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Useless Arithmetic Why Environmental Scientists Cant Predict The Future Orrin H Pilkey

  • SKU: BELL-996414
Useless Arithmetic Why Environmental Scientists Cant Predict The Future Orrin H Pilkey
$ 31.00 $ 45.00 (-31%)

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Useless Arithmetic Why Environmental Scientists Cant Predict The Future Orrin H Pilkey instant download after payment.

Publisher: Columbia University Press
File Extension: PDF
File size: 2.58 MB
Pages: 247
Author: Orrin H. Pilkey, Linda Pilkey-Jarvis
ISBN: 9780231132138, 0231132131
Language: English
Year: 2009

Product desciption

Useless Arithmetic Why Environmental Scientists Cant Predict The Future Orrin H Pilkey by Orrin H. Pilkey, Linda Pilkey-jarvis 9780231132138, 0231132131 instant download after payment.

Noted coastal geologist Orrin Pilkey and environmental scientist Linda Pilkey-Jarvis show that the quantitative mathematical models policy makers and government administrators use to form environmental policies are seriously flawed. Based on unrealistic and sometimes false assumptions, these models often yield answers that support unwise policies.Writing for the general, nonmathematician reader and using examples from throughout the environmental sciences, Pilkey and Pilkey-Jarvis show how unquestioned faith in mathematical models can blind us to the hard data and sound judgment of experienced scientific fieldwork. They begin with a riveting account of the extinction of the North Atlantic cod on the Grand Banks of Canada. Next they engage in a general discussion of the limitations of many models across a broad array of crucial environmental subjects.The book offers fascinating case studies depicting how the seductiveness of quantitative models has led to unmanageable nuclear waste disposal practices, poisoned mining sites, unjustifiable faith in predicted sea level rise rates, bad predictions of future shoreline erosion rates, overoptimistic cost estimates of artificial beaches, and a host of other thorny problems. The authors demonstrate how many modelers have been reckless, employing fudge factors to assure "correct" answers and caring little if their models actually worked.A timely and urgent book written in an engaging style, Useless Arithmetic evaluates the assumptions behind models, the nature of the field data, and the dialogue between modelers and their "customers."

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