A good time for a primer on exponential and logistic growth, no?
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http://3b1b.co/covid-thanksData source:
https://www.worldometers.info/coronavirus/coronavirus-cases/#total-casesSome have (quite rightfully) commented on how you shouldn't look at the R^2 of linear regressions on cumulative data since even for completely random changes each total is not at all independent of the last. Since the derivative of an exponential should also be an exponential, we could instead run the same test on the logarithms of the differences from day to day, which in this case gives R^2 = 0.91.
While this video uses COVID-19 (aka the Coronavirus) as a motivating example, the main goal is simply a math lesson on exponentials and logistic curves. If you're looking for a video more focused on COVID-19 itself, I'd recommend taking a look at this one from Osmosis:
https://youtu.be/cFB_C2ieW5IExtrapolation xkcd:
https://xkcd.com/605/------------------
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If you want to check it out, I feel compelled to warn you that it's not the most well-documented tool, and it has many other quirks you might expect in a library someone wrote with only their own use in mind.
Music by Vincent Rubinetti.
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