@Nick_Jeffreys @BrainstormBot @drclairetaylor I get that this is a joke, but I'm actually interested in finding data on this question. Do you have any sources to support the claim, or is it simply your intuition that damage from repeated infection likely to be monotonic?
@drclairetaylor Nobody thinks it's mysterious... ONS themselves say: "symptoms of long COVID may not be the only contributor to increased long-term sickness in working-age pop., the pandemic’s wider impact on health is still likely to be an important factor in increased long-term sickness.
@BellCheg@JustStop_Oil@ROLEX This is such a puerile retort to a serious protest. You can be against fossil fuels being the mainstay of our energy economy without disavowing all uses of oil. In this case it's unlikely the paint is oil based, but irrelevant anyway.
@DrGBuckingham I do a similar thing. Mine make a table, one row per research-question (incl. "questions" for things like manipulation checks) then a column each for: i) relevant data to be collected, ii) data processing required, iii) simulated/predicted plot and iv) inferential tests if needed
@DrGBuckingham Agreed it's infantile. They can be right for the wrong reasons though and this vote is super-important. Counter-intuitively, a large yes majority on a large turnout is likely to reduce this sort of combativity and the risk of actually needing to take action goes down.
@sholtod1@BrooksNewmark@DanielJHannan Gen X/Y are already too busy paying for Boomers' final salary pensions for that. ONS stats show 16-24 yr olds work 29.3 hours per week compared with 34.3 for 25-54. Shame the breakdown doesn't compare, say, 18-24 to 50-55, but I doubt it would support your prejudice.
@JackfromDevon @ChrisGiles_@queenchristina_ It's great they make a prediction now though because we can use this to judge how seriously to take their model.
@actpredictlab To test interaction alone I think you want anovaBF(y~A+B) / anovaBF(y~A*B). Main effects won't always make sense if there is an interaction, but to test M.E. of A, for e.g., you could do: y~A+B+A:B / y~B+A:B. I think this would be analogous to type 3 Anova.
RIP #TEF@officestudents snuck out this announcement in a letter today to universities.
Is this the end for TEF? Will it ever rise again? I think there’s a lot we can read into this announcement and its low-key mode of delivery.
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@RachelBrexit14@McCartneyMaxwel@afneil Even if that's true (and you're not citing any sources) having lots of already-sick people all in hospital all at once rather than spread across a year is really bad news if you're ill for any other reason.
@sheenaghpugh @Andy42066780 @afneil Part of the reason for 50% figure is CV patients currently sent home unless they are in immediate need of respirator; return next day in a total mess and probably too late to save.