Re: VMs: voynich dice game ... sunday thoughts

[steve ekwall <ekwall2@xxxxxxxx>]

*YES* you are 1/2 way there :-)

1/2 your quest is _char_ to symbol mapping:, THE OTHER HALF, is 
mirrored
of its (vms) _char_..... (SAME THINKING/same thing), the 'gallows' 
create the nextKEY AND Tell WHEN to reverse ones MiRrOreD _char_

_flip_ your KEY on gallows!

best to you & yours there,
-=se=-
steve (SIMPLIER than you think) ekwall :-)

 Date: Sun, 12 Sep 2004 16:22:02 +0200
 From: Marzio De Biasi <voynich@xxxxxxxxxxxx>
 Reply-To: vms-list@xxxxxxxxxxx
 To: vms-list@xxxxxxxxxxx
 Subject: Re: VMs: voynich dice game ... sunday thoughts
 
 OUCH ...  my "lack of knowledge on the REAL VM" stabbed me in the back!
 
 The VM I used for testing is an EVA transcription (text16e6.evt - Friedman 
 + FSG.NEW transcription) and I was absolutely convinced of a 1:1 char to 
 symbol mapping.
 
 Is there an alphabet where this assumption is true (i.e. every symbol is 
 mapped to a different char)?
 Where can I found such transcription?
 I'll repeat the tests on it as soon as I got it!
 
 The statistics are based on the whole manuscript with labels discarded (I 
 took into account only the paragraphs).
 
 Thank you,
    Marzio
 
 
 
 At 15.04 12/09/04, you wrote:
 >Hello Marzio,
 >
 >you've shown some interesting results. The
 >interpretation is as always difficult. On
 >your latest E-mail:
 >
 >--- Marzio De Biasi <voynich@xxxxxxxxxxxx> wrote:
 >
 > > In a previous post I noticed how the word length
 > > distribution of  VM
 > > MATCHES (not only is similar) the distribution
 > > obtained with 2 dice
 > > assuming that 3 of the numbers in (3,5,9) have a
 > > "special meaning" (like
 > > switch to another cardan grill, change encryption
 > > schema, ecc.).
 > >
 > > So, one can assume that the spaces in VM are totally
 > > random and dice driven
 >
 >This really is not correct. The word length
 >distribution depends on two main questions:
 >- which transcription alphabet is used? Depending
 >   on the choice, the distribution will look
 >   different. If it was Eva, it will almost
 >   certainly be wrong. But you can define your
 >   own quite easily and repeat the statistics.
 >- were the statistics based on all the words in
 >   the Voynich MS (i.e. the corpus), or on all the
 >   differnt words (i.e. the vocabulary). Since the
 >   most frequent words are relatively short, the
 >   two distributions will not be the same
 >
 >_If_ dice were involved in the creation of the
 >VMs text, one would have to take into account the
 >above questions in order to explain _how_.
 >
 >Keep up the good work,
 >    cheers, Rene
 >
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