Expert evaluation on adverse effects of the Pfizer-COVID-19 vaccination

Institute of Microstructure Technology, Karlsruhe Institute of Technology (KIT) Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen , Germany;

podarcissicula@gmail.com

I, Hervé Seligmann , am writing this evaluation at the request of Haim Yativ , for submission to the Israel Supreme Court.

I am a biomedical researcher of Israeli and Luxemburgish nationality, with over 100 peer-reviewed international publications. My proven record includes detecting in widely known and publicized data phenomena that escaped previous examinations. This includes the descriptions of two previously unknown types of RNA transcriptions, and of unsuspected structures in the genetic code that link gene and protein structures. I worked 5 years with Professor Didier Raoult at the Institut Hospitalo - Universitaire in Marseille, a first rank microbiology institute in the study of infectious diseases. I am an independent researcher with no conflicts of interest.

A priori, the Israeli RNA-based vaccination has several potential risks. Vaccination works as a prophylactic. Vaccination of individuals while they are exposed to a pandemic has several adverse consequences. 1. Vaccination processes usually imply temporary immune system weakening, before vaccine-induced immunity is acquired. Hence, the vaccinated are fragilized during the vaccination process, and more likely to develop any diseases against which the immune system usually defends the body. This includes any viral and bacterial infections, and individual cancer cells that would escape extermination by the immune system during this period it is weakened. This could cause cancer in the medium- or long-term. 2. In the long-term the antibodies induced by the RNA vaccine will cause autoimmune reactions to the cells producing the viral protein encoded by the vaccine RNA, and to cells with natural human proteins resembling the viral protein encoded by the vaccine RNA. 3. Massive vaccination will select vaccine-resistant viral variants with likely catastrophic effects, especially on the vaccinated. 4. RNA from the vaccine will in some cases integrate chromosomes of the vaccinated, with potentially harmful consequences difficult to evaluate at this point.

Reanalyses of two separate bodies of data, one published by the Israel Ministry of Health (Table 1) and one by the team of Dan Balicer from Clalit (Figure 1, reanalysed from Dagan et al 2021), indicate adverse effects due to the 5-week vaccination process, as compared to the unvaccinated. Eight among ten authors of Dagan et al disclose receiving funds for other projects from Pfizer. Pfizer is also a main funder of the Ministry of Health. Hence, these are not unbiased, neutral and independent bodies, which is required for any study, and especially studies with such crucial consequences.

Tables 1 and 2 show that death rates for each category within and after the vaccination process are greater than for the unvaccinated, as defined by those that did not yet get any vaccine dose, and when accounting for differences in sample sizes and in durations of the different vaccination statuses. This effect might be confounded by differences in ages for the different groups. Transparency, meaning additional data in relation to age and risk classes, is requested to answer this and other questions. Table 1 are data from the Ministry of Health published in a Ynet article released on February 11. Table 2 is for data released on March 11.

In addition, reanalyses of the data presented in table S7 of the new England Journal of Medicine, published by the team of Dan Balicer (Dagan et al 2021) shows a 3-fold increase in the daily COVID- 19 detection rate during the first 7 days after first dose administration. The rate decreases to its initial baseline and stabilises at that rate between days 20 to 28 after first dose administration. It decreases below that rate after that, indicating vaccine protection from day 35 on after first dose

Community

Mean Serious Critical Died Total Days

25 56 17 35 1202 7

1 10 1 4 295 9

Died/day/tot

0.00416

Died/ unvacc

>60 years 13075

314 865 183 636 15396

1st 10724

277 742 152 546 12700

0-13d 6235

166 465 81 344 7438 14

0.003303

14.60

>13d 4489

111 277 71 202 5262 7

0.005484

24.23

2nd 2351

37 123 31 90 2696

0-6d 1043

11 57 13 51 1199 7

0.006076

26.85

7-14d 1037

18.38

>14d 271

0.001507

6.66

<60 years 28018

92 166 37 24 28475

1st 25926

87 153 34 22 26347

0-13d 19461

66 124 29 17 19793 14

0.0000613

23.86

>13d 6463

21 29 5 5 6552 7

0.000109

42.40

other 2

2

2nd 2092

5 13 3 2 2128

0-6d 1167

0 4 1 2 1182 7

0.0002417

94.00

7-14d 761

4 8 2 0 779 7 0

>14d 164

1 1 0 0 167 9 0

All ages 41093

406 1031 220 660 43871

Unvaccinated, >60 years 0.00022631

Unvaccinated, <60 years 0.00000257

Low 323 259 147 112

64 24 32

8 138 125 96 29

13 8 4 1 461

Table 1. COVID-19 state according to vaccination status and according to two age classes, as of February 11. Our additions are highlighted. Death rates per day for unvaccinated are estimated for the 303 days from March 1 to December 20, before vaccination (data from worldometer : 374760 total cases, 3099 deaths). Percentages of cases and deaths for the two age classes (below and above 60 years) are calculated from age-stratified data published by the health insurance company Clalit since the pandemic started until March 22 2021 (Table 3. Table 4.), https://www.clalit.co.il/he/your_health/family/Pages/corona_in_israel.aspx (those above 60 are 11.049% of all COVID19 cases and 91.62% of all COVID19 deaths).

COVID-19 status\ Vacc . status Unvacc . Community (asymptomatic) 358454 Light 3257 Medium 1454 Serious 3381 Critical 714 Deceased 1566 Total 368826

1 st dose 51571 587

466

1083

172

709

54588

2 nd dose < 7 days 7675

100

54

165

17

84

8095

2 nd dose > 7 days 4622

106

59

149

37

105

5078

Days 80 21 7							~26 (1-52)
	Dead per day/total/10000		0.531	6.18		14.82	7.95 (210-3.98)
	Mortality increase vs unvacc .				11.65	27.92	14.99 (390-7.49)
	Percent asymptomatic		97.19	94.47 94.81			91.02
	Percent/day symptomatic		0.0352		0.2632	0.7412	0.3454 (8.98-0.17)
	Increase symptomatic/ unvacc .	7.49 21.09					9.83 (255.46-4.91)

Table 2. Table from https://correctiv.org/faktencheck/2021/03/11/covid-19-in-israel-nein-die- impfung-erzeugt-keine-40-mal-hoehere-sterblichkeit/ . Data from the Health Ministry show the COVID-19 cases for the period from December 20 until March 10. (Screenshot: CORRECTIV.Faktencheck ). Translated from the Hebrew into English. Our additions are highlighted . Mortality rate increases are all statistically significant at P < 0.0001.

Figure 1. Daily vaccinated COVID-19 incidences vs days since 1 st dose. Baseline: day 1 COVID-19 incidence. *: P < 0.05 vs baseline. Data from Dagan et al N Eng J Med 2021; 10.1056/NEJMoa2101765

administration, which is 14 days after the second dose. COVID-19 detection is the only adverse event reported by Dagan et al. This suggests an overall weakening of the immune system within the 3 weeks between doses. Figure 1 suggests that if one decides to get vaccinated, a hard 5-week quarantine is essential to avoid any exposure to contamination during the vaccine-induced 3-week immune system fragilization, as well as a 2-week before 1 st dose administration, to avoid vaccinating those that are already infected. Because vaccination causes a 3-fold increase in COVID-19 infections in the vaccinated during the first weeks after the first dose, a hard quarantine is required to decrease this effect, and to avoid further contamination of others during that period. Balanced evaluation of short- and long-term vaccine benefits requires cumulating all adverse event types during and after the vaccination process, as compared to before initiating that process.

Both data bodies (Table 1 from the Ministry of Health and the data from Dagan et al in Figure 1) were initially presented as evidence favouring vaccination. However, straightforward analyses of these data highlight adverse effects. They confirm our original suspicion that the vaccination fragilize the immune system of the vaccinated, not only during the vaccination process, but even after full vaccination (in Table 1, the fully vaccinated die 15 times more than the unvaccinated). The raw data on which the Dagan et al publication from Clalit is based are unavailable. These data are required for transparent independent assessment of conclusions of a publication with such consequences. Current circumstances do not live up, even from far, to this basic standard requirement.

Before continuing the massive vaccination project, these adverse effects must be examined and carefully evaluated vs positive effects. The precautionary principle is the first priority of those responsible for public health and its urgent application is required at this point, especially when the whole population of a country, including its youth, is at stake. Re-evaluation of the project requires age- and vaccine-status-specific data for all individuals, including those who died and those who did not die. Such a classical and transparent cost-benefit analysis could prevent catastrophic consequences, especially considering that the data were collected and published by teams that are not absolutely independent of the company that produces and sells the vaccine.

Hervé Seligmann

Table 3. Percentages of cases for the age classes, data published by the health insurance company Clalit since the pandemic started Feb 2020 until March 22 2021 .

From: https://www.clalit.co.il/he/your_health/family/Pages/corona_in_israel.aspx

Table 4. Percentages of deaths for the age classes, data published by the health insurance company Clalit since the pandemic started Feb 2020 until March 22 2021 .

From: https://www.clalit.co.il/he/your_health/family/Pages/corona_in_israel.aspx