Run · Voynich Manuscript
Word-initial glyph layer: published Naibbe against each section
Naibbe-family hyper-simulation, section by section: Share of words beginning with the four commonest glyphs / entropy of word-initial glyphs (bits).
Result
| Run | Measured | Result | Against | Decision | Date |
|---|---|---|---|---|---|
| Run | Share of words beginning with the four commonest glyphs / entropy of word-initial glyphs (bits) | top-4 share manuscript vs Naibbe: stars B 0.644 vs 0.638, pharmaceutical A 0.661 vs 0.650, text B 0.616 vs 0.632, biological B 0.688 vs 0.637, herbal B 0.603 vs 0.644, herbal A 0.596 vs 0.642. Whole book: o 20 %, ch 16 %, q 16 %, d 9 % begin words (61 %); qo- 15 % | Plain Latin: top-4 share about 0.37, entropy 4.05 bits | Descriptive: the cipher reproduces the concentrated word openings within |z| 2 in three of six sections; it is not where Naibbe fails, and removing first glyphs does not rescue the statistics it misses |
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, variant = unit|K0|sh0|L0 (as published)
Cite it
Mysteries Department. (2026). Word-initial glyph layer: published Naibbe against each section [Run RUN0DC8YG3NV5XE]. https://mysteriesdept.com/r/RUN0DC8YG3NV5XE
@misc{mysteriesdept_run0dc8yg3nv5xe,
title = {Word-initial glyph layer: published Naibbe against each section},
author = {{Mysteries Department}},
year = {2026},
note = {Run, catalog key RUN0DC8YG3NV5XE},
url = {https://mysteriesdept.com/r/RUN0DC8YG3NV5XE}
}