Unlocking the Voynich Cipher via the New Algorithmic Coding Hypothesis

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Published: 2025-09-04
DOI: https://doi.org/10.5281/zenodo.17054312
Keywords:
Voynich Manuscript, Cryptography, Data Compression, LZ77, Huffman Coding, Computational Linguistics, Algorithmic Decryption, Entropy Analysis

Main Article Content

Jaba Tkemaladze
Longevity Clinic
https://orcid.org/0000-0001-8651-7243

Abstract

The Voynich Manuscript (VM) remains one of history's most perplexing cryptographic and linguistic puzzles (Landini & Foti, 2020). This paper introduces a novel hypothesis: that the VM's text is not a direct encoding of a natural language but represents a compressed data stream utilizing principles analogous to modern LZ77 compression and Huffman coding (Huffman, 1952; Ziv & Lempel, 1977). We propose that the manuscript's unusual statistical properties, including its low redundancy and specific word structure, are artifacts of a sophisticated encoding process rather than features of an unknown language (Montemurro & Zanette, 2013; Reddy & Knight, 2011). To evaluate this, we developed a computational framework that treats VM transliterations as a encoded bitstream. This framework systematically tests decompression parameters, using Shannon entropy as a primary fitness metric to identify outputs resembling natural language (Shannon, 1948; Cover & Thomas, 2006). While a complete decipherment is not yet achieved, this methodology provides a new, rigorous, and reproducible computational approach to VM analysis, moving beyond traditional linguistic correlation (Hauer & Kondrak, 2011). The framework's architecture and initial proof-of-concept results are presented, outlining a clear pathway for future research with a fully digitized VM corpus.

Article Details

Issue

Vol. 1 No. 3 (2025)

Section

Opinion and Commentary
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Articles published in Longevity Horizon fall under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). This means authors retain their copyright while granting the journal the right to be the first publisher. Readers are permitted to share and distribute the work as long as proper credit is given. However, the content may not be altered, modified, or used for commercial purposes.

Author Biography

Jaba Tkemaladze, Longevity Clinic

Professor, Scientist, President of Longevity Alliance Georgia.

HOD at Longevity Clinic Inc.

Replacing old adult stem cells with induced and safe young adult stem cells.

World-renowned scientist. Developed the Centriolar theory of differentiation and the Centriolar theory of organism ageing. With acquired experience in both academia and industry.

Training in medicine at Tbilisi State Medical University and then at the Psychiatry Research Institute further deepened my knowledge in the laboratory of the Institute of Morphology. Namely, combined experimental and computational methods to study the ageing process and the various ways of manipulating age-related diseases and improvement of human health.

Also served as a Scientific Advisory Board Member in Georgia's Ministry of Defense and Longevity Alliance. Published over 100 scientific articles, given over 100 invited talks and received several awards.

How to Cite

Tkemaladze, J. (2025). Unlocking the Voynich Cipher via the New Algorithmic Coding Hypothesis. Longevity Horizon, 1(3). DOI:https://doi.org/10.5281/zenodo.17054312
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