I do find the impact of ivermectin on people's basic critical thinking quite fascinating. This article is filled with obvious, easily checkable lies, but just look at the popularity
The primary claim is that an ivermectin researcher, Andrew Hill, received a grant for $40mil in exchange for lying about ivermectin
This claim centers around a grant awarded by UNITAID to the University of Liverpool for $32mil (the article incorrectly states $40mil) - UNITAID released a press release on the 12th of Jan, the preprint was published on the 8th. Dodgy, right?
Except, as even a very quick Google shows, the grant was ACTUALLY AWARDED in...2019
So in fact, the grant was awarded long before anyone looked at ivermectin for COVID-19. The UNITAID press release in 2021 was actually about the *launch* of the centre, not the award of funds
This statement, the key argument of the article, is a straightforward untruth. A lie. The grant was awarded long before this, it was for a different amount, and even the press release went up four days AFTER the preprint
The entire article is based on a lie that takes minutes to disprove. That press release is the second result on Google. And yet, it's printed and spreads because no one in the ivermectin crowd appears to care if it is true or not 🤷♂️
(I didn't even discuss the fact that the grant is primarily for early stage research, in a different department of the university to Hill, and as far as I can tell has nothing whatsoever to do with him. But even the temporal correlation is a lie)
For transparency, I've talked to Andrew Hill three times on zoom about ivermectin and he included me on a poster his team recently presented about the impacts of fraud on the literature
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3/n The design was very simple - take routine data on people who either had or had not elected to be part of an ivermectin distribution program, and controlled for a small number of confounding variables using either a propensity-score or regression model
Also, worth noting that in this whole process the editors of Scientific Reports have been really good. The faults lie with the system, not individuals, who mostly appear to genuinely care about science and evidence
One of the more hilarious things that the ivermectin crowd is currently doing is equating any funding ever received by the Gates Foundation as being purchased personally by Bill Gates
For example, @UNITAID. Various bizarre claims have been made that any funding from Unitaid is equivalent to receiving a personal bequest from Bill Gates
However, even a very cursory examination shows that the Gates Foundation contributes only a tiny fraction of the Unitaid budget. The main funder is France, followed by the UK
Today, our letter about a paper in Nature Scientific Reports that claimed to find no evidence that staying at home reduced Covid-19 deaths was published
2/n The original paper came out in March, amid the huge worldwide epidemics, and was immediately a massive hit. After 9 months, it has been accessed nearly 400k times and has one of the highest Altmetric scores of any paper ever
3/n The paper has also been, I think it's fair to say, one of the more impactful pieces of work during the pandemic. It is still regularly cited everywhere to support the idea that government restrictions against Covid-19 don't work
Abortion statistics are a fascinating example of bias, because there are a great many misconceptions about abortion that are nevertheless common
Try and answer the following questions without looking them up
(I'm using mostly US/EU/Aus stats here, while some of this is generalizable to other places, many of the stats will be very different particularly in low-income regions. Also, even within similar countries these stats can be quite different, so this is very general)
1. What is the most common age-group for people who have induced abortions?
The most important work that I've done this year - we found that the IFR of COVID-19 is double as high in developing countries compared to high-income places medrxiv.org/content/10.110…
(The graph above is a new figure that will soon be in the updated medrxiv preprint)
As you can see from the figure above, this difference is largest in young people and tapers off in the elderly. By age 80, the IFR is only 1.3x higher in developing countries than high-income areas