Yup, you changed the scale, and dropped bad flu years of the 90s and before.
Indeed, that's what scales are for, to allow data to be correctly interpreted. For example if you had a graph showing the mass of the average banana and the mass of the average Toyota Hilux, but on a scale calibrated to the mass of the average neutron star, it would be very challenging to see that the truck and the banana are of different weights.
Similarly with the time scale, if you went back far enough, where antibiotics didn't exist and people regularly died of malnutrition and occasionally got eaten by wolves, you might be able to argue that Covid has actually decreased the all cause mortality. But that would be a ridiculous argument as you well know.
You do not dispute the headline surely? "<2% all-cause mortality every year including 2020"
Not at all. The important thing is not the absolute number, but the relative difference between years. Which you cannot see from your graph, because of your inappropriate scale.
Your graph is ALSO true, but masks the bigger truth: THIS virus is not of the same order as Spanish flu, or similar events since then
In fact, your selective, zoomed-in graph is a metaphor for the amplification of the serious illness endured by the 0.1% who have needed medical intervention and whose estates are portrayed as the inevitable expectation of the majority...which it is not.
In all nations, approx 2 out of a 1000 succumb. The 80-year view my graph offers of the ONS data is a truer reflection of the majority situation.
I'm making no comment about the clinical relevance of anything you showed in your graph, I'm simply commenting that your graph is misleading and badly presented.
Look, we clearly disagree about many aspects of Covid, but this is not about Covid as a disease at all. It is simply about your inability to accurately and honestly present data, to interpret it correctly and your constant endeavours to influence other peoples thinking based off of your own (often misguided) conclusions.
For any of the data in the link you provided to be accurately interpreted, it needs manipulation, such as for example (but I am no expert), say plotting a 5 year rolling average all cause mortality, displaying this over-laid on the current year on year mortality to allow realistic comparison in both relative death rates and their temporal relevance. Doing some statistical analysis would also be useful. But you haven't done that, you have presented a poorly formatted excel graph that is misleading and sloppy.
And I write this from my bench in an lung inflammation lab, where I'm getting increasingly frustrated with an experiment as I was hoping to go stalking tonight... fat chance. Hence the tone, sorry.
Anyway, I'm not getting into an argument about this. But occasionally I can't help but bite on some of your posts.