I understand randomly selected words are not the same as the English text Shannon is talking about. However my point is that entropy may be lower than what it appears to be. I'm not saying it is 0.6 bits per character…
I am merely suggesting that the entropy can be less than what is estimated by looking only at the dictionary. Re 1: words still consist of characters Re 2: Certainly correct, but to ignore the possibility of English…
You deny the fact that English text can be attacked separately from your dictionary. English text is very predictable, for example e is much more common and q is almost certainly followed by u. I'm not making this up on…
This is simply incorrect. If you assume you really do have 100 000 "characters" in your alphabet this is correct. However, your alphabet follows a certain pattern: It's English text. At that point its easier to brute…
The XKCD comic is only partially correct. Depending on what source you believe English text has about 0.6 to 2.3 bits of entropy per character. This means you need somewhere between 4.7 and 18.3 characters in each word…
I understand randomly selected words are not the same as the English text Shannon is talking about. However my point is that entropy may be lower than what it appears to be. I'm not saying it is 0.6 bits per character…
I am merely suggesting that the entropy can be less than what is estimated by looking only at the dictionary. Re 1: words still consist of characters Re 2: Certainly correct, but to ignore the possibility of English…
You deny the fact that English text can be attacked separately from your dictionary. English text is very predictable, for example e is much more common and q is almost certainly followed by u. I'm not making this up on…
This is simply incorrect. If you assume you really do have 100 000 "characters" in your alphabet this is correct. However, your alphabet follows a certain pattern: It's English text. At that point its easier to brute…
The XKCD comic is only partially correct. Depending on what source you believe English text has about 0.6 to 2.3 bits of entropy per character. This means you need somewhere between 4.7 and 18.3 characters in each word…