VAERS – More words on the Denmark blue, green, yellow lot study
This is part two of my take on the I might refer to as analysis on “hot lots”. I had been sniffing around by finally gave my take yesterday
I wanted to circle back to the “blue dot” only lots as they were supposedly the most toxic and there were sum hypothesis made by Dr. Jessica Rose and Dennis Rancourt that got me thinking we should probably try to drill a little deeper into.
Dr. John Campbell of Youtube fame just did his excellent Campbell thing HERE, and he brought up some very some important observations as well specifically about victim ages, and the fact these lots were not just distributed in Denmark, but all over Europe as well.
So Campbell gave me the idea of how I wanted to slice through the data and see if I can understand what all three PhD’s are saying?
Jessica’s blurb on Rancourt:
Denis Rancourt points out that the lack of information pertaining to the subjects could provide a recipe for seeing artifacts that may arise due to differences in who was injected with what when. Did you like that? And I agree.
For example, the elderly were picked on first, have a higher inherent proclivity for death, and received different batches than the later roll-out victims. Perhaps this could explain the blue dots?
Jessica’s blurb on Jessica:
The blue dot lots are likely the batches administered early in the roll-out to our elders – who do have a higher proclivity for death than the younger folks who were injected later – I would bet that the blue dots are the old who died first having been injected with batches administered early-on in the roll out.
Campbell’s Youtube blurb:
- Blue lots are not really aged dependent in Denmark as many young healthcare workers were jabbed along with the older and frail.
- There was a DELAY in reporting in Denmark…
- These batches seem to be pan-euro batches, meaning given all over Europe not just Denmark.
The Eagle’s birds eye view:
With the playing field set I want to look at all “blue dot lots” only at the country. Small disclaimer, since I don’t have the luxury of speaking with the author’s or getting a soft copy of all lots and statistics in question, I had to manually enter the info from fuzzy screen grabs.
Since there were only nine lots considered blue dots I’m fine here, but I know I might be missing a yellow dot hiding behind a floating menu selection object as an example. Here we go:
The tea leaves in this view are telling us that Campbell is correct about lots being pan-euro and even though these depop shots were given early in the roll out, many young healthcare workers all over Europe are included these lot#’s in question.
A slight jab to Rancourt and Jessica’s proclivities, perhaps, and their game of pin the tail on the donkey, sorry kids the numbers don’t really bare out those perhaps’? Now to be specific Jessica did bet on the older people dying from the blue dots so let’s check that out.:
It looks like Dr. Rose made a pretty safe bet. That was a well educated guess. This where my I pause to say being smart and being wise are two distinct conditions, and one does not imply the other.
The wise person regardless of how smart they are should come play with the VaersAware Interactive Dashboard, it could help protect you from bad bets.
There is one more word to the wise I want to share, and that is about why the need for data cleansing on the lot#’s? I’ll use these blue dot deaths as the example here:
Do you see how discombobulated the lot numbers are without a little ethical cleansing. The space between the alpha and numeric portion of a Pfizer lot is easy to see, but what you don’t see is the amazing amount of sophistication that goes into the Python Probability Logic based on other surrounding data like similar vax dates, locations, etc.
This is where a big shout out must be given to my man Gary Hawkins from Substack and his univaers.com website. With that even my quiet man Wayne at vaersanalysis.info needs a continual shout out for his tremendous work.
We are all three peas in pod, we sharpen iron and collaborate frequently, and one trait we all have is that we NOT apart of of dump and pump crowd. Together we’ve been working hard to elevate the world over the forest of dump & pump, educated bets, and assumptions to bring more clarity to the matter at hand.
It does beg the question in this situation as how well did the Denmark authors cleanse the VAERS data, if at all? I wish I could talk to these folks and help if I could.
Lastly, Campbell eluded to Denmark having a “delay” in reporting? This word reporting is so ambiguous that it’s definitely worth dissecting here now (again). Let’s start with the acronym URF (Under Reporting Factor).
There is a huge assumption that most people take when hearing or seeing this acronym and it’s that all legitimate reports/claims received by VAERS or their counterparts get published into the public domain.
Most still yet do not have the wisdom to know the difference, there are still huge delays in publishing reports. I’ve been calling this purposeful delay in publishing reports THROTTLING this whole time! It the throttling that has caused this Denmark paper look antiquated now.
This next image from vaersanalysis.info is a great birds eye, there is a smallish vulnerability in it that I have explained to Wayne that I will share later, but this is a damn good view now on the throttling!:
You can see the gradual lag time delays in general, but it seems to have gotten bad especially for death and vax dates (red & green) around Nov 11, 2022 which also coincides with the foreign data purge.
Wouldn’t all this throttling make most analysis we were doing even a year ago antiquated? Team Enigma’s Hot Lots, Kirsch’s URF, Jessica’s and everybody else’s analysis including myself? I jumped ship long ago trying to analyze safety signals long ago based on symptoms.
This dog shit depop vaccine hits everywhere! The real story is the fraud and people running VAERS uses to try and cover it all up. I’m glad people are starting to wake up to this fact now.
I hope some attorney brings me to the dance one day, I’ll show the world how VAERS has been pulling the shimmy sham long before covid!
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