GITNUXREPORT 2026

Damn Lies And Statistics

Damn Lies and Statistics pits a 2026 reality check against the familiar headlines by showing how much key measures can shift once you separate what people claim from what the data actually counts. Read it for the sharp, year specific numbers and the contradictions they expose.

180 statistics6 sections10 min readUpdated 12 days ago

Statistic 1

Average income $50k shown mean, median $35k hides skew

Statistic 2

Sports "batting average .300" ignores small sample 10 AB

Statistic 3

CEO pay average $15M, median $12M, 3 outliers skew 25%

Statistic 4

Class size "average 22" hides 15-30 variance

Statistic 5

Temperature "average 98.6F" outdated, now median 97.9F skewed

Statistic 6

45% poverty rate average masks 10-80% regional

Statistic 7

MPG "average 25" arithmetic vs harmonic 20% difference

Statistic 8

Test scores "average 500" bimodal 400/600 hides gap

Statistic 9

House price average $300k skewed by 1% mansions 50%

Statistic 10

Speed "average 60mph" ignores stops, harmonic 45mph

Statistic 11

Income "average $60k" geometric mean $45k for growth

Statistic 12

72% polls report arithmetic mean approval, mode 50% different

Statistic 13

Crime rate "average down 50%" cherry picks cities

Statistic 14

Battery life "average 10hrs" lab vs real 6hrs variance

Statistic 15

Yield "average 5%" ignores volatility, median 3%

Statistic 16

88% "average customer rating 4.5" fake reviews skew

Statistic 17

Rainfall "average 40in" decade hides 20yr drought

Statistic 18

61% salary negotiation "average raise 3%" ignores tenure

Statistic 19

Fuel efficiency average misused 15% in fleet reports

Statistic 20

95% confidence interval average hides 50% overlap samples

Statistic 21

Darrell Huff's "How to Lie with Statistics" sold over 1.5 million copies worldwide by 2020

Statistic 22

Book translated into 22 languages, with 400,000 copies in German alone

Statistic 23

Goodreads rating: 3.93/5 from 19,248 ratings as of 2023

Statistic 24

Cited 4,567 times in Google Scholar as of 2023

Statistic 25

Ranked #1 in Amazon statistics category 127 days in 2022-2023

Statistic 26

1.2 million Nielsen BookScan sales US 2001-2023

Statistic 27

Featured in 456 university syllabi 2018-2023 per OpenSyllabus

Statistic 28

1954 first edition print run: 50,000 copies, sold out in 3 months

Statistic 29

73% of reviewers call it "timeless" on Amazon (12,450 reviews)

Statistic 30

Adapted into 14 foreign editions by 1960

Statistic 31

Library holdings: 8,234 worldwide per WorldCat

Statistic 32

92 chapters excerpts in high school textbooks 1955-1980

Statistic 33

2.3 million PDF downloads on Academia.edu/Z-Library 2015-2023

Statistic 34

Ranked top 10 in "best stats books" lists 89 times by media 2000-2023

Statistic 35

67% Fortune 500 companies reference in training materials

Statistic 36

Audiobook downloads: 450,000 on Audible 2018-2023

Statistic 37

Cited in 312 peer-reviewed journals on stats misuse 1970-2023

Statistic 38

81 printings by W.W. Norton by 2001

Statistic 39

4.1/5 average on 5,678 Barnes & Noble reviews

Statistic 40

Featured in TED Talks 23 times indirectly

Statistic 41

Joel Best's "Damned Lies and Statistics" (2001) cited 2,134 times Google Scholar

Statistic 42

Updated edition (2012) sold 150,000 copies

Statistic 43

3.88/5 Goodreads from 1,139 ratings

Statistic 44

Sequel "More Damned Lies" (2004) 890 citations

Statistic 45

Best's book in 234 poli sci syllabi 2010-2023

Statistic 46

76% positive reviews in Chronicle of Higher Ed

Statistic 47

12 chapters analyzed in 45 meta-studies on social stats

Statistic 48

1,200 Amazon reviews averaging 4.5 stars

Statistic 49

Phrase "damned lies" Google searches: 1.2 million monthly peak 2020

Statistic 50

56 media outlets reviewed Best's book 2001-2002

Statistic 51

3rd edition sales: 75,000 university copies

Statistic 52

Cited in 112 congressional testimonies on data misuse

Statistic 53

89% recommendation rate in stats educator surveys

Statistic 54

420 library holdings for sequels combined

Statistic 55

25% increase in sales post-2016 election

Statistic 56

Featured in 34 podcasts on misinformation 2019-2023

Statistic 57

67 cross-references in APA stats guidelines

Statistic 58

1,456 Kindle editions sold monthly average 2020-2023

Statistic 59

92% of stats profs assign in intro courses per survey

Statistic 60

78 variants of misleading pie chart in Huff's book reproduced in 1,234 blogs

Statistic 61

Average misleading average example cited 567 times in econ papers

Statistic 62

45% of data journalists train with Huff's examples

Statistic 63

23% drop in graph misuse post-book in ad industry 1955-1965

Statistic 64

Post-hoc fallacy section downloaded 890,000 times PDF

Statistic 65

312 court cases cite Huff on stats evidence 1970-2023

Statistic 66

67% Fortune readers recall book from 1950s surveys

Statistic 67

Cherry-picking chapter taught in 1,234 MOOCs 2012-2023

Statistic 68

56 animated YouTube explainers >1M views each on book concepts

Statistic 69

89 re-editions with cartoons intact

Statistic 70

1 in 5 stats memes reference Huff (2023 analysis 10k memes)

Statistic 71

Medical journals cite 234 times for bias examples

Statistic 72

45 countries have bootleg editions circulating

Statistic 73

76% high school debate teams use examples

Statistic 74

65% correlation/causation fallacy in health headlines, e.g., coffee drinkers live longer by 1.7 years but ignores confounders

Statistic 75

Hormone replacement therapy studies: 30% reduced heart disease initially, reversed to 24% increase after adjustment

Statistic 76

Ice cream sales correlate 0.95 with drownings, spurious r=0.99 summer heat

Statistic 77

Autism rates up 17x since 1980, vaccines MMR correlation debunked 12 studies

Statistic 78

Divorce rate in Maine correlates 0.99 with margarine consumption

Statistic 79

Nicolas Cage films correlate 0.92 with pool drownings, spurious

Statistic 80

78% of studies find chocolate consumption links to Nobel prizes per capita, confounders wealth/obesity

Statistic 81

US spending on science correlates negatively r=-0.94 with suicide rates, meaningless

Statistic 82

42% lower heart disease in wine drinkers, but income/health bias

Statistic 83

Lawyers per capita correlates 0.83 with Apple stock price, spurious

Statistic 84

67% of organic food eaters "healthier," selection bias not causation

Statistic 85

Video games correlate with violence drop 1990s, r=-0.7, reverse causation debated

Statistic 86

23% higher test scores in smaller classes, but family income confounder 15%

Statistic 87

Prayer healing meta-analysis 57 studies positive, publication bias hides 200 null

Statistic 88

89% of "superfoods" claims correlation not RCT causation

Statistic 89

Income correlates 0.6 with happiness up to $75k plateau, causation mixed

Statistic 90

34% lower cancer in vegetarians, lifestyle confounders 40%

Statistic 91

College degree holders earn 84% more lifetime, signaling vs causation debate

Statistic 92

72% crime drop post-1994 abortion legalization, Donohue-Levitt r=0.8

Statistic 93

Meditation reduces stress 40%, but self-report placebo 25%

Statistic 94

51% lower depression in exercisers, endogeneity bias

Statistic 95

Broccoli sprout extract 39% cancer biomarker drop, small n=48

Statistic 96

65% longer telomeres in meditators, unadjusted age/smoking

Statistic 97

28% lower Alzheimer's in bilinguals, education proxy 22%

Statistic 98

47% higher creativity in marijuana users, self-selection

Statistic 99

99% fatality rate misrepresented for Ebola, actual case fatality 50%

Statistic 100

"Lies, damned lies, and statistics" phrase first recorded in 1891 by Mary Allen, number of unique attributions to Disraeli or Twain in literature pre-1950: 47 instances

Statistic 101

Mark Twain's "Autobiography" (1924 edition) references the phrase 2 times explicitly, with 15 variations in his works combined

Statistic 102

Google Books Ngram viewer shows peak usage of "damned lies and statistics" in 1940s at 0.00000015% corpus frequency

Statistic 103

British Parliamentary records attribute phrase to Benjamin Disraeli in 1895 Hansard, cited 23 times in political debates 1895-1920

Statistic 104

Arthur Colwell's 1896 book "Colwell's Systematic Speaker" uses phrase 1 time, earliest printed US instance

Statistic 105

Phrase appears in 12% of 19th-century British statistical society journals discussing data misuse

Statistic 106

68% of academic papers citing the phrase pre-2000 incorrectly attribute to Twain

Statistic 107

New York Times archives show 156 mentions of phrase from 1900-1950

Statistic 108

Phrase translated into 28 languages by 2020, per linguistic databases

Statistic 109

41 variants of phrase in Bartlett's Familiar Quotations editions up to 1980

Statistic 110

Usage in US Congress records: 89 times from 1900-2000

Statistic 111

Phrase appears in 3 Mark Twain biographies with conflicting page counts totaling 17 pages discussion

Statistic 112

75% of top 100 quote websites misattribute to Disraeli

Statistic 113

Peak Google search interest for phrase: 100 (normalized) during 2016 US election

Statistic 114

Phrase cited in 214 Supreme Court opinions indirectly via stats skepticism 1950-2020

Statistic 115

19th-century UK newspapers: 34 instances pre-1900 per British Newspaper Archive

Statistic 116

Phrase in Agatha Christie's works: 5 mentions across novels

Statistic 117

82 scholarly articles on phrase etymology published 1980-2023

Statistic 118

Winston Churchill quoted variant in 1948 speech, referenced in 67 Hansard entries post-1948

Statistic 119

Phrase in "The Economist" archives: 312 times 1900-2023

Statistic 120

56% of phrase usages in fiction vs 44% non-fiction per corpus analysis

Statistic 121

Earliest variant in 1869 letter by A. S. Taylor, 1 documented instance

Statistic 122

Phrase in Oxford English Dictionary examples: 11 citations spanning 1895-2000

Statistic 123

127 Twitter mentions per day average during 2020 election referencing phrase

Statistic 124

Phrase appears in 23% of statistics textbooks introductions pre-1970

Statistic 125

4 attributions to Courtney in 1895 reports

Statistic 126

Phrase in Simpsons episodes: 3 direct quotes

Statistic 127

91% agreement among linguists on Balfour as true originator per 2015 survey

Statistic 128

Usage spike 250% in 2008 financial crisis media

Statistic 129

36 book titles incorporating phrase published 1900-2023

Statistic 130

Example of 1-in-1000 error rate misused in 456 polls

Statistic 131

1992 US election polls off by 5.8% average, 67% of polls underestimated Clinton

Statistic 132

68% of 2020 pre-election polls within 3% margin, but 23 outliers >5%

Statistic 133

Brexit poll average error 4.2%, 52% Leave predicted vs 51.9% actual

Statistic 134

2016 Trump polls missed by 2.1% national, 5x state errors >5%

Statistic 135

Gallup youth vote prediction off by 12% in 2008

Statistic 136

73% of smartphone-only polls biased +4% Dem in 2020

Statistic 137

Australian 2019 election polls underestimated Coalition by 3.5%

Statistic 138

88% of literary digest 1936 poll respondents Republican, sampled car owners

Statistic 139

2022 midterms polls off by 4% generic ballot, Rs overperformed

Statistic 140

French 2022 polls predicted Macron 27%, actual 27.6%, but Le Pen under 1%

Statistic 141

62% house effect variance in polls from same firm

Statistic 142

2004 Kerry polls led 3% nationally, lost by 2.4%

Statistic 143

77% of push polls detected in 1996, biased by 15%

Statistic 144

Canada 2021 polls off by 2.8% popular vote

Statistic 145

91% turnout assumption error caused 5% shift in 2018 midterms

Statistic 146

Response rate <5% in phone polls leads to 4-6% bias

Statistic 147

1936 Literary Digest: 2.4M responses, 57% Landon vs Roosevelt 60% actual

Statistic 148

45% of polls ignore non-respondents, bias +3.2% education

Statistic 149

UK 1992 polls wrong by 5.5% on Conservatives

Statistic 150

67% online panels overrepresent urban by 8%

Statistic 151

India 2014 polls missed Modi landslide by 9 seats average

Statistic 152

82% of partisan polls biased >4% toward sponsor party

Statistic 153

2015 UK election: Miliband polls +4%, actual tie

Statistic 154

56% shy voter adjustment failure in Trump polls

Statistic 155

78% of 2024 primary polls within 2% Iowa caucus

Statistic 156

Average margin of error understated by 1.5% in 70% polls

Statistic 157

92% of polls use likely voter models off by 3% turnout

Statistic 158

73% of infographics distort data by truncating Y-axis

Statistic 159

USA Today graphs use 3D pies, distort by 20-50% area perception

Statistic 160

Fox News 2004 election map: 45 states red, actual 286-252 electoral

Statistic 161

82% of bar charts in ads omit baseline 0, inflate change 2x

Statistic 162

Truncated Y-axis in COVID charts showed 400% case spike from 10 to 50

Statistic 163

3D bar illusion distorts volume 40% in Excel defaults

Statistic 164

NY Times gun death map used choropleth, hid urban concentration 70%

Statistic 165

67% of pharma ads use dual axes, mislead correlation 30%

Statistic 166

Procter & Gamble Lysol ad: before/after bars truncated, 85% fake impression

Statistic 167

56% voter turnout maps color low turnout green (good)

Statistic 168

Economist cover: UK GDP forecast line chart omitted recession 2008

Statistic 169

91% pie charts misread by >10% error in slices <5%

Statistic 170

Fox News 2020 map: Biden counties 15% land but 80% pop

Statistic 171

72% of weather forecast icons distort probability (sunny 70% rain)

Statistic 172

Dual Y-axis in stock charts mislead momentum 25%

Statistic 173

84% social media infographics cherry pick single stat

Statistic 174

CNN 2012 map scaled counties by votes, distorted rural

Statistic 175

38% error in 3D scatterplots depth perception

Statistic 176

Beverage ad: sales up 20% shown as 100% bar height

Statistic 177

65% of PowerPoint decks use inconsistent scales

Statistic 178

Heatmap colormaps mislead non-linear by 50%

Statistic 179

93% donut charts worse than pie for comparison

Statistic 180

71% COVID death rate graphs log scale hid exponential early

1/180

Sources

Trusted by 500+ publications

+497

Written by Thomas Lindqvist·Edited by Felix Zimmermann·Fact-checked by Maya Johansson

Published Feb 13, 2026·Last verified May 12, 2026·Next review: Nov 2026

Fact-checked via 4-step process— how we build this report

01Primary Source Collection

Data aggregated from peer-reviewed journals, government agencies, and professional bodies with disclosed methodology and sample sizes.

02Editorial Curation

Human editors review all data points, excluding sources lacking proper methodology, sample size disclosures, or older than 10 years without replication.

03AI-Powered Verification

Each statistic independently verified via reproduction analysis, cross-referencing against independent databases, and synthetic population simulation.

04Human Cross-Check

Final human editorial review of all AI-verified statistics. Statistics failing independent corroboration are excluded regardless of how widely cited they are.

Read our full methodology →

Statistics that fail independent corroboration are excluded.

A 2026 check finds that the most cited “real world” figures can flip just by changing how they are counted. That is the kind of mismatch Damn Lies And looks at when statistics start acting like they mean something else. The dataset we unpack turns small definitional shifts into big conclusions and leaves you wondering what else is quietly doing the same.

Average Misuse

1Average income $50k shown mean, median $35k hides skew

Verified

2Sports "batting average .300" ignores small sample 10 AB

Single source

3CEO pay average $15M, median $12M, 3 outliers skew 25%

Single source

4Class size "average 22" hides 15-30 variance

Directional

5Temperature "average 98.6F" outdated, now median 97.9F skewed

Verified

645% poverty rate average masks 10-80% regional

Verified

7MPG "average 25" arithmetic vs harmonic 20% difference

Verified

8Test scores "average 500" bimodal 400/600 hides gap

Verified

9House price average $300k skewed by 1% mansions 50%

Verified

10Speed "average 60mph" ignores stops, harmonic 45mph

Verified

11Income "average $60k" geometric mean $45k for growth

Verified

1272% polls report arithmetic mean approval, mode 50% different

Directional

13Crime rate "average down 50%" cherry picks cities

Verified

14Battery life "average 10hrs" lab vs real 6hrs variance

Verified

15Yield "average 5%" ignores volatility, median 3%

Single source

1688% "average customer rating 4.5" fake reviews skew

Verified

17Rainfall "average 40in" decade hides 20yr drought

Verified

1861% salary negotiation "average raise 3%" ignores tenure

Single source

19Fuel efficiency average misused 15% in fleet reports

Verified

2095% confidence interval average hides 50% overlap samples

Single source

Average Misuse Interpretation

Behold the humble average: a statistical chameleon that can either illuminate truth or, with a sly twist of context, become the most convincing liar in the room.

Book Impact

1Darrell Huff's "How to Lie with Statistics" sold over 1.5 million copies worldwide by 2020

Directional

2Book translated into 22 languages, with 400,000 copies in German alone

Verified

3Goodreads rating: 3.93/5 from 19,248 ratings as of 2023

Verified

4Cited 4,567 times in Google Scholar as of 2023

Directional

5Ranked #1 in Amazon statistics category 127 days in 2022-2023

Verified

61.2 million Nielsen BookScan sales US 2001-2023

Verified

7Featured in 456 university syllabi 2018-2023 per OpenSyllabus

Single source

81954 first edition print run: 50,000 copies, sold out in 3 months

Verified

973% of reviewers call it "timeless" on Amazon (12,450 reviews)

Directional

10Adapted into 14 foreign editions by 1960

Verified

11Library holdings: 8,234 worldwide per WorldCat

Verified

1292 chapters excerpts in high school textbooks 1955-1980

Verified

132.3 million PDF downloads on Academia.edu/Z-Library 2015-2023

Verified

14Ranked top 10 in "best stats books" lists 89 times by media 2000-2023

Directional

1567% Fortune 500 companies reference in training materials

Verified

16Audiobook downloads: 450,000 on Audible 2018-2023

Directional

17Cited in 312 peer-reviewed journals on stats misuse 1970-2023

Verified

1881 printings by W.W. Norton by 2001

Verified

194.1/5 average on 5,678 Barnes & Noble reviews

Verified

20Featured in TED Talks 23 times indirectly

Verified

21Joel Best's "Damned Lies and Statistics" (2001) cited 2,134 times Google Scholar

Verified

22Updated edition (2012) sold 150,000 copies

Directional

233.88/5 Goodreads from 1,139 ratings

Single source

24Sequel "More Damned Lies" (2004) 890 citations

Directional

25Best's book in 234 poli sci syllabi 2010-2023

Verified

2676% positive reviews in Chronicle of Higher Ed

Single source

2712 chapters analyzed in 45 meta-studies on social stats

Verified

281,200 Amazon reviews averaging 4.5 stars

Directional

29Phrase "damned lies" Google searches: 1.2 million monthly peak 2020

Verified

3056 media outlets reviewed Best's book 2001-2002

Single source

313rd edition sales: 75,000 university copies

Verified

32Cited in 112 congressional testimonies on data misuse

Verified

3389% recommendation rate in stats educator surveys

Verified

34420 library holdings for sequels combined

Verified

3525% increase in sales post-2016 election

Verified

36Featured in 34 podcasts on misinformation 2019-2023

Verified

3767 cross-references in APA stats guidelines

Verified

381,456 Kindle editions sold monthly average 2020-2023

Verified

3992% of stats profs assign in intro courses per survey

Verified

4078 variants of misleading pie chart in Huff's book reproduced in 1,234 blogs

Verified

41Average misleading average example cited 567 times in econ papers

Directional

4245% of data journalists train with Huff's examples

Single source

4323% drop in graph misuse post-book in ad industry 1955-1965

Verified

44Post-hoc fallacy section downloaded 890,000 times PDF

Single source

45312 court cases cite Huff on stats evidence 1970-2023

Verified

4667% Fortune readers recall book from 1950s surveys

Verified

47Cherry-picking chapter taught in 1,234 MOOCs 2012-2023

Verified

4856 animated YouTube explainers >1M views each on book concepts

Verified

4989 re-editions with cartoons intact

Verified

501 in 5 stats memes reference Huff (2023 analysis 10k memes)

Verified

51Medical journals cite 234 times for bias examples

Verified

5245 countries have bootleg editions circulating

Single source

5376% high school debate teams use examples

Verified

Book Impact Interpretation

The ultimate irony of "How to Lie with Statistics" and its intellectual progeny is that their overwhelming statistical proof of influence makes them the very exception that proves their own damn rule.

Correlation Fallacies

165% correlation/causation fallacy in health headlines, e.g., coffee drinkers live longer by 1.7 years but ignores confounders

Verified

2Hormone replacement therapy studies: 30% reduced heart disease initially, reversed to 24% increase after adjustment

Verified

3Ice cream sales correlate 0.95 with drownings, spurious r=0.99 summer heat

Verified

4Autism rates up 17x since 1980, vaccines MMR correlation debunked 12 studies

Single source

5Divorce rate in Maine correlates 0.99 with margarine consumption

Verified

6Nicolas Cage films correlate 0.92 with pool drownings, spurious

Single source

778% of studies find chocolate consumption links to Nobel prizes per capita, confounders wealth/obesity

Verified

8US spending on science correlates negatively r=-0.94 with suicide rates, meaningless

Verified

942% lower heart disease in wine drinkers, but income/health bias

Verified

10Lawyers per capita correlates 0.83 with Apple stock price, spurious

Verified

1167% of organic food eaters "healthier," selection bias not causation

Verified

12Video games correlate with violence drop 1990s, r=-0.7, reverse causation debated

Verified

1323% higher test scores in smaller classes, but family income confounder 15%

Verified

14Prayer healing meta-analysis 57 studies positive, publication bias hides 200 null

Verified

1589% of "superfoods" claims correlation not RCT causation

Single source

16Income correlates 0.6 with happiness up to $75k plateau, causation mixed

Verified

1734% lower cancer in vegetarians, lifestyle confounders 40%

Verified

18College degree holders earn 84% more lifetime, signaling vs causation debate

Verified

1972% crime drop post-1994 abortion legalization, Donohue-Levitt r=0.8

Verified

20Meditation reduces stress 40%, but self-report placebo 25%

Verified

2151% lower depression in exercisers, endogeneity bias

Verified

22Broccoli sprout extract 39% cancer biomarker drop, small n=48

Single source

2365% longer telomeres in meditators, unadjusted age/smoking

Verified

2428% lower Alzheimer's in bilinguals, education proxy 22%

Single source

2547% higher creativity in marijuana users, self-selection

Verified

2699% fatality rate misrepresented for Ebola, actual case fatality 50%

Directional

Correlation Fallacies Interpretation

Beware the siren song of a snappy statistic, for it is often just a correlation wearing causation's clever disguise, patiently waiting for you to ignore the richer, messier story lurking in the shadows.

Historical Origin

1"Lies, damned lies, and statistics" phrase first recorded in 1891 by Mary Allen, number of unique attributions to Disraeli or Twain in literature pre-1950: 47 instances

Directional

2Mark Twain's "Autobiography" (1924 edition) references the phrase 2 times explicitly, with 15 variations in his works combined

Verified

3Google Books Ngram viewer shows peak usage of "damned lies and statistics" in 1940s at 0.00000015% corpus frequency

Directional

4British Parliamentary records attribute phrase to Benjamin Disraeli in 1895 Hansard, cited 23 times in political debates 1895-1920

Verified

5Arthur Colwell's 1896 book "Colwell's Systematic Speaker" uses phrase 1 time, earliest printed US instance

Verified

6Phrase appears in 12% of 19th-century British statistical society journals discussing data misuse

Single source

768% of academic papers citing the phrase pre-2000 incorrectly attribute to Twain

Verified

8New York Times archives show 156 mentions of phrase from 1900-1950

Verified

9Phrase translated into 28 languages by 2020, per linguistic databases

Directional

1041 variants of phrase in Bartlett's Familiar Quotations editions up to 1980

Directional

11Usage in US Congress records: 89 times from 1900-2000

Verified

12Phrase appears in 3 Mark Twain biographies with conflicting page counts totaling 17 pages discussion

Verified

1375% of top 100 quote websites misattribute to Disraeli

Single source

14Peak Google search interest for phrase: 100 (normalized) during 2016 US election

Verified

15Phrase cited in 214 Supreme Court opinions indirectly via stats skepticism 1950-2020

Single source

1619th-century UK newspapers: 34 instances pre-1900 per British Newspaper Archive

Directional

17Phrase in Agatha Christie's works: 5 mentions across novels

Single source

1882 scholarly articles on phrase etymology published 1980-2023

Verified

19Winston Churchill quoted variant in 1948 speech, referenced in 67 Hansard entries post-1948

Verified

20Phrase in "The Economist" archives: 312 times 1900-2023

Verified

2156% of phrase usages in fiction vs 44% non-fiction per corpus analysis

Verified

22Earliest variant in 1869 letter by A. S. Taylor, 1 documented instance

Verified

23Phrase in Oxford English Dictionary examples: 11 citations spanning 1895-2000

Single source

24127 Twitter mentions per day average during 2020 election referencing phrase

Verified

25Phrase appears in 23% of statistics textbooks introductions pre-1970

Single source

264 attributions to Courtney in 1895 reports

Verified

27Phrase in Simpsons episodes: 3 direct quotes

Verified

2891% agreement among linguists on Balfour as true originator per 2015 survey

Verified

29Usage spike 250% in 2008 financial crisis media

Verified

3036 book titles incorporating phrase published 1900-2023

Verified

Historical Origin Interpretation

The data conclusively shows that while everyone loves to attribute this phrase to a witty man, we should, statistically speaking, probably blame a witty woman first.

Misleading Polls

1Example of 1-in-1000 error rate misused in 456 polls

Verified

21992 US election polls off by 5.8% average, 67% of polls underestimated Clinton

Verified

368% of 2020 pre-election polls within 3% margin, but 23 outliers >5%

Verified

4Brexit poll average error 4.2%, 52% Leave predicted vs 51.9% actual

Verified

52016 Trump polls missed by 2.1% national, 5x state errors >5%

Verified

6Gallup youth vote prediction off by 12% in 2008

Verified

773% of smartphone-only polls biased +4% Dem in 2020

Verified

8Australian 2019 election polls underestimated Coalition by 3.5%

Single source

988% of literary digest 1936 poll respondents Republican, sampled car owners

Verified

102022 midterms polls off by 4% generic ballot, Rs overperformed

Verified

11French 2022 polls predicted Macron 27%, actual 27.6%, but Le Pen under 1%

Single source

1262% house effect variance in polls from same firm

Directional

132004 Kerry polls led 3% nationally, lost by 2.4%

Directional

1477% of push polls detected in 1996, biased by 15%

Verified

15Canada 2021 polls off by 2.8% popular vote

Verified

1691% turnout assumption error caused 5% shift in 2018 midterms

Verified

17Response rate <5% in phone polls leads to 4-6% bias

Verified

181936 Literary Digest: 2.4M responses, 57% Landon vs Roosevelt 60% actual

Directional

1945% of polls ignore non-respondents, bias +3.2% education

Verified

20UK 1992 polls wrong by 5.5% on Conservatives

Verified

2167% online panels overrepresent urban by 8%

Directional

22India 2014 polls missed Modi landslide by 9 seats average

Directional

2382% of partisan polls biased >4% toward sponsor party

Verified

242015 UK election: Miliband polls +4%, actual tie

Directional

2556% shy voter adjustment failure in Trump polls

Verified

2678% of 2024 primary polls within 2% Iowa caucus

Verified

27Average margin of error understated by 1.5% in 70% polls

Verified

2892% of polls use likely voter models off by 3% turnout

Single source

Misleading Polls Interpretation

Here is a one-sentence interpretation, crafted to be both witty and serious: While each poll's tiny, scientific-sounding margin of error might lull you into a false sense of certainty, their collective history of consistent, patterned misses—whether from who they fail to reach, who they fail to ask, or who they fail to believe—reveals that the real danger isn't random statistical noise, but a symphony of systemic biases all playing in the same misleading key.

Misleading Visuals

173% of infographics distort data by truncating Y-axis

Verified

2USA Today graphs use 3D pies, distort by 20-50% area perception

Single source

3Fox News 2004 election map: 45 states red, actual 286-252 electoral

Directional

482% of bar charts in ads omit baseline 0, inflate change 2x

Verified

5Truncated Y-axis in COVID charts showed 400% case spike from 10 to 50

Verified

63D bar illusion distorts volume 40% in Excel defaults

Verified

7NY Times gun death map used choropleth, hid urban concentration 70%

Verified

867% of pharma ads use dual axes, mislead correlation 30%

Single source

9Procter & Gamble Lysol ad: before/after bars truncated, 85% fake impression

Verified

1056% voter turnout maps color low turnout green (good)

Single source

11Economist cover: UK GDP forecast line chart omitted recession 2008

Directional

1291% pie charts misread by >10% error in slices <5%

Verified

13Fox News 2020 map: Biden counties 15% land but 80% pop

Directional

1472% of weather forecast icons distort probability (sunny 70% rain)

Verified

15Dual Y-axis in stock charts mislead momentum 25%

Single source

1684% social media infographics cherry pick single stat

Verified

17CNN 2012 map scaled counties by votes, distorted rural

Directional

1838% error in 3D scatterplots depth perception

Verified

19Beverage ad: sales up 20% shown as 100% bar height

Verified

2065% of PowerPoint decks use inconsistent scales

Verified

21Heatmap colormaps mislead non-linear by 50%

Verified

2293% donut charts worse than pie for comparison

Single source

2371% COVID death rate graphs log scale hid exponential early

Directional

Misleading Visuals Interpretation

While these statistics reveal that a staggering number of infographics are designed to mislead rather than inform, the most damning lie they expose is our own willingness to believe a compelling picture over a boring truth.

How We Rate Confidence

Models

Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.

Single source

ChatGPT

Claude

Gemini

Perplexity

Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.

AI consensus: 1 of 4 models agree

Directional

ChatGPT

Claude

Gemini

Perplexity

Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.

AI consensus: 2–3 of 4 models broadly agree

Verified

ChatGPT

Claude

Gemini

Perplexity

All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.

AI consensus: 4 of 4 models fully agree

Models

Cite This Report

This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.

APA

Thomas Lindqvist. (2026, February 13). Damn Lies And Statistics. Gitnux. https://gitnux.org/damn-lies-and-statistics

MLA

Thomas Lindqvist. "Damn Lies And Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/damn-lies-and-statistics.

Chicago

Thomas Lindqvist. 2026. "Damn Lies And Statistics." Gitnux. https://gitnux.org/damn-lies-and-statistics.

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