Aeon 的最新消息
@HFentonMudd Monoclonals are easier to evade because they rely on only one or two specific antibodies. That being said, it's the same principle. Vaccines work much less well against Omicron than pre-Omicron and possibly less well against recent sub variants.
@HFentonMudd 单克隆抗体更容易逃避,因为它们只依赖一两种特异性抗体。话虽这么说,但原理是一样的。与 pre-Omicron 相比,疫苗对 Omicron 的效果要差得多,并且对最近的子变种可能不太有效。
@DerekParady @_mbdr_ Some is (due to worker absences). There are other factors of course (Ukraine and others). I'm not sure the inflation is entirely a result of either the virus or the policy measures. You have 20+ years of easy money to account for as well.
@DerekParady @_mbdr_ 有些是(由于工人缺勤)。当然还有其他因素(乌克兰等)。我不确定通货膨胀是否完全是病毒或政策措施的结果。您也有 20 年的轻松资金需要考虑。
@AGoldsmithEsq @elonmusk @ianbremmer He did deny it. But that also doesn't mean Bremmer is wrong even if the denial is truthful. Elon might have lied to Bremmer about talking to Putin.
https://twitter.com/elonmusk/s...
@NorthmanTrader No, it is not. I have spoken to Putin only once and that was about 18 months ago. The subject matter was space.
发表时间:1年前 作者:Elon Musk @elonmusk@AGoldsmithEsq @elonmusk @ianbremmer 他确实否认了。但这也不意味着布雷默是错误的,即使否认是真实的。埃隆可能在与普京谈话的问题上对布雷默撒谎。
https://twitter.com/elonmusk/s...
@NorthmanTrader 不,不是。我只和普京谈过一次,那是大约 18 个月前。主题是空间。
@KawasakiKR11 @MyrneStol @akm5376 @sameo416 @_stah @Joseph_Browning @armand_kj Same bullshit cheerleading/minimizing was rampant from 'experts' in 2020-2021 when airlines were debating whether to keep middle seats open, something that actually does make a significant difference.
@KawasakiKR11 @MyrneStol @akm5376 @sameo416 @_stah @Joseph_Browning @armand_kj 2020-2021 年,当航空公司在讨论是否保持中间座位开放时,“专家”同样胡说八道啦啦队/最小化,这确实会产生重大影响。
@KawasakiKR11 @MyrneStol @akm5376 @sameo416 @_stah @Joseph_Browning @armand_kj Also fewer "airplanes have incredible ventilation, 20-30 ACH, one of the safest places! You don't need a mask!" 'experts' running interference (either deliberately or just bandwagoning) for the industry.
@KawasakiKR11 @MyrneStol @akm5376 @sameo416 @_stah @Joseph_Browning @armand_kj “飞机有令人难以置信的通风,20-30 ACH,这是最安全的地方之一!你不需要口罩!” “专家”对行业进行干扰(故意或只是跟风)。
@Ikat0 @JMFischer @DavidElfstrom @Poppendieck @BlueairUS I saw another one in the past few days that looked easier to construct. It used two pressembled 3-fan units and two filters, plus cardboard on the top and bottom. I can't find it now though. You'd still have to do a bit of wiring, but not much.
@Ikat0 @JMFischer @DavidElfstrom @Poppendieck @BlueairUS 我在过去几天看到另一个看起来更容易构建的。它使用了两个压制的 3 风扇单元和两个过滤器,以及顶部和底部的纸板。不过我现在找不到了。你仍然需要做一些接线,但不多。
@kknnaabb @_mbdr_ One such credible effort from before vaccines is here. It shows that policies did matter, a lot, but also other conditions (inequality, nursing home population, etc) also matter a lot. Cherry picking one state or another (or one pair) is misleading.
https://twitter.com/joe_sill/s...
Nobel Prize winner @MLevitt_NP2013 has asked for a variable which correlates above 0.5 with covid deaths. For U.S. state covid deaths, such a variable does exist. Before scrolling, take a second to see if you can guess...it's a hotly debated topic... 1\
https://twitter.com/MLevitt_NP...
@kknnaabb @_mbdr_ 疫苗出现之前的一项可信的努力就在这里。它表明政策确实很重要,但其他条件(不平等、疗养院人口等)也很重要。樱桃采摘一种或另一种(或一对)具有误导性。
https://twitter.com/joe_sill/s...
诺贝尔奖获得者@MLevitt\npu2013提出了一个变量,该变量高于0.5与covid死亡相关。对于美国各州的covid死亡,确实存在这样一个变量。在滚动之前,花点时间看看你是否能猜到…这是一个热议的话题。。。1\
https://twitter.com/MLevitt_NP...
@kknnaabb @_mbdr_ Vaccination rate is certainly one factor, but certainly not the only one, as varying numbers of people died in different places under different conditions before vaccines existed, with the same vaccine rate of course (zero).
@kknnaabb @_mbdr_ 疫苗接种率当然是一个因素,但肯定不是唯一的因素,因为在疫苗出现之前,不同地点在不同条件下死亡的人数不同,当然疫苗接种率相同(零)。
@kknnaabb @_mbdr_ Sorry, no. You can't just say "look at this state" to prove something, that's the point of Florida vs. Texas vs. Arizona vs. California. There are multiple factors and to understand then you have to try to tease them out with multivariable analysis.
@kknnaabb @_mbdr_ 对不起,不。你不能只说“看看这个州”来证明什么,这就是佛罗里达对德克萨斯对亚利桑那对加利福尼亚的意义所在。有多种因素,要了解,您必须尝试通过多变量分析来梳理它们。
@kknnaabb @_mbdr_ I don't believe some random site. The analysis might be correct, or might not, I have no idea how to verify it.
That being said, consider Texas or Arizona, which had very similar policies to Florida but much higher excess death. Why cherry pick Florida?
@kknnaabb @_mbdr_ 我不相信一些随机网站。分析可能正确,也可能不正确,我不知道如何验证它。
话虽如此,想想得克萨斯州或亚利桑那州,它们的政策与佛罗里达州非常相似,但超额死亡率要高得多。为什么樱桃采摘佛罗里达?