16-04-2026, 12:53 AM
Dear Voynich Manuscript Researchers,
My name is Keishi Oi, an independent researcher based in Japan. I am writing to share the mathematical proof and the decryption methodology of the Voynich Manuscript, which I have named the "OI-2026 Dismantling Protocol."
Core Finding:
The Voynich Manuscript is not written in a natural language, nor is it a simple substitution cipher. Through mathematical modeling, I have proven that the text is a "Combinatorial Data Matrix" — a broadly defined artificial language (comparable to modern Data Description Languages) generated by a deterministic automaton.
Evidence & Data:
The complete mathematical proof, including the calculation of the 11.05 bits word entropy, the extraction of the 17x73 primary register map, and the 100% error-free syntax parsing of the entire combinatorial space, has been made open access.
You can download the full paper (PDF) and the dataset via Zenodo here:
You are not allowed to view links. Register or Login to view.
(Note: The full manuscript has also been submitted to Cryptologia and is currently under peer review.)
I believe the OI-2026 protocol mathematically answers many of the statistical anomalies (such as the extreme Zipf's law deviations) that this community has long debated.
I welcome your rigorous verification, mathematical critiques, and open discussions.
Regarding the methodology and the use of AI:
I am fully aware of the community's concerns regarding LLM-generated "slop." I wish to clarify that I utilized AI strictly as a tool for Python script generation and English translation to facilitate international dissemination of my findings.
Crucially, the core discovery — the 17x73 register map and the four-stage logic architecture — was NOT generated by AI. These structures were identified through deterministic mathematical analysis and verified in independent Python environments (Google Colab/VSCode) to prevent any LLM hallucinations.
Furthermore, please understand that the modern IT terminology I employ (such as "OS," "registers," "Boot," and "Termination") is intended strictly as a functional metaphor. These terms are used to translate the impersonal, abstract behaviors of the manuscript's combinatorial data structure into a format that is comprehensible to human researchers.
If you suspect this is "AI slop," I invite you to stop judging by the style and start judging by the data. The methodology is fully disclosed, and the dataset is public. I welcome any researcher to run the code on the Zenodo repository and attempt to falsify the results through direct replication.
Best regards,
Keishi Oi
Independent Researcher
My name is Keishi Oi, an independent researcher based in Japan. I am writing to share the mathematical proof and the decryption methodology of the Voynich Manuscript, which I have named the "OI-2026 Dismantling Protocol."
Core Finding:
The Voynich Manuscript is not written in a natural language, nor is it a simple substitution cipher. Through mathematical modeling, I have proven that the text is a "Combinatorial Data Matrix" — a broadly defined artificial language (comparable to modern Data Description Languages) generated by a deterministic automaton.
Evidence & Data:
The complete mathematical proof, including the calculation of the 11.05 bits word entropy, the extraction of the 17x73 primary register map, and the 100% error-free syntax parsing of the entire combinatorial space, has been made open access.
You can download the full paper (PDF) and the dataset via Zenodo here:
You are not allowed to view links. Register or Login to view.
(Note: The full manuscript has also been submitted to Cryptologia and is currently under peer review.)
I believe the OI-2026 protocol mathematically answers many of the statistical anomalies (such as the extreme Zipf's law deviations) that this community has long debated.
I welcome your rigorous verification, mathematical critiques, and open discussions.
Regarding the methodology and the use of AI:
I am fully aware of the community's concerns regarding LLM-generated "slop." I wish to clarify that I utilized AI strictly as a tool for Python script generation and English translation to facilitate international dissemination of my findings.
Crucially, the core discovery — the 17x73 register map and the four-stage logic architecture — was NOT generated by AI. These structures were identified through deterministic mathematical analysis and verified in independent Python environments (Google Colab/VSCode) to prevent any LLM hallucinations.
Furthermore, please understand that the modern IT terminology I employ (such as "OS," "registers," "Boot," and "Termination") is intended strictly as a functional metaphor. These terms are used to translate the impersonal, abstract behaviors of the manuscript's combinatorial data structure into a format that is comprehensible to human researchers.
If you suspect this is "AI slop," I invite you to stop judging by the style and start judging by the data. The methodology is fully disclosed, and the dataset is public. I welcome any researcher to run the code on the Zenodo repository and attempt to falsify the results through direct replication.
Best regards,
Keishi Oi
Independent Researcher