Im not sure what you ae looking at, im referring to where he draws his own lines to re-inforces his assertion that 80% of admissions are incindental, its not data its an invention, his guess which turned out to be bollox
Before judging the line he draws it is necessary to understand what the graph he draws it onto the end of is actually showing, since its quite different to the other graphs we see on this subject.
Happily I have been able to reproduce the figures he used for the final part of that graph, and can now properly expose the exact nature of the bollocks of the future projection he drew onto the end of it. And it is indeed total bollocks of the worst sort!
The big flaw in what he did comes down to the nature of what was happening in the final week on the graph. The 21st December was a time where the number of covid patients in hospital beds only rose by 259 compared to the figures a week earlier on the 14th. And so when he digs into the NHS data about 'with' and 'for', he see's that of that 259 increase in patients in hospital beds, the number being treated primarily for covid has only increased by 45 from a week earlier, and the 'incidental' number has increased by 214. When plotted as proportions, this gives a nice low value for the proportion of the increase that were down to people whose covid infection had landed them in hospital in the first place. And this serves his purpose, so he makes a big deal of it.
However the next weeks data is now available, so I can repeat the exercise and see what actually happened next
And it is a very different week, with very different dynamics in effect. The week he focussed on would be a bit early to show a lot of people getting seriously ill via the rise in cases in this new Omicron wave, but did have the right timing to show an increase in other patients happening to catch covid incidentally in this wave. By the next week this is no longer the case, far more serious illness incidents have had time to emerge, and so when I crunch the numbers his hugely incorrect assumption about the future is completely exposed:
Increase in people in hospital in England with covid on 28th December compared to 21st December:
8321-6245 = 2076
Incidental covid increase in the same period:
2743-1813 = 930
Primarily treated for covid increase in the same period:
5578-4432 = 1146
Oh fucking dear! So if I stuck this on his graph, the line would shoot back up to over 50%. Lets see if he ever bothers to revisit this now that the latest data shows how wrong he was, and does not show something that serves his wider narrative.
Source of raw data used to do this is
Primary Diagnosis Supplement 31 December 2021 (XLSX, 22KB)