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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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PERFECTLY INELASTIC

An elasticity alternative in which changes in one variable (usually price) do NOT cause any changes in another variable (usually quantity). Quantity is totally, completely unresponsive to price. Quantity just does not change, regardless of changes in price. This characterization of elasticity is most important for the price elasticity of demand and the price elasticity of supply. Perfectly inelastic is one of five elasticity alternatives. The other four are perfectly elastic, relatively elastic, relatively inelastic, and unit elastic.

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WHITE GULLIBON
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Today, you are likely to spend a great deal of time calling an endless list of 800 numbers wanting to buy either a lazy Susan for you dining room table or a set of serrated steak knives, with durable plastic handles. Be on the lookout for letters from the Internal Revenue Service.
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This isn't me! What am I?

Only 1% of the U.S. population paid income taxes when the income tax was established in 1914.
"If things are not going well with you, begin your effort at correcting the situation by carefully examining the service you are rendering, and especially the spirit in which you are rendering it."

-- Roger Babson, statistician and columnist

QLR
Quasi-Likelihood Ratio
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