͏@VoidSurf1 wrote a cool thread on Sweden excess deaths over the last few centuries. At first sight, his analysis seems correct... But there is a fatal flaw.
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This chart (red annotations are mine) shows excess mortality per year, while ignoring months with below-average mortality. So this shows excess death events that lasted less than a year.
For starters, this shows COVID-19 caused the highest excess mortality since World War 2
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But check out the Y axis... Why does it show only about 600 excess deaths for the period Jun 2019-Jul 2020?
(The title shows Jul-Jun instead of Jun-Jul... probably an error)
We saw above the month of April alone had 2000 excess deaths. So why does the chart show 600?
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This is an error in @VoidSurf1's analysis. His chart appears to fail to ignore months with negative mortality. Therefore COVID excess deaths after March 2020 are hidden, negated by the unusually low mortality of Winter 2019-2020:
COVID deaths & hospitalizations always lag cases. The lag has been demonstrated, is often 𝗺𝗼𝗿𝗲 than a month, and its timing can be predicted accurately (I have done it.) The #casedemic folks are just, well, wrong.
A thread explaining the lag with real-world examples.
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I will show what causes the lag, and how I can predict it accurately. First, there are multiple causes behind it:
It applies various age-stratified IFR estimates to calculate the expected overall IFR in a given country. It's based on demographics (countries population pyramids): github.com/mbevand/covid1…
Many interesting findings—read on
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First off, I use five different sources estimating the age-stratified Infection Fatality Ratio of COVID-19:
1. ENE-COVID 2. US CDC 3. Verity et al. 4. Levin et al. 5. Gudbjartsson et al.
If you know of more sources, let me know and I'll add them to my script
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So, what do we find?
The overall IFR estimates, with the exception of Levin et al., are relatively consistent with each other, usually within 30-40%. Levin et al. is up to 2-fold higher than the others, depending on the country.
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Eg. people often incorrectly quote the abstract of thelancet.com/journals/eclin… but the authors write the results are in fact inconclusive. See my comment at
«A US resident in a Long-Term Care Facility (LTCF) has a median length of stay (LOS) of 5 months until death, so if they die of COVID-19 it's no big deal»
It's false.
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First the definition of LTCF varies by state, but usually is "nursing facilities, assisted living facilities, adult care centers, intermediate care facilities, and/or other long-term care facilities", see kff.org/health-costs/i… (in Notes under Additional State-level Data)
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