
2020 May:
Controlling for Context by
Standardizing. Schield 5/20
ECOTS Slides
Video (5 min)
2020 Mar:
Coronavirus
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 1113 National Numeracy Network
2019 May: Statistical Literacy: Evaluating
Evidence from Observational Studies." Schield's
USCOTS Workshop: May 14 14 pm
2019 May:
Interpreting the
CDF of SocioEconomic 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 preexisting 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 TOC.
Index
"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 (QuantFluent)
conduct a
threehour workshop on Data Literacy and Statistical Literacy
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 prerequisite 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 likeminded people together with a common
cause."
Invited
Editorials:
Research Papers:

From
the Classroom to the Workplace: How Social Science Students Are Learning
to do Data Analysis for Real by Jackie Carter, Mark Brown, and
Kathryn Simpson

Telling
Stories, Landing Planes and Getting Them Moving – A Holistic Approach to
Developing Students' Statistical Literacy by Julie Scott Jones and
John E. Goldring

Opening Real Science: Evaluation of an Online Module on Statistical
Literacy for PreService Primary Teachers by Ayse Aysin Bombaci
Bilgin, Elizabeth DateHuxtable, Carmel Coady, Vincent Geiger, Michael
Cavanagh, Joanne Mulligan, and Peter Petocz

Developing Statistical Literacy in the Final School Year by
Stephanie Budgett and Drusilla Rose

Interpretation of Statistical Data: The Importance of Affective
Expressions by Tamires Queiroz, Carlos Monteiro, Liliane Carvalho,
and Karen François

The Development of Statistical Literacy at School by Rosemary
Callingham and Jane M. Watson

Key
Success Factors for Statistical Literacy Poster Competitions by
Steve MacFeely, Pedro Campos, and Reija Helenius.

Statistical Literacy in Public Debate – Examples from the UK 2015
General Election by Phoebe Arnold
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 statisticsusing
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 MathEd forum.
Schedule
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 overwhelming. But this is more than
just a history book on statistics. Weisberg has a point to make 
that statisticians have mismeasured uncertainty! And this mismeasurement
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 nonAP Stats.
2012 Am. Freshman
Spurious Correlations
(More than 9,000 computergenerated 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
Crosscorrelation. Editor]
2014 10: Highest Monthly Downloads: October had
45,000
downloads from this site: the highest number in our tenyear 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 "CreateLognormalExcel2013"
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.
DEFINITIONS
"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 nonquantitative 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 nonquantitative majors."
By Milo Schield in "Assessing Statistical Literacy: Take CARE" Ch 11 in
Assessment Methods in Statistical Education, pp. 133152.
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
STATLIT NEWS 
Search StatLit Site 


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

NEWS 
Newest StatLit.org web pages:

THREE MOST IMPORTANT
STATISTICAL LITERACY ARTICLES SINCE 2002
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 secondmost important paper introduces confounding as 'one
of the two major themes in statistical analysis'. See
Challenging the state of the art in postintroductory 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
nonSchield papers in statistical education since 2002 when Howard Wainer
publicized 'The BKPlot: Making Simpsons' Paradox Clear to the
Masses'. Together they mark a new
beginning of statistics education for the 21st century." Milo Schield,
StatLit Editor

ARTICLES/SLIDES POSTED in
2015 
2015 ARTICLES POSTED TO
STATLIT.ORG (by Month)
01
Challenge Statistical Claims in Media, MartinezDawson ASA 2013

2015 SLIDES and WORKSHEETS HOSTED
(by month)
07 2013 MSMESB: MS Business Analytics program.
Nargundkar.
slides

ARTICLES/SLIDES POSTED in
2014 
2014 ARTICLES POSTED TO
STATLIT.ORG (by Month)
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 MathLiterate World by Orlin, Huffington Post, 2013
12
RSS GetStats
Statistical Literacy Campaign and Initiatives. 2014
12
SIGMAAQL 2013 Newsletter. Bennet: Writing for general
public.
11
Call for Statistical
Literacy papers. 2014 StatEd Research Jrnl.
11
Relative Risk
Cutoffs for Statistical Significance. Schield 2014
10
SRTL9 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, MartinezDawson 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 LogNormal Incomes Schield NNN2 2014
Slides xls
Update
10 Creating Distributions Empirically. M.
Schield. NNN3 Workshop
Slides
10 StatisticallySignificant 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 DOWNLOADS: 2019 
Top 20 Downloads of Papers (Google
clicks 2019)
1 
5,160 
2013KnappTopoolornottopool 
2 
4,110 
2018PearlBookofWhySummaryReviews 
3 
1,704 
2018ThirtyBestDataScienceBooks 
4 
1,533 
2013KriskaASA 
5 
1,530 
2016TintleIntrotoStatisticalInvestigationsTOC 
6 
1,492 
2008MillerASA 
7 
956 
2009WinklerASA 
8 
853 
2010SchieldStatLitIntro4p 
9 
832 
2016LevitinFieldGuidetoLiesTOCIntro 
10 
800 
2012KnappLearnStatisticsthroughPlayingCards 
11 
724 
2016NeathASA 
12 
588 
2011LesserJSM 
13 
569 
2019SchieldGenderPayGap 
14 
499 
2014SchieldRRStatisticalSignificance 
15 
455 
2010kempkissaneicots 
16 
434 
1994SchieldASA 
17 
414 
2013KnappLikertandVisualAnalogScales 
18 
383 
2017SchieldASA 
19 
379 
2014SchieldSSShortcutChiSquare 
20 
364 
1994schieldasa 

Next 20 Downloads of Papers (Google Clicks: 2019)
21 
355 
2008SchieldBurnhamASA 
22 
348 
2014MolnarICOTSPosterTasks 
23 
305 
2014UttsSeeingThroughStatistics4thTOC 
24 
275 
2009SchieldRaymondASA 
25 
272 
2001SteenMathematicsEducatorSingapore 
26 
230 
2004KlassASA 
27 
227 
2012SchieldASA 
28 
204 
2016KnappQRM 
29 
186 
2009BoltonStatisticalLiteracyGuideUK 
30 
167 
2014SigmanTeachingBigDataDSI 
31 
149 
2013MartinezDawsonASA 
32 
146 
2015SchieldASA 
33 
146 
2012GorroochurnxxSimpsonsParadox 
34 
146 
2013knapplikertandvisualanalogscales 
35 
137 
1927ATRoweDwightMoodySoulWinnerOCR 
36 
119 
2005MauchDissertation 
37 
117 
1957AitchisonBrownExcerpts 
38 
111 
1993SchieldSummary1896CarrollSymbolicLogic 
39 
109 
2016SchieldSumIdenticalLogNormals 
40 
109 
2006SchieldASA 

TOP Schield Downloads 
Top Web Pages
in 2019 
Top 20 Downloads of Schield Papers (Google clicks )
1 
853 
2010SchieldStatLitIntro4p 
2 
569 
2019SchieldGenderPayGap 
3 
499 
2014SchieldRRStatisticalSignificance 
4 
434 
1994SchieldASA 
5 
383 
2017SchieldASA 
6 
379 
2014SchieldSSShortcutChiSquare 
7 
355 
2008SchieldBurnhamASA 
8 
275 
2009SchieldRaymondASA 
9 
227 
2012SchieldASA 
10 
146 
2015SchieldASA 
11 
111 
1993SchieldSummary1896CarrollSymbolicLogic 
12 
109 
2016SchieldSumIdenticalLogNormals 
13 
109 
2006SchieldASA 
14 
63 
2007SchieldMSS 
15 
45 
2018SchieldICOTS 
16 
43 
2011SchieldASAChair 
17 
37 
2017SchieldLogNormLossFreqSevDistDemo 
18 
33 
2017SchieldLogNormMedianGivenMean+StdDev 
19 
26 
2016SchieldIASE 
20 
26 
2018SchieldASAFellowNomination 

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 

TOP
POPULAR STATLIT AUTHORS IN 2019 


GIGERENZER




TOP
ACADEMIC STATLIT AUTHORS IN 2017 



BRACEY



MOST POPULAR STATLIT PAGES in 2017 
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

2,217
StatLit Tools Excelbased 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

OTHER RECOMMENDED INTRO BOOKS 

Victor Cohn (1989),
News and Numbers

Darrell Huff
(1954),
How To Lie with Statistics


Edward Tufte (1995),
Visual Explanations

ACADEMIC TOPICS 

Articles

S/L Books


Courses

Q/L Texts

RECOMMENDED ARTICLES 


Webaccessible articles
presenting a general background or overview. Statistical Literacy:
Quantitative Literacy:

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

STATISTICS GUIDES 


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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2018 GENERAL INTEREST NEWS 

IMS 2019 PROFESSIONAL EVENTS
Statistics 
2020: May 1921
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 28Aug 1: JSM Denver.
ISLP Session (Jan)
Schield: Statistical
Literacy: A Study of Confounding
2019: May 1618.
USCOTS.
State College Pennsylvania
Schield's Workshop:
2019: Aug 1316.
IASE
Satellite Conference. Kuala Lumpur. Malaysia
2019: July 27Aug 1.
ASA JSM
Denver, Colorado

