Share this page!

Health Nerd Profile picture
Twitter logo
15 Dec, 7 tweets, 3 min read
*distant screams of statisticians*
*more screaming, definite pain*
*screaming intensifies*
* @ADAlthousePhD appears in the background as screaming gets louder*
*screams in graph form*
*distinct words can be heard through the screams*

"...a third of the total sample..."
People are wondering, so yes this is a published paper, have a read it's, uh, something

content.iospress.com/articles/journ…

• • •

Missing some Tweet in this thread? You can try to force a refresh
　

Keep Current with Health Nerd

Health Nerd Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @GidMK

Health Nerd Profile picture
14 Dec
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
Read 13 tweets
Health Nerd Profile picture
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
Health Nerd Profile picture
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
Health Nerd Profile picture
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
Health Nerd Profile picture
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
Health Nerd Profile picture
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

Did Thread Reader help you today?

Support us! We are indie developers!

This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!

Follow Us on Twitter!

Like this author's thread?

Get emails when @GidMK has new unrolls!

Check out other threads from @GidMK!

Read all threads by @GidMK