Unfortunately, this piece will only strengthen the myth that China engaged in massive and systematic fudging of COVID-19 data, when if you read it carefully it shows no such thing and doesn't tell us anything important that we didn't already know. 1/n
In particular, when the tweet says that China underreported COVID-19 numbers, what the article shows is just that, as there weren't enough tests, the authorities at times only reported cases that had been laboratory-confirmed by PCR but not cases identified by symptoms. 2/n
This is not new, I already discussed this at length in my essay back in September. We have known for *months* that the definition of a case used by the authorities changed several times, which affected the numbers. 3/n quillette.com/2020/09/06/the…
As I also noted at the time, it's particularly stupid to accuse China of fudging the numbers because it didn't always report cases that hadn't been laboratory-confirmed, when it was literally government policy in France to only test people *with severe symptoms*. 4/n
France and most other countries could also have identified cases by symptoms if they had wanted to, but they didn't even bother to, yet no one is accusing them of deliberately hiding the extent of the epidemic... 5/n
When the discrepancy between documents can't be explained by the definition of case used, it only bears on a few dozens of cases. Perhaps some local officials lied, but do you seriously think the central government gave a shit if Hubei reported 83 or 115 cases on March 7? 6/n
This is obviously either the result of inconsequential lies at the local level or, even more likely in my opinion, just reporting issues as there has been in *every* country. Nobody would interpret this kind of discrepancy as proof of a cover-up anywhere else... 7/n
This document actually supports my argument that the April 17 update of the death toll in Hubei was not a sign that China had fudged the numbers but just that it had been unable to identify every victim during the outbreak, so they had to go back and revise the number later. 8/n
If you wanted to argue that China deliberately hid the extent of the epidemic, you would actually find significantly more ammunition in the paper I cited in my Quillette piece about the effects of the changes in case definition used by the authorities during the outbreak. 9/n
Indeed, compared to the document leaked to CNN (which only shows discrepancies of a few thousand cases at most), this paper can be used to argue that if the authorities had consistently used a more liberal case definition, the number of cases would have been far higher. 10/n
Of course, I don't think there is a good case that, if the authorities didn't consistently use this more liberal definition, it was to hide the extent of the epidemic. My point is that you can make a better case for this view with that paper which was published months ago! 11/n
The only thing I found really interesting is the information about the unusually strong outbreak of influenza in Hubei back in December 2019, but it's actually somewhat exculpatory for the local health authorities for not identifying the outbreak as fast as they could have. 12/n
Unfortunately, although this leak actually supports my innocuous interpretation of China's pandemic data, people will see it as proving the myth of a massive cover-up, because they are hostile to China for ideological reasons and won't read the article closely or at all... 13/13
P. S. The explanation for the March 7 discrepancy is actually even more innocuous than I thought, it's just the result of the exclusion of asymptomatic cases from the later case definition, which as I explained in Quillette we have known since February!

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More from @phl43

18 Nov
Wow, I hadn't actually read the Nature paper that allegedly showed that lockdowns had saved more than 3 million lives in Europe last Spring, but now that I have I'm utterly shocked this worthless piece of garbage was published. nature.com/articles/s4158…
Also, something didn't make sense about the results and the only explanation I could think of implied that the conclusion people drew from that study was totally unwarranted, but it was impossible to tell from their description of the results whether my hypothesis was correct.
So I downloaded the code and ran the analysis myself so I could take a closer look at the results and, surprise, it confirmed that my hypothesis was right, which presumably is why they neglected to describe this particular result in the paper or the supplementary materials...
Read 4 tweets
17 Nov
Je suis contre le confinement, mais la baisse du nombre de morts en Suède est un artefact du délai d'enregistrement des morts. Compte tenu de l'évolution du nombre de cas, ça va inévitablement augmenter rapidement dans les jours qui viennent, il n'y a pas de magie. 1/n
D'ailleurs, quand on fait un simple ajustement pour tenir compte du délai dans l'enregistrement des morts, on voit très clairement qu'en réalité ça augmente rapidement. Encore une fois, je suis contre le confinement, mais il ne faut pas se raconter d'histoire. 2/n
De la même façon, le nombre de morts par million peut sembler faible, mais c'est le nombre par jour. En France, si on prend le nombre de morts cumulés sur l'année, ça va représenter au moins 10% de la mortalité normale à la fin de l'année. Ce n'est quand même pas rien. 3/n
Read 5 tweets
16 Nov
The curve shows the daily number of cases, the dashed green line shows the start of the curfew in Paris and 8 other cities, the dashed purple line the extension of that curfew to 54 departments and the orange dashed line the start of the lockdown. Image
It's pretty clear that incidence started to fall before the lockdown was implemented, so while it may have accelerated the process, it would most likely have happened without it. It's even clearer when you look at what happened in Paris. The curfew may have played a role though. Image
The curfew made it illegal to leave your home between 9pm and 6am, but if it was responsible for the fall in incidence (which in my opinion it likely was at least to some extent), it's probably because bars and restaurants were closed, not because people couldn't go out per se.
Read 4 tweets
15 Nov
This study relied on a crude approximation because we only have data on deaths by age buckets and it used life expectancy conditional on age without taking into account comorbidities or race. I would be amazed if the actual figure were more than half of this estimate. Image
And yes, I know that he shared another study for the UK that claims to take into account comorbidities and found an even higher estimate, but have you actually checked this paper? The authors lack data about so many things that they have to make wild guesses all over the place.
Even if we had individual data on age, race, sex and comorbidities, I think it would be problematic to use this methodology, because if you ask me the fact that someone died of COVID-19 indicates that his life expectancy was lower than people with the same age, comorbities, etc.
Read 7 tweets
15 Nov
I haven't even read that paper, I just had a quick look at the tables, but I don't buy it for a second. They found that 14% of samples collected in September on participants to a lung cancer screening trial had antibodies for SARS-CoV-2. Of course, it's not a random sample, 1/n
but that's still huge. There has been many studies based on that kind of samples since the pandemic started and seroprevalence was usually lower even in places where hospitals were totally overwhelmed. So we'd have to believe that, by September of last year, 14% of people in 2/n
such a sample had already been infected by SARS-CoV-2 in Italy but no one noticed anything. Not only hospitals weren't full of people with pneumonia of unknown etiology, but the Italian health authorities didn't detect any clusters of pneumonia whose cause they couldn't 3/n
Read 9 tweets
15 Nov
Here are some true claims:
1) The bet on which Sweden originally sold its strategy, that it would reach herd immunity quickly, has failed.
2) It doesn't follow that it was the wrong strategy.
3) The predictions of people who oppose Sweden's strategy were also completely wrong.
It's interesting how everyone keeps talking about 1, but systematically forgets about 3. According to the predictions opponents of Sweden's strategy made last Spring, there should have been more than 65,000 deaths by now, but this has been memory holed.
The truth is that, if you had told them back in April that there would only be 6,000 deaths in Sweden right now, they would never have called that a "failure", because they had predicted something far worse. It was only labeled a "failure" and usually far worse later 🤷‍♂️
Read 6 tweets

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