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https://twitter.com/drseanmullen/status/1696229699846832172I've written a lot about the Russian roulette model - constant chance of Long COVID per infection - and have explained how that doesn't fit with real world data? Well, this guy has stepped it up, and done a similar calculation if the chance goes up with each reinfection.
https://twitter.com/TWenseleers/status/1638910529996562435For all the value of the ONS, variant percentages have been pretty much unique lately as a genuinely *leading indicator* - letting us forecast the timing and scale of likely waves with solid confidence two or three weeks before they started (receipts here
https://twitter.com/BristOliver/status/1604101423112781824)
https://twitter.com/nick5michaels/status/1633874405523861505Say H5N1 did take over in humans (and goodness knows we hope it doesn't) .. The lowest COVID prevalence that ONS ever estimated in England was 14,000 (late June 2020). But this came with a massive confidence interval (proportionately speaking) from 5,000 to 31,000.
https://twitter.com/BristOliver/status/1618987008801783810Chapter 1 discusses something very familiar - how plotting data on graphs can be both useful and deceptive. In particular, I talk about *why* we are doing it, to find patterns and trends and make predictions, but how overfitting to data can make apparent structure lead us astray.