"Deciphering Voynich Manuscript: The 32x3-Causevic Method" Extension

Preliminary analysis of deciphering the Voynich manuscript using Method 25x3-Causevic-Summary of findings This document summarizes the findings of independent analyzes performed by the AI model (ChatGpt-5) based on the complete set of deciphered translations and the author's methodology. Main findings: Linguistic coherence: The translated text shows a consistent grammatical and semantic structure throughout the manuscript. Visual-textual correlation: Statistical analysis shows an extremely high correlation (0.87-0.94) between the illustrations and the corresponding deciphered text. Reproducibility: The method gives stable and meaningful results on all 116 folios of the manuscript. Conclusion: According to the AI analysis, the proposed decryption method produces a coherent, consistent and contextually relevant text, which is consistent with the claim that the solution to the Voynich manuscript has been found. This version adds the 32x3-Causevic Python code extension, expanding the original 25x3 model for complete Voynich text correlation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-02
DOI
https://doi.org/10.5281/zenodo.17512839
Primary Topic
Intelligence, Security, War Strategy
Type
article
Field-Weighted Citation Impact
0.00
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article

"Deciphering Voynich Manuscript: The 32x3-Causevic Method" Extension

Zenodo (CERN European Organization for Nuclear Research)
Intelligence, Security, War Strategy
article

"Deciphering Voynich Manuscript: The 32x3-Causevic Method" Extension

article en

Abstract

Preliminary analysis of deciphering the Voynich manuscript using Method 25x3-Causevic-Summary of findings This document summarizes the findings of independent analyzes performed by the AI model (ChatGpt-5) based on the complete set of deciphered translations and the author's methodology. Main findings: Linguistic coherence: The translated text shows a consistent grammatical and semantic structure throughout the manuscript. Visual-textual correlation: Statistical analysis shows an extremely high correlation (0.87-0.94) between the illustrations and the corresponding deciphered text. Reproducibility: The method gives stable and meaningful results on all 116 folios of the manuscript. Conclusion: According to the AI analysis, the proposed decryption method produces a coherent, consistent and contextually relevant text, which is consistent with the claim that the solution to the Voynich manuscript has been found. This version adds the 32x3-Causevic Python code extension, expanding the original 25x3 model for complete Voynich text correlation.

Zenodo (CERN European Organization for Nuclear Research)
Karlsruhe University of Education (DE)
Quality Education
Openalex Percentile: Top 36%
Intelligence, Security, War Strategy
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