![]() Professional scientists, even mathematicians and professional statisticians, can be fooled by even some simple methods, even if they are careful to check everything. For example, in medical science, correcting a falsehood may take decades and cost lives. The false statistics trap can be quite damaging for the quest for knowledge. ![]() When the statistical reason involved is false or misapplied, this constitutes a statistical fallacy. In others, it is purposeful and for the gain of the perpetrator. In some cases, the misuse may be accidental. That is, a misuse of statistics occurs when a statistical argument asserts a falsehood. Statistics, when used in a misleading fashion, can trick the casual observer into believing something other than what the data shows. ( November 2014) ( Learn how and when to remove this template message) Please help improve this article if you can. The specific problem is: this article is badly written, often unclear. This article may require cleanup to meet Wikipedia's quality standards.
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