Thanks Joel. Might also want to look as dashboard hospital admissions for cardiovascular and stroke and heart failure 15-44 yos. Looks very bad. I'm sure this is a new addition to the datasets. https://scotland.shinyapps.io/phs-covid-wider-impact/
Joel have you seen any data on how many hospital inpatient deaths occured in Scotland and/or London in March-April 2020 comapred to the 5 year average?
Have you seen how many hospital inpatient deaths during that time frame were from individuals who came from care centers?
I have hospital data and nursing home data for the UK but looking for how many from nursing homes were transferred to hospitals and placed on mandated Covid protocols. I believe that number will be substantial.
Currently compiling such data for NYC and Lombardy region in N Italy. Looking to do so in more locations. The patterns are quite similar as the protocols were similar.
Super curious what NYC looks like we had such horrid policies w ventilators & stacking care homes to the raters w infected patients & dirtbag Cuomo giving them immunity for harms. Big time thanks for putting your skills and effort into that!
It would be helpful to have a corresponding data set, year by year, week by week, for each age group, of how many injections were given. Does that date set exist?
Thanks Joel. Might also want to look as dashboard hospital admissions for cardiovascular and stroke and heart failure 15-44 yos. Looks very bad. I'm sure this is a new addition to the datasets. https://scotland.shinyapps.io/phs-covid-wider-impact/
Joel have you seen any data on how many hospital inpatient deaths occured in Scotland and/or London in March-April 2020 comapred to the 5 year average?
Have you seen how many hospital inpatient deaths during that time frame were from individuals who came from care centers?
No. do you have the data?
I have hospital data and nursing home data for the UK but looking for how many from nursing homes were transferred to hospitals and placed on mandated Covid protocols. I believe that number will be substantial.
Currently compiling such data for NYC and Lombardy region in N Italy. Looking to do so in more locations. The patterns are quite similar as the protocols were similar.
Super curious what NYC looks like we had such horrid policies w ventilators & stacking care homes to the raters w infected patients & dirtbag Cuomo giving them immunity for harms. Big time thanks for putting your skills and effort into that!
Woo hoo! 🎉 Congratulations!
Thaaaank you :)
Are the 2023 numbers correct? Someone should be asking the author of that spreadsheet.
If so, they have struck a rich vein of Malthusian gold.
Boost up, and party on, sheep!
2923 will be subject to registration delays just like England I imagine.
Joel,
It would be helpful to have a corresponding data set, year by year, week by week, for each age group, of how many injections were given. Does that date set exist?
They have the latest "success rates" on the UK dashboard but don't publish the time series. Must exist though. https://coronavirus.data.gov.uk/details/vaccinations?areaType=nation&areaName=Scotland
Thank you Joel. Pretty raw but pikestaff plain just from a tiny phone screen squint. Barstewards.
Joel, in case you weren't aware of this: https://blog.ons.gov.uk/2023/02/10/how-do-we-measure-expected-and-excess-deaths/
"As well as these, we will be exploring alternative methods..."
Time for some number fudging. Fucking criminals.
Was this the final straw in Nicola’s resignation yesterday? Just a thought.
Thank you Joel for your relentless search for the truths.
Hello, Is there anything useful in the pdf that you would like to share?
I use the years 2015 to 2019 incl. to evaluate the seasonality.
No Baseline/Trend subtraction necessary.
Then I subtract the seasonality from the data in
several age-brackets to estimate the excess mortality.
Result:
the Midazolam-peak [a.k.a. euthanasia] in 2020 is extremely pronounced.
-------------Excess Mortality----------------------------------------------------
Age_Brack. 2020 2021 2022 2023[Jan. only]
--------------------------------------------------------------------------------------
[ 0-30] 57 21 -85 -14 [SeasonalDeaths= 767]
[30-60] 828 836 361 -15 [SeasonalDeaths= 6759]
[>60] 6498 4693 5389 531 [SeasonalDeaths= 50307]
[all] 7385 5551 5666 501 [SeasonalDeaths= 57833]
----------------------------------------------------------------------------------------
[>70] 5861 3911 4646 526 [SeasonalDeaths= 42620]
[>80] 3858 2114 2737 385 [SeasonalDeaths= 28821]
-----------------------------------------------------------------------------------------
Divide the Excess_Death (for 2020-2022) by SeasonalDeath to get the ExcessMortality in %.