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Topic: How to Lie with Statistics

	Understanding Statistics [Lecture]
		II. Because statistics figure into many political battles about the environment, it is essential that citizens understand how to use statistics to inform themselves.
		Suppose that you are an environmentalist and you want to know how many spotted owls are in a national forest that is 100 square miles.
		But if you carefully choose several smaller plots (say 1 mile square) in the forest, and count the number of owls in those plots, and if you assume that the proportion of owls per square mile are the same throughout the forest, you can estimate the total number of owls.
	www.rci.rutgers.edu /~hallman/STATS.htm (3139 words)

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	>☞ Buy cheapest How to Lie With Statistics How to Lie With Statistics in » Books (Site not responding. Last check: 2007-11-05)
		Huff sought to break through 'the daze that follows the collision of statistics with the human mind' with this slim volume, first published in 1954.
		Statistics are rife with opportunities for misuse, from 'gee-whiz graphs' that add nonexistent drama to trends, to 'results' detached from their method and meaning, to statistics' ultimate bugaboo--faulty cause-and-effect reasoning.
		Twain, statistics really are important, so having this book to understand some of these techniques is vital.
	www.myfinanceaid.com /how-to-lie-with-statistics,0393310728_i.htm (1386 words)

	How to Lie with fMRI Statistics (Site not responding. Last check: 2007-11-05)
		fMRI Statistics provide another means by which "lie" to produce misleading data, often unintentionally, and it's essential that readers be aware of some of the pitfalls both when producing and consuming neuroimaging data.
		How they get grouped depends strongly on the software's criteria or the experimenter's judgment and the threshold employed..
		Additional statistical inflation can occur because our assumption that each time point is independent of every other time point is not really true so true statistics need to factor out the "autocorrelation".
	defiant.ssc.uwo.ca /Jody_web/fMRI4Dummies/how2liewithfMRIstats.htm (1713 words)

	Amazon.ca: Books: How to Lie with Statistics (Site not responding. Last check: 2007-11-05)
		How to Lie with Statistics is a fun and informative look at the was in which statisticians try to decieve the public with misleading statistics.
		How to Lie with Statistics is perfect for the beginning statistics student or anyone who wants to learn how they can be decieved through the manipulation of numbers.
		How to Lie with Statistics, by Darrel Huff, should be required reading for everyone.
	www.amazon.ca /exec/obidos/ASIN/0393310728 (1098 words)

	Neuroscience for Kids - Statistics
		Rather, I hope you will learn how it is possible to be misled and how to spot "statistical abuse." You can find poor use of statistics everywhere...magazines, newspapers, polls, TV, even research papers.
		The number of people or number of trials in an experiment that are needed to give you an accurate estimate of the population is dependent on several variables.
		Darrell Huff, How to Lie with Statistics, W.W. Norton & Co., New York, 1954 (reissued in 1982 and 1993).
	faculty.washington.edu /chudler/stat3.html (1360 words)

	Contemporary Legends - How To Lie With Statistics I (Site not responding. Last check: 2007-11-05)
		The average person can't help but wonder who to trust, how to know whether or not the recommendations their doctors are making are based on valid science or drug company hype.
		Notwithstanding the known problems with under-reporting of adverse drug events and the fact that the vaccine manufacturers control the research agenda, however, beyond Christine's salient point lies a more insidious problem, that is, how statistics, accurate or not, are represented.
		For instance, one tricky way in which the risks of vaccination can be incorrectly estimated is by using the number of doses of vaccine which appear to result in injury or death, rather than the number of children that are administered however many doses it takes to injure or kill them.
	www.vaccinationnews.com /Scandals/Aug_9_02/Scandal28.htm (948 words)

	SAHSU: How to Lie with Statistics
		It derives from misapplication of a statistical method developed by the Victorian mathematician, the Reverend Thomas Bayes.
		Bayes' technique allowed statistics to be used to analyse situations in which nothing was known but where new information could be added on to modify an initial guess or "prior estimate".
		Bayes' statistics is currently in vogue because of its application to teaching robots to learn from experience.
	www.llrc.org /rat/subrat/rat3210.htm (974 words)

	How to Lie with Statistics (Site not responding. Last check: 2007-11-05)
		Suppose we lived in a world where all drivers were equally capable of driving and equally capable of avoiding accidents and tickets.
		So when he tells the CEO that he has checked out this possibility, and as far as he can tell, the connection is not all due to mileage, he's right according to his numbers, but wrong according to the world.
		This is probably the simplest statistics foolery that makes tickets look like they mean something that they don't.
	www.ibiblio.org /rdu/a-liestt.html (600 words)

	'How to lie with statistics'
		Here Huff explains "how to look a phoney statistic in the eye and face it down; and no less important, how to recognize sound and usable data in [the] wilderness of fraud".
		If you know how something is changing over some short time period, you can make the situation seem much more extreme by projecting the trend into the future and coming up with some headline-grabbing prediction.
		"How to lie with statistics" is entertainingly illustrated with original cartoons, and written in a clear and easy style (Huff was a professional author who had done postgraduate work in statistics, rather than a professional statistician trying to preach to the non-numerate).
	plus.maths.org /issue30/reviews/book4 (410 words)

	001E-How to Lie with Statistics (Site not responding. Last check: 2007-11-05)
		Such instruction should lead to the awareness by students that crucial information for interpretation of data is often missing, so that there are risks in relying on typical forms of data presentation for important societal decisions.
		Finally, the course should hone the skills of students in understanding how to present data and, importantly, how to interpret the conclusions offered by researchers and journalists.
		The text used for the course will be the classic text "How to Lie with Statistics," written by Gerald Huff.
	trc.ucdavis.edu /trc/freshSem/fall03/widaman_keith.html (561 words)

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		How To Lie With Stats Darrel Huff Summary
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	» How to Lie With Charts
		This book is less about how to use charts to lie and more about how to arm yourself so that others can't lie to you.
		It is filled with humorous, yet all-too-real-life examples of how each of the most commonly used charts and graphs (bar, line, pie, etc.) can \and has been used to deceive people - to lead them to conclusions that just aren't supported by the data.
		How to Lie with Charts teaches you to create a slide show worth watching and how to spot one worth watching out for.
	www.mathreading.com /Shop/How-to-Lie-With-Charts/1583487670 (1627 words)

	How to Lie with Statistics
		It would be fantastic required reading at the high school level, as it shows exactly where and how those statistics can be presented in such a manner as to make one's case stronger than it really is. It's also a fun and easy read.
		Rather, it is aimed at high school students and members of the general public who want to be on their guard against being manipulated by advertising and "studies".
		The last chapter ("How to talk back to a Statistic") should be required reading for anyone who reads a newspaper or an advertisement.
	www.uni-protokolle.de /buecher/isbn/0393310728 (764 words)

	National Review: How to lie with statistics
		For whatever reasons (the cause is not important to the question of what is wrong with Greenstein's argument), the average number of children in welfare families did drop during the 1970s.
		Children as a unit of aggregation was not only a non-intuitive choice for the statistic to back up Greenstein's point, it was a misleading one.
		In choosing starting and stopping points for a statistical comparison over a number of years the best reasons for picking one time instead of another are substantive ones, whereby the end points coincide with events that might explain the numbers in some way.
	www.findarticles.com /p/articles/mi_m1282/is_v38/ai_4148026 (1340 words)

	How to Lie With Statistics: Current Amazon U.S.A. One-Edition Data (Site not responding. Last check: 2007-11-05)
		How to Lie with Statistics by Darrell Huff gives an explanation of common statistical errors.
		How to Lie with Statistics gives the reader the knowledge to detect common statistical skulduggery.
		Although "How to Lie with Statistics" is a bit dated (having been written in the 1950's), the principles it puts forth are still valid today--if not moreso than ever--and the material is delivered in clear, concise, and even entertaining anecdotes and illustrations.
	www.equuscommercialfinance.com /books-reviewed/0393310728.html (2155 words)

	» How to Lie With Statistics
		Part of the point of the recommendation was to understand how seemingly irrefutable metrics can be used to persuade, mislead, and worse - support forgone conclusions.
		It teaches how numbers can misrepresent, how to spot when that is occuring, and how to garner the real information the numbers might be telling you.
		Comment: A more appropriate title would be, "Self defense against people lying with charts and statistics" This book is a great light primer on ways others can manipulate statistics to use against you.
	www.mathreading.com /Shop/How-to-Lie-With-Statistics/0393310728 (1291 words)

	How to Lie With Statistics (Site not responding. Last check: 2007-11-05)
		How to Lie With Statistics Review: This book was recommended to me, tangentially, on the subject of 'software engineering project management metrics'.
		How to Lie With Statistics Review: If you were paying attention in school, you don't need to read this.
		Fortunately, the author knows that a lot of people were not paying attention to the long and boring classes that tried to teach us complex math we would never use.
	www.textkit.com /0_0393310728.html (752 words)

	How To Lie With Statistics - by Darrell Huff (Site not responding. Last check: 2007-11-05)
		How to Lie With Statistics, by Darrell Huff, is the best book ever written.
		How To Lie With Statistics - by Darrell Huff (goes directly to this book).
		Statistical Tricks and Traps - by Ennis C. Almer.
	www.jimloy.com /books/howtolie.htm (325 words)

	Capitalism Magazine: How to Lie with Non-Statistics by Thomas Sowell
		What makes their statistical lies so dangerous today is that so many people in the media are ready to accept and broadcast statistics turned out by activist groups with an axe to grind -- when those groups share the liberal-left orientation of the media.
		Considering how many millions of dollars the TV networks pay their anchormen, surely they could spare a few bucks to hire some professional statisticians to examine the statistics that are constantly being turned out by activists, before broadcasting them as "facts." But don't hold your breath waiting for the networks to become responsible.
		Perhaps the greatest distortions of statistics involve comparisons between "the rich" and "the poor" -- who are mostly the same people at different stages of their lives.
	www.capmag.com /articlePrint.asp?ID=982 (755 words)

	Blog Entry "How to lie with Statistics" from IA? EH.
		Blog Entry "How to lie with Statistics" from IA? EH.
		I was reminded of this book the other day at lunch, when a peer spoke of ways to manipulate charts to make a point.
		It's a playful book, full of cartoons and wink-wink you-would-never-do-this moments teaching you how to lie or spot lies built of data.
	www.eleganthack.com /archives/how_to_lie_with_statistics.php (216 words)

	How to Lie With Statistics (Site not responding. Last check: 2007-11-05)
		His real life perspective on the statistics we rely on and how they can mislead is for anyone interested in gaining a more accurate view of their world.
		By exposing the tricks of the trade, How to Lie with Charts shows you how to create effective, truthful presentations and how to spot deceptive ones.
		According to sociologist Joel Best, the vast majority of people are naive (yes, you too probably suffer from a mild case of innumeracy), and the result is mutant statistics, guesswork, and poor policy decisions.
	www.enotalone.com /books/0393310728.html (1531 words)

	Meep's Book Reviews: How to Lie With Statistics (Site not responding. Last check: 2007-11-05)
		My own theory would be that the =type= of person who is given to smoking is also given to not doing well in school; instead of cause and effect, one has a correlation from a shared, third (and unnamed) cause.
		Some of the figures and examples used are funny due to their datedness (I love the picture of the surveyor asking a doctor what brand of cigarette he smokes, and the cigar-smoking baby just makes me smirk).
		Of course, once you talk back to statistics people may think you're crazy; at least you won't be fleeced by false reasoning.
	www.marypat.org /reviews/statslie.html (416 words)

	Re: Architecture Salaries: how to lie with statistics - Architecture Forum
		Unless valid statistical methods are incorporated into the surveys, they may be somewhat misleading, leading to conclusions that salaries are somewhat higher than they actually are.
		I once read a book entitled "How to Lie With Statistics" which told how polsters can be misleading.
		If we do the same survey next year and 2 people say they are underpaid, we could honestly and factually state that the number of underpaid people increased by one hundred percent; it is also factual that the number that should be reported for comparison purposes is 20 percent (2 out of 10).
	www.designcommunity.com /discussion/16069.html (321 words)

	SocialTwister.com: How To Lie With Statistics - Real World Example (Site not responding. Last check: 2007-11-05)
		When I was in college, I was forced to take a number of statistics classes towards my degree.
		Many years later when I formed Metricals and was dealing with statistics on a daily basis, the truth was no more apparent.
		I had found a great book, "How to Lie With Statistics" for my partners to get a quick primer on what the "business" end was like.
	socialtwister.com /archives/000508.html (481 words)

	How to Lie With Statistics
		How to Lie With Statistics by Darrell Huff
		Not a day goes by that most of us aren't presented with a graph, or a chart, or a poll by either a politician, a salesman or a newscaster - these all purport to tell us one thing, but on closer inspection many turn out to do nothing of the sort.
		If you too want to learn how John-Boy Walton's television performance causes cancer in rats, and how to 'prove' it, then this is the book for you.
	www.solohq.org /Spirit/Books/87.shtml (187 words)

	Powell's Books - How To Lie With Maps 2ND Edition by Mark S Monmonier
		To show how maps distort, Monmonier introduces basic principles of mapmaking, gives entertaining examples of the misuse of maps in situations from zoning disputes to census reports, and covers all the typical kinds of distortions from deliberate oversimplifications to the misleading use of color.
		"Professor Monmonier himself knows how to gain our attention; it is not in fact the lies in maps but their truth, if always approximate and incomplete, that he wants us to admire and use, even to draw for ourselves on the facile screen.
		It shows how map makers translate abstract data into eye-catching cartograms, as they are called.
	www.powells.com /cgi-bin/biblio?inkey=4-0226534219-0 (592 words)

	Amazon.co.uk: Books: How to Lie with Statistics (Penguin Business) (Site not responding. Last check: 2007-11-05)
		"A sort of primer in ways to use statistics to deceive", this book introduces the reader to the niceties of samples (random or stratified random), averages (mean, median or modal), errors (probable, standard or unintentional), graphs, indexes and other tools of democratic persuasion.
		There are plenty of lessons about how we should interpret the numbers we come across every day in adverts and (potentialy biased) news reports and there is nobody living in the developed world who can't benefit from the enlightenment that this brings.
		The only disappointing aspect of this book is that it's so short, an accomplished reader with some knowledge of statistics could get through the book in a single (if lengthy) sitting.
	www.amazon.co.uk /exec/obidos/ASIN/0140136290 (732 words)

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