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Craig Paardekooper

Immediacy of Severe Reactions

On a previous page, here, we looked at the time till onset of adverse reactions, and we found that there was a strong clustering of adverse reactions immediately after vaccination. This constitutes the first peak. We could think of this as the immediate or acute effects of the vaccines.

What you are about to read, is that there is a second peak, occurring at a defined time after the first peak, which we might regard as the chronic or long-term effects of the vaccine.

In order to show this, we will look at the distribution of deaths and hospitalisations following the first and second doses

FIG 1 : Deaths following Vaccination

The first chart shows the effects of the first dose. Notice that most of the deaths after the first dose occur within 30 days, and peter out after that - so the first dose mostly produces an acute, immediate reaction. Also notice that the occurrence of death persists for longer in the older age groups, suggesting that the active ingredient/s causing the death persists for longer in their bodies.

Now look at the second chart, which shows the effects of the second dose. Here the greatest concentration of deaths is still immediately after the vaccine, and declines exponentially as each day passes, until the frequency of death reaches a minimum at about 100 days post vaccination. It then starts to rise again, and there is a second peak at about 180 days post vaccination. Notice that the second peak is only apparent for people over 50.

FIG 2 : Graphs showing Second Peak

FIG 3 : Hospitalisations following Vaccination

These two charts show the number of hospitalisations following vaccination. They show a similar pattern to the charts for death - except that the second peak is far more apparent.Once again, the second peak seems to mainly effect the over 50s.

Decrease in Lethality over 2021

Here is a chart showing the number vaccinated on each day of 2021, as recorded in VAERS. This replicates the findings of Jason Morphett, but uses a different source of data (I used VAERS to count number vaccinated on each day, whilst Jason used the governments recorded vaccination numbers obtained from a separate CDC database.)

A minimum is found to occur every 7 days, because fewer people are vaccinated on Sundays

When I counted the number of deaths associated with the vaccinations given on each day, I obtain this graph - again based on VAERS data for USA for 2021. This is the same as the graph produced by Jason Morphett

Notice again that the number of deaths associated with each day of vaccination also follows a periodic 7 day occilation.

When number of deaths associated with a particular day is divided by the number of vaccines given on that day, we obtain the lethality - a measure of toxicity. Graph 3 shows that lethality declines over 2021.

So the vaccines have actually decreased in toxicity over 2021. The vaccines were twice as lethal in the first quarter compared to the third quarter of 2021. They reserved the worst shots for the aged in the first quarter (eugenics/ cost saving on social care?)

Curious Distribution of Death

The deaths associated with the vaccines given on a particular day, do not occur on that day. Rather, these deaths are spread out over many days following vaccination. When we look at the actual dates of death and plot these on a graph for each day of 2021, we obtain the following -

What can account for the rather large second peak of deaths? The deaths show a large bulge in the third quarter which is not expected, since we have seen that numbers vaccinated was falling, and so was toxicity.

The two peaks are out of phase by approximately 180 days

At the beginning of this page I showed that following the vaccination of the aged, there are two peaks, and the second peak starts 180 days after vaccination. I therefore propose that this large bulge in deaths is primarily the result of vaccines given in January, February and March. It is the second peak - 180 days after vaccination - the long-term effects of the vaccine.

Testing the Idea

In order to test the idea that the second peak (occurring in the third quarter of 2021) was due to the long term effects of the initial vaccinations in the first quarter of 2021, I simply counted the number of deaths on each day, but filtered out those records where the deaths were taking place more than 100 days after vaccination. I wanted to see if the second peak disappeared when I did this.

The results are shown below, and confirm that the second peak arises due to long term effects of the vaccination - resulting in a second maximum of deaths 180 days after vaccination

In order to find out the precise cause of the second peak, I will need to look at what the people died from. This will tell me if it was immune deficiency or something else - and will tell us about the mechanism of long-term vaccine effects.

Kentucky

VAERS data for deaths in Kentucky shows a very large increase in mortality in the third quarter following Covid 19 vaccinations. Scientists have been wondering what could possibly give rise to such a large increase.

I decided to carry out a test to see if the large Q3 peak might be the second peak caused by the initial vaccines given in Q1, rather than from vaccines given in Q3.

So, first I plotted all deaths (shown in blue). Then I plotted only deaths occuring less than 100 days after vaccination (shown in orange)

As you can see, 83% of the Q3 peak has nothing to do with the vaccines deployed in the third quarter, but consists of the delayed deaths from atleast 100 days earlier. Consequently the Q3 peak is actually the delayed effects of the Q1 and Q2 vaccines

What is really scary is the magnitude of Q3 - it is 3 times that of Q1. The vaccine appears to act like a time bomb - its destructive power is delayed with a fuse lasting atleast 100 days !!

Texas

Here is the VAERS data for Texas - showing the number of deaths each month (blue). The orange columns show number of deaths each month when date of death is less than 100 days after vaccination. When we remove all deaths greater than 100 days after vaccination, the peak in Q3 disappears completely - showing that the Q3 peak is comprised entirely of the effects of vaccines given in Q1 and Q2 - the delayed effect. Once again the delayed effect accounts for 80+% of the Q3 peak

Michigan

Here is the graph for Michigan. Notice that the third quarter peak (Q3) is once again comprised mostlyof the delayed deaths resulting from vaccines given in Q2 and Q1.

Tennesee

Here is the graph for Tenessee. Notice that the third quarter peak (Q3) is once again comprised mostlyof the delayed deaths resulting from vaccines given in Q2 and Q1.

Georgia

Here is the graph for Georgia. Notice that the third quarter peak (Q3) is once again comprised mostlyof the delayed deaths resulting from vaccines given in Q2 and Q1. Georgia demonstrates the most pronounced effect.

(Georgia is also renouned for its monument, an inscribed monolith describing a worldwide depopulation)

Does this pattern hold for all States?

The explosion of mortality in Q3 is confined to select states - Michigan, Tennessee, Texas, Kentucky, Georgia, Florida and Ohio. These are all mainly in the South East of the USA. Whats more, this mortality explosion is confined to people of working age. Other states such as New York, California and Pennsylvania, do not show this explosion of mortality.

It is incredible that many states do not show this delayed effect - the only explanation I can think of is that the vaccines may have been adulterated to test this delayed effect in select states, and on a younger age range.

For example, here are the results for California - there is barely any second peak. Considering that California has the highest number of vaccinated, this is remarkable. The sharp distinction between the California result and the results for the states above suggests that the delayed effect may be produced by an adulteration

And here are the results for New York

Almost all of the states in the USA showing high deaths following vaccination, just happen to be the same states where the delayed death phenomenon has been found. Notice that Kentucky (KY), Michigan (MI), Minnesota (MN), Tennessee (TN), Georgia (GA), Florida (FL), and Texas (TX) have a dark shade.

"I started looking at this, and I am finding that the 7 states that we have identified have 3 times more late deaths (onset after 120 days) vs the rest of the US. The lots responsible are mostly Pfizer EN, EM, EL, ER series." Alexandra Latypova

Excess Deaths in States of KY, MI, MN, GA, TN

We had noticed excess deaths in these states a few months back, but did not know the cause.

If you want the statistical calculations for these outliers, then we have found that deaths for Kentucky is more than 4 standard deviations from the mean - which means that it is way higher than expected. And Michigan, Minnesota and Tennessee all lie outside of the 95% confidence interval.

The States with Excess Deaths are the States with Delayed Deaths

The chart below shows the absolute number of deaths occuring more than 180 days after vaccination for each state in the USA. (Those states not shown have zero deaths after 180 days). This chart clearly shows that the 5 states with most delayed deaths are the very same 5 states found to have excess deaths in the above chart. Consequently, we can hypothesise that the excess deaths are due to people dying over an extended period of time.

The 5 states with most delayed deaths, KY, TN, GA, MI, and MN, all are located on an axis running in a south-southeast direction, roughly corresponding to Interstate 75 - this must have been the distribution route.

Possible Mechanism

In all of the states showing the second peak effect, deaths persist for much longer after the vaccination date. In fact, the rate of death over time is a straight line. This suggests that the active ingredient is not diminished over time.

In comparison, in all the states not showing this effect, deaths decrease exponentially from the time of vaccination - suggesting that the active ingredient is diminishing in quantity as time passes

If the concentration of the active ingredient does not diminish over time then either it is not being broken down and excreted, or it is being replaced at the rate at which it is excreted

In pharma terms we would say they have either extended the half life of the drug, or found a way to make the body generate more of it

Self-Amplifying RNA

The use of self-amplifying mRNA would account for the greater persistence of the toxin. Back in November 2020, BionTech published a report.

BionTech Report : see p 10

• non-modified uridine containing mRNA (uRNA),
• nucleoside-modified mRNA (modRNA) and
• self amplifying RNA (saRNA)

Self-amplifying RNA causes the body to manufacture more of the RNA - it reproduces itself - consequently the toxic spike protein is replenished and remains in the body far longer.

So, on the very eve of release of the vaccine in November 2020, they were working on these 3 platforms - some of the vaccines would be uRNA, some would be modRNA, and some would be saRNA.

• Nucleoside-modified RNA (modRNA), is so modified to evade the innate immune system, by replacing uridine with pseudo-uridine - something which renders the foreign mRNA invisible to our natural defences.
• Self-amplifying RNA (saRNA) turns the body into a factory for yet more mRNA, causing the body to generate the toxic spike protein over a longer period. Those states unlucky enough to get the saRNA would experience prolonged exposure to the toxin, and consequently an elevated number of deaths.

So you can see, just from this alone, that not all vaccines are equal - there are at least 3 types developed. One can evade your defences, and the other can reproduce itself, so even if some are caught by your defences they are simply replaced by more. You can think of these 3 types of vaccines as 3 different soldiers - the second soldier is invisible to your defences, and the third can clone or multiply itself. It is immediately obvious that these 3 types of vaccine will result very different levels of fatality.

See Self Amplifying RNA

Graphs Showing Degree of Delayed Deaths in Each State

In the graphs below, you can clearly see all the states where deaths persist over a much longer time following vaccination. These are the very ones where the second peak is so large and is made up of delayed deaths. The horizontal axis is number of days since vaccination, and the vertical axis is number of deaths.

Graphs Showing Rate of Death in Each State

In the graphs below, the horizontal axis is days since vaccination. The vertical axis is % of total number of deaths. The states with delayed death have a profile that approximates to a straight line, indicating that the rate of deaths is constant over a longer time. In contrast, states not showing a second peak of delayed deaths have profiles that rise rapidly then flatten out - indicating that most of their deaths occur immediately after vaccination, then peter out..

It is hard to believe that the same vaccine would have such different effects across different states.

How Did They Die?

What we need to do now is look at the way the people died in the second peak. This will provide more clues as to the mechanism.

In order to determine this, I took all the records for VAERS USA for 2021, and looked at deaths more than 100 days after vaccination. I used the 5 symptoms columns from the VAERS symptoms table, and counted the frequency of each symptom. In this way I was able to get a list of the most frequently occurring symptoms accompanying the delayed death phenomenon. Here are the results -

As you can see, COVID-19 is listed as the most frequently occurring symptom - which is odd - considering that the vaccine is supposed to protect people from infection.....a case of vaccine failure. However, it is not so odd when we consider that both the virus and the vaccine produce the spike protein, so both generate similar symptoms. The dominant symptoms are like COVID-19, loss of energy, difficulty breathing, kidney failure and heart attack.

Here is the distribution of COVID 19 deaths for all States and all ages following vaccination -

And here is the distribution of COVID 19 hospitalisations for all States and all ages following vaccination. To get this data I took VAERS for 2021 USA and filtered for all records where hospitalisation = Y and where Symptom 1, 2, 3, 4 or 5 = COVID 19.

What is interesting is that there appears to be an initial incidence of COVID 19-like symptoms immediately following the vaccine - these symptoms being severe enough to require hospitalisation. These symptoms then drop off exponentially during the subsequent 30 days after vaccination. There then follows a gradual build up of COVID 19 like symptoms over the next 5 months. This reaches a peak at 6 months post vaccination.

[My interpretation of the shape of this graph is that initially at the time of the vaccination there are intense adverse effects, which drop off exponentially for each day post vaccination. During this phase, metabolism and excretion of the toxin is dominant. However, at about 100 days post vax, the self amplification of the vaccine becomes dominant over excretion, and there is a resultant rise in symptoms]

It should be stressed that VAERS is only a small sample of the actual incidence of these events. The real incidence is about 40 times greater - so about 40 x 60 = 2400 hospitalisations each day at the peak. Since the peak level persists for 100 days, there fore a total of approximately 2,400 x 100 = 240,000 USA citizens were effected.

Since both the virus (COVID 19) and the vaccine generate spike proteins, and since the spike proteins are largely responsible for the symptoms, it follows that the vaccine will have similar symptoms to COVID 19. So the distribution of hospitalisation shown in this graph is most likely the result of the proliferation of spike proteins produced by the vaccine, which mimics the efects of COVID 19.

An alternative explanation would be that the second peak is caused by immune suppression. If this is the case then we would expect that -

• other viral and bacterial infections should also peak at the same time. Illnesses such as pneumonia, influenza, herpes, sepsis,etc
• there should be evidence of immune suppression such as lower counts of immune cells, inhibition of DNA repair etc

PDF : Symptoms Associated with Immediate vs Delayed Deaths - an analysis across different time spans

Long term Effects in terms of Reduced Immunity

Source : Walgreen's Covid-19 Testing data shows the vaccinated are more likely to test positive

Walgreens is a major USA data collection organisation, and has carried out their own testing of the USA population. They have found -

1. The % of people testing positive increases with each dose of the vaccine
2. For any one dose testing positive is GREATLY increased 5 months after that dose

The Walgreens data strongly suggests that the vaccines are making people far more susceptible to infection. The Walgreen data also shows that there IS a delayed effect, whereby infection explodes 5 months after the dose. The ONLY way this could happen would be if the vaccines were reducing their immune system.... in a word "V-AIDS" . It appears from Walgreen's data that immune deficiency increases with each dose taken, and this effect manifests to its fullest 5 months later.

This is a stark warning to those who persist in taking booster shots - with each shot there is a progressive decline of the immune system. You may notice that you catch infections more frequently - that the infections last longer, and that they are more severe. You may also notice an outbreak of latent viruses - such as herpes or tuberculosis - which were kept in check by your immune system. You may also notice an outbreak of cancers - which are also kept in check by the immune system - the onset of cancer, and its spread, will be accelerated.

UK Government's Official Stats

The immune system appears to progressively decline until the person becomes so vulnerable that death or hospitalisation occurs - resulting in a second peak, which typically reaches a maximum at 180 days

Are any particular lots responsible for the delayed death effect?

In order to answer this, I compared Kentucky with California, and looked at the Pfizer batch series beginning with "EN62".

• Kentucky has 375 records where batch begins with EN62 - 30 deaths (8% of records) - 23 of those deaths were more than 100 days post vaccination (6% of records)
• California has 1883 records where batch begins with EN62 - 18 deaths (1% of records) - 1 of those deaths was more than 100 days post vaccination (0.05% of records)
• Kentucky has 375 records where batch begins with EN62 - 97 involve hospitalisations (26% of records), and 59 of these hospitalisations are more than 100 days post vaccination (16% of records)
• California has 1883 records where batch begins with EN62 - 112 involve hospitalisations (6% of records), and 17 of these hospitalisations are more than 100 days post vaccination. (0.9% of records)

So you can see that the same batches were administered to both states, but it appears that the Kentucky batches were adulterated to generate -

• 8 x the number of deaths per record
• 120 x the number of delayed deaths per record.
• 4 x the number of hospitalisations per record
• 7 x the number of delayed hospitalisations per record

The batches were labelled the same - with the same code, yet the ones reaching Kentucky were adulterated, and the ones reaching California were not.

When did this adulteration take place

Most of the delayed deaths have been found to be associated with EL, EM and EN Pfizer series. This enables us to determine the time of deployment - Dec 2020, Jan 2021, Feb 2021. So in early 2021 EL, EM and EN batches distributed to Kentucky were adulterated, whilst the same batches distributed to California were not. Adulteration could have taken place in the manufacturing plant, if the ingredients were kept secret from the workers (which they were - see Whistleblowers), and if a vaccine was available with extended activity (which was - BNT162c, a self amplifying vaccine, was available to replace BNT162b for the Kentucky run).

It is likely that Interstate 75 was used as the distribution route, since Georgia, Tennessee, Kentucky and Michigan are located on this route, and Minnesota is adjacent.

The Interesting Case of Batch 041L20A

Case of Batch 041L20A

The Mortality Bomb

I use the phrase "mortality bomb" to describe a biologically active ingredient that produces a delayed death 6 months after exposure. It describes a situation where there is an "explosion" of deaths - larger than any preceding levels.

It is worth bearing in mind that the delayed effect, apparent in these south eastern states, could have been a trial run. It was carried out in a small number of select states, and probably on a small number of people. Now that they know it works, it can be used on far larger populations - possibly as a means of significant depopulation.

VIDEO : Mortality Bomb

The First to Take the Vaccine Died 6 Months Later

VIDEO : The First Vaccine Candidates - 180 days till death

2022 Update with Latest Data

• The latest data reveals an extension of the delayed effect to additional states - particularly South Dekota and Wisconsin. Perhaps this is a strategy of gradually distributing delayed effect vaccines to more states.
• The magnitude of the second peak has also increased greatly relative to the first peak. This suggests a greater deployment of the delayed effect vaccines.
• Most of the delayed deaths are from Covid-19, indicating that the Covid19 vaccine is making people more vulnerable to being infected after 180 days - achieved by destroying the immune system of recipients.
• A second peak has begun to appear in states such as California and New York who previously showed no second peak - again suggesting a progressive deployment of the delayed effect vaccines.

See video here - VIDEO : POST-INJECTION MORTALITY PATTERNS ACROSS THE UNITED STATES - UPDATE JULY 2022

Department of Health and Human Services Whistleblower

1st September 2022 : Information has been released from the Social Security Administration death master file, confirming a second major peak of deaths occurring 6 months after the second dose of COVID-19 vaccination.

!! NEW : A second peak in deaths confirmed by Social Security Administration death master file. See Department of Health and Human Services Whistleblower

The Georgia Guidestone

The Georgia Guidestone is an obelisk inscribed in 8 different languages and was erected on 24th March 1980, 40 years before the first lockdowns. It purports to prophecy a coming decimation of the worlds population. It is curious that this location (Georgia) should form part of a south eastern axis running from Florida through Georgia, then Tennessee, then Kentucky, then Wisconsin, Michigan and Minnesota - all of these states demonstrating delayed deaths and therefore probable deployment of self-amplifying "vaccine".

Sources :

FIGS 1, 2 and 3 above are taken from the work of Jason Morphett, whose substack articles you can find referenced below.

• Jason Morphett article1



• Jason Morphett article 2



• Geoffrey Freissen Phd - investigated excessive mortality in Q3 - and collected together some very interesting data here - Geoffrey Freissen article - Q3 Mortality

Contact

craig@howbad.info

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