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Supplementary Information for "A Critical Review of CDC USA Data on Covid-19" by J. DeMeo - Updated 27 August 2021

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Abstract

Supplementary Information for "A Critical Review of CDC USA Data on Covid-19" by J. DeMeo - Updated 27 August 2021
!
"!
SUPPLEMENTAL*INFORMATION*for*
!
A Critical Review of CDC USA Data on Covid-19:
PCR/Antigen Tests & Cases Reveal Herd Immunity Only,
and Do Not Warrant Public Hysteria or Lockdowns
https://www.researchgate.net/publication/348550612
https://www.researchgate.net/publication/348894789_Supplementary
James DeMeo, PhD
To get on Dr. DeMeo's Occasional Newsletter mailing list:
https://lp.constantcontactpages.com/su/hozrK9M
Last Update on 27 August 2021.
Newer material added at the Top.
!
For*updated*facts*about*Covid>19,*for*protecting*your*health*during*this*crisis*of*
mass*hysteria,*lockdowns,*medical*ignorance*and*arrogance,*review*these*links:**
America's*Front/Line*Doctors!!#$$%&'(()))*+,-./0+&1.23$4/3-520$2.&*02,!
Association*of*American*Physicians*and*Surgeons**#$$%'(()))*++%&234/3-*2.6!!!*
Children's*Health*Defense*!#$$%'((0#/45.-3&#-+4$#5-1-3&-*2.6!
CoviLeaks!!#$$%&'((027/4-+8&*02*98!
Doctors*for*Covid*Ethics!!#$$%&'((520$2.&:027/5-$#/0&*,-5/9,*02,*
The*Great*Barrington*(Doctors*and*Scientists)*Declaration!!#$$%&'((6;5-04+.+$/23*2.6!
Green*Med*Info**#$$%'(()))*6.--3,-5/312*02,*
Lockdown*Sceptics*!#$$%&'((420852)3&0-%$/0&*2.6!
Reclaim*the*Net,*Opposing*Online*Censorship!!#$$%'((.-04+/,$#-3-$*2.6!
World*Doctors*Alliance*!#$$%&'(()2.45520$2.&+44/+30-*02,(!
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Note*from*James*DeMeo,*PhD*
</30-!$#-!%9;4/0+$/23!21!,=!2./6/3+4!.-&-+.0#!%+%-.!+&!+!>?@A52)342+5B!$#-!+,293$!21!3-)!
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Covid'19:!A!Pandemic!of!Ignorance,!Fear,!Hysteria!
and!"Official!Truth"!Lies:!!An!independent!scientific!
review!fails!to!confirm!the!central!claims!of!the!CDC,!
WHO,!NIH,!FDA,!alarmist!media!and!political!
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_____________________________________________________________________!
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Here*is*a*list*of*articles*on*the*pathology*of*forced*lockdowns,*masking,*distancing,*
plus*added*material*from*published*science*research*papers*and*news*reports*
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!
****************
13 Feb. 2021: Deliberate Conflation of Influenza with Covid-19?
Two figures below come from the CDC "Flu-View" website, week 13, April 6th, 2021.
https://www.cdc.gov/flu/weekly/index.htm#S13 This statement comes from the same CDC
website:
!
O!
Now look at the graphic below, comparing influenza numbers for the 2020-2021 winter season,
compared to prior winter influenza seasons.
The red triangles are influenza for 2020-2021. Where did the influenza go, if not by re-definition
into Covid-19? And how many other diseases and disorders were also magically transformed
into Covid-19? https://www.cdc.gov/flu/weekly/weeklyarchives2020-2021/ILI13.html
Related:
19 Feb 2021: Calling BS on the alleged drop in flu cases from 400,000 last season to 165 this
season
https://noqreport.com/2021/02/19/calling-bs-on-the-alleged-drop-in-flu-cases-from-400000-last-
season-to-165-this-season/
29 April 2020: Against the Corona-Panic, Pt. VI: Where has the “regular flu” gone? The
CDC reports unprecedented crash in influenza-positives, raising questions
https://hailtoyou.wordpress.com/2020/04/29/against-the-corona-panic-pt-vi-where-has-the-
regular-flu-gone-the-cdc-reports-unprecedented-crash-in-non-covid-flu-positives-raising-
questions/
****************
!
G!
6 Feb. 2021: Regarding the Raw Data used in my Tables
I used two main sources of data, the American CDC via its website reports, and the Our World in
Data (OWID) website reports, which got their data from the European CDC, who in turn got
theirs from the American CDC. There always was a divergence between the CDC data and what
was found in the OWID data. CDC's numbers on "cases" and "deaths" include determinations
from both clinical diagnoses and laboratory PCR/Antigen testing. This is clear by their
statement near the bottom of the CDC's "Weekly Updates" website:
"COVID-19 deaths are identified using a new ICD–10 code. When COVID-19 is reported
as a cause of death – or when it is listed as a “probable” or “presumed” cause — the death is
coded as U07.1. This can include cases with or without laboratory confirmation"
https://www.cdc.gov/nchs/nvss/vsrr/covid_weekly/index.htm
The OWID data as I accessed it starting around August 2020, with an eye towards serious
investigation, indicated at their data page for the USA, a reliance upon laboratory confirmed
cases and deaths only. That information was contained on a critical OWID USA tracking
webpage, with a banner at the top stating:
"Daily confirmed COVID-19 cases and deaths, United States
The confirmed counts shown here are lower than the total counts. The main reason for this is
limited testing and challenges in the attribution of the cause of death."
https://ourworldindata.org/grapher/daily-covid-cases-deaths?time=2020-01-
01..latest&country=~USA
On another OWID webpage is the statement:
"No country knows the total number of people infected with COVID-19. All we know is the
infection status of those who have been tested. All those who have a lab-confirmed infection
are counted as confirmed cases. This means that the counts of confirmed cases depend on
how much a country actually tests. Without testing there is no data."
https://ourworldindata.org/coronavirus-testing - different-types-of-tests-for-covid-19
The italic emphasis in the above quote is in the original, suggesting a frustration at the OWID
organization with a somewhat chaotic and subjectivity in CDC reporting
It is also clear that the CDC only began to make public reports on Covid-19 and all-cause deaths
after May 1, 2020. And it has always been the case, to my knowledge, that the CDC, European
CDC, John Hopkins and OWID data were identified as "provisional", as I do in my use of those
data. This is made very clear on the most commonly-used CDC website for data tracking:
" Weekly Updates by Select Demographic and Geographic Characteristics
Provisional Death Counts for Coronavirus Disease 2019 (COVID-19)
... Note: Provisional death counts are based on death certificate data received and coded by
the National Center for Health Statistics as of December 30, 2020. Death counts are delayed
!
and may differ from other published sources (see Technical
Notes)."https://www.cdc.gov/nchs/nvss/vsrr/covid_weekly/index.htm
In my opinion, while the OWID data is also "provisional", it is more consistent having used, as
best they could, lab-confirmed case/death data only. The CDC chose to mix up the more
subjective clinical diagnoses with lab-tested determinations for Covid-19. While lab-testing
gives the impression of a more "solid" and firm determination, as discussed in my paper, the
PCR and antigen tests are in fact riddled with errors. Nevertheless, this is a reason why the
OWID data for the USA is generally lower in counts than the CDC's USA data.
An additional problem is, the OWID data I accessed, mostly in graphical form, is updated on a
daily basis, while CDC aggregates and reports their data on a weekly basis, an issue which
caused puzzling complications for tracking their data, about which I shall discuss momentarily.
On November 30, the OWID changed their American data source to the John Hopkin's
University Daily Dataset. This was because the European CDC, mirroring the American CDC,
switched to weekly reporting. https://ourworldindata.org/covid-data-switch-jhu
Regarding my Data Tables
The Covid-19 and All-Cause deaths data sources for my tables were almost entirely from the
CDC's various websites. My original article was written over Nov/Dec. 2020, using the CDC's
provisional data reports for 19 Dec. and 26, Dec. of 2020, and 2 January 2021. The two CDC
December data counts excluded January of 2020, as that was prior to the reports of claimed
Covid-19 infections and deaths. It was appropriate for the CDC to exclude the January 2020
from the all-cause deaths of 2020, so long as a comparative analysis was being made to Covid-19
deaths. The CDC also should have excluded February as well, given how only around 20
questionable and possibly retroactively-diagnosed Covid-19 deaths occurred over both January
and February of 2020. Covid-19 deaths registered in higher numbers only in March 2020.
However, in the context of evaluations for the virulence and deaths attributed to Covid-19, it was
doubly inappropriate for those same January 2020 all-cause deaths to be added back in to their
comparative Covid-19 calculations at the end of the year, for the same reason they were
originally excluded. A proper analysis required both data streams, for Covid-19 and all-cause
deaths, to be recorded in a parallel manner along the same time-line, without adding in data prior
to the presumed onset of the pandemic.
Another problem was how a large number of all-cause deaths were questionably included in the
CDC's year-end data, around 269,000 deaths, with an additional questionable number of Covid-
19 deaths, around 89,000, raising the death tolls from the CDCs reported number of 313,171 for
2020 in total, to an inexplicable and "too neat" round number of 400,000 – a sum which was
screamed from newspaper headlines and other media, all around the world.
Additional data irregularities were further exposed in my tables which segregated the 2020
Covid-19 and all-cause deaths into age-group subdivisions, using CDC "Weekly Index" data as
reported for the periods ending on 26 Dec.2020 and 2 Jan. 2021. A statement on that same CDC
webpage was added later in January, after my original paper had been informally circulating for
a couple of weeks, and perhaps in response to it.
!
"As of January 4, 2021, the tables and datasets on this page include data from January 2020
through the present data period. Cumulative death totals will be higher than previous reports
which were restricted to include data from the week ending February 1, 2020."
https://www.cdc.gov/nchs/nvss/vsrr/covid_weekly/index.htm
Unfortunately I should have made screen-shots of those earlier data reports, but did not do so,
wrongly believing they could be accessed later on by use of a CDC weekly reports archive
(which actually does not exist), or by the Wayback Machine at archive.org. Neither source could
provide the missing information. The Wayback Machine could reconstruct those older CDC
webpage displays showing text and headers, but the numerical data was lost apparently due to
how the CDC's website used scripted access to other parts of the CDC's computer system. When
those data were updated, the older numbers were erased and replaced. The CDC's Covid-19 data
base appears to be under on-going corrections and adjustments, including for 2020, making it
difficult to compare them to the earlier CDC numbers I used for my Tables.
https://data.cdc.gov/NCHS/Conditions-contributing-to-deaths-involving-corona/hk9y-quqm
However, from what I learned it appears to me that a renewed analysis along the same lines,
using any CDC data set, would not significantly change the outcomes or my conclusions. In the
revised paper released on 9 Feb. 2021, I revised the original Table 1 to match the CDC's own
figures, and produced three Tables 8A, B and C, which compared Covid-19 deaths by age group
for 2020, alongside All-Cause deaths within the same age groups. The percentages of deaths in
each age group, evaluated independently, showed very little difference overall between the
Covid-19 deaths and All-Cause deaths. Other problems with conventional Covid-19 theory were
exposed.
For example, one can look forever for anyone - American CDC, John Hopkins, European CDC,
OWID website - to provide a calculation of Covid-19 deaths without comorbidities. Also, there
is nearly zero attention given by the CDC, WHO or any governmental entity, about the deaths
directly due to lockdowns, forced masking, and economic ruin associated with Covid-19. And by
my preliminary calculations, more people die from those causes than by claimed SARS-CoV-2.
Instead, "official science" offers calculations of "excess deaths" by comparing overall 2020 all
cause deaths to a baseline of average all-cause deaths covering 2015 through 2019, when deaths
were generally lower. The unconcealed and wrong assumption being, all deaths above the
average are Covid-19 deaths. https://ourworldindata.org/grapher/excess-mortality-raw-death-
count?tab=chart&country=~United States
That is not a very accurate or scientifically meaningful way to handle such data, and I do feel my
own method of comparing deaths attributed to Covid-19 against All-Cause deaths, in separate
age-groups, is a more scientifically valid method.
From such data, I concluded there is no specific new virus pandemic of deaths among the
elderly, only the normal numbers and percentages reaching the natural end-of-life, or
succumbing to diseases and conditions that primarily affect the elderly age groups. The same
causes strike them down most severely during the cold-wet months of wintertime. My paper
covers all these and other factors.
For such reasons, and also due to the confusions between the CDC's "P&I" (pneumonia, and
Influenza) and "PIC" (pneumonia, influenza and Covid-19) calculations, I have concluded the
CDC might be double-counting those deaths, into both the Covid-19 and all-cause death
categories. Already they deceptively claim that PCR/antigen "cases", which overwhelmingly
!
catch healthy asymptomatic people into their net, can somehow predict who gets sick or who
stays healthy, or who lives and who dies. Surely that is not the case, and constitutes a Big Lie as
hysterically promoted into the public. They claim PCR is detecting only living virus, and that
"cases" are identifying those who transmit Covid-19 to others, which are additional Big Lies.
My calculations of the death/case ratios is a clear refutation, as are the figures showing soaring
tests and cases which do not match the death numbers.
Indeed, the manner in which the CDC and their partners in medicine and government have been
hyping up the death numbers – as with loud blaring trumpets and drums beating so as to scare the
public into panic, hysteria and serf-like obedience into total lockdowns, and to treat their friends
and neighbors as if everyone was carrying the Black Plague or leprosy – is the reason why I
engaged to review their own data, which do not support any of the major claims being made.
The CDC is not some proud organization of laboring scientists dedicated to the truth, although
some surely are in their employ. Neither are they Holy Saints who are free from political,
economic or conformist pressures. Their top people, as in other parts of the politicized "health"
bureaucracy, are absolutely totalitarian and power-drunk, some making millions on the side as
they partner in ugly ways with Chinese Communist laboratories and Globalist profiteering
pharmaceutical firms, often holding patent-rights on entire viral strains used to make expensive
vaccines. And from that high perch, they maliciously promote sadistic punishments upon the
world, as if it gives them pleasure and happiness. That is a psychiatric condition, however,
similar to the better-known psychopath who invades into businesses, politics or personal
relationships with an agenda of crushing other people down. To say that scientists or physicians
are immune from such behavior is to misinterpret the human condition as being far healthier than
it truly is, or to assume that an advanced degree from universities somehow weeds out the
psychopaths. It does not.
*****************
Further Update 6 Feb. 2021
After investigating further the issue of mortality and morbidity due to the direct effects of
lockdowns, forced masking and isolation tactics, I became convinced, by weight of evidence,
that most or all of the deaths being attributed to Covid-19 are in fact the direct consequences of
the lockdowns and other so-called "virus preventive measures". My paper has therefore been
expanded and reorganized somewhat. Not only has the 2 February update information been
added into the text of the research paper, but several additional pages have been added to
document the very high death-counts as direct consequences of the lockdowns, and which are
being mis-attributed to Covid-19. Also the information contained in the "Postscript" section in
the prior version of the research paper has been blended into the newer version. Please download
the research paper again, to get the revised version. Little has been removed from the prior
version, most of the chapter sections are unchanged, but new and essential material and
additional data calculations regarding the pathology of lockdowns has been added.
!
************
Update 2 Feb. 2021
As of this date, most of the materials originally posted in this Supplement section have since
been moved into the body of the full research article.
Observation: The shadow of severe totalitarian censorship has descended upon the USA since
the start of 2021. This includes censoring and demonizing of political dissenters, as well as of
anyone daring to question the scientific validity of the "COVID19 pandemic". Such dissent is
brutally censored, the dissenters being personally attacked and punished at their work, or just de-
platformed, silenced and fired from jobs. All "in the name of official junk science". Such
censorship, all by itself, suggests a cover-up of facts and truths the "officials" do not wish to be
more widely known. Why else would they demonize and censor those who dare say "the
COVID19 Emperor has no clothes"? I have already been shadow-banned on Twitter and
Facebook for other controversial science opinions, and was excommunicated from the academy
years ago for similar "going against the tide" of academic fads which, due to censorship and
oppression of dissent, persisted far longer than they should have, creating havoc and no benefits
to society. That tide can become a tidal wave when rivers of big money flow into universities or
medical research to support totally false suppositions, which are then put at risk by fact-based
dissent.
***************
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