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This data is BS.

Firstly, it's nonsense to take "average amount of deaths" over the past few years and extrapolate it to the current year without accounting for population growth changes, and rate of population growth acceleration.

Secondly, if you look at the "expected U.S. Death Rate" data[1], it shows that they expected U.S. death rates (per capita) to rapidly accelerate about 7 years ago, but the rate of deaths didn't really begin that acceleration cycle until ~2 years ago:

2017: 858.0 deaths per 100,000 predicted

2018: 868.5 deaths per 100,000 predicted

2019: 878.2 deaths per 100,000 predicted

2020: 888.0 deaths per 100,000 predicted

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2017: 731.9 actual deaths per 100,000 [2]

2018: 723.6 actual deaths per 100,000 [3]

2019: 867.8 actual deaths per 100,000 [4]

2020: Could be anywhere between 835-910 depending on the population data and total death numbers you use to calculate

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Not sure why people aren't dying as fast as they initially thought (probably modern medicine, etc), but that simply means there were more old people on the verge of dying coming into 2020. So even if 2020 shows a per-capita increase in deaths, it's to be expected.

[1] - https://www.macrotrends.net/countries/USA/united-states/deat... [2] - https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf [3] - https://www.kff.org/other/state-indicator/death-rate-per-100... [4] - https://www.cdc.gov/nchs/fastats/deaths.htm



The CDC has an "expected death" curve which reflects the time trend (which thus includes population growth and aging) and seasonality of death.

U.S. deaths this year are well above that curve: https://imgur.com/p4kBgXF

We are on track to have 3.2 million to 3.3 million deaths this year. That's a crude death rate of 970 to 1000 deaths per, well above the megatrends (U.N.) forecast of 888.


Did you look at the "Excess mortality using raw death counts" chart? It's very very clear that 2020 is a huge outlier. Is it possible some of their numbers are a bit off? Sure. But the size of the difference in 2020 dwarfs that.


I'm more inclined to believe the organisation literally called 'our world in data' as an authority for data research. Your analysis just seems incomplete and I highly doubt they would just leave something out or use bad data. Look at their formulas to get a better idea why.




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