Milo Schield, Editor

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

Featured Paper:  Disparity vs. Discrimination  ICOTS 

2022 Dec:   Seven Questions for Policymakers.  Schield IASE webinar video  10 minutes  Dec 6, 2022.

2022 Oct:   NNN Annual Meeting Univ. New Mexico Albuquerque. Fri-Sun This week!  Oct 21-23.
 Focus on Statistical Literacy. Keynote by Larry Lesser. Talks by teachers & students.
                       Math 1300 is arguably one of the very few courses that is GAISE 2016 (multivariate) compliant.
                       Available in-person or online.  Schedule and registration on the NNN website: www.NNN-US.org 

                Statistical Literacy UNM Math 1300: First Year Results     Schield  ASA JSM  Slides

                2022-23 NNN Meeting: Conference program  UNM Albuquerque NM.  In person and online

                        Hurricane Ian: NHC Projection Cone Advisories.  Schield  Sept 23-29, 2022.   Slides

2022 Sept. Statistical Literacy USA. ISLP 2022 Q3 Newsletter.  By Schield.

                2020 Poverty Data by Race and Family Structure Since 1966.   Schield  (slides)

                Cornfield's 1957 use of causal grammar.  Schield Research paper.

2022 Aug:  Association vs. Causation; Disparity vs. Discrimination.  M./ Schield  9/11/2022 ICOTS Rosario Argentina.  Online. Slides

                Statistical literacy Goes Beyond Quantitative Literacy.    M. Schield  Mathfest (slides)  Proposal

                Dictionary Definitions of Bias (noun).  M. Schield

                Othmar Winkler, RIP.    Wilhelm Winkler by Alexander Perwinkler.  1984.  

2022 Jun:   Statistical Literacy: Seven Simple Questions for Policymakers. M. Schield. SJIAOS Invited, peer-reviewed 6/12/2022

                Statistical Literacy: Critical Thinking about Confounding Conference on Critical Thinking.  Slides   Announcement   Video (25 minute)

                        Statistical Literacy: Critical Thinking about Statistics.  Conference on Critical Thinking.  Slides   Announcement   Video (25 minute)

                Statistics and Quantitative Literacy Richard L. Schaeffer. 2004. Quantitative Literacy: Why Numeracy Matters.

                References to Confounding in De Veaux Intro Stats Introductory Statistics 5th ed. by De Veaux, Velleman and Bock.  2018.

                European Statistics Schools Competition WinnersEurostat.

                Statistical Literacy Proposal by M. Schield Augsburg 1997.

2022 May:  Introducing Statistical Literacy: A Lesson Plan. Milo Schield   ECOTS Activity 5/24/2022

                Teaching Statistical Literacy: Choice of Topics. Milo Schield.  5/26/2022  ECOTS Birds of a Feather (One-page handout)

                ASA JSM Talks related to Statistical Literacy M. Schield 2022

                Statistical Survey Project Requirements using Minitab.  M. Schield 1992. 

2022 Mar:  What Every Educator ... should know about Civic Statistics  by Iddo Gal   IASE workshop  3/14/2022

                   Math is music; Statistics is literature.  By  Richard De Veaux and Paul Velleman  2008

                   Statistical Literacy in Northeast China  by Robert Giebitz  ICOTS9 (2014) Poster

                   The Immortal Sowell by Charles Murray in the Claremont Review   Winter 2021-22 

                   Using Minitab for Exploratory Data Analysis  by Milo Schield 1995  Student handout

2022 Feb:   NNN Keynote1: Jane Miller, Beyond Statistical Significance  3/4/21. 
                    NNN Keynote2: Susan Ganter, Q/L: Promoting Institutional Transformation  3/5/2021
                    30+ papers,  Register for this online conference at www.NNN-US.org.

2022  Feb:     Statistical Literacy is Essential ....   by Anna Bargagliotti and Hollylynne S. Lee.  2/22/2022. 
2022  Feb:     Statistical Reasoning Table of Contents 5th edition (2018) by Bennett, Briggs and Triola

2022 Jan:   UNM offers confounder-based statistical literacy course.  ISLP  12/2021   Textbook TOC
                The Immortal Sowell.  Charles Murray.  Claremont Review
                 Schield 2021 Lifetime Statistical Achievements
.  Milo Schield, 12/2021

2021 Dec:   NNN Meeting March 4-6, 2022 Hybrid: U. South Florida, Tampa Call for Papers.

2021 Oct:   Offering Statistical Literacy Handout.  Schield Research paper Oct, 2021

2021 Aug:  Simpson's Paradox and Covid Deaths. Schield 8/12/2021 ASA JSM Birds of a Feather  Slides   1 page handout 8/11

2021 Aug:  Statistical Literacy Approved for General Education at U. New Mexico. Schield 8/11 JSM Full Slides Video; Speed Slides Video

2021 Aug:  Statistical Literacy: The Diabolical Denominator.   Schield 8/4/2021 MathFest Slides Video

2021 Aug:  A Simple Graphic Method to Assess Correlation   Othmar Winkler 2021  Biometrics and Biostatistics International Journal

2021 June: Teaching Confounding by Milo Schield.  6/26/2021 USCOTS Two-hour invited workshop. Slides    

2021 June: Statistical Literacy for Policy Makers Schield 7/16/2021 Slides ISI ISLP: Stat & Data Lit for Policy Makers

2021 June: Ambiguity of Phi in Excel by Milo Schield.

2021 May:  The War on Statistical Significance by Donald Macnaughton.  A must-read for statistical educators.

2021 May:  125 statistical educators sign up for Schield's USCOTS workshop: Teaching Confounding. Sat 26 June.

2021 May:  Schield JSM (UNM offers new statistical literacy course). Speed session: Wed Aug 11 at 1:30 EDT.

2021 Apr:   Schield Planned Presentations 2021      StatLit Picks USCOTS Schedule 2021

2021 Mar:  Schield comments:  Dashiell Young-Saver's Dangerous Denominators. New York Times
                Nate Bowling's Statistical Literacy is Too Important... in StatsMedic.

2021 Jan:   NNN Meeting Feb 26-28 Announcement   Schedule 28 papers.  Online.
                Keynotes:  Carl Bergstrom and Jevin West (Teaching "Calling Bullshit") and Jessica Utts (Confounding)

2020 Dec:  Call for Research on English Grammar Used to Describe and Compare Ratios Schield 12/03/2020

2020 Nov:  NNN Call for Papers   By Nov 30. National Numeracy Network Annual Meeting.  Feb 25-27 

2020 Nov:  Covid19: Infections, Cases and Deaths (slides) by Milo Schield 11/21/2020

2020 Nov:  NNN-MAA Numeracy Survey: Call for Participants National Numeracy Network

2020 Aug:  Statistical Literacy: Scanlan's Paradox.   Schield 8/03  JSM   Slides  Audio  

2020 July:  2020 Coronavirus Covid-19: An Explanatory Model.  Slides  Milo Schield 7/19/2020.

2020 May:  Controlling for Context by Standardizing.   Schield 5/20 ECOTS  Slides  Video (5 min)

2020 Mar:  Covid19: An Analysis    (slides)  by Milo Schield  03/08

2019 July: The 9 Pitfalls of Data Science by Gary Smith and Jay Cordes.  TOC.

2019 May: NNN 2019 Annual Meeting: Call for papers.   Austin TX  Oct 11-13  National Numeracy Network

2019 May: Statistical Literacy: Evaluating Evidence from Observational Studies."  Schield's USCOTS Workshop:  May 14 1-4 pm

2019 May: Interpreting the CDF of Socio-Economic Data 1/2019.  A Statistical Mystery Resolved 5/2019.   Othmar Winkler

2019 Apr: Univ. New Mexico developing two new courses: Statistical Literacy and Statistics for Research. Math Dept Hiring.

2019 Apr: Statistical literacy, or “how” to find the answers to your questions, comes with education and practice. Forbes. April 14, 2019

2018 July: Confounding and Cornfield: Back to the Future.  By Milo Schield (2018) for ICOTS 10.  "Cornfield's minimum effect size is one of the greatest contributions of statistics to human knowledge alongside the Central limit theorem and Fisher's use of random assignment to statistically control for pre-existing confounders."  "To change the future, we need to go back to when Jerome Cornfield argued that smoking caused cancer."  "Our unwillingness to talk about observational causation, confounding and strength of evidence is arguably the primary reason our students' see little value in the introductory statistics normally taught in Stat 101."  "We need to teach multivariate statistics, confounding and the Cornfield conditions so students will appreciate statistics." 

2018 Nov: IASE 2019 Satellite Conference Announcement.  Kuala Lumpur

2018 Oct: ISI Objectives: "#4. To advocate and foster statistical literacy, the use of statistics and data in decision making by governments, businesses and individuals."

2018 July: Statistical Literacy and the Lognormal Distribution By Milo Schield (2018) for ASA JSM. "There is no public data on the income share of the top 1% of households; those percentages are estimates. Those estimates vary from 5% to 40%. They are based on different data using different definitions and different models."

2018 July: Schield selected as a Fellow by the American Statistical Association.  Summary   Certificate

2018 May: The Book of Why:  A New Science of Cause and Effect. Judea Pearl. Summary and TOCIndex
                   "Judea Pearl's new book, The Book of Why, is a must read for anyone interested in philosophy, science, machine learning or statistics.
                   "The Book of Why is arguably the most important book on causal statistics since Cornfield debated Fisher on whether
                     smoking caused lung cancer."  Schield (2018)

2018 May  Six Books that Sharpened my BS Detector  by Joseph Makansi.

2018 April   Seven Habits of Highly Numerate People by Doug Berdie. Minneapolis Star and Tribune.

2018 March 4: Gartner Advanced Analytics and Big Data Summit.
        Marc Isaacson and Milo Schield (Quant-Fluent) conduct a three-hour workshop on Data Literacy and Statistical Literacy

  • Schield interview with Ryan Dunlap: See bottom of Video page.

  • Quant-Fluent website opened. Marc Isaacson and Milo Schield  (April)

2017 June 21 SERJ Special Issue: Statistical Literacy

  • The future of Statistical Literacy is the future of statistics Editorial by guest editors Jim Ridgway and James Nicholson.
    "On an optimistic note, Milo Schield argues that the 2016 revision of the GAISE Guidelines marks a major step forward in promoting statistical literacy via its increased emphasis on evidence appropriate for decision making – such as paying attention to study design and multivariate data and associated concepts such as confounding."

    "Conclusion:  Statistical literacy is a pre-requisite for an informed democracy. Increasing statistical literacy is a key element in warding off the existential crisis we face. Revising current curricula in school and at university to ensure that there is an adequate focus on using evidence to make decisions in realistic contexts is an essential starting point. At least as important is for statistics educators to take a broader view of their task, and to engage directly with the illiteracies encountered in broadcast and social media – for example by direct critique, or by promoting statistical literacy directly. There is a need for disparate elements of the statistics community to come together; cultivating statistical literacy across the whole of society should be a goal that brings like-minded people together with a common cause."

Invited Editorials:

Research Papers:

Regular Papers:

2017: June Panorama of Statistics: Perspectives, puzzles and paradoxes in statistics by Eric Sowey & Peter Petocz. 

"The authors guide readers, who already know something of statistics, to see the richness of the discipline and to let them discover its fascinations. Among the chapters you can find aspects of statistics (e.g. statistical literacy, intellectual history, and epistemology) that are outside the conventional instructional mainstream and beyond the scope of most textbooks. This is a book which can engage curious students, teachers, and consumers of statistics, as well as practitioners of statistics and of statistics-using disciplines." 

Table of Contents: Part I. Introduction. 1) Why is statistics such a fascinating subject? 2) How statistics differs from Mathematics 3) Statistical literacy - essential in the 21st century! 4) Statistical inquiry on the web. Part II: Statistical description 5) Trustworthy statistics are accurate, meaningful and relevant 6) Let hear it for the standard deviation! 7) Index numbers - time travel for averages 8) The beguiling ways of bad statistics I 9) The beguiling ways of bad statistics II Part III: Preliminaries to inference 10) Puzzles and paradoxes in probability 11) Some paradoxes of randomness 12) Hidden risks for gamblers 13) Models in statistics 14) The normal distribution: history, computation and curiosities Part IV Statistical inference 15) The pillars of applied statistics I - estimation 16) The pillars of applied statistics II - hypothesis testing 17) 'Data snooping' and the significance level in multiple testing 18) Francis Galton and the birth of regression 19) Experimental design - piercing the veil of random variation 20) In praise of Bayes Part V: Some statistical byways 21) Quality in statistics 22) History of ideas: statistical personalities and the personalities of statisticians 23) Statistical eponymy 24) Statistical 'laws' 25) Statistical artifacts Part VI: Answers to chapter questions

2017 May 16 Atlantic. Protecting the Public Commons by Alexander B. Howard May. "A core component of a high school education should include teaching people how to judge risk, statistical literacy, and how to exercise our rights to access public information."

2017 May 12  New ISI Objective: To advocate and foster statistical literacy, the use of statistics and data in decision making by governments, businesses and individuals. ISI 2017 Update of Mission and Objectives 2016 Mission and Objectives.

2017 April 29: Schield invited to talk on Statistical Literacy in Toronto at the Field Institute Math-Ed forumSchedule
Statistical Literacy: What is it...  Who needs it...  What is stopping it...
Slides  Audio  PPTX

2016 July: Offering STAT 102: Social Statistics for Decision Makers. Schield IASE Roundtable in Berlin.

2015: Introduction to Statistical Investigations by Tintle, Chance, Cobb, Rossman, Roy, Swanson & VanderStoep (2015).   Wiley Description & TOC  2014pb

The Math Myth and Other STEM Delusions Book by Andrew Hacker. The Wrong Way to Teach Math 2/2016. NY Times  Is Algebra Necessary? 7/2012 NY Times.  Reviews: Goldstein "Hecker: Down with Algebra II".   2012 Rebuttals: Mehta, Devlin.  2016 Rebuttals:  Devlin


Aug 4.   "Willful Ignorance" by Herb Weisberg (picture above) is now available!!  [Editor:  This book is my #1 pick for 2014.]   Weisberg's grasp of statistical history is comprehensive without being over-whelming.  But this is more than just a history book on statistics.  Weisberg has a point to make -- that statisticians have mis-measured uncertainty!  And this mis-measurement involves "willful ignorance"!!!   These are fighting words for statisticians who consider the proper measurement of uncertainty to be their primary task.  For more details on Herbert Weisberg, visit his page.    If you buy one statistics book this year, buy this one!  Amazon US

Two Big Ideas for Teaching Big Data: Coincidence and Confounding by Milo Schield. ECOTS invited paper downloaded 4,200 times in the seven months it has been posted in 2014.   See also Schield slides presented at Big Data panel.

"I hope that...statistical literacy will...rise to the top of your advocacy list"  Ruth Carver, ASA 2012 Presidential Address

29% of US Freshman took stats in high school (15% took AP Stats), so 14% took non-AP Stats. 2012 Am. Freshman

Spurious Correlations (More than 9,000 computer-generated as of 5/2014): For example: Number of people who died by becoming tangled in their bed sheets correlates with Total revenue generated by skiing facilities (US).  [Great examples, but a high correlation coefficient between two times series does not imply statistical significance -- much less a causal connection. See Cross-correlation.  Editor]

2014 10: Highest Monthly Downloads: October had 45,000 downloads from this site: the highest number in our ten-year history. Last year's monthly  high was 26,000 in May.  The biggest cause is the download of the the PowerPoint demos to create various statistics and models using Excel: over 67,000 YTD.  The "Create-Lognormal-Excel2013" demo has had 36,000 downloads so far this year.

2014 11: Highest Monthly Index Views @ StatLit.org:  November had 6,200 index views -- 33% more than last year's monthly high.



"Statistical literacy is the ability to read and interpret summary statistics in the everyday media: in graphs, tables, statements, surveys and studies.   Statistical literacy is needed by data consumers – students in non-quantitative majors: majors with no quantitative requirement such as political science, history, English, primary education, communications, music, art and philosophy. About 40% of all US college students graduating in 2003 had non-quantitative majors."    By Milo Schield in "Assessing Statistical Literacy: Take CARE" Ch 11 in Assessment Methods in Statistical Education, pp. 133-152.  Wiley 2010  Schield excerpts

Short introduction to Statistical Literacy.  For more on confounding, see Standardizing.

UK Parliament Briefing paper on Statistical Literacy

Statistical literacy: "the ability to read and interpret statistics, and think critically about arguments that use statistics as evidence"  United Nations Development Dictionary (move slider to "s") [link broken/missing in 2012]

Statistical literacy: "understanding the basic language of statistics (e.g., knowing what statistical terms and symbols mean and being able to read statistical graphs), and understanding some fundamental ideas of statistics." GAISE College Report 


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Yearly highlights of grants, new books, conference papers (ICOTS, ISI, JSM, JMM), and events involving statistical literacy. 


Newest StatLit.org web pages: 


If you read just one article, read Appendix B of the 2016 update to the ASA GAISE recommendations. This paper argues that introductory statistics courses should include multivariate thinking (and confounding).  See also footnote 40 in ASA (2014). Curriculum Guidelines for Undergraduate Programs in Statistical Science. "Issues of confounding and causal inference are central to the discipline of statistics."

The second-most important paper introduces confounding as 'one of the two major themes in statistical analysis'.  See Challenging the state of the art in post-introductory statistics by Tintle, Chance, Cobb, Rossman, Roy, Swanson and VanderStoep (2013). 

The third by the same authors is Introduction to Statistical Investigations (2016) where confounding is introduced in chapter 4 on causation.


"By introducing confounding, these three papers are arguably the most important non-Schield papers in statistical education since 2002 when Howard Wainer publicized 'The BK-Plot: Making Simpsons' Paradox Clear to the Masses'.  Together they mark a new beginning of statistics education for the 21st century."  Milo Schield, StatLit Editor



01  Challenge Statistical Claims in Media, Martinez-Dawson ASA 2013

2015 SLIDES and WORKSHEETS HOSTED (by month)

07  2013 MSMESB: MS Business Analytics program.  Nargundkar.    slides



12  AMSTAT: Causality in Statistics Education Award 2013. ASA News

12  Most stat analysis not done by statisticians Simply Statistics 2013

12  Simpson's Paradox in Psychological Science by Kievit et al. 2013.

12  Statistical Literacy Explained by Hewson, Teaching Statistics, 2013

12  Headlines in a Math-Literate World by Orlin, Huffington Post, 2013

12  RSS GetStats Statistical Literacy Campaign and Initiatives. 2014

12  SIGMAA-QL 2013 Newsletter.   Bennet: Writing for general public.

11  Call for Statistical Literacy papers. 2014 Stat-Ed Research Jrnl.

11  Relative Risk Cutoffs for Statistical Significance. Schield 2014

10  SRTL-9 Proposal: Informal Doorways to Modeling. Schield  2014

09  Limitations and Uses of Convenience Samples Kriska et al. ASA 2013

09  Seeing how Statistical Significance is Contextual.  Schield 2003.

08  Simpson's Paradox #30 Classic Problems in Probability. Gorroochurn

08  Simon Schild Maps: Bellenberg Germany & Benton County IA. 2014

08  Schild Family journey from Bellenberg Germany to America. 2002

07  2013 MSMESB/DSI Annual Report by Robert Andrews

07  Odyssey: Lifelong Statistical Literacy Schield 2014 ICOTS  slides
05  Two Big Ideas for Teaching Big Data  Schield ECOTS 2014  slides

04  Teaching Big Data at Georgetown. Sigman et al. Decision Line 2014

03  Augsburg TIDES Proposal: Summary AACU Schield 2014 Full proposal

02  Augsburg's NSF Proposal: Summary.  Schield 2014 Full

01  Visualization of Economic Indicators. Thompson+Wallace. ASA 2013.

01  Fusion & causal analysis in big marketing data.  Mandel ASA 2013

01  Check Distributional Assumption: Benford’s Law. Goodman  ASA 2013

01  Challenge Statistical Claims in Media, Martinez-Dawson ASA 2013

2014 SLIDES and WORKSHEETS HOSTED (by month)

11  Business Analytics and Data Science. Schield DSI 2014 slides

10  Statistical Literacy+Coincidence. Schield NNN1 Workshop 2014 slides
10  Explore Log-Normal Incomes Schield NNN2 2014 Slides xls  Update

10  Creating Distributions Empirically. M. Schield. NNN3 Workshop Slides

10  Statistically-Significant Correlations. Milo Schield. NNN4 2014 Slides

10  Segmented Linear Regression. Schield. NNN5 Workshop 2014 Slides

08  Top 30 Learning Goals for Introductory Sociology. Persell  2010  List

08  Social Science Reasoning & QL Learning Goals Caulfield+Persell'06List

07  2013 MSMESB: Predictive Analytics course. Levine et al.         slides

07  2013 MSMESB: Spreadsheet Analytics. James R. Evans.          slides

07  2013 MSMESB: Implications of Big Data for Stat Ed. Berenson  slides

07  2013 MSMESB: Big Data & Statistics Instruction. Berenson      slides

07  2013 MSMESB: Big Data in Stat 101: Small changes. McKenzie slides

07  2013 MSMESB: Create Business Analytics class. Kirk Karawan.  slides

07  2013 MSMESB: Getting Analytics into the curriculum. Karawan. slides

07  2013 MSMESB: Analytics and the Evolving Workforce. LaBarr.   slides

07  2013 MSMESB: MS Business Analytics program.  Nargundkar.    slides


Top 20 Downloads of Papers (Google clicks 2019)       

1 5,160 2013-Knapp-To-pool-or-not-to-pool
2 4,110 2018-Pearl-Book-of-Why-Summary-Reviews
3 1,704 2018-Thirty-Best-Data-Science-Books
4 1,533 2013-Kriska-ASA
5 1,530 2016-Tintle-Intro-to-Statistical-Investigations-TOC
6 1,492 2008MillerASA
7 956 2009WinklerASA
8 853 2010Schield-StatLit-Intro4p
9 832 2016-Levitin-Field-Guide-to-Lies-TOC-Intro
10 800 2012-Knapp-Learn-Statistics-through-Playing-Cards
11 724 2016-Neath-ASA
12 588 2011Lesser-JSM
13 569 2019-Schield-Gender-Pay-Gap
14 499 2014-Schield-RR-Statistical-Significance
15 455 2010kempkissaneicots
16 434 1994SchieldASA
17 414 2013-Knapp-Likert-and-Visual-Analog-Scales
18 383 2017-Schield-ASA
19 379 2014-Schield-SS-Shortcut-Chi-Square
20 364 1994schieldasa

Next 20 Downloads of Papers (Google Clicks: 2019)

21 355 2008SchieldBurnhamASA
22 348 2014-Molnar-ICOTS-Poster-Tasks
23 305 2014-Utts-Seeing-Through-Statistics-4th-TOC
24 275 2009SchieldRaymondASA
25 272 2001-Steen-Mathematics-Educator-Singapore
26 230 2004KlassASA
27 227 2012Schield-ASA
28 204 2016-Knapp-QRM
29 186 2009BoltonStatisticalLiteracyGuideUK
30 167 2014-Sigman-Teaching-Big-Data-DSI
31 149 2013-Martinez-Dawson-ASA
32 146 2015-Schield-ASA
33 146 2012-Gorroochurn-xx-Simpsons-Paradox
34 146 2013-knapp-likert-and-visual-analog-scales
35 137 1927-AT-Rowe-Dwight-Moody-Soul-Winner-OCR
36 119 2005MauchDissertation
37 117 1957-Aitchison-Brown-Excerpts
38 111 1993-Schield-Summary-1896-Carroll-Symbolic-Logic
39 109 2016-Schield-Sum-Identical-LogNormals-
40 109 2006SchieldASA

TOP Schield Downloads         |           Top Web Pages in 2019

Top 20 Downloads of Schield Papers (Google clicks )

1 853 2010Schield-StatLit-Intro4p
2 569 2019-Schield-Gender-Pay-Gap
3 499 2014-Schield-RR-Statistical-Significance
4 434 1994SchieldASA
5 383 2017-Schield-ASA
6 379 2014-Schield-SS-Shortcut-Chi-Square
7 355 2008SchieldBurnhamASA
8 275 2009SchieldRaymondASA
9 227 2012Schield-ASA
10 146 2015-Schield-ASA
11 111 1993-Schield-Summary-1896-Carroll-Symbolic-Logic
12 109 2016-Schield-Sum-Identical-LogNormals-
13 109 2006SchieldASA
14 63 2007SchieldMSS
15 45 2018-Schield-ICOTS
16 43 2011Schield-ASA-Chair
17 37 2017-Schield-LogNorm-Loss-Freq-Sev-Dist-Demo
18 33 2017-Schield-LogNorm-Median-Given-Mean+StdDev
19 26 2016-Schield-IASE
20 26 2018-Schield-ASA-Fellow-Nomination

Top 20 Page Views of StatLit Web Pages (Google)

1 1,387 Best
2 728 index
3 351 Blastland
4 262 Cornfield
5 177 Gigerenzer
6 151 Weisberg
7 141 QL3
8 124 AdultNumeracy
9 121 Jrnl1
10 108 Video1
11 107 Pearl
12 106 Winston
13 101 Wainer
14 85 Bracey
15 71 Moore
16 61 Steen
17 59 Schield
18 59 Tools
19 59 Miller
20 50 Paulos


















76,209  Index to StatLit.org website   [This page]

 3,261   Howard Wainer author page

 3,148   Quantitative Literacy/Reasoning Textbooks as of 2015.  Schield

 2,910   Statistical Literacy Articles by Year posted to www.StatLit.org

 2,845   StatLit News: 2009  News of the Year

 2,749   StatLit News: 2013  News of the Year

 2,689   Joel Best author page

 2,684   Standardizing.   Different techniques by Schield

 2,440   StatLit News: 2012  News of the Year

 2,372   StatLit News: 2011  News of the Year

 2,311   StatLit News: 2010 News of the Year

2,217   StatLit Tools   Excel-based tools for analyzing statistics

2,153   Gerald Bracey author page

2,061   StatLit News: 2008 News of the Year

1,967   Gerd Gigerenzer author page

1,949   Adult Numeracy page

1,849   StatLit News: 2014  News of the Year

1,224   StatLit News: 2007  News of the Year

1,179   Blastland author page

1,110   StatLit News: 2006  News of the Year

1,087   Milo Schield  author page with related items

Note: the leading number is the number of page reads for each page


  • Victor Cohn (1989), News and Numbers

  • Darrell Huff (1954), How To Lie with Statistics

  • Edward Tufte (1995), Visual Explanations




S/L Books

Q/L Books


Q/L Texts



W. M. Keck Statistical Literacy Project

Web-accessible articles presenting a general background or overview.

Statistical Literacy:


Quantitative Literacy:

Fifteen articles involving the W. M. Keck Statistical Literacy Project:


  •  Making Sense of Statistics by Nigel Hawkes and Leonor Sierra. Section 1: If a statistic is the answer, what was the question?  Section 2: Common pitfalls.  Section 3: How sure are we?  Section 4: Percentages and risk; knowing the absolute and relative changes.  


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IMS             2019 PROFESSIONAL EVENTS             Statistics

2020: May 19-21  ECOTS 
                         Mon: Workshop: Multivariable thinking across the curriculum by Chance et al.
                         Tues: Poster: Exploring how students reason about correlation and causation by Evans et al.
                         Wed: Poster: Controlling for Context using Standardization by Schield  Slides   Video (5 min)
                         Thurs: 11:45 Building Q/L among Social Justice Oriented Students by Bettinger & Martinez (SFSU

2019: July 28-Aug 1: JSM Denver. ISLP Session (Jan)   Schield: Statistical Literacy: A Study of Confounding

2019: May 16-18. USCOTS. State College Pennsylvania   Schield's Workshop:

2019: Aug 13-16.  IASE Satellite Conference.  Kuala Lumpur. Malaysia

2019: July 27-Aug 1. ASA JSM Denver, Colorado



QL = Q/L = Quantitative Literacy,   QR = Q/R = Quantitative Reasoning,    S/L = SL = Statistical Literacy,     S/R = SR = Statistical Reasoning

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