Aeon 的最新消息
@LongDesertTrain @nasirfmusiqi It's interesting, and as an anecdote, I have no idea how colds actually spread. I got one midway through two week strict quarantine in 2020. No human contact at all.
@LongDesertTrain@nasirfmusiqi这很有趣,作为一个轶事,我不知道感冒实际上是如何传播的。2020年,我在两周严格隔离的中途得到了一个。根本没有人类接触。
@StanphylCap @JeromeAdamsMD Agreeing with the doctor's comment about Porsche base prices being particularly deceptive. Among the worst in the industry, but most Porsche buyers know this so not really fooling anyone in practice.
@StanphylCap@JeromeAdamsMD同意医生关于保时捷基本价格特别具有欺骗性的评论。这是业内最糟糕的,但大多数保时捷买家都知道这一点,所以在实践中并没有真正欺骗任何人。
@StanphylCap @JeromeAdamsMD I was speaking more in general, i.e. over years/decades. Few ever order a base Porsche, and few show up on the lot on their own. Porsche and options are almost synonymous.
@StanphylCap@JeromeAdamsMD我说的更多的是一般性的,即多年/几十年。很少有人会订购一辆普通保时捷,也很少有人会独自出现在停车场上。保时捷和选装件几乎是同义词。
@nasirfmusiqi @LongDesertTrain This doesn't in any way demonstrate viral interference. Covid cases up -> caution up, masks up, etc. You can see this in mask surveys, lower restaurant seating, lower transit usage, etc. Probably drives rhino down. COULD still be viral interference, but not shown at all.
@nasirfmusiqi@LongDesertTrain这并不能证明病毒的干扰。新冠肺炎病例上升->;小心点,戴上口罩,等等。你可以在口罩调查中看到这一点,较低的餐厅座位,较低的交通使用率,等等。这可能会让犀牛倒下。可能仍然是病毒干扰,但根本没有显示。
@Michigan_Noah @angie_rasmussen This is false. Party affiliation is the biggest factor by far. Most of the others have further narrowed over time, like even since this report
https://twitter.com/AeonCoin/s...
@angie_rasmussen KFF:
https://www.kff.org/coronaviru... https://t.co/MCjLVrsVZr
@密歇根·诺亚·安吉·拉斯穆森这是假的。党派关系是迄今为止最大的因素。随着时间的推移,其他大多数的范围都进一步缩小了,比如自本报告发布以来
https://twitter.com/AeonCoin/s...
@angie_rasmussen KFF:
https://www.kff.org/coronaviru...对不起,对不起。https://t.co/MCjLVrsVZr
@angie_rasmussen KFF:
https://www.kff.org/coronaviru... https://t.co/MCjLVrsVZr
@angie_rasmussen KFF:
https://www.kff.org/coronaviru...对不起,对不起。https://t.co/MCjLVrsVZr
@finbarvano @AbraarKaran Right, it's 15% in California and 20% in Florida, so that alone is enough to account for most of the difference in deaths. There MAY be other factors, but you can't conclusively pin it on any one difference without more a lot more analysis.
@finbarvano@AbraarKaran对,加利福尼亚州和佛罗里达州的死亡率分别为15%和20%,仅此一项就足以解释死亡人数的大部分差异。可能还有其他因素,但如果不进行更多的分析,你就无法将其归结于任何一种差异。