Here's a slightly different view on the labels. Let's just consider the 300 zodiac labels.
None of them are 'very frequent' Voynich words. If we look at the five most frequent words, which I suspect to be:
daiin chedy Shedy chol aiin
and I count their occurrence in the MS using the table at the bottom of You are not allowed to view links. Register or Login to view. , then I arrive at 2549 word tokens (apart from counting errors).
The total number of word tokens in the MS is of the order of 38,000 .
This means that 6.4% of all word tokens is one of the above five, but among the labels they don't appear.
If one were to take (arbitrarily) 300 words in the manuscript, then the probability that none of them is one of the above five is 2 * 10^ -9.
This just confirms what we knew: the labels are not standard VMs text, but something different.
None of them are 'very frequent' Voynich words. If we look at the five most frequent words, which I suspect to be:
daiin chedy Shedy chol aiin
and I count their occurrence in the MS using the table at the bottom of You are not allowed to view links. Register or Login to view. , then I arrive at 2549 word tokens (apart from counting errors).
The total number of word tokens in the MS is of the order of 38,000 .
This means that 6.4% of all word tokens is one of the above five, but among the labels they don't appear.
If one were to take (arbitrarily) 300 words in the manuscript, then the probability that none of them is one of the above five is 2 * 10^ -9.
This just confirms what we knew: the labels are not standard VMs text, but something different.
![[+]](https://www.voynich.ninja/images/collapse_collapsed.png)