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Run · Voynich Manuscript

T38 grid: page clustering against how long the scribe stays on one table

So the page-clustering failure of M-T36 is not fatal to the Naibbe family: a scribe who stays on one table for a stretch writes the same plaintext words the same way within it, and vocabulary clusters by page. The clustering this gives comes from the table choice, not from the topic.

Partly supported: keeping a table for about 10 to 20 draws (p 0.90 to 0.95) gives every section its page clustering, which the published per-unit draw cannotmanuscript: stars B 38.7, biological B 17.2, herbal A 15.2, text B 14.1, herbal B 6.3, pharmaceutical A 6.0. Naibbe per unit (published) -0.7 to 2.2; keep table p = 0.90: 3.4 to 13.5; p = 0.95: 6.8 to 28.3; p = 0.99: 39 to 94; one table per page: 87 to 2650

Result

RunMeasuredResultAgainstDecisionDate
RunBurst z (topical clustering of the 200 commonest words over pages, no page order used)manuscript: stars B 38.7, biological B 17.2, herbal A 15.2, text B 14.1, herbal B 6.3, pharmaceutical A 6.0. Naibbe per unit (published) -0.7 to 2.2; keep table p = 0.90: 3.4 to 13.5; p = 0.95: 6.8 to 28.3; p = 0.99: 39 to 94; one table per page: 87 to 265Plain Latin and published Naibbe · the section's own words shuffled across pages give 0 by constructionPartly supported: keeping a table for about 10 to 20 draws (p 0.90 to 0.95) gives every section its page clustering, which the published per-unit draw cannot

What it used and found

Parameters

corpora = 10, variants = schedule sweep, no codebook, no shuffle, no layer

Cite it

Mysteries Department. (2026). T38 grid: page clustering against how long the scribe stays on one table [Run RUN0DC8YCX968A6]. https://mysteriesdept.com/r/RUN0DC8YCX968A6
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