral data systems. He holds a PhD from King's College London and previously co-founded the International Game Architecture and Design Academy at NHTV (now Breda University of Applied Sciences), where he taught from 2006 to 2018. His current research contributes to understanding the structure and implementation of algorithmic systems in election infrastructure.
Published In
Journal of Information Warfare
The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.
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