Video of Analysis of "Patterns of Deployment of Toxic Covid Batches" (Toxic Batches Appear to be Systematically Released)
(www.bitchute.com)
🤢 These people are sick! 🤮
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Programmer here ---
I downloaded the VAERS data and started to write some code to replicate the results.
There's one BIG assumption being made here, which is that 'all batches are the same size'. We have no confirmation of that.
You could see the exact same 'anomalies' with a consistently 'moderate toxic' formula and differing batch sizes.
Extremely small batches would have almost no adverse effects, and large batches would have many adverse effects - with no difference in toxicity.
The Pfizer 'ramp down' could be a gradual lowering of batch sizes (interspersed with minuscule batches).
I am not trying to say the vaxxes are ok -- in fact I actually suggested this kind of 'toxicity tweaking' as a theory about a month ago.
I'm just saying that without knowing the batch sizes, this is not a smoking gun.
Here's the previous theory -- do they line up?
If they give SALINE to almost everyone (the first time around), they still get ALL of their EVIL BENEFITS. Here's how...
https://greatawakening.win/p/13zgXB5572/if-they-give-saline-to-almost-ev/
Thanks for looking into this. I had a number of questions about this after watching the video. You bring up an excellent point.
Other questions I had were whether we know if batch numbers were really given in chronological order, and whether moderna, jognson and johnson, and pfizer batches are all distributed evenly across batch numbers or not.
I suspect he is getting the 'chronological order' of the batches by the dates of injection.
The three companies seem to use different batch numbering schemes.
He is somehow assigning a single date to each batch and making that his x-axis upon which all of his results depend. In the data I only see dates for each individual vaccination, not a date a vax lot was issued. I tried taking the mininum and the mean of the individual dates for each VAX_LOT but my plots look nothing like his. Mine are much more spread out with Pfizer and Moderna distributed across all of 2021. I am including the non-domestic data in order to get the fullest picture possible. He needs to provide more details on how to reproduce what he did to support his remarks. Many folks are happy to jump to the most nefarious conclusions without rigorous backing.
I don't know if you've scrolled through the data to see what the 'batch names' look like, but there are huge swaths of useless batch numbers in the VAERS data. (And they would be downright misleading to a lazy analysis.)
I had to cull roughly one-third of the data due to missing batch numbers or batch numbers such as 'N/A', 'unk', 'idk', or 'Really?'. Huge numbers of them had a '#' prepended or were simply garbled text. If these were not culled, the analysis is (truly) worse than useless.
Each one of those 'garbled' batch numbers would look like a 'non-toxic' batch because each one would have exactly one 'adverse event'.
I wish I knew if the maker of the video did such a cull, or if a lot of these 'safe batches' are named 'unknown', '0.23.HG[..', or 'will find later'.