"Deciphering Voynich Manuscript: The 25x3-Causevic Method"
Year: 2025
Type: article
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.
Author: Causevic, Zakir
Language: English
Subfield: Literature and Literary Theory
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7103751211
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