I don't see how it says that. The "not voting for Putin" category also includes people that didn't vote at all so it's hard to draw any conclusions from this.

I do not believe that. Fake.

check out table 5.7 on page 23 https://www.soa.org/4a368a/globalassets/assets/files/resources/research-report/2022/group-life-covid-19-mortality-03-2022-report.pdf

also the graphs on page 9 here https://www.soa.org/4a55a7/globalassets/assets/files/resources/research-report/2022/excess-death-us.pdf

Just different from normal anti vax talking points for you to disavow them, but similar enough for you to be utterly full of shit.

Are you seriously comparing the US to Africa? Just look at stats of mean age, obesity, climate, time spent outside, and those immunsystems hardend by things like malary...

If you can tell me what mechanism of the vaccine should cause this X years down line, I'm all ears. After a few weeks, there will be nothing left in your body to cause anything. That's why, for all vaccines and medication that is not consumed through years, side effects are commonly found quite close to taking them. Only viable situation would be taking your jab just a bit prior to your 60th birthday...

correlation is not causation sorry, Africa had minimal vaccination or masking and also low covid deaths

You realize that this is a problem that concerns quite a lot of areas when it comes to research in medicine where you can't simply conduct classical experiments? E.g. what would happen if Person X smokes vs. doesn't smoke, takes certain medication vs. don't, stays in his mouldy home vs. moves out, etc. Things where you would put people's lives at risk if you withhold treatment or activly damage them like with taking drugs/smoking, etc. You get the gist.

For this reason, researchers developed sophisticated, statistical methods to get a grip on this. E.g. Rubins Potential Outcomes Framework, Causal Mediation Analysis, etc. Using, for example, prior information or trying to find someone who is as equivalent as possible to Person X in all relevant traits (e.g., age, gender, fitness, social background, etc.) aside from smoking to draw inferences from there. Honestly, there are multiple approaches there.

So, long story short, estimates are not drawn from thin air. They are a product of scientific rigour, commonly used in practical all empirical fields in science (from intelligence tests or personality assessments to climate science or partical physics), and because of this they can be surprisingly accurate. Especially as most of them also have information on uncertainty related to them (e.g. standard errors, confidence or credible intervals, etc.)

The vaccine prevented serious hospitalization and/or death. New Zealand handled that vax advantage with proper masks correctly, and to date has only 2437 covid deaths! (US has 1,111,004 covid deaths.)

The last ones regarding the excess death numbers of youths

which ones are you disputing, all of them?

I think you are misreading the chart

The estimate is not based on nothing, it’s a model put together by scientists based on a peer reviewed methodology according to the article

Source on those claims?

They estimate the number by looking at the death rate in those who don’t take the vaccination vs those that do. They then extrapolate by calculating the number of people who would have died if nobody took the vaccine.

There is some other stuff around transmission but they aren’t just plucking the figures out of thin air.

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YEah sure. no excess mortality in 2020 . But a LOT of it since june 2021. Wonder why?

This is a prime example of how misinformation spreads.

what's missing from this conversation as per usual is the discussion of widely disparate covid risks among various groups

when combined with the fact that it was made public in August of 2021 (when delta became prevalent) that the vaccine no longer prevented infection, and soon after that it was seen that the partial protection waned quickly, yet the vaccine was still mandated to young healthy groups who had practically no risk from covid, and for children had greater risk from the vax side effects than from covid. as a result, the excess death data from actuaries shows a huge spike at over 200% in excess deaths among young people in fall of 2021 right when the mandates came out compared to elevated background excess deaths of around 130% at the time.

That’s interesting. I don’t know anything about Argentinian politics or society, and my understanding of American politics comes solely through international media(not very reliable). I was just referencing an example to explain my point. I could have said country A and country B. My point was just that the measuring of polarisation is very poor and the alternatives are not complicated and are well known. I really don’t understand why they decided to measure it by asking a single question.

Yes, but im familiar with the divisions of the two countries and for me the argentinian division is 10x worst than the american one, in america democrats and republicans both have the same work ethic and aproach to life, they just differ in things like guns, healthcare, drugs and those things.

Here in Argentina literally the two visions of half of the population are 100% opposite even in things like work ethic and how to progress in life. One side wants to do drugs, steal and free recieve money from the state without working and the other wants to study an progress.

I know people like that. Being at least somewhat polite to them is extremely challenging.

La grieta explained to everyone that is not from Argentina here:

Half of the country wants to work their asses off to progress in life and to work out thing and the other half of the country just wants to do drugs, steal and vote for populism in order to obtain benefits and to recieve social pensions from the state without working.

From the BMJ "A large US study published by The BMJ today finds that fewer people die from covid-19 in better vaccinated communities. 

The findings, based on data across 2,558 counties in 48 US states, show that counties with high vaccine coverage had a more than 80% reduction in death rates compared with largely unvaccinated counties."

It's referring specifically to a time when there was a vaccine, comparing to if there wasn't. The graph basically starts around where the vaccine was introduced. People died before and after the vaccine.