10-04-2017, 02:50 PM
Over the past few months I've been analysing the text, using standard statistical techniques, and now think I have a good idea how it was written. I have posted You are not allowed to view links. Register or Login to view. describing my analysis, along with some attached files, on my "blog".
As there's a lot to read there, and you're no doubt ol daiin to know my You are not allowed to view links. Register or Login to view., I'm afraid they're going to disappoint many of you. I have concluded that the text is almost certainly meaningless. I have also worked out, in detail, the general method by which the text must have been generated. Then, using this method, I have generated a You are not allowed to view links. Register or Login to view.. In You are not allowed to view links. Register or Login to view., I verified that this has all the important statistical properties of the original text. The method leaves very little scope for hiding any meaning.
In brief, the text appears to have been generated using state transition tables. At each state, a glyph is written. The transition to the following state is then a weighted random choice, possibly decided by drawing a card or two from a shuffled pack, though I'm open-minded about the exact mechanism. This might be a slow and tedious process, but it fits the data. The state generation tables I have used are capable of generating 90% of the original text, but there's no reason that couldn't be improved upon.
There are a few loose ends. My method focuses on word generation. Deciding paragraph breaks is still somewhat ad-hoc, and I didn't generate labels, though I think I have good reasons why they shouldn't present any problems.
As there's a lot to read there, and you're no doubt ol daiin to know my You are not allowed to view links. Register or Login to view., I'm afraid they're going to disappoint many of you. I have concluded that the text is almost certainly meaningless. I have also worked out, in detail, the general method by which the text must have been generated. Then, using this method, I have generated a You are not allowed to view links. Register or Login to view.. In You are not allowed to view links. Register or Login to view., I verified that this has all the important statistical properties of the original text. The method leaves very little scope for hiding any meaning.
In brief, the text appears to have been generated using state transition tables. At each state, a glyph is written. The transition to the following state is then a weighted random choice, possibly decided by drawing a card or two from a shuffled pack, though I'm open-minded about the exact mechanism. This might be a slow and tedious process, but it fits the data. The state generation tables I have used are capable of generating 90% of the original text, but there's no reason that couldn't be improved upon.
There are a few loose ends. My method focuses on word generation. Deciding paragraph breaks is still somewhat ad-hoc, and I didn't generate labels, though I think I have good reasons why they shouldn't present any problems.