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RISK POOLING: Combining the uncertainty of individuals into a calculable risk for large groups. For example, you may or may not contract the flu this year. However, if you're thrown in with 99,999 other people, then health-care types who spend their lives measuring the odds of an illness, can predict that 1 percent of the group, or 1,000 people, will get the flu. The uncertainty is that they probably don't know which 1,000 people, they only know the number afflicted. This little bit of information is what makes risk pooling possible. If the cost is $50 per illness, then an insurance company can insure your 100,000-member group against flu if they collect $50,000 ($50 x 1,000 sick people), or 50 cents per person. By agreeing to pay the cost of each sick person in exchange for the 50 cent payments, the insurance company has effectively pooled the risk of the group.

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VOTING PARADOX

The possibility that the voting preferences of a group of individuals results in an inconsistent, or intransitive, ranking. While consistent, or transitive, ranking of preferences is expected for individuals, such might not occur for groups of voters. If a consumer prefers good A to good B and good B to good C, then it makes logical sense that the consumer also prefers good A to good C. The voting paradox arises because a group of individuals might prefer A to B and B to C, but then prefer C to A, an inconsistent and intransitive ranking of preferences. Other related voting problems identified by the study of public choice includes the median voter principle, logrolling, and voter apathy (due to rational ignorance and rational abstention).

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Today, you are likely to spend a great deal of time at an auction looking to buy either a coffee cup commemorating the 1960 Presidential election or a how-to book on fixing your computer, with illustrations. Be on the lookout for telephone calls from long-lost relatives.
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