About word length distribution

[tikonen]

Those are some cool dice!

My question is: why would they go through this effort?

I don't really know and I'm not willing to speculate at this point, I've still very limited understanding of all the aspects of VM.

I'm approaching the VM with an assumption that it's generated with a tooling that gives its telltale characteristic like the binomial distribution. In my previous job I worked in the gaming industry with pseudorandom systems (like loot drops) and pseudo language generation for MMORPG npc (non player character and location names) etc. Idea was not to produce something random but something that *looked* plausibly real, at least for western audience.

When I apply these lessons to VM alphabet I get very similar output and distribution of tokens.

For example assume a slot machine that has 3 wheels with 6 position each. Each position has a unique token or syllable, maybe some token is a blank. Roll each wheel and use each in order to construct a word. First wheel is always used for the start, 2nd for middle and 3rd for the ending. Here is a toy example

wheel1 = ['a', 'b', 'aa', '', 'qo', 'abc']
wheel2 = ['a', 'b', 'aa', 'ab', 'aaa', 'abc']
wheel3 = ['a', 'b', 'aa', 'ab', 'in', 'abc']

Words constructed from these wheels look like:
abcabcb qoabab aabin abcaaab abcaaaa aba aaain qoaaab aaab qoaaaaa qoabaa aaaaa baaain abcaaaabc aaaaaabc abcabab aaabc qoba aabcin abcbab

The distribution matches the VM (for number of unique tokens of a length), as long as one generates enough, at least several thousand words.