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Statistics, when used in a misleading fashion, can trick the casual observer into believing something other than what the data shows. That is, a misuse of statistics occurs when a statistical argument asserts a falsehood. In some cases, the misuse may be accidental. In others, it is purposeful and for the gain of the perpetrator.
In statistics, a misleading graph, also known as a distorted graph, is a graph that misrepresents data, constituting a misuse of statistics and with the result that an incorrect conclusion may be derived from it. Graphs may be misleading by being excessively complex or poorly constructed.
Pages in category "Misuse of statistics" The following 27 pages are in this category, out of 27 total. ... Misleading graph; Moving the goalposts; P. P-hacking;
Straightforward data on earnings clearly shows a huge rise in inequality of pay in the US economy, write Elise Gould and Josh Bivens.
How to Read Numbers: A Guide to Statistics in the News (and Knowing When to Trust Them) is a 2021 British book by Tom and David Chivers. It describes misleading uses of statistics in the news, with contemporary examples about the COVID-19 pandemic, healthcare, politics and crime. The book was conceived by the authors, who are cousins, in early ...
The president tweeted misleading statistics about voter fraud on Sunday, claiming that nearly 60,000 non-citizens voted in Texas. Trump cites misleading stats in alleging Texas voter fraud Skip to ...
When you mix a trillion dollars, poor information, decisions based on emotion, and an endless pot of subsidies, you get problems. That's student loans. If you're looking for the next crisis, it ...
Simpson's paradox has been used to illustrate the kind of misleading results that the misuse of statistics can generate. [7] [8] Edward H. Simpson first described this phenomenon in a technical paper in 1951, [9] but the statisticians Karl Pearson (in 1899 [10]) and Udny Yule (in 1903 [11]) had mentioned similar effects earlier.