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  2. Birthday problem - Wikipedia

    en.wikipedia.org/wiki/Birthday_problem

    The birthday problem can be generalized as follows: Given n random integers drawn from a discrete uniform distribution with range [1,d], what is the probability p(n; d) that at least two numbers are the same? (d = 365 gives the usual birthday problem.) [15] The generic results can be derived using the same arguments given above.

  3. Birthday attack - Wikipedia

    en.wikipedia.org/wiki/Birthday_attack

    A birthday attack is a bruteforce collision attack that exploits the mathematics behind the birthday problem in probability theory. This attack can be used to abuse communication between two or more parties. The attack depends on the higher likelihood of collisions found between random attack attempts and a fixed degree of permutations ...

  4. Wikipedia:Reference desk/Science/Birthday probability ...

    en.wikipedia.org/.../Birthday_probability_question

    A naive application of the even-odd rule gives (,) = = () ()where P(m,n) is the probability of m people having all of n possible birthdays. At least for P(4,7) this formula gives the same answer as above, 525/1024 = 8400/16384, so I'm fairly confident it's right.

  5. Birthday effect - Wikipedia

    en.wikipedia.org/wiki/Birthday_effect

    The birthday effect (sometimes called the birthday blues, especially when referring specifically to suicide) ...

  6. Talk:Birthday problem - Wikipedia

    en.wikipedia.org/wiki/Talk:Birthday_problem

    Birthday problem was a Natural sciences good articles nominee, but did not meet the good article criteria at the time. There may be suggestions below for improving the article. Once these issues have been addressed, the article can be renominated. Editors may also seek a reassessment of the decision if they believe there was a mistake.

  7. File:Birthday paradox probability.svg - Wikipedia

    en.wikipedia.org/wiki/File:Birthday_paradox...

    English: In probability theory, the birthday paradox concerns the probability that, in a set of n randomly chosen people, some pair of them will have the same birthday. By the pigeonhole principle, the probability reaches 100% when the number of people reaches 367 (since there are 366 possible birthdays, including February 29).

  8. Cheryl's Birthday - Wikipedia

    en.wikipedia.org/wiki/Cheryl's_Birthday

    Cheryl's Birthday" is a logic puzzle, ... Note that this problem is a slight variation of another problem, previously presented by Martin Gardner. [14]

  9. Hash collision - Wikipedia

    en.wikipedia.org/wiki/Hash_collision

    Another reason hash collisions are likely at some point in time stems from the idea of the birthday paradox in mathematics. This problem looks at the probability of a set of two randomly chosen people having the same birthday out of n number of people. [5] This idea has led to what has been called the birthday attack.