# Statistics

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**Statistics** is a mathematical science pertaining to the collection, analysis, interpretation and presentation of data.

## Contents

## Quotes[edit]

- In the 1930s English statistical theory was beginning to travel, with contributions from, amongst others, Hotelling and Snedecor in America and Darmois in France, but its home was still in England where there were four important centres: University College London, Rothamsted Experimental Station, Edinburgh University and Cambridge University with University College and Rothamsted far in the lead. Although Cambridge University was slow to adopt modern statistical theory, Cambridge men–Karl Pearson, Edmund Whittaker and Ronald Fisher–had put the other places on the statistical map. University College was the most established centre and its importance went back to 1893 when Karl Pearson, the professor of applied mathematics, first collaborated with Raphael Weldon, the professor of zoology on a subject they called “biometry.” There was a second surge in the “English statistical school” associated with R. A. Fisher who went to work at Rothamsted in 1919.
- Aldrich, John (December 2009). "England and Continental Probability in the Inter-War Years".
*Electronic Journal for History of Probability and Statistics***5**(2): 5-6.

- Aldrich, John (December 2009). "England and Continental Probability in the Inter-War Years".

- I wish that people would be persuaded that psychological experiments, especially those on the complex functions, are not improved (by large studies); the statistical method gives only mediocre results; some recent examples demonstrate that. The American authors, who love to do things big, often publish experiments that have been conducted on hundreds and thousands of people; they instinctively obey the prejudice that the persuasiveness of a work is proportional to the number of observations. This is only an illusion.
- Alfred Binet (1903).
*L’Etude experimentale de l’intelligence.*Paris: Schleicher Freres and Cie. p. 299; As cited in: Carson (1999, 360)

- Alfred Binet (1903).

**Essentially, all models are wrong, but some are useful.**- Attributed to statistician, George E. P. Box quoted in (1987).
*Empirical Model-Building and Response Surfaces*, p. 424,

- Attributed to statistician, George E. P. Box quoted in (1987).

**There are three kinds of lies: lies, damned lies, and statistics.**- Attributed to Benjamin Disraeli by Mark Twain in "Chapters from My Autobiography — XX",
*North American Review*No. DCXVIII (JULY 5, 1907) [1]. His attribution is unverified and the origin is uncertain: see Lies, damned lies, and statistics and Leonard H. Courtney. Other authors to whom the quote has been attributed, as reported in*Respectfully Quoted: A Dictionary of Quotations*(1989), include Henry Labouchère, Abram S. Hewitt, and Holloway H. Frost.

- Attributed to Benjamin Disraeli by Mark Twain in "Chapters from My Autobiography — XX",

**Statistics has been the most successful information science.**

Those who ignore Statistics are condemned to reinvent it.- Attributed to Bradley Efron by Jerome H. Friedman (April 2001). "The Role of Statistics in the Data Revolution?".
*International Statistical Review***69**: 5-10.

- Attributed to Bradley Efron by Jerome H. Friedman (April 2001). "The Role of Statistics in the Data Revolution?".

- The rise of biometry in this 20th century, like that of geometry in the 3rd century before Christ, seems to mark out one of the great ages or critical periods in the advance of the human understanding.
- Sir R.A. Fisher (Sept 1948). "Biometry".
*Biometrics***4**: 217-219.

- Sir R.A. Fisher (Sept 1948). "Biometry".

- A well-wrapped statistic is better than Hitler's "big lie"; it misleads, yet it cannot be pinned on you.
- Darrell Huff,
*How to Lie with Statistics*(1954), introduction

- Darrell Huff,

- Statistics are like a bikini. What they reveal is suggestive, but what they conceal is vital.
- Aaron Levenstein (1911–1986), quoted by Laurence J. Peter in
*Quotations for Our Time*(1977), requoted in Oxford Essential Quotations (4 ed.) (2016)

- Aaron Levenstein (1911–1986), quoted by Laurence J. Peter in

**Politicians use statistics in the same way that a drunk uses lampposts — for support rather than illumination.**- Andrew Lang, in a 1910 speech: as quoted in Alan L. Mackay, The Harvest of a Quiet Eye (1977), and reported in Chambers Dictionary of Quotations (2005), p. 488.

- Without the aid of statistics nothing like real medicine is possible.
- Pierre Charles Alexandre Louis
- Quoted in
*Evidence-based medicine: old French wine with a new Canadian label?*, P K Rangachari, J R Soc Med. 1997 May; 90(5): 280–284.

**While it is easy to lie with statistics, it is even easier to lie without them.**- Attributed to Frederick Mosteller in Murray, Charles (2005). "How to Accuse the Other Guy of Lying with Statistics".
*Statistical Science***20**(3): 239-241. ISSN 0883-4237. Retrieved on 2011-08-22.

- Attributed to Frederick Mosteller in Murray, Charles (2005). "How to Accuse the Other Guy of Lying with Statistics".
**91.7 percent of all statistics are made-up on the spot.**- Anonymous

**In God we trust. All others must bring data.**- Variants:
*In God we trust. All others must have data.*and*In God we trust, others must provide data.* - Proverbial, variant of "In God we trust. All others (pay) cash.", which dates to at least 1877 US.
- Earliest attestation 1978, which already refers to it as a cliche:
- I should like to close by citing a well-recognized cliche in scientific circles. The cliche is, "
**In God we trust, others must provide data.**" - Effect of Smoking on Nonsmokers: Hearing Before the Subcommittee on Tobacco of the Committee on Agriculture, House of Representatives, Ninety-fifth Congress, Second Session, September 7, 1978, p. 5 (quoting Edwin R. Fisher, brother of Bernard Fisher)

- I should like to close by citing a well-recognized cliche in scientific circles. The cliche is, "
- Other earlier example 1981, in "Test Bias: in God We Trust; All Others Must Have Data", Cecil R. Reynolds, Invited address for the APA Division of Evaluation and Measurement, to the annual meeting of the American Psychological Association, August 1981.
- Published as "Test bias: In God we trust, all others must have data." Journal of Special Education, 17(3), 214–268 (1983), DOI: https://doi.org/10.1177/002246698301700303

- Later attestation
^{[1]}"1984 W. J. Youden Memorial Address: The Key Role of Statisticians in the Transformation of North American Industry", by Brian L. Joiner (at American Statistical Association fall conference), transcript published variously:*ASQ Statistics Division Newsletter*, volume 6, number 2 (1985)*The American Statistician*Vol. 39, No. 3 (Aug., 1985), pp. 224-227, DOI: 10.2307/2683943, p. 226:*We [Statisticians] can show how understanding processes helps provide ways for data-based communication of departmental needs. We can help to eliminate finger-pointing and get down to the facts. "In God we trust. All others must bring data." Or, "Facts often kill a good argument."*

- Frequently attributed to W. Edwards Deming; it appears in
*The Deming Management Method*, by Mary Walton, 1986, p. 96, without any attribution, to Deming or anyone else:- Chapter 20: Doing It with Data: "In God we trust. All others must bring data." If there is a credo for statisticians, it is that.

- Variants:

**To understand God's thoughts we must study statistics, for these are the measure of his purpose.**- Florence Nightingale, quoted in Karl Pearson,
*Life of Francis Galton*, vol.II, ch.xiii, sect.i

- Florence Nightingale, quoted in Karl Pearson,

**The true foundation of theology is to ascertain the character of God.**It is by the art of statistics that law in the social sphere can be ascertained and codified, and certain aspects of the character of God thereby revealed.**The study of statistics is thus a religious service.**- Attributed to Florence Nightingale by F.N. David in
*Games, Gods, and Gambling: A History of Probability and Statistical Ideas*, 1962, page 103.

- Attributed to Florence Nightingale by F.N. David in

- Average a left-hander with a right-hander and what do you get?
- Donald Norman,
*The Design of Everyday Things*(1988), Ch. 6, p. 162

- Donald Norman,

- Although its evolution in the United States differed markedly from that of applied mathematics, statistics, too, benefited from the presence of the emigres and from the overall war effort. After a protracted period of professional differentiation from the social scientists and from the social sciences, mathematical statisticians had formed their own society, the Institute of Mathematical Statistics (IMS), in 1935. By 1938, the IMS had also taken over responsibility for the
*Annals of Mathematical Statistics*, a journal that had been founded in 1929 to serve the needs of the more mathematically and theoretically inclined statistical practitioners. Thus, when refugees like Neyman, William Feller, Mark Kac, and Abraham Wald took up positions in the United States at Berkeley, Brown, Cornell, and Columbia, respectively, they were able to participate in a young, but viable, community of mathematical statisticians.- Karen Hunger Parshall, "Perspectives on American Mathematics",
*Bulletin of the American Mathematical Society*(2000) 37: 381–405.

- Karen Hunger Parshall, "Perspectives on American Mathematics",

- Numbers and stats bob in a sentimental slop, a swampy slurry of bits of hard data and buckets of mushy manipulation.
- Laura Penny, More Money Than Brains, p. 28

- The individual source of the statistics may easily be the weakest link. Harold Cox tells a story of his life as a young man in India. He quoted some statistics to a Judge, an Englishman, and a very good fellow. His friend said, Cox, when you are a bit older, you will not quote Indian statistics with that assurance. The Government are very keen on amassing statistics—they collect them, add them, raise them to the nth power, take the cube root and prepare wonderful diagrams. But what you must never forget is that every one of those figures comes in the first instance from the
*chowty dar*[chowkidar] (village watchman), who just puts down what he damn pleases.- Josiah Stamp, recounting a story from Harold Cox,
*Some Economic Factors in Modern Life*(1929), p. 258.

- Josiah Stamp, recounting a story from Harold Cox,

**Thomasina**: If there is an equation for a curve like a bell, there must be an equation for one like a bluebell, and if a bluebell, why not a rose? Do we believe nature is written in numbers?

**Septimus**: We do.

**Thomasina**: Then why do your shapes describe only the shapes of manufacture?

**Septimus**: I do not know.

**Thomasina**: Armed thus, God could only make a cabinet.- Tom Stoppard,
*Arcadia*(1993)

- Tom Stoppard,

**There are two kinds of statistics, the kind you look up and the kind you make up.**- Archie Goodwin, in Rex Stout's Nero Wolfe novel
*Death of a Doxy*(1966)

- Archie Goodwin, in Rex Stout's Nero Wolfe novel

- The death of one man is a tragedy, the death of millions is a statistic.
*Variants*: One death is a tragedy. A million deaths is just a statistic.

A single death is a tragedy; a million deaths is a statistic.

When one dies, it is a tragedy. When a million die, it is a statistic.- This quotation may originate from "Französischer Witz" (1925) by Kurt Tucholsky: "Darauf sagt ein Diplomat vom Quai d'Orsay: «Der Krieg? Ich kann das nicht so schrecklich finden! Der Tod eines Menschen: das ist eine Katastrophe. Hunderttausend Tote: das ist eine Statistik!»" ("To which a Quai d'Orsay diplomat replies: «The war? I can't find it so terrible! The death of one man: that is a catastrophe. One hundred thousand deaths: that is a statistic!»")

**Statistical thinking will one day be as necessary for efficient citizenship as the ability to read or write.**- Attributed to H. G. Wells by Darrell Huff in
*How to Lie with Statistics*(1954), epigraph - The actual quote referenced mathematics in general rather than statistics:
**The great body of physical science, a great deal of the essential fact of financial science, and endless social and political problems are only accessible and only thinkable to those who have had a sound training in mathematical analysis, and the time may not be very remote when it will be understood that for complete initiation as an efficient citizen of one of the new great complex world-wide States that are now developing, it is as necessary to be able to compute, to think in averages and maxima and minima, as it is now to be able to read and write.**[HG Wells 1911, Mankind in the Making 2041]- Tankard, James W Jr. (February 1979). "The H.G. Wells quote on statistics: A question of accuracy".
*Historia Mathematica***6**(1): 30-33. DOI:10.1016/0315-0860(79)90101-0. - According to Tankard: It might be argued that statistics and mathematics were closely related in Wells' mind, and that when he wrote this passage he was to some extent thinking of procedures we would now regard as statistics. That is conjecture, however. Earlier sections of the paragraph deal with arithmetic and geometry, and its literal topic is mathematics. It doesn't contain the word "statistics " even though the term was clearly in use at the time of Well:' writing [Yule 19051].

- Attributed to H. G. Wells by Darrell Huff in

## See also[edit]

## References[edit]

- ↑ “In God we trust. All others must bring data”, Barry Popik,
*The Big Apple*, October 19, 2015