1,520 karma · joined May 2, 2017
One factor could be the nature of transmission. Regions where transmission occurs with high viral loads entering at the point of infection (for example, hospital-acquired infections) could see more severe disease progression. You would therefore expect a high hospitalization rate relative to prevalence. It's possible in other regions, including CA, hospitalization rate as a function of prevalence is lower because acquisition is largely at lower viral loads resulting in less rapid and severe disease progression. This is, of course, a hypothesis and very likely not correct. Time will tell.
Other important factors include age distribution of infection, as well as weather conditions and prevalence of pre-existing conditions.
Population is supposed to be representative of LA county. Tests are from Premier Biotech with some preliminary data on false negative/ false positive rates shown. I suspect assumptions related to the test itself, rather than population, may be a bigger factor for any inaccuracies. There's also the question of whether antibody response implies immunity for SARS-COV2
Another interesting aspect of the result was 6% of men showed antibodies but only 2% of women tested.
Also: --2.4% of people between the ages of 18 and 34 had antibodies to the coronavirus --5.6% of people between 35 and 54 had antibodies --4.3% of between 55 and older had antibodies
Edit: The key assumption that really, really needs to be triply checked here is the specificity of the test. They're assuming 99.5%, similar to the Stanford study I believe. If it's closer to 98% then prevalence estimate confidence intervals should include 0%, I believe. Also should be noted that the same PI on the Stanford study, Jay Bhattacharya, is also involved in this. Same criticisms likely apply here - more caution needed!
Second edit: On further reflection, I think these studies could do serious damage based on how the results are being announced by press-release - in this case, afaik there's no pre-print. In our current environment this isn't just science. Policy is being enacted and people may die because of poorly framing results. Everyone involved needs to take a step back and think through this carefully. Also - did anyone figure out why a hedge fund guy was an author on the Stanford pre-print? And why that same guy then published a Wall Street Journal op-ed about the study without identifying himself as a co-author? Shady stuff.
Here we go...
The CDC site shows only 8 more tests having happened in the last few days (aka: preposterously low!). We're really flying blind until we have more data and testing. When the history of this epidemic in the US is written, it will be noted that the entire month of February was wasted diagnostically and critical opportunities to still attempt containment lost.
https://www.politico.com/news/2020/02/20/cdc-coronavirus-116...
For example, if you're a doctor with a case of atypical pneumonia, there's no way to actually test a patient for it unless there's clear China (possibly Hubei!) travel history. And that could take 3-7 days. However, consider the Canadian ER doctor who a few days ago decided to ask for a test for a woman who had traveled back from Iran recently - turned out she had it, and it revealed to us unexpected, but very real vectors of transmission.
These technical issues have to be solved, otherwise there's no way to distinguish this from regular seasonal flu cases and pneumonias, until - like in Wuhan - the atypical cases bubble up. At that point, it's really too late to do much containment.
A lot of interesting ideas get shot down quickly, which is not necessarily a bad thing.. but I'm not sure what the false positive vs. false negative rate is in this process. But for those ideas that develop, it seems like perfectly solid technologies that could form the premise of an interesting startup don't get out the door because they don't meet an internal bar of "worthiness". Maybe let the market and external funders decide that?
Their internal process is not intrinsically good or bad, but what's unfortunate is that they don't really publish. I know they're not looking to be Bell Labs, but if they think a lot of these ideas aren't going to pan out, but many person-years of research effort goes in, they really should share the learnings and lessons as opposed to locking it up internally. When these projects don't pass their internal bar for being commercially viable (which seems rather disconnected from what that bar would be if the idea/ tech stood on its own outside), it's basically like academic research. Truly is a shame that a lot of smart people working on interesting non-commercializable ideas don't get to share that. Others might pick up on it, if not now.. maybe a decade or two down the road.
‘Around 2007 I attended a dinner at @Harvard during which someone told me about a professor who was flying to New York, and to some island, to visit a millionaire. With that millionaire, I was told, he was raping girls. "Everybody knows" they said..‘ https://twitter.com/lpachter/status/1163608101443928064?s=21
It’s also depressing how all these prominent men (and yes, it’s all men because Epstein didn’t like having women around for their intellects, and because they may have figured out something was amiss) never questioned any of this, because Epstein was rich.
Sure, defining harm is not straightforward. But it's possible, and frankly as a private platform, it is their choice.
One could, for example, take a broader definition of harm, and use that to limit recommendations, but still host the video and allow it to return in search results. Is this the right answer? I don't know. But it's silly to just throw up your hands and somehow take recommendations as some sacrosanct part of the system, when it was clearly a choice to have them to begin with.
Regarding kids, this has been very well documented: https://www.ted.com/talks/james_bridle_the_nightmare_videos_...
https://medium.com/@jamesbridle/something-is-wrong-on-the-in...
There's no law that says they have to recommend videos. There is however sufficient evidence at this time around the rabbit-hole effect causing real-world harm. This isn't 2005. It's about time Youtube, and social media properties adopt the medical principle: "first, do no harm". Perhaps they will do this willingly, but somehow I doubt it.
To wit: https://www.bellingcat.com/news/americas/2018/10/11/memes-in...
"McKinsey says it has no knowledge of any collusion between China and Mr. Najib. It said that of course it would discuss China’s sweeping Belt and Road plans but rejected the notion that, by representing both sides involved in the project, the company had a conflict of interest in any way."
As with Silicon Valley, their model requires recruiting reasonably talented and intelligent people on a regular basis. I suspect that, if anything, may be the most at risk from the behavior these articles are highlighting.
Silicon Valley has always been different from the rest of the U.S. The "H.P. way" was in its time a radical and progressive thing.
Look, if you're going to speak at the RNC and actively support Trump, you will be on the opposite side of a super-majority of college-educated people in this country at this point. And definitely a large super-majority of people under 35, women, Asian Americans, Latinos and African Americans. So if you're surrounded by such people, and are loudly promoting such views, don't expect your interlocutors to not criticize them, or necessarily want to hear them ad nauseum.
The evidence however suggests that Mr. Thiel is certainly being given PLENTY of platforms to continue expressing his viewpoints in a respectful manner in front of influential crowds of people, including students. Who is pushing this whole narrative?
A related read that I found quite illuminating: http://www.minnesotalawreview.org/wp-content/uploads/2017/05...
(I run in fairly left-leaning liberal circles and you know what I hear about? NOT actually being PC (whatever that is -- define it, I dare you) but people complaining about something being PC. This has been going on since the year 2000 so much that I'm pretty sure jokes about something being PC are PC, while actually being PC is not PC..)
Even if the experience is fantastic, the product flawless, the content engaging -- none of that means that there'll be product/market fit. Iterations will likely be needed. I'll be delighted if it's a big success, and hey it's not my money. But, the systemic signaling (and actual) risk posed by a potential Magic Leap failure on the larger AR/VR community is being sorely underestimated by everyone. And that is worrisome.