The somewhat depressing fact is that making COVID-19 predictions is essentially cost-free
No one will hold you accountable for predicting wrong, if they even remember in a few months time
The reality is that most people who have predicted the future of COVID with any certainty have made a lot of mistakes, but no one ever checks back to audit those in any meaningful way
There are people who get massive media attention once a month when they confidently predict that COVID-19 will be over in 4-6 weeks time, even though they've been doing it for over a year now
Here are two conflicting predictions, made at around the same time last year
Neither of these is remotely correct. Neither author has been forced to spend any time going over how very wrong they were
For clarity - the global toll of COVID-19 is large, but this "AI" model predicted 53 million deaths by April
The Oxford study that predicted herd immunity by April/May in the UK was similarly enormously off target
No one cares 🤷♂️
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People often make the claim that, during the COVID-19 pandemic, we have "failed to protect the elderly"
While initially this was definitely true (April/March 2020), I'm not sure the claim is accurate past that 1/n
2/n I'm basing my opinion here on seroprevalence data. This is basically data looking at who has antibodies to COVID-19, and therefore who was previously infected
Herd immunity through natural infection was always an absurd idea that made no sense whatsoever
Herd immunity through population vaccination is more complex
This is something covered in the John Snow Memorandum quite well, actually. There's no guarantee that immunity (even vaccine-induced) will last sufficiently long to ensure herd immunity
Very interesting study out of Denmark looking at SARS-CoV-2 reinfections:
- 0.65% symptomatic reinfections after 7 months
- in sensitivity analysis this doubled to 1.2%
- estimated ~80% short-term protection against reinfection
Studies like this make me very jealous of my Nordic colleagues. The authors had access to linked data for *the entire country of Denmark*, which is a pretty enormous strength of the research
Basically, they looked at every PCR test done in the first wave, and followed up every person to see if they had tested positive in the first, second, or both waves
Something I think about a lot is that studies don't get retracted because they're bad, they get retracted because they are famous
Don't get me wrong, they are ALSO bad. It takes a truly awful study to get a scientific journal to wrest itself free of apathy and inertia to take some action
But there are 1,000s of woeful papers
Thing is, no one is paid to catch bad research. It is a thankless, time-consuming task that at best earns you the mistrust of most of your peers
The basic explanation here is that the original article looked at whether Google "residential" mobility data was correlated with COVID-19 death rates, and found no association
There are significant drawbacks with that methodology, some of which I outlined in a thread
Your daily reminder that "I'm pro-vaccine except for THIS one" is literally the most common anti-vax line there is
The second most common line is "I'm pro-vaccine but I'm also pro informed choice" usually followed by a slew of lies and misinformation portraying vaccines as dangerous
So many replies missing the point. There's a big difference between common talking points and actions - most anti-vaccine advocates SAY they are only against one vaccine but then come up with similar arguments against ALL of them