Oliver Johnson Profile picture
Figuring stuff out. Numbercrunch book https://t.co/0Wh0v5UypD Converging to https://t.co/QLLeeOOz5z Walking for @macmillancancer https://t.co/9iE4IO93Og
bennythedip Profile picture 2 subscribed
Sep 2, 2023 4 tweets 2 min read
Wow, this sounds bad! Better read the article theguardian.com/education/2023…
Image Oh, it's nitrates and nitrites. I don't really know how bad that is, I'll follow the link. Ok, so it's "in mice" and 15% of their diet being bacon and sausages. That's going some.
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Aug 29, 2023 9 tweets 3 min read
I know it's bad to dunk on paid blue-ticks to give them engagement they can monetise, but this guy is so egregiously wrong and there's a danger that people with anxiety disorders might believe his "calculations" that I think it's important. Sorry 🧵 I'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.
Aug 25, 2023 10 tweets 3 min read
Can I just talk about this, from a member of @IndependentSage, because it's been kind of annoying me? It essentially comes down to what you mean by "doesn't decrease". Image And it's true that the ONS do say this: ons.gov.uk/peoplepopulati…
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Mar 23, 2023 4 tweets 2 min read
Ok, I think this may be me more or less done here, COVID-wise. Having this variant data so easily on hand (thanks in a huge part to @OliasDave and @AlexSelby's processing of it) has made nowcasting an absolute breeze since the start of 2022. For 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 )
Mar 9, 2023 6 tweets 2 min read
This is not a quote tweet to dunk on anyone, but I'm unconvinced that ONS (random sampling) is the right model to track prevalence in the really important initial exponential growth phase of a new disease, from a statistical point of view. Say 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.
Feb 23, 2023 5 tweets 2 min read
One of the things I talk about in Chapter 2 of Numbercrunch is "orders of magnitude" errors in the media and online. Brief thread of some of my favourites, do please let me know the ones I missed! Third favourite: This all-time classic, which was one of the things that got me thinking there was a need for this material in the first place.
Feb 18, 2023 7 tweets 3 min read
It's 12 days until Numbercrunch is published, and there are 12 main chapters in the book, so it's probably a good time to tell you a bit more about what's actually in it. (And if you didn't see them already, there are comments here⬇️ from some great people). Chapter 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.
Jan 27, 2023 8 tweets 6 min read
One very exciting (if daunting!) thing about Numbercrunch amzn.to/3O9vX6L was having it read by some of my absolute favourite number-focused writers. I'll share their comments in the next few weeks, starting with this from @TimHarford - huge thanks to all of them. "The perfect introduct... Another Numbercrunch endorsement that I was really happy about was this from @Ananyo, whose own von Neumann biography was the best thing I read last year. Might have to add "maths-whisperer on a mission" to my Twitter bio! "Professor Oliver John...
Oct 22, 2022 14 tweets 4 min read
There's talk of mandates and electability so, because I take the old-fashioned view that elections are won by convincing floating voters, here's why I voted for a Boris-led Conservative party in 2019 but never could again. (I suspect everyone will be pissed off by some of this). I voted Remain in 2016. I could see the arguments both ways, but I was personally more convinced by the arguments about frictionless trade (which I couldn't see happening) than by the arguments about Brussels becoming an unaccountable superstate (though I believed it was).