vault backup: 2024-08-01 15:46:21
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@ -5,3 +5,5 @@ In standard numeral systems, different digits are treated as containing the same
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This makes the amount of information a single digit stores *uniform* across all digits. However, that's far from the most efficient way to represent most datasets.
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ANS theory is based around the idea that digits that occur more often can be stored in a way that requires less information, and digits that occur less often can be stored using more information.
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Taking a look at the standard binary numeral system, there are two digits in the set (0 and 1). Given a natural number represented in binary, eg `1010`, there are two different ways to *add information to that number*
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