Exposing distortions in the NEJM scientific publication on the efficiency of Pfizer's vax

[חיים יטיב]

10.March update:
an association of 30000 M.Ds presented our analyses for challenging the vaccination campaign in France,see report in francesoir.fr and Nexus youtube channel here.



(this article has been published in hebrew first here on march 1 2021)

Exposing distortions in the Israeli/American team's scientific publication on the efficiency of Pfizer's vaccine

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On 24/02/2021, the New England Journal of Medicine published a presumably scientific article attempting to prove the efficiency of Pfizer's vaccine, entitled:
BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Setting, by Dagan et al 2021.
We show that this article does not prove the efficiency of Pfizer's vaccine, and even confirms our previous findings that the vaccine kills more than protects.

In order to understand how claims in an article in a highly respected scientific journal can be opposite to its data we note the article's authors according to the comment by Dr Jaffa Shir Raz (see her post on FB here), eight among ten coauthors got funds from Pfizer,as detailed in there disclosure pdf, hence, most of the authors are in a situation of conflicts of interests, especially Professor Ran Balicer, the research team's leader.

See as well the post here by Iris Atzmon.


Professor Ran Balicer is the chief scientist for the Israeli Health insurance company KupatHolimKlalit and is a member of the Israel Health Ministry team for epidemics and is the leader of Health ministry research presumably proving vaccine efficiency. Hence, he got the exemption from the requirement for informed consent from the participants. This means that citizens of this Laboratory state are with no legal protections at all. It seems that at the state's apex there is the wish to prove by any means the vaccine's efficiency.

The article by Dagan et al also shows that the database it uses is not publicly available. In other words, "trust us that we write the truth and don’t ask questions".
Now we analyse the data. In fact, from this long article the most important information is from page 45-54 in the tables from the Supplementary appendix.


Dr Hervé Seligmann commented on the basis of these tables: The initial situation for the vaccine-treated vs the unvaccinated control groups differs, meaning that these groups were not randomly chosen from a pool of individuals. Indeed, there are on the first day of vaccination 172 positive COVID-19 cases among the 596618 vaccinated, vs 359 cases, more than twice, among the controls that same day. The probability that this would occur by chance is 1 in 5.813.953.488.372.093, meaning P =1.72x10-16.
This means that there is a greater chance to win two consecutive times jackpot at the lottery than to get randomly such a difference between the two groups.

In addition, on that 1st day of vaccination, 52.3% of COVID-19 cases were symptomatic, while these were 63.2% among the unvaccinated COVID-19 cases on that day. The initial state of the hospitalized also differs on that first day of the vaccination process. On that day there were no hospitalizations among the vaccinated vs 6 among the unvaccinated.

What does that mean? This means that the treated group, those vaccinated, were apparently carefully chosen to have half the morbidity than in the unvaccinated group. Or, deciding the results before starting the experiment.

The trick does not end here. Examining the morbidity data of the vaccinated, one sees that within the 7 first days after initiating the vaccination process, the COVID-19 incidence rate increases by almost 3X, from 29/100000 to 84/100000, while the rate for the unvaccinated varies randomly within the range between 60 and 74/100000. This sudden increase in COVID-19 incidence among the vaccinated has for only explanation that relates to our previous observations on the matter, that the vaccine stimulates the infection by COVID-19 among the vaccinated, within the first days after the first dose, see our previous article The uncovering of the vaccination data in Israel reveals a frightening picture
And our article in hebrew from February 1st 2021 "Can one show that the vaccine from Pfizer is today's major cause for high death rates in Israel and the world?".

See the figure below by Hervé Seligmann showing the increase in COVID-19 incidence rates among the vaccinated from the data in Table S7 in Dagan et al 2021.


Surprisingly, in the data from the research by Dagan et al 2021, this sudden increase in COVID-19 cases is not reflected by an increase in COVID-19 deaths, of which there are none until day 11 post first vaccine dose. Considering the data from the table in the Ynet article on 43871 vaccinated Israelis that we previously analysed, and considering reports from the USA-based VAERS, it is clear that this mortality post vaccination is highly improbable.
Today a professor in epidemiology from an US university contacted me in relation to a previous article with interesting comments. He added a table that shows well mortality after the mRNA vaccines according to time, from reports to VAERS, see table below.

The table shows that postvaccine deaths happen mainly within the 4 first days after vaccination.
see as well our article feb.14.21
unusual proportion of deaths in reports on vaccine reactions from January 2021

It is hence impossible that within a group over half a million vaccinated no one died within the first week after vaccination, while the COVID-19 incidence rate in that group tripled during that time. This shows with high likelihood that Dagan et al 2021 arbitrarily excluded individuals among the vaccinated that did not match a predetermined result, and/or whose pathology is not believed related to COVID-19.

More analyses by Dr Hervé Seligmann and myself of the data from Dagan et al 2021 we found an additional phenomenon challenging the reliability of Dagan et al 2021. Among the 596618 unvaccinated, there are 32 deaths within the 44 days of the vaccination data gathering, 5.3/100000. This matches the Ynet table shown below that, as we suggested spans for a period of 18 days.in the updated article in Hebrew,






Among the vaccinated, there are only 9 deaths among 596618 and within 44 days, hence 1.5/100000. This does not match at all the Ynet table that shows 50 deaths among 100000 for a similar period, see here.


We can vet this by examining death data for that period from data from the Israel Ministry of Health. From December 19 2020 until February 1 2021, 1742 Israelis died from COVID-19, meaning 40 per day for an adult population of 6.5 millions. Hence, during that period, 0.61/100000 died per day, hence, 27/100000 cumulated over 44 days.

Considering that the unvaccinated in Dagan et al 2021 had only 5/100000 for that period and considering that this death rate corresponds to the death rate observed before the vaccination started on December 19 2020, we conclude that the 27-5 =22/100000 deaths from the vaccination period should be from the vaccinated subpopulation, as we observed in the Ynet table and as indicated by the reports from VAERS.

The conclusion from all the above is that the research by Dagan et al 2021 may be the greatest fraud ever in science since the hydroxychloroquine scandal in the Lancet.

The fraud does not end here, despite all the mentioned above on vaccine-related COVID-19 deaths and ignoring vaccine-induced secondary effects. I wrote today to the head of commission for examining misleading the public at the Ministry of Health, all the data are meaningless as long as one ignores post-vaccine deaths due to heart arrests, strokes and like events. Indeed, COVID-19 deaths can be reduced to null if all fragile individuals among the population are shot with a .357 magnum revolver before COVID-19 can kill them, and this does not transform the gun into a good vaccine.
I thank Dr Hervé Seligmann for help in examining data from Dagan et al 2021.

The Dr Seligmann more scientific report of this analyses is attached here and below.

Haim Yativ