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29 Dec 20, 30 tweets, 8 min read
A few people have asked me to do this, and I always like to be consistent

The Great Barrington Declaration is unscientific nonsense. What about the John Snow Memorandum (JSM)

Some peer-review on twitter 1/n
2/n The JSM is here, please do have a look and read if you are interested:

johnsnowmemo.com

Full disclosure: I agree with the sentiment, but I rarely sign petitions and did not do so with the JSM
3/n The JSM is basically a call to action to implement public health responses to COVID-19, particularly in Europe and the US

The specific examples cited are places with very good control
4/n ...except for Japan! JSM was published in October - it appears that their strategy has since become less effective
5/n So, the science

The first paragraph here is just boring facts as they were on the 12/10/2020
6/n The next paragraph has these statements:

1 - COVID-19 is infectious+novel
2 - COVID-19 IFR>flu IFR
3 - some people have long-term symptoms
4 - unclear how long immunity lasts
5 - reinfections happen
6 - we can reduce transmission
7 - the WHO wants to reduce transmission
7/n Statement 1 is referenced to this July paper, which supports the assertion that COVID-19 is infectious, spreads through contact, and is novel
8/n Statement 2 is linked to this paper, and is demonstrable fact. I myself have also replicated this finding in our COVID-19 IFR by age paper

link.springer.com/article/10.100…
9/n Statement 3 is, as phrased, true but potentially arguable. There are clearly some people who experience long-lasting symptoms after COVID-19. We do not yet know how many. The reference does support this
10/n So we know that some people experience long-term symptoms after COVID-19. It is almost certain that COVID-19 in many cases causes these symptoms. But it is arguable in the sense that the causal attribution has not been 100% demonstrated
11/n Statement 4 is a clear and obvious fact. We do not know how long immunity to COVID-19 will last after infection. It may be a forever, but based on other coronaviruses it is likely to be <5 years

The reference again supports this
12/n Statement 5 is again a fact. Reinfections happen, and the reference is a case study of one of these. How often this happens is still unknown
13/n Statement 6+7 are broadly true, but pretty general stuff. We know that some combination of interventions can drive case numbers down and that the WHO supports this, it is the specific interventions and more importantly the long-term that are debated
14/n Thus far, there is not a single factual inaccuracy in the JSM, and even the debatable points are pretty on the mark (the debate is more about wording than anything else)
15/n Next, we have this sentence that is probably the most contentious one in the document

The rest of the paragraph is obvious fact, but were lockdowns "essential"?
16/n This is the only place where I think you could realistically argue with the statements made in the JSM. The references support the point, but aren't perfect themselves (they are basically models that show some benefit to lockdowns)
17/n We know that lockdowns reduce transmission of COVID-19, the question is whether the marginal benefit of various interventions is/was worth the cost in terms of economic/social harm
18/n I thoroughly respect the JSM authors, and I don't disagree, but I think whether the benefits outweighed the costs is perhaps more of a social decision than a scientific one
19/n Even if we could demonstrate that lockdowns saved millions of lives, there are some who would argue for political and other reasons that they were bad

So I'm not entirely sure that saying these interventions were "essential" is strictly factual
20/n They may have been essential from the public health perspective, but ours is not the only perspective out there
21/n Moving on, we have these statements about herd immunity. This is not referenced, but is decidedly true as I myself have written gidmk.medium.com/the-facts-abou…

gidmk.medium.com/herd-immunity-…
22/n Moving on, we have similar arguments to those I made in the above blogs, but more succinct, along with a few restatements of the above already referenced points (i.e. LongCOVID)
23/n We also have this statement. It is not referenced, but is very easily documented in every serology study on COVID-19. Have a look at the references for our IFR by age paper if you're interested
24/n Lastly, we have the call to action, citing Vietnam, Japan, and NZ as examples of what to do to AVOID lockdown in the future

Yes, you read that right
25/n Indeed, the JSM authors argue specifically that lockdowns may have been justifiable in the face of a massive, out-of-control epidemic, but that (in Oct) the best way forward was decisive action to prevent another lockdown
26/n So, we're at the end. There are no factual inaccuracies per se in the JSM that I could find, and the references all support the statements
27/n There are definitely two statements that are arguable, although I personally think that they are reasonable to say. Realistically, the difference between "essential" and "useful/necessary" is more semantic than scientific
28/n I would say that the JSM is basically a scientific document with a call to action in it

In contrast, as I've explained before, the GBD is simply an unscientific piece of political propaganda
29/n Comparing the two is an interesting exercise, because even at face value they are amazingly different. GBD does not cite any evidence, and the only specific statement it makes about science (re: herd immunity) is wrong
30/n In contrast, JSM is filled with factual, scientific statements that are referenced so you can check for yourself

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More from @GidMK

28 Dec 20
Fascinating. The paper itself merely compares three different models of the reproductive number of COVID-19 in different places. For lockdowns:

Model 1 = big benefit
Model 2 = small benefit
Model 3 = mixed benefit
Model 1 was published to great acclaim in a paper in Nature nature.com/articles/s4158…

The crux of this new preprint appears to basically be saying that this previous publication was pretty shit
And look, it's hard to disagree that a lot of COVID-19 models are terrible

What's weird is how denialists are seizing on this paper as evidence that lockdowns didn't work
Read 8 tweets
26 Dec 20
Turns out that cherry-picking news stories that agree with your preconceptions is less evidence than it is a basic logical error, but you keep on trying Alex
If we actually wanted to know whether healthcare workers were refusing vaccines at a high rate, we'd need to know a number of things:

1. Vaccine doses available
2. Doses intended to be given to HCW
3. Doses refused by job
We'd ideally want to know why the vaccines were refused, as well. Did HCWs worry about side-effects or did their employers not give them adequate time to get the vaccine?
Read 5 tweets
23 Dec 20
Disagreement over science should not consist of personal attacks

That is not an excuse for uncritically accepting all bad science, nor for refusing to critique things that are clearly flawed
Many people have taken my criticisms of Ioannidis' papers, for example, to be some sort of horrifying vendetta, even though I've never once said anything bad about the man himself
The problem is that some people see any criticism of senior academics by their juniors as impolite and disrespectful, and therefore a personal attack

I find this attitude endlessly absurd
Read 4 tweets
22 Dec 20
It's coming towards the end of the year, and there are still countless people minimizing the pandemic and spreading untruths

So I thought I'd do a bit of a thread of FACTS about COVID-19 1/n
2/n Fact 1: the death rate of COVID-19 varies substantially by age, but is high even for relatively young people

For example, a 1 in 2,700 risk of death from COVID-19 for a 35 year old, based on our comprehensive paper on the topic link.springer.com/article/10.100…
3/n Fact 2: COVID-19 is MUCH more dangerous than influenza

For younger age groups, COVID-19 may be similarly lethal. For anyone over 30, it is much worse. @zorinaq has a nice graphic on this
Read 34 tweets
21 Dec 20
I've been tangentially watching this critique by @ikashnitsky of another worrying paper in JAMA Psych, so I thought I'd briefly discuss my own thoughts on the paper in a bit of twitter peer-review 1/n
2/n Paper is here, it looks at suicide rates in Maryland during 2020, and finds that there are racial disparities in these rates. In particular, there were fewer White individuals dying of suicide during lockdown, but more Black people died this way jamanetwork.com/journals/jamap…
3/n @ikashnitsky and one of the authors have had a fantastic back-and-forth, and I strongly recommend you read the threads here:

Read 23 tweets
21 Dec 20
Wow, 15 locally-acquired cases in NSW. So 23-30-15

That's a huge relief for Sydney, although we won't know for sure if the outbreak is controlled for a few days yet #covidnsw #nswcovid
For those who made fun of the "gold standard", I'd be interested to know of anywhere in the world that ramped up testing by 8x and went from R(t) ~1.4 to R(t)<~1 in THREE DAYS
38,000 tests in one day. That's 5 tests for every 1,000 people in the state in 24 hours!
Read 5 tweets

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