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The misuse of Statistics can trick the observer who does not understand them into believing something other than what the data shows or what is really 'true'. That is, a misuse of statistics occurs when an argument uses statistics to assert a falsehood. In some cases, the misuse may be accidental.
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.
A bone marrow transplant in the earliest months of life is the standard course of treatment. The exceptional case of David Vetter, who lived much of his life encased in a sterile environment because he would not receive a transplant until age 12, was an inspiration for the "bubble boy" trope. [329]
Simpson's paradox is a phenomenon in probability and statistics in which a trend appears in several groups of data but disappears or reverses when the groups are combined. This result is often encountered in social-science and medical-science statistics, [ 1 ] [ 2 ] [ 3 ] and is particularly problematic when frequency data are unduly given ...
Detection bias occurs when a phenomenon is more likely to be observed for a particular set of study subjects. For instance, the syndemic involving obesity and diabetes may mean doctors are more likely to look for diabetes in obese patients than in thinner patients, leading to an inflation in diabetes among obese patients because of skewed detection efforts.
In a recent article, my Daily Finance colleague Charles Hugh Smith laid out a fairly clear argument for the disappearance of the middle class, at least in terms of wealth. As Smith notes, the top ...
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Seeing is believing, and it is easy to believe that mass shootings are a epidemic when the news coverage is saturated with stories of pain and agony.