This link has been bookmarked by 49 people . It was first bookmarked on 24 Nov 2006, by Todd Sayre.
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Birthday problem
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50% probability with 23 people
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99% probability is reached with just 57 people,
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uses this probabilistic model to reduce the complexity of cracking a hash function
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Sarah Baskerville@Baskers Ah - the birthday paradox :) http://t.co/fprc1SqW
– Andy Bold (AndyBold) http://twitter.com/AndyBold/status/202004568769429504 -
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Marcos PereiraIn probability theory, the birthday problem, or birthday paradox, pertains to the probability that in a set of randomly chosen people some pair of them will have the same birthday. In a group of 23 (or more) randomly chosen people, there is more than 50%
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For 57 or more people, the probability is more than 99%, tending toward 100% as the pool of people grows
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a group of 23 people there are 23*22/2=253 pairs
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with one person they have 365 opportunities to have a different birthday. The second person only has 364 possibilities to have a different birthday than the first person. The third person has 363 days, and so on.
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Aditya BanerjeeIn a group of 23 (or more) randomly chosen people, there is more than 50% probability that some pair of them will have the same birthday. For 57 or more people, the probability is more than 99%
encryption birthday paradox statistics maths probability wikipedia
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