02-09-2026, 12:51 AM
Despite my misgivings about the possibility of AI-generated text, the underlying findings strike me as plausible enough. The finding of word-length autocorrelation was noted in Bowern and Gaskell's 2022 conference work, and in my paper last year (IIRC in Supplementary Material 1), I noted the low frequency of word reduplication within Naibbe ciphertext relative to the VMS.
At bottom, the big statistical limitation of the original Naibbe cipher is that each draw of a word (when encrypting standalone letters) or of a prefix/suffix (when encrypting letter pairs) is memoryless and independent. This was a known limitation from the beginning; I reported the absence of long-range correlations in Naibbe ciphertext for a reason. To get the VMS's long-range correlations and other observed features, there has to be some kind of memory at play when generating Voynichese tokens.
At bottom, the big statistical limitation of the original Naibbe cipher is that each draw of a word (when encrypting standalone letters) or of a prefix/suffix (when encrypting letter pairs) is memoryless and independent. This was a known limitation from the beginning; I reported the absence of long-range correlations in Naibbe ciphertext for a reason. To get the VMS's long-range correlations and other observed features, there has to be some kind of memory at play when generating Voynichese tokens.


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