The histograms of a normal distribution are difficult to fit. First of all one has to work with the frequencies for the intervals chosen which can be computed if the standard deviation, σ, is known. Next the values of the central peak are much larger than the "wings" for the extreme deviations and so is their variation. The best fit for the temperature anomaly deviations of the last blog resulted in σ = 0.334 but the fit was better for the central peak than the wings. Setting σ = 0.36 gave a better fit overall for an assumed normal distribution.
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