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Entropy is a measure of how predictable the outcome of a random process is, or how much uncertainty one has about an unknown quantity in one's state of knowledge, defined in terms of the probability distribution on possible outcomes or quantities.
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If you hashed a hash an infinite number of times would you end up with a unique hash?
number of hashes initially is $2^{128}$ however if you feed the hash back into the algorithm there would be collisions so two or more input hashes will map to one single output hash thus reducing the entropy …