A little intro as this is my first post.
DISCLAIMER - I’m not clinically trained.
I am ‘pro-choice’ and do not consider myself an ‘anti-vaxxer’ (despite the recent redefinition). My only motivation for analyzing and reporting the data is to provide insight and share it, so you can consider, discuss and perhaps use in your own decision-making. I am only motivated by the truth.
My PhD is in Computer Science. I’m a retired analyst having worked as both a researcher and analyst for a FTSE 100 high tech business in the UK for 22 years.
I have been analyzing COVID adverse event data from the US and UK for over a year and run the Coronavirus Adverse Vaccine Event (CAVE) website.
Ok, that’s out the way. Hopefully, you’re still interested in the subject matter. Here’s what I’ve found: Young people are dying sooner following an adverse reaction to the COVID vaccines.
From the US domestic VAERS data up to 2021-11-23, there were 627,141 Adverse Events (AE) reported. The median age across all reports (removing ‘Unknown’ ages) was 54.
VAERS holds information on vaccination date, dose (1st, 2nd etc.), vaccine manufacturer, number of days to onset of symptoms and if the patient died, the date they died. Using data on the last vaccination date and the date the patient died, across all age groups, we can begin to get a picture regarding the distribution of time between last vaccination and death.
The median reported age of those who died was 75 (interquartile range [IQR] = 64-84) with the median time to death being 22 days [IQR=5-92]. That’s ~3 weeks between vaccination and death! Now I know the age group is skewed towards the older population and that some deaths are recorded as non-vaccine related (e.g. suicide), but the temporal link between death and vaccination is very concerning (see Bradford-Hill for more on qualifying cause and effect in epidemiology).
Let’s break this down a little further.
Accumulating the probabilities from left to right from the histogram above, we get the following graph.
This shows the same information as the histogram, but accumulates it and normalizes the y-axis. You can see the minimum time to death was 0 (the same day as the vaccine) and the maximum was 491 days (where the curve crosses 1.0 up the y-axis).
If it makes things easier, think of the y-axis as % of people such that if you trace 0.5 (50% of cases), or the ‘median’, across y and then go down to the x-axis, you are saying that “50% of deaths occurred 22 days or less after the last vaccination”.
Of course, this is for all 7,719 deaths across all ages, so let’s look at some summary statistics for each age group.
Deaths by age group
Disaggregating the above graph by age group shows us how the distribution of days to death after the last vaccination varies by age.
Where: med=median days after the last vaccination to death and n=count of patients in each age group. The red line shows the median time to death for each age group.
Switching back to histograms, the same data can also be plotted like this.
Note the shape of the distributions - something I will return to in another post.
People under 40 die twice as quickly as those over 40
Those under 40 (median=32) make up 4.3% of the overall deaths but their median time to die after their last vaccination was just 10 days compared to 23 days for those over 40 (median=76). The following graph is perhaps the most insightful. It shows age along the x-axis and days to death up the y-axis. I have also added a regression line and a shaded area to show the standard error (confidence) in the analysis.
In future articles, I will be looking at issues like what the potential reasons for younger people dying sooner might be; why there are two distinct ‘peaks’ in the distribution and other topics such as the rate of spontaneous abortions.
Real stories, real people
Behind the data are real people and real stories. Here are just a few accounts from those under 40 in VAERS to remind us of that.
“Patient received vaccine uneventfully with no acute concerns. Left clinic and by report went out with friends. Spoke to father on phone at or around 9:00 pm. Failed to show up to work and was found dead at home. Other details pending”
33 year old female, dead 1 day after 1st dose
“Sudden Unexpected Death - No signs or symptoms”
37 year old male, dead 9 days after 2nd dose
“Patient began having seizures about four hours post vaccine while at a friends house and passed away”
38 year old male, died the same day as 1st dose
“He died unexpectedly early in the morning. He woke up suddenly, said he needed help, and then was gone.”
35 year old male, dead 4 days after 1st dose
“After receiving the second dose of the vaccine, my husband experienced left arm pain which he thought was from the injection. About a week later, the pain got worse and moved toward his chest. It got so bad, he had to be taken by ambulance to the hospital to find out he had been having a heart attack. He spent nearly three weeks in the hospital before he died on 4/15/21“
38 year old male, dead 27 days after 2nd dose
“Blood clot blocking blood flow to brain - 1st episode: ( 3/12/21) stabilized, minor limited movement left side - 2nd episode: (3/24/21) no blood flow to brain, death (maintained on life support for organ donation)“
29 year old female, dead 23 days after 2nd dose
+124 more stories …
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Great article and love the detailed analysis that’s much needed. “Died suddenly” and “coincidence” seem to go hand in hand these days. We know of 2 people over Christmas as far as we knew otherwise healthy, 40 and 45, sudden fatal heart attacks. Both male, both with wife and kids. Can’t yet say for certain the common denominator but since we live in one of the most injected nations it’s more likely than not to be more evidence of democide.
VAERS does not work like this. You are endangering lives with your ignorance.
For starters, your second chart should show you the problem with your data. Why is the median time to death 22 days? Because it is an adverse vaccine reporting website. Doctors are almost never going to submit a VAERS report if you die 200 days after your second dose, but they are going to submit one (as is often required) if you die within weeks, even if they think it is unrelated. The data is inherently skewed in that direction, but it gives you an incorrect impression that the deaths are caused, rather than simply reported.
That said, I'd like to add to your list of Real stories, Real people:
42 year old male, transformed 1 day after measles vaccine
"After receiving a mandatory measles vaccine, subject underwent gross transformation. Skin became dark green, muscle mass expanded and body reacted poorly to emotional distress. Particularly anger."
This is a summary of an actual VAERS report, because it was (and indeed still is) possible to submit a report to VAERS saying that a vaccine caused you to become the incredible hulk.
This is why you don't use unreviewed VAERS data to scare monger about vaccines.