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2/ The reason for this decline is neither C19 nor vaccine related. Analysing mortality by cause (see older tweets) in the <65 group shows the damage from panic and prolonged shut downs. Minorities of course suffered most as seen in the life expectancy.
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3/ This is how Dr. Fauci is saving lives while gaslighting Sweden, Nobel prize winners and everyone who dares to point out the failed policies. Many seem to be triggered while seeing the results as clearly and double down of the Sweden failed framing.
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1/ What do you do, to distract from the "DEVASTATING" outcome in US? Push #nocovid propaganda into “Humanities & Social Sciences Communications” and communicate: "Sweden officials are a COVID deniers and failed." Reality: SWE mortality looks like if Covid wasn't there. twitter.com/DrEricDing/sta…
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4/ We also see this in Europe. The age standardised mortality is directly related to life expectancy. And this is how it looks like. The stringed countries are doing worst, the open ones doing best. The opposite of the hypothesis which was: complete collapse without lockdowns.
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5/ A more detailed view on US can be found here. If we analysed this by ethnicity and cause (homicide, obesity, drugs, alcohol,..), it would expose how DNC "equity" looks like in reality. twitter.com/digregjf/statu twitter.com/digregjf/statu
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Replying to @orwell2022
Here are the same 6 states showing 2021 % increase along with 2020 % increase (same y-axis scale).
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6/ Example California. I wonder when people will realize that DNC is not doing them well and how superior the slim but efficient healthcare is in NL (also no excess whatsoever below 65), SWE... And no, neither SWE nor NL are "socialists" (not even close), in contrary.
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8/ Adding more countries. USA should be analysed by state (like Europe). It's too diverse to aggregate. NZ: They indeed managed to an isolation strategy. But continental countries who tried a remote island strategy with a zoonotic respiratory virus were fools.
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10/ Addressing the NZ stringency questions. cc. Top : is the stringency by day (NZ highlighted). Line/colour by country. Bottom : cumulative stringency (what is used to in the correlation plots). Line by country, colour by life expectancy lost / gained.
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11/ Same as above without highlighting NZ. Top : is the stringency by day. Line/colour by country. Bottom : cumulative stringency. Line by country, colour by life expectancy lost / gained.
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Replying to
13/ A typical remark is: countries were stringent because of Covid. No. Here we have cumulated pandemic stringency (x) versus total cases per million (y). Colour by life expectancy lost / gained versus 2019.
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This is great thanks - I missed this interview in 2020. Will be watching the whole thing later today. In the bits I just saw Jay was so open and honest about the lack of certainty at that time, while also being crystal clear that lockdowns could never be a sustainable solution.
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