Abstractor - A searchable front end onto the Pfizer documents they didn't want you to see
I did a thing and it's pretty useful!
#Pfizerdocuments popularity from BrandMentions
So it’s been a while since I wrote anything on Substack. I did quite a lot of work with the guys over at Project Engima and howbad.info looking at vaccine death rates and the second peak. In fact, I made a short video showing how bad Kentucky had been (in absolute terms) on Rumble.
But that’s not why you called …
Abstractor - the website
As we know, Pfizer has been ordered by the US courts to expedite the release of documents, originally requested under FOIA, in a matter of months instead of years.
They originally were going to draw this out over 55 years, but a challenge was made to the courts by Aaron Siri and the legal team representing Public Health and Medical Professionals for Transparency (PHMPT). This resulted in the first drop of 55,000 pages from the FDA on March 1st 2022.
The popularity of ‘Pfizer documents’ in Google Trends
It’s clear that no-one can process 55,000 a month without employing an army of readers the size of the FDA, so tools needed to be written. And, on a call with members of Project Enigma, I and some of the other programmers put our hands up to set about writing one.
So to coincide with the release on April 1st of the second batch of 11,000 pages, we released Abstractor.
Keywords Finder tool from Abstractor
The Keywords Finder tool allows you to:
Search every PDF released by Pfizer in one place
Use multiple keywords in the same query
Open links to PDFs that go directly to the appropriate page
Save results offline to process later
Do it all for FREE (donations welcome)
There’s more to do and we plan to Open Source and encourage other developers to come on board (machine learning, linguistic programming, text analysis etc.). But for now, a Keywords search tool across all PDFs is what you’ve got!
Share your search terms here if you find anything interesting.
Here’s mine: @pfizer
I posted this today on Jessica's Substack as well:
This is amazing work.
Thank you to for your outstanding work on howbad.info and howbadismybatch.com
This is the one real tool and set of organized information that has worked for me to get through to people that something isn't right. I actually watched the color on a Ph.D. trained friend's face drain when I gave her this tool, when nothing else seemed to sink in. Batch number correlates well at the person level in my experience when I can tell someone which shot gave them more side effects.
I see posts on Twitter discounting the batch variation as mere variation in mRNA dosage as if that is acceptable.
So how are people joining in the Team Enigma projects? I wrote to Paardekooper long ago but got no answer.