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VMs: A very important discovery!!


   In the first place I want to apologize because my
last post said that in successive days I would put
some results that I have obtained, but until today I
have said absolutely nothing. The reason has been that
I have been compiling this information. 

   Well, as I say in the title of this post I believe
that I have found an important discovery, which can
indicate that Voynich MS isn't a hoax. Yes, you are
hearing well, I believe that this discovery can
demonstrate it. (it will be necessary that more people
confirm it). 

   The discovery is about the gallows and how them
influence the text that precedes. This can demonstrate
that Steve Ekwall, Marianna Ridderstad and other
people who contribute in this list can be in the
correct way with their method to decode the VMS. 

   The discovery, in fact, has been by chance. Next I
will explain us all:

   As I said, in the following days to my last post, I
would post some of my results. So during this week I
have been executing some of my different applications
to analyze the texts in different languages and
collecting the resultant data. 

   During this week too, I have implement another
program, which determines the percentage of different
words respect to the total of the words that have been
appeared during an interval of lines that is indicated
by the user.

   The results are: the number of words until a
specific line and the percentage of the different
words over the total of the current words (note that I
say "number of words" and not: "number of lines" since
is more correct because if the text have some lines
with a single word it can modify the results).

   These results are stored in a txt, which can be
plotted easily by some program in the respective
x-axis and y-axis, and we can see the relation between
these two variables. (I concretely use a program
called CurveExpert®_v1.3). 

   If we observe the graphs of the different texts we
can observe that the more words appear in the text,
the less is the percentage of different words. In
addition, this graph (for a text of the same language)
mustn't have exaggerated peaks (it must be ever

   In this way I decided to apply this "technique" to
the VMS to see if I can recognize the two (supposed)
different "languages". The result was positive. (In a
next post I will show them, but this one is not the
reason by which now I'm writing). This way can
demonstrate that we can distinguish between two
different languages in a same text. 

   Furthermore, I think that it's necessary to say
that I have an extract of VMS in a txt which
correspond with the same "language". This one has been
a little modified by me (I have changed some
associations of letters of the EVA transcription by
only a single character (for example:  iii->m; or

   The discovery begins here: 

   This last Saturday I was comparing different texts
to the VMS. By chance, I was investigating the
functions of a text editor called Editplus®_v2.11. I
found a function that would sort the text by the fist
word of each line. 

   Thus the first four lines of the VMS will be
distributed in this new text in that way:


* Note that I have used my personal transcription of
the VMS which I have mentioned before. 

   Then, with the sorted lines I executed the
application that I created. The results were
unexpected! Instead of having a totally decreasing
graph (like was the extract of the VMS before being
sorted), it had appeared some peaks, what it's 
equivalent to a change in the language of the text.
But it wasn't all in the same language??!!! I was

   I performed the test with other texts in different
languages: Spanish (extract of "El Quijote"), English
(extract of "The book of Genesis"), Italian(extract of
"Orlando Furioso"), French (extract of "20000 Lieues
Sous Les Mers") and Latin (extract of "Julius Caesar's
Commentaries on the Gallic War"). But in any of these
languages appeared similar peaks. 

   But my surprise was enormous when I looked for the
lines of the text which corresponded the peaks.
Accurately, I observed that the three main crests
corresponded to the lines [205-220], [290-335] and
[595-680], which corresponded with the lines that
begin by the gallows f([205-219]), k([286-334]) and
p([593-681]), respectively! 

   You can show the results here:


   So this indicate that gallows produces something
similar to a change in the language. But if all the
text is in the same language, what does it means? 

   My opinion is that gallows influence as a line is
codified (key), or perhaps all the paragraph. Since
depending on the key to codify the text we can get
different words. But I'm not an expert in
cryptography, this must be confirmed. 

   I hope that these results indicate my conclusion.
What do you think about it? I'm waiting for your

   I'm very excited with my firsts results!

Regards, Jose Rodríguez.

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