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14 Dec, 13 tweets, 3 min read
Some thoughts on scientific retractions. I think we can fairly say that there are far fewer than we'd expect if science was working well
There have been in the range of 100,000 scientific papers published on COVID-19 this year. PubMed shows 78,000, and if we include journals not indexed by that resource I'd imagine we'd break 100k easily
Now, let's think about this scientifically. What's the serious error/fraud rate for published research? The rate at which a retraction-worthy paper is published in a peer-reviewed journal
(Note, this obviously cannot be 0% because some papers ARE retracted)
To clarify, the rate that you think papers are published with errors that SHOULD lead to retraction, even if they are never retracted
So the results are rolling in, and it doesn't look great for published research! A lot of people who think that 1 in 200 papers is worthy of retraction 👀👀👀
But let's be more conservative and say 1 in 1,000 papers is bad enough to be retracted

With ~100,000 papers published on COVID-19 this year, we'd expect about 100 retractions
How many COVID-19 papers do you think have been retracted in 2020 (roughly)?
Now, this number is hard to come by, but if we use the database from @RetractionWatch it looks like about 44 papers have been retracted (although some were just preprints) retractionwatch.com/retracted-coro…
Given that this is not perfectly comprehensive, despite the excellent work of @RetractionWatch, let's say somewhere around 50 is about right

So, given an error rate of 1 in 1,000, half the retractions we'd expect
If the error rate is higher (and it very well may be), this number drops sharply. If we think that 1 in 200 papers is bad enough to be retracted, then only 10% of the expected retractions are happening
Bottom line: we know that there is an error rate in published research

EVEN IF THIS IS LOW, retractions are much rarer than we'd expect if the system was working well
Note: while it's true to say that retractions often take time, it's also true that of the 50 retractions around half were preprints. And if we only see retractions years after the pandemic has passed, isn't that an indictment on the system in and of itself?

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More from @GidMK

15 Dec
*distant screams of statisticians* Image
*more screaming, definite pain* Image
*screaming intensifies* Image
Read 7 tweets
14 Dec
So, I have had a proper read of this document, and I thought it might be worthwhile to actually go through and carefully analyze the document

Let's do some peer-review on twitter 1/n
2/n The document is a brief essay by the three authors of the Great Barrington Declaration, which I've screenshotted here for later reference, because it comes up in the essay:
3/n The essay discusses what the authors call "focused protection", so I think it's worth noting at the outset that the GBD explicitly argues against closures/restrictions of any kind, so that we can build up herd immunity
Read 28 tweets
14 Dec
Would be interesting to see the child's perspective here, because of nothing else there are many signs that the author is not a very reliable narrator
For example, the author says they are totally accepting but look at the language here

Both a bit offensive and some definite red flags
The author claims to want to support their child in making the right decision for themselves, but given that the child apparently identifies as a trans boy, but they've consistently identified them as a cis girl, it seems clear what decision the author considers the best choice
Read 4 tweets
13 Dec
People have asked about these, so here's a non-exhaustive list of pretty obviously flawed papers published in these leading journals this year
Kicking off, a research letter in JAMA that was pretty useless as evidence (including not even running a hypothesis test)

Next, JAMA opthalmology with "glasses protect against COVID-19" except the evidence was literally nonexistent

Read 11 tweets
9 Dec
Lockdowns have mostly not been associated with a large increase in suicide rates: a thread of evidence (CW: suicide, mental health) 🧵
Since this has been a major talking point throughout the pandemic, I thought I'd collate the now quite large evidence-base showing that suicide rates have mostly remained steady during lockdowns/COVID times
1. Queensland, Australia

Slight decrease in suicide rates after emergency announced, no statistical change over lockdown vs previous years thelancet.com/journals/lanps…
Read 13 tweets
8 Dec
Big news! Our systematic review and meta-analysis of the age stratified IFR of COVID-19 with @BillHanage, Andy Levin, and others has now been published in the European Journal of Epidemiology

link.springer.com/article/10.100…
The key figure from the paper - your risk of death from COVID-19 goes up exponentially by age:

1 in 50,000 at age 20
1 in 1,500 at age 40
1 in 130 at age 60
1 in 12 at age 80 Image
The other big thing we found was that the age breakdown of places almost entirely explained (~90%) the observed variance in population IFR Image
Read 4 tweets

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