NEW thread: here’s the latest data on how vaccines are fighting Covid.
My India tweets earlier were grim, but these are more optimistic
Vaccines are working in the UK ✅, working in the US ✅, and contrary to alarmist reports, they’re working in Chile ✅ ft.com/content/d71729…
First, some more detail on the UK.
Cases, hospital admissions and deaths have fallen steeply among all groups (the 'restrictions effect'), but have fallen furthest and fastest among the older, most-vaccinated groups (vaccine effect).
(For anyone wondering why the UK deaths lines are getting bumpy, that’s a good thing:
The numbers are now so small — 20 Covid deaths per day — that random variation starts making things look noisy)
And it’s not just the very elderly who are benefiting. This chart (concept from @JamesWard73) shows that as UK vaccinations have progressed down through the age groups, so has the vaccine effect, with under-60s the latest to join the party.
It’s amazing how clear the pattern is!
Next, to France, where a third wave has hampered progress, but the same tell-tale signs of vaccinations are evident
Cases and hospitalisations rose in March, but climbed far slower among the most-vaccinated age groups. Deaths kept falling among the elderly despite 📈 among young
The resurgence of the pandemic in France — and many other countries in recent weeks — was fuelled by the arrival of the 'UK variant' B.1.1.7.
By March, it had become the dominant variant across all of Europe and is now spreading across North America.
B.1.1.7’s arrival in the US threatened one of the world’s most impressive vaccination rollouts, but as in France the data suggest the vaccines are prevailing 🙌
B.1.1.7 sent hospitalisations rising, but only among the [less vaccinated] young. Rates among elderly continue to drop
Sternest test for vaccines has come in Chile, where China’s Sinovac jab was rolled out during a third wave.
But again, the data suggest they’re working.
ICU occupancy has more than doubled among younger adults 📈, but is falling among age groups prioritised for vaccination 📉🙌
It’s the true that Sinovac is less effective than the likes of Pfizer, AstraZeneca and Moderna, especially after one dose (read @DubeRyan’s WSJ story here wsj.com/articles/first…), but after two doses, it delivers good efficacy and is keeping people out of ICU, saving lives.
So we now have clear, real-world data from many countries showing that third wave or no third wave, B.1.1.7 or no B.1.1.7 (and there’s lots of P1 in Chile, too), the vaccines are reducing infections, reducing hospitalisations and reducing deaths 🙌
To be clear, the planet as a whole is still far from out of the woods.
Many countries are still battling new outbreaks. The situation in India is dreadful, and it has so far only delivered a first dose to 8% of its population.
(UK 49% ,US 39%, France 19%)
Aside from India, Latin America remains a grim hotspot.
Uruguay has reported a surge in its daily Covid-19 death toll from 1.15 per million on March 1 to 18.55 on April 15, putting it third highest in the world. Deaths are still climbing right across the continent.
Greater availability of Covid-19 data in the western world has at times given the impression the US, UK and Europe have been the hardest hit, but a more comprehensive analysis shows Latin America has unquestionably suffered the most, with all of the top five death tolls worldwide
(NB there’s no comprehensive excess deaths data in India, but local news reports show that Covid deaths are being vastly undercounted in districts across the country, so if India was in that global chart I would it expect it to be climbing the rankings)
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!