The Voynich Ninja

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@Lisa
I have no idea why the translator wrote ‘leaflets’; I mean the foldouts.
But to explain my train of thought.
I'm starting from the rosette side (black).
Folded sideways (brown). Double book height and triple book width.
If I were to divide the sheet in the middle, I would get two identical sheets with 3 identical compartments (orange). (2x3).
If I cut two normal pages (green), I get one remaining page (red). (3x2). However, this is longer than page (green) but shorter than page (orange).

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I think he picked up the wrong sheet here. (red) instead of the whole sheet (orange).
That's probably why he pushed the zodiac circles so close together. Too close for three rings.
Why not two rings and cut off the rest?
Was it a coincidence, or did he plan for all the fields to be the same size?

Just a thought experiment.


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(13-12-2025, 02:22 PM)LisaFaginDavis Wrote: You are not allowed to view links. Register or Login to view.104v and 115r (conjoint) are more closely related than, say, 104v and 105r (consecutive).

If it is of help to anyone here are some of my plots of correlations between pages in quires 13 and 20. Some plots show closely related pages. Others do not. One thing that stands out is f105v. This page seems odd. It is poorly correlated with all other pages in all plots.


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Could you elaborate on what we're seeing in the plots? I can read the filenames but what are the axes and where is You are not allowed to view links. Register or Login to view. ? 

From the top you have the 20 pages of quire 13 followed by the 23 pages of quire 20. The black line separates the quires. You are not allowed to view links. Register or Login to view. is the 6th line in quire 20. Brighter colours show where there is better correlation. Darker colours show where it is worse. You can ignore the columns on the right.

(15-12-2025, 11:49 AM)dashstofsk Wrote: You are not allowed to view links. Register or Login to view.Brighter colours show where there is better correlation.

How do you define correlation? I tried one method as far as possible from LSA similarity to see what happens. The idea is to test various methods to find out what makes the studied property appear (a "very strong textual correlation across conjoint bifolia" in Q13 and Q20). LSA similarity is a black box, it does not help understand what matters exactly and what does not: word order or proximity? Sub-word tokens (BPE segmentation or prefix-stem-suffix decomposition by some grammar)? Glyph bigram/trigram statistics?

I searched for agreement in a number of parameters: whole words, prefixes, suffices, character pairs, character ends ( first character of word + last character ), bridge pairs ( last character of word + first character of following word ), 3 characters in a row, and used a correlation method similar to what was given in You are not allowed to view links. Register or Login to view.