A Quote by John Ralston Saul

I have a theory of statistics: if you can double them or halve them and they still work, they are really good statistics. — © John Ralston Saul
I have a theory of statistics: if you can double them or halve them and they still work, they are really good statistics.
I do not ... reject the use of statistics in medicine, but I condemn not trying to get beyond them and believing in statistics as the foundation of medical science. ... Statistics ... apply only to cases in which the cause of the facts observed is still [uncertain or] indeterminate. ... There will always be some indeterminism ... in all the sciences, and more in medicine than in any other. But man's intellectual conquest consists in lessening and driving back indeterminism in proportion as he gains ground for determinism by the help of the experimental method.
I live by statistics, so if look at U.S. Census statistics regarding families making over $100,000 dollars a year, 93% of them have broadband internet at home.
I work on the boundary between economics and statistics in this field called econometrics. Part of my interest is understanding how you use statistics in productive ways to analyze dynamic economic models.
I think, traditionally, when the federal government has gathered statistics, it's been done in silos, so every agency really focuses on the statistics that are important to agency.
As soon as the circumstances of an experiment are well known, we stop gathering statistics. ... The effect will occur always without exception, because the cause of the phenomena is accurately defined. Only when a phenomenon includes conditions as yet undefined,Only when a phenomenon includes conditions as yet undefined, can we compile statistics. ... we must learn therefore that we compile statistics only when we cannot possibly help it; for in my opinion, statistics can never yield scientific truth.
I wanted to be an archaeologist. But in school you have to take a tremendous amount of statistics for that, and I am not good at statistics. So I hit a real wall with archaeology. It's probably like wanting to be an architect - you think it's all fun and games, and then you have to get out a calculator and you're done.
I know my statistics have not been the same as in other years but I'm fighting to get back to those statistics.
[Statistics] The science that can prove everything except the usefulness of statistics.
Don't let the fear of statistics keep you from launching a continual improvement program. The statistics hurdle is easily overcome, going out of business is not.
It has long been recognized by public men of all kinds. . . that statistics come under the head of lying, and that no lie is so false or inconclusive as that which is based on statistics.
In the patient who succumbed, the cause of death was evidently something which was not found in the patient who recovered; this something we must determine, and then we can act on the phenomena or recognize and foresee them accurately. But not by statistics shall we succeed in this; never have statistics taught anything, and never can they teach anything about the nature of the phenomenon.
Statistics, one may hope, will improve gradually, and become good for something. Meanwhile, it is to be feared the crabbed satirist was partly right, as things go: "A judicious man," says he, "looks at Statistics, not to get knowledge, but to save himself from having ignorance foisted on him."
I think that having good data, good statistics-and the United States generally has better macroeconomic statistics than most countries-and having good economists to interpret those data and present the policy alternatives, has a substantially beneficial effect on policymaking in the United States.
Data-driven statistics has the danger of isolating statistics from the rest of the scientific and mathematical communities by not allowing valuable cross-pollination of ideas from other fields.
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.
We lisp in numbers, in the U.S. We are deluged by ample, often mysterious statistics. ... Like many in this country, I have come to regard statistics with doubt and merely as a hint of the probable shape of fact.
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