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by simonh
2551 days ago
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From the article: >The easy thing to do is to ask someone βHey, pick a random number from 1 to 10!β. The person replies β7!β. Great! Now you have a number. However, you start to wonder, is the number uniformly random? So the problem reduces to transforming one form of randomness (picking a person) to another form (a uniform numeric distribution. That's implicit in the whole rest of the article. >If you've got a random way of picking one of ten people, then you've already got a random number between one and ten. You've got a source of randomness, but you still need to turn that into a number. The article gives one method and I've given another. You could also assign the people numbers from a stack of shuffled numbered tiles, then pick a person although that requires you have the tiles which is not really part of the setup. The conceit is that you have to use people's ability to pick numbers pseudo-randomly. There are probably numerous ways. |
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