Random number

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File:Two red dice 01.svg
Dice are an example of a mechanical hardware random number generator. When a cubical die is rolled, a random number from 1 to 6 is obtained.

A random number is generated by a random (stochastic) process such as throwing dice. Individual numbers cannot be predicted, but the likely result of generating a large quantity of numbers can be predicted by specific mathematical series and statistics.

Algorithms and implementations

Random numbers are frequently used in algorithms such as Knuth's 1964-developed algorithm[1] for shuffling lists. (popularly known as the Knuth shuffle or the Fisher–Yates shuffle, based on work they did in 1938).

In 1999, a new feature was added to the Pentium III: a hardware-based random number generator.[2][3] It has been described as "several oscillators combine their outputs and that odd waveform is sampled asynchronously."[4] These numbers, however, were only 32 bit, at a time when export controls were on 56 bits and higher, so they were not state of the art.[5]

Common understanding

In common understanding, "1 2 3 4 5" is not as random as "3 5 2 1 4" and certainly not as random as "47 88 1 32 41" but "we can't say authoritavely that the first sequence is not random ... it could have been generated by chance."[6]

When a police officer claims to have done a "random .. door-to-door" search, there is a certain expectation that members of a jury will have.[7][8][<span title="Script error: No such module "decodeEncode".">example needed]

Real world consequences

Flaws in randomness have real-world consequences.[9][10]

A 99.8% randomness was shown by researchers to negatively affect an estimated 27,000 customers of a large service[9] and that the problem was not limited to just that situation.[<span title="Script error: No such module "decodeEncode".">clarification needed]

See also

References

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  1. ^ Page Module:Citation/CS1/styles.css has no content.Richard Durstenfeld (July 1964). "Algorithm 235: Random permutation". Communications of the ACM. 7 (7): 420. doi:10.1145/364520.364540.
  2. ^ Page Module:Citation/CS1/styles.css has no content.Robert Moscowitz (July 12, 1999). "Privacy's Random Nature". Network Computing.
  3. ^ Page Module:Citation/CS1/styles.css has no content."Hardwiring Security". Wired. January 1999.
  4. ^ Page Module:Citation/CS1/styles.css has no content.Terry Ritter (January 21, 1999). "The Pentium III RNG".
  5. ^ Page Module:Citation/CS1/styles.css has no content."Unpredictable Randomness Definition". IRISA.
  6. ^ Page Module:Citation/CS1/styles.css has no content.Jonathan Knudson (January 1998). "Javatalk: Horseshoes, hand grenades and random numbers". Sun Server. pp. 16–17.
  7. ^ Page Module:Citation/CS1/styles.css has no content.Tom Hays (April 16, 1995). "NYPD Bad Cop's Illegal Search Mars Career". Los Angeles Times.
  8. ^ A pre-compiled list of apartment numbers would be a violation thereof.
  9. ^ a b Page Module:Citation/CS1/styles.css has no content.John Markoff (February 14, 2012). "Flaw Found in an Online Encryption Method". New York Times.
  10. ^ Page Module:Citation/CS1/styles.css has no content.Reid Forgrave (May 3, 2018). "The man who cracked the lottery". New York Times.

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