NEW: weekly breakdown of hospital patients being treated *for* Covid vs those *with* Covid as an incidental finding is out.
Here’s London:
Though incidentals are still rising at unprecedented rates, there is also a clear and steep rise in patients being treated for severe Covid
Comparing the current rise to the Delta wave side-by-side, we can see that although there are far more "with, not for Covid" incidentals this time around, the number of patients being treated for Covid is rising faster than it did in the summer
But the summer Delta wave never came close to overwhelming the NHS, so key question is how this stacks up vs last winter
Numbers still well below last Christmas, and recent uptick is clearest on a log scale. Long way to go to approach Alpha wave, but direction of travel is clear
Here’s another way of looking at it:
The total number of Covid-positive patients does slightly overstate the severity of the current wave as far as hospitals go, but the "for Covid" line is still clearly bending upwards
We’ll have more on the hospital situation later today
All in all, I’d say this is a decent illustration of what people have meant by "a small percentage of a large number can still be a large number".
We’re still way off last winter, but numbers with severe disease are growing, and not especially slowly.
("for vs with" data only starts in Jun 2021, so for Alpha wave I’m assuming fixed proportion of patients were being treated primarily for Covid, and that it was in line with the share seen over autumn. This could be wrong, but is unlikely to change the overall picture shown here)
Another bit of context here for considering the Omicron hospital situation over winter:
Hospital staff absences due to Covid have risen very steeply over the last week in London.
(no historical data to compare this with, to my knowledge)
An important addition here from @VictimOfMaths [and the brilliant Dan Howdon, formerly of Twitter]:
These figures undercount the total number or "with Covid" incidentals. Doesn't change the overall message but adds important context
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!