ONS Vaccination Deaths Analysis (part 2)
Another poke at the vital dataset that should be error-free but is not
In part 1 of this series I derived crude mortality for the vaccinated and unvaccinated sub-populations of England over the period Jan 2021 – Dec 2022 using data from table 1 of the file of files.
This slide was a bit of a shocker and many Twitterlanders decided to ignore what I’d written. Here are some cautionary words again:
A quick reminder that what we are looking at in this final slide is crude mortality and crude mortality (deaths per 100,000 population) doesn’t take account of important confounding factors like age and health status.
We see a difference and that difference may be due to vaccine harm and it may not.
So what we need to do next is consider age standardisation, there being a number of ways we can go about this.
The simplest method is not to standardise at all but to look at what is happening within age groups. The ONS, in their wisdom, decided to provide counts for the 18 – 39, 40 – 49, 50 -59, 60 -69, 70 -79 and +80 year groupings.
This is a start but the 18 – 39y group is rather coarse and we don’t know anything about deaths in teenagers, kids and nippers despite the vaccine being authorised for use on souls as young as 5 years.
A slight oversight there methinks, and it has got to the sorry state that I wonder what they’re hiding on behalf of the State.
The Closet
While you are at it take a peek at data note 17. It sure looks to me like they excluded a whole bunch of people who died shortly after vaccination of which they managed to link only 1,029.
So how many others did they leave out who were not linked?
We don’t know, and neither does the head ONS honcho who is waiting for that number from her team.
Thankfully there are stalwarts like Josh Guetzkow on the case and I recommend you follow him on Twitter.
But there’s more…
What Population Is That, Then?
It transpires that the ONS have been using a population cohort that has been falling way short of the mark for both releases of this vital mortality dataset, with significant underestimation of the unvaccinated sub-population.
Joel Smalley has commented wisely on this below, pointing out that the ONS database is a specialised subset and not truly representative of the entire nation.
This fact alone means the latest results cannot be extrapolated to the national level but, of course, the legacy media types and usual experts aren’t going to let this stop them bellowing “safe, safe, safe!” from all steeples.
A quick look in the mortuaries of England will soon dampen that ardour.
As it stands the overall mean for 2022 fetches-up at 22.1 percent using the UK GOV dashboard estimate, at 27.2 percent for the NIMS estimate and just 14.9 percent for the ONS second release.
That’s an astonishing extreme difference of 12.3 percent between the benchmark NIMS and paltry ONS efforts representing a loss of around 7 million unvaccinated people in ONS rate calculations. Igor reckons on a factor of x2 and these calcs suggest x1.8… good one Igor!
Will this swing the results significantly? You betcha!
Does it mean that the ASMRs provided are imaginative nonsense? You betcha!
Do senior officers at ONS realise this? You betcha!
It shouldn’t come as a surprise to learn that officers of the Crown can be directed to tell rather big porky pies on behalf of the State (been there, done that, got the carrier bag).
I may well have a look at the corrupt ASMR figures the ONS provide and compare these to some home-baked MR figures using deaths and person years.
Yes, I know we’ll be back in the land of confusion and confounding biases but it’ll be good to get a grip on what age standardisation has been doing to the crude (person years) mortality rate.
See more here substack.com
Header image: UK Statistics Authority
About the author: John Dee (not his real name) is a former British government G7-level scientist who now uses his analytical skills to highlight where the public is being lied to on various subjects.
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