Abstract
The so-called “unexpected” results of statistical processing of data from increasingly more accurate astrophysical and gravitational measurements are examined. The reasons for the breakdown of the logic of statistical inference, which several leading experts have interpreted as a “metrological and scientific impasse” in cosmology, are pointed out. The data on type SN Ia supernovae used to detect the “accelerating expansion of the universe” are analyzed. It is shown that the errors in the Friedman–Robertson–Walker model as an equation for indirect measurement of distance are multiplicative. Here the hypothesis of a Gaussian form for these errors corresponds to a shift of –2.8% and a mean square deviation of 16.3% for a mean square deviation of the arithmetic mean of 1.8%. It is noted that using the mean square deviation of the arithmetic mean as an indicator of the accuracy of the scale is a crude mistake.
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