Cycles the Science of Prediction
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Cycles: The Science of Prediction is Edward R. Dewey and Edwin F. Dakin's classic study of recurring patterns in economics, markets, nature, and human affairs. Written from the perspective of a researcher convinced that many events dismissed as random may instead follow measurable rhythms, the book examines cycles in commodity prices, business activity, weather, agriculture, biology, and social behaviour, offering a systematic argument for prediction through careful observation of repeated patterns.Complete with more than 150 graphs and charts, this edition preserves the book's original data-rich approach, showing how Dewey and Dakin sought to identify, compare, and interpret recurring movements across very different fields of inquiry. Part economics, part statistical investigation, and part metaphysical speculation about order beneath apparent chance, Cycles: The Science of Prediction remains a significant work for readers interested in forecasting, business cycles, market history, natural rhythms, statistical patterns, and the long tradition of attempting to find intelligible structure in human and natural events.
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Cycles: The Science of Prediction is Edward R. Dewey and Edwin F. Dakin's classic study of recurring patterns in economics, markets, nature, and human affairs. Written from the perspective of a researcher convinced that many events dismissed as random may instead follow measurable rhythms, the book examines cycles in commodity prices, business activity, weather, agriculture, biology, and social behaviour, offering a systematic argument for prediction through careful observation of repeated patterns.Complete with more than 150 graphs and charts, this edition preserves the book's original data-rich approach, showing how Dewey and Dakin sought to identify, compare, and interpret recurring movements across very different fields of inquiry. Part economics, part statistical investigation, and part metaphysical speculation about order beneath apparent chance, Cycles: The Science of Prediction remains a significant work for readers interested in forecasting, business cycles, market history, natural rhythms, statistical patterns, and the long tradition of attempting to find intelligible structure in human and natural events.
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