The Ellsberg paradox is a problem in statistics that pertains to the use of random samples.
The paradox is named after mathematician, statistician and RAND Corporation consultant Daniel Ellsberg, who first proposed it in a 1969 paper.
Ellsberg’s paradox states that it is impossible to learn anything about the probability of an event from a random sample of size n if the event occurs with probability p.
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