Batch Code as an Indicator of Adverse Outcomes
By Craig Paardekooper

All the Pfizer batch codes were ordered alphabetically. For each Pfizer batch the number of adverse reports in VAERS
was divided by the size of the batch shipped in doses, in order to get adverse reactions per dose shipped. This is not
per dose used, but per dose shipped.
Here are the resultscode
Eh9899Ej1685
EJ1686
EK4176
Ek5730
EK9231
EL0140EL0142
EL1283
EL1284El324?
EL3246EL3247EL3248EL3249EL3302EL8982EL9261EL9262EL9263EL9263*EL9264EL9265EL9266EL9267EL9269EM9809EM9810
EN????
EN?208
EN5318
EN6198
EN6199EN6200EN6201
EN6202
EN6203
EN6204
EN6205
EN6206

adr
size
2069
8102251679
7731751587
6201001213
3227252512
8755503443 1089075
1235
726375
1790
6327752262 1159275
2300 1010295
1 1121250
2164
9954752506 1077375
1930
993525
1987 1121250
1475 1083225
1917 1274325
1782 1210950
1929 1303575
666
56842525684251423 1269450
1186
9613501132 1219725
1104
9925501438 1374750
1173 1101750
1110 1014975
1544050
1 3149640
2619 2644200
2253 2589210
2129 2696850
2337 2388555
2686 2620800
2279 2615145
2069 2218125
2057 2697240
2626 3224130
2224 2960100

tox
ordinal25.53612
1
21.71565
2
25.592653
37.58618428.690545
31.613986
17.00224728.2881819.5122922.76563
100.008919
1121.7383712
23.2602413
19.42578
1417.7212915
13.61675
16
15.04326
17
14.71572
18
14.797771911.71659
200.035185
21
11.20958
22
12.33682
23
9.280781
24
11.1228725
10.46008
26
10.646727
10.93623
28
0.018381
29
0.00317530
9.904697318.701496
32
7.894395
33
9.78415834
10.24878
35
8.714622
36
9.327698
37
7.626314
38
8.144833
39
7.51326
40

EN6207
EN6208EN9581
EP6955
Ep7533
ep7534
ER????
ER2613
ER8727
ER8729ER8730
ER8731
er8732
ER8733
Er8733**
ER8734
ER8735
ER8736
ER8737
EW0150
EW0151
ew0153
Ew0158EW0161
EW0162
EW0164
EW0165
ew0167
EW0168EW0169EW0170
EW0171
EW0172
EW0173
EW0175
EW0176
EW0177
EW0178EW0179
EW0180
EW0181
ew0182
EW0183
EW0185
EW0186
EW0187
ew0191
EW0196
EW0198ew0202
EW0217

2436
2537
702
2460
1996
2106
1
3177
2153
2213
2023
1653
2554
2562
1
1964
1876
1519
1941
2322
2248
1783
1724
1579
1832
1753
277
1415
1222
1645
1403
1706
2019
1806
1357
1417
1486
1267
1692
1417
1327
1330
1243
1437
1311
1442
1380
1384
1181
257
1271

3334500
3149640
5440503443310293553029308502764710276471029507403216330
289692031402803180060
333567033356703017430
2877030
31402803081780353925026067602808000
2645370
3100500
30607202638350
61191030794402946060
265239029530803545100
3182400
31402802638350
3022110318942028220403837600
3078270298467028852202965950
349245030338103065400
328185029226602373930
6505202857140

7.305443
8.054889
12.90323
7.144288
6.799454
7.185629
0.003617
11.49126
7.296475
6.880513
6.983279
5.263862
8.031295
7.680616
0.002998
6.508856.520613
4.837148
6.298308
6.560712
8.623732
6.349715
6.517047
5.092727
5.985526.644304
4.526809
4.594991
4.147913
6.201954
4.750972
4.812276
6.344268
5.75108
5.143366
4.688777
4.659154
4.48966
4.409006
4.603235
4.446053
4.60974.19094.11459
4.321299
4.704117
4.204945
4.735412
4.974873
3.950686
4.448504

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EY0584
FA6780FA7484
FA7485
FC3180
FC3181
FC3182
FC3183
FC3184FD0809FD0810FD7218FD7220FD8448
FE3590
FE3592
FE3594
FF2587
FF2588
FF2589ff2590
FF2593
FF8839FF8841
fg3527FH8020
FH8027FH8028fh8030fj1611FJ1614
FJ1620
FJ8757
FJ8762FK5127
FK5618FL0007fl3197fl3198fl3209FL8094
FL8095374
413010 9.055471
1437 3032550 4.738586
883 2182500 4.045819
1187 2993850 3.964794
1195 3046950 3.921955
1125 3129750 3.594536
991 3254400 3.045108
1191 3179250 3.746167
1374 3209400 4.281174
639 3357750 1.90306
68542400 1.253687
180 2720250 0.661704
110530 0.949668
955 2771550 3.445725
851 3309930 2.571051
897 3085290 2.907344
292 3548610 0.822857
954 2889900 3.301152
784 3015090 2.600254
829 3045510 2.72204
976 3213990 3.036724
764 3338010 2.288789
927 2783430 3.330423
1230 2961270 4.153623
654 3287700 1.989233
1325 2868840 4.618591
570 2992860 1.904533
560 2944890 1.901599
501 2996370 1.672023
216 2757690 0.783264
1 2808000 0.003561
514 3252600 1.580274
342 3368430 1.01531
402 2989350 1.344774
2006 10556600 1.900233
1095 8891300 1.231541
331 11777900 0.281035
134 2928510 0.457571
40 3086460 0.129598
2 2812680 0.007111
5 5447200 0.009179
30 5468800 0.054857

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This dataset was reduced to 127 records after removing records with batch codes containing * or ?

This is simply from an ordering of batch codes by alphabet from A to Z. Here is how the adverse reactions per dose
varied.

The chart shows a very clear pattern where number of reports of adverse events per doses shipped decreases
steadily over the whole of 2021

Using Machine Learning to Get a Read-out on Toxicity
Random Forest Regression
Accuracy = 86.46% (tested against 127 random samples)
Dataset = 127 batchesPredicted Adverse Events per 10,000 Doses
Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =

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Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =25.2 Adverse reactions per 10,000 Doses
25.2 Adverse reactions per 10,000 Doses
23.67 Adverse reactions per 10,000 Doses
25.6 Adverse reactions per 10,000 Doses
34.09 Adverse reactions per 10,000 Doses
31.13 Adverse reactions per 10,000 Doses
31.6 Adverse reactions per 10,000 Doses
30.47 Adverse reactions per 10,000 Doses
26.03 Adverse reactions per 10,000 Doses
22.53 Adverse reactions per 10,000 Doses
22.39 Adverse reactions per 10,000 Doses
22.26 Adverse reactions per 10,000 Doses
22.48 Adverse reactions per 10,000 Doses
20.33 Adverse reactions per 10,000 Doses
18.87 Adverse reactions per 10,000 Doses
16.89 Adverse reactions per 10,000 Doses
15.13 Adverse reactions per 10,000 Doses
14.76 Adverse reactions per 10,000 Doses
14.38 Adverse reactions per 10,000 Doses
12.41 Adverse reactions per 10,000 Doses
11.52 Adverse reactions per 10,000 Doses
11.76 Adverse reactions per 10,000 Doses
10.5 Adverse reactions per 10,000 Doses
10.02 Adverse reactions per 10,000 Doses
10.46 Adverse reactions per 10,000 Doses
10.61 Adverse reactions per 10,000 Doses
10.79 Adverse reactions per 10,000 Doses
10.14 Adverse reactions per 10,000 Doses
8.94 Adverse reactions per 10,000 Doses
8.33 Adverse reactions per 10,000 Doses
9.29 Adverse reactions per 10,000 Doses
9.85 Adverse reactions per 10,000 Doses
9.29 Adverse reactions per 10,000 Doses
9.21 Adverse reactions per 10,000 Doses
8.97 Adverse reactions per 10,000 Doses
8.06 Adverse reactions per 10,000 Doses
7.71 Adverse reactions per 10,000 Doses
7.59 Adverse reactions per 10,000 Doses
8.37 Adverse reactions per 10,000 Doses
11.16 Adverse reactions per 10,000 Doses
8.47 Adverse reactions per 10,000 Doses
7.53 Adverse reactions per 10,000 Doses
8.33 Adverse reactions per 10,000 Doses
10.02 Adverse reactions per 10,000 Doses
8.32 Adverse reactions per 10,000 Doses
7.57 Adverse reactions per 10,000 Doses
7.16 Adverse reactions per 10,000 Doses
7.75 Adverse reactions per 10,000 Doses
7.84 Adverse reactions per 10,000 Doses
7.67 Adverse reactions per 10,000 Doses
6.82 Adverse reactions per 10,000 Doses
6.4 Adverse reactions per 10,000 Doses
5.47 Adverse reactions per 10,000 Doses
6.03 Adverse reactions per 10,000 Doses
6.71 Adverse reactions per 10,000 Doses
7.73 Adverse reactions per 10,000 Doses
6.68 Adverse reactions per 10,000 Doses
6.1 Adverse reactions per 10,000 Doses
5.46 Adverse reactions per 10,000 Doses
5.71 Adverse reactions per 10,000 Doses
6.26 Adverse reactions per 10,000 Doses
5.07 Adverse reactions per 10,000 Doses
4.83 Adverse reactions per 10,000 Doses
5.04 Adverse reactions per 10,000 Doses
5.83 Adverse reactions per 10,000 DosesOrdinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =Ordinal Position =

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Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =Toxicity =5.14 Adverse reactions per 10,000 Doses
5.02 Adverse reactions per 10,000 Doses
5.88 Adverse reactions per 10,000 Doses
5.82 Adverse reactions per 10,000 Doses
5.25 Adverse reactions per 10,000 Doses
4.91 Adverse reactions per 10,000 Doses
4.84 Adverse reactions per 10,000 Doses
4.56 Adverse reactions per 10,000 Doses
4.52 Adverse reactions per 10,000 Doses
4.54 Adverse reactions per 10,000 Doses
4.56 Adverse reactions per 10,000 Doses
4.49 Adverse reactions per 10,000 Doses
4.28 Adverse reactions per 10,000 Doses
4.19 Adverse reactions per 10,000 Doses
4.31 Adverse reactions per 10,000 Doses
4.51 Adverse reactions per 10,000 Doses
4.34 Adverse reactions per 10,000 Doses
4.57 Adverse reactions per 10,000 Doses
4.51 Adverse reactions per 10,000 Doses
4.23 Adverse reactions per 10,000 Doses
4.39 Adverse reactions per 10,000 Doses
4.46 Adverse reactions per 10,000 Doses
4.48 Adverse reactions per 10,000 Doses
4.18 Adverse reactions per 10,000 Doses
3.98 Adverse reactions per 10,000 Doses
3.91 Adverse reactions per 10,000 Doses
3.63 Adverse reactions per 10,000 Doses
3.3 Adverse reactions per 10,000 Doses
3.61 Adverse reactions per 10,000 Doses
3.99 Adverse reactions per 10,000 Doses
2.42 Adverse reactions per 10,000 Doses
1.96 Adverse reactions per 10,000 Doses
1.92 Adverse reactions per 10,000 Doses
3.05 Adverse reactions per 10,000 Doses
3.05 Adverse reactions per 10,000 Doses
2.98 Adverse reactions per 10,000 Doses
3.14 Adverse reactions per 10,000 Doses
3.21 Adverse reactions per 10,000 Doses
2.93 Adverse reactions per 10,000 Doses
2.93 Adverse reactions per 10,000 Doses
2.98 Adverse reactions per 10,000 Doses
3.09 Adverse reactions per 10,000 Doses
3.19 Adverse reactions per 10,000 Doses
3.52 Adverse reactions per 10,000 Doses
3.82 Adverse reactions per 10,000 Doses
3.01 Adverse reactions per 10,000 Doses
3.64 Adverse reactions per 10,000 Doses
2.56 Adverse reactions per 10,000 Doses
1.95 Adverse reactions per 10,000 Doses
1.64 Adverse reactions per 10,000 Doses
0.96 Adverse reactions per 10,000 Doses
0.39 Adverse reactions per 10,000 Doses
1.16 Adverse reactions per 10,000 Doses
1.12 Adverse reactions per 10,000 Doses
1.24 Adverse reactions per 10,000 Doses
1.47 Adverse reactions per 10,000 Doses
1.26 Adverse reactions per 10,000 Doses
0.49 Adverse reactions per 10,000 Doses
0.36 Adverse reactions per 10,000 Doses
0.19 Adverse reactions per 10,000 Doses
0.06 Adverse reactions per 10,000 Doses
0.03 Adverse reactions per 10,000

Discussion - What Can Explain This ?

A Change in Uptake
1. Fewer people were taking the vaccines as time passed, so a larger % of batches would remained unused, andconsequently batches of equal size would register fewer adverse reports.
A Change in Recipient Demographic
1. The initial recipients were the aged, who would be more vulnerable to any physical stress or harm caused by
the jabs.
2. The initial recipients had more comorbidities, and/or were in care. So their physiology was alreadycompromised.

A Test to Determine if Change in Uptake is the Reason
To assess whether the trend is due to change in toxicity rather than change in uptake, the % of reports indicating aserious outcome can be used. If this still falls over time, then that would indicate that a higher % of the early batches
were causing severe outcomes.

Here it can be seen that for the first 35 Pfizer batch codes in alpha numeric sequence, many of these batches have ahigh % of reports of death, compared to subsequent Pfizer batches. The % of reports resulting in an outcome ofdeath is elevated in these early batches. All of them were above 1 % – most between 2% and 5%. When we look at
the subsequent batches between ordinal positions 35 and 52, we see that the % of reports resulting in death isfocused between 1% and 2 %. After batch 52, nearly all subsequent batches are focused in the 0 to 1 % range.
So there appears to be a significant decline in % of reports with an outcome of death between the batches from 0 to
80 in ordinal position.

Size of Batch and Toxicity
Here is a chart of the size of the batches vs their ordinal position in the alpha numeric batch code sequence –As you can see, the early batches (batches 0 to 36), were smaller than subsequent batches. So as a general rule, we
can say that the smaller batches were more toxic because a higher % of reports for these batches eventuated indeath. Now here is a curious thing. In the subsequent batches you can see that most of the sizes are in the range ofabout 3 million doses, but there are three batches that have a small size in the range of 600,000 each – these arebatch 40, batch 62 and batch 85.
Batch 40 also happens to have a high % (5 %) of reports resulting in death ! And both Batch 62, and batch 85 areassociated with peaks of death.
The other odd thing about these 3 small batches is that they were introduced periodically – every 22 or 23 batches.
Its possible that highly toxic batches were small, so that they could target small populations, whilst larger batches
were low toxicity, so that they would garner the support of the majority !
In the next chart you can see Toxicity plotted against batch size. Notice that the smaller batches form a distinct
cluster separated from the larger batches. Also notice that they have an elevated toxicity compared to the larger
batches. This toxicity also forms a distinct cluster – because it begins where the lower toxicity range of the larger
batches ends.

In the above chart, toxicity is measured by adverse reactions / batch size (doses shipped), where each dot is a batch.

The % of reports with hospitalization for each batch, where batches are ordered alpha numerically. This chart is very
similar to the chart for reports with death. Notice that in both cases the highest % of severe effects are occurring forbatches 15 to 40, and after 40 there is a steady decline.

The Life Threatening chart above shows a decline in life threatening conditions that parallels the decline in
hospitalizations and deaths. Note that there appears to be a higher line running parallel to the main decline, and thishigher line consists of batches 40, 62, 85, 97 – all of which are small batches interspersed amongst the large ones.

A Test to Determine if Change in Age of Recipients is the Reason
If the results are filtered for people of specific ages, and it is found that people of any chosen age still demonstrate ahigher % of serious outcomes for early batches, then this would show that the effect was independent of age ofrecipients.

A Change in Toxicity
The vaccines became less toxic over time – due to
1. Improved formulation
2. Reduced dosages
3. Decay of harmful ingredients

Conclusion
As you can see from the results above, there is a steady and constant decline in reports of adverse reactions per
doses shipped for each batch when ordered alpha numerically.
Using the snake analogy, when bitten by a relatively harmless snake one would expect fewer occasions to visit a
hospital compared to when one is bitten by a snake with potent venom. So it is logical that a more toxic batch willproduce a higher percentage of reports where there is a severe outcome. When I looked at the % of report with an
outcome of –
1.
2.
3.
4.

Death or
Disability or
Hospitalization orLife Threatening illness

in every case the initial batches generated a significantly higher % of reports where the outcomes was severe –followed by a steady decline in severe outcomes over the subsequent large batches.
In conclusion, COVID-19 vaccine effects display large variability between batches. The product is therefore
inconsistent from one batch to another.
Further research is needed to determine the cause/s.

So much is Unknown
It should always be remembered that you have a fundamental legal right to refuse ANY medical intervention. This is alegal and constitutional right, and cannot be superseded by ANY health regulation, pandemic treaty or any new laws
passed by government.
In a situation like this, were a new experimental gene therapy is being rolled out, with a mechanism that is known tobe harmful, then you have a right to say no. When so little is known it is not even possible to exercise informed
consent.