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"Lies, damned lies, and statistics" is a phrase describing the persuasive power of statistics to bolster weak arguments, "one of the best, and best-known" critiques of applied statistics. [2] It is also sometimes colloquially used to doubt statistics used to prove an opponent's point.
Huff is credited with introducing statistics to a generation of college and high-school students through clear writing and amusing anecdotes, even though he had no formal training in statistics. His most famous book, How to Lie with Statistics , was "possibly the most popular book on statistics ever published". [ 2 ]
In the 1960s and 1970s, it became a standard textbook introduction to the subject of statistics for many college students. It has become one of the best-selling statistics books in history, with over one and a half million copies sold in the English-language edition. [1] It has also been widely translated.
The source of the statistics is very important. The first questions to ask when reading statistical research results is who did the study and why. The source of the statistics is very important.
[13] The term statistics originates from numbers generated for and utilized by the state. Good government may require accurate numbers, but popular government may require supportive numbers (not necessarily the same). "The use and misuse of statistics by governments is an ancient art." [14]
Credit: The Other 98%. In the quote, Trump calls voters the "dumbest group of voters in the country." He continued, saying that they'd believe anything Fox broadcasts.
Lies, Damn Lies and Statistics may refer to: "Lies, Damn Lies and Statistics" (The West Wing), a first-season episode of the TV series The West Wing;
George Box. The phrase "all models are wrong" was first attributed to George Box in a 1976 paper published in the Journal of the American Statistical Association.In the paper, Box uses the phrase to refer to the limitations of models, arguing that while no model is ever completely accurate, simpler models can still provide valuable insights if applied judiciously. [1]