Recently a person claiming to represent 'Covid Science' did a sleight-of-hand hack job on my Cancer tracking chart that I derive from CDC data.
We take you through that parade of deception & incompetence in 5 panels, after exemplifying how this work is professionally done below.
The 1st sleight-of-hand he used involves decrementing UCoD depressed cancer deaths from the totals.
He failed to us the Wonder Database to double-check and see if the lowered Cancer death rates were real, or merely an Underlying Cause of Death effect (i.e. Died 'with' Covid).
His 2nd sleight-of-hand involved obscuring the clear MMWR Week 14 inflection, the stark increase in cancer deaths thereafter, & then denying that it has occurred at all.
Yet there it is on his chart - my very point.
Obtuse? Malicious? Both when you claim to be 'Covid Science'.
The 3rd sleight-of-hand used is to appeal to provision. Here he cherry picks a relevant date range which best frames the picture he wants to paint, rather than 'to date'. He is 'debunking'.
One can read how debunking (fake science) works in this article:
The 4th sleight-of-hand used - he pretended that 1 million early-death older citizens, would in no way lower the cancer death base rate in 2022 (not that one needs that count to make the argument).
Despite my explaining this (& all these 5 points) to him several times via email.
And finally the pièce de résistance - he truncates the 32 recent weeks of cancer rise & pretends they don't exist (because they abjectly falsify his narrative).
Then he employs the CDC 23 K record redaction to create a false ¡downturn! in cancer death rate at the 'end' (week 6)
Folks, that is a five step journey into how an academic, who just recently set out on a club-incentivized debunking foray - reveals both a lack of comprehension and background in the data, along with the desire for a quick victory, and magician's rush of crowd deception/approval.
Below, I leave you with the Cancer entropy chart, and several other charts this gentleman does not know how to do - that also dramatically back up my inference to date (I have not made a final conclusion just yet)....
Thank you,
TES
If you would like to read my article, where I outlay every data source, every step, and every, calculation - that can be found below.
This is a debunking statement, containing false science. Let's dive in...
1. False. I don't have a plausible mechanism as to what gravity is, but I am allowed to observe/measure it.
Many principles are based upon observation alone, hopefully mechanism theory follows.
2. False. This is not a 'claim', it is an observation. By making it a claim, it must be proved right now - before the CDC releases its full next year of data.
This is a trick of a fake skeptic/academic.
3. False. The Law of Large Numbers renders the remote in possibility - a certainty. We are dealing with hundreds of millions vaccinated. Even the slightest signal will show in this type of data.
He should have known this, given his position and tenure. Take this as a hint.
We begin with Cancer Deaths. I don't know what else to do in order to lower this curve.
PFE is minimal already
Lag adjust is again at level never used before
This is still short 9,290 death-redactions
I will just leave this here without further comment.
1/4
Meanwhile Excess Non-Covid Natural Cause Deaths continue on their 5+ sigma track even with PFE declining to nothing, and every trick in the book to lower the curve growth.
349,000 deaths of younger persons since MMWR Week 14 2021.
2/4
Meanwhile, the new 'overhaul' team at the CDC aside from screwing up 20 weeks of death records, is still not keeping up with Non-Natural Cause Deaths.
Is there any way, CDC, that you can call the old person back in to consult on how to do this properly?
The week off (10 Aug) allowed the forensic team at the CDC to make a lot of progress thru the deleted death records.
Of 51,910 missing death records
29,375 (56%) were re-homed
13,245 (26%) were re-assigned a new death code 🙄
9,290 (18%) are still missing and yet to be processed
Note the majority of deaths assigned a new death code were SADS-heart myocarditis, pericarditis, conductive disorder deaths - comparing the original shortfall chart (7-13) to the latest one (8-17).
Cancer is much more difficult to assign another death code.
AKA fraud.😡
Finally, note that the new ICD code which these myocarditis/pericarditis deaths went into were primarily
Notice something here. Of the same panel run for the US-Europe-World - the taper slope for both W-A-D and BA.X courses of Covid exhibit exactly the same bifurcation, scales & metrics.
A younger slope W-A-D originating May 2019
An older slope BA.X originating Mid 2017
1⃣
Now if we hearken back to the genetic aging of the BA.X course of strains, and remember the nucleotide-by-nucleotide entropy weighted mutation dating we ran - we also got a Mid 2017 origin for BA.X in that analysis as well.
😎
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The principle of entropy-weighted variant genomic dating - A nucleotide pair with a lower chemical bond entropy, will reliably mutate less often. By comparing relative counts of how many low entropy nucleotides have mutated one can gain a RELATIVE dating between 2 variants.