If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. It has been reprinted at least thirty-six times according to my copy of the book. I felt it has added another layer to my critical thinking skills and set myself apart from those who panic at daily news. Maybe I was just following the instructions because the books said so or doing things this way will bring me marks in the exam. Huff noted that many statistical term has a loose meaning, this loose meaning can present a misrepresentation, whether unintentionally or iStatistics are not safe from interpretation, statisticians interpretations may not be the same as what the public understands or defines certain things. How do they do that? How to Lie With Statistics is a 65-year-old book that can be read in an hour and will teach you more practical information you can use every … It - statistical fooleries - still is surprisingly common and many examples can be observed in plenty of political campaigns and news outlets. There I've got everyone's complaint out of the way.
(Before Excel) statistics were presented more often with illustrations rather than bar graphs and pie charts, which would just be weird now since it's so easy to prepare graphs in Excel. We had a list of books to choose from and I chose this because it seemed to be one of those interesting debunking type writing pieces that give an alternate perspective on something so commonly followed.For anyone looking to better understand the tricks used by the media and marketing professionals, this is a great resource.
Maybe even more than your previous drugs. A potential answer is found in the pages of this short book written more than sixty years earlier by Darrell Huff and charmingly (if whimsically) illustrated by Irving Geis. Did you ever wonder why health officials are constantly touting "statistics," but never explaining what those numbers mean in REAL numbers that tell you your risk of dying from a certain disease, or catching something else? It’s still relevant today; math and people don’t change. That by itself can explain the higher incidence of cancer. Just bought it again since my consulting involves use of statistics, and reference to its usefulness and potential problems with clients. Entertains, informs & kind of shakes your faith in the good old, "87% of people studied (some small print) prefer So & So's deep fried Raisins for improved memory function".
It is also an easy read that can be easily finished in one day of concentrated effort.Recommended by both Jamie S. Z. and my Statistical Foundations professor.
The book aims to equip reader to navigate through these numbers and percentage, to analyze and have a second thought before arriving in any conclusion, in order not to fall into the trap of the manipulation.
Just sum up the numbers, divide by their number and get the average or arrange them in increasing order, take the number in the middle - what they meant even.
A short book that everyone should read.Very nice book on the most common statistical illusions present when loose statistics are presented in the media. No review or article may be copied or reprinted without permission except for a single copy of a review made for temporary use AND not shared with others. It taught me how difficult and expensive it is to really probe truth, for there are biases that exist everywhere. It also analyzes reviews to verify trustworthiness.This page works best with JavaScript. The author outlines a very healthy skeptical .. It is also an easy read that can be easily finished in one day of concentrated effort.This book was published in 1954 and some of the examples are dated but the principles it puts forth are still valid today--if not more so than ever--and the material is delivered in clear, concise, and even entertaining anecdotes and illustrations.
Traveling around India, Malaysia and Indonesia, I completed this short book. Then you can measure how long it takes to get better in each.Since the samples are small, normal variation will likely give you a group that, by chance, healed quicker.Another issue of comparing statistics across countries or times and, in general, in real life, is that of intervening factors that it’s difficult to account for.For example, one study once linked milk to cancer because countries that consumed more milk had a higher incidence of cancer than countries with low milk consumption.Darrell Huff explains that countries with more milk consumption were also richer and lived longer.
Some of the negative reviews state it's dated, and the examples are.
As a professional in the data and analytics field I’m very aware of all of these tricks, but reading this felt like I was listening to a condescending know-it-all rambling on without end. But you can prove that it kills thousands of germs.
The psychobabble and physics envy element of the specialist phenomenon reflects the statistical envy of the non-specialists.
But that misses the point.
It doesn't require a very deep knowledge of maths or statistics, so it is ideal if you are just looking to get a useful intuition on how popular statistical reporting typically works and where it fails.I didn’t realize at first that this book was written in 1954.
The election went the other way.
This book reviews some common ways such data can (and is) be misrepresented, and encourages a healthy skepticism. Even if you’ve already studied statistics, it’s a good refresher to see how they’re used in everyday media.I still wonder why Trigonometry and Calculus are offered in high school, but Statistics is not.
Its still as relevant today as it was when it was written just replace magazine/Newspaper with Webpage/blog add a few zeros to the number examples and your good.An easy and quick read about how to protect yourself against misleading statistics and visualizations! However, competence can rarely be duped without a dupe-able audience, so to speak. Books like these will not give shortcuts to climbing a corporate ladder or increase salaries overnight; what it enforces is something more subtle: peace of mind in a society where almost any kind of information can be churned out from the huge troves of databases.Statistics are not safe from interpretation, statisticians interpretations may not be the same as what the public understands or defines certain things.
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