AKI Epidemic of the Century
What does excess look like in 3 states that comprise 5% of the U.S. population?
The International Classification of Diseases version 10 coding system is called “ICD-10 codes.”
One of the prefixes is N17, which means “Acute renal failure,” often written as “acute kidney injury,” or “AKI,” on death records. This means sudden kidney failure.
Coquin de Chien’s recent article entitled THE CONNECTICUT MEMORANDA SERIES - Vol. I found here has more detail than this article. However, this article looks specifically at the excess deaths in aggregate across all three states — Minnesota, Massachusetts, and Connecticut.
The team at Phinance Technologies pushed me to look at Z-scores. I admit to being lazy and not wanting to have to code that into my spreadsheet graph creations. But Carlos was right. It needs to be done. Below please find my adaptation of Z-scores in which the following was done. (Skip the following instructions and proceed to the graph if you do not care how the math was done.)
Procure daily deaths involving N17 ARF/AKI 2015-2023 for MN, MA, CT and add them for each day.
Use 51-day curve smoothing on the entire 9-year timeline of aggregated 3-state values.
Find the linear TREND among 2015-2019. Run INTERCEPT and SLOPE functions for each day of the year using years 2015-2019
Example: = INTERCEPT({1Jan2015value, 1Jan2016value, 1Jan2017value, 1Jan2018value, 1Jan2015value}, {0,1,2,3,4}) This yields the y-intercept for the linear least squares approximation of the TREND line that will be formed.
Exmaple: = SLOPE({1Jan2015value, 1Jan2016value, 1Jan2017value, 1Jan2018value, 1Jan2015value}, {0,1,2,3,4}) This yields the slope of the line that will be formed to use TREND method.
Find the expected values for each day of the years 2015-2023. Each day for each year will have the formula, expected = INTERCEPT + x * SLOPE where x is 0 for 2015, 1 for 2016, 2 for 2017 …, 5 for 2020, 6, for 2021, 7 for 2022, and 8 for 2023.
For each day of the year, determine the excess based on the aforementioned process to determine expected, where excess = actual - expected.
Graph the daily excess for 9 years.
Figure 1
The graph depicted in Figure 1 represents 8,431 excess deaths from 2020 through 2023 involving N17 ARF/AKI alone across all three states. An overly conservative calculation using AVERAGE method yields 7,626 excess deaths.
The U.S. Census Bureau states that Minnesota has a population of 5.7 million, Massachusetts has a population of 7.0 million, Connecticut has a population of 3.6 million, and USA has a population of 331.4 million.
5.7 + 7.0 + 3.6 = 16.3; 16.3 ÷ 331.4 = 4.92% of US population
Extrapolate: United States estimated ARF/AKI excess deaths = 8,431 ÷ 0.0492 = 171,413 excess ARF/AKI deaths (AVERAGE method yields 155,046 excess deaths)
SUMMARY
All that black in the graph is DEATH. There is a 100% increase in DEATHS across all three states and, as Phinance Technologies shows here, across the United States also.
Since when do we NOT investigate an excess 155K deaths across the U.S. from a single cause? Why are public health agencies not all over this? Why does the public just shrug and move on?
These deaths were almost all avoidable and were caused not by covid as shown in earlier articles, but rather by something or a couple things that happened beginning in November 2020.
An investigation would not take much time at all. The data resides on government servers. If the “vaccine” worked, the government would use the database to hunt you down and take your job or your ability to buy groceries. But the “vaccine” did not work and it is not safe; and now they want you to just move on. It’s election season.
NO! They killed a MILLION Americans with NIH COVID-19 Treatment Recommendations, DoD OWS “vaccine” mandates, coercion, solicitation, and propaganda.
They murdered a MILLION Americans and they will do it again unless people demand an investigation and answers for their dead relatives, friends, neighbors’ children, and all the injured, who are > 10X the number of dead and whose lives and functions are a fraction of the abilities they once had.
CHOOSE YOUR CANDIDATE WISELY. Demand of the candidate that they address the murder and maim committed by government against The People. Do NOT be fooled and tricked into government going after pharmaceutical companies. The pharma companies delivered what the DoD ordered.
And when DoD is on a mission, they do not stop to study and measure. They just accomplish their mission. But this time the mission was against the American people on American soil.
Your chart says everything that needs saying. What a travesty! Thank you so much for making this so very, painfully, clear. I admire your work enormously.
John, you’re a remarkable man....you continue to produce brilliant analyses that even dimwits can generally understand. The thoroughly brainwashed, however, seem to be set in cement. It’s only the Tower of Babel (legacy media) that stands in the way of societal revelation that these mRNA injections are killing and maiming their recipients.