There are times I'm glad I left health science/biology/medicine as a field and it's interesting to watch people slowly realize just how badly structured the entire human health field is organized (from academic research to research hospitals to profit hospitals to world health organizations) and how all the incentives are messed up.
The closer you get in biology to human health, the more ego, tribalism, and assholery you have to deal with. Something about "saving lives" really brings out the intelligent jerks and the sharks.
As a contrast, I enjoy working in computing so much more. The experiments people run are replicable, the code compiles, and people (in general) are far less egotistical and arrogant (still plenty of sharks, though).
I've watched enough major paradigm shifts in my own fields to know that embracing humility, admitting your own ignorance, and being open to new ideas is key to the furtherment of science.
Sharks are opportunists- for example people who wait for somebody else to do all the hard work, then come in, take over and get all the credit. It's not a really strong analogy but I've heard many people in biotech referring to sharks in that context.
I will second this as I am currently working in the biotech field. The amount of short sighted thinking and opportunism from small start ups to the most massive CMO's in the world is staggering.
My take is that the whole field is extremely underfunded and that breeds levels of competition and short term profit seeking, but that's probably a biased opinion.
I'm sure if the field had the level of VC support that traditional software/computing gets we would be making huge strides with our humanity.
I don't know if the field is underfunded. What I'd say is that the area is very risky (few ideas really pan out), there are lots of powerful incumbents who want to retain the many-billion-$ revenue streams, and it's very costly to test. But I also see people wasting huge amount of money chasing ideas that really would be better handled with shotgunning (the tech VCs I used work with said "why would I want to invest $20M in a biotech that fails after 20 years, when i can invest $1M in 20 tech startups and one of them will make $1B in 2-3 years?").
It's not clear to me that investing more money helps, either. For example, the NIH doubled its budget during the Clinton era, leading to far higher numbers of grad students being trained than there were positions (prof, etc) in their fields. So there was a glut, super-high competition for a limited number of spaces, and many people dropped out of the race to be a prof and instead went to be ML/data science people at ads firms.
Not to sound alarmist, but recent events have felt like the early warning of a pending collapse of our country. When I saw healthcare workers and officials abandon logic, reason, and evidence to put their weight behind justifying recent mass protests, I really lost a lot of faith. These protests obviously will result in thousands more deaths (much larger in number than unjust police-involved deaths). This is no longer about losing faith in institutions alone, but really about losing faith in fellow citizens who are willfully burying their heads in the sand and willfully acting in bad faith nearly all the time. Of course, there is plenty of blame to hand out for all sides, going back well before recent events and well before COVID-19 itself.
My question for HN: what has happened to past societies when they reach this point, where emotions and tribalism cause all sides to hate each other, to talk past each other, to hold each other to unequal standards, to use every last loophole/technicality to win through bad faith means, etc.? Have any such societies de-escalated from there to a point of stability again?
I agree the times are worrying. What's keeping me reassured is that the radical protest elements are very small with regard to our countries population's. There are far more people not expressing their opinion and it gives me hope that cool heads are silently prevailing.
I think that you are making the same mistake that you are accusing healthcare workers and officials of making. You are assuming that these protests will "obviously" result in thousands more deaths because it feels that way to you. I believe that that's pretty unlikely, though, since there are probably fewer than a million protestors across the country. Many of the protestors are wearing masks and the protests being outside reduces the risk of spreading the disease. There will certainly be some spread due to the protests, but probably not nearly as much as at grocery stores or churches. You are also assuming that this is just about unjust police-involved deaths; it is not. It is about the many millions of negative interactions with the police and justice system that perpetuate poverty (police lying under oath, egregious sentences for non-violent crimes, etc.) I don't think it's a bad faith argument to say that correcting these injustices is more important than maintaining a totally strict quarantine.
The reason both sides talk past each other is because they have different values and different assumptions. Based on your post your first priority is preventing deaths and your assumption is that these protests will cause more deaths than they prevent. My first priority is living in a fair world, with preventing deaths being a close second. My assumption is that the protests will not cause a large number of excess deaths, but that they do have a high chance of moving our justice system closer towards real justice. I also am making the assumption that living in a fair and just society will increase overall health outcomes over the long term.
I believe that most (but definitely not all) people don't argue in bad faith, they just have different values and make different assumptions. There's not much that can be done about having different values, but better data can help every side have more similar assumptions, which should help opinions to converge somewhat.
I don't think number of deaths (from whatever cause) was the primary point of the post you're replying to. The concern is pretty clearly the destruction of trust, the widespread lack of logical consistency amongst people we're supposed to defer to due to their expertise, etc.
> You are assuming that these protests will "obviously" result in thousands more deaths because it feels that way to you. I believe that that's pretty unlikely, though, since there are probably fewer than a million protestors across the country. Many of the protestors are wearing masks and the protests being outside reduces the risk of spreading the disease.
I am not the one saying this. Trevor Bedford (Associate Professor in the Department of Epidemiology at the University of Washington) noted that the protests will add 200-1100 deaths per day of protests: https://twitter.com/trvrb/status/1269533303536664576. This is based on his mathematical modeling of the protests.
> I don't think it's a bad faith argument to say that correcting these injustices is more important than maintaining a totally strict quarantine.
My point is that if one [demographic or political] subset of people gets to evaluate the tradeoffs and decide for themselves that yes, protesting is worth it even with the risks of the coronavirus, then everyone should get to exercise that choice. You and I should get to exercise that choice when we visit a business or take on some outdoor activity or whatever. It seems to me that personal discretion is allowed only for favored groups and causes, and that seems in itself, unjust.
> The reason both sides talk past each other is because they have different values and different assumptions.
I think this is probably correct. So to rephrase my question, can a society with two big groups holding such divergent values survive? Or is it inevitable that is splits apart?
Whenever science and politics intersect, science loses. If science is studying something apolitical like the metabolism of water bear or a quasar burst from a distant galaxy it’s fine. Throw politics in the mix and the waters become muddied very quickly when funding and reputational concerns motivate and corrupt a delicate process.
Politics is like Lennie who wants to pet the rabbits. Science is like the rabbits.
I am honestly and hearteningly surprised to even hear these sentiments from someone else here, which I have now observed for years. It's one reason why I love HN.
I'm not in the science field, but I absolutely am a student of human nature (and mindfulness). It's unbelievable how much the mechanism of science is dirtied, distorted, and abused by our emotional pride, greed, tribalism, fear, and all other aspects of human nature, which show that - for all our intelligence - we humans are wired for survival, and only wired for truth if and when it helps that survival. If truth comes at odds with it, we will lie - even if to ourselves, and at very deep subconscious levels - as much as we need to.
How this biological reality plays out is complex. It's not just in our lizard brain, but the entire realm of our secondary limbic brain, with its 'tribal' swirl of social emotions and resulting behaviours. 'Survival' means a great of things, not just literal survival right in front of you right now. It's a powerful and primary goal coursing through our blood and all behaviour at the deepest and most subtle levels. We would do well to educate about this fact, and practice mindfulness to be able to see it in ourselves.
The people who said that lockdown needed to be limited in length because people couldn't take it for long were right.
Unfortunately, due to not understanding exponentials, many advocated for starting the lockdown later: hence the UK's delayed lockdown and therefore highest death toll in Europe.
The people advocating for "herd immunity" never addressed the death rate; a death rate of even 0.5% in the UK would be
three hundred thousand people, plus more with lingering side effects. As it is, we've confirmed 287k infected for 40k deaths, or 0.5% of the country infected. A very, very long way from immunity.
What does that 287k include? Presumably just positive test cases? Probably there are far more undiagnosed infections that didn't require hospitalization. If the IFR was really 14% like your numbers suggest, we would see politicians putting themselves in submarines, lol. That's almost halfway to black plague IFR. The CDC's recent data suggests an actual IFR of well below 1%.
> Unfortunately, due to not understanding exponentials, many advocated for starting the lockdown later.
I think you misunderstand the reasoning. If you want to wipe a disease out you lockdown as soon as you can. If you want to flatten the curve, you lockdown just before the peak, so as to prevent it. Or if you are ok with flattening the curve for a longer time, you lock down just before you reach capacity.
I'm sorry, I've been reading and re-reading this. Were you being snarky? With perfect forethought, why would anyone ever choose against wiping out the disease early?
> Unfortunately, due to not understanding exponentials, many advocated for starting the lockdown later: hence the UK's delayed lockdown and therefore highest death toll in Europe.
UK's strategy was as advised by various epidemiology teams across the country, predominantly Imperial and Oxford. They understand exponentials. That's epidemiology 101.
> The people advocating for "herd immunity" never addressed the death rate; a death rate of even 0.5% in the UK would be three hundred thousand people, plus more with lingering side effects.
That was acknowledged. They were concerned that suppression was infeasible, and would cause more deaths
e.g. if there is a second wave during UK winter, or if lockdown has knock on health impacts.
> As it is, we've confirmed 287k infected for 40k deaths, or 0.5% of the country infected. A very, very long way from immunity.
The number of confirmed cases is smaller than the number of actual cases, since many cases are asymptomatic and hence typically not tested.
Epidemiology and public health is a complex field, beyond armchair analysis.
I read everything downthread of this and am flummoxed at how much people are talking past each other. If the UK has 40k deaths, the only way the UK is close to herd immunity is if the IFR 0.05%. People can quibble about how many actual cases there are, but no matter how you slice it, reinforcing the parent poster, we are a long way from herd immunity.
Also, remember that if you want to argue the IFR down, that means you're arguing the R0 up, which makes herd immunity more difficult.
actually I think there's been a tremendous amount of discussion wrt the true fatality rate, and since the lockdown started, estimates across the board have been tumbling.
People deciding that a certain arbitrary fatality rate would be unacceptable, and lockdown adversely affecting basically everyone was preferable, usually do so without any kind of reasoning but hide behind the notion that life has near infinite value.
If you trust the death rate, and the number of deaths reported are both accurate, the UK is at 40k/300k = 13%. A very long way from immunity, but not 0.5%.
Your own numbers show this is totally incorrect: death rate 0.5% times 40k deaths, means infected is 8 million (or more precisely the count was that number some weeks ago as deaths take time to happen).
this has been an obvious calculation from the start and I am not the only person trying to correct the misuse of the confirmed infected count (287k) for your conclusion.
I agree that the numbers don't match up and the country is almost certainly more infected than we think, but we cannot know how widely infected we are until we've done the testing! Even the death rate has a factor of two variance between "definitely COVID" and "excess deaths".
The failure to ramp up testing is yet another thing to blame the poor government response for.
It's a misstatement that's not needed to make the point - if we assume 8 million infected, that's far too few to talk about herd immunity; and achieving herd immunity would involve many times more deaths than the current (already very sad) number.
Just a quiet reminder that accounting for other peoples' actions with "partisanship" and "tribalism" is just a very easy way to stop thinking about their reasoning or motivation. If someone explained your behavior away as unthinking loyalty or allegiance you would be offended-- and rightfully so.
P.S. This article is not an apolitical analysis of politics, this journal is not an apolitical scientific journal.
Evaluating whether an opinion is partisan is not ignoring their reasoning or motivation. Quite the opposite, it is evaluating their reasoning and motivation and determining the extent to which that reasoning and motivating is influence and determined by partisanship or group affiliation.
Expert opinion is supposed to be formed by empirical evidence and science. Not political affiliation or personal opinion. For instance, an expert opinion would be, "protests of X size stand to increase rates of infection by Y%" Whether or not a certain protest justified in accepting that increase of infection is a question of personal values not medical science.
Is protesting against police brutality worth the increased rate of infection? Is protesting against the lockdowns and subsequent mass unemployment worth the increased rates of infection? It's fine to form your own answers to these questions. But these are questions determined by values, not science. Expert opinions have no business trying to answer these. But medical experts are making the latter statement, and are doing so in a way that comes off as extremely partisan:
> We can show that support by facilitating safest protesting practices without detracting from demonstrators’ ability to gather and demand change. This should not be confused with a permissive stance on all gatherings, particularly protests against stay-home orders. Those actions not only oppose public health interventions, but are also rooted in white nationalism and run contrary to respect for Black lives.
How on Earth are we supposed to trust these experts' advice on when to lift lockdowns when they openly state that resistance to lockdowns is rooted in white nationalism? Let alone the double standard in supporting some protests while opposing others. As much as I am inclined to defer to experts, messages like these makes it extremely hard for me to do so here. When medical experts are making statements like these, it is highly indicative of reasoning informed by partisanship rather than science.
There's a lot of experts out there, and depending on how the people who fill your feed pick and choose them, they can make them say anything they want. Some experts might change their minds when confronted with a new extraordinary situation. Others are, well, not experts, they just have the credentials of experts.
"Experts" have been decried as hypocrites and frauds since the time of Lao Zi, for what its worth. All your interactions with expertise are mediated and indirect, except the expertise you yourself have.
"don't wrestle with a pig. You'll both get dirty but the pig will love it"
Somehow the lowest kind of politics, on all sides, manage to drag us all down to their level. A culture war is just like any other war in the sense that on the battlefields nobody wins, and both sides lose.
As a child growing up late last century, I always wondered how prosperous progressing culture's could have collectively devolved into the dark ages. I saw the seeds of the unraveling start in the 80's, but like any exponential process, it took some time to become a clear vector.
I am not sure this is a preventable or correctable evolution at this point, as the devolution forces are enshrined within the system itself, leaving only room for a collapse at the meta level.
"You’re probably doing it right now — skimming quickly to the end of this piece to see if I’m criticizing you or only those other people who behave so irresponsibly."
An article decrying prejudice gives us its own demonstration of it. Does that somehow make the case better?
Has anyone here changed their mind about COVID19 in a major way as the data has become more complete?
Just wondering. I have sensed in myself tribalistic tendencies of not changing my mind when the data changes. I'm trying hard to look at myself and recognize it and experiment with different thoughts.
I find myself bouncing between thinking we have overreacted to then thinking that my perception of an overreaction is paradoxical because we did lock down and have contained the virus' damage to some extent. I'm trying hard to be super open-minded about the data, and recognizing that I'm just a simple primate whose brain doesn't want to expend energy and resorts to bias to conserve it.
I was very worried about Covid-19 when the initial data and charts were coming out of China and Italy. It seemed like it was going to quickly overwhelm all the hospitals in America. Since then, I've become much less scared about the impact on me personally, and more skeptical about the need for most (not all) lockdown measures. This was based on my reading of antibody prevalence data, and data on death rates separated out by age and risk factors.
At this point, I think Sweden strategy makes the most sense. It is sustainable for many months, unlike more extreme lockdowns. Additionally, I think more strict lockdowns on older population makes sense. For 90%+ of the population, I think we can lift most/all lockdown measures today.
My opinion of its severity has dropped and continues to drop quite significantly. I bought a lot of supplies in late January because I saw videos coming out of China of people dropping in the streets and them welding entire buildings shut with people in them, stuff I'd never seen before.
I still don't fully know how to reconcile that with what happened. That is, more than just saying "oh, those videos were fake"... well, why? Who made them? Why were they made? I dunno. Even ignoring those it still looks an awful lot like China covered an awful lot of stuff up.
Regardless, whatever made it overseas didn't seem to do that. Evidence at this point seems to suggest a lot more people got it than we realized, without them even realizing it [1]. Any number of possible reasons. Unfortunately, between the tribalism, the outright coverups by the Chinese, and the "errors" if you are generous and "lies" if you are not in our own media, I don't expect to ever have a good grasp of what actually happened.
(Even so, purchasing supplies was the right move. Our local stores never really quite "ran out" of stuff for extended periods of time, but I was reasonably well prepared for what was certainly some supply chain disruption, and had a good practice run for some other real disaster in the future. Got a better idea of how to stock the food up in more effective ratios now.)
[1]: Possibly concerning, and I hope some follow-up study is done on this. Estimates of modern spread rates of disease based on COVID-19 could end up being really wrong if we underestimate how far it spread.
I was skeptical of covid-19 from the start (check my comment history) even though the data appeared to be against me initially. My "gut" told me we were overreacting though, and a lot of things didn't make sense (like the aircraft carrier full of asymptomatic sailors). I was browbeaten and I conformed, assuming the data would eventually prove me wrong. I dutifully wore a mask and social distanced and didn't let my kids go to the park to be a "team player" but now I'm kind of angry that I'm slowly being vindicated. Not because I was "correct" in my predictions, but because of how sure the zealots were of their position while browbeating me into conformance.
I'll never get an apology, of course. It'll just be the same old "not my fault, I formed my view based on the expert guidance of the time, what else could I have done?" Strong opinions, loosely held, indeed.
I was pro lockdown at the beginning. Now, I’m convinced that we could have gotten most of the benefits with a substantially less invasive approach, especially outside the mega cities.
At the start (by which I mean late Feb/early March as I wasn't paying attention before then), I believed it all. I was worried about the ventilator crisis and wanted to find ways to help manufacture or mass create them.
Towards the end of March I started to realise that I kept reading about the supposed impending ventilator shortage, but it should have happened already and yet we didn't seem to be ever quite running out. Then a newspaper published some article about the history of Professor Ferguson and his failed foot-and-mouth disease models. I went and read some papers about the failings of epidemiology and was really shocked at how divergent the views were on the utility of these models.
Then in the comments on that story, I found someone linking to https://swprs.org/a-swiss-doctor-on-covid-19/ which just had so much data, so many links to raw sources and interviews with skeptical doctors. At that point I started to realise that many of the comments I was reading here on HN appeared to be mixing up predictions with reality; I kept reading people here talk about how Italy was experiencing mass deaths and hospital overflow yet on the SWPRS site there were links to actual articles in Italian where hospital officials said they hadn't yet run out of capacity, they weren't yet turning people away, they were just worried it might start soon. And this kept happening. Moreover my attempts to point this out kept getting voted down, so that's when I realised it was going ideological. A lot of people were desperate to correct "misinformation" and were just getting angry at anything that contradicted the official narrative. There was no rational reason to vote down posts saying "actually the situation is better than you think" yet it was happening.
So I guess that's the point I became a serious lockdown skeptic. The disparity between what people consuming regular media believed vs what the raw (often non English) data was saying just became too wide. And after that I believe everyone has been catching up, especially now with this "protests against health policies are dangerous but protests against racism aren't" nonsense.
Yes, but early. I changed my mind from thinking it was "just the flu - I'm going to get it, but probably won't be able to tell it apart from a cold" to "this is probably a big deal that I really don't want to get" in late February. Haven't found any information to make me change my mind since, even as public opinion has yo-yo'd.
The critical information for me was data on hospitalization rates, along with some math on hospital capacity and exponential infection rates. Before, I'd looked at the death rate for 20-40 year olds of ~0.1% and figured it wasn't a big problem for me. Then I realized that the 20% "severe" cases out of Wuhan was actually the percentage that required hospitalization, not just the percentage that develop pneumonia (which is ~60% of symptomatic cases, ~30% of infections). And it doesn't vary by age range nearly as much as the death rate does: while only about 0.1% of 20-40 year olds die from COVID-19, 3-5% end up in the hospital, only about 4x lower than the ~20% of 65+ seniors that do. (These numbers already account for asymptomatic infections, which are about 50% of cases. The Wuhan numbers didn't, so halve them.) And the average hospital stay lasts for 3-5 weeks. With the doubling time of unchecked COVID-19, we could potentially end up with 150M infections during the time period of one hospitalization. 10% hospitalization rate over the whole population, and that's 15M hospitalizations, well over the number of hospital beds in the U.S.
If you gather data from a wide variety of sources instead of grabbing the latest headline, most of the relevant data hasn't actually changed all that much since February. Back then we were saying a roughly 2% CFR; now best estimates are a 1-1.25% IFR, which is completely consistent with that when you add the new information that 50% of infections are asymptomatic, which was discovered in late February. IFRs in situations where the whole population was tested (eg. South Korea, the Diamond Princess) were about 0.7-1.5%, depending on the age of the population. The age curve data from Wuhan has held up remarkably well across Europe and NYC. R0 and doubling time was pretty consistent across most temperate northern climates before the lockdowns (1.5-2.5 days in most of Europe and the U.S.). The progression of the virus when unchecked was also quite consistent between Wuhan, Italy, and NYC, as was the effect of the lockdown.
I'm surprised at how little effect even a strict lockdown (western style - Wuhan style was much more effective) had compared with the Swedish approach. I did not expect cases to rise so slowly and even plateau with the policy that Sweden chose, and I did not expect cases and deaths to decrease so slowly with the policies that Spain, France, Belgium and Italy chose.
I now suspect that ending lockdowns, temporarily banning just a couple of high risk activities such as conferences and clubbing, universal mask wearing, and extra protection in hospitals and long term care homes might be enough, at least until October (in the Northern hemisphere).
I'm in the same boat as you. It's exhausting to try to avoid these tendencies. How comfy it must be to give in and accept them with no further thought.
The most frustrating times are those moments when I fear I'll never root out all of my biases or tribalistic tendencies and become an enlightened human. But onward and upward, eh?
I don’t know what you mean by “change your mind”. I’ve come to understand that it is much less infectious outdoors, that it is more responsive to moderate social distancing than we though initially (possibly due to super spreading?) and that masks appear to work well. This has made me more relaxed about many activities.
I continue to believe that it’s an extremely infectious RNA virus that will spread exponentially in situations where people are in close proximity or indoors without social distancing and masks. I think New Orleans, NYC, Lombardy, Wuhan, and the ongoing situation in Brazil are more than enough evidence for that. I also think the success of Europe and China in using social distancing plus test/trace/isolate to tamp down their epidemics is pretty solid evidence that this was the right strategy, and I’m incredibly disappointed that America was incapable of executing on it.
The question I think you’re asking is: given that we failed to take the right advice, have I given up on trying to make us take it? And the answer is: basically yes. I think we’ll have to let nature take its course and protect ourselves now.
I at first thought exponential was an overhyping - and that it would self limit far more. It quickly became clear that the long incubation period and infectivity made it very not self limiting, especially with the absolute hash made of the response as ass-covering was preferred over getting real data. Now we are largely in an awkward halting problem situation of not knowing if it will trigger a second wave and if the second wave will level off, form an endemic stable background rate, or explode again.
Say we believe that the number of people that will be killed be coronavirus is 10^x where x is a gaussian random variable with mean 5 and standard deviation 1. What is the expected number of people killed? In the case we believe to be most common, the expected number of people to be killed is 100,000. However, the the mean value of this distribution is 1.4 million, https://www.wolframalpha.com/input/?i=X%7EGaussian%285%2C1%2...
This is a the very strongest mathematical case for pessimism that I can give. Any argument that "we should have been less cautious" is automatically bullshit.
I was less worried about it at the beginning - I think I had a decent understanding of how fatal it was, but underestimated how contagious it was.
I think I came around to a mental model of how to react fairly early on, though. The basic model was stay at home until either a vaccine arrives or until we have anti-viral treatments that reduce severity and improve outcomes. Neither has happened, so I'm in the same boat.
It's great - great - that the lockdown has reduced occurrences of it so much. And I recognize the argument that if we've tamped down on it enough, that it's safer to go out there. But... an x% less likelihood of catching it doesn't mean it will be x% less severe when you do catch it. I think that a lot of non-technical people are confused on that point.
And finally, even if we did have really good contact-tracing... that doesn't help you, it only helps your friends. There are still those two days when people are contagious without being symptomatic. That's just still reality, I don't see a way around that. A healthy people can die from interacting with a seemingly healthy person.
Besides, what happened to contact tracing anyway? I thought we were going to have this snazzy contact-tracing tech on our phones and watches by now, courtesy of Apple and Google. I'm sure our contact-tracing is still lousy overall. It's great we have more tests, but we're not at the point where we would have been able to stop February in its tracks.
So overall... yeah, I've changed my minds in ways, like recognizing that the probabilities are more on my side than they used to be, so I feel a little safer if I have to go to the doctor/dentist for non-COVID reasons. But other than that, it's still a super-contagious virus that has a decent chance of really screwing up your life even if you aren't 80+, so... I'm still in the "stay at home until treatment/virus improves" camp.
"The basic model was stay at home until either a vaccine arrives or until we have anti-viral treatments that reduce severity and improve outcomes."
Something key about this statement:
This was not what the public was initially told. We were told that the lockdown was to flatten the curve while testing was ramped up and to ensure that the rate of infection was slowed to prevent a spike from causing avoidable deaths due to an overwhelmed health care system. It wasn't sold as reduction of the area under the curve.
The narrative of staying locked down until a vaccine was developed didn't happen until after the lockdown became a political football. That was a ridiculous notion, based on the typical time to develop vaccines, especially since a coronavirus vaccine has never been developed before for SARs or any others.
The closer you get in biology to human health, the more ego, tribalism, and assholery you have to deal with. Something about "saving lives" really brings out the intelligent jerks and the sharks.
As a contrast, I enjoy working in computing so much more. The experiments people run are replicable, the code compiles, and people (in general) are far less egotistical and arrogant (still plenty of sharks, though).
I've watched enough major paradigm shifts in my own fields to know that embracing humility, admitting your own ignorance, and being open to new ideas is key to the furtherment of science.
My take is that the whole field is extremely underfunded and that breeds levels of competition and short term profit seeking, but that's probably a biased opinion.
I'm sure if the field had the level of VC support that traditional software/computing gets we would be making huge strides with our humanity.
It's not clear to me that investing more money helps, either. For example, the NIH doubled its budget during the Clinton era, leading to far higher numbers of grad students being trained than there were positions (prof, etc) in their fields. So there was a glut, super-high competition for a limited number of spaces, and many people dropped out of the race to be a prof and instead went to be ML/data science people at ads firms.
My question for HN: what has happened to past societies when they reach this point, where emotions and tribalism cause all sides to hate each other, to talk past each other, to hold each other to unequal standards, to use every last loophole/technicality to win through bad faith means, etc.? Have any such societies de-escalated from there to a point of stability again?
Edit: typo
The reason both sides talk past each other is because they have different values and different assumptions. Based on your post your first priority is preventing deaths and your assumption is that these protests will cause more deaths than they prevent. My first priority is living in a fair world, with preventing deaths being a close second. My assumption is that the protests will not cause a large number of excess deaths, but that they do have a high chance of moving our justice system closer towards real justice. I also am making the assumption that living in a fair and just society will increase overall health outcomes over the long term.
I believe that most (but definitely not all) people don't argue in bad faith, they just have different values and make different assumptions. There's not much that can be done about having different values, but better data can help every side have more similar assumptions, which should help opinions to converge somewhat.
I am not the one saying this. Trevor Bedford (Associate Professor in the Department of Epidemiology at the University of Washington) noted that the protests will add 200-1100 deaths per day of protests: https://twitter.com/trvrb/status/1269533303536664576. This is based on his mathematical modeling of the protests.
> I don't think it's a bad faith argument to say that correcting these injustices is more important than maintaining a totally strict quarantine.
My point is that if one [demographic or political] subset of people gets to evaluate the tradeoffs and decide for themselves that yes, protesting is worth it even with the risks of the coronavirus, then everyone should get to exercise that choice. You and I should get to exercise that choice when we visit a business or take on some outdoor activity or whatever. It seems to me that personal discretion is allowed only for favored groups and causes, and that seems in itself, unjust.
> The reason both sides talk past each other is because they have different values and different assumptions.
I think this is probably correct. So to rephrase my question, can a society with two big groups holding such divergent values survive? Or is it inevitable that is splits apart?
Politics is like Lennie who wants to pet the rabbits. Science is like the rabbits.
I'm not in the science field, but I absolutely am a student of human nature (and mindfulness). It's unbelievable how much the mechanism of science is dirtied, distorted, and abused by our emotional pride, greed, tribalism, fear, and all other aspects of human nature, which show that - for all our intelligence - we humans are wired for survival, and only wired for truth if and when it helps that survival. If truth comes at odds with it, we will lie - even if to ourselves, and at very deep subconscious levels - as much as we need to.
Rationalisation: https://en.wikipedia.org/wiki/Rationalization_(psychology)
How this biological reality plays out is complex. It's not just in our lizard brain, but the entire realm of our secondary limbic brain, with its 'tribal' swirl of social emotions and resulting behaviours. 'Survival' means a great of things, not just literal survival right in front of you right now. It's a powerful and primary goal coursing through our blood and all behaviour at the deepest and most subtle levels. We would do well to educate about this fact, and practice mindfulness to be able to see it in ourselves.
Unfortunately, due to not understanding exponentials, many advocated for starting the lockdown later: hence the UK's delayed lockdown and therefore highest death toll in Europe.
The people advocating for "herd immunity" never addressed the death rate; a death rate of even 0.5% in the UK would be three hundred thousand people, plus more with lingering side effects. As it is, we've confirmed 287k infected for 40k deaths, or 0.5% of the country infected. A very, very long way from immunity.
I think you misunderstand the reasoning. If you want to wipe a disease out you lockdown as soon as you can. If you want to flatten the curve, you lockdown just before the peak, so as to prevent it. Or if you are ok with flattening the curve for a longer time, you lock down just before you reach capacity.
UK's strategy was as advised by various epidemiology teams across the country, predominantly Imperial and Oxford. They understand exponentials. That's epidemiology 101.
> The people advocating for "herd immunity" never addressed the death rate; a death rate of even 0.5% in the UK would be three hundred thousand people, plus more with lingering side effects.
That was acknowledged. They were concerned that suppression was infeasible, and would cause more deaths e.g. if there is a second wave during UK winter, or if lockdown has knock on health impacts.
> As it is, we've confirmed 287k infected for 40k deaths, or 0.5% of the country infected. A very, very long way from immunity.
The number of confirmed cases is smaller than the number of actual cases, since many cases are asymptomatic and hence typically not tested.
Epidemiology and public health is a complex field, beyond armchair analysis.
Also, remember that if you want to argue the IFR down, that means you're arguing the R0 up, which makes herd immunity more difficult.
People deciding that a certain arbitrary fatality rate would be unacceptable, and lockdown adversely affecting basically everyone was preferable, usually do so without any kind of reasoning but hide behind the notion that life has near infinite value.
Of course, this is inaccurate, since many more have had it and not gotten confirmed positive tests.
Your own numbers show this is totally incorrect: death rate 0.5% times 40k deaths, means infected is 8 million (or more precisely the count was that number some weeks ago as deaths take time to happen).
this has been an obvious calculation from the start and I am not the only person trying to correct the misuse of the confirmed infected count (287k) for your conclusion.
Honest question: why do you not know this?
Leading with an insult?
I agree that the numbers don't match up and the country is almost certainly more infected than we think, but we cannot know how widely infected we are until we've done the testing! Even the death rate has a factor of two variance between "definitely COVID" and "excess deaths".
The failure to ramp up testing is yet another thing to blame the poor government response for.
P.S. This article is not an apolitical analysis of politics, this journal is not an apolitical scientific journal.
Expert opinion is supposed to be formed by empirical evidence and science. Not political affiliation or personal opinion. For instance, an expert opinion would be, "protests of X size stand to increase rates of infection by Y%" Whether or not a certain protest justified in accepting that increase of infection is a question of personal values not medical science.
Is protesting against police brutality worth the increased rate of infection? Is protesting against the lockdowns and subsequent mass unemployment worth the increased rates of infection? It's fine to form your own answers to these questions. But these are questions determined by values, not science. Expert opinions have no business trying to answer these. But medical experts are making the latter statement, and are doing so in a way that comes off as extremely partisan:
> We can show that support by facilitating safest protesting practices without detracting from demonstrators’ ability to gather and demand change. This should not be confused with a permissive stance on all gatherings, particularly protests against stay-home orders. Those actions not only oppose public health interventions, but are also rooted in white nationalism and run contrary to respect for Black lives.
How on Earth are we supposed to trust these experts' advice on when to lift lockdowns when they openly state that resistance to lockdowns is rooted in white nationalism? Let alone the double standard in supporting some protests while opposing others. As much as I am inclined to defer to experts, messages like these makes it extremely hard for me to do so here. When medical experts are making statements like these, it is highly indicative of reasoning informed by partisanship rather than science.
There's a lot of experts out there, and depending on how the people who fill your feed pick and choose them, they can make them say anything they want. Some experts might change their minds when confronted with a new extraordinary situation. Others are, well, not experts, they just have the credentials of experts.
"Experts" have been decried as hypocrites and frauds since the time of Lao Zi, for what its worth. All your interactions with expertise are mediated and indirect, except the expertise you yourself have.
Somehow the lowest kind of politics, on all sides, manage to drag us all down to their level. A culture war is just like any other war in the sense that on the battlefields nobody wins, and both sides lose.
As a child growing up late last century, I always wondered how prosperous progressing culture's could have collectively devolved into the dark ages. I saw the seeds of the unraveling start in the 80's, but like any exponential process, it took some time to become a clear vector.
I am not sure this is a preventable or correctable evolution at this point, as the devolution forces are enshrined within the system itself, leaving only room for a collapse at the meta level.
I may be wrong. I truly hope I am.
An article decrying prejudice gives us its own demonstration of it. Does that somehow make the case better?
Has anyone here changed their mind about COVID19 in a major way as the data has become more complete?
Just wondering. I have sensed in myself tribalistic tendencies of not changing my mind when the data changes. I'm trying hard to look at myself and recognize it and experiment with different thoughts.
I find myself bouncing between thinking we have overreacted to then thinking that my perception of an overreaction is paradoxical because we did lock down and have contained the virus' damage to some extent. I'm trying hard to be super open-minded about the data, and recognizing that I'm just a simple primate whose brain doesn't want to expend energy and resorts to bias to conserve it.
At this point, I think Sweden strategy makes the most sense. It is sustainable for many months, unlike more extreme lockdowns. Additionally, I think more strict lockdowns on older population makes sense. For 90%+ of the population, I think we can lift most/all lockdown measures today.
I still don't fully know how to reconcile that with what happened. That is, more than just saying "oh, those videos were fake"... well, why? Who made them? Why were they made? I dunno. Even ignoring those it still looks an awful lot like China covered an awful lot of stuff up.
Regardless, whatever made it overseas didn't seem to do that. Evidence at this point seems to suggest a lot more people got it than we realized, without them even realizing it [1]. Any number of possible reasons. Unfortunately, between the tribalism, the outright coverups by the Chinese, and the "errors" if you are generous and "lies" if you are not in our own media, I don't expect to ever have a good grasp of what actually happened.
(Even so, purchasing supplies was the right move. Our local stores never really quite "ran out" of stuff for extended periods of time, but I was reasonably well prepared for what was certainly some supply chain disruption, and had a good practice run for some other real disaster in the future. Got a better idea of how to stock the food up in more effective ratios now.)
[1]: Possibly concerning, and I hope some follow-up study is done on this. Estimates of modern spread rates of disease based on COVID-19 could end up being really wrong if we underestimate how far it spread.
I'll never get an apology, of course. It'll just be the same old "not my fault, I formed my view based on the expert guidance of the time, what else could I have done?" Strong opinions, loosely held, indeed.
Towards the end of March I started to realise that I kept reading about the supposed impending ventilator shortage, but it should have happened already and yet we didn't seem to be ever quite running out. Then a newspaper published some article about the history of Professor Ferguson and his failed foot-and-mouth disease models. I went and read some papers about the failings of epidemiology and was really shocked at how divergent the views were on the utility of these models.
Then in the comments on that story, I found someone linking to https://swprs.org/a-swiss-doctor-on-covid-19/ which just had so much data, so many links to raw sources and interviews with skeptical doctors. At that point I started to realise that many of the comments I was reading here on HN appeared to be mixing up predictions with reality; I kept reading people here talk about how Italy was experiencing mass deaths and hospital overflow yet on the SWPRS site there were links to actual articles in Italian where hospital officials said they hadn't yet run out of capacity, they weren't yet turning people away, they were just worried it might start soon. And this kept happening. Moreover my attempts to point this out kept getting voted down, so that's when I realised it was going ideological. A lot of people were desperate to correct "misinformation" and were just getting angry at anything that contradicted the official narrative. There was no rational reason to vote down posts saying "actually the situation is better than you think" yet it was happening.
So I guess that's the point I became a serious lockdown skeptic. The disparity between what people consuming regular media believed vs what the raw (often non English) data was saying just became too wide. And after that I believe everyone has been catching up, especially now with this "protests against health policies are dangerous but protests against racism aren't" nonsense.
The critical information for me was data on hospitalization rates, along with some math on hospital capacity and exponential infection rates. Before, I'd looked at the death rate for 20-40 year olds of ~0.1% and figured it wasn't a big problem for me. Then I realized that the 20% "severe" cases out of Wuhan was actually the percentage that required hospitalization, not just the percentage that develop pneumonia (which is ~60% of symptomatic cases, ~30% of infections). And it doesn't vary by age range nearly as much as the death rate does: while only about 0.1% of 20-40 year olds die from COVID-19, 3-5% end up in the hospital, only about 4x lower than the ~20% of 65+ seniors that do. (These numbers already account for asymptomatic infections, which are about 50% of cases. The Wuhan numbers didn't, so halve them.) And the average hospital stay lasts for 3-5 weeks. With the doubling time of unchecked COVID-19, we could potentially end up with 150M infections during the time period of one hospitalization. 10% hospitalization rate over the whole population, and that's 15M hospitalizations, well over the number of hospital beds in the U.S.
If you gather data from a wide variety of sources instead of grabbing the latest headline, most of the relevant data hasn't actually changed all that much since February. Back then we were saying a roughly 2% CFR; now best estimates are a 1-1.25% IFR, which is completely consistent with that when you add the new information that 50% of infections are asymptomatic, which was discovered in late February. IFRs in situations where the whole population was tested (eg. South Korea, the Diamond Princess) were about 0.7-1.5%, depending on the age of the population. The age curve data from Wuhan has held up remarkably well across Europe and NYC. R0 and doubling time was pretty consistent across most temperate northern climates before the lockdowns (1.5-2.5 days in most of Europe and the U.S.). The progression of the virus when unchecked was also quite consistent between Wuhan, Italy, and NYC, as was the effect of the lockdown.
Just FYI, the CDC gives their best estimate at 0.26% IFR. (source: https://reason.com/2020/05/24/the-cdcs-new-best-estimate-imp... , note that 0.26% adds in the estimated 35% asymptomatic population)
I now suspect that ending lockdowns, temporarily banning just a couple of high risk activities such as conferences and clubbing, universal mask wearing, and extra protection in hospitals and long term care homes might be enough, at least until October (in the Northern hemisphere).
The most frustrating times are those moments when I fear I'll never root out all of my biases or tribalistic tendencies and become an enlightened human. But onward and upward, eh?
I continue to believe that it’s an extremely infectious RNA virus that will spread exponentially in situations where people are in close proximity or indoors without social distancing and masks. I think New Orleans, NYC, Lombardy, Wuhan, and the ongoing situation in Brazil are more than enough evidence for that. I also think the success of Europe and China in using social distancing plus test/trace/isolate to tamp down their epidemics is pretty solid evidence that this was the right strategy, and I’m incredibly disappointed that America was incapable of executing on it.
The question I think you’re asking is: given that we failed to take the right advice, have I given up on trying to make us take it? And the answer is: basically yes. I think we’ll have to let nature take its course and protect ourselves now.
This is a the very strongest mathematical case for pessimism that I can give. Any argument that "we should have been less cautious" is automatically bullshit.
I think I came around to a mental model of how to react fairly early on, though. The basic model was stay at home until either a vaccine arrives or until we have anti-viral treatments that reduce severity and improve outcomes. Neither has happened, so I'm in the same boat.
It's great - great - that the lockdown has reduced occurrences of it so much. And I recognize the argument that if we've tamped down on it enough, that it's safer to go out there. But... an x% less likelihood of catching it doesn't mean it will be x% less severe when you do catch it. I think that a lot of non-technical people are confused on that point.
And finally, even if we did have really good contact-tracing... that doesn't help you, it only helps your friends. There are still those two days when people are contagious without being symptomatic. That's just still reality, I don't see a way around that. A healthy people can die from interacting with a seemingly healthy person.
Besides, what happened to contact tracing anyway? I thought we were going to have this snazzy contact-tracing tech on our phones and watches by now, courtesy of Apple and Google. I'm sure our contact-tracing is still lousy overall. It's great we have more tests, but we're not at the point where we would have been able to stop February in its tracks.
So overall... yeah, I've changed my minds in ways, like recognizing that the probabilities are more on my side than they used to be, so I feel a little safer if I have to go to the doctor/dentist for non-COVID reasons. But other than that, it's still a super-contagious virus that has a decent chance of really screwing up your life even if you aren't 80+, so... I'm still in the "stay at home until treatment/virus improves" camp.
Something key about this statement: This was not what the public was initially told. We were told that the lockdown was to flatten the curve while testing was ramped up and to ensure that the rate of infection was slowed to prevent a spike from causing avoidable deaths due to an overwhelmed health care system. It wasn't sold as reduction of the area under the curve.
The narrative of staying locked down until a vaccine was developed didn't happen until after the lockdown became a political football. That was a ridiculous notion, based on the typical time to develop vaccines, especially since a coronavirus vaccine has never been developed before for SARs or any others.