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Useless Arithmetic: Why Environmental…
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Useless Arithmetic: Why Environmental Scientists Can't Predict the Future (edição: 2007)

de Orrin H. Pilkey

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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."… (mais)
Membro:bushlibrary
Título:Useless Arithmetic: Why Environmental Scientists Can't Predict the Future
Autores:Orrin H. Pilkey
Informação:Columbia University Press (2007), Edition: First, Hardcover, 248 pages
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Useless Arithmetic: Why Environmental Scientists Can't Predict the Future de Orrin H. Pilkey

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Government administrators and policy makers use quantitative mathematical models to form future environmental policies. The authors of this book assert that these models are basically useless, that they lead to policies that make things worse, not better.

These models are filled with assumptions, suppositions and several pure guesses. "Fudge factors" are included to come up with an acceptable answer. Politics is frequently involved. An example is when the Canadian government said that the Grand Banks fishing area was in good condition, when "collapse" was a much more accurate description.

The EPA has required that the Yucca Mountain nuclear waste disposal site must be safe for the public for the next 10,000 years. Based on current models, that is absurd enough, but, in 2004, a federal appeals court ruled that the safety of the repository must be assured for up to one million years. Really? That is longer than Homo Sapiens has existed, and there will be at least one major advance and retreat of glaciers, with corresponding huge changes in climate.

Open pit mines are frequently dug beneath the level of the local groundwater. Constant pumping of water keeps the mine dry. When the mine is abandoned, the local water, filled with all sorts of chemicals from the mine, fills the pit. How to predict things like the balance between inflow and outflow of water from the lake, acid production, and chemical reactions within the new lake?

Perhaps it would be better to say, for instance, "Given current conditions, the ocean level will rise over the next hundred years" instead of "Given current conditions, the ocean level will rise by (a specific number) over the next hundred years." Researchers freely admit that the models are full of flaws, but, until someone comes up with something better, they will continue to use them.

Written for the non-scientist (like yours truly), this book is very thought-provoking, and injects some much needed skepticism. It's a must-read of a book. ( )
  plappen | Aug 15, 2016 |
Somewhere, there should be a book that clearly presents the limits of mathematical models of nature to the general public. It's an important topic. Although this book attempts to do so, it ultimately fails due to its authors' faulty argumentation and their evident bias towards qualitative modeling. ( )
  jorgearanda | Jun 12, 2008 |
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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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