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Nature of the toxicity of the COVID-19 vaccines in the USA

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  • Correlation Research in the Public Interest
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Abstract

In this study of the Vaccine Adverse Event Reporting System data (VAERS data, USA) for COVID-19 vaccines we examine the broad features of the data, resolved by: • major adverse effect (AE) category (death, life-threatening reaction, hospitalization, disability, and all categories), • vaccine manufacturer (Janssen, Moderna, Pfizer), • type of injection (shot number in primary series, booster), • date of injection, • date of onset or finality of AE, and • age of the person suffering the AE; compared to the dates of administration of all the injections, for the different manufacturers and types of injections (see Figure S1), and compared to population characteristics (age structure, poverty, life expectancy, obesity). We elucidate fundamental aspects of the body’s response to these kinds of pulses of toxic charges, related to age-dependent immune efficiency and age-dependent spread of vulnerability, and we identify exponential time decay components in the induced mortalities, with half-life values in the range 13-30 days, possibly arising from the spike protein.
OCLA Report 2022-1 (ver. 1) | 9 February 2022
Nature of the toxicity of the COVID-19 vaccines in
the USA
Joseph Hickey*, PhD, and Denis G. Rancourt**, PhD
Ontario Civil Liberties Association, Ottawa, Ontario, Canada
*joseph.hickey@ocla.ca, **denis.rancourt@alumni.utoronto.ca
Report published at OCLA
( https://ocla.ca/our-work/reports/ )
9 February 2022
Ontario Civil Liberties Association
603-170 Laurier Avenue West
Ottawa, Ontario
Canada K1P 5V5
http://ocla.ca
2
In this study of the Vaccine Adverse Event Reporting System data (VAERS data, USA)
for COVID-19 vaccines we examine the broad features of the data, resolved by:
major adverse effect (AE) category (death, life-threatening reaction,
hospitalization, disability, and all categories),
vaccine manufacturer (Janssen, Moderna, Pfizer),
type of injection (shot number in primary series, booster),
date of injection,
date of onset or finality of AE, and
age of the person suffering the AE;
compared to the dates of administration of all the injections, for the different
manufacturers and types of injections (see Figure S1), and compared to population
characteristics (age structure, poverty, life expectancy, obesity).
We elucidate fundamental aspects of the body’s response to these kinds of pulses of
toxic charges, related to age-dependent immune efficiency and age-dependent spread
of vulnerability, and we identify exponential time decay components in the induced
mortalities, with half-life values in the range 13-30 days, possibly arising from the spike
protein.
A next version of this report will contain more content, detail, and supplementary
materials. Supporting figures illustrating the data and analyses are provided at the end
of this report.
3
We make the following observations and conclusions.
The priority targeting of the population “most at risk” at the start of the COVID-19
vaccination campaign had disastrous consequences for that population, with
disproportionately large vaccine-induced mortality and AEs (Figure S2).
Graphs of AE frequency versus time of onset or finality of the AE in days since
injection all show the same time structure (for all resolved AEs and resolved injection
characteristics):
a large initial peak in the first 5 days or less, which is larger and sharper for the
mRNA multi-dose injections (Moderna, Pfizer) compared to the virus-vector
single-dose injection (Janssen),
an exponential decay, from ~5 days to ~60 days, with a fitted half-life decay time
typically falling in the range 13-30 days, with this same behaviour occurring for all
three manufacturers and for all the main categories of AEs, and
a plateau or “second wave” of AEs at long times, beyond ~60 days and up to
~350 days since injection, which largely consists of AEs having associations with
COVID-19 itself. (Figures S3 through S5)
Furthermore, the large initial peak in the first 5 days or less (x < 5 days) is
significantly smaller for a first dose than for a second or third dose, for both Pfizer and
Moderna, while the half-life for the exponential part (5 days ≤ x < 60 days) is
concomitantly larger for the later doses (Figure S5).
4
The observed exponential decay implies a causal link between death (or AE) and
injection, up to ~60 days. Accidental deaths would have a uniform (constant) distribution
versus time since injection (versus “x”), mathematically corresponding to an infinite
decay time.
It is reasonable to postulate that the 13-30 day half-life corresponds to the half-life in
the body of a toxic component present in or produced by the vaccines, such as the
spike protein; and that the initial peak (< 5 days) is due to a toxic component or adjuvant
mostly present in the mRNA injections, such as the cationic lipids.
It is also reasonable to postulate that there is an enhanced immune response against
the vaccine component that causes the initial (x < 5 days) peak of deaths, in the later
doses compared to a first dose (Figure S5). If the initial immune response partially
debilitates mRNA delivery to cells and organs in the body, then spike-protein cumulative
toxicity leading to death could be delayed, with relatively less deaths in the exponential
decay phase (5 days ≤ x < 60 days) and longer decay half-lives, for doses in addition to
a first dose, as observed (Figure S5).
Thus, it would appear that the enhanced initial (< 5 days) immune response partially
disables spike protein production and spread, which, in theory, would make the vaccine
both less toxic and less effective (if it ever is effective) in doses and boosters beyond
5
the first dose. In fact, we do observe reductions of overall toxicity with increasing doses
and boosters, as per Table 1.
Pfizer Moderna Janssen
first 8.08 (0.48) 15.08 (0.82) 20.4 (2.2)
second
5.76 (0.44)
10.37 (0.75)
-
primary
7.03 (0.33)
12.96 (0.56)
20.4 (2.2)
booster
3.20 (0.58)
3.18 (0.66)
3.8 (3.8)
all
7.77 (0.32)
13.38 (0.53)
26.7 (2.5)
12 to 17
0.60 (0.42)
-
-
18 to 64
2.64 (0.37)
3.47 (0.52)
10.6 (1.7)
65 plus
19.7 (1.9)
25.5 (2.1)
79. (12.)
Table 1. Total number of VAERS deaths divided by total number of
doses delivered in the same period (2021) to the same group (all values
and errors × 10-6), by dose series and by age group. The age-group
rows show, for Pfizer and Moderna (Janssen) the total number of deaths
following the second (first) dose divided by the total number of
administered second (first) doses. Estimated 2σ errors in parentheses:
two times the square-root of the number of deaths divided by the
number of doses.
We produce graphs of toxicity (number of AEs / number of doses) by vaccination
date or by AE date (not shown), using the independent-database administered dose
data, which demonstrate strong correlations of toxicity with median age of those injected
on the vaccination or AE dates, and which show a gradation of manufacturer-specific
age-accounted toxicity (and see Table 1):
Janssen > Moderna > Pfizer,
approximately in the ratio (deaths per dose)
Janssen : Moderna : Pfizer = 4 : 1.3 : 1
6
We find that the number of deaths per administered dose (e.g., < 60 days since
injection) increases exponentially with age, with doubling time ~9-10 years, which is
approximately the known doubling time (in lived years) of the mortality rate for adults in
the general population of the USA. We interpret this to mean that the same age-
dependent repair/immune efficiency is in play defending against the assault of the
injection as is active protecting against the usual array of environmental and internal
assaults that cause death in adults (see discussion below about batches, and Figure
S6).
We find that the VAERS deaths by 5-year age groups (per general-population of
each USA age group) vary exponentially, again, with a doubling time approximately
equal to the known doubling time for risk of death per time (per year) for adults in the
general population of the USA. This supports our hypothesis that survival from the
assault of the vaccine is determined by the same age-dependent limiting kinetics of the
protective repair/immune mechanisms that ensure survival of adults subjected to the
current array of dominant life-expectancy-limiting challenges in the USA.
We find no evidence that supports the hypothesis of “toxic batches” (batch-to-batch
heterogeneity in lethality). The vaccine itself, as designed, is toxic.
In looking for “toxic batches”, we instead found natural distributions of age-dependent
vulnerability to assault, as follows. Graphs of number of VAERS deaths by batch versus
7
median age of those who died (per batch) have an upper threshold given by the usual
exponential (doubling time ~ 9-10 years), and a breadth of distribution of values that
also increases exponentially with age, with approximately the same doubling time
(Figure S6). We postulate that this behaviour arises from the natural age-dependent
spread of vulnerably to assault, not from batch heterogeneity. Indeed, essentially the
same behaviour (exponential increase in spread of sub-sample mortality with age, and
similar doubling time) is displayed if we make such plots on the basis of the state
jurisdictions or on the basis of vaccination date, rather than on the basis of the batch
number (not shown).
8
Supporting figures are as follows.
Figure S1. Daily number of doses administered of the Pfizer (blue), Moderna (orange), and
Janssen (green) products throughout 2021. Data is from Centers for Disease Control and
Prevention (2022). Administered doses show a strong weekly cycle, with fewer doses
administered on Sundays. The large dip occurring in December 2021 is due to an artifact
present in the CDC data. Details will be given elsewhere. Note: The doses in a primary series,
and boosters are also resolved in the data (not shown).
9
Figure S2. Number of adverse effects (AEs) of different types (hospitalization, disabled, life-
threatening, death, all-AEs, as indicated) per day versus date of vaccination, for different age
groups (80+, 60-79, 40-59, 0-39 years, as indicated). Grey curve shows number of doses
administered per vaccination date (right y-axes).
10
11
Figure S3. Histograms showing the share of VAERS deaths occurring x days after vaccination.
(a) shows the full distribution, and its inset shows the same data but zoomed-in on the y-axis.
(b) shows the same data but zoomed-in on the x-axis.
12
Figure S4. Histograms showing the share of VAERS deaths occurring x days after vaccination,
for each manufacturer separately. y-axes are linear on the top row and logarithmic on the
bottom row. In the plots in the left column (a and c), deaths at all x values are included in the
calculation (but the plots are truncated for better visualization), whereas in the right column (b
and d), only deaths for which x < 60 were used. The y-axis in (a) was also truncated for better
visualization. Note: The exponential fit (d) gives a half-life equal to 14 days, as indicated.
13
Figure S5. Histograms showing the share of VAERS deaths occurring x days after vaccination,
for each manufacturer separately: Pfizer (P) (top row), Moderna (M) (middle row), Janssen (J)
(bottom row). The left-most column is for the first dose in a primary series; the second column is
for the second dose; and the right-most column is for a third dose. Data for x < 60 days is used.
The mean time to death and the total deaths in the graph are as indicated. The exponential fits
(red lines) have the following half-life value estimates: 16 days (P1), 25 days (P2), 30 days (P3);
13 days (M1), 21 days (M2), 14 days (M3); 18 days (J1).
14
Figure S6. Number of VAERS deaths by batch for the 200 top batches versus median age of
those who died (per batch): Linear Y-scale (left), log Y-scale (right). Symbol size is scaled to
time (in days) since 11 December 2020.
... It occurs when the vaccination campaign was "turned on" for this age group. This is also the time (April-2021) when, for this age group, for the whole USA, vaccine delivery was at its highest, and all reported vaccine adverse effects, including death, peaked (Hickey and Rancourt, 2022; their Figure S2). The Janssen-shot deliveries (shots administered), in particular, peaked strongly in approximately April-2021 (whole USA) (Hickey and Rancourt, 2022; their Figure S1), and were CDC-recommended to be "paused", and then re-authorized at approximately that time, also (FDA, 2021(FDA, , 2022. ...
... This is also the time (April-2021) when, for this age group, for the whole USA, vaccine delivery was at its highest, and all reported vaccine adverse effects, including death, peaked (Hickey and Rancourt, 2022; their Figure S2). The Janssen-shot deliveries (shots administered), in particular, peaked strongly in approximately April-2021 (whole USA) (Hickey and Rancourt, 2022; their Figure S1), and were CDC-recommended to be "paused", and then re-authorized at approximately that time, also (FDA, 2021(FDA, , 2022. ...
... For Michigan, therefore, one is tempted to directly assign the unique spring-2021 peak in mortality as directly caused by the vaccine injections. The vaccine fatality toxicity per dose would need to be approximately 10 times greater than the known value for nonimmunocompromised subjects (Hickey and Rancourt, 2022; their Table 1). However, if immunocompromised young adults (stressed and mentally disabled, and such, see below) were captured by the vaccination campaign, then the causal link is entirely possible. ...
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All-cause mortality by time is the most reliable data for detecting and epidemiologically characterizing events causing death, and for gauging the population-level impact of any surge or collapse in deaths from any cause. Such data is not susceptible to reporting bias or to any bias in attributing causes of death. We compare USA all-cause mortality by time (month, week), by age group and by state to number of vaccinated individuals by time (week), by injection sequence, by age group and by state, using consolidated data up to week-5 of 2022 (week ending on February 5, 2022), in order to detect temporal associations, which would imply beneficial or deleterious effects from the vaccination campaign. We also quantify total excess all-cause mortality (relative to historic trends) for the entire covid period (WHO 11 March 2020 announcement of a pandemic through week-5 of 2022, corresponding to a total of 100 weeks), for the covid period prior to the bulk of vaccine delivery (first 50 weeks of the defined 100-week covid period), and for the covid period when the bulk of vaccine delivery is accomplished (last 50 weeks of the defined 100-week covid period); by age group and by state. We find that the COVID-19 vaccination campaign did not reduce all-cause mortality during the covid period. No deaths, within the resolution of all-cause mortality, can be said to have been averted due to vaccination in the USA. The mass vaccination campaign was not justified in terms of reducing excess all-cause mortality. The large excess mortality of the covid period, far above the historic trend, was maintained throughout the entire covid period irrespective of the unprecedented vaccination campaign, and is very strongly correlated (r = +0.86) to poverty, by state; in fact, proportional to poverty. It is also correlated to several other socioeconomic and health factors, by state, but not correlated to population fractions (65+, 75+, 85+ years) of elderly state residents.
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