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    It's implausible that these characters just happen to
    appear with a language-like frequency distribution and
    are all meaningless spaces
Really? If I were to try to pick random letters I suspect I would end up mirroring the frequency that they appeared in English.



Probably depends on how you were picking them. If you were using something like DiceWare to pick letters from an English document, then yeah, you would nail the frequency. But if you were picking letters at random in your head, I would be very surprised if you got anything more than a very roughest of distributions. Anything more than "lots of e's, few q's" would surprise me.

Humans rather suck at picking random numbers. We skew towards picking numbers that seem "more random", whatever that means (which would probably work in your favour for picking random letters with an English frequency, though I'm not too sure), but we also avoid "randomly" generating streaks of numbers, because we feel those are "less random".

If you put two teams in a room, one flipping a fair coin (and writing down the results), and the other pretending to flip a coin but just faking the results, it is usually very trivial to pick out which team actually flipped the coin. They are going to have surprisingly long streaks of heads or tails.

I don't have any evidence to necessarily suggest it, but I suspect this anti-streak tendency will tend to be strong enough to interfere with any correct frequencies which may otherwise appear. ("Oh my, this is far too many e's in a row..")

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Probably not. People are bad at random: http://scienceblogs.com/cognitivedaily/2007/02/05/is-17-the-...

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I think his point is valid exactly because people are bad at randomness.

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/me rereads

Oh, heh, I can see it that way now. I had intended my comment to say that, since you'd be trying to reach that set of ratios to hide things, you'd probably fail miserably against any competent analysis.

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I think his computer/software is defective.

Testing the "random distribution" like it was done - with a small sample size - is ineffective at best

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