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posted 3 years ago by nothingberg 3 years ago by nothingberg +30 / -1
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– ArcaneSlang 1 point 3 years ago +1 / -0

From 2007 to 2010, computer scientist Ross Lazarus and medical doctor Michael Klompas led a study at Harvard Pilgrim Healthcare, Inc. on behalf of the U.S. Department of Health and Human Services (HHS) to identify ways to use Health Information Technology to improve reporting to the Vaccine Adverse Events Reporting System(VAERS).[1] They discovered that 2.6% of all vaccinations led to adverse events. From their review of the literature and their own independent findings, they concluded that VAERS undercounts actual harms from vaccines by a factor of 10 to 100. They built a prototype so that all electronic medical records anywhere in the country could automatically submit a report to VAERS (thus solving the underreporting problem) at which point HHS stopped returning their calls and cut off all contact.

The underreporting problem obviously had not gone away, instead, HHS just decided to cover it up through omission.

In response to the astronomical rates of adverse events following Covid-19 injections, independent researchers have once again attempted to calculate the rate at which harms are underreported to VAERS (referred to as the Under Reporting Factor or URF). Steve Kirsch [2] and Dr. Jessica Rose [3] have calculated the URF at 31x to 51x in a number of different ways — basically in the middle of the range originally calculated by Lazarus and Klompas.

[1] https://digital.ahrq.gov/sites/default/files/docs/publication/r18hs017045-lazarus-final-report-2011.pdf

[2] https://stevekirsch.substack.com/p/vaers-myths-busted

[3] https://cf5e727d-d02d-4d71-89ff-9fe2d3ad957f.filesusr.com/ugd/adf864_0490c898f7514df4b6fbc5935da07322.pdf

[4] https://icandecide.org/wp-content/uploads/2022/10/Pages-from-0522-v-safe-Productions-Through-2022-07-12-2.pdf

[5] https://icandecide.org/v-safe-data/

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