Houston, The CDC Has a Problem (Part 2 of 3)

As we survey the sizeable array of loose-end and speciously categorized data, it becomes readily apparent that the CDC is exhibiting all the symptoms of an organization which is constrained under the burden of a set of Kuhn-paradigm walking dead theories regarding Covid mortality.

Official data compromised so as to portray disinformation, is the warning sign that an entity, ostensibly one granted a government-authorized monopoly, under joint action to serve the American Public, is no longer serving science nor their fellow citizen – rather only social doctrines and out-of-control politics.

American philosopher Thomas Kuhn is credited with the proposition that science does not evolve gradually towards truth, but rather tends to anchor itself to a paradigm – a construct, notion, or hypothesis which bears the risk of remaining in play long past its shelf life. A theory thus can metastasize into a type of cult, zombie, or walking dead notion, if you will. Kuhn proposed that science therefore advances by what he called a paradigm shift and not merely by gradualism, nor especially through accretion of a set of conforming and convoluted explanatory gimmicks.

Such paradigm shifts occur in the particular circumstance where a current theory cannot sufficiently explain a phenomenon, and a coherent set of counter-observations have begun to accrue. A scientific revolution occurs when: (i) a new construct can be inferred directly from a set of these counter-observations; (ii) this novel paradigm offers superior explanatory power regarding the objective, observed reality; and (iii) the new paradigm runs heterogeneous to established (zombie) theory or narrative.1

A zombie theory is often times one which is sponsored and enforced by a syndicate. It will tend to be flagged for proactive support by its philosophical sycophancy, associated social movement, or allied political party. Such activity of course lends no credence whatsoever to the theory’s actual scientific validity.

When protection of a syndicate-sponsored idea becomes more important than the integrity of science itself, this is a particular form of zombie theory which ethical skepticism calls an Omega Hypothesis.

Within a previous article, we identified a mode and form of inference which we coined as heteroduction.2 Heteroduction is the very process of scientific inference which undertakes step (i) of the scientific revolution cycle identified by Kuhn. Heteroduction becomes of paramount importance in the presence of an enforced Omega Hypothesis.

A corporation or a political movement can become so fixated upon an established zombie theory, that its prevailing elements can rule as a form of pluralistic ignorance inside corporate ranks for years or decades – especially inside entities which do not operate in a market, and lack public scrutiny or competition. The entity or corporation will adopt a form of willful blindness toward its own foibles and fraud in support of its Omega Hypothesis. It will fail to self-check, begin to undertake borderline or even fully unethical activity in order to control what is known, and finally seek to actively suppress any form of dissent inside its ranks.

What the reader will observe below are a series of observations, a heteroduction if you will, signaling the presence of several Omega Hypotheses at play inside the US Centers for Disease Control and Prevention (CDC) – specifically the notion that Covid-19 has itself served as the sole origin of all the observed excess mortality in the US, and that we now face merely the aftermath of Covid-19’s wake, in the form of a pseudo-theory called ‘Long Covid’. A pseudo-theory is a mere notion enforced as science, which explains anything, everything, and nothing, all at the same time. Both of these notions have been falsified in spades. As we begin to examine and pull on the large set of tattered loose threads in the form of the database anomalies exhibited below, it becomes apparent that the CDC is exhibiting all the symptoms of an organization which is operating under the burden of a Kuhn-paradigm walking dead theory; and moreover, a politically-fueled Omega Hypothesis.

CDC MMWR Reporting Problem-Indicator Flags

The principal concerns with regard to the US Centers for Disease Control and Prevention Weekly Provisional Counts of Deaths by State and Select Causes and Wonder: Provisional Mortality Statistics are that the reports have begun to exhibit two primary apparent goals on the part of the CDC and its agency:

  • concealing excess deaths potentially caused by the mRNA vaccines, and
  • attempting to make mRNA vaccines falsely appear as uber-effective in saving lives.

Please note that we will not resolve an answer to either of these issues in this article, rather herein we will only outline the efforts in disinformation, misinformation, and deception on the part of the CDC which are foisted in an attempt to achieve both goals.

Accordingly, four key issues are entailed inside this two-sided-coin deception:

  1. The National Vital Statistics System Upgrade (hereinafter referred to as the ‘NVSS System Upgrade’) afforded the CDC a timeframe inside which it could alter 22 weeks of NCHS-MMWR data. During this window of opportunity the CDC surreptitiously removed excess death records from its database, and adjusted the policies and techniques as to how ICD-10 mortality codes were populated with state death certificate data thereafter.

We outline herein that a new policy was enacted during the NVSS System Upgrade break, one which centered around two categorical gaming practices. The CDC is employing categorical gaming techniques to conceal dramatic Excess Non-Covid Natural Cause Mortality. If these excess deaths are not Covid deaths and are not vaccine related, as is commonly claimed through appeals to authority, credential, and ignorance, then there should also be no reason to conceal their associated records. Yet, that is exactly what is occurring.

  1. Excess Cancer Mortality is being concealed through Cancer Multiple Cause of Death (hereinafter referred to as ‘MCoD’) categorical reassignment to Covid-19 Underlying Cause of Death (hereinafter referred to as ‘UCoD’).
  2. Sudden Adult Deaths are being concealed by holding Pericarditis-Myocarditis-Conductive heart related deaths inside the R00-R99 temporary disposition bucket, far longer than per historical practice, thereby falsely depleting the associated ICD-10 mortality trend for these related deaths.

Finally, the CDC is using the exact opposite technique, exploiting Multiple Cause of Death attributions and adding in completely fictitious deaths as well, in order to make its mRNA vaccines appear to be performing better than they are.

  1. The CDC is using Multiple Cause of Death categorical gaming, and is creating novel death counts, in order to counterfeit an appearance that the unvaccinated are dying at a rate twelve times that of the vaccinated.

These four issues are detailed as follows.

1. The NVSS System Upgrade Provided an Opportunity to Short and Reassign Death Records

The upgrade of the National Vital Statistics System (hereinafter, NVSS System Upgrade) was Machiavellian in its timing and opportunistic focus. In fact, as of October 2022 the entire evolution appears to have been a charade, crafted merely to obfuscate the set of warning indicators and activities outlined in this article. The NVSS System Upgrade provided an opportunity for the CDC to develop mechanisms to conceal Sudden Adult Deaths and Cancer Deaths (see Exhibit 1B below), and ironically only served to degrade the externally observable overall function and performance of the NCHS/State to CDC reporting process. Ostensibly, the process of final ICD-10 state death certificate record classification was to become tighter as a result of this upgrade. In the end, such benefit failed to manifest, as only Cancer Mortality reporting classification-lag actually appeared to improve. Yet even this ‘improvement’ in lag time turned out to be nothing more than the result of the CDC working to quickly hide cancer deaths in the first place (as documented in Exhibits 2A through 2D below). Overall, the NVSS System Upgrade was a failure – and only served to provide cover for surreptitious activity on someone’s part.3

Exhibit 1A – The NVSS System Upgrade was announce on June 6th. Originally, only two reporting periods were to be impacted. As it turned out, seven were impacted, along with 22 weeks of shorted mortality data reporting.

The NVSS System Upgrade was slated to last 2 MMWR reporting weeks, yet ended up lasting a full 5 weeks longer than planned – thereby returning to its market with a full slate of shorted death records inside two specifically targeted ICD-10 code mortality sets, per Exhibit 1B below.

Exhibit 1B – The NVSS System Upgrade period was exploited in order to reduce, in particular over all other ICD-10 mortality codes, sudden adult deaths, cardiac-related and conductive disorder deaths, and finally cancers. Notice how the regular lag-accretion of records occurs in all timeframes both before (A) and after (B) the period in question – yet in contrast, the period in question remained permanently shorted.

As of the last tally we conducted regarding records lost during the System Upgrade, of the 51,910 records which disappeared from the data during the seven week hiatus, 13,245 were reassigned to other ICD-10 death codes, while 9,290 records remained missing from the database altogether. 70% of these missing and reassigned records involved death certificates pertaining to Sudden Adult Deaths and Cancer Deaths. This was not accidental in the least. Those two ridiculously negative-impacted ICD-10 death charts are shown in Exhibit 1C below. Although they are silenced now by the successive weeks confirming that we were correct in our assessment, there were Narrative-driven persons who reviewed my material and insisted that I use these figures as fact in my analyses (falsely touting such condemnation as ‘peer review’). I refused on the basis that I will not succumb to publishing Narrative disinformation.

Exhibit 1C – A detailed audit of the missing death records resulting from the NVSS System Upgrade, shows that around 70% of the missing deaths pertained to Sudden Adult Deaths and Cancers. This should not have been the case if the drop in death cases were a mere temporary artifact or an aspect of newly-showing and compressed lag (improved system functionality), as was claimed. This record shortage served to falsify those notions.

Once this period cleared, and successive MMWR weeks were entered into the database, it became readily apparent that these sudden dips in mortality during the System Upgrade (the two right hand charts in Exhibit 1C above), were either erroneous or fraudulent in nature. Exhibits 2D and 6 show the corrected charts, as we continue below.

2. Categorical Concealment of Multiple Cause of Death Cancer Mortality

The NVSS System Upgrade afforded the CDC opportunity to both manipulate and excuse its reporting of cancer mortality, in order to obfuscate the 9-sigma excess in this ICD-10 code (C00-C97), a trend which had manifested early in 2022. The first signs of this obfuscation effort manifested immediately after the close of the System Upgrade, through a compression observable in the Cancer mortality death lag curve, per Exhibit 2A below. At first we attributed this lag curve compression to an actual improvement in record service time-to-data, as the CDC had indicated was the entire purpose of the NVSS System Upgrade.

Exhibit 2A – Out of the gate at the end of the NVSS System Upgrade, the CDC data drops began to exhibit a separate lag profile for Cancer, versus all other ICD-10 code mortalities. It appeared that cancer was being reported through a separate system from all other state death certificate reporting functionality. As it turned out, as shown in Exhibits 2B through 2D below, the CDC was merely reassigning Cancer Multiple Cause of Death records as Covid-19 Underlying Cause of Death, when Covid-19 was on the MCoD listing on the death certificate (they did this 100% of the time, equaling around 350 – 450 deaths per week).

As it turned out, this ‘service time improvement’ presented as nothing more than a ruse. The cancer mortality lag curve compression which had been observed in Exhibit 2A above was merely an artifact of records being removed from the ICD-10 tally for cancer UCoD, occurring from week 2 through 18 of the provisional death lag period. In other words, the reason cancer deaths were hitting their long-term figure levels as soon as week -4 (all other ICD codes took 12 weeks to accomplish this), was because cancer deaths were being reassigned to Covid-19 UCoD deaths (see Exhibit 2D), or were being removed from the data altogether (see Exhibit 2E) after week -2 (per Exhibits 2B though 2E below). No wonder the lag cleared so fast.

Exhibit 2B – When one matches the MCoD-Only Cancer Death count Covid Deviation from Trend to the UCoD Cancer Only Deviation from Trend, once can observe that 100% of the MCoD Cancer-Covid death records are being given a Covid-19 Underlying Cause of Death.

In order to test just how ludicrous this reassignment of Multiple Cause of Death data is, in Exhibit 2C below one may observe that this quotient of cancer death reassignment to Covid-19 UCoD was not well thought out by the CDC at all. They left a loose end, an Irish Pennant, hanging about – and we caught it.

Since the NVSS System Upgrade, a full 25% of all Covid-19 mortality each week has just happened to be people also dying of cancer. Such constitutes an impossibility in this important mortality account ledger, one which is analogous to the same species of mistake an embezzler might make.

( Please note that I have had more than my share of embezzlers caught and intelligence cases broken during my career. I am well qualified in this professional activity.)

Exhibit 2C – Multiple Cause of Death Cancers with Covid-19 as a Percent of Total Covid Deaths. In 2022, post the NVSS System Upgrade around one-quarter of all Covid-19 death victims, suddenly also happened to be dying of Cancer. This was not the case throughout any other period during the pandemic – the ratio normally falling around 5.3% (in itself also high). The only way this over-apportionment can happen is if Covid is being assigned trivially to cancer patients, so that Covid-19 may further then be assigned as the Underlying Cause of Death, thereby reducing the ICD-10 Cancer tally accordingly. In other words, a categorical gaming of cancer death tallies. This was an undisclosed policy change which occurred during the System Upgrade.

The net effect of this nefarious activity has been a shorting of 350 to 450 Cancer Underlying Cause of Death records from the ICD-10 database each week since the NVSS System Upgrade. When those death records are added back into the data (as they were prior to the System Upgrade) the Cancer Mortality trend resumes its 9-sigma cancer death excess which was observed immediately prior to the System Upgrade, and the cancer provisional lag comes back into alignment with the lag observed inside all the other ICD-10 codes, quod erat demonstrandum.

Exhibit 2D – If one removes merely 75% of the MCoD Cancer/Covid as a percentage of total UCoD Covid-19 mortality, an anomaly which manifested only after the NVSS System Upgrade, and assigns these deaths correctly back into a Cancer UCoD – then suddenly ICD-10 Underlying Cause of Death Cancer Mortality lag comes back into alignment with all other ICD-10 Code mortality and Cancer Mortality returns to its 9-sigma excess level, the level it had attained when the NVSS System Upgrade was declared (manifestly ignorant or malicious timing). Accordingly, this is proof that Cancer deaths are being concealed by the CDC as Covid-19 deaths.

Finally, as one can see below, not satisfied with a mere re-assignment of cancer deaths over to Covid-19 death tallies, the CDC took this one step further and simply removed another 40 to 75 cancer death records from the MMWR database altogether, each and every week of the last 18 weeks. This broaches the question, is such a record reduction then normal? The answer to this question is an unequivocal ‘no’. Almost 100% of the provisional death records end up rising, not dropping, during the lag and provisional reporting period. This drop in cancer deaths is indicative of an exception activity at play on the part of those managing the MMWR reporting databases (Wonder data in the case cited in Exhibit 2E below). By itself, this might not mean that much. However, in light of the full set of nefarious activity centered on obfuscating both SADS and Cancer mortality, this exception too is indicative of fraud underway.

Exhibit 2E – The CDC is removing 40 to 75 cancer deaths from the MMWR reporting database altogether, each week since the NVSS System Upgrade ended (grey line marked down to the orange or blue line as applicable – highlighted inside the red circle). This indicates both an undisclosed policy change during the System Upgrade period, as well a desire to obfuscate as many Cancer deaths as a shrug-of-plausible-deniability might allow. This cancer death certificate removal activity is occurring as of MMWR Week 40 of 2022 up to even 18 weeks after the attending physician or hospital has filed the final death certificate.

One can confirm these desperate attempts to obfuscate Cancer Mortality data by observing the ICD sub-sub code for Ill-defined and Secondary Site (C76-C80) cancers as well. This is an ICD-10 sub-sub code which normally makes up around 15% of all Cancer deaths each week. Post MMWR Week 14 2021 this sub-sub code suddenly composes 42% of all novel Excess Cancer Mortality. One can observe, by accessing this Cancer (C76-C80) meta-chart, that the CDC is particularly concerned about obfuscating the data for this category of entropy-indicating Cancer Mortality.

One can also confirm such false Covid-19 UCoD attributions, by observing the stark but false rise in case fatality rates in the US in late 2022, as is depicted in this US Case Fatality Rate chart. Comparatively, the same chart for Europe features no such rise in CFR (converging around half the CFR of H1N1 flu, in line with most human coronavirus CFRs). Of course therefore, the World does not exhibit this CFR rise either. Only the US is stoking fear and hiding panic mistakes by means of false death accounting.

3. Categorical Concealment of Sudden Adult Death (Pericarditis/Myocarditis/Conductive Cardiac) Mortality

A paradox exists with regard to sudden young person and adult cardiac or anomalous deaths observable since mid 2021. Tens of thousands of cases of young persons dying suddenly in their sleep, or after a sporting event, are belied by a purported reduction in sudden cardiac death claimed by the CDC and pharmaceutical industry trolls, since the NVSS System Upgrade (see Exhibit 3B top panel).

One of my kids’ group of friends, a healthy young man who just finished college and was filled with hopes and dreams, suddenly died in his sleep of conductive heart failure several months ago. No drugs or alcohol were involved.

We were asked to believe (and it is only a belief), that these deaths ‘happen all the time’ and we were just not paying attention to them before. Bullshit – this is the same type of farce which was played upon us as parents of a child newly diagnosed with permanent disability encephalitis from vaccine injury years ago. I recognize the shtick. This is gaslighting.

In fact, those who enforce such pseudo-theory (remember, a theory which explains everything, anything, and nothing, all at the same time) hold absolutely no data to support their narrative dogma. It is maliciousness, pretending to be helpful. Below, we demonstrate why such activity constitutes gaslighting.

In Exhibit 3A below, one can observe that a temporary bucket exists which holds abnormal clinical and lab finding deaths (heavily represented by myocarditis, pericarditis, and conductive heart disorder deaths – because these are the deaths which most often serve to baffle doctors and coroners – as was the case with our family friend). Such deaths are not to be conflated with fentanyl or drug abuse deaths – which are easily detected through blood testing and are accounted for separately.

During the period prior to MMWR Week 14 2022, to include the pandemic period, these deaths were resolved 90% to their final ICD-10 disposition across about 3 to 12 weeks. As one may observe in Exhibit 3A below, not only has this bucket of deaths grown by 70% since the introduction of mRNA vaccines into the US population, but as well, the CDC has decided to cease resolving these deaths to their final ICD-10 disposition. This has resulted in an estimated 35,600 abnormal clinical and lab finding pericarditis, myocarditis, and conductive disorder deaths which are not being accounted for in US Cardiac Mortality – thereby artificially depressing those ICD-10 mortality trend curves and allaying the conscience-nightmares of the pharmaceutical executive board members of the CDC.

This too, is no different than embezzlement of expense money or tax fraud inside a corporation or charity accounting ledger. Jim and Tammy Faye Baker would be impressed.

Exhibit 3A – Abnormal clinical and lab findings deaths not only increased by 70% in the window immediately following the introduction of the Covid-19 mRNA vaccines, but also have not abated. In June of 2022, commensurate with its ‘System Upgrade’, the CDC began using this R00-R99 (primarily the R99 code in particular) as a repository to conceal sudden adult deaths from arriving into their final ICD-10 code disposition – thereby concealing the escalation in pericarditis/myocarditis/conductive heart deaths among especially young adults. As of MMWR week 40 of 2022, 35,600 excess deaths remain concealed inside this temporary disposition bucket.

If one assigns a mere 18% of these anomalous and heavily cardiac deaths in younger persons, back to the Wonder data concerning myocarditis, pericarditis, and conductive heart disorder deaths – one gets a 22-sigma increase in this mortality sub-group since MMWR Week 14 of 2021. This process is shown in Exhibit 3B, and the result is indicated in its lower panel. In fact a very stark inflection in this data develops immediately commensurate with the roll-out of mRNA vaccines nationwide in the US.

My fear is that far more than 18% of these bucket-hold and unresolved deaths, involve abnormal and clinical findings related to pericarditis, myocarditis and conductive heart disorders – and the CDC is concealing a tsunami of a problem. This is a human rights crime.

Exhibit 3B – If one takes a mere 17.8% of the suspended R00-R99 Symptoms, signs & abnormal clinical and lab findings deaths, many or most of which are sudden myocarditis/pericarditis/conductive-heart related in nature, and assigns those deaths to Myocarditis-Pericarditis-Conductive and Other Heart Related Mortality (I30, I40 and Others) – a frightening trend in this mortality category arises.

In fact, if we prosecute this very inference which we inductively derived above, and test this deductively by querying the Wonder MCoD data for all Cardiac related deaths, including those RXX Abnormal & Clinical Lab Findings deaths which relate to abnormal heart-related conditions4 – those ostensibly held in the 22 week stasis cited above – one finds an alarming result. In the cases where there is no Covid-19 listed on the death certificate, we are at an all time high in heart-related deaths for the entire pandemic period. In fact a 17-sigma high (20-sigma with pull forward effect taken into account).

Exhibit 3C – Diseases of the Heart (IXX) and Uncertain Related Disorders (RXX) are at an all time high as of MMWR Week 38 of 2022. Yet you will find pundit after pundit inexpertly declaring that we do not have a problem with heart-related deaths. I have never seen a 20-sigma run in an ICD-10 code with this many weekly deaths attributed to it as a portion of overall mortality. This is extraordinary.

These excess Diseases of the Heart (IXX) and Uncertain Related Disorders (RXX) are not a result of Covid itself, despite the 2020 sympathy curves (Exhibit 3C 2020 blue line humps are in reality missed Covid and not a true increase in this ICD-10 code).5 This inflection and post-inflection signal should be lighting off warning alarms in all corridors of public health, … yet it is not. The combination of consilient inductive strength, reduced by convergent deduction – is tantamount to proof. Sorry pundits, your appeals to ignorance have only served to harm people.

4. Categorical Exploitation of Covid-19 MCoD Mortality to Coerce the Public with Case Fatality Rate Disinformation Regarding Vaccine Effectiveness

In Exhibit 4A below as well, one lays witness the accounting wherein suddenly, Multiple Cause of Death Covid-19 deaths are all assumed to be Underlying Cause of Deaths in solely the unvaccinated cohort. For the week analyzed in Exhibit 4A below, the Covid-19 MCoD tally for the week was 2,650 MCoD deaths (in the over-50 age bracket). Thus the CDC had to convert 841 MCoD deaths to UCoD deaths, and assign them only to the unvaccinated, and manufacture an additional 548 deaths more in that same cohort, in order to make the unvaccinated appear to have a 12 x case fatality rate as compared to the vaccinated cohorts. Rather than being executed inside a database however, this sleight of hand was accomplished in a sampling study instead – one where a reverse projection check was never done, in order to make sure that the results of the inductive projection study were sound – or in this instance, even possible.

These results are not mathematically possible.

This is coercion of innocent citizens by means of purposeful disinformation, and constitutes fraud.

Exhibit 4A – Invalid incorporation of Multiple Cause of Death (MCoD) records to inflate the Unvaccinated Cohort apparent death rate. If one does a reverse projection soundness check on the cohort mortality rates published by the CDC (left two panels in chart) for the week of 10 July 2022 and compares that to the actual MMWR Report deaths (over 50 years of age) for that same week, one finds that the rates of mortality require an addition of 77% more deaths – all of which are added into the Unvaccinated Cohort by the sampling studies referenced.

Below in Exhibit 4B, we take the set exclusion calculations above in Exhibit 4A and portray them along the timeline of their arrival (23 weeks from 2 Apr to 3 Sep 2022), using the CDC’s very own analysis regarding death rates among 50+ year old vaccinated and unvaccinated cohorts.6 When these model calculations are extrapolated to the entire 50+ US population, suddenly a superfluous 12,656 death-count appears – conveniently in the timing and arrival form necessary to comprise the entire excess unvaccinated cohort death component. The superfluous deaths far exceed the 6,617 deaths necessary in fabricating the difference between the unvaccinated and vaccinated cohorts. The calculation base for Exhibit 4B below, which extends from the CDC model, can be seen by clicking here.

Exhibit 4B – By calculating the superfluous deaths used to create the CDC’s fatality rates by vaccinated and unvaccinated cohorts (upper panel), one can observe how these manufactured deaths in the sample populations studied (many of them, but not all, questionable MCoD ascriptions) can be, and only can be, exploited to create the entire vaccinated death rate differential necessary (blue line vs brown line in the lower panel). In fact the arrival form of these superfluous deaths matches exactly the surge in unvaccinated cohort deaths. Note the 18-day separation between the two ‘death’ arrivals.

There is no doubt therefore, that the CDC and/or the surveillance hospital networks feeding this analysis, have manufactured superfluous deaths and inserted them in to the unvaccinated cohort death rolls, in order to fabricate a misleadingly high fatality rate among the unvaccinated as compared to the vaccinated. Inside this activity, the 18-day gap (shown in the upper panel of Exhibit 4B) between the vaccinated and unvaccinated cohort deaths is pivotal. The gap suggests that the following protocol was used to fabricate this cohort differential. Condition #1 below conforms with case arrivals and not the actual arrival of Covid deaths (18 days later).

  1. Unvaccinated status + any UCoD + nosocomial Covid/no Covid = ‘Covid’ death
  2. Vaccinated status + Covid + any MCoD = definitely not a Covid death (use the MCoD)

In other words, die of anything yet also be unvaccinated – then you ‘died’ of the suspected Covid you ‘caught’ upon entering hospital or hospice. Hence a peak sympathetic with cases, 18 days early. If vaccinated – then one could not possibly have had Covid, nor especially severe-Covid, therefore one didn’t die of Covid. A self-fulfilling model which functions upon the circular logic of constraints alone – one gets only that for which they constrain.

Moreover, the superfluous deaths quantified above in Exhibit 4B cannot be reconciled in any other fashion when constrained by the CDC model published above. The only place this magnitude of death differential can be accommodated in the CDC model, is by stuffing the superfluous death count for the period inside a skewed comparative – and the unvaccinated cohort death rate is the only one large enough to accommodate this large superfluous death count.

Thus, the unvaccinated death counts are falsely inflated and the cohort differentials are fraud, quod erat demonstrandum.

Addendum: The Yule-Simpson Effect Inside All Cause Mortality

Finally of course, it should be noted that the CDC attempts to define a pandemic and furthermore expresses its pandemic updates, in terms of All Cause Mortality. As epidemiological professionals in this case, they should not be using such a misleading metric. Pandemic risk at this juncture needs to be evaluated in terms of Excess Non-Covid Natural Cause Mortality (see Exhibit 6 below). This metric (the contrast of which can be observed in Exhibits 5 and 6) offers an indication of risk from Non-Covid death causes. As one can see in Exhibit 6 below, Excess Non-Covid Natural Cause Mortality is at an alarming 13.3% excess, while All Cause Mortality Excess (shown in Exhibit 5) stands at a rather nominal 3.3%. All Cause Mortality can therefore be deceptive when used as a stand-alone metric. Reader, be cautious of public health pundits who loosely spread unqualified All Cause Mortality figures.

Exhibit 5 – The CDC continues to issue its pandemic summary data in the form of All Cause Mortality (ACM). As one can see in the chart above, All Cause Mortality tenders a falsely rosy depiction of the state of a pandemic (3.3%). Because of pull forward effect and the rapid decline in Covid deaths, Excess Non-Covid Natural Cause Mortality (13.3%) is a better defining statistic. All Cause Mortality only serves to conceal excess deaths during the tail of a pandemic. To date, the CDC refuses to use this important statistic in advising our governing and public health officials. You will only find it published by The Ethical Skeptic.

In the end, it is this last chart depicted in Exhibit 6 which serves to confirm the claims made in Sections 1 through 4 of this article. The level of excess natural cause death which is not Covid itself, is around 13.3% to the excess of where it should be – even given a 1.1% baseline growth inside an aging demographic (see Exhibit 6, dark orange baseline ‘annual growth’).

Exhibit 6 – Excess Non-Covid Natural Cause Mortality as a metric, serves to filter out the distractions of Covid-19 as well as mortality from accidents, overdoses, and assault – all of which serve to cloud one’s ability to observe the entailed alarming signal. As of MMWR Week 40 2022, the US has experienced an additional 385,000 natural cause deaths above and beyond what we should have seen for this period of time. Couple this with 80,000 non-natural deaths during the same timeframe, and one finds an excess of 465,000 deaths which have occurred since MMWR Week 14 of 2021. A pandemic all unto itself.

While no other public health entity appears able to or interested in tracking this critical epidemiological metric, we not only track its anomalous magnitude, but we at The Ethical Skeptic believe we know what is causing these excess deaths as well. In fact, the data by ICD-10 sub-sub-code and by US County is starkly indicative, as well as condemning. No wonder the CDC is attempting to obfuscate it – as it will serve to infuriate those whom the CDC serves. Yes, organizations of this type operate under extreme levels of conflict of interest and agency. In the immortal words of Bob Dylan,

But you’re gonna have to serve somebody, yes
You’re gonna have to serve somebody
Well, it may be the devil or it may be the Lord
But you’re gonna have to serve somebody

We choose to stand in the gap for those who cannot defend themselves. Such unequivocal inference regarding the cause of these 385,000 excess natural cause deaths will be the subject of our third article in this series, ‘Houston, We Realize the Problem (Part 3 of 3)’. A problem which is rising at 7,340 deaths per week as of 8 October 2022 – and more importantly, does not appear to be abating any time soon.

The Ethical Skeptic, “Houston, The CDC Has a Problem (Part 2 of 3)”; The Ethical Skeptic, WordPress, 24 Oct 2022; Web, https://theethicalskeptic.com/?p=68500

  1. Michael Perazzetti; The Scientific Revolutions of Thomas Kuhn: Paradigm Shifts Explained; Term Paper, Saybrook University, Spring 2017; https://www.simplypsychology.org/Paradigm-Shift.pdf
  2. The Ethical Skeptic, “Heteroduction – When Classic Inference Proves Unsound”; The Ethical Skeptic, WordPress, 27 Jan 2019; Web, https://wp.me/p17q0e-9kh
  3. Krista Mahr and Erin Banco; Politico: Healthcare: ‘No quick fixes’: Walensky’s push for change at CDC meets reality; 21 Oct 2022; https://www.politico.com/news/2022/10/21/rochelle-walensky-change-cdc-00062874
  4. MCD – ICD-10 Codes: I10-I15 (Hypertensive diseases); I20-I25 (Ischaemic heart diseases); I26-I28 (Pulmonary heart disease and diseases of pulmonary circulation); I30-I51 (Other forms of heart disease); I60-I69 (Cerebrovascular diseases); I70-I78 (Diseases of arteries, arterioles and capillaries); I80-I89 (Diseases of veins, lymphatic vessels and lymph nodes, not elsewhere classified); I95-I99 (Other and unspecified disorders of the circulatory system); R00.0 (Tachycardia, unspecified); R00.1 (Bradycardia, unspecified); R00.2 (Palpitations); R00.8 (Other and unspecified abnormalities of heart beat); R01.0 (Benign and innocent cardiac murmurs); R01.1 (Cardiac murmur, unspecified); R01.2 (Other cardiac sounds); R03.0 (Elevated blood-pressure reading, without diagnosis of hypertension); R03.1 (Nonspecific low blood-pressure reading); R04.0 (Epistaxis); R04.1 (Haemorrhage from throat); R04.2 (Haemoptysis); R04.8 (Haemorrhage from other sites in respiratory passages); R04.9 (Haemorrhage from respiratory passages, unspecified); R05 (Cough); R06.0 (Dyspnoea); R06.1 (Stridor); R06.2 (Wheezing); R06.3 (Periodic breathing); R06.4 (Hyperventilation); R06.5 (Mouth breathing); R06.6 (Hiccough); R06.7 (Sneezing); R06.8 (Other and unspecified abnormalities of breathing); R07.0 (Pain in throat); R07.1 (Chest pain on breathing); R07.2 (Precordial pain); R07.3 (Other chest pain); R07.4 (Chest pain, unspecified); R09.0 (Asphyxia); R09.1 (Pleurisy); R09.2 (Respiratory arrest); R09.3 (Abnormal sputum); R09.8 (Other specified symptoms and signs involving the circulatory and respiratory systems); R40-R46 (Symptoms and signs involving cognition, perception, emotional state and behaviour); R50-R68 (General symptoms and signs); R70-R79 (Abnormal findings on examination of blood, without diagnosis); R90-R94 (Abnormal findings on diagnostic imaging and in function studies, without diagnosis); R95-R99 (Ill-defined and unknown causes of mortality)
  5. Tuvali O, Tshori S, Derazne E, Hannuna RR, Afek A, Haberman D, Sella G, George J. The Incidence of Myocarditis and Pericarditis in Post COVID-19 Unvaccinated Patients-A Large Population-Based Study. J Clin Med. 2022 Apr 15;11(8):2219. doi: 10.3390/jcm11082219. PMID: 35456309; PMCID: PMC9025013.
  6. Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status and Second Booster Dose Public Health Surveillance; https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/ukww-au2k
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Ramkumar

What happened tot he embedded Twitter feed on your webpage?

Princess Peach

RSV is the Current Thing ( https://nitter.net/DrKate4Kids )
ES, any info on correlation RSV vs vax vs covid vs vaccinated_mothers vs ?

evergreen

Cannot the data be produced in both “as reported by attending physician” and “as adjudicated by CDC”?

This data displayed both ways should either be trivially identical or alarmingly disparate.

Also, can the official CDC procedures book be published so that any third party can reproduce from the raw data exactly what the CDC is producing? If not, why not? Can’t this be FOIAed along with related internal emails?

Steve

Your comment about embezzlers and intelligence cases reminds me of Dr Robert Malone’s recent article “mRNA Vaccines: The CIA and National Defense”. Malone attempts to explain the full court press to approve the vaccines and get them into billions of people. This is being driven by the CIA and DoD, who believe there is a pressing need to be able to manufacture vaccines very rapidly to counter the threat of bioweapons/bioterrorism. This also explains the disinformation campaign against cheap therapeutics like vitamin D, many of which are far more effective than the vaccines — but are beside the point. Malone’s… Read more »

eric levieux

thank you for your very hard work and for the courage to address the elephant in the room. when can we look forward to seeing part-3?

Mark L

Thanks for all your hard work. You have entirely smoked them out. The CDC should be outright disbanded, and those engaged in deliberate fraud should be aggressively prosecuted. They’re not merely useless, but a menace. We’re paying billions to fund a public health agency that is actually aiding, abetting, and obfuscating massive harm to the public’s health.

The reckoning is coming, and your expert witness will be a vital tool in bringing justice to these sociopaths.

Sally

thank you for all your hard work. I wish I was smart enough to understand more than the conclusions.

argmax

Thank you TES for doing this. So they really messed up the codes to hide the fact. I will share this.

MsDollie

Thank you, TES.

John Day

Thank You, Sir-Sleuth!
i am disseminating this via my blog and to a few others who have considerably more readers.
Timing might make a difference.
I would like to see more politicians taking stances, particularly in regards to COVID-19 “vaccination” for school-children.

fiatmasochist

Learning all this science about the spike and its microbiology,I feel a big paradigm shift coming
in the approach to disease,specifically neuro disease,
but also perhaps auto-immine disorders. From the vantage point of amyloidosis,
we could aggregate many singular disorders such as Alzheimers, Parkinsons, CJD, MS, ETOH and
HIV dementia, Lyme, toxoplasmosis, etc., and dare I add autism
(is there anywhere histopathology on a deceased autistic child’s brain looking for this evidence?),
and thus correlate common pathways of damage/pathogenesis.
It is possibly even illuminating to include myocarditis if the starting point was electroconduction disturbance.
{One Ring to Bind them All}

thecovidpilot

I was wondering how the working age population could experience a doubling of covid mortality in 2021 relative to 2020. You have explained it.

Of course, all covid case counts are inflated to begin with by about 60%.

Amsch

There’s also the fact that the shots have been shown to increase your chances of getting COVID instead of reducing.

thecovidpilot

I found a very credible article supporting the contention of multiple hundreds of thousands of dollars paid by CMS to hospitals for covid patients. In some states, $200,000, $300,000, and more per covid patient. In New York, $12,000 per covid patient.

https://khn.org/news/furor-erupts-billions-going-to-hospitals-based-on-medicare-billings-not-covid-19/

fiatmasochist

In terms of economic collapse, from the conspiracy POV, this is all ‘helicopter’ money printed out of thin air, and the social aspect is to impoverish the taxpayer and enrich the favored= corporations. This is a ‘paradigm shift’ long predicted and happening now. Economic collapse has as many mechanisms at play as does the spike protein of the pandemic.

Scott S Manzel

wow!

FlapjackEd

How can we get respected voices to corroborate and spread this series of articles?

Tom

No…we have a problem for allowing this corruption to continue putting all of us at risk from a deadly mRNA gene altering injection.