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May 21, 2022, 10 tweets

Today we continued our close watch on the stark increase in Cancers which began post-MMWR Week 14 of 2021.

They increased so much this last week, that I had to step down and use an older more conservative lag function, just to keep the excess at 9 sigma. 🙁

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I pulled down the ICD-10 deaths since MMWR Week 14 2021 by state - to see if anything comported with the Excess Cancer Deaths during that same time frame.

Yes, Excess Non-Covid Natural Cause Deaths trended well with Excess Cancers by state - albeit at a 9:1 ratio.

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What this inductively implies, is that a common factor is BOTH generating our Excess Non-Covid Natural Cause Deaths, and our Excess Cancers since MMWR Wk 14 2021.

A common cause - but Cancer is not its only sequelae. Cancer only accounts for 11% of the overall Excess.

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As well, one may note that the Flux (temporary death code) Peak trends well with this progression by state.

Thus, these are all caused by the same impetus:

- Non-Covid Natural Cause Excess Death
- Malignant Neoplasm Excess Death
- Abnormal Clinical Deaths Flux Peak

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Not all states are equal in terms of R99 code use. Six states don't really use the ICD-10 code much. Nonetheless, I compared the peak flux in this code with 2 factors

1. Covid Deaths after MMWR Wk 14 2021
2. Pct of Population w/ 2+ doses of \/

#2 was the clear winner.

[5/6]

This is only mildly inductive however & nowhere near the proof we need.

However it suggests that, if these are our two horses to explain our Excess Non-Covid Natural Cause Deaths (right chart).

1. EUA Lack of Treatment Injury
2. \/ injury.

#2 is winning the horse race.

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We should not forget deferred medical attention as the common cause of these two observations as well.

That impetus would appear to have common arriving sequelae as well. Although Cancer at only 11% of that total is a bit of a stretch. It should be the vast majority.

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Below one can see why Malignant Neoplasm Excess Death is the proverbial canary in the coal mine.

When have you seen an 11% statistic predict an independent stat so precisely?

Who else in the World has told you this? Not the 'correct information' syndicate that is for certain.

This signal (left chart) is being driven by the number of people in each state, over age 65.

Given that these states were depleted of elders by Covid over the last 2 years - it is remarkable that these same states are nonetheless producing these Cancer & Excess Death stats.

By taking sound predicate analyses, inductive association between signals, salient/critical path questions, & reducing the set of alternatives accordingly (deduction)

... we end up with The Tale of Three Canaries

This will tell us the excess death culprit in the coming weeks.

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