Research Report on COVID-19

many other illnesses. Ironically, the FDA presented a similar list of potential injuries from taking the Covid shots. However, both agencies continued to shout the safety of these shots, even though they clearly knew the shots could cause serious harm in a myriad of ways. Most people knew nothing of these risks before taking the shots. https://www.cdc.gov/vaccines/acip/meetings/downloads/slides-2020-09/COVID-03-Shimabukuro.pdf This CDC study is a prime example on how flawed vaccine registries and data massaging may have biased the results. This study presents favorable data for the shots preventing hospitalization, but to its credit, it lists many study limitations, stating that the vaccine effectiveness rates were imprecise and should be interpreted with caution. Without sound vaccine data, these studies hold little weight. In the fifth paragraph, data massaging appeared to occur with excluding certain patients for the analysis. Only 25% of the eligible patients were included in the study, and no explanation was given on how they were chosen. An additional 7,500 patients were also excluded without reason. A sound statistician can manipulate data and include certain patients to get the desired results. Moreover, no explanation was given on why the unvaxxed patients were in the hospital. Just know that unvaxxed patients are tested more often than vaxxed patients and are usually in the hospital for other reasons besides Covid. In Table 1 of the study, they included substantially more unvaxxed patients in this study who tested both positive and negative for Covid. Again, it appears that data massaging occurred to get the desired results, which contradict completely with this study. This CDC study also used data from vaccine registries, and for insight on this tricky topic, click here. https://www.cdc.gov/mmwr/volumes/71/wr/mm7115e2.htm This CDC study on breakthrough cases also used smoke and mirrors to give the desired illusion. Even though the PCR test is erroneous, this study claimed that only a small fraction of vaxxed people experienced a breakthrough infection in the US. However, the study listed the following statement as a limitation which says everything — "The number of reported COVID-19 vaccine breakthrough cases is likely a substantial undercount of all SARS-CoV-2 infections among fully vaccinated persons. The national surveillance system relies on passive and voluntary reporting, and data might not be complete or representative. ” Nothing else needs to be said here. https://www.cdc.gov/mmwr/volumes/70/wr/mm7021e3.htm CDC lies by stating that there are only four serious outcomes from Covid vaccines. They keep using the word “rare.” If a legitimate tracking system isn’t in place, how does one know if these injuries are rare or not? VAERS only captures less than 1% of all vaccine injuries/deaths. https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/safety-of-vaccines.html If a person gets a Covid vaccine and is hospitalized within 14 days, that person is still considered unvaxxed in this study. These studies never attempt to associate vaccine administration with a person getting sick or being hospitalized. They direct all attention to their unvaxxed status, which is deceptive. https://www.cdc.gov/mmwr/volumes/70/wr/mm7034e5.htm CDC’s surveillance system for monitoring Covid breakthrough cases and deaths was passive, meaning that health departments voluntarily reported thei r state’s breakthrough cases to the CDC. It also appears that not all health departments participated in this process. Thus, the system for monitoring breakthrough cases was never consistent. Again, the PCR tests are pointless, but it’s notable to mention that CDC ’s method for tracking vaccine effectiveness was inept. https://www.cdc.gov/coronavirus/2019-ncov/php/hd-breakthrough.html Nearly half of those who allegedly died from Covid also had flu or pneumonia, so what really killed them? Also, how does a doctor know what “initiated the chain of events” if one has 3-8 comorbidities? https://www.cdc.gov/nchs/covid19/mortality-overview.htm

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