- Paperback: 400 pages
- Publisher: Island Press; First Paperback Edition edition (April 1, 2000)
- Language: English
- ISBN-10: 1559637765
- ISBN-13: 978-1559637763
- Product Dimensions: 6 x 0.7 x 9 inches
- Shipping Weight: 15.2 ounces
- Average Customer Review: 2 customer reviews
- Amazon Best Sellers Rank: #1,702,709 in Books (See Top 100 in Books)
Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.
To get the free app, enter your mobile phone number.
Prediction: Science, Decision Making, and the Future of Nature First Paperback Edition Edition
Use the Amazon App to scan ISBNs and compare prices.
The Amazon Book Review
Author interviews, book reviews, editors picks, and more. Read it now
Customers who bought this item also bought
Discover books for all types of engineers, auto enthusiasts, and much more. Learn more
Top customer reviews
The book does not provide a simple or casual look at the subject of predictions. The essays are somewhat technical in nature, and are written in a style that assumes the reader has at least some training in, or experience with, science and the scientific method. But, the overall quality of the essays is good and makes it worth the reader's effort to work his or her way through the technical details. Whether or not you agree with the arguments and conclusions about scientific predictions presented by the authors of the various essays, they raise important questions about the nature of predictions, identify significant limits to predictions, make many interesting observations about the use and misuse of predictions in various fields, and point out the need for a thoughtful approach to understanding and applying scientific predictions.
This book is worth reading by scientific professionals interested in the process of making scientific predictions, as well as elected officials, government personnel, and concerned citizens wanting to be better informed about how to understand and evaluate predictions made in connection with public policy issues.