In "Noise: Lies, Damned Lies, and Denial of Global Warming" statistician Grant Foster shows how the manipulation of figures can be used to mislead the average person about global climate change. Using clear, plain language that can easily be understood by anyone, regardless of math grades, Foster arms the reader with the critical thinking skills necessary to help discern the signal of fact from the noise of misinformation.
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By james
Aug 2, 2010
This is a terrific little book. It is a very easy and enjoyable book to read. I'm not the world's greatest mathematician, so I was a little concerned that I'd get stuck on the statistics, but I needn't have worried. I now feel that I understand the basic tools used in climate data analysis (things like finding significance in trends and moving averages). It is great to be able to use this understanding in debate. I also like the way Foster writes. His wry style is summed up neatly by the double meaning of the title. I recommend this book to anyone who wants to understand some of the ways in which those with an agenda have tried to hide the science behind climate change.
Perfectly written, clear as a bell and full of stuff people need to start thinking about. This is not a book for one side or the other on the issue of climate change. It's about how to think critically about it. Really awesome book.
Noise: Lies, Damned Lies, and Denial of Global Warming by statistician Grant Foster should be an essential part of everyone's climate change library. It is a powerful weapon! Grant Foster is a genius at delivering complex statistics to the average person. He explains the statistics (without using equations!) in a writing style that is far more typical of a liberal arts professor or a high school teacher than that of a world-class mathematician. At 120 pages, it is a quick read and it fits in one's back pocket. Armed with the helpful information in this handy guide, any person will be able to shoot down the BS from those that try to mislead with bad analyses. Grant Foster shows the ways these fraudsters are trying to trick unwitting persons with cherry-picked data and outright lies while at the same time, he shows the reader how to look at data the correct way.
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