
How to Lie with Statistics
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Narrado por:
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Bryan DePuy
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De:
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Darrell Huff
Now available in audio for the first time!
Darrell Huff's celebrated classic How to Lie With Statistics is a straightforward and engaging guide to understanding the manipulation and misrepresentation of information that could be lurking behind every graph, chart, and infographic. Originally published in 1954, it remains as relevant and necessary as ever in our digital world, where information is king - and as easy to distort and manipulate as it is to access.
A precursor to modern popular science books like Steven D. Levitt's Freakonomics and Malcolm Gladwell's Outliers, Huff runs the gamut of every popularly used type of statistic; probes such things as the sample study, the tabulation method, the interview technique, and the way the results are derived from the figures; and points up the countless number of dodges that are used to full rather than to inform. Critically acclaimed by media outlets like The New York Times and The Wall Street Journal and recommended by Bill Gates as a perfect beach listen, How to Lie With Statistics stands as the go-to book for understanding the use of statistics by teachers and leaders everywhere.
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What I like about the book is that it's a treasure trove of great information that can be applied to real life. Older books tend to be a little more bearable, in my opinion, because they are free of the fallacy of having to read out website links like most book made after the year 2000.
My only dislike stems from my replaying of certain parts because it's filled with so much statistical information that if you miss a number, you can't deduce the point he was trying to convey. This wouldn't be a problem for someone who is listening at home doing nothing. But for most audible listeners who must likely are driving or doing something else, It's very hard to focus on those parts.
Overall I give it a 4.7.
No longer deceived
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EVERYTHING IVE TOLD IS A LIE
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Written in 1954!
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nothing is new under the sun.
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Great book!
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Fantastic and Enlightening
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Very Interesting
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Dated
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This book pointed out some extremely important observations about statistics and their use in society. The book itself is quite old – 1950s, and it really could stand to be rewritten with more modern examples: the idea of $15,000 a year being a huge salary and about $4 a week being sufficient for survival is ludicrous! Even still, pointing out the importance of sample size, consistent graphs, complete definitions of "average", etc. is definitely a good reminder at least! The examples may be dated, but they still succeed in exhibiting the great lies and misrepresentations that are possible – and practiced – by advertisers, science, and the news! Little in the book was previously unknown to me, but it was good to have it all condensed in one book. I still wouldn't mind if it were rewritten with more modern times in mind.
Dated but valid!
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Timely For 2020 If Not Timeless in Essential Value
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