@Sling35419208 @zorinaq That's not what this means. It means there are 13% more obese people in the "fatter" state. Which is to say even "low obesity" states still have a LOT of obesity compared to low obesity countries.

@Sling35419208@zorinaq这不是什么意思。这意味着在“更胖”的州，肥胖的人要多出13%。也就是说，与低肥胖症国家相比，即使是“低肥胖症”国家也有很多肥胖症。

@Sling35419208 @zorinaq Take the lower bound of age vs. higher bound of obesity if you like. Still age is a MUCH bigger factor.

@Sling35419208@zorinaq如果你愿意的话，选择年龄下限和肥胖上限。但年龄是一个更大的因素。

@Sling35419208 @zorinaq It's a contributor but FAR less than age and at the population level, not so much. 16% difference in obesity at population level means risk difference is only 1/6 of what it is for an obese vs. non-obese individual. i.e. small.

@Sling35419208@zorinaq这是一个贡献者，但远低于年龄和人口水平，不太多。16%的人群肥胖率差异意味着肥胖者和非肥胖者的风险差异仅为前者的1/6。i、 e.小。

@ces921 @jturek18 These two 2 years, it's just pricing in more fed increases.

@ces921@jturek18这两年，它只是在为美联储更多的加息定价。

@SergioMoxika @hjelle_brian SOME wear low quality masks SOME of the time and the net result is still SOME reduction in transmission (which, on the back side of a surge means a faster decline). Loosening up in various ways is why declines from surge often slow or stall, nothing about the virus changes.

@SergioMoxika@hjelle_brian一些人有时戴着低质量的口罩，其最终结果仍然是传播减少了一些（这在激增的背面意味着更快的下降）。以各种方式放松，这就是为什么从激增开始的下降往往缓慢或停滞，而与病毒变化无关。

@Sling35419208 @zorinaq Considering only large countries, US obesity rate is 36%, India 4% (12x or +32%). But for states, the range is only 40% Mississippi down to 24% Colorado (1.6x or +16%).

@Sling35419208@zorinaq仅考虑大国，美国肥胖率为36%，印度为4%（12倍或+32%）。但对于各州来说，这个范围只有密西西比州的40%到科罗拉多州的24%（1.6倍或+16%）。

@Sling35419208 @zorinaq Difference between states may be even smaller than that, because the spread in obesity rates is much narrower.

@Sling35419208@zorinaq各州之间的差异可能甚至更小，因为肥胖率的传播要小得多。

@Sling35419208 @zorinaq This paper estimates the effect on fatality rate of BMI differences between countries at 1%. Age differences are the main factor (47%).
https://www.thelancet.com/jour...

@Sling35419208@zorinaq本文估计了国家间BMI差异对死亡率的影响为1%。年龄差异是主要因素（47%）。
https://www.thelancet.com/jour...

@perdidostschool @Nate_Cohn Not if you measure according to volume of insults.

@如果你根据侮辱的程度来衡量的话，那就不是佩尔迪奥斯特学校@Nate_Cohn。

@jklmd123 @Yascha_Mounk Only thing that is closed is businesses where there are too many people out sick to keep it open.

@jklmd123@Yascha_-Mounk唯一被关闭的是有太多生病的人无法继续营业的企业。

@simulx @AShihipar Many fold reduction in severe outcomes is the point. There are many unvaccinated dead people in the past month (+thousands/day), moderate number vaccinated, hardly any boosted.

@simulx@Ashipar严重后果的降低是关键。在过去的一个月里，有许多未接种疫苗的死亡人数（+千人/天），接种疫苗的人数适中，几乎没有增加。

@andyaschmidt @MelpomeneMel @MeKathleen @jklmd123 @denise_dewald It tripled in fraction but cases halved so R=1.5, which is not low at all. That's higher than most previous surges must places (Omicron peaked higher).

@而Yaschmidt@MelpomeneMel@MeKathleen@jklmd123@denise_-dewald在分数上增加了三倍，但病例数减少了一半，因此R=1.5，这一点都不低。这比之前的大多数激增都要高（Omicron的峰值更高）。

@Sling35419208 @zorinaq https://twitter.com/AeonCoin/s...

@Sling35419208@zorinaqhttps://twitter.com/AeonCoin/s...

@Sling35419208 @zorinaq Also, vaccine uptake certainly matters, but a lot of deaths were pre-vaccines (or during early uptake). /end

@Sling35419208@zorinaq同样，疫苗接种当然很重要，但很多死亡是疫苗接种前（或接种早期）死亡/终止

@Sling35419208 @zorinaq Obesity rates are significantly overrated in importance. In addition to obesity only being a moderate risk increaser (compared to age), obesity rates only differ only incrementally. Vermont 26%, Alabama 39% = 13% difference. Works out to be a small factor. 1/

@Sling35419208@zorinaq肥胖率的重要性被严重高估。除了肥胖只是一个中度风险增加者（与年龄相比），肥胖率也只是在逐渐增加。佛蒙特州26%，阿拉巴马州39%=13%的差异。这算是个小因素。1/

@maskupmelb @gardengirl778 @RonRRossi @j_g_allen @olgakhazan Not offhand but I'll look for it.

@maskupmelb@gardengirl778@RonRRossi@j_g_allen@olgakhazan不是随便找的，但我会找的。

@wsbgnl That's a "baseline", assuming no future surges or variants (fat chance!).
It means, even at 200k, years of reduced life expectancy.
https://twitter.com/ASlavitt/s...

@wsbgnl这是一个“基线”，假设未来不会出现激增或变异（可能性很小！）。
这意味着，即使是20万人，预期寿命也会缩短。
https://twitter.com/ASlavitt/s...

@killlerbae @BarbLarochelle @RonChrist1954 👏👏👏
🥣🧑‍🍳🥘🥡

@Killerbae@BarbLarochelle@Roncrist1954👏👏👏
🥣🧑‍🍳🥘🥡

@Drzgoo @danaparish @Bob_Wachter Most transmission happens in the first few days. Low difference, and since there are more vaccinated people, plenty fo the spread is coming from vaccinated, probably majority of it.

@Drzgoo@danaparish@Bob_Wachter大多数传播发生在最初几天。差别很小，而且由于接种疫苗的人更多，大量的传播来自接种疫苗的人，可能是大部分。

@cjcfreedom @hamstercheese7 @ASlavitt 😂🛸

@cjcfreedom@hamstercheese7@ASlavitt😂128760?