22-06-2025, 05:50 PM
While it is possible in principle, I suspect an encoding like this should leave its traces in various character combination statistics, allowing for clear separation of character combinations into two classes. I'm not aware of any computational results that would support this. I don't think there is a very clear boundary between statistically ordinary and unusual words, for example. When you look at character combination statistics, there appears to be a very smooth continuum. I would expect some boundary if part of the text was the actual encoding and another large part just nulls.
Also, producing a large number of statistically plausible nulls is not an easy task by itself. Voynichese shows low string repetition counts for multiword strings compared to natural text. I prefer explaining this with the use of a one to many cipher. (With a simple one to many substitution cipher it would be enough to have 2 options per character to reduce repetitions dramatically, since for a string of 20 characters to perfectly repeat one would have to make the same choice 20 times in a row.)
If a large portion of the manuscript was gibberish created by randomly stringing filler words, I would expect a lot of coincidental repetitions. It's hard to produce pages and pages of gibberish without repeating oneself.
Also, producing a large number of statistically plausible nulls is not an easy task by itself. Voynichese shows low string repetition counts for multiword strings compared to natural text. I prefer explaining this with the use of a one to many cipher. (With a simple one to many substitution cipher it would be enough to have 2 options per character to reduce repetitions dramatically, since for a string of 20 characters to perfectly repeat one would have to make the same choice 20 times in a row.)
If a large portion of the manuscript was gibberish created by randomly stringing filler words, I would expect a lot of coincidental repetitions. It's hard to produce pages and pages of gibberish without repeating oneself.

