Joel Best
02/01/14

Authors Popular StatLit News Authors-Academic Statistical Literacy Numeracy Statistical Reasoning

Joel Best Howard Wainer Gerd Gigerenzer Jane Miller Michael Blastland Uri Bram Gerald Bracey John Paulos

 

 

 

         

Joel Best identifies what is essential about numbers or statistics:

  • Every statistic is socially constructed in the most operational sense of that term. 

  • The social construction of statistics does not imply malevolence, negligence or even opportunism. 

  • The social construction of statistics goes beyond chance, bias and confounding.  

  • Seeing that all statistics are socially constructed is essential to being statistically literate. 

Professor Best is concerned about the future of statistical literacy in higher education. 
To see why, read the final chapter -- Toward Statistical Literacy -- in "More Damned Lies and Statistics".

  • "even if we agree that statistical literacy is important, and that we need to teach these skills, we still need to figure out who is going to do that teaching. I speak as an outsider, but I doubt that it will be statisticians."   Statistical Science (2005).

Papers on Statistical Literacy:

Other Books

  • Social Problems by Joel Best (2007) "a complete set of tools for analyzing any social problem. Best helps readers think carefully about how activists, experts, and their opponents frame social problems through the logic that they use, the rhetoric of claims-making, and the ways that access to resources determines who gets their claims heard. In order to help students connect theory to everyday life, the text includes colorful examples and case studies from the real world."
  • Flavor of the Month: Why Smart People Fall for Fads by Joel Best (2006).  "this book focuses on ... the institutional fad. Institutional fads occur in business, education, government, and medicine whenever normally rational people embrace novel solutions just because they are the latest, greatest thing. Since the definition of a fad is something that catches on and then quickly fades away, these passing solutions waste a lot of resources and can even leave damage in their wake. Some institutional fads that may not be all they were cracked up to be include multiple-personality-disorder diagnoses, business management systems such as Six Sigma, and the No Child Left Behind program. Best examines the life cycle and dynamics of fads and suggests some basic adages for becoming "fad-proof," such as "remember last time." David Siegfried

Joel Best is dedicated to improving basic undergraduate skills: 1. Read and evaluate difficult material. 2. Locate and evaluate good information 3. Organize ideas 4. Communicate clearly in writing 5. Communicate clearly orally. For more information on Dr. Best, check out his website: www.JoelBest.net


Stat Spotting (9/2008)
A Field Guide to Identifying Dubious Data

  •  1: Getting Started
                A. Spotting questionable numbers   B. Background  (B1 Statistical Benchmarks, B2 Severity and Frequency)

  •  2: Varieties of dubious Data
         C. Blunders: C1. The slippery decimal point,  C2. Blotched transactions,  C3. Misleading graphs, C4. Careless calculations
         D. Sources: who counted and why?  D1. Big round numbers, D2. Hyperbole,   D3. Shocking claims    D4.  Naming the problem
         E. Definitions, what did they count?  E1. Broad definitions, E2. Expanding definitions, E3. Changing the definitions,  E4. The uncounted.
         F. Measurements: how did they count?  F1. Creating measures,  F2. Odd units of analysis,  F3. Loaded questions,
                                                               F4. Raising the Bar,       F5. Technical measures.
         G. Packaging: what are they telling us?  G1. Impressive formats,    G2. Misleading samples,       G3. Convenient time frames
                                                               G4. Peculiar Percentages,  G5. Selective comparisons,  G6. Statistical milestones
                                                               G7. Averages, G8. Epidemics, G9. Correlations,  G10. Discoveries.
         H. Debates: what if they disagree?    H1. Causality debates,  H2. Equality debates, H3. Policy debates.

  • 3: Stat-Spotting on your own
         I. summary; common signs of dubious data
         J. Better data: some characteristics
         K. If you had no idea things were that bad, they probably aren't.
         L. Suggestions for those who want to continue stat-spotting.

  • Acknowledgements, Notes and Index

Are four million women really battered to death by their husbands or boyfriends each year? Does a young person commit suicide every thirteen minutes in the United States? Is methamphetamine our number one drug problem today? Alarming statistics bombard our daily lives, appearing in the news, on the Web, seemingly everywhere. But all too often, even the most respected publications present numbers that are miscalculated, misinterpreted, hyped, or simply misleading. Following on the heels of his highly acclaimed Damned Lies and Statistics and More Damned Lies and Statistics, Joel Best now offers this practical field guide to help everyone identify questionable statistics. Entertaining, informative, and concise, Stat-Spotting is essential reading for people who want to be more savvy and critical consumers of news and information.

Stat-Spotting features:

* Pertinent examples from today's news, including the number of deaths reported in Iraq, the threat of secondhand smoke, the increase in the number of overweight Americans, and many more

* A commonsense approach that doesn't require advanced math or statistics

 

Review by Bernie Madison, Univ. of Arkansas:  "As we now swim in information, much of it bogus or biased, spotting dubious data is super important. In Stat-Spotting, Joel Best plays off the format of field guides to give readers good commonsense ways not only to sense bad data but also to understand what's wrong.  Broken up into short independent sections, the book is easy and enjoyable to read.  I will recommend it to my students, and to others, as a resource for critical consumers of numbers."

 

Review by Neil Lutsky, Carleton college: "Stat-spotting proposes to help readers become more critical consumers of statistical claims.  It is an important work that addresses a significant problem in contemporary society: thoughtlessness about numerical claims.  Joel Best provides a direct, accessible guide to critical readings of statistics." 

 

Review by Alan Jasper, Graduate Center,  City University of New York:  "If you ever scan the newspaper, watch the TV news, or surf the blogs, you should read this charming book.  If you're a journalist, read it twice."


More Damned Lies and Statistics (8/2004)
How Numbers Confuse Public Issues

  •  Table of Contents

  •  Preface: People Count

  • Ch 1: Missing Numbers

  • Ch 2: Confusing Numbers

  • Ch 3: Scary Numbers

  • Ch 4: Authoritative Numbers

  • Ch 5: Magical Numbers

  • Ch 6: Contentious Numbers

  • Ch 7: Toward Statistical Literacy

Excerpts (Ch 7):

"Why not consider statistical literacy a skill?  But this raises another question: what sort of basic skill is it?"   "This competition [between departments] means that teaching basic skills often is devalued."   "College instructors are well aware that substantial proportions of students have trouble reading -- let alone thinking critically about -- basic graphs and tables.  This is a very important skill because graphs and tables are certain to appear in much of the reading a student will need to do in the course of college.  And yet, no one wants to teach this skill, or at least spend much time doing so.   Many have the sense that students should already be proficient in these skills when they get to college (even though it is clear that many are not).  To many others, it seems to simple, too basic -- a waste of time for professors who would prefer to teach the more advanced topics in their disciplines."  "Thus statistic and mathematics instructors are unlikely to have any more interest in teaching statistical literacy than English professors have in teaching first-year composition.  Nor are other departments eager to teach this material.  I teach sociology courses, but I know that most sociology professors tend to dismiss statistical literacy as "not really sociology"; faculty in psychology and other disciplines probably have the same reaction. Statistical literacy falls between the stools on which academic departments perch."  "The lessons involved in teaching statistical literacy are not so terribly difficulty; rather, the difficulty lies in finding someone willing to teach them."

 

Reviews:

In this sequel to Best's Damned Lies and Statistics (2001), the premise is simple: there are vast quantities of statistics being bandied about in all walks of life, and we frequently rely on them to form our own opinions about things. Often, however, neither we nor the experts understand how those numbers work. "People need to agree about what to count before they can start counting," the author tells us, explaining why different people often disagree about the same statistics. Some journalists say child-abduction cases are up; others say they're down; but no one has bothered to agree on what they mean by child or abduction. Another problem: news media perpetuate inaccuracies by citing each other's statistics without checking for accuracy. This is why, for example, we keep hearing that 150 people die every year after being hit by falling coconuts. (In fact, there is no such statistic because no one tracks coconut deaths.) The book is packed with helpful tips for understanding statistics, and it even manages to make a usually dull topic entertaining. David Pitt Copyright © American Library Association. All rights reserved Review

"Through his devastating work on common myths about social problems, Joel Best has established himself as a brilliant observer of our national fads and scares. In this latest book, Best confronts yet more of the pseudo-statistics by which we are bamboozled day by day. One obvious question comes to mind. If he can deal with highly significant topics in such lucid and enjoyable prose, why can't other social scientists begin to match him?"—Philip Jenkins, author of The New Anti-Catholicism: The Last Acceptable Prejudice

"Joel Best continues to confront us with the delicious lunacy of statistical gaffes and fantasies. Whether discussing 'deaths from falling coconuts,' teenage bullying, or likelihood of contracting breast cancer, Best teaches us to avoid the dangers of statistical illiteracy. As his cogent and comic examples from the media amply demonstrate, there is much teaching yet to be done. While we like to believe that it is our opponents who are fools with figures, this volume demonstrates that liberals, conservatives, libertarians, lawyers, physicians, and educators fall in the same numerical traps."—Gary Alan Fine, co-author of Whispers on the Color Line: Rumor and Race in America

"Best provides us with another telling compendium of misleading statistics about a variety of topical issues. His approach to explicating them is lucid, instructive, and quite engaging."—John Allen Paulos, author of Innumeracy

About the Author: Joel Best is Professor and Chair of Sociology and Criminal Justice at the University of Delaware. He is the author of Damned Lies and Statistics: Untangling Numbers from the Media, Politicians, and Activists (California, 2001), Random Violence: How We Talk about New Crimes and New Victims (California, 1999), and Threatened Children: Rhetoric and Concern about Child-Victims (1990).

Reviews by Augsburg students: " I think that [reading] this [book] makes me a more informed person and one less easily duped.  I feel like I am less confused, now, by conflicting claims.  It wasn’t a book I would have read outside of class, but I’m glad I did read it."


Damned Lies and Statistics (5/2001)
Untangling Numbers from the Media, Politicians and Activists

 

TABLE OF CONTENTS

  • Introduction: The Worst Social Statistic Ever

  • Ch 1: The Importance of Social Statistics

  • Ch 2: Soft Facts: Sources of Bad Statistics

  • Ch 3: Mutant Statistics: Methods for Mangling Numbers

  • Ch 4: Apples and Oranges: Inappropriate Comparisons

  • Ch 5: Stat Wars: Conflicts over Social Statistics

  • Ch 6: Thinking about Social Statistics: The Critical Approach

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This site was last updated 02/01/14