I had not seen it, because I don't read this form these days. I can't reply in too much detail but here are some points:
I think it's a decent attempt, but a little biased towards the "statistically clever" estimate. I do agree that many studies are pretty done. However, I've seen good ones that include controls, confirm infection via PCR, are large, and have pre pandemic health data. This was in a Dutch presentation of a data set though, and not clearly reported for some reason. (This is the project, but their data is not publicly available: https://www.li...
Yes, vaccine injury is actually rather common - I've seen a lot of very credible case reports reporting either initiation of symptoms since vaccine (after having been infected), or more often worsening of symptoms. Top long COVID researchers also believe these.
I don't think the data for keto is that strong. Plenty of people with long COVID are trying it with not amazing results.
The 15% is an upper estimate of people estimating 'some loss' of health, so not everyone would be severely disabled.
Unfortunately, the data isn't great, and I can't produce a robust estimate right now
Uhm, no? I'm quoting you on the middle category, which overlaps with the long category.
Also, there's no need to speculate, because there have been studies linking severity and viral load to increased risk of long COVID. https://www.cell.com/cell/fulltext/S0092-8674(22)00072-1
You have far more faith in the rationality of government decision making during novel crises than I do.
Healthcare workers can barely or often not at all with with long covid.
Lowering infection rates, remaining able to work, and not needing to make high demands on the healthcare system seems much better for the economy. This is not an infohazard at all.
Awesome in depth response! Yes, I was hoping this post to serve as an initial alarm bell to look further into, rather than being definitive advice based on a comprehensive literature review.
I can't respond to everything, at least not at once, but here's some:
See figure 2 of this large scale survey: https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/bulletins/prevalenceofongoingsymptomsfollowingcoronaviruscovid19infectionintheuk/7october2021
"As a proportion of the UK population, prevalence of self-reported long COVID was greatest in people aged 35 to 69 years, females, people living in more deprived areas, those working in health or social care, and those with another activity-limiting health condition or disability"
No, these problems are most probably cause by a lack of oxygen getting through to tissues. There's a large amount of patients reporting these severe symptoms in patients groups, and they're not elderly.
It honestly feels to me like you really want to believe long COVID isn't a big deal somehow.
In addition, we know that 100% of patients with long COVID have microclots, at least in this study: https://www.researchsquare.com/article/rs-1205453/v1
Interestingly, they diagnosed patients not via PCR or antibodies, but based on exclusion and symptom diagnosis:
"Patients gave consent to study their blood samples, following clinical examination and/or after filling in the South African Long COVID/PASC registry. Symptoms must have been new and persistent symptoms noted after acute COVID-19. Initial patient diagnosis was the end result of exclusions, only a...
That French study is bunk.
Seropositivity is NOT AT ALL a good indicator for having had covid: https://wwwnc.cdc.gov/eid/article/27/9/21-1042_article
It is entirely possible that all those patients who believe they had COVID are right.
Some researchers believe absence of antibodies after infection is positively correlated with long covid (I don't have a source).
This study is bunk and it's harmful for adequate treatment of seronegative patients. The psychosomatic narrative has been a lazy answer stifling solid scientific research into illnesses that are not well understood yet.
Seropositivity is also not a good indicator for having had covid: https://wwwnc.cdc.gov/eid/article/27/9/21-1042_article
Some researchers believe absence of antibodies after infection is positively correlated with long covid (I don't have a source).
This study is bunk and it's harmful for adequate treatment of seronegative treatment.
This was very informative!
How would you translate this into a heuristic? And how much do I need to have a secondary skill, rather than finding a partner that has a great complementary skill?
I am not sure why you believe good strategy research always has infohazards. That's a very strong claim. Strategy research is broader than 'how should we deal with other agents'. Do you think Drexler's Reframing Superintelligence: Comprehensive AI Systems or The Unilateralist's Curse were negative expected value? Because I would classify them as public, good strategy research with a positive expected value.
Are there any specific types of infohazards you're thinking of? (E.g. informing unaligned actors, getting media attention and negative public opinion)
I agree with you that #3 seems the most valuable option, and you are correct that we aren't as plugged in - although I am much less plugged in (yet) than the other two authors. I hope to learn more in the future about
I'm not sure I understand what Allan is suggesting, but it feels pretty similar to what you're saying. Can you perhaps explain your understanding of how his take differs from yours?
I believe he suggests that there is a large space that contains strategically important information. However, rather than first trying to structure that space and trying to find the questions with the most valuable answers, he suggests that researchers should just try their hand at finding anything of value. Probably for two reasons:
Except that herd immunity isn't really a (permanent) thing; only temporary