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First the link to this week's complete list as HTML and as PDF.
I’m not really surprised that articles like Klein & O'Brien get written, but when they pass peer review and end up in PNAS, some eminent practitioners of the subjects must have mistaken them for valid science.
Whenever you have to process information to come to a reasoned and meaningful decision, you (expect to) need a reasonable number of data points to estimate the spread of the data and to discern typical values from outliers. If you now notice that all your data points are essentially – and in one case literally – identical, you will achieve your result earlier than expected.
In all their cases this is exactly what Klein & O'Brien do and exactly what they find. A result like that is meaningless and doesn't tell us anything. Perhaps it's appropriate to cite Akerlof & Michaillat here.
Czachesz is a very good overview for those new to and interested in the field.
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