OpenVAERS Beautiful Hot Lots Dashboard - What Does It Tell Us About Mod, PF, J&J

Further explanation of RVU's

OpenVAERS Hot Lots Dashboard:

https://www.openvaers.com/covid-data/vaccine-lots#deathscatter

VaersAware’s previous reviews: HERE

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The folks at ICAN just released the J&J (Janssen) lots data and with that OpenVAERS just announced yesterday their updated dashboard.

This view above is one of a few beautiful dashboards available and probably the best general overview which is mostly why OpenVAERS probably leads off with it. The lots are normalized to millions doses shipped even though many lots had well under 1M doses shipped. Normalizing data is a good way of assigning a relative value to a unit of measurement and in this case the Severe Adverse Events. The thing to keep in mind about this simplistic calculation is that 100 deaths is weighted just as heavily as 100 Emergency Room visits. However it does begin to address the relative “toxicity” of a individual lot relative to how many doses were shipped. In my previous article HERE I pointed out that J&J actually had “Doses Administered” data available and I was wondering which data set was going to be employed by the analysts? All variables considered I thought it would be more appropriate to stick with the shipped doses so that all three manufacturers can be weighted equally. FYI, I’ll analyze both data sets eventually. The spoilage factor must be incredible with these unicorn jabs if J&J ratio is any indication? J&J shipped ~28M doses, but only administered ~17M (~61%) per this data. I wonder where the CDC figure out at least 17M doses went into arms?

Anyhow, I wanted to dive into the few lots that look like they are screaming off the page and a couple others.

Disclaimer: Data is unedited compiled from WONDER Jan 18th, no data cleansing. AKA dump & pump

Ok quick, hands in the air and a gun to your head, which lot# do you want to be jabbed with? The graph upstairs says you want Pfizer’s EL9269, but is that the one you really want? Which looks the most dangerous? Is 45 deaths on 98K worse than 175 deaths for 1.3M doses?

Here is a RVU calculation on deaths where a death is worth 4000 points, then multiplied by the unit normalized to 2M doses shipped.

Moderna’s Puerto Rican lot 032H20A looks like it’s the most dangerous, followed by J&J lot 1802070, then J&J lot 1802068 and so on. So it does look like Pfizer’s EL9269 is less dangerous at this moment. But why does 032H20A get a little buried on OpenVAERS graph and why does 052D22A look so much more dangerous? I know it’s a rhetorical question, but it’s because it’s relative to such a small lot having proportionately high amounts of other SAE’s particularly the hospitalizations and ER’s.

Using the RVU and normalizing techniques demonstrated above, I give you vaersaware’s rank on this six lot sample set.

So what if CDC wants to obfuscate the data a little by either not cleaning up the special characters and truncated lot numbers? What if the CDC allows cardiac arrests and heart attacks to sit in the “None of Above (NOA)” because the box went unchecked? What if the CDC was unchecking some of these AE boxes themselves?

Wouldn’t it be cool if we could ethically clean up the lot numbers and up-code reports like pulling death, cardiac arrests, heart attacks out of NOA and placing them at a more appropriate event level…. like Life Threatening or a death in the death bucket? Maybe add some filters to toggle back and forth between unedited and edited data?

Your wish is my command world! This is what I have been doing for quite awhile and slowly perfecting the system and the views.

This view has been waiting for you, you’re welcometheeagle and thank you to OpenVAERS for helping me explain my RVU point system. It’s a work in progress but this is what I have so far. BTW, I just noticed my lot# expiration dates graph (by date) is out of order. LOL I will get that fixed soon. God Bless.

For the record, there is nothing wrong with OpenVAERS hot lot graphs and calculations. Everything pans out, you just need take it all in context. I like to say my dashboard is “interactive” and it’s a caramel macchiato to someone else’s black cup of coffee.

I get no help from the big boys, so if you could find it in your heart to support me with a paid subscription that would be super! If not no worries, just share my work and pay it forward. A huge thank you to my paid subs. God Bless.

click to launch