John Burn-Murdoch Profile picture
Jun 23, 2020 12 tweets 5 min read Read on X
NEW: we’ve updated our excess mortality tracker, the best measure for international comparisons of Covid deaths

• US hit 122k a month ago, by far the highest worldwide
• UK 2nd on 66k
• Added Ecuador, world’s highest excess death *rate*

Free to read: ft.com/coronavirus-la… Image
Here are all countries’ excess deaths according to different metrics:
• Population-adjusted rate
• Raw numbers
• % of historical baseline

UK, Spain, Ecuador and Peru among the worst on most metrics. Image
Here’s our data for hardest hit cities & regions worldwide

Top row is all Latin America, which is now the undoubted global epicentre of the virus. Mortality has soared in the major cities of Ecuador, Brazil, Peru and Chile.

Also updated Moscow, where deaths are soaring. Image
Now showing 44 US states + DC. Will add more as data arrives.

Urban North East has seen bulk of US excess deaths, but most areas now showing elevated mortality.

Nationally, US hit at least 122k excess deaths by May 23, 30% higher than the 91k Covid deaths reported at the time. Image
Overall across the 24 countries where we have excess mortality data, we find 454,000 excess deaths during outbreaks.

This is 51% higher than the number of Covid deaths reported in these countries at the time.

You can freely access all our raw data here: github.com/Financial-Time…
UK has suffered one of worst outbreaks anywhere

Deaths have been:
• 52% higher than usual in England
• +41% in Scotland
• +34% in N. Ireland
• +34% in Wales

All 12 regions saw mortality at least 30% above normal

Bad outbreaks in many regions suggest action taken too late. Image
Here’s the same for Spanish regions.

Many parts of Spain had severe outbreaks. Three saw deaths more than double, and a total of 10/19 saw at least a 30% spike.

Nonetheless, the data suggest the worst of Spain’s outbreak was contained in fewer regions than the UK’s. Image
Here are Italian regions, now with fresh data

Lombardy hit v hard, and 5 other northern regions saw excess deaths of 50%+, but in most regions numbers were relatively muted, including Lazio (contains Rome).

5/20 regions saw no excess, and another 8 saw excess of less than 30%. Image
Finally here’s France, where Paris suffered badly, and the Grand Est region also faced a big outbreak, but although most other areas were affected none saw all-cause deaths increase by 30% or more.

For whatever reason, UK’s outbreak spread further than in peer countries. Image
We’re still looking for more all-cause deaths data, where India is now our top target, but any country is appreciated

Ideally daily, weekly or monthly data, for multiple years, and including 2020. Can be for one town or city, not just nationally

📦 ➡ coronavirus-data@ft.com 🙏
And a curious little footnote:

Russia usually publishes data on all deaths from natural causes with roughly a one month lag. Data for March were published on April 30, for example.

Almost two months later, there’s been no update. No deaths data for April or May... 🤔
Final note:

There are big time lags in death registration. Brazil & US probably the most affected here due to their size.

This means excess deaths for Brazil & US *for the period already shown* are likely to rise. We include historical revisions each time we update our charts.

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More from @jburnmurdoch

Nov 8, 2024
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! Image
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!
Read 11 tweets
Nov 7, 2024
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 👇 Image
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.

More here ft.com/content/e8ac09…
Did Biden hold on too long?

Has progressive politics alienated some Hispanic and Black men?

Yes and yes, but taking action to address those issues probably wouldn’t have produced a fundamentally different outcome.
Read 7 tweets
Oct 15, 2024
“The NHS has too many managers” latest
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 Image
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…Image
Read 5 tweets
Oct 4, 2024
NEW: we may have passed peak obesity 🎉📈📉🙏

In what might be one of the most significant trends I have ever charted, the US obesity rate fell last year. Image
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. Image
Read 15 tweets
Aug 9, 2024
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! Image
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! Image
Read 8 tweets
Aug 4, 2024
That incredible Noah Lyles victory in chart form.

Lyles was in last place until *50m*, and then surged past the field to take it on the line. A blue streak.

Thompson led from 25m to 95m, but not when it counted. Image
Granular timing data via @jgault13 and the Olympics website
@jgault13 Bolt was the greatest ever, and his huge margins of victory were iconic, but this was the best men’s 100m race I’ve ever seen.
Read 6 tweets

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