Statistical Randomness
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High Quality Content by WIKIPEDIA articles! A numeric sequence is said to be statistically random when it contains no recognizable patterns or regularities; sequences such as the results of an ideal die roll, or the digits of exhibit statistical randomness. Statistical randomness does not necessarily imply "true" randomness, i.e., objective unpredictability. Pseudorandomness is sufficient for many uses. A distinction is sometimes made between global randomness and local randomness. Most philosophical conceptions of randomness are "global" they are based on the idea that "in the long run" a seq...
High Quality Content by WIKIPEDIA articles! A numeric sequence is said to be statistically random when it contains no recognizable patterns or regularities; sequences such as the results of an ideal die roll, or the digits of exhibit statistical randomness. Statistical randomness does not necessarily imply "true" randomness, i.e., objective unpredictability. Pseudorandomness is sufficient for many uses. A distinction is sometimes made between global randomness and local randomness. Most philosophical conceptions of randomness are "global" they are based on the idea that "in the long run" a sequence would look truly random, even if certain sequences would not look random (in a "truly" random sequence of numbers of sufficient length, for example, it is probable that there would be long sequences of nothing but zeros, though on the whole the sequence might be "random"). "Local" randomness refers to the idea that there can be minimum sequence lengths in which "random" distributions are approximated.
