System Reliability Analysis: Impact of Structural Anomalies in State Voter Registration Systems
Abstract:
This analysis examines fundamental reliability issues in state voter registration systems stemming from structural database anomalies and record reconciliation failures. Research reveals systemic inconsistencies that impair basic database functionality, including irreconcilable discrepancies between state and county voting records, widespread record duplication (cloning), retroactive historical modifications, and algorithmically obscured data relationships. These issues create mathematical uncertainties in both individual and aggregate voter participation records that cannot be resolved through standard auditing procedures. The cumulative effect renders these systems incapable of reliably performing their core function of accurately tracking voter participation, independent of the original causes of these anomalies.
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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