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[19]: 595 Nonetheless, the statistics was insufficient "to prove that the decisionmakers in his case acted with discriminatory purpose." [19]: 596 It was further argued that there were "inherent limitations of the statistical proof", [19]: 596 because it did not refer to the specifics of the individual. Despite the statistical demonstration of ...
The origin of the phrase "Lies, damned lies, and statistics" is unclear, but Mark Twain attributed it to Benjamin Disraeli [1] "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]
Scientific evidence is evidence that serves to either support or counter a scientific theory or hypothesis, [1] although scientists also use evidence in other ways, such as when applying theories to practical problems. [2] Such evidence is expected to be empirical evidence and interpretable in accordance with the scientific method.
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.
A notable exception is mathematics, whose proofs are drawn from a mathematical world begun with axioms and further developed and enriched by theorems proved earlier. Exactly what evidence is sufficient to prove something is also strongly area-dependent, usually with no absolute threshold of sufficiency at which evidence becomes proof.
PARIS (AP) — Hundreds of people came out in Paris on Saturday, marching in support of the right to abortion for women across the world, just six months after France became the first country to guarantee in its constitution a woman's right to voluntarily terminate a pregnancy.
In application, there is some ambiguity regarding when evidence is deemed sufficiently "extraordinary". It is often invoked to challenge data and scientific findings, or to criticize pseudoscientific claims. Some critics have argued that the standard can suppress innovation and affirm confirmation biases.
American support for LGBTQ+ people has surged since 1985, but support for transgender and nonbinary people lags, according to a new poll for The Times.