Kevin McKernan / David Speicher's Adulterated Lots Analysis Not As Tight As Is Could Be? Part2
Good Will Hunting or The Outsiders?
In part 1, I presented a some quick observations on how some DEATHS were missed in the VAERS analysis portion of what otherwise is a great “looking” manuscript on adulterated Covid19 vaccines. Most of the science stuff and circular RNA and folding LNP is way over my head, but anything involving VAERS is not.
My bottom line summary of observations basically explains how the teams VAERS expert must have used the Ol’ dump & pump routine to do the calculations. If I haven’t explained “dump & pump” well enough yet, it means downloading the data and calculating without any data cleansing or data modeling. By data modeling I mean fixing and standardizing lot#’s by making them all CAPS as an example. Fixing truncated lots, fixing typos, turning Z’s into 2’s or that sort of thing. By not doing the required data modeling prep work, caused the teachers red pen to come out and scribble all over this manuscript.
Even The Hawk, or I should say of course even The Hawk (Gary Hawkins) quickly came out and made mince meat out this manuscript here.
Gary says he can add 45 more VAERS reports bringing the total count to 144 reports. That’s a spike of ~44% more reports to the dinner table! We can probably squeeze out a few more reports if we really looked super close. I’m totally appreciative of the job being done by Adulterated Lots Team, but I’m also highly appreciate a job done well, meaning something far above the ol’ dump & pump.
With that being said, I need to bring into light the SAE (Severe Adverse Events) under-coding that is allowed to passthrough VAERS, and it’s ridiculous.
Here is just one SAE that is currently under-coded as only a Office Visit:
You can see the submitter who is the victim filed their own report. The victim only marked off Office Visit, but a cerebellar infarction seems pretty serious to me! I up-code these types in my vaersaware.com to Life Threatening. A side note, by toggling between filters we can segregate every report that has been edited aka ethically cleansed within vaersaware.com. Meaning we can see the original native untouched data AND the ethically cleansed data! How do you like them apples?
So as it stands please add one more SAE at ID# 2612975 to the ledger for lot# 020J21A
I hope the team will polish this analysis up, then it will be a job well done God Bless.
This is iron sharpens iron and not a little patty cakes scuff on the playground. Lives depend on anybody that can help!
The Outsiders?
Or Good Will Hunting?
Albert- were any of those lots tested from my batch I can message you the lot numbers if you don’t have them
Terrific work as always. Wondering if you're familiar with machine learning to analyze VAERS reports? A great substack on this - might be a nice collaboration