NEW: a deep-dive into the situation in India, where a devastating second wave is overwhelming hospitals and crematoriums, eclipsing global records as it goes ft.com/content/683914…
250,000 new cases every day, and test positivity is soaring suggesting many are still missed
To put this into a global context, much has been made of the resurgences in Europe and North America over recent weeks, but India’s wave has accelerated straight past all of them.
The situation there really is beyond what we’re seeing anywhere else worldwide.
In many parts of the country including the capital Delhi, cases are doubling every five days. Compared to the steady rise seen in the first wave last year, the current climbs are almost vertical.
And in many places, test positivity is rising at the same pace. Even as more and more tests are done, the share of them that come back positive is still climbing, suggesting tens of thousands of cases are going undetected.
All of this is feeding through into a crisis in hospitals beyond what we’ve seen anywhere else in the world over the whole pandemic.
ICUs are twice as full in Nagpur as they ever got in Lombardy last March. Mumbai’s ICU’s are more full than Liège was in Belgium’s brutal peak.
The stories on the ground are grim.
Authorities have taken emergency measures, requiring than any and all oxygen produced anywhere in the state be sent to hospitals as supplies run out.
With thousands simply unable to find a hospital bed, death tolls are mounting at a similarly rapid pace.
But a look at this chart shows another issue: although official Covid death counts are rising, the numbers themselves remain incredibly low.
And I stress in-*credible*
Essentially, none of those numbers are correct; all are vast undercounts.
I collated local news reports (HT @muradbanaji) across seven districts, finding that overall, numbers of Covid victims who have been cremated are 10x larger than official Covid death counts in same areas.
If applied nationally, that would mean that instead of 1,700 deaths per day, India is currently seeing 17,000.
And as more reports come in, that undercounting estimate has been rising, so the true toll may be higher still.
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!