Statistics

"The best thing about being a statistician is that you get to play in everyone's backyard"

"Far better an approximate answer to the right question, which is often vague, than an exact answer to the wrong question, which can always be made precise."

"The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data."

"The death of one man is a tragedy, the death of millions is a statistic."

"Statistical thinking will one day be as necessary for efficient citizenship as the ability to read or write."

"Statistics is a body of methods for making wise decisions in the face of uncertainty"

"While nothing is more uncertain than the duration of a single life, nothing is more certain than the average duration of a thousand lives."

"The bulk of statistical criticism is of the hit-and-run variety – the critic points out some real or fancied flaw and supposes that his job is done. Indeed, some critics appear to labor under the misconception that if some flaw can be found in a study, this automatically in validates the author’s conclusions. Since the critic makes no attempt to develop a tenable counterhypothesis, his performance is on a par with that of a proponent who glances at his data and then jumps to his conclusion."

"Numbers and stats bob in a sentimental slop, a swampy slurry of bits of hard data and buckets of mushy manipulation."

"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."

"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."

"All models are wrong, but some are useful"

"Statisticians, like artists, have the bad habit of falling in love with their models."

"...the statistician knows...that in nature there never was a normal distribution, there never was a straight line, yet with normal and linear assumptions, known to be false, he can often derive results which match, to a useful approximation, those found in the real world."

"Life in financial markets has got no relation to sigmas. I mean, if everybody who had ever operated in financial markets had never had any concept of standard errors, and so on, they would be a lot better off."

"Strange events permit themselves the luxury of occurring."

"If you torture the data enough, nature will always confess."

"A new branch of mathematics was developed over the last 200 years to deal with the more complex aspect of reality: statistics."

"Confucius, Buddha, Jesus and Muhammad would have been bewildered if you'd have told them that in order to understand the human mind and cure its illness you must first study statistics."

"There are no routine statistical questions, only questionable statistical routines."

"Statistics is the science of learning from data, and of measuring, controlling, and communicating uncertainty."

"I had been so terrorized by scientific statistics (if ten million people each leave over three grains of rice from their lunch, how many sacks of rice are wasted in one day; if ten million people each economize one paper handkerchief a day, how much pulp will be saved?) that whenever I left over a single grain of rice, whenever I blew my nose, I imagined that I was wasting mountains of rice, tons of paper, and I fell prey to a mood dark as if I had committed some terrible crime. But these were the lies of science, the lies of statistics and mathematics: you can't collect three grains of rice from everybody."