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.
Result
| Run | Measured | Result | Against | Decision | Date |
|---|---|---|---|---|---|
| Run | Burst 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 265 | Plain Latin and published Naibbe · the section's own words shuffled across pages give 0 by construction | 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 cannot |
What it used and found
Latin genre texts
DATDataset
ZL3b transcription
DATDataset
Latin or Italian under the Naibbe cipher
ANSAnswer it tests
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
@misc{mysteriesdept_run0dc8ycx968a6,
title = {T38 grid: page clustering against how long the scribe stays on one table},
author = {{Mysteries Department}},
year = {2026},
note = {Run, catalog key RUN0DC8YCX968A6},
url = {https://mysteriesdept.com/r/RUN0DC8YCX968A6}
}