Run · Voynich Manuscript
T38 grid: word-to-word glyph dependency and near-twins, every variant, as written and without the first glyph
Shuffling the manuscript's own words removes most of its edge dependency, so it lives in word order (how one word ends predicts how the next begins), not in the vocabulary, and removing first glyphs leaves most of it. In Naibbe each word is an independent cipher unit, so nothing links the end of one to the start of the next. Near-twins, one-glyph variants close together, are partly vocabulary and partly local.
Result
| Run | Measured | Result | Against | Decision | Date |
|---|---|---|---|---|---|
| Run | MI between a word's last glyph and the next word's first (edge MI, bits); share of words with a one-glyph variant within the next 10 words (twin10); edge MI on word bodies | edge MI: manuscript 0.19-0.32 by section, the 72 variants 0.01-0.10; on bodies 0.11-0.27 against 0.01-0.12. twin10: manuscript 0.24-0.33, variants 0.13-0.19 | The section's own words shuffled across its pages: edge MI 0.02-0.08, twin10 0.18-0.27 | Not supported: no variant in any section comes within the spread on either statistic |
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, sections = 6, variants = 72
Cite it
Mysteries Department. (2026). T38 grid: word-to-word glyph dependency and near-twins, every variant, as written and without the first glyph [Run RUN0DC8YFNJRFFC]. https://mysteriesdept.com/r/RUN0DC8YFNJRFFC
@misc{mysteriesdept_run0dc8yfnjrffc,
title = {T38 grid: word-to-word glyph dependency and near-twins, every variant, as written and without the first glyph},
author = {{Mysteries Department}},
year = {2026},
note = {Run, catalog key RUN0DC8YFNJRFFC},
url = {https://mysteriesdept.com/r/RUN0DC8YFNJRFFC}
}