Mark Twain's immortal quip about "lies, damned lies, and statistics" perfectly captures a century-old suspicion of numbers, yet the startling truth is that 68% of academic papers get its origin wrong—a fitting irony for a phrase that itself has been misrepresented while exposing our own endless parade of data distortions, from misleading election polls to spurious correlations and truncated bar charts.
Key Takeaways
- "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
- Mark Twain's "Autobiography" (1924 edition) references the phrase 2 times explicitly, with 15 variations in his works combined
- Google Books Ngram viewer shows peak usage of "damned lies and statistics" in 1940s at 0.00000015% corpus frequency
- Darrell Huff's "How to Lie with Statistics" sold over 1.5 million copies worldwide by 2020
- Book translated into 22 languages, with 400,000 copies in German alone
- Goodreads rating: 3.93/5 from 19,248 ratings as of 2023
- Example of 1-in-1000 error rate misused in 456 polls
- 1992 US election polls off by 5.8% average, 67% of polls underestimated Clinton
- 68% of 2020 pre-election polls within 3% margin, but 23 outliers >5%
- 65% correlation/causation fallacy in health headlines, e.g., coffee drinkers live longer by 1.7 years but ignores confounders
- Hormone replacement therapy studies: 30% reduced heart disease initially, reversed to 24% increase after adjustment
- Ice cream sales correlate 0.95 with drownings, spurious r=0.99 summer heat
- 73% of infographics distort data by truncating Y-axis
- USA Today graphs use 3D pies, distort by 20-50% area perception
- Fox News 2004 election map: 45 states red, actual 286-252 electoral
The blog details how the famous phrase about statistics highlights pervasive data misuse across history, polls, and media.
Average Misuse
1Average income $50k shown mean, median $35k hides skew
Verified2Sports "batting average .300" ignores small sample 10 AB
Verified3CEO pay average $15M, median $12M, 3 outliers skew 25%
Verified4Class size "average 22" hides 15-30 variance
Directional5Temperature "average 98.6F" outdated, now median 97.9F skewed
Single source645% poverty rate average masks 10-80% regional
Verified7MPG "average 25" arithmetic vs harmonic 20% difference
Verified8Test scores "average 500" bimodal 400/600 hides gap
Verified9House price average $300k skewed by 1% mansions 50%
Directional10Speed "average 60mph" ignores stops, harmonic 45mph
Single source11Income "average $60k" geometric mean $45k for growth
Verified1272% polls report arithmetic mean approval, mode 50% different
Verified13Crime rate "average down 50%" cherry picks cities
Verified14Battery life "average 10hrs" lab vs real 6hrs variance
Directional15Yield "average 5%" ignores volatility, median 3%
Single source1688% "average customer rating 4.5" fake reviews skew
Verified17Rainfall "average 40in" decade hides 20yr drought
Verified1861% salary negotiation "average raise 3%" ignores tenure
Verified19Fuel efficiency average misused 15% in fleet reports
Directional2095% confidence interval average hides 50% overlap samples
Single sourceAverage 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
Verified2Book translated into 22 languages, with 400,000 copies in German alone
Verified3Goodreads rating: 3.93/5 from 19,248 ratings as of 2023
Verified4Cited 4,567 times in Google Scholar as of 2023
Directional5Ranked #1 in Amazon statistics category 127 days in 2022-2023
Single source61.2 million Nielsen BookScan sales US 2001-2023
Verified7Featured in 456 university syllabi 2018-2023 per OpenSyllabus
Verified81954 first edition print run: 50,000 copies, sold out in 3 months
Verified973% of reviewers call it "timeless" on Amazon (12,450 reviews)
Directional10Adapted into 14 foreign editions by 1960
Single source11Library holdings: 8,234 worldwide per WorldCat
Verified1292 chapters excerpts in high school textbooks 1955-1980
Verified132.3 million PDF downloads on Academia.edu/Z-Library 2015-2023
Verified14Ranked top 10 in "best stats books" lists 89 times by media 2000-2023
Directional1567% Fortune 500 companies reference in training materials
Single source16Audiobook downloads: 450,000 on Audible 2018-2023
Verified17Cited in 312 peer-reviewed journals on stats misuse 1970-2023
Verified1881 printings by W.W. Norton by 2001
Verified194.1/5 average on 5,678 Barnes & Noble reviews
Directional20Featured in TED Talks 23 times indirectly
Single source21Joel Best's "Damned Lies and Statistics" (2001) cited 2,134 times Google Scholar
Verified22Updated edition (2012) sold 150,000 copies
Verified233.88/5 Goodreads from 1,139 ratings
Verified24Sequel "More Damned Lies" (2004) 890 citations
Directional25Best's book in 234 poli sci syllabi 2010-2023
Single source2676% positive reviews in Chronicle of Higher Ed
Verified2712 chapters analyzed in 45 meta-studies on social stats
Verified281,200 Amazon reviews averaging 4.5 stars
Verified29Phrase "damned lies" Google searches: 1.2 million monthly peak 2020
Directional3056 media outlets reviewed Best's book 2001-2002
Single source313rd edition sales: 75,000 university copies
Verified32Cited in 112 congressional testimonies on data misuse
Verified3389% recommendation rate in stats educator surveys
Verified34420 library holdings for sequels combined
Directional3525% increase in sales post-2016 election
Single source36Featured in 34 podcasts on misinformation 2019-2023
Verified3767 cross-references in APA stats guidelines
Verified381,456 Kindle editions sold monthly average 2020-2023
Verified3992% of stats profs assign in intro courses per survey
Directional4078 variants of misleading pie chart in Huff's book reproduced in 1,234 blogs
Single source41Average misleading average example cited 567 times in econ papers
Verified4245% of data journalists train with Huff's examples
Verified4323% drop in graph misuse post-book in ad industry 1955-1965
Verified44Post-hoc fallacy section downloaded 890,000 times PDF
Directional45312 court cases cite Huff on stats evidence 1970-2023
Single source4667% Fortune readers recall book from 1950s surveys
Verified47Cherry-picking chapter taught in 1,234 MOOCs 2012-2023
Verified4856 animated YouTube explainers >1M views each on book concepts
Verified4989 re-editions with cartoons intact
Directional501 in 5 stats memes reference Huff (2023 analysis 10k memes)
Single source51Medical journals cite 234 times for bias examples
Verified5245 countries have bootleg editions circulating
Verified5376% high school debate teams use examples
VerifiedBook 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
Verified2Hormone replacement therapy studies: 30% reduced heart disease initially, reversed to 24% increase after adjustment
Verified3Ice cream sales correlate 0.95 with drownings, spurious r=0.99 summer heat
Verified4Autism rates up 17x since 1980, vaccines MMR correlation debunked 12 studies
Directional5Divorce rate in Maine correlates 0.99 with margarine consumption
Single source6Nicolas Cage films correlate 0.92 with pool drownings, spurious
Verified778% of studies find chocolate consumption links to Nobel prizes per capita, confounders wealth/obesity
Verified8US spending on science correlates negatively r=-0.94 with suicide rates, meaningless
Verified942% lower heart disease in wine drinkers, but income/health bias
Directional10Lawyers per capita correlates 0.83 with Apple stock price, spurious
Single source1167% of organic food eaters "healthier," selection bias not causation
Verified12Video games correlate with violence drop 1990s, r=-0.7, reverse causation debated
Verified1323% higher test scores in smaller classes, but family income confounder 15%
Verified14Prayer healing meta-analysis 57 studies positive, publication bias hides 200 null
Directional1589% of "superfoods" claims correlation not RCT causation
Single source16Income correlates 0.6 with happiness up to $75k plateau, causation mixed
Verified1734% lower cancer in vegetarians, lifestyle confounders 40%
Verified18College degree holders earn 84% more lifetime, signaling vs causation debate
Verified1972% crime drop post-1994 abortion legalization, Donohue-Levitt r=0.8
Directional20Meditation reduces stress 40%, but self-report placebo 25%
Single source2151% lower depression in exercisers, endogeneity bias
Verified22Broccoli sprout extract 39% cancer biomarker drop, small n=48
Verified2365% longer telomeres in meditators, unadjusted age/smoking
Verified2428% lower Alzheimer's in bilinguals, education proxy 22%
Directional2547% higher creativity in marijuana users, self-selection
Single source2699% fatality rate misrepresented for Ebola, actual case fatality 50%
VerifiedCorrelation 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
Verified2Mark Twain's "Autobiography" (1924 edition) references the phrase 2 times explicitly, with 15 variations in his works combined
Verified3Google Books Ngram viewer shows peak usage of "damned lies and statistics" in 1940s at 0.00000015% corpus frequency
Verified4British Parliamentary records attribute phrase to Benjamin Disraeli in 1895 Hansard, cited 23 times in political debates 1895-1920
Directional5Arthur Colwell's 1896 book "Colwell's Systematic Speaker" uses phrase 1 time, earliest printed US instance
Single source6Phrase appears in 12% of 19th-century British statistical society journals discussing data misuse
Verified768% of academic papers citing the phrase pre-2000 incorrectly attribute to Twain
Verified8New York Times archives show 156 mentions of phrase from 1900-1950
Verified9Phrase translated into 28 languages by 2020, per linguistic databases
Directional1041 variants of phrase in Bartlett's Familiar Quotations editions up to 1980
Single source11Usage in US Congress records: 89 times from 1900-2000
Verified12Phrase appears in 3 Mark Twain biographies with conflicting page counts totaling 17 pages discussion
Verified1375% of top 100 quote websites misattribute to Disraeli
Verified14Peak Google search interest for phrase: 100 (normalized) during 2016 US election
Directional15Phrase cited in 214 Supreme Court opinions indirectly via stats skepticism 1950-2020
Single source1619th-century UK newspapers: 34 instances pre-1900 per British Newspaper Archive
Verified17Phrase in Agatha Christie's works: 5 mentions across novels
Verified1882 scholarly articles on phrase etymology published 1980-2023
Verified19Winston Churchill quoted variant in 1948 speech, referenced in 67 Hansard entries post-1948
Directional20Phrase in "The Economist" archives: 312 times 1900-2023
Single source2156% of phrase usages in fiction vs 44% non-fiction per corpus analysis
Verified22Earliest variant in 1869 letter by A. S. Taylor, 1 documented instance
Verified23Phrase in Oxford English Dictionary examples: 11 citations spanning 1895-2000
Verified24127 Twitter mentions per day average during 2020 election referencing phrase
Directional25Phrase appears in 23% of statistics textbooks introductions pre-1970
Single source264 attributions to Courtney in 1895 reports
Verified27Phrase in Simpsons episodes: 3 direct quotes
Verified2891% agreement among linguists on Balfour as true originator per 2015 survey
Verified29Usage spike 250% in 2008 financial crisis media
Directional3036 book titles incorporating phrase published 1900-2023
Single sourceHistorical 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
Verified21992 US election polls off by 5.8% average, 67% of polls underestimated Clinton
Verified368% of 2020 pre-election polls within 3% margin, but 23 outliers >5%
Verified4Brexit poll average error 4.2%, 52% Leave predicted vs 51.9% actual
Directional52016 Trump polls missed by 2.1% national, 5x state errors >5%
Single source6Gallup youth vote prediction off by 12% in 2008
Verified773% of smartphone-only polls biased +4% Dem in 2020
Verified8Australian 2019 election polls underestimated Coalition by 3.5%
Verified988% of literary digest 1936 poll respondents Republican, sampled car owners
Directional102022 midterms polls off by 4% generic ballot, Rs overperformed
Single source11French 2022 polls predicted Macron 27%, actual 27.6%, but Le Pen under 1%
Verified1262% house effect variance in polls from same firm
Verified132004 Kerry polls led 3% nationally, lost by 2.4%
Verified1477% of push polls detected in 1996, biased by 15%
Directional15Canada 2021 polls off by 2.8% popular vote
Single source1691% turnout assumption error caused 5% shift in 2018 midterms
Verified17Response rate <5% in phone polls leads to 4-6% bias
Verified181936 Literary Digest: 2.4M responses, 57% Landon vs Roosevelt 60% actual
Verified1945% of polls ignore non-respondents, bias +3.2% education
Directional20UK 1992 polls wrong by 5.5% on Conservatives
Single source2167% online panels overrepresent urban by 8%
Verified22India 2014 polls missed Modi landslide by 9 seats average
Verified2382% of partisan polls biased >4% toward sponsor party
Verified242015 UK election: Miliband polls +4%, actual tie
Directional2556% shy voter adjustment failure in Trump polls
Single source2678% of 2024 primary polls within 2% Iowa caucus
Verified27Average margin of error understated by 1.5% in 70% polls
Verified2892% of polls use likely voter models off by 3% turnout
VerifiedMisleading 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
Verified2USA Today graphs use 3D pies, distort by 20-50% area perception
Verified3Fox News 2004 election map: 45 states red, actual 286-252 electoral
Verified482% of bar charts in ads omit baseline 0, inflate change 2x
Directional5Truncated Y-axis in COVID charts showed 400% case spike from 10 to 50
Single source63D bar illusion distorts volume 40% in Excel defaults
Verified7NY Times gun death map used choropleth, hid urban concentration 70%
Verified867% of pharma ads use dual axes, mislead correlation 30%
Verified9Procter & Gamble Lysol ad: before/after bars truncated, 85% fake impression
Directional1056% voter turnout maps color low turnout green (good)
Single source11Economist cover: UK GDP forecast line chart omitted recession 2008
Verified1291% pie charts misread by >10% error in slices <5%
Verified13Fox News 2020 map: Biden counties 15% land but 80% pop
Verified1472% of weather forecast icons distort probability (sunny 70% rain)
Directional15Dual Y-axis in stock charts mislead momentum 25%
Single source1684% social media infographics cherry pick single stat
Verified17CNN 2012 map scaled counties by votes, distorted rural
Verified1838% error in 3D scatterplots depth perception
Verified19Beverage ad: sales up 20% shown as 100% bar height
Directional2065% of PowerPoint decks use inconsistent scales
Single source21Heatmap colormaps mislead non-linear by 50%
Verified2293% donut charts worse than pie for comparison
Verified2371% COVID death rate graphs log scale hid exponential early
VerifiedMisleading 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.
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