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University of California Press
Damned Lies and Statistics

Damned Lies and Statistics

by Joel BestJoel Best
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Here, by popular demand, is the updated edition to Joel Best's classic guide to understanding how numbers can confuse us. In his new afterword, Best uses examples from recent policy debates to reflect on the challenges to improving statistical literacy. Since its publication ten years ago, Damned Lies and Statistics has emerged as the go-to handbook for spotting bad statistics and learning to think critically about these influential numbers.

Product Details

ISBN-13: 9780520274709
Publisher: University of California Press
Publication date: 03/12/2018
Edition description: First Edition, Updated Edition
Pages: 224
Product dimensions: 5.70(w) x 8.10(h) x 1.00(d)

About the Author

Joel Best is Professor of Sociology and Criminal Justice at the University of Delaware. His many books include Everyone’s A Winner: Life in Our Congratulatory Culture and Stat-Spotting: A Field Guide to Dubious Data, both from UC Press.

Read an Excerpt

Damned Lies and Statistics

Untangling Numbers from the Media, Politicians, and Activists

By Joel Best


Copyright © 2012 The Regents of the University of California
All rights reserved.
ISBN: 978-0-520-27470-9



Nineteenth-century Americans worried about prostitution; reformers called it "the social evil" and warned that many women prostituted themselves. How many? For New York City alone, there were dozens of estimates: in 1833, for instance, reformers published a report declaring that there were "not less than 10,000" prostitutes in New York (equivalent to about 10 percent of the city's female population); in 1866, New York's Methodist bishop claimed there were more prostitutes (11,000 to 12,000) than Methodists in the city; other estimates for the period ranged as high as 50,000. These reformers hoped that their reports of widespread prostitution would prod the authorities to act, but city officials' most common response was to challenge the reformers' numbers. Various investigations by the police and grand juries produced their own, much lower estimates; for instance, one 1872 police report counted only 1,223 prostitutes (by that time, New York's population included nearly half a million females). Historians see a clear pattern in these cycles of competing statistics: ministers and reformers "tended to inflate statistics"; while "police officials tended to underestimate prostitution."

Antiprostitution reformers tried to use big numbers to arouse public outrage. Big numbers meant there was a big problem: if New York had tens of thousands of prostitutes, something ought to be done. In response, the police countered that there were relatively few prostitutes—an indication that they were doing a good job. These dueling statistics resemble other, more recent debates. During Ronald Reagan's presidency, for example, activists claimed that three million Americans were homeless, while the Reagan administration insisted that the actual number of homeless people was closer to 300,000, one-tenth what the activists claimed. In other words, homeless activists argued that homelessness was a big problem that demanded additional government social programs, while the administration argued new programs were not needed to deal with what was actually a much smaller, more manageable problem. Each side presented statistics that justified its policy recommendations, and each criticized the other's numbers. The activists ridiculed the administration's figures as an attempt to cover up a large, visible problem, while the adminstration insisted that the activists' numbers were unrealistic exaggerations.

Statistics, then, can become weapons in political struggles over social problems and social policy. Advocates of different positions use numbers to make their points ("It's a big problem!" "No, it's not!"). And, as the example of nineteenth-century estimates of prostitution reminds us, statistics have been used as weapons for some time.


In fact, the first "statistics" were meant to influence debates over social issues. The term acquired its modern meaning—numeric evidence—in the 1830s, around the time that New York reformers estimated that the city had 10,000 prostitutes. The forerunner of statistics was called "political arithmetic"; these studies—mostly attempts to calculate population size and life expectancy—emerged in seventeenth-century Europe, particularly in England and France. Analysts tried to count births, deaths, and marriages because they believed that a growing population was evidence of a healthy state; those who conducted such numeric studies—as well as other, nonquantitative analyses of social and political prosperity—came to be called statists. Over time, the statists' social research led to the new term for quantitative evidence: statistics.

Early social researchers believed that information about society could help governments devise wise policies. They were well aware of the scientific developments of their day and, like other scientists, they came to value accuracy and objectivity. Counting—quantifying—offered a way of making their studies more precise, and let them concisely summarize lots of information. Over time, social research became less theoretical and more quantitative. As the researchers collected and analyzed their data, they began to see patterns. From year to year, they discovered, the numbers of births, deaths, and even marriages remained relatively stable; this stability suggested that social arrangements had an underlying order, that what happened in a society depended on more than simply its government's recent actions, and analysts began paying more attention to underlying social conditions.

By the beginning of the nineteenth century, the social order seemed especially threatened: cities were larger than ever before; economies were beginning to industrialize; and revolutions in America and France had made it clear that political stability could not be taken for granted. The need for information, for facts that could guide social policy, was greater than ever before. A variety of government agencies began collecting and publishing statistics: the United States and several European countries began conducting regular censuses to collect population statistics; courts, prisons, and police began keeping track of the numbers of crimes and criminals; physicians kept records of patients; educators counted students; and so on. Scholars organized statistical societies to share the results of their studies and to discuss the best methods for gathering and interpreting statistics. And reformers who sought to confront the nineteenth-century's many social problems—the impoverished and the diseased, the fallen woman and the child laborer, the factory workforce and dispossessed agricultural labor—found statistics useful in demonstrating the extent and severity of suffering. Statistics gave both government officials and reformers hard evidence—proof that what they said was true. Numbers offered a kind of precision: instead of talking about prostitution as a vaguely defined problem, reformers began to make specific, numeric claims (for example, that New York had 10,000 prostitutes).

During the nineteenth century, then, statistics—numeric statements about social life—became an authoritative way to describe social problems. There was growing respect for science, and statistics offered a way to bring the authority of science to debates about social policy. In fact, this had been the main goal of the first statisticians—they wanted to study society through counting and use the resulting numbers to influence social policy. They succeeded; statistics gained widespread acceptance as the best way to measure social problems. Today, statistics continue to play a central role in our efforts to understand these problems. But, beginning in the nineteenth century and continuing through today, social statistics have had two purposes, one public, the other often hidden. Their public purpose is to give an accurate, true description of society. But people also use statistics to support particular views about social problems. Numbers are created and repeated because they supply ammunition for political struggles, and this political purpose is often hidden behind assertions that numbers, simply because they are numbers, must be correct. People use statistics to support particular points of view, and it is naive simply to accept numbers as accurate, without examining who is using them and why.


We tend to think of social problems as harsh realities, like gravity or earthquakes, that exist completely independent of human action. But the very term reveals that this is incorrect: social problems are products of what people do.

This is true in two senses. First, we picture social problems as snarls or flaws in the social fabric. Social problems have their causes in society's arrangements; when some women turn to prostitution or some individuals have no homes, we assume that society has failed (although we may disagree over whether that failure involves not providing enough jobs, or not giving children proper moral instruction, or something else). Most people understand that social problems are social in this sense.

But there is a second reason social problems are social. Someone has to bring these problems to our attention, to give them names, describe their causes and characteristics, and so on. Sociologists speak of social problems being "constructed"—that is, created or assembled through the actions of activists, officials, the news media, and other people who draw attention to particular problems. "Social problem" is a label we give to some social conditions, and it is that label that turns a condition we take for granted into something we consider troubling. This means that the processes of identifying and publicizing social problems are important. When we start thinking of prostitution or homelessness as a social problem, we are responding to campaigns by reformers who seek to arouse our concern about the issue.

The creation of a new social problem can be seen as a sort of public drama, a play featuring a fairly standard cast of characters. Often, the leading roles are played by social activists—individuals dedicated to promoting a cause, to making others aware of the problem. Activists draw attention to new social problems by holding protest demonstrations, attracting media coverage, recruiting new members to their cause, lobbying officials to do something about the situation, and so on. They are the most obvious, the most visible participants in creating awareness of social problems.

Successful activists attract support from others. The mass media —including both the press (reporters for newspapers or television news programs) and entertainment media (such as television talk shows)—relay activists' claims to the general public. Reporters often find it easy to turn those claims into interesting news stories; after all, a new social problem is a fresh topic, and it may affect lots of people, pose dramatic threats, and lead to proposals to change the lives of those involved. Media coverage, especially sympathetic coverage, can make millions of people aware of and concerned about a social problem. Activists need the media to provide that coverage, just as the media depend on activists and other sources for news to report.

Often activists also enlist the support of experts—doctors, scientists, economists, and so on—who presumably have special qualifications to talk about the causes and consequences of some social problem. Experts may have done research on the problem and can report their findings. Activists use experts to make claims about social problems seem authoritative, and the mass media often rely on experts' testimonies to make news stories about a new problem seem more convincing. In turn, experts enjoy the respectful attention they receive from activists and the media.

Not all social problems are promoted by struggling, independent activists; creating new social problems is sometimes the work of powerful organizations and institutions. Government officials who promote problems range from prominent politicians trying to arouse concern in order to create election campaign issues, to anonymous bureaucrats proposing that their agencies' programs be expanded to solve some social problem. And businesses, foundations, and other private organizations sometimes have their own reasons to promote particular social issues. Public and private organizations usually command the resources needed to organize effective campaigns to create social problems. They can afford to hire experts to conduct research, to sponsor and encourage activists, and to publicize their causes in ways that attract media attention.

In other words, when we become aware of—and start to worry about—some new social problem, our concern is usually the result of efforts by some combination of problem promoters—activists, reporters, experts, officials, or private organizations—who have worked to create the sense that this is an important problem, one that deserves our attention. In this sense, people deliberately construct social problems.*

Efforts to create or promote social problems, particularly when they begin to attract attention, may inspire opposition. Sometimes this involves officials responding to critics by defending existing policies as adequate. Recall that New York police minimized the number of prostitutes in the city, just as the Reagan administration argued that activists exaggerated the number of homeless persons. In other cases, opposition comes from private interests; for example, the Tobacco Institute (funded by the tobacco industry) became notorious for, over decades, challenging every research finding that smoking was harmful.

Statistics play an important role in campaigns to create—or defuse claims about—new social problems. Most often, such statistics describe the problem's size: there are 10,000 prostitutes in New York City, or three million homeless people. When social problems first come to our attention, perhaps in a televised news report, we're usually given an example or two (perhaps video footage of homeless individuals living on city streets) and then a statistical estimate (of the number of homeless people). Typically this is a big number. Big numbers warn us that the problem is a common one, compelling our attention, concern, and action. The media like to report statistics because numbers seem to be "hard facts"—little nuggets of indisputable truth. Activists trying to draw media attention to a new social problem often find that the press demands statistics: reporters insist on getting estimates of the problem's size—how many people are affected, how much it costs, and so on. Experts, officials, and private organizations commonly report having studied the problem, and they present statistics based on their research. Thus, the key players in creating new social problems all have reason to present statistics.

In virtually every case, promoters use statistics as ammunition; they choose numbers that will draw attention to or away from a problem, arouse or defuse public concern. People use statistics to support their point of view, to bring others around to their way of thinking. Activists trying to gain recognition for what they believe is a big problem will offer statistics that seem to prove that the problem is indeed a big one (and they may choose to downplay, ignore, or dispute any statistics that might make it seem smaller). The media favor disturbing statistics about big problems because big problems make more interesting, more compelling news, just as experts' research (and the experts themselves) seem more important if their subject is a big, important problem. These concerns lead people to present statistics that support their position, their cause, their interests. There is an old expression that captures this tendency: "Figures may not lie, but liars figure." Certainly we need to understand that people debating social problems choose statistics selectively and present them to support their points of view. Gun-control advocates will be more likely to report the number of children killed by guns, while opponents of gun control will prefer to count citizens who use guns to defend themselves from attack. Both numbers may be correct, but most people debating gun control present only the statistic that bolsters their position.


Most claims drawing attention to new social problems aim to persuade all of us—that is, the members of the general public. We are the audience, or at least one important audience, for statistics and other claims about social problems. If the public becomes convinced that prostitution or homelessness is a serious problem, then something is more likely to be done: officials will take action, new policies will begin, and so on. Therefore, campaigns to create social problems use statistics to help arouse the public's concern.

This is not difficult. The general public tends to be receptive to claims about new social problems, and we rarely think critically about social problems statistics. Recall that the media like to report statistics because numbers seem to be factual, little nuggets of truth. The public tends to agree; we usually treat statistics as facts.

In part, this is because we are innumerate. Innumeracy is the mathematical equivalent of illiteracy; it is "an inability to deal comfortably with the fundamental notions of number and chance." Just as some people cannot read or read poorly, many people have trouble thinking clearly about numbers.

One common innumerate error involves not distinguishing among large numbers. A very small child may be pleased by the gift of a penny; a slightly older child understands that a penny or even a dime can't buy much, but a dollar can buy some things, ten dollars considerably more, and a hundred dollars a great deal (at least from a child's point of view). Most adults clearly grasp what one can do with a hundred, a thousand, ten thousand, even one hundred thousand dollars, but then our imaginations begin to fail us. Big numbers blend together: a million, a billion, a trillion—what's the difference? They're all big numbers. (Actually, of course, there are tremendous differences. The difference between a million and a billion is the difference between one dollar and one thousand dollars; the difference between a million and a trillion is the difference between one dollar and a million dollars.)


Excerpted from Damned Lies and Statistics by Joel Best. Copyright © 2012 The Regents of the University of California. Excerpted by permission of UNIVERSITY OF CALIFORNIA PRESS.
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Table of Contents

Introduction: The Worst Social Statistic Ever

1. The Importance of Social Statistics
2. Soft Facts: Sources of Bad Statistics
3. Mutant Statistics: Methods for Mangling Numbers
4. Apples and Oranges: Inappropriate Comparisons
5. Stat Wars: Conflicts over Social Statistics
6. Thinking about Social Statistics: The Critical Approach


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