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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.
A 2003 study by the Hungarian Academy of Sciences found that 70% of articles in a random sample of publications about least-developed countries did not include a local research co-author. [ 37 ] Frequently, during this kind of research, the local colleagues might be used to provide logistics support as fixers but are not engaged for their ...
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[268] [269] A 2023 report in Science noted that at least 21% of Dias's 2013 doctoral thesis had been plagiarised. [270] As of 2024, Dias has had five of his research papers retracted, and five other papers have received an expression of concern. [271] [272]
Leek summarized the key points of agreement as: when talking about the science-wise false discovery rate one has to bring data; there are different frameworks for estimating the science-wise false discovery rate; and "it is pretty unlikely that most published research is false", but that probably varies by one's definition of "most" and "false".
The publication or nonpublication of research findings, depend on the nature and direction of the results. Although medical writers have acknowledged the problem of reporting biases for over a century, [12] it was not until the second half of the 20th century that researchers began to investigate the sources and size of the problem of reporting biases.
One example of sensationalism in science news was in 1998 when Andrew Wakefield published a study in The Lancet showing a link between MMR vaccines and autism [33] with it reaching the news media via press releases and a news conference [34] getting widespread coverage despite the publication being flawed and the article later being debunked ...
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. Why mass shootings fear is so pervasive ...