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Bill James

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I didn't care about the statistics in anything else. I didn't, and don't pay any attention to the statistics of the stock market, the weather, the crime rate, the gross national product, the circulation of magazines, the ebb and flow of literacy among football fans and how many people are going to starve to death before the year 2050 if I don't start adopting them for $3.69 a month; just baseball. Now why is that? It is because baseball statistics, unlike the statistics in any other area, have acquired the powers of language.
--
1985 Baseball Abstract

 
Bill James

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I am not interested in statistics that tell me things are not as bad as they seem. Things are horrible. I have met people crying about what is happening, but there is no solution yet. Our children are trying to tell us something, and we are not listening. I don't care what the statistics say.

 
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By the laws of statistics we could probably approximate just how unlikely it is that it would happen. But people forget—especially those who ought to know better, such as yourself—that while the laws of statistics tell you how unlikely a particular coincidence is, they state just as firmly that coincidences do happen.

 
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Her statistics were more than a study, they were indeed her religion... Florence Nightingale believed — and in all the actions of her life acted upon that belief — that the administrator could only be successful if he were guided by statistical knowledge. The legislator — to say nothing of the politician — too often failed for want of this knowledge. Nay, she went further; she held that the universe — including human communities — was evolving in accordance with a divine plan; that it was man's business to endeavor to understand this plan and guide his actions in sympathy with it. But to understand God's thoughts, she held we must study statistics, for these are the measure of His purpose. Thus the study of statistics was for her a religious duty.

 
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[Box's 1960 paper Fitting empirical data is] a mature exposition of an important branch of statistics, to which the author has made great contributions. One feature of particular interest is practical discussion of genuinely nonlinear fitting problems and their solution with the help of tact and a special, publicly available, IBM-704 program. Another is insightful comments on the role of prior distributions in statistics.

 
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They had made the mistake of thinking of a personality as some sort of possession, like a suit of clothes, which a person wears. But apart from a personality what is there? Some bones and flesh. A collection of legal statistics, perhaps, but surely no person. The bones and flesh and legal statistics are the garments worn by the personality, not the other way around.

 
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