Brilliant. I never picked up the dose categorization error. One error was enough for me. The reason I asked about code for the github program for working out excess deaths, is because if you open the code you see a variable called 'excess deaths' . I'm not sure if that's a misleading name by the MOH, if they even wrote the code, because …
Brilliant. I never picked up the dose categorization error. One error was enough for me. The reason I asked about code for the github program for working out excess deaths, is because if you open the code you see a variable called 'excess deaths' . I'm not sure if that's a misleading name by the MOH, if they even wrote the code, because Stats NZ never agreed on a way to calculate excess deaths. The government Muppets just referred to OWID, which was flawed.
Good job on calculating excess deaths 2022-2023. If I'd admit exactly the same method, but I used 5-year buckets, not single years because STATS NZ report those figures for population and death rates. I applied my trend line to 2011-2019 data only, because I've been using aggregated weekly deaths for that period to compare with current deaths and that's all that was available until a few months ago, when suddenly weekly deaths back to 2000 appeared. I'll share with you some of my extrapolated death rates for the 2020-2923 period so we can compare and see why I got 4000+ excess deaths. I use Libre Office. I don't know R language.
Brilliant. I never picked up the dose categorization error. One error was enough for me. The reason I asked about code for the github program for working out excess deaths, is because if you open the code you see a variable called 'excess deaths' . I'm not sure if that's a misleading name by the MOH, if they even wrote the code, because Stats NZ never agreed on a way to calculate excess deaths. The government Muppets just referred to OWID, which was flawed.
Good job on calculating excess deaths 2022-2023. If I'd admit exactly the same method, but I used 5-year buckets, not single years because STATS NZ report those figures for population and death rates. I applied my trend line to 2011-2019 data only, because I've been using aggregated weekly deaths for that period to compare with current deaths and that's all that was available until a few months ago, when suddenly weekly deaths back to 2000 appeared. I'll share with you some of my extrapolated death rates for the 2020-2923 period so we can compare and see why I got 4000+ excess deaths. I use Libre Office. I don't know R language.