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Cited by 284

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Useless arithmetic: why environmental scientists can't predict the future

·2007·Choice Reviews Online

Abstract

This book is about disastrous decisions made on critical environmental issues. The authors document multiple cases ranging from nuclear waste disposal to plant invasion. Between the initial acceptance of a particular environmental issue and the eventual decision for action (or inaction), they show that something all too often goes very wrong. The cases they cite are unarguable, and they are right, at least about the outcome, in each instance: extremely bad decisions have been made that have led to situations that should outrage all of us. These have included the almost complete depletion of cod stocks on George’s Bank and the engineering of beaches that has had the reverse effect of what was purportedly intended, the saving of those beaches. Having been living recently in North Carolina, I am aware of the role of one of the authors, Orrin Pilkey, in combating beach development. He has stood up to the rampant and unthinking commercial exploitation of the coastline and exposed the obfuscation of developers and politicians as well as the miscalculations of coastal engineers. He is a hero of the environmental movement in North Carolina and deserves a hearing, even with a book having a title as provocative as this one.

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Metadata

Venue
Choice Reviews Online
Published
2007-08-01
Volume
44
Issue
12
Pages
44-6814-44-6814
ISSN
  • 0009-4978 (ISSN-L)
  • 1523-8253
OpenAlex
W2755421633
Cited by
284
References
3
Type
book review
Language
en
Open access
closed

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CoChat. (2026). Citation check: Useless arithmetic: why environmental scientists can't predict the future. https://app.cochat.ai/papers/10.5860/choice.44-6814
The paper
Useless arithmetic: why environmental scientists can't predict the future. (2007). Choice Reviews Online. https://doi.org/10.5860/choice.44-6814

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.