Created using ggplot in R using the CET temperature series from here:

https://www.metoffice.gov.uk/hadobs/hadcet/data/meantemp_daily_totals.txt

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I wanna scan it and see what happens

Not going to lie, I thought this was a comparison of barcodes through the years.

I like. Could you add an average of all years’ ranges in the middle as a comparison?

Have they found the DNA match yet?

which one do i scan to redeem my ugandan prince account, i'm down for millions

Just be glad it ain’t 1838

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6 months ago I was working in 40c, now I’m working in -10c. A 50c variance is pretty crazy. I’ve not seen it in my life time

Comparing measurements made on digital thermometers with those from old mercury ones that were read by myopic monks is a perfect example of not understanding the importance of accuracy and precision.

And yet this is the ridiculous approach that underlies mainstream climate science temperature records.

I wish more people understood the point you are making but apparently it’s beyond most peoples ken.

Do you understand the difference between accuracy and precision?

What suggestion do you have for doing this apart from demanding technology that didn't exist at the time?

Does it also have a correlation with sunshine duration? Here on the other side of the North Sea (Netherlands) it has been an exceptionally sunny year with quite the extremes, we're now at 2200h, similar to Florence.

We don't have reliable records of daily temperature measurements going far back, but we can still derive historic seasonal temperature with tree ring and ice core data reliably.

Accurate daily comparisons over the last several decades can also be made, and there has been substantial change in the last several decades.

This is a common but incorrect feeling. Unless you work in a lab with NIST certified equipment, the glass thermometers used by 18th century english scientists are almost certainly both more accurate and more precise than any thermometer you've ever handled.

The CET dataset only specifies temperatures to a 0.1 degree precision, which even the earliest mercury thermometers could achieve.

Science and technology has improved, but we don't need to measure temperature out to the 5th decimal places for climatology.

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I believe you are misusing the word reliable in this context

A little something for everyone. Well done, Mother Nature.

I took this dataset and made some more graphs.

Ranking each day

Frequency Distribution

You can see the bimodal distribution because of the seasons

Normal Distribution

That’s a very odd way of plotting this data. Obviously, you must have tried geom_boxplot, geom_violin or even geom_histogram first. What kind of exotic problems did you discover while trying all the sensible options?

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