The Problem
Three days ago I became very frustrated after looking at the components of change in the 1-year population estimates by the Census Bureau.
I came to the realization that most of the public datasets released by the US government can not be trusted. I am very hesitant to even call the work the government employees are performing “modelling”. They are just making up numbers.
Two Mortality Datasets
Not even the raw mortality figures seem to be accurate. Take Florida for example. There are two datasets listing weekly deaths that the CDC release:
Weekly_Counts_of_Deaths_by_Jurisdiction_and_Age
Weekly_Counts_of_Death_by_Jurisdiction_and_Select_Causes_of_Death
The latter includes figures for all ages, while the former includes age-stratified figures.
We can calculate checksums by adding up the age-stratified mortality and comparing it to the All-Age-All-Cause-Mortality (AAACM) in the other dataset.
Similarly, we can derive deaths for the age group 0-24 by…
either taking them directly from the dataset containing age-stratified mortality
or subtracting all deaths occurring in higher age groups from this dataset from the AAACM in the other dataset.
When we do this and calculate excess mortality for both versions, we end up with these two timeseries:
Despair
I had grown comfortable working under a great deal of uncertainty, but the birth estimates were shocking.
My spirits were at a low there for a moment which I communicated to some friends before going to bed highly dissatisfied, questioning all the work I have done on the US data (which is yet to be released).
The next day fate reached out to me yet again.
The Solution
Like many times before in my life, I can’t help but feel like god sent an angel down to help me out of this dire situation.
I had a Zoom Call scheduled for the afternoon hours with one of the invisible heroes of this pandemic, who are working tirelessly to bring truth to the masses.
I had already forgotten about it when the person who introduced us messaged me to get a Zoom invite from me.
I am now in possession of the death certificate dataset for Minnesota, years 2015-2023.
This dataset is invaluable. With the person who made this available on our team we will hopefully be able to acquire the death certificates of all 50 states and the immunisation data that go along with it throughout the course of the next months.
Preview
This is only a tiny preview of what to expect. Just a single very simple query.
Throughout the 600 days before approval of the vaccines 0.13 children of the ages 12-15 died on average per day.
Throughout the 600 days after approval of the vaccines the average number of daily deaths occurring in 12-15 year old children was slightly above 0.19.
The increase in daily deaths leads me to suspect that roughly 36 children of the ages 12-15 died in excess within Minnesota between approval of the modRNA vaccines and December 31st 2022, not taking the previous downward trend into account.
Minnesota accounts for slightly over 1.7% of the US population, according to Census Burea Estimates for what it’s worth.
While this is a very striking chart, it does not constitute rock-solid evidence, but we will get to that soon enough.
Fabian, the numbers across mortality and any number of sicknesses are all manipulated to show the exponential increasing starting just before the injections. This way they WILL in future convincingly argue to the public that it is not due to the shots but due to climate change.
All the evils in the world seemingly started in "2017" or in your case above before the shots were rolled out to kids that age.
Stats is a lost case for us.
World Bank population figures expected last June for 2022 are still not released:
https://data.worldbank.org/indicator/sp.pop.totl
They do have some detailed age data under Series if it can be trusted:
https://databank.worldbank.org/reports.aspx?source=2&series=SP.POP.TOTL&country=