1 ;;Quote: Principle of Least Effort: people strive to minimize the average rate of work-expenditure they must use to solve immediate problems and probable future problems
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2 ;;Quote: a person or dynamical system can only minimize or maximize one property; otherwise the problem becomes meaningless and indeterminate; e.g., minimize work or time but not both
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8 ;;Quote: tools and jobs seek each other. Use the best tools for a job, and given the tools, find the best jobs
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21 ;;Quote: a speaker wants to unify distinct meanings in one word, while an auditor wants diversity with one word per meaning; these conflicting economies lead to vocabulary balance
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24 ;;Quote: a word's rank in Ulysses times its frequency of occurrence is a constant; i.e. a 45 degree line on log-log paper with steps for low frequencies
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24+;;Quote: need the right sample size to get a hyperbolic relationship for rank vs. frequency in Zipf's law
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28 ;;Quote: the number of meanings for a word is the square root of the word's frequency; e.g., Thorndike's index of 10 million running words
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46 ;;Quote: even distribution of interval sizes (logarithmic) for words that occur 6 to 24 times in Ulysses; demonstrates an even distribution of effort
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59 ;;Quote: Law of Abbreviation: if arrange tools linearly away from an artisan, the tools will tend to increase in size, weight and distance as they decrease in frequency of use
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65 ;;Quote: two examples of the inverse relationship between the length of a word and its frequency of use
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67 ;;Quote: frequently used tools will tend to be lighter, smaller, older, more versatile, and more thoroughly integrated; because such tools are less expensive to use
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170 ;;Quote: diversity of news conflicts with thoroughness of reporting, so the product of frequency rank and size should be constant; e.g., data from newspapers and an encyclopedia
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352 ;;Quote: moving people to raw material distributes cities while moving raw materials to people unifies cities; e.g., product of rank-frequency is constant for U.S. cities in 1940
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400 ;;Quote: the rank-frequency distribution of cities by size leads to a rank-frequency distribution of phone calls by distance
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