Wall Street Silver
@WallStreetSilv
Nothing suspicious about a group of Syrians walking across the U.S border wearing 5.11 tactical gear.
More of Joe Biden's illegals for you to support.
🤦♂️ 🤡 🌎
12:42 PM · Feb 21, 2024
·
https://twitter.com/WallStreetSilv/status/1760374361976983953
Intoxicated Man Armed With Plastic Fork Shot And Killed By LAPD Officers
10 hrs ago
https://twitter.com/BobKellyFOX29/status/1760599845314683031
Bob Kelly
@BobKellyFOX29
BREAKING…. AT&T Phone Network is DOWN. Cannot make or receive phone calls, texting still works. Seems to be nationwide. Viewer from Alaska said he has no cell service also.
Happened Exactly At 4am.
@FOX29philly
@ATT
3:38 AM · Feb 22, 2024
https://downdetector.com/
·
Mario Nawfal
@MarioNawfal
🚨 BREAKING: REPORTS OF MAJOR AT&T OUTAGE IN U.S
AT&T is currently experiencing a nationwide outage affecting several major cities.
People are not able to even dial 911
"This was confirmed to us by Erie County (NY) 911 who also told us First Net, which is a network that connects first responders, is being affected by this outage." - YourErie
The below message was received by a close friend in California.
4:22 AM · Feb 22, 2024
Private Investigator
@Top1Rating
There appears to be a widespread national outage of AT&T’s cellular network. My location isn’t showing as red here but my cellular service is out as well. Wifi just came back. This is quite concerning.
4:23 AM · Feb 22, 2024
https://twitter.com/Top1Rating/status/1760611253914103965
Daily Red News Official
@DRNOfficial
🚨#BREAKING: This is a MUCH larger issue than previously realized. Reports are coming in from many major cellular networks nationwide of outages, to include T-Mobile, Verizon, and Cricket.
#tmobile #verizon #cricket #breakingnews
Quote
Daily Red News Official
@DRNOfficial
·
1h
🚨#BREAKING: AT&T is reportedly experiencing nationwide cellular outages.
#ATT #outage @ATT
3:37 AM · Feb 22, 2024
https://twitter.com/DRNOfficial/status/1760599704201576832
·
D N
@HammerIsDown
Seeing posts across X indicating outages on the international level. Seen several reporting in from Italy in the last 10 minutes. Checked NOAA no flare activity to attribute to the outages at this time.
3:53 AM · Feb 22, 2024
https://twitter.com/HammerIsDown/status/1760603715914899577
>outages on the international level.
Who Is John Galt
@Jimmykrakorn2
Germany is having massive outages also
4:04 AM · Feb 22, 2024
https://twitter.com/Jimmykrakorn2/status/1760606525842673773
Anonymous News 🌐
@Anonymous_Link
Anonymous Sudan hack into Israeli mobile network.
Metrics from Israel mobile operator 012 Smile/Partner Telecom indicate an interruption to the network, supporting user complaints of outages.
#Anonymous is also behind the cyberattack on Mossad
#OpIsrael
From albawaba.com
4:16 AM · Feb 22, 2024
https://twitter.com/Anonymous_Link/status/1760609516352065950
🪬 ♐️
@NGST98
Anyone else have FirstNet (ATT First responders network) and you have no service?
#FirstNet #ATTWIRELESS
4:42 AM · Feb 22, 2024
https://twitter.com/NGST98/status/1760616074268000658
https://www.msn.com/en-ca/news/world/ukraine-will-have-right-to-strike-with-f-16s-on-legitimate-targets-in-russia-nato-chief/ar-BB1iHpYv
Ukraine will have right to strike with F-16s on legitimate targets in Russia - NATO chief
Ukrainian pilots of F-16 fighter jets will have the right to strike legitimate military targets in Russia, according to NATO Secretary-General Jens Stoltenberg.
When asked when Ukraine would be able to deploy the F-16s, Stoltenberg said it was impossible to say.
He confirmed that all of Ukraine's allies want the fighter jets to be in Ukraine as soon as possible, but noted that the effect of the F-16s will be stronger if the pilots are well trained and the crews and other support personnel are well prepared.
"So, I think we have to listen to the military experts exactly when we will be ready to or when allies will be ready to start sending and delivering the F-16s. The sooner the better," he said.
According to Stoltenberg, each ally will decide for itself whether to supply F-16s to Ukraine, and the allies have different policies.
But at the same time, the Secretary-General noted, the war in Ukraine is a war of aggression, andKyiv has the right to self-defense, including strikes on legitimate Russian military targets outside Ukraine.
F-16s for Ukraine
Last August, the Netherlands and Denmark promised to provide Ukraine with 61 American-made F-16 fighter jets.
Recently, it became known that the Netherlands planned to prepare six additional F-16s for Ukraine. Ukrainian pilots are being trained in Denmark and the United States.
Earlier, CNN reported that the first group of Ukrainian pilots, consisting of four people, will complete the F-16 training program by the summer of 2024.
https://twitter.com/disclosetv/status/1760385335043785208
Disclose.tv
@disclosetv
NEW - Red Cross official says the only way to get blood "that is not vaccinated" is to donate for yourselves or from an unvaccinated family member.
0:05 / 1:25
From
Steven Crowder
1:25 PM · Feb 21, 2024
A summary of excess mortality in the United States (The Ethical Skeptic)
https://theethicalskeptic.com/2024/02/20/the-state-of-things-pandemic-week-50-2023/
The State of Things Pandemic – Week 6 2024
This is the much anticipated ‘Houston We Have a Problem (Part 3 of 3)’ article.
A summary of excess mortality in the United States: A comprehensive analysis for Week 6 of 2024 – marking the 206th week of the SARS-CoV-2 Pandemic. This article provides an in-depth examination of various factors contributing to increased mortality rates, including an assessment of the primary causes. Despite facing challenges in visibility due to varying degrees of allowance and dissemination across platforms like Apple, LinkedIn, YouTube, and Facebook, this analysis strives to present an unbiased, evidence-based perspective on this excess mortality.
As of Week 6 of 2024, 3.96 years into the Covid-19 Pandemic and its aftermath, 1,625,842 excess deaths have been recorded to date. Now certainly, the SARS-CoV-2 virus was a deadly pathogen, itself 6.6 times more deadly than the typical annual mortality total for all influenza viruses combined. However, as the reader will infer from the material below, it was the panic-fueled, and in some cases malicious, actions of those few in power which have served to precipitate the larger part of total excess mortality during the pandemic, as well as post-pandemic, periods.
As of February 10th 2024, there have been
706,036 Excess Non-Covid Natural Cause Deaths (primarily from the Covid Vaccine),
176,870 Excess Non-Natural Deaths (including 60,000 sudden cardiac deaths in casual drug users),
374,369 Excess Deaths from Malpractice and Denial of Treatment,1
368,567 Excess Deaths from the SARS-CoV-2 virus (6.6 x annual influenza-pneumonia)2
making for a grand total of 1,257,275 Manmade Excess Deaths of US Citizens, out of a Pandemic Total Excess Mortality of 1,625,842.
Background
A wide diversity of ‘Omicron’ variants were discovered to have been percolating throughout global populations in 2021 (we contend that the mutation rate, the immediate high genetic diversity, as well as the genetics themselves indicate circulation since 2017), featuring a Case Fatality Rate which turned out to be curiously on par with the well-established annual HCoV and flu mortality benchmarks (a metric of human frailty as opposed to necessarily just pathogen virility). This far lower CFR of 1.1 to 6.6 (also corroborated by means of CDC data in Chart 1) versus Wuhan-Alpha-Delta strains is substantiated by the Our World in Data dataset, and can be seen in Exhibit A below.
Exhibit A – Omicron turned out to be half as deadly as was the 2009 H1N1 flu. There were two Covid-19’s. One imparted advance immunity in Asia, and after the fact globally in 2022. This diverse set of strains was falsely labeled ‘Omicron’. Fortunately, that ruse was ended, and they began to name these long-extant, myriad, and diverse background strains independently in mid-2022.
As one may observe, ‘Omicron’ is about half as deadly as was the 2009 H1N1 flu. It arrives amazingly at a CFR of about the level of a normal year’s influenza and pneumonia.
Therefore, something else is behind the non-Covid excess natural cause deaths of our younger citizens which began in mid 2021 (and it is not Covid-19, Long-Covid, lockdowns, nor fentanyl).
Notice that public health authorities never cite this. Notice as well, how they avoid the implication that the diverse set of ‘Omicron’ strains were the most likely candidate to have produced Pacific Asian immunity to Wuhan-Alpha-Delta (and not their ‘lockdowns’, which thereafter showed to be ineffective beginning with 2022 strains in Asia – amazingly right on time for the well established four-year HCoV mutation/infection cycle).
1
Thus, it became increasingly clear throughout our analysis that most of the globe (having already been exposed to lower-mortality proto-Covid variants) fared Covid-19 relatively well because of the advance immunity imparted in the years prior to the official pandemic. Moreover, that disruption, lockdowns, iatrogenics, denial of treatment, along with our quod fieri final solution, have collectively served to kill the majority (namely 1,257,275 or 77.3%) of the US Citizens who died during the 206 weeks of the pandemic and its aftermath thus far. It is clear, despite the original danger presented by the Wuhan through Delta variants of the SARS-Cov-2 virus, that this circumstance quickly escalated into a man-made tragedy within the United States and other Western nations.
USA Nominal Excess All Cause Mortality – 7.5%
The beige line in the chart below shows the actual CDC Wonder deaths per week for the two years prior, as well as years-of and years-post the pandemic. The dark orange baseline is normalized from the years 2014-2019, representing a 1.4% annual growth in mortality for the US in terms of all causes. This 6-year baseline reflects a balance between a retrospective lengthy enough to provide statistical significance, but not so long as to be confounded by generational effects or immigration impacts.
Please note that we do not employ the incorrect terms/metrics ‘crude mortality rate’ and ‘age-standardized mortality rate’ (Chart 2 outlines our terms and metrics). These indices are used to compare death rates between nations in a normal circumstance, not for a retrospective impact of a black swan event inside a single nation.3 This is an essential element of professional competence.
Chart 1 – Excess All Cause Mortality (USA) – without Pull Forward Effect (without PFE, or ‘nominal’) resides solidly at 7.5% excess. With pull forward effect taken into account, this excess is at 11.0% or 6,911 persons per week (see Chart 2 below). A portion of this excess is Non-Natural or Covid-19 excess mortality – thus, Non-Covid Natural Cause Excess Mortality stands at 8.5% or 4,645 persons per week. In comparison, Excess Non-Natural Mortality stands at 18.5% or 930 persons per week (see Chart 4 below). Pandemic mortality totals are shown in the beige set of statistics on the left hand side of the chart. Notice that Wuhan-Delta variants were 6 times more deadly than are the more-highly-diverse and immune-system-familiar ‘Omicron’ variants. Take this as a hint.
This chart of course, reconciles with each of the other charts inside this system reporting summary article. We track this system coherency each week to make sure that the entire set of metrics agree with one another.
Modeling a system is like driving a car or conducting a symphony. One is comparing hundreds of inputs for consilience in development of a dynamic description of reality. Everything must work in concert and/or agree. Cursorily scanning the side-view mirror on GitHub, and quibbling with people who have never driven a car in their life, over whether that was a truck or a smudge on the glass, is irrelevant and unproductive. A mere exercise in wanna-be ego.4
This article presents a dynamic systems analytics argument. This is not ‘statistics’. The mission therein resides in detecting signal, not comparing batting averages or political candidate approval ratings on a simple spreadsheet.
When professional systems engineers replicate this work, they corroborate the answers therein.
When professional actuarials replicate this work, they corroborate the answers therein.
2
I do corroborate or falsify my various model conjectures (you don’t see the hundreds which showed as invalid), in the form of retrospective, derivative, cross section, spanning tree, delta-sensitivity, constraint reference testing, and comparative analyses – and not through wasting precious time in trivial arguments with inexperienced pretenders under extreme agency or bias. After all, this is what a systems professional naturally does – one who is used to having their work be subjected to intense scrutiny by knowledgeable client stakeholders as opposed to angry ad hominen focused pretenders.
Time renders the truest of peer review, surpassing the collective savvy of all experts.
If one uses only raw data to craft these charts they will always get a wonderful-looking trend in death. Back when Covid cases were varying highly by season, in a quarter where the case trend ended below the pandemic line, did that mean that the Pandemic was over? No. The same principle applies here then, one cannot use mere raw data (especially one stand alone metric) to draw inference. In general, there are six adjustments or exclusions/inclusions one need make (depending upon the data scraped/linked) to raw data obtained from the CDC/NCHS:
Weeks -1 to -12 for state reporting lag
Weeks -1 to -25 for RXX (abnormal findings) hold shortfall/overage (depends upon ICD code)
Weeks -1 to -33 for 999 (non-natural suspected) hold shortfall/overage (depends upon ICD code)
Weeks -12 to -33 for erosion from ICD reassignment by CDC
Weeks -12 to -33 for erosion from UCoD to MCoD reassignment (see Chart 5) by CDC
Pull forward effect adjustment (see Chart 3b) of the baseline deaths anticipated for 2021 through 2027
All of these adjusts are either marked on the charts below, or are outlined as to how they are obtained, in a separate chart. If an analyst does not track these confounders faithfully and weekly over time and compare their relative impacts in terms of a total system, or if they dilute a signal through growth by a population which does not exhibit the mortality in question – mortality inflections and trends will be diluted – suggesting an entirely wrong (rosy) short term result. The bad news will only show up in the data years later. Of course, this is the actual plan.
That being said, let’s now examine the various metrics of excess mortality as of week 6 of 2024.
Balance Sheet – USA Excess All Cause Mortality – 11.0%
When examining excess mortality metrics and considering them in the context of the broader summary of excess mortality, the resulting balance sheet (shown in Chart 2 below) is derived. A crucial distinction between systems analytics and mere ‘statistics’ resides in the requirement for systems dynamics to comprehensively depict an entire schema of interdependent relationships, in terms of both end-to-end agreement and coherence. Such systems engineering expertise and rigor characterizes both my academic foundation as well as my five-decade-long professional career. Such exemplifies as well the distinction between a hack or journeyman technician, versus a real scientist.
Chart 2 – Excess Mortality Weekly Balance Sheet (USA) – a summary of all forms of excess mortality, with Pull Forward Effect (PFE) taken into account. PFE must be included, because each of the Big 12 ICD codes, ranked in terms of percentage excess in the chart above (beige boxes), contains pull forward effect. The tapered impact of PFE can be observed as indicated by the red annotation in the chart. The reason that negative numbers still exist in these figures is because we have chosen a conservative PFE allocation, which is overcome by the actual PFE in those mortality codes which impact the elderly the hardest. This PFE was confirmed by the Society of Actuaries in their Covid-19 Mortality Survey Report of November 2023.
The reader should note that the CDC eliminated reporting of the Big 12 ICD categorizations (their Morbidity and Mortality Weekly Report) at the end of September 2023. This data set was useful in helping spot anomalies (‘pull forward effect’ for instance) in the rates of death in the US, and in preventing paltering and torfuscation of the baseline in order to make later years appear to have less excess death. To this end, below are the five dishonest tactics employed by fake analysts and pharmaceutical narrative science advocates:
Paltering (boosting the baseline) – crafting a baseline inflated by rolling or factored-in 2020-23 excess deaths.
Torfuscation (hiding the bodies in the bog) – failing to adjust 2021-2027 baseline downward by Pull Forward Effect (PFE).
3
Simpson Per Capita Dilution (diluting signal with non-salient ‘population growth’) – making per capita or per-100K adjustments to a signal in a subpopulation
which has had its candidate population shrink and not grow (over age 75 for example, post pandemic),
for which the population growth bracket-profile does not match the profile/death risk of the group from which the signal has been extracted (eg. immigration-influenced growth applied to ‘heart disease’, ‘cancer’, or ‘Alzheimer’s’),
for which the analysis is crafted to detect a short retrospective inflection/excess and not a generational trend,
where the growth trend line itself already reflects the rate of population growth inside its historic metric,
using population projections made prior to a black swan event (Covid-19), or
employing migrant-fueled population growth rates.
Gaussian Blindness – the warning flags of a data charlatan:
Applying linear regression analysis across an entire non-linear, depleted, or inflected data set.
Employing a linear trend line when a dynamic baseline is the professional standard for signal analysis.
Depiction by means of a ‘quashed-y’ or ‘zero-base’ chart combined with a linear regression on a high magnitude data set.
Depiction by ‘quashed-x’ or a cherry picked time axis such that an inflection is concealed behind a conveniently selected regression line and time frame, which both shows the trend desired and/or hides the signal in question.
Age-Standardized/Crude Retrospective Analysis – employing age-standardized analysis to a retrospective analysis of one nation during a black swan event, when age-standardized analysis is used for comparing metrics between nations during a normal circumstance.5
~ The Five Cheats of Covid Narrative Science
These data magic tricks are not merely unethical, but when enacted by public health authorities, are also immoral. Just as in the case of their refusal to release V-Safe data, vaccine cohort data, or spurious VAERS record disappearances, data sets effective in targeting the harm introduced by the Covid-19 mRNA vaccine are all being systematically screened from public access. These are human rights crimes.
Beware he who would deny you access to information, for in his heart, he dreams himself your master.
Accordingly, we put together a scrape which assembles the same data from Wonder, as one used to be able to obtain from the CDC Weekly MMWR Report, so that we are able to continue this tracking (that is, until they eliminate Wonder altogether and simply appeal to tyrannical authority in its absence). We also have kept a backup of the old MMWR data to show how the CDC palters the baseline in the years to come.
The following charts all feed systemically into and reconcile inside the summary balance sheet above.
USA Excess Non-Covid Natural Cause Mortality – 8.5% (4-sigma)
The beige line in the chart below shows the CDC Wonder Excess Non-Covid Natural Cause deaths per week for the two years prior, as well as years of and years post the pandemic. The dark orange baseline is normalized from the years 2014-2019, representing a 1.12% annual growth in mortality for the US in terms of all non-Covid natural causes. Just as in the case of all this specie of charts, the 6-year baseline reflects a balance between a retrospective substantial enough to provide statistical significance, but not so long as to be confounded by generational effects or immigration impacts.
Understanding the Pull Forward Effect (demarcated as ‘PFE’ in orange), represented by the reduced orange baseline observed in Chart 3 from 2021 onwards, is crucial when evaluating Excess Non-Covid Natural Cause Mortality, as well as in actuarial and epidemiological studies more broadly. This is because the combined effects of excess mortality and temporary decreases in mortality following a pandemic can offset each other, a phenomenon known as the Simpson effect, leading researchers astray. This has been evident in the analysis of the Covid-19 pandemic, where analysts have consistently arrived at incorrect conclusions about the relationship between the vaccine and excess mortality due to a lack of understanding in addressing this aspect of the data.
Understanding the Morbidity and Mortality Weekly Report for Week 14 of 2021 is crucial for grasping the dynamics of Excess Non-COVID Natural Cause Mortality. This specific week marks the period of most rapid administration of both doses of the COVID-19 vaccine. Upon analyzing numerous charts illustrating etiological and causal influences, it becomes evident that this particular date consistently emerges as a notable turning point.
4
Two prime illustrations of this vaccine inflection date impact can be observed in the US Natality Birth Weight Chart and the US Infant Not Alive at Time of Natality Report Chart. The Procedure for development of these charts can be found by clicking here.
Chart 3 – Excess Non-Covid Natural Cause Mortality (USA) – stands at 8.5% or 4,645 persons per week over the last three weeks on average. A total of 706,000 US Citizens have died primarily due to the major factor which has impacted this metric (the mRNA vaccine). This is far more than the 368,567 persons who died from the SARS-CoV-2 virus itself during the pandemic (excludes deaths from denial of treatment).
Please Note: This mortality set identified in Chart 3 is being artificially depleted by the CDC/NCHS during post-lag weeks -13 through -33. Those deaths being removed from this chart are being inserted as ‘unspecified drug overdoses’ (see Charts 4 and 4b below) and ‘climate change’ deaths inside Non-Natural Mortality. This equates to a missing 60,000 deaths falsely ascribed to overdose and climate as the underlying cause (UCoD) since March of 2021.
Perhaps the only good news to be found within Chart 3 above is the flattening in this Excess Mortality trend for most of the year 2023. However, we have documented (in Charts 3b and 8) that this is simply an impact of the pull forward effect (because of our conservative choices with regard to its metrics), so we will watch how this excess trends over the outyears in order to discern what is indeed occurring.
No Sympathetic Variance Between Excess Non-Covid Natural Cause and Covid-19 Mortality
The question therefore arises: “Is the arrival of each week’s Excess Non-Covid Natural Cause Mortality simply a case of ‘missed Covid-19 deaths’?” The answer to this question is an unequivocal ‘No’. In Chart 3b below, one can observe the progressive loss in covariance between Covid Mortality and Excess Non-Covid Natural Cause Mortality across the retrospective horizon. Basically 3 phases of covariance progression between the two metrics exist:
Significant Relationship (Mar 2020 – Jul 2020) – the timeframe wherein the two indices behaved with extreme covariance during the period before comprehensive PCR testing was in place. Indeed, during this timeframe many Covid-19 deaths were missed and not counted.
Slight to No Relationship (Aug 2020 – Mar 2022) – during this period, the relationship between the two metrics all but disappears. A slight sympathy develops as Covid begins to shift its mortality to the more traditional Nov – Feb high mortality timeframe for all death ICD codes (the scalloping shown in Chart 1 above). This creates a pseudo-trend in relationship between the two metrics (yellow dotted regression line), which is not real. In other words, this is Covid-19 Mortality becoming more conformant with natural cause death patterns (see Chart 1), than it is Excess Non-Covid Natural Cause Mortality becoming conformant with Covid-19 deaths.
No Relationship Whatsoever (Apr 2022 – now) – since the arrival of the diverse set of ‘Omicron’ variants of Covid, there has existed zero relationship between Excess Non-Covid Natural Cause Mortality and Covid-19 Mortality.
Chart 3b – Progressive Differential-Portion Covariance Test – the test is derived by taking each week’s differential mortality from the previous week (smoothed across a 7 week rolling average) and then dividing that by the overall low-to-high range of the metric across the retrospective horizon (the ‘differential-portion’). A covariance test is then applied across a rolling 24 weeks for each week of the two differential-portion retrospective horizons – which results in a rolling index of true variance relationship between the two metrics (the applied procedure links here: PDPC Test mathematical procedure).
Accordingly, there has existed little to no sympathetic statistical relationship between Excess Non-Covid Natural Cause Mortality and Covid-19 Mortality since the introduction of widespread PCR testing in mid-2020. Excess Non-Covid Natural Cause Mortality is not a case of ‘missed Covid-19 deaths’.
Pull Forward Effect (PFE)
Please note that no argument or chart in this analysis is ‘completely dependent upon’ Pull Forward Effect. PFE is an addition to the critical levels of signal and excess mortality indicated in each chart herein, constituting a mere 20 to 35% of any excess in any given MMWR week. We merely contend that, correct levels of excess mortality cannot be estimated (for any nation or ICD code) without this critical and real arrival function being taken into consideration.
5
Pull Forward Effect (PFE) – when in a given population, a large number of older citizens (in the case of Covid-19 an average age of 82 years) die to the excess in a given short timeframe, due to an exceptional cause (famine, war, pandemic, terror) – then a given set of successive years of baseline death rate for that population or any particular cause of death must be lowered by a function of that excess death for an actuarial-derived period thereafter.
The function we currently use for PFE is described by 6.6 years (345 weeks – April 2021 – Oct 2027) of Chi-squared arrival, with an anticipated x_mode (function peak) of mid-late 2023 at 6.02% of Excess Non-Covid Natural Cause Mortality. Only ~590,000 of the net 1.3 million older person deaths are claimed inside this entire PFE function. The arrival argument is depicted above in this PFE Reference and Calculation Basis Chart. We will continue to update this arrival function (as we have in the past) based upon the patterns observed inside the ten key PFE index recitations outlined in the following paragraph.
The basis of our Pull Forward Effect (PFE) calculations can be seen by examining the dip-to points in the DFT Chart (3b) below, which shows clearly the 2021-2023 shortfall trend in All Non-Covid Natural Cause Mortality for ages 75+ (-17.9% PFE). The older-citizen sensitive Alzheimer (G30) ICD mortality (-25.5% PFE), Bladder Cancer mortality (-10.1% PFE), and Dementia and Related mortality (-7.8% PFE) trends over this same period are suitable for confirming this Pull Forward Effect deficit (all 3 show trough points in April 2023). In addition, the Pull Forward Effect is corroborated by
Influenza/Pneumonia, Diabetes, and Alzheimer Mortality shortfalls (-5% to -14%) in Chart 2 above,
MMWR/Wonder data on the Primary 11 ICD Mortality codes (-5.9% in 2023),
the November 2023 Society of Actuaries Mortality Survey Report (-8% at 2023 peak in oldest age brackets), and
in the United Kingdom’s summary of Primary ICD Mortality (-20% to -27% in classic age-associated ICD codes).
Collectively, these ten benchmarks more than substantiate our 6.02% drop (at peak, mid-2023) in baseline expected for Excess Non-Covid Natural Cause Mortality (seen as the baseline adjustment in Chart 3 above, and in Chart 6 below). As a reminder, this constitutes use of ~45% (for conservancy) of the available (true) PFE shown in Chart 3b below.
Therefore, the conservancy we employ is on the order of 50 to 55%. The actual PFE is more than double that used in our models. We presume for all intents and purposes that 700,000 of these 1.3 million older-citizen Covid-19 deaths ‘would have lived forever’. Such highlights the ridiculous levels of conservancy we have gone to in order to appease pretend critics.
Chart 3b – Pull Forward Effect (PFE) Arrival Distribution – is formed by measuring the arrival function of All Non-Covid Natural Cause Mortality shortfalls by week over the period since April 2021. As one can see, the PFE arrival distribution peaks in mid 2023 at a base of -17.9%, (5.9% in the Primary 11 ICD Chart) and then begins its taper-off to an actuarial-derived 345 week arrival horizon (Average death age = 82 years, who were expected to live 6.6 more years or 345 weeks in normal circumstances – however, died early).6
The above DFT model indicates that, of the 1.6 million excess deaths to date, around 587 K of those deaths (for our purposes) happened early, or were ‘pulled forward’. This will continue to increase across a total period of 6.6 years of baseline. Our models in Charts 3 above and 6 below have only used 372,584 of these 590 K in PFE deaths as of Week 6, 2024 – so 63% of the actual PFE indexed from Chart 3b above (very conservative). The remaining persons not included in this 345-week PFE total are assumed to ‘live forever’, for purposes of conservancy. Thus, this PFE allocation is very conservative. (Please note that, while we use the arrival form of the shortfall in 75+ Non-Covid Natural Cause Mortality, we do not use the percentage magnitude. Our peak PFE used for April 2023 is 6.02% of Excess Non Covid Natural Cause Mortality (suitably confirmed by the 5.9% Primary ICD measure above), and not the 17.9% shown in Chart 3b).
6
Resulting Covid-19 Vaccine Negative Cost-Benefit Function
In terms of US county-by-county arrival of this Excess Non-Covid Natural Cause Mortality, the heaviest concentrations of this death group has been in the most highly vaccinated counties in the US. In the dynamic analysis shown in Chart 3c below, one can see that this Excess Non-Covid Natural Cause Mortality both begins solely after the rollout of the vaccine nationwide, and as well bears its heaviest impact in those counties which are most heavily vaccinated. One cannot use state level data for this because of Hope-Simpson effect during the Delta variant timeframe (a competence flag in those showing such regressions) hitting south border states most heavily. This serves to impart a misleading Yule-Simpson effect in the state level data. Only county-level data is salient.
Exhibit 3c – Excess Non-Covid Natural Cause Mortality by US County per-100K vs Percent Population Vaccinated – both initiates nationwide solely after the rollout of the vaccine (blue shot icon in Mar 2021), and as well bears its heaviest impact in those counties which are most heavily vaccinated (to the right on x-axis).
Despite this mRNA vaccine associated death quotient by US County (Exhibit 3c), the Covid-19 vaccines had no appreciable impact on Covid Mortality when analyzed by US County (Exhibit 3d below). Please note that US State level data is compromised (Yule-Simpson Effect) by Hope-Simspon Effect (seasonality by latitude for a virus) and the timing of the arrival of the Delta variant. For this reason, do not trust anyone who touts state level data.
Exhibit 3d – Covid Deaths (per 100K) by Percent of Population Vaccinated by US County – Higher vaccinated counties show lower rates of Covid Mortality. The problem is, that this taper in mortality (from denominator compression and possibly some advance immunity – not better Covid outcomes) existed long before the vaccine was ever rolled out. Therefore, the retrospective differential effect of the Covid vaccine was negligible when examining mortality.
A purported vaccine efficacy signal only showed in small sample hospitalization studies sponsored by the CDC. Lots of unvaccinated persons went to the hospital, but curiously they never showed up in the mortality totals. Statistically this is impossible. Moreover, when the CDC small study sample ratios are expanded to the entire population, the result is a severe overage in total mortality. Both of these falsifications bring the CDC Covid-19 Response, Epidemiology Task Force study integrity into question.
USA Excess Non-Natural Mortality – 18.5%
The beige line in the chart below shows the CDC Wonder Excess Non-Natural Cause deaths per week for the two years prior, as well as years-of and years-post the pandemic. The dotted baseline is normalized from the years 2014-2019, and comprises a 1.42% annual growth in mortality for the US in terms non-natural causes. This reflects excess mortality from unsound lockdown and open border practices, in terms of suicide, addiction, assault, accidents, abandonment, and despair (SAAAAD). Disruption (loss of access to medical services or medications) deaths are now included inside iatrogenic and denial of treatment tallies (medical mistakes).
Chart 4 – Excess Non-Natural Mortality (USA) – stands at 18.5% or 930 persons per week over the last seven weeks on average. A total of 176,870 persons have died to date as a result of our policies selected and enforced during the early pandemic.
It is our hope that the downward trend in this metric since mid-2021 continues until this mortality recovers its baseline. The sudden jump which occurred in mid-late 2023 is something we are watching. Just shy of half of this sudden jump is from spurious climate related heat attributions.
7
However, it is also important to note that many of the excess deaths being attributed to Non-Natural Causes above, are actually from vaccine-induced myocarditis. The proof of this can be seen in DFT Chart 4b below.
As can be ascertained from this chart, there exists absolutely no doubt concerning the relationship between the vaccine and excess death. The most impactful influence upon ‘unspecified drug overdose’ and ‘climate change’ mortality in younger persons, is the introduction of the Covid-19 vaccine. This is also confirmed by the Sudden Cardiac Death Mortality for ages 0-54 shown in Chart 10.
Chart 4b – Excess Mortality from Overdose from Unspecified Drug and Climate Change – Yes, the combination of lockdowns and Covid-19 resulted in a temporary increase in undetermined drug overdoses. However, this is not ‘trend’ data. The trend begins at the end of 2020 with the introduction of the vaccine (which peaks the very week of vaccine maximum uptake). Vaccine-induced myocarditis rendered this population vulnerable to sudden cardiac death – which was then falsely attributed to drug overdose. This excess attribution, as of Week 25 2023, is in the range of 300 deaths per week, for ‘unspecified drug’ and ‘climate’. This tally is added back into the Sudden Cardiac Death mortality totals show in DFT Chart 10 below. It suggests an alarming increase in young person Sudden Cardiac Death.
USA Excess Cancer Mortality – 5.4% (10-sigma) with Novel 2.4% CAGR
The green-to-red line in Chart 5 below shows the CDC Wonder Excess Attributions of underlying cause of death Cancer to multiple cause of death Cancer, per week for the two years prior, as well as years-of and years-post the pandemic. The dotted baseline is normalized from the years 2018-2019, and indexed to the last 7 week average as compared to those same 7 weeks of 2018/19, so it is not a ‘regression’. Since this is a relative index, it should exhibit no trend or growth rate (outside the context of Covid mortality peak periods of course). The current excess of 300 deaths reflects cancer deaths which are concealed from the underlying cause of death ICD code, and must be added back into the mix in order to make Excess Cancer Mortality comparable to its past baseline. We reconcile this into Chart 6 below, applying it only after the pandemic period ended.
Chart 5 – Cancer Concealment by Excess MCOD Attribution – stands at 300 concealed cancer deaths per week. In this practice, cancers are moved from the underlying cause of death line in Part I of the death certificate, to one of the multiple cause of death lines above the UCoD line, in excess of past practice. Once Covid has abated, this balance should trend back to zero. It has not. Therefore, in order to capture the true cancer mortality increase, these cancer deaths falsely attributed to Covid and other underlying causes must be added back into the total in the Excess Cancer Mortality chart below. These missing deaths are phased back in from Week 10 of 2022 (point of large decline in Covid mortality) onward.
When done correctly and ethically, cancer shows a clear inflection in growth rate at Week 14 of 2021 – the week of fastest uptake in the mRNA vaccine within the US population (as can be seen in Chart 6 below). In fact, every single chart we have run which depicts an excess mortality currently underway (not all of them do this), indicate this same inflection point of Week 14 of 2021.
This is unequivocal – the vaccine is causing excess death, and likely 95% of all of our Excess Non-Covid Natural Cause Mortality, 706,000 shown in Chart 3 above.
Moreover, cancer is a hard ship to turn; but once turned, will not come back to normal for perhaps decades. I contend that the outyear numbers will show that we have made, very possibly, a horrible mistake. Time will tell, but will also only whisper to those who bother to watch. I guarantee you that the smarter-than-thou among us, will not watch at all. Take this as a hint as to their agency and integrity. Nothing they proffer is honest – everything a rhetorical deflection and nothing more.
8
Chart 6 – Excess Cancer Mortality (USA) – stands at 5.4% or 665 persons per week over the last three weeks on average. More alarmingly however, is the novel compound annualized growth rate (CAGR) of 2.4%, a significant departure from the old growth rate of 0.23%, normalized from the years 2014-2019 (dark orange line). This chart is expertly adjusted for reporting lag (procedure here), Pull Forward Effect (345 week PFE method is depicted in Charts 3b and 6), and excess MCoD attributions (critical data mining method depicted in Chart 5 above). In other words it is showing the true cancer UCoD rate (shorted by pressure on physicians to not report cancers unless ‘proven’ by multiple tests). Despite all these shorts in the data collection, the raw data still shows a rise – which can be seen by clicking here.
Confirmation of Cancer Underlying Cause of Death (UCoD) Shorting
In corroboration of this alarming set of indices with regard to Cancer, is the constant dollar rise in expenditures for cancer treatment within the United States as of end-of-month January 2024. The rise in Producer Price Index-Neoplasm Treatment highlighted in Chart 7 below is adjusted for both inflation as well as its Medical Care Service (MCS) group price escalations (commensurate with CARES Act). The actual raw BLS figures show an even more aggressive increase than the 11.7% 14.6% indicated on top left hand side of Chart 7 below.
As well, this has been corroborated by other systems professionals replicating this same work.9
January 2024 Bureau of Labor Statistics revision raised last four posted months, and posts record for January 2024 – elevating excess cancer treatment real dollar growth (inflation and pricing adjusted) from 11.7% to 14.6% in just one month.
Chart 7 – Excess PPI-Neoplasms Treatment Expenditures (USA) – US Citizens have non-linearly increased their real-dollar expenditures for all forms of cancer treatment since 6-months post the Week 14 2021 vaccine uptake inflection week. This six month lag in effect matches the same lag in effect which showed for cancer in the VAERS reports regarding reported adverse event tumor appearances.
This stark rise in cancer treatment expenditures is corroborated by both the skyrocketing 2022/23 sales in cancer treatment drugs all across the board (save for sunsetting-lifecycle names), as well as the American Cancer Society’s Annual ‘Cancer Facts & Figures’ Report, which tracks cancer incidence by means of cases. The latter report (2024 is projected at the link provided) shows a clear 12.7% novel excess in cancer cases for both 2023 and projected 2024 (9.2% without Pull Forward Effect), along with an increase of the cancer case growth rate from 1% to 2.7% CAGR (not influenced by PFE). These are depicted in Chart 7b below.
The rise in cancer in unequivocal.
Chart 7b – American Cancer Society Cancer Facts & Figures by Year (with Cancer statistics, 2024 projection) – clearly shows a 12.7% excess cancer diagnosis rate, along with a novel 2.7% compounded annualized growth rate. The 2.5-sigma jump in cases immediately following the vaccine rollout is significant.
Little of this excess cancer is attributable to the ad hoc rescue of ‘a deferral in cancer screening appointments’, as cancer rates have soared in younger ages (see Chart 11), the biggest cancers dropped in incidence (by Pull Forward Effect), while at the same time the diversity of cancer mix, as well as a 2022 spike in incidence of rare and secondary cancers, collectively serve to belie this notion.
USA Abnormal Clinical and Lab Findings Excess Mortality – 64%
The beige line in the chart below shows the CDC Wonder Abnormal Clinical and Lab Findings deaths per week for the four years prior, as well as latest year of the pandemic. The dotted baseline is normalized from the years 2014-2022, and ends with a pronounced (normal condition) hockey stick formation in the last 33 weeks of the timeframe depicted. The excess above this dotted line reflects excess mortality of uncertain cause (ICD code R99 in particular). As depicted in Chart 8 below, to date this comprises 39,800 concealed deaths.
9
As the astute analyst will notice, the peak weekly figure for Week 4 of 2024 had exceeded the old peak for Week 2 of 2023 (4,711 vs 4,604). Since this metric is also an excellent predictor of Excess Non-Covid Natural Cause Mortality (Chart 3 above), we are able to infer that the flattening from 2022 into 2023 observed in Chart 3 is due primarily to Pull Forward Effect (PFE) and does not originate from a genuine reduction in vaccine-related deaths.
New Record Established = 4,711 deaths at peak hold period for 27 Jan 2024
Chart 8 – Abnormal Clinical and Lab Findings Excess Mortality (USA) – stands at 64% elevated versus historical standard. This represents the largest component (38.0%) of the Excess Non-Covid Natural Cause Mortality weekly total (shown in Charts 2 and 3 above) – deaths of unknown cause or abnormal findings in younger persons.
These deaths are broken out by type, in Chart 9 below. They comprise heavily, sudden, cardiac and circulatory deaths, as well as diseases of the respiratory system and cancers. The average age of this mortality cohort is 49 years old. These are not old people dying of Covid-19 nor Long Covid, they are dying from the mRNA vaccine – as it is clear that this excess began with the rollout of the vaccine in December 2020, as shown in Chart 8 above.
Chart 9 – Breakout of Suspended (Not Counted) Abnormal Clinical and Lab Findings Excess Mortality (USA) – these deaths are not counted in their final ICD codes just yet. Accordingly, they serve to deplete the ICD codes for sudden cardiac, respiratory, and cancer underlying causes of death. This is a significant problem for even a systems analyst and is one principal reason why actuarial groups did not pick up on the excess death until November 2023 – but we found this and now accommodate these in the Excess Non-Covid Natural Cause Mortality total each week. This, along with the Pull Forward Effect (PFE) is why we were the first analyst to detect the Non-Covid excess mortality, before even actuaries, epidemiologists, and health agencies.
Before we broach the topic of our Deviation from Trend charts, it is helpful to remember that each of these charts feeds into the Chart 2 ‘Balance Sheet’ above – some charts show increases and inflections, other charts show nothing and/or decreases. Regardless, they do not constitute stand-alone conjecture. If one adjusts the parameters of these charts, then they lose agreement with the overall Balance Sheet depicted in Chart 2 above – and suddenly we have Covid or its mRNA vaccine fictitiously curing a whole host of diseases. One cannot tweak the analytics by means of stand-alone, trivial, or rhetorical critique – because they miss this type of inconsistency.
Every disagreement one brings to the table must be accountable to fit coherently inside the entire model – or it is merely an attempt to deflect, deceive, or push an uninformed opinion, and nothing more.
The following Deviation from Trend (DFT) charts, outlined in Charts 10, 11, and 12 below, are developed according to the linked Deviation from Trend Plot Procedure.
USA Sudden Cardiac Death Excess Mortality Ages 0-54 – 63.1% (29-sigma)
The blue line in the Deviation from Trend (DFT) chart below (Chart 10) shows the CDC Wonder Sudden Cardiac Death Mortality per week for the two years prior, as well as four years of the pandemic, for the age 0 to 54 bracket. The dotted baseline is normalized from the years 2014-2019, eroded by Pull Forward Effect (PFE). As do many of the charts of this type (not in unaffected ICD sub-groups however), an inflection occurs at Week 14 of 2021. This is the impact of the mRNA vaccine. Note that we have redacted the final 25 weeks of this chart because that timeframe contains RXX ICD codes which artificially escalate in the final weeks (see Chart 8). So for conservancy’s sake we exclude these weeks from the analysis.
One should note that the mortality measured within this chart is not mortality related to aging-related heart disease. That grouping of ICD code mortality is actually down significantly (-28.3%). Do not let anyone equivocate between aging-related heart disease and sudden cardiac deaths in younger persons. In the latter we have a pronounced problem, which can be concealed by blending it with the PFE-impacted former. We caught the CDC using this trick in November 2023.
Note that this chart now includes ~300 ICD-X44 sudden cardiac deaths from casual drug use per week as of late 2023 (cited in Chart 4b). Note that this addition does not include fentanyl overdoses. Finally, note that the ‘climate change (X30)’ deaths only came into significant play around week 27 of 2023, so we are merely highlighting that for future watching.
10
Chart 10 – Sudden Cardiac Death Mortality Ages 0-54 (USA) – as of week 34 of 2023 (must avoid the R99 and 999 periods as they are misleadingly high) stands at 63.1% elevated versus historic trend. This is an alarming 29-sigma excess. This is mitigated (concealed) by the severe pull forward effect in ICD codes for traditional heart disease (which is currently 28.3% lower than baseline because of a strong pull forward effect). When weight-averaged together, this results in the 4.3% elevated ‘Diseases of Heart’ ICD code group in Chart 2 above. The PFE is in essence, serving to conceal the alarming excess cardiac death (shown above) in our younger age (0-54) cohorts.
It is important to note that the Sudden Cardiac Death Mortality (without excess ‘unspecified drug (X44) and climate deaths (X30)) arrival curve depicted in Chart 10 above was confirmed, as to inflection, excess, and trend, by the Society of Actuaries in their Covid-19 Mortality Survey Report of November 2023. The full report can be accessed by clicking here.
USA Cancer Excess Mortality Ages 0-54 – 24.9% (12-sigma)
The blue line in the Deviation from Trend (DFT) chart below (Chart 11) shows the CDC Wonder Excess Cancer Mortality per week for the two years prior, as well as four years of the pandemic, for the age 0 to 54 bracket. The dotted baseline is normalized from the years 2014-2019, eroded by Pull Forward Effect (PFE). As in many of the charts of this type (not in unaffected ICD sub-groups however), an inflection occurs at Week 14 of 2021. This is the impact of the mRNA vaccine. The soft increase which occurs in 2020 is dry tinder. These are individuals who died a couple weeks or months early, and as such, this data does not constitute actual trend data – unlike the data from 2021 and onward, which exhibits a strong and unqualified trend in this cancer mortality metric.
This has been corroborated by other systems professionals replicating this same work.10
Chart 11 – Cancer Excess Mortality Ages 0-54 (USA) – stands at 24.9% elevated versus historic trend. This is a 12-sigma event. This is obfuscated (concealed) by the severe dry tinder surge in cancers for older age groups, as well as the subsequent years heavily-depleted by early Covid-19 deaths (PFE). When weight-averaged together, this results in the 5.9% elevated ‘Malignant Neoplasms’ ICD code group in Chart 2 above. The PFE in older age brackets is in essence, serving to conceal the alarming excess cancer death rate (shown above) in our younger age (0-54) cohorts.
One possibly significant good news to note is that the growth in cancers for this younger age group has abated for the majority of 2023, wherein the metric has returned to its pre-2020 trend line. We will continue to monitor where this heads over the outyears.
USA All Non-Covid Natural Causes Excess Mortality Ages 0-24 – 25.5% (7-sigma)
The blue line in the Deviation from Trend (DFT) chart below (Chart 12) shows the CDC Wonder All Non-Covid Excess Natural Cause Mortality per week for the two years prior, as well as four years of the pandemic, for the age 0 to 24 bracket. The dotted baseline is normalized from the years 2018-2019, mildly eroded by Pull Forward Effect (PFE – does not impact younger ages as hard). As in many of the charts of this type, an inflection clearly occurs at Week 14 of 2021. Just as in Chart 11 above, this too is the impact of the mRNA vaccine.
Chart 12 – All Non-Covid Natural Causes Excess Mortality Ages 0-24 (USA) – stands at 25.5% elevated versus historic trend. This is a 7-sigma event. This is obfuscated (concealed) by the Covid-19 deaths during 2021 in older age groups; however, becomes clear when this age bracket is broken out separately. This metric is both alarming and condemning as regards the Covid-19 mRNA vaccine.
In similar fashion to Chart 10, we have chosen to exclude the final 25 weeks of this chart as well. These weeks include contribution from R99 mortality, which causes an artificial inflation of deaths during this period. As we observed in Chart 11 above, much of 2023 has been characterized by a return to the pre-2020 trend. We hope that this continues, but will monitor as we proceed forward.
11
Nonetheless, it is clear that we have a problem, and that problem is the Covid-19 mRNA vaccine. This serves to broach the question, just how deadly have the vaccine, along with all our other panic-fueled mistakes, indeed been? We answer that question in Chart 13 below.
USA Full Covid-19 Mortality Accountability – 1,257,300 Manmade US Deaths
The chart below shows the total impact of our poor decision making as a society, in terms of total mortality, and compares that mortality to the various wars and conflicts our nation has suffered. Of key note inside this death tally are the 706,036 deaths inside the Vaccine/Sudden/Long Covid tally. 95% of this metric resulted from the impact of the mRNA vaccine itself, with the remaining 5% attributable to primarily Long Covid.
Speaking with an actuary (40 years experience) at one of the largest insurance companies in the world saying the Mortality Statistics are being dramatically underreported and the actual numbers could be 10 times higher. The number of deaths by drug overdoses, suicides, homicides, traffic accidents, aggressive cancers (including colon cancers as young as 15), blood clots, myocarditis, enlarged hearts, strokes have dramatically increased since 2022.
~ Tony Seruga, Boardmember at Greenlaw Capital
Chart 13 – Full Covid-19 Mortality Accountability – Manmade US Deaths (USA) – stands at 1,257,300 excess deaths. This is obfuscated (concealed) by the Covid-19 deaths during the whole pandemic, as well as the pull forward effect inside older age brackets. This metric is also both alarming and condemning as regards the impact of lockdowns, denial of treatment (prior to hospitalization), and finally of course, the Covid-19 mRNA vaccine.
Such is the state of things pandemic, week 6 of 2024, our 206th week of the SARS-CoV-2 Pandemic in the United States.
LLL
The Ethical Skeptic, “The State of Things Pandemic”; The Ethical Skeptic, WordPress, 11 Dec 2023; Web, https://theethicalskeptic.com/?p=77176
Vaccine 21 U.S. Code § 360bbb–3(c) Emergency Use Authorization forbade the availability of treatment outside a hospitalization context
see Influenza & Pneumonia (J09-J18) chart
Chat GPT-4: the terms “crude mortality rate” and “age-standardized mortality rate” are typically used for comparing death rates between countries under normal circumstances. These metrics may not be the most appropriate or informative when analyzing the impact of an unprecedented event within a single nation, as they can obscure the specific nuances and impacts of such an event.
When individuals express disagreement with the parameters or approaches I utilize in my models, it’s important to note that they enjoy the luxury of not having to substantiate their one-off contentions through the accountability of a coherent system in its entirety. This is exemplified in part by the ‘Balance Sheet’ in Chart 2 and the Deviation from Trend (DFT) inflections depicted in Charts 10 through 12 below – which all feed into a single coherent system involving thousands of hours in its development. I tend to be cynical regarding most disagreements from amateurs or even medical professionals, because these unqualified objections tend to be unaccountable, conducted in isolation, and serve to introduce incoherence into the overall model. Yet their proponent is conveniently and lazily unaware of this. They never circle back to see if their past claims were confirmed – rarely they do they turn out so. One can observe examples of egregious forms of fraud I caught inside this X-post thread or this X-post reply on the part of fake analysts promoting a pharma agenda.
A humorous example of this form of Simpson effect can be seen by clicking here. What becomes clear in this mock chart, is that if we employ the parameters which force sudden cardiac (Chart 10), cerebrovascular, and cancer mortality (Chart 6) to reattain baseline (as the pretenders insist is the reality) – and apply those same constraints to all the ICD-code DFT infeed charts in my system, suddenly we find that we have cured 23% of all human disease across 2.6 years. As it turns out, the constraints the pretenders want me to use, don’t work at all. They just operate under the luxury of not having to account for their unsound demands.
12
All the trolls had to do was wait, and see if my models proved correct. They did prove correct. But when you are spinning deception, you must declare truth early, often, and loudly. This is the heart of Narrative Science. Real credibility is earned by engaging in the meticulous and intensive work entailed in describing a system, not in running stand-alone stats, deceptive linear regression graphs, or academic poseur heuristics.
For instance, making the baseless or linear-extrapolated and lagged claim ‘There is no increase in cancer mortality’, in a vacuum, and not even knowing what an ‘MCoD’ or ‘Spring Lull’ is, constitutes an act of appeal-to-ignorance deception. So much more than pablum is required from these claimants – and no matter how much they scream and insist, they are still wrong (see Excess Cancer Mortality in Charts 5 and 6 below). In the realm of systems analysis, adherence to such a professional standard is paramount, and I make no apologies for upholding it.
ChatGPT-4: The terms “crude mortality rate” and “age-standardized mortality rate” are typically used for comparing death rates between countries in normal circumstances. These metrics are not informative regarding an unprecedented event within a single nation, as they serve to obscure the impact of such an event.
Senior Living: Life Expectancy Calculator; https://www.seniorliving.org/research/life-expectancy/calculator/
Senior Living: Life Expectancy Calculator; https://www.seniorliving.org/research/life-expectancy/calculator/
Senior Living: Life Expectancy Calculator; https://www.seniorliving.org/research/life-expectancy/calculator/
https://x.com/OS51388957/status/1750927706089291793?s=20
https://x.com/OS51388957/status/1750927706089291793?s=20
end
flashback:
William and Kate at a gala dinner for children's charity….where there's a lizard man hanging from the ceiling eating a Baby Lamb
2024 Leap year
Feb 29 to April 8 is 40 days.
Eclipse passes through 8 Ninevehs in North America on April 8
Jonah 3:4
And Jonah began to enter into the city a day's journey, and he cried, and said, Yet forty days, and Nineveh shall be overthrown.
"On April 8th, The Great American Eclipse Of 2024 Will Cross Over 7 U.S. Locations Named “Ninevah”
Ninevah (Modern day Mosul, Iraq) was the ancient capital of Assyria. It was destroyed (from May to August - 612 B.C.) by flood, and invading foreign armies. Sound familiar?
By Michael Snyder
I am going to share something truly amazing with you in this article, and once again a lot of naysayers out there will dismiss it as a “coincidence” that really doesn’t mean anything. But how is it possible that such a vast number of “coincidences” just happen to take place in April 2024? Last Friday, I told my core supporters about an amazing discovery regarding how the sun, the moon, and the seven other planets in our solar system will be aligned during the Great American Eclipse on April 8th. In this article, I am going to focus on seven specific locations that are named “Ninevah” which just happen to fall within the path of the Great American Eclipse on April 8th.
Let me start by going back almost 7 years.
On August 21st, 2017 the first Great American Eclipse made headlines all over the nation.
It was also known as “the Seven Salem Eclipse” because the path of that eclipse crossed over seven U.S. locations named “Salem”…
-Salem, Oregon
-Salem, Idaho
-Salem, Wyoming
-Salem, Nebraska
-Salem, Missouri
-Salem, Kentucky
-Salem, South Carolina
Salem is short for “Jerusalem”, and that is why so many early Americans chose that name for their communities.
Now the second Great American Eclipse is almost here, and the path of that eclipse will cross over seven U.S. locations named
“Ninevah”…
-Nineveh, Texas
-Nineveh, Missouri
-Nineveh, Indiana
-Nineveh, Ohio
-Nineveh, Pennsylvania
-Nineveh, Virginia
-Nineveh, New York
The eclipse will also cross over a location named “Ninevah” in the province of Nova Scotia in Canada.
So that is why you sometimes see lists of “8 Ninevahs” on social media.
In some of these locations residents will be able to view a total solar eclipse, and in others only a partial solar eclipse will be able to be viewed.
So what do we know about Ninevah?
Well, Genesis chapter 10 tells us that Ninevah was built by Nimrod, and I think that is very noteworthy.
In addition, Wikipedia tells us that the path of the Bur-Sagale eclipse crossed over Ninevah on June 15th, 763 BC…
The Assyrian eclipse, also known as the Bur-Sagale eclipse, is a solar eclipse recorded in Assyrian eponym lists that most likely dates to the tenth year of the reign of king Ashur-dan III. The eclipse is identified with the one that occurred on 15 June 763 BC in the proleptic Julian calendar.
Some believe that the Bur-Sagale eclipse happened at the same time that Jonah was in Ninevah warning the population that the city would be destroyed…
The Bur-Sagale eclipse occurred over the Assyrian capital city of Nineveh in the middle of the reign of Jeroboam II, who ruled Israel from 786 to 746 B.C. According to 2 Kings 14:25, the prophet Jonah lived and prophesied in Jeroboam’s reign. The biblical scholar Donald Wiseman has speculated that the eclipse took place around when Jonah arrived in Nineveh and urged the people to repent, otherwise the city would be destroyed. This would explain the dramatic repentance of the people of Nineveh as described in the Book of Jonah. Ancient cultures, including Assyria, viewed eclipses as omens of imminent destruction, and the empire was in chaos at this time, struggling with revolts, famines and two separate outbreaks of plague.
I can understand how the appearance of such an eclipse could have been seen as strong confirmation of Jonah’s message to the people of Ninevah.
Now a historic solar eclipse of our own is here.
But instead of crossing over just one “Ninevah”, our solar eclipse will be crossing over seven “Ninevahs”.
It is being reported that the Great American Eclipse of 2024 will be the most viewed astronomical event in all of U.S. history.
Interestingly, out of more than 19,000 cities, towns and villages in the United States, the very first community in the U.S. that the path of the eclipse will touch will be Eagle Pass, Texas.
Of course Eagle Pass, Texas has become “ground zero” of the national immigration crisis…
p1
Residents in a border city in Texas have revealed how police and National Guard troops have taken over – seizing their properties as migrants’ trash lines the streets.
Eagle Pass, which is home to 28,500 Texans, has become the ground zero in the country-wide political fight, as swathes of lawmakers, celebrities and journalists flock to give their two cents on the ever-swelling migrant border crisis.
Illegal migrants crossing has overwhelmed nearly every sector in Eagle Pass – but state and federal responses have too, weary residents say. The Del Rio sector, including Eagle Pass, reported 16,718 migrant arrests in January.
The issue has become exacerbated under Joe Biden – and the southern border has witnessed a record of at least 6.3 million migrants crossing since he took office.
Just another “coincidence”, eh?
There is one more thing about the month of April that I wanted to mention.
In late April, billions of 13-year cicadas and billions of 17-year cicadas will start emerging from the ground simultaneously for the first time since Thomas Jefferson was president…
This spring, two different broods of cicadas — one that lives on a 13-year cycle and the other that lives on a 17-year cycle — will emerge at the same time from underground in a rare, synchronized event that last occurred in 1803.
Billions of the winged insects will make an appearance across the Midwest and the Southeast, beginning in some places in late April, for a raucous mating ritual that tends to inspire fascination and annoyance in equal measure.
This year’s dual emergence is a once-in-a-lifetime event. While any given 13-year brood and 17-year brood can occasionally emerge at the same time, each specific pair will see their cycles aligned only once every 221 years. What’s more, this year’s cicada groups, known as Brood XIII and Brood XIX, happened to make their homes adjacent to one another, with a narrow overlap in central Illinois.
A narrow overlap in central Illinois?
That is odd, because the path of the Great American Eclipse of 2017 and the path of the Great American Eclipse of 2024 just happen to intersect in Illinois.
A giant “X” over America is being formed by the paths of those two eclipses, and that giant “X” will finally be completed on April 8th.
There is so much more about these two eclipses in my most recent book entitled “Chaos”. But as I stated there, I am not anticipating that any particular event will happen on April 8th.
Rather, I believe that what we will witness on April 8th is a sign and a warning for the entire nation.
Just like the city of Ninevah in the ancient world, we are being given an opportunity to change direction.
Will we take advantage of that opportunity, or will we ignore it?"
2 of 2
Marty Bent
@MartyBent
I think it's time to have a serious conversation about whether or not the people controlling Biden are employing a Cloward-Piven strategy against the country.
9:59 PM · Feb 20, 2024
·
https://twitter.com/MartyBent/status/1760152229212819681
2-3 more days of potential earth effecting flaring from this one
https://www.spaceweather.com/images2024/22feb24/hmi1898.gif
>your conclusions on a LIFE ENDING event
who said that?
this is a cyclical occurrence that humans always survive through, lest we would not be having this conversation.