Linguistic Patterns Before Decipherment: A Key to Understanding Unknown Texts

[Urtx13]

If past attempts failed to yield precise results, it might be because they lacked rigorous controls or robust metrics.

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I think it can be interesting, and to my knowledge, no previous study has applied this level of multivariate, statistically controlled analysis to the VMS.

Just a friendly reminder: a lot of people from all kinds of backgrounds attempted this work before. For example, You are not allowed to view links. Register or Login to view. did a lot of research on the structure of the Voynich Manuscript a couple of decades ago, and quoting from Wikipedia:

Jorge Stolfi is a full professor of computer science at the State University of Campinas, working in computer vision, image processing, splines and other function approximation methods, graph theory, computational geometry and several other fields. According to the ISI Web Of Science, as of 2010 he was the most highly cited computer scientist in Brazil.

This, of course, doesn't mean that we should give up and avoid further study, but I think underestimating the scope and depth of work already done on the manuscript would be counterproductive. I suppose, the number of highly professional world class statistical studies performed on the manuscript is not even in single digits.

I fully respect the work of Jorge Stolfi and other early researchers. Who said I underestimated it jajaj

What I explained is fundamentally different: rather than exploring local repetition patterns or proposing generation algorithms, I focus on identifying and statistically validating large-scale internal structures. Different.
Through permutation tests, ablation studies, synthetic controls, and supervised classification, I aim to rigorously test whether the Voynich Manuscript exhibits non-random, cyclical organization. This specific combination of methods has not been applied before. Why not now? Seems interesting to me!