The OWID website is one of the worst. After almost a 2 years, there still aren't any age de-confounded ASMR, and the coverage time series only include misleading aggregated figures. OWID delivers one Simpson's paradox after another.
2/ Here some input for @redouad. OWID likes to fear porn with unadjusted death figures. Even better with cumulated "total deaths" (sounds scary right?) over several years.
8/ For the "Our Age Confounded Useless Data" at OWID "experts".
I here explain what is really going on without using age confounded "sum of all deaths".
9/ Doing this by flu season (July-June) instead of calendar year (which you are doing) we get an even clearer picture.
The eternal lockdowns aren't that healthy at the end, or are they?
Can you see how lockdowns saved lives. "Our Age Confounded Useless Data" OWID is co-responsible for fuelling this lockdown mass hysteria. Is it the flavour of your money source? Gates and WHO?
Vaccine or obesity? What do you think fits better.
15/ Now ASMR for more countries with 2021 included. The grey countries have no data yet in ec.europa.eu/eurostat/datab… up to week 47, therefore not shown.
Orwell2022 age de-confounded data
...or...
@redouad "Our Age Confounded Useless Data" (OWID).
What is better?
16/ Why is OWID doing this? They seem to have more urgent issues like the use of political correct(?) "colour blind" colour codes.
I recommend the comments section where @redouad engaged (showing his irritation):
1/ The main stream media @TheEconomist and also @OurWorldInData continue their "Our Age Confounded Useless Data" game combined with excess metrics which mislead.
2/ I don't have 26M followers @TheEconomist, but I do know that using Age Standardized Mortality Rates is the only meaningful metric unless you want to show that Nigeria with a low excess is better than living in Italy (life expectancy 82 years).
But here an example: Denmark
3/ The @TheEconomist is here suggesting that Denmark with an 46 week ASMR 2021 of 8.48 is better than Norway at 6.66.
30% higher ASMR is a bad.
Having a lot of deaths at a stable baseline is better than having variance at ultra low baselines?
1/ NL, AUT, SWE, NO, CH age adjusted mortality update.
I have added data up to week 47 now (28th November).
Left column: crude mortality (normalized to total population).
Right column: ASMR using NL2011 std. population.
AUT and NL go up, not NO, CH, SWE.
2/ The mortality increase in NL and AUT is not related to vaxx. The vaxx is at the same time not visible as lifesaving in all cause as C19 is not the driving parameter, neither is the vaxx.
We likely see the price to pay for permanent lockdowns, social isolation, fear, etc.
3/ Let's dig deeper than AMSR: now we plot mortality by age bin population. This is more precise in order to understand what is going on.
No surprise, the old are dying. Do people not know this? And are we now "bin counting" 90+ people to make lockdown panic? Stop this please.
Note that we have one month different season definitions. Small detail. I used 1st September as it seems to be the historical death minimum over years and countries.
3/ Now let's play. More countries.
And here we start to see interesting things like the disastrous performance of AUT, CH, FR on 20/21 season. Surprised me
We learn: locking down in 19/20 season makes 20/21 explode.