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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."
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combine their outputs and that odd waveform is sampled asynchronously." 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.
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A 99.8% randomness was shown by researchers to negatively affect an estimated 27,000 customers of a large service and that the problem was not limited to just that situation.
52:. Individual numbers can't be predicted, but the likely result of generating a large quantity of numbers can be predicted by specific mathematical series and
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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.
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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.
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Jonathan
Knudson (January 1998). "Javatalk: Horseshoes, hand grenades and random numbers".
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A pre-compiled list of apartment numbers would be a violation thereof.
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Richard
Durstenfeld (July 1964). "Algorithm 235: Random permutation".
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Robert
Moscowitz (July 12, 1999). "Privacy's Random Nature".
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343:"Flaw Found in an Online Encryption Method"
310:"NYPD Bad Cop's Illegal Search Mars Career"
76:for shuffling lists. (popularly known as
204:. Vol. 7, no. 7. p. 420.
94:In 1999, a new feature was added to the
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64:Random numbers are frequently used in
276:"Unpredictable Randomness Definition"
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102:. It has been described as "several
200:Association for Computing Machinery
91:, based on work they did in 1938).
341:John Markoff (February 14, 2012).
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364:"The man who cracked the lottery"
260:Terry Ritter (January 21, 1999).
144:Algorithmically random sequence
131:have real-world consequences.
60:Algorithms and implementations
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362:Reid Forgrave (May 3, 2018).
308:Tom Hays (April 16, 1995).
48:) process such as throwing
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44:is generated by a random (
196:Communications of the ACM
154:Random number generation
123:Real world consequences
100:random number generator
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262:"The Pentium III RNG"
241:"Hardwiring Security"
210:10.1145/364520.364540
149:Quasi-random sequence
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111:Common understanding
88:Fisher–Yates shuffle
98:: a hardware-based
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315:Los Angeles Times
297:. pp. 16–17.
226:Network Computing
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174:Random real
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180:References
129:randomness
66:algorithms
54:statistics
46:stochastic
127:Flaws in
74:algorithm
384:Category
138:See also
68:such as
82:shuffle
70:Knuth's
280:IRISA
246:Wired
80:Knuth
86:the
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