Algorithm Analysis

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.

Published In

Volume 24, Issue 3

Written By

Andrew Paquette

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.

Keywords

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APT

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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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