This gets a bit complicated, so bear with me. The blue information in the chart you should have already seen in the previous post, but shown as positives instead of negatives. The red information is the sum of the modelled excess deaths shown in Bioweapon Modelling Part 4. I was surprised to see how closely the two datasets were matched. To explain why that surprise occurred, I will answer some obvious questions.
In late 2020 some extraordinary predictions, supposedly from computer models, were being pushed by the legacy media and by government. My background in Control Systems requires the building of mathematical models, and I decided to verify or disprove what I was being told.
To build a Model, the science is essential. If the science isn't there, and since SARS-CoV-2 was supposedly a “novel” virus, you need to look for the “right” sort of data to fill that void. I thought I had found that in Korea. It took a while to put the model together, to run some checks, and for a while all went well.
And so it came to January 2021 and into early February 2021. I had gathered Covid-19 data from Korea on their surge in infections around their National Day of 20th August 2020, the following decline, and their Covid-19 deaths. The model used that data and its derivatives forecast UK infections from August 2020 through December 2020 and into February 2021. That is what you see in Bioweapon Modelling Part 6.
Maybe the Model derived from Korea is wrong? Then either the UK suddenly had a higher case fatality rate than Korea, beginning December 2020, or deaths in the UK were wrongly recorded as Covid-19 from those dates. Or it could be that the Model was right and something caused excess Covid-19 deaths. But What?
Given the coincidence with the beginning of the UK vaccination programme, logic dictates that a degree of lethality be assigned to the first Jabs together with a Model of the temporal effects of the Jabs, to determine if the Jabs can be excluded as a cause of the excess deaths and the errors evidenced in the Korean derived Model of Covid-19.
As mentioned above, the science to build such a Model is lacking. The data from the pharmaceutical trials is not of sufficient size and structure to create a model in a similar way to that derived form the Korean data. There is however, extensive data on “vaccinations”, and that, combined together with day-by-day data of deaths in individual ages can give a statistical picture of processes that link Jabs to later deaths at points in time.
Could the derived Models be wrong? The derived Models are quite accurate, however, the Models depend on the data input. If the data on the Jabs or on the deaths is inaccurate, the accuracy of the Models will suffer. Also, there are random statistical variations in the occurrence of deaths. For these populations, these effects are expected to be tiny.
Are there other considerations? Yes. The red data is for the whole of the UK population and shows deaths assigned as Covid-19, and calculated as excess above modelled mortality predictions. The accuracy of these assignments is indeterminate at this point in time, and there is an underlying assumption that all Covid-19 deaths are deaths in excess of historical averages. Questioning that assumption is beyond the scope of this post.
Also, the blue data is derived from Jabs in England only, the excess deaths used in the modelling are calculated for England only, and the modelled population
is that of those aged 75 to 90+ in England. While the modelling could be extended to the entire population of England, and the results then scaled up in proportion to all of the UK, the comparison is still one of excess modelled Covid-19 deaths versus estimates in models of excess deaths linked to vaccinations. The comparison would thus be somewhat akin to to comparing apples to oranges. The numbers may match, but these are created by different Models.
Conclusion
To the extent that a causal relationship between Jabs and deaths is established, and within the statistical uncertainties, it can be said that 50% of the caused deaths occur within three days following the Jab administration, that these deaths are unrelated to Covid-19 infections, but that close to all these excess deaths are recorded as Covid-19 deaths in the period 10th December 2020 to 10th February 2021 in the population of England aged between 75 and 90+ years of age.
How many deaths? Circa 15,000.
Of those, 7,500 or so died within 3 days of their first Jab. And no Doctor thought to put “vaccination” on the death certificate? I leave that with you.