Karahan Tepe and The Serpent Motif

Quetzalcoatl was the ‘vaulted serpent’ of Aztec culture. The ‘Rainbow Serpent’ was the primary creator God inside indigenous Australian culture. Were these myths merely cultural interpretations of the same Shining One from the Sky?

Twelve Miles East of Eden

Archaeologists have been working at a new dig site since 1997, a kind of ‘sister site’ to Göbekli Tepe, called Karahan Tepe. The site is located near Yağmurlu in Anatolia, Turkey, and is roughly 35 kilometers east of the Göbekli Tepe site and its fertile garden plain of Paddam Arram (‘Harran Plain’ in the image to the right). The site is now considered to possibly be even older than its sister site, at 11,500 years old.1

In a previous article, we cited the legacy which this region has played inside the mythology of the Arameans (forerunners of the Aramaic-speaking peoples); and in particular, the development of Antiochus I’s Hierothesion at Nemrut Dağ. It is our construct that key elements of the mythology related in the documents which eventually became the Bible’s rendition of Genesis, played out inside this very region. A region also known as the Fertile Crescent or Cradle of Civilization.

The purpose of this article is simply to highlight an observation I have made regarding the Serpent Motif which was carved by the builders of Karahan Tepe in chamber 3 of the site. I contend that the idea should be seriously considered, that this motif represents not a literal serpent, but rather the Sagittarius central plane of the Milky Way galaxy as viewed in the night sky from Earth. The comparison is drawn in Exhibit A below.

Exhibit A – The Shining One – carved into the limestone above the third main chamber at the Karahan Tepe archaeological site in Şanlıurfa Province, Turkey is the motif of a viper serpent. This compares structurally to the Sagittarius central plane of the Milky Way galaxy visible in the night sky.

Nachash, the Hebrew word for serpent, actually possesses three coincident meanings:2 3 4

As a noun, it means serpent.
As a verb, it means to divine; the nachash means the diviner.
As an adjective (from the nâchâsh root, ‘to shine’), it means shining; the nachash means the shining one.

All three forms of definition bear relevant context inside the analogy outlaid in this article. In an ancient form of the revered mythology of mankind, which was much later co-opted into the religious privations of various highly-biased sects and cults, one rendition of a familiar tale reads thusly:

Now the serpent was more cunning than any beast of the field which the LORD God had made. And he said to the woman, “Has God indeed said, ‘You shall not eat of every tree of the garden’?”

And the woman said to the serpent, “We may eat the fruit of the trees of the garden; but of the fruit of the tree which is in the midst of the garden, God has said, ‘You shall not eat it, nor shall you touch it, lest you die.’ ”

Then the serpent said to the woman, “You will not surely die. For God knows that in the day you eat of it your eyes will be opened, and you will be like God, knowing good and evil.”

So when the woman saw that the tree was good for food, that it was pleasant to the eyes, and a tree desirable to make one wise, she took of its fruit and ate. She also gave to her husband with her, and he ate.

~ Genesis 3: 1-6, New King James Bible

Were the hapless human creatures, suffering anosognosia and involuntary servitude inside this mythological play, being instructed/deceived by a serpent indeed? Or perhaps, someone whom mankind merely associated with The Serpent Motif? Shall we forget in particular, Quetzalcoatl, the ‘vaulted serpent’ of Aztec culture, or the Aboriginal ‘Rainbow Serpent’, the primary creator God inside indigenous Australian culture?

Were these merely cultural interpretations of the same Shining One in the Sky, the Nachash? Only time and patience bear even a remote chance of revealing that answer.

The Ethical Skeptic, “Karahan Tepe and The Serpent Motif”; The Ethical Skeptic, WordPress, 2 Feb 2023; Web, https://theethicalskeptic.com/?p=70739

The Unbearable Cost of Sycophancy

Three species of sycophancy relate to the loose Shakespearean adage, ‘Methinks he doth protest too much’. When sycophancy becomes the basis of rationale for action, large scale disasters are the result. The net cost of fervent wokeism and social skepticism during the Covid-19 Pandemic? 580,000 young citizen lives and rising fast.

The future death tally from such maliciously-motivated thinking could stand to be on the order of 20 million lives or more – a divergent function which is very difficult to predict, save for its inordinately large reality.

The cost of political wokeism and fake science – The cost in terms of human lives (set aside suffering), will exceed the total cost in Covid-19 Pandemic lives, around late October 2023. At that time, more people will have died at the hands of our political left and poor public health policy decisions, than from the SARS-CoV-2 virus itself.

Most American citizens today perceive that there exists in our society pernicious forms of socialized religion, politics, and science. Indeed the purpose of this site, The Ethical Skeptic, has always been to point out both the flaws in thinking and know-them-by-their-fruits handiwork of such social skeptics. Our mission has been to help prepare minds, and equip them in spotting the darkened philosophies of those who pretend to represent rationality, critical thinking, virtue, and science itself.

Theirs has always been an intolerant club of royalty-wannbe self-appointed elites, seeking to impress their way to membership or status therein. How best to achieve such lofty status? Become the most uber of the uber themselves. As Admiral William F (Bull) Halsey is known to have quipped regarding war, “Hit hard, hit fast, and hit often.” Indeed, such poseurs view their conquest of society as a form of warfare – with their only option to impress, to escalate therein. One of my favorite comedy artists elicits this in her monologues.

You know it’s funny the difference between joining a conservative group and a liberal one. When you approach a group of conservatives and say “I’d like to join, I’m a conservative as well”, their response will be “Cool, welcome.” When you approach a group of liberals and say “I’d like to join the effort. I’m as liberal as they come”, their response will be more along the lines of “We’ll see about that.”

~ Taylor Tomlinson, Comedienne

Three types of sycophancy relate to the adage “The lady doth protest too much, methinks.” from William Shakespeare’s play, Hamlet. This familiar phrase often refers to a person who overacts inside very visible matters of virtue, in order to enhance or exonerate their personal position inside that group, or to allay a secret doubt on their or other members’ behalf.

These three species of deceptive behavior serve to contrast as much as anything the distinction between the opposites, ethics and virtue.

Religious Sycophancy – embodied in a principle called Neuhaus’s Law (Richard Neuhaus, Christian cleric and Catholic priest)1 : Where orthodoxy is optional, orthodoxy will sooner or later be proscribed. In other words, setting faithfulness aside, ‘God favors the edgy and self-perceived artiste’. Such thinking devolves into a kind of extremist cult inside a cult, a religion of negative reactance. The club of edgy atheists is an example of such religious sycophancy. One does not have to intellectually believe in God, in order to effect the practice of such philosophy inside their life.

Political Sycophancy – embodied in the brainless one-upsmanship of modern progressive liberalism, wherein each player perceives themself to reside in a contest to see who can out-woke all the others. Their habitual defense often involves accusations of straw man, bucket characterization of opponents, and/or ‘racism’.2 The net result of this is a kind of irrational and irreversible fervency on the part of people who seek social control.

Science Sycophancy – embodied by social skeptics : Social skepticism is kabuki, the activist-minded abuse of science by means of its underlying philosophical vulnerability, skepticism. An imperious agency which has politicized and enslaved science through teaching weaponized fake skepticism to useful idiots. The social skeptic is a ‘communicator’ who seeks to squelch scientific dissent, as well as foment and exploit enmity between the lay public and science.3

Such errant thinking rules our universities, media, and politics – much to the injury of the majority of American citizens.

The Cost of Sycophancy

The cost of sycophancy usually involves suffering on the part of the majority of the population, and the enrichment of a very small membership of Royalty, those who profit from the mantle of the fake virtue they have pushed. One should take note that the symbolic group behind such virtue, never actually benefits.4 As often turns out, the cost of this kind of irrationality exploits or functions critically around a principle of human foible I call quod fieri.

quod fieri – (Latin: (lit.) ‘the fact that now something is to be done’) – a form of intervention bias in which something is done, not from sound evidence or a history of effectiveness, but rather simply because ‘something must be done’. This type of decision or action usually is executed in a panic situation, in the face of a slow moving disaster, or a theater of cataclysmic mirage. Ironically its feckless or inane basis is compensated for, by a religious, political, or social fanaticism as to its claimed (but usually false) effectiveness. Those who raise questions regarding the action are typically cast as deplorable and anti-virtue.

The tyranny of the sycophant forces decision makers into taking symbolic or virtuous action before all factors are known and before the question is even defined. This bears the greater chance of resulting in disaster.

Even worse than The Peter Principle, when you hire and promote only persons who look correct to sycophancy, you inherit their lack of skill, their shortfalls in integrity and experience, and their propensity to hire only persons who are exactly like themselves.

There are times during which, because of a lack of intelligence on the matter at hand, taking limited, parsimonious, or even no action – is the right course of action. One should stay the hand of righteous swift justice until such time as one fully comprehends that they are not God, and indeed bear not the least idea as to what is righteous in the first place. Ethics eschews righteousness, virtue claims it.

The net cost of such human depravity today? Hundreds of thousands, perhaps millions of lives in the future, at the hands of fake science, political, and social virtue proponents. To wit (click on images to expand them):

Exhibit A – Excess Non-Covid Natural Cause Mortality with Pull Forward Effect
Exhibits A and B: The Cost – 581,490 lives and rising over the next decade. Fervent sycophancy on the part of the religious, both woke and social skeptic, has cost us dearly. Lives lost to medical mistake, vaccine injury, accident, murder, drug abuse/overdose, and social despair alone during the Covid-19 pandemic. We acted in accordance with lockdown and virtue-words (eg. ‘vaccine’, ‘flatten the curve’, ‘mask up’) policies of magical thinking, before we could define the danger we actually faced and before we knew which action we should be rationally taking. Such quod fieri was egged on by progressives from the left side of the political aisle.

As one can see from the two charts in Exhibits A and B, the net cost of such sycophancy as of 17 December 2022, is on the order of 580,000 lives. This death tally is growing by a ratio of 5 to 1 (9,115 versus 1,928 lives) each and every week now, fast overtaking total Covid-19 pandemic deaths at 903,000. The future death tally from such maliciously-motivated thinking could stand to be on the order of 20 million lives or more – a divergent function which is very difficult to predict, save for its inordinately large reality.

Such is the cost of woke and fake science.

The Ethical Skeptic, “The Unbearable Cost of Sycophancy”; The Ethical Skeptic, WordPress, 29 Dec 2022; Web, https://theethicalskeptic.com/?p=70486

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