This story is a conversation with Albert Benavides (who also goes by WelcomeTheEagle).
Albert is a medical billing expert who has been analyzing VAERS data. He has built VAERSAWARE, a visual interface that allows one to look at VAERS data in multiple unique ways. Hence, the conversation is a bit on the technical side.
Background info on VAERS
VAERS is a CDC “early warning system” database for reporting vaccine adverse events. The 2010 Harvard Pilgrim study showing that VAERS was severely underreported, capturing less than 1% of adverse events. The study was subsequently memory-holed, and the role of the database was actively downplayed despite the fact that is it an official CDC database, and that submitting a fraudulent report is actually a crime.
Furthermore, for three years now, mainstream media “journalists” have been pretending to not know that submitting VAERS reports is laborious and time-consuming, and healthcare professionals are actively and convincingly being discouraged from doing so.
Most of us probably remember the graphs based on 2021 VAERS data that showed an astronomical increase in adverse events during the COVID vaccine rollout. They looked something like this:
Q: Did those graphs move the hearts of the bureaucrats? Did they consider halting the vaccine rollout? A: No.
Q: Why? A: Because we are under a mob.
Back to the interview with Albert. During our conversation, he covered various peculiar anomalies in reporting that he had identified. He also talked about them on his Substack:
Not Publishing all legitimate claims/reports received
Deleting legitimate reports aka NOT duplicate or fake reports
Scrubbing Data Fields like age and Location
Throttling Reports (purposeful delay in publication)
Misclassifying serious events as “Not Serious” even deaths
Bundling multiple deaths on one report
Misclassified Vax Types
Deleting then re-appearing reports
Down-coding Reports after publication
Here is a visual statement from Albert.
I thank Albert for his brave work. And for some laughter, here is a timeless Simpsons bit.
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