SpurMeUp
Les Howe
The graphs you are talking about are the ones that compared deviation in death rate as a multiple of SD (standard deviation) per country aren't they?. You can't plot those two items on a single line.
As an example; Country A has an average of 1,000 deaths per month. In Jan it has 1,100 deaths and Feb, 900. Country A has an SD of 100.
Country B also has an average of 1,000 deaths per month. In Jan it has 1,200 deaths and Feb 800. Country B has an SD of 200.
Now, in March both countries have 1,400 deaths as they are both in a pandemic. The excess deaths in each country due to the pandemic are 400 (1,400 - mean of 1,000). But if you plot multiples of SD as a few publications recently have, Country A is running at 4SD and country B only at 2SD. Yet both have had the pandemic cause the same effect.
Disclaimer - in a single data point such as this, you have to consider variance, as there's not longer term trend to show if it's a spike on SD or VS SD. The charts published recently show a longer term trend so variance will be inherent.
You're overcomplicating something very simple. We know the average number of deaths in the UK for this time of year (and we can break it down for care homes too). Without flu doing the rounds the data on people passing away is relatively consistent year on year.
The simplest way to measure fatalities caused by the virus is to see how different our average figures are now. @Legohamster this will include any indirect deaths caused by covid. For example, people not attending hospitals and getting treatment for other conditions who die as a result. This may skew the data a tiny bit.
This is how we measure the impacts of flu as Mr @glasgowspur outlined, and it is the only effective way to measure nations death toll from this virus.