It is the business of science to predict. An exact science like astronomy can usually make very accurate predictions indeed. A chemist makes a precise prediction every time he writes a formula. The nuclear physicist advertised to the world, in the atomic bomb, how man can deal with entities so small that they are completely beyond the realm of sense perception, yet make predictions astonishing in their accuracy and significance. Economics is now reaching a point where it can hope also to make rather accurate predictions, within limits which this study will explain.
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Edward R. Dewey was an American economist and researcher best known for his work on recurring cycles in economics, markets, natural phenomena, and social behaviour. After serving as Chief Economic Analyst for the United States Department of Commerce during the Depression era, Dewey became increasingly interested in whether repeated rhythms could be detected beneath apparently irregular events. In 1941 he founded the Foundation for the Study of Cycles, a research organisation devoted to the investigation of periodic patterns across the economy, science, nature, and the arts.
Edwin F. Dakin was an American writer, researcher, and collaborator whose work on Cycles: The Science of Prediction helped present Dewey's cycle research in a broad, readable form. His role in the book is especially important because the volume does not merely catalogue data; it argues for the wider significance of recurring patterns across economics, markets, weather, agriculture, biology, and social history. Together, Dewey and Dakin produced a book that remains useful to readers interested in forecasting, business cycles, statistical recurrence, market history, and the search for order beneath apparent chance.
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