Killer VXX Batches — Analysis By Kill Ratios With Charts

Some elements of this post require adjustments. We now have good information direct from Pfizer that batches vary in size, but 180,000 is a good average.

Even now I am not happy with the formatting of my WordPress site, but we all should be busy preparing for whatever comes next. Keep in mind that no person works as hard as a slave who thinks they are “free”.

So here we go….a few sites are now publishing the “killer batches”. I jotted down a goal of comparing all of the batch numbers that have caused severe events, to all of the batch numbers that have caused reported deaths to VAERS. I am not exactly sure how to do that comparison in an automated way, maybe something to do with conditional formatting as a trick. I want to see if there are batches that are “known” from the smaller adverse events, that also have not had any reported death. I know of no other way to get a list of all of the batches, and not really in a position to go after my first FOIA request. But maybe someone could do that. The data table from the website at far bottom kind of does that but I would want it for ALL batches known.

Even the big writers like Berenson, Kirsch, and now Malone have not quite crossed the Rubicon, or they are afraid to admit it. The truth is just too horrible for most people to even admit it. So by going directly to the truth, the message would be immediately lost, so I will let them soft sell it for a while. Now the reports of 40% excess deaths in the 18 to 65 age bracket are coming out, and not do to COVID. Some will argue that they are caused by damage due to the lockdowns, and certainly there will be some.

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BATCH

ADRs

DEATHS

DISABILITIES

LIFE THREATENING ILLNESSES

EK9231	3412	48	51	37
ER2613	3143	29	52	50
EN6201	2633	90	57	47
EN5318	2604	80	49	51
EN6205	2582	41	54	48
ER8733	2549	9	54	43
EL3247	2516	31	31	24
er8732	2492	35	43	53
EN6208	2488	51	44	49
Ek5730	2487	22	36	21
EP6955	2435	18	46	53
EN6207	2369	33	62	47
EL1284	2361	33	33	25
EN6200	2290	71	43	46
EL1283	2249	50	36	45
EW0150	2230	16	46	33
EL3246	2222	38	42	20
EW0151	2218	13	37	33
EN6202	2209	64	50	48
EN6206	2190	28	47	39
ER8729	2184	10	38	32
EN6198	2182	60	54	51
ER8727	2121	28	43	40
EN6199	2110	48	41	50
ep7534	2064	26	60	38
Eh9899	2052	21	39	25
EN6203	2039	34	42	35
EN6204	2029	41	45	55
ER8730	1983	23	38	35
Ep7533	1973	31	44	31
EL3249	1972	68	30	21
EL9262	1946	30	42	38
ER8734	1944	15	31	39
EW0172	1930	14	32	29
EL8982	1923	62	40	25
ER8737	1920	14	47	36
EL3248	1912	75	30	25

Pfizer — Adverse Events By Batch Number

(1) 10 Gallon Jug of “Batch” can be turned into 10 million “Treatments”

the General all encompassing Adverse Events (ADR) have not been multiplied by the rational under-reporting rate of 40 to 1

The other categories have been multiplied by 40

It also should be noted that even with the intense logistical difficulties of maintaining -90F, these batches were shipped far and wide across the USA to all four corners

Do you think it is just a quality control issue?

Keep in mind consitently across States and as a US average, 11% of the people never got the seond shot even though they were willing to get the first shot.   The conclusion seems Obvious

Their reaction was bad enough they were willing to risk their life to the virus instead.

Out of a Batch of 180,000, there would be 18,180 who would not get the second Jab.

For the really bad batches let eye ball the adverse events reported was say 2250. An under-reporting rate of 40 to 1 seems reasonable = 90,000 or about HALF of those with the horrible batches had a really bad reaction.

Let’s “eyeball” the average deaths for the worst batches at 40, times 40 reporting rate = 1600. Equals .88888888888888% Quick Kill Rate.

Capite?