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Sep 13·edited Sep 13Liked by John Dee

"I shall be doing this in best bib and tucker ... I shall also use my (expensive) professional stats..."

For a split second I thought you said you would be wearing expensive SPATS! You know, the things gentlemen used to wear to protect their shoes.

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I'd love to try spats and carry a cane!

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Bertie Wooster!!!

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Sep 13Liked by John Dee

That's very kind of you, but it's still mostly gobbledy gook to me. ( I did do further maths A level about a million years ago, but with mechanics and not statistics. Mostly it comes in useful doing equations to find out the right sized round tin for a cake recipe giving a rectangular tin size! or vice versa.) But something about your posts over the last few years makes me trust you and your results.

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Remarkably few researchers, 'experts' and scientists have a good grasp of stats. At least that has been my experience over the last 40 years. We've also gone from being pragmatic experimentalists to theoretical modellers, which is why a great deal of science has descended into expertism, fashion and celebrity, imho.

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Sep 16Liked by John Dee

stats breaking my brain.

so standard deviation over a period of time is key. surely if you check the standard deviation over first hundred years 1824-1924 and then separately for 1924-2024 you can immediately tell if there is a significant difference between the two periods? a significant... change in variance?

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Yes, you can formalise what our eyeballs already tell us by partitioning the data and running either a classic ANOVA or Kruskal-Wallis. I’ve been toying with the idea of doing this so may well take us through the process in the next article.

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