Updating for the start of October. The prior week had 49 million doses. A soft period coming on the back of successive weeks of high performance dominating the top 5 in this chart:
The primary reason for this is a softness in supply coming on the back of 4 long weeks of high performance. However this is now improving as the graph shows, with the available supply back over 50M :
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Weekly performance remained steady with no major movement. Trailing 7DMA is now a shade under 7M/day but should go up soon.
I may stop presenting this chart. Oct is likely to have many days over 10M, which this doesn’t show well. If you like this data, please say so.
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Now for the major highlights:
September ended with 239 million doses done, average 8M/day over 30 days. That is not far from double-vaxing the entire adult NZ or Singapore population every day for a month.
Cumulative total now 904 million as of Oct 2.
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India accounted for 26.5% of global vaccinations in Sept. It ended the month exceeding the vaccinations in all of Europe, all of the Americas and Africa, COMBINED.
There’s no desire to gloat, but to show sense of proportion. Understanding & conclusions follow from that.
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The following two graphs show the landscape at the start and end of September. From ~80M behind, India is now ~100M ahead of continental Europe in vaccinations.
As stated before, ourworldindata has a 1-2 day data collection delay.
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This also shows up in vaccination supply data. Cumulatively, US+EU output slightly exceeds India, but in September, they combine to barely half of India’s output:
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This is an unspoken problem. As the prior India vs other data shows, many are slowing down. It is unclear why. They are a long way from done. India is now projected to take less time than the west.
This is a simple projection, but the slowdown elsewhere is real.
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A great piece of news is ZyCov-D now becoming available in October. It is authorized for 12-17 children, which is critical for school opening:
October is projected to have 270-280M dose projection of Covishield + Covaxin alone. ZyCov-D now adds to that. If BioE is authorized soon, thats adds more. The available supply at start of month is 51M.
The baseline availability is thus 320-330M, with upside.
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Since the daily CoWin tracker is now a pastime, for the cricket fans (@aparanjape ?), in September India did just over a Gavaskar - 239.
In October will we do a
Dravid (270) ?
Laxman (281) ?
Sehwag-lite (293) ?
Sehwag-first (309) ?
Sehwag-max (319) ?
🙂
11/11
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The IPL is also far more lucrative in revenue per game, despite the fact that with a mere 74 games, it’s in the bottom 5 of sports leagues by number of games played per season.
Each of those games is a money spinner. Let’s look at how much.
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In terms of total revenue, the IPL ranks a reasonable 13th position among global leagues, despite having so few games in a single season.
There are only three countries on the planet with $1 trillion+ exports - China, USA and Germany. Even Japan is around $850-900B in FY 2021.
India jumped ~10 ranking places to provisionally #8 this year. Positions 4-7 are Japan, UK, France and Netherlands - all $700-900B.
India began 1949 the 9th biggest exporter.
It left the top 10 by end of that year.
It left the top 20 in 1957.
It reentered the top 20 in 2010, but didn't rise further until 2017-18 when it was 18th ranked. 2021-22 saw a big jump to 8th position.
Today was a day of symmetry as the vaccination total hit 175 crore (1.75 billion), exactly on day 400 since start of vaccination. This corresponds to an average of almost 4.4 million vaccinations a day, over four hundred days.
The monthly total to date is now almost 88 million. February should easily cross 100 million and will likely finish at around 125 million. This is expected as it is predominantly second dose + boosters. March will be much higher as the 12+ group becomes eligible.
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With even the second dose numbers not very high now, the daily average over the past week was just 4 million - multiple days towards the end of week being around 3.98 million, and thus still in the 3.x bucket.
So how do you fix sampling error ? You get a small number of people to agree - keeping pop standard deviation down because sample size is tiny.
Disagreement is a problem - if you get half of them to disagree, your sampling error is 20-45% depending on sample size. Oops.
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So let us pretend these experts indeed know what they’re doing. Let us look at the data. This author has the entire VDem dataset, analyzed in detail together with @jai_menon :