By MyWay

Proofreader: Youri


Based on increased number of infections which occurred after mass vaccination and the flaws in vaccine effectiveness calculation, the real effectiveness of vaccines is closer to zero.

From lifesitenews in Jun 7, COVID hospitalizations, deaths for the vaccinated more than tripled in one month; a total of 10,262 SARS-CoV-2 vaccine ‘breakthrough infections’ – defined as coronavirus infections in fully vaccinated people. At the same time in Canada, the outbreak in long term care home has been ongoing since May 17 and has infected 30 people. This includes 18 residents, and led to two deaths although 96% of residents and 43% of staff are fully vaccinated. Furthermore, Seychelles, the world’s most vaccinated country is seeing an unprecedented spike in coronavirus cases. 

Many doctors and specialists believe it is due to antibody dependent enhancement, or ADE. ADE is a response to the wild virus in which vaccinated people (or animals) experience a hyper-immune response which sets off dangerous inflammatory processes of disease – basically, and ironically, creating the worst outcome for the disease among those who have been vaccinated.

Taiwan, Malaysia, Cambodia and Thailand all have very little infection rate before mass vaccination in the chart below. Could this all be a coincidence? More and more people are wondering how effective the vaccine really is.

From Pfizer’s we HYPERLINK “”b HYPERLINK “”site:  the primary efficacy analysis demonstrates BNT162b2 to be 95% effective against COVID-19 beginning 28 days after the first dose;170 confirmed cases of COVID-19 were evaluated, with 162 observed in the placebo group versus 8 in the vaccine group.

Let’s analyze how Pfizer’s calculated the effectiveness they claimed.  In the Pfizer clinical report, 8 people in the vaccination group were infected with the new coronavirus, compared to 162 in the placebo group.

Based on calculation formula of vaccine efficacy

Vaccine Efficacy = 1 – Risk ratio

= 1 – (# of people got infected in the vaccine group) / (# of people got infected in the placebo group)

= 1 – (8 people infected in the vaccinated group / 162 people infected in the unvaccinated group)

= 1 – 0.05%

= 0.95%

Now let’s check whether his calculation is reasonable. First of all, there are 100 more people in the unvaccinated group than the vaccinated group, so the data already favors the vaccinated group. Despite that, the fundamental flaw in the efficacy calculation is that the number of people who got infected from the vaccinated group and unvaccinated group are 8 and 162 respectively which is too insignificant compared against the total number of people in the group i.e. 17411 and 17511, therefore there is no statistical significance difference between two groups.

In other words, if use this data to calculation the chance of people not getting infected from each group:

Chance not to be infected after vaccination = # of not infected people / total people in the vaccinated group = 17403 /17411 = 99.95%

Chance not to be infected without vaccination: # of not infected people / total people in the unvaccinated group = 17349 /17511 = 99.07%

As we can see, whether a person gets vaccinated or not, they have greater than 99% chance of not getting infected by COVID-19, the difference between the vaccinated and unvaccinated is less than 1%.  The data for Moderna and Janssen Based have similar results.

Based on Piero Olliaro’s calculation in article published in lancet, the real effectiveness is 1.3% for the AstraZeneca–Oxford, 1.2% for the Moderna–NIH, 1.2% for the J&J, 0.93% for the Gamaleya, and 0.84% for the Pfizer–BioNTech vaccines.

Both in terms of increasing infected cases on fully vaccinated people and statistical analysis on Pfizer’s clinical data, vaccines did not offer any protection against COVID-19 infection and do not contribute any help to pandemic control. On the contrary, due to the ADE effect, the vaccinated will become more susceptible and have more severe infections when exposed to variants.

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