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1) What does the citations have anything to do with statistics?
2) You know, there is an entire body of reserach for this:
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This article reviews the (mis)use of statistical tests in neuropsychology research studies published
in the Archives of Clinical Neuropsychology in the years 1990–1992 and 1996–2000, and 2001–2004,
prior to, commensurate with the internet-based and paper-based release, and following the release of
the American Psychological Association’s Task Force on Statistical Inference. The authors focused on
four statistical errors: inappropriate use of null hypothesis tests, inappropriate use of P-values, neglect
of effect size, and inflation of Type I error rates. Despite the recommendations of the Task Force on
Statistical Inference published in 1999, the present study recorded instances of these statistical errors
both pre- and post-APA’s report, with only the reporting of effect size increasing after the release of the
report. Neuropsychologists involved in empirical research should be better aware of the limitations and
boundaries of hypothesis testing as well as the theoretical aspects of research methodology.
To illustrate why citations matter, I'm providing some images.
The one showing P Schatz from Saint Joseph's University only has 10 citations while one of my favorite researchers on ovulation, Karl Grammer, is usually cited by a lot more researchers.
Grammer teaches out of University of Vienna, one of the top universities in the world. On the other hand, Saint Joseph's University has no rank at all in North America although it apparently ranks high in a US newspaper.
The University of Vienna has already produced at least 5 Nobel laureates. If you read Schatz's methodology a bit more carefully, it isn't as sound or tight as most Grammer studies.
Schatz is basically saying, "Hey dudes. My penis is bigger than every one around you here." Meanwhile, all of the big names in science, totally ignore Schatz's written flatulence.

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