| | While some of the examples are dated, ''How to Lie With Statistics'' has been remained bestseller in its field, with over a half-million copies of the English language version sold, and it has been translated into numerous foreign languages.<ref>http://www-stat.wharton.upenn.edu/~steele/Publications/PDF/TN148.pdf</ref> | | While some of the examples are dated, ''How to Lie With Statistics'' has been remained bestseller in its field, with over a half-million copies of the English language version sold, and it has been translated into numerous foreign languages.<ref>http://www-stat.wharton.upenn.edu/~steele/Publications/PDF/TN148.pdf</ref> |
| − | The author, [[Darrell Huff]], was not as interested in writing a textbook in statistical technique as he was in examining how statistics can be used to persuade and influence. Statistics are rarely used to provide objective facts to a reader, he contends, but are instead used to persuade. "The secret language of statistics, so appealing in a fact-minded culture, is employed to sensationalize, inflate, confuse, and oversimplify," warns Huff.<ref>http://www.amazon.com/How-Lie-Statistics-Darrell-Huff/dp/0393310728</ref> His purpose in writing the book is to highlight the manipulative potential in presented statistics, and to equip his readers with a basic level of statistical literacy to allow them to interpret statistics instead of accepting them blindly. | + | The author, [[Darrell Huff]], was not as interested in writing a textbook in statistical technique as he was in examining how statistics can be used to persuade and influence. Statistics are rarely used to provide objective facts to a reader, he contends, but are instead used to persuade. "The secret language of statistics, so appealing in a fact-minded culture, is employed to sensationalize, inflate, confuse, and oversimplify," warns Huff.<ref>https://www.amazon.com/How-Lie-Statistics-Darrell-Huff/dp/0393310728</ref> His purpose in writing the book is to highlight the manipulative potential in presented statistics, and to equip his readers with a basic level of statistical literacy to allow them to interpret statistics instead of accepting them blindly. |
| | The value of this of the book for learning critical thinking can be summarized by the last chapter, "How to Talk Back to a Statistic", where Huff presents five questions anyone should ask when presented with a statistical "fact": | | The value of this of the book for learning critical thinking can be summarized by the last chapter, "How to Talk Back to a Statistic", where Huff presents five questions anyone should ask when presented with a statistical "fact": |