--- product_id: 2306522 title: "How to Lie with Statistics" price: "₱1858" currency: PHP in_stock: true reviews_count: 10 url: https://www.desertcart.ph/products/2306522-how-to-lie-with-statistics store_origin: PH region: Philippines --- # How to Lie with Statistics **Price:** ₱1858 **Availability:** ✅ In Stock ## Quick Answers - **What is this?** How to Lie with Statistics - **How much does it cost?** ₱1858 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.ph](https://www.desertcart.ph/products/2306522-how-to-lie-with-statistics) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description desertcart.com: How to Lie with Statistics: 9780393310726: Huff, Darrell, Geis, Irving: Books Review: A classic book of mathematics in plain language - There's a reason this book has been in print for 70 years--it's THAT GOOD. The statistics used may be a bit dated, but are no less effective for that. Every example is carefully chosen to show how numbers can be used to obscure, mislead, and otherwise lie. Best of all, there is a discussion of how to recognize misleading statistics versus honest ones. This book was in my high school math teacher's classroom, and has been in mine as well. Anybody can understand it; anybody can "talk back" to statistics. Even if you're not a big fan of math or numbers, this is an excellent book. Review: Influential book to me. - I'm a college student who had to buy this book for a math class. 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. With statistics, we see them everywhere and spewing from people's mouths constantly. But where do they come from and why are they unreliable and in what cases are they unreliable? Darrell Huff kind of hits all aspects of statistics, and is sure that he hasn't crossed his own lines of creating bias; throughout the book he addresses each side the story. What sides am I referring to? The statistician's point of view, whoever's hands it was transferred to thereafter, the media that project this news to viewers, and the viewers point of view. He does this all with such a sense of reliability, because he never fails to leave out an aspect that would undermine his conclusions. I found a lot of great information in this book, some that has reinforced my beliefs about statistics and others that have provided me with new views on information. With increasing amounts of information available, and that instant communication that allows us to share information faster, we need people to be reading more books like this so they avoid learning a bunch of value-less information from people who haven't "done their homework." Sometimes statistical deceit is unintentional, while other times it's deliberate. Huff examines each cases, and attempts to provide understanding to all of his readers as to how we can avoid this and the 5 questions we can ask ourselves when we approach information. If you've either: - Wondered about news information and how it's history has influenced citizens (and how it really still applies) - Needed refreshers on the importance of statistics as well as how to approach them - Struggled with reading statistics or producing statistics - Enjoyed being offered alternate perspectives on widely accepted practices like presenting information through statistics - Curious about where people get their information, and why they're quick to spew statistics like it's true knowledge THEN READ THIS BOOK! :) ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #21,398 in Books ( See Top 100 in Books ) #2 in Business Statistics #7 in Statistics (Books) #11 in Probability & Statistics (Books) | | Customer Reviews | 4.5 4.5 out of 5 stars (4,485) | | Dimensions | 5.5 x 0.4 x 8.2 inches | | Edition | Reissue | | ISBN-10 | 0393310728 | | ISBN-13 | 978-0393310726 | | Item Weight | 4.8 ounces | | Language | English | | Print length | 144 pages | | Publication date | October 17, 1993 | | Publisher | W. W. Norton & Company | ## Images ![How to Lie with Statistics - Image 1](https://m.media-amazon.com/images/I/71ASFP9sBXL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ A classic book of mathematics in plain language *by T***L on December 11, 2025* There's a reason this book has been in print for 70 years--it's THAT GOOD. The statistics used may be a bit dated, but are no less effective for that. Every example is carefully chosen to show how numbers can be used to obscure, mislead, and otherwise lie. Best of all, there is a discussion of how to recognize misleading statistics versus honest ones. This book was in my high school math teacher's classroom, and has been in mine as well. Anybody can understand it; anybody can "talk back" to statistics. Even if you're not a big fan of math or numbers, this is an excellent book. ### ⭐⭐⭐⭐⭐ Influential book to me. *by B***T on February 25, 2016* I'm a college student who had to buy this book for a math class. 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. With statistics, we see them everywhere and spewing from people's mouths constantly. But where do they come from and why are they unreliable and in what cases are they unreliable? Darrell Huff kind of hits all aspects of statistics, and is sure that he hasn't crossed his own lines of creating bias; throughout the book he addresses each side the story. What sides am I referring to? The statistician's point of view, whoever's hands it was transferred to thereafter, the media that project this news to viewers, and the viewers point of view. He does this all with such a sense of reliability, because he never fails to leave out an aspect that would undermine his conclusions. I found a lot of great information in this book, some that has reinforced my beliefs about statistics and others that have provided me with new views on information. With increasing amounts of information available, and that instant communication that allows us to share information faster, we need people to be reading more books like this so they avoid learning a bunch of value-less information from people who haven't "done their homework." Sometimes statistical deceit is unintentional, while other times it's deliberate. Huff examines each cases, and attempts to provide understanding to all of his readers as to how we can avoid this and the 5 questions we can ask ourselves when we approach information. If you've either: - Wondered about news information and how it's history has influenced citizens (and how it really still applies) - Needed refreshers on the importance of statistics as well as how to approach them - Struggled with reading statistics or producing statistics - Enjoyed being offered alternate perspectives on widely accepted practices like presenting information through statistics - Curious about where people get their information, and why they're quick to spew statistics like it's true knowledge THEN READ THIS BOOK! :) ### ⭐⭐⭐⭐ A Classic on Misuse of Statistics! *by A***A on December 6, 2011* "How to lie with Statistics" adds no more bewilderment to an already perplexing world of numbers. Author's advice is pretty simple and easy to comprehend for professionals and greenhorns alike. Darrell Huff avoids the wonkish stuff and instead builds his work around the common traps in the statistical world. Sometimes, these traps are intentionally deployed by the vested interests whereas a lot of times such pitfalls inadvertently sneak into the picture doing even more damage. One of the basic traps in statistics, according to Huff is the built-in sample bias (a sample is biased when a sample doesn't adequately represent the population from which it is drawn).There is no doubt that the outcome of a sampling study is as good as the sample it is based on and that determining a true random sample us an impossible scenario yet almost everyone claims to have found one. Huff asserts that observers need to be highly skeptical each time they look at research data since there is always a bias hidden somewhere. 'How to lie with Statistics' is an old-fashioned, honest manual (despite its name) on statistical artifices that has withstood the knocks of time and is still as pertinent as it was 60 years ago. The fact that it's a recommended book in some of the undergraduate statistics courses around the world is in itself a grand testimony to its relevance. I strongly recommend this book to those who have a tangential knowledge of statistics and those who work with data day in and day out and feel besotted by all the graphs, trends and averages. ## Frequently Bought Together - How to Lie with Statistics - Naked Statistics: Stripping the Dread from the Data - The Signal and the Noise: Why So Many Predictions Fail--but Some Don't --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.ph/products/2306522-how-to-lie-with-statistics](https://www.desertcart.ph/products/2306522-how-to-lie-with-statistics) --- *Product available on Desertcart Philippines* *Store origin: PH* *Last updated: 2026-05-16*