Compare the rates of these diseases before the vaccines were rolled out and after. For example, compare 2019 data to 2021/22/23 data. This can include incidence, hospitalization, mortality, or whatever other statistics you'd like. This is why we've been so interested in figures from the life insurance industry which has not been politicized and is highly accurate because there's a lot of money riding on those payouts.
Compare the rates of these diseases in the population between those who are vaxxed and those who are not. This second analysis is important because it allows us to see if something other than the vaccine is causing the change. If the rates between these two groups are the same, but they're both higher than 2019 levels, then something other than the vax is driving mortality figures and we'd have to go back and look for a new threat.
There are two ways we can assess this:
Compare the rates of these diseases before the vaccines were rolled out and after. For example, compare 2019 data to 2021/22/23 data. This can include incidence, hospitalization, mortality, or whatever other statistics you'd like. This is why we've been so interested in figures from the life insurance industry which has not been politicized and is highly accurate because there's a lot of money riding on those payouts.
Compare the rates of these diseases in the population between those who are vaxxed and those who are not. This second analysis is important because it allows us to see if something other than the vaccine is causing the change. If the rates between these two groups are the same, but they're both higher than 2019 levels, then something other than the vax is driving mortality figures and we'd have to go back and look for a new threat.