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The problems with statistical data are still relevant today, and it is shocking to realize how contemporary many of his examples seem. The problems of bias, averaging, and confusing correlation with causation all dupe even the most well-educated people, and the advantage lies with the person who can spot fallacies and not be fooled. While learning statistics would be ideal, this book shows the first step towards understanding and critiquing statistical data. It is not longer or more complicated than it should be, and is simple to understand. Still, if you don't know how to evaluate some of the simple data that you come by every day in the news, this book will provide you with infinite wisdom.
The book gives a good jump start into the interpretation of data presentations. Now, when I see a "Gee-Whiz Graph" I immediately know that the fluctuations shown in the line or bars are magnified, and I begin at once to look for the real difference (base 0) in the data points.
This book is living proof that learning can be fun. I highly recommend it to anyone working with or beseiged by data presented as graphs, averages, trends or any other such means. It will open your eyes.
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This book discusses in easy to read "plain english" how to solve mortage and loan problems, as well as a large collection of general interest problems for the "typical" homeowner.
This is a fantastic book with at least a hundred different problems solved (everything from the true worth of college, to answering annuity questions). I recommend this for anyone who wants to know "How to figure it".
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The book was originally published in 1954. The many copious examples were current at the time of writing, but are extremely dated now. Depending on the readers attitude this may be distracting, or faintly amusing. The advanced age of the examples does not make the text any harder to understand.
While the examples are dated, the concepts appear to be timeless. The same statistical manipulations still seem to be going on nearly fifty years later. The Author covers a wide range of statistical errors, or abuse. All of the types of errors will be familiar to anyone who pays attention to the news, or has seen an advertisement that uses numbers.
How to Lie with Statistics gives the reader the knowledge to detect common statistical skulduggery. If this knowledge were more widely spread, perhaps advertisers, political spinmiesters and sloppy journalists would not be able to get away with that sort of abuse.