This is an amazing theorem that completely defies intuition and lies at the core of classical information theory. One way to defeat the noise is to encode the original information with added redundancy. The price to pay is a reduction on the efficiency of transmission, also called transmission rate. Intuition says that as the communication error goes to zero, through redundancy coding, the transmission rate should go to zero as well. NOT TRUE!. Shannon actually found a finite bound for the transmission rate, even as the communication error goes to zero.

http://en.wikipedia.org/wiki/Noisy-channel_coding_theorem

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