Information Warfare in New York

Check out this Article from AmericanThinker
By Andrew Paquette

Last April, I discovered an algorithm hidden in New York’s voter rolls. The algorithm linked county voter identification (CID) and State Board of Elections identification (SBOEID) numbers in such a way that it could be used as a third ID number. This could be used to clandestinely tag and track records of interest, such as phantom voters.

Since that day in April, I have done little else for seven days a week as I studied the original algorithm and three others discovered subsequently. Last week, the peer-reviewed Journal of Information Warfare published my article about New York’s voter roll algorithms. The article was written several months ago. It represents my understanding of the algorithm at that time. Since then, my understanding of how it works and what it does has deepened. Current updates on voter roll algorithm research can be read on my substack, the Zark Files.

I have identified four algorithms in New York’s voter rolls to date. I have named them “Spiral,” “Metronome,” “Tartan,” and “Shingle” based on their characteristics. The Spiral algorithm has been solved in the sense that it can be completely reversed and its effects predicted. The Metronome is unsolved but appears to be based on a random seed for the purpose of randomizing numbers. The Tartan accomplishes a similar purpose as the Metronome but in a different way. The Shingle algorithm is closely associated with suspicious records.

The algorithms are well-hidden via the use of multiple obfuscation techniques. The first method partitions the number space in a way that cannot be reproduced using any of the fields normally available from within the database. The partitions segregate SBOEID and CID numbers based on which algorithm was used to generate the numbers. Without knowledge of the algorithms or partitions, the numbers would be mixed so that they cannot be differentiated.