New study on 41,000 people reveals that taking vaccines INCREASES a person’s risk of hospitalization

Study omits hospitalization data for recently vaccinated to boost “vaccine efficacy”

From the onset, the study recorded a total of 103,199 hospitalizations across nine states. The study used specific criteria (ages 50 and above and CLI) to narrow the data down. The hospitalization data used in the study was only a fraction of the hospitalizations observed in the general population, and represented an even smaller fraction of the hospitalizations recorded for people over 50 years old. By simply excluding all-cause hospitalization by vaccination status, this study design could have easily removed tens of thousands of hospitalizations in the vaccinated cohort. Of the 61,647 hospitalizations excluded in the study, many were medical issues for people under 50 years old. Could the covid vaccines be unnecessarily causing medical emergencies and health issues in young people who could easily overcome the infection? That data is omitted, so it’s hard to say. The study also omitted data for repeat admissions and for instances where there were no records for vaccination or covid-19 testing.

The most shocking omission of data included hospitalizations for the recently vaccinated. The majority of adverse events and hospitalizations occur in the first week after vaccination, yet the study omits all of these hospitalizations if they are after the first dose. There were 1,872 hospitalizations in this recently vaccinated category, a category intentionally left out to deceive the public.

Diagnostic fraud and data distortion being used to deceive the public

The fraud doesn’t end there. The study configured “vaccine efficacy” by artificially reducing the total number of CLI in the vaccinated cohort. This was done using disparate cycle counts during PCR “confirmation” of covid-19. The study depended on the fraudulently-calibrated PCR test, which are used to inflate official covid cases in the unvaccinated, to artificially reduce the number of covid cases in the vaccinated, and to ultimately promote a high vaccine efficacy percentage. A lower cycle count for the vaccinated removed all the false positives, reducing the official covid case count only for the vaccinated. In fact, when the PCR test is taken out of the equation,, cases of CLI remain steady across all three groups, the unvaccinated, the partially vaccinated, and the fully vaccinated.

Even though the CLI diagnosis remains steady among all three groups, the reported “covid cases” for the fully vaccinated is significantly lower (due to lower cycle thresholds being used for the fully vaccinated). This is diagnostic fraud and data manipulation to make a product (the covid-19 vaccines) appear as though it is stopping a specific illness. That illness is not properly defined, PCR cycles are not absolute or definitive in their diagnosis, and the ensuing distortion of data is used to fool the public about the “effectiveness” of an experimental gene altering product.

If the study calculated vaccine efficacy by taking into account all the CLI admissions (including the omitted 1,872 hospitalizations for recently vaccinated individuals), then the vaccine efficacy falls to a net negative value of -13 percent! This means that taking these experimental vaccines actually INCREASES a person’s risk of hospitalization.

For more on the latest vaccine fraud, visit ScienceFraud.News.