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- Book Details
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- Paperback 242 Pages
- ISBN-10: 0739462563
- ISBN-13: 9780739462560
- Publisher: HarperCollins Publishers
- Pub date: Jan 01, 2005
- Dimensions: 20 cm x 13 cm x 2 cm Just how big is that?
- Also available as: Paperback, Hardcover, Audio CD and Others
- In other languages:

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Two quotes from the last chapter:
"The most likely result of having read this book is a simple one: you may find yourself asking a lot of questions. Many of them will lead to nothing. But some will produce answers that are interesting, even surprising."
"You might become more skeptical o ... Continue
Two quotes from the last chapter:
"The most likely result of having read this book is a simple one: you may find yourself asking a lot of questions. Many of them will lead to nothing. But some will produce answers that are interesting, even surprising."
"You might become more skeptical of the conventional wisdom; you may begin looking for hints as to why things aren't quite what they seem; perhaps you will seek out some trove of data and sift through it, balancing your intelligence and your intuition to arrive at a glimmering new idea"
Reminded me that (1) correlation doesn't equal causation and (2) just because a piece of data is measurable, that doesn't mean it is the right thing to measure.
Interesting application of economic theory to things that it would not seem to apply to. He makes a few pretty wild leaps to conclusions that are interesting but probably not terribly accurate.
Mom got me this for Christmas. I had read so much about it on the economics blogs (Marginal Revolution and the like) that I had to get it. It did not disappoint, a fun read.
In local public library.
The authors in this book use statistical means to explain some very weird questions (which always turn out very meaningful)
Conventional wisdom when is tested under the rigor of statistics sometimes shows very surprising conclusion.
Finally, it's always good to remember the difference be ... Continue
The authors in this book use statistical means to explain some very weird questions (which always turn out very meaningful)
Conventional wisdom when is tested under the rigor of statistics sometimes shows very surprising conclusion.
Finally, it's always good to remember the difference between casuality and correlation in this complicated world.