NEW: people worry when they hear "40% of hospitalisations are fully vaxxed", but this chart shows that's actually good news.
The more people you vaccinate, the higher their share of hospitalisations, but the *total* number in hospital is a fraction of what it would otherwise be
If fewer people are fully vaccinated, a smaller share of hospitalisations will be fully-vaxxed too, but this is not a good thing:
Overall there will be a lot more people in hospital because far more of the population is unprotected.
In other words: if you want to know whether the vaccination program is working, don't focus on whether the fully vaxxed make up 40% or 12% of hospitalisations.
Focus on whether the hospitalisation rate is 270 per million or 684 per million.
And since this is Twitter, I've prepared the same thing in meme form
But back to charts:
All the data we have suggests vaccines are working remarkably well. Far beyond what had been hoped for a year ago.
For example, a fully-vaxxed 80-year-old now has the same risk of dying from Covid as an unvaxxxed 50-year-old. That's an enormous drop in risk!
And we can see the game-changing impact of vaccinations clearly in the English hospitalisation data.
If it weren't for vaccines, more Covid patients would have been admitted to hospital yesterday than at the height of the winter peak. Instead we're 75% below it.
...which features other excellent lines like this from @anthonybmasters, who has a brilliant seatbelt analogy for vaccines
And finally you should also read @TimHarford's latest, which discusses the "fully vaxxed share of hospitalisations" paradox alongside other features of the pandemic which defy our intuition ft.com/content/0f11b2…
As always, if you have any questions, comments etc please leave them here or DM, and I'll do my best to answer as many as possible 🙏
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My wish for the next election is that poll trackers look like the one on the right 👉 not the left
This was yet another election where the polling showed it could easily go either way, but most of the charts just showed two nice clean lines, one leading and one trailing. Bad!
Pollsters and poll aggregators have gone to great lengths to emphasise the amount of uncertainty in the polls in recent weeks...
But have generally still put out charts and polling toplines that encourage people to ignore the uncertainty and focus on who’s one point ahead. Bad!
The thing about human psychology is, once you give people a nice clean number, it doesn’t matter how many times you say "but there’s an error margin of +/- x points, anything is possible".
People are going to anchor on that central number. We shouldn’t enable this behaviour!
We’re going to hear lots of stories about which people, policies and rhetoric are to blame for the Democrats’ defeat.
Some of those stories may even be true!
But an underrated factor is that 2024 was an absolutely horrendous year for incumbents around the world 👇
Harris lost votes, Sunak lost votes, Macron lost votes, Modi (!) lost votes, as did the Japanese, Belgian, Croatian, Bulgarian and Lithuanian governments in elections this year.
Any explanation that fails to take account for this is incomplete.
Many of the NHS’s difficulties can be traced back to the deep cuts in manager numbers.
Fixing this doesn’t just unblock waiting lists, it also gives doctors more time to be doctors, and alleviates the stress and poor morale that come from having to do things that aren’t your job
Here’s another fun NHS low hanging fruit example:
A trial last year found that by running two operating theatres side by side, they cut the time between operations from 40 minutes to 2, and were able to do a week’s worth of surgeries in one day thetimes.com/uk/article/lon…
In what might be one of the most significant trends I have ever charted, the US obesity rate fell last year.
My column this week is about this landmark data point, and what might be behind it ft.com/content/21bd0b…
We already know from clinical trials that Ozempic and other GLP-1 drugs produce sustained reductions in body weight, but with mass public usage taking off — one in eight US adults have used the drugs — the results may now be showing up at population level.
It’s really striking how the Corbynite left has migrated to the Greens.
The result is a curious coalition between the older and more Nimby environmentalist base, and the new hard left/progressive influx.
These are quite different people with quite different politics!
In 2019, one in ten Green voters was from the most progressive/left segment of voters; now that’s one in four.
Big difference in policy preferences, priorities and pressure on the leadership, as we’ve seen in e.g reaction to Denyer’s Biden statement.
The most glaring tension between these two types of Green is on decarbonisation, where the older Nimby base doesn’t want pylons *or even onshore wind farms* but many of the new progressive Green vote do.
Greens are actually less keen on wind farms than Labour and Lib Dem voters!