US Nursing Home Data Is Devastating For Covid Narrative

Posted on October 11, 2023 by fromthefirstorder

Posted By: SpaceCommando [Send E-Mail]
Date: Wednesday, 11-Oct-2023 11:23:12
http://www.rumormill.news/230600

By Steve Kirsch – October 11, 2023We can now prove that the vaccines increased the odds of death from COVID by six percent. I need 20 data scientists to validate my work before I submit to a journalThe result is highly statistically significant. The 95 percent confidence interval is 4.2 to 7.8 percent.This is devastating because it means that the vaccine made things worse, not better.Also, that is with only about 60 percent fully vaccinated so the actual effect size on a given individual would be about a 10 percent increase in the odds of death.Emory University infectious disease Professor Carlos del Rio reviewed my work, thought it was flawed, and encouraged me to submit it to a peer-reviewed journal where he presumed it would be rejected.When prompted, he was unable to articulate a single flaw and refused to talk to me.So I’m going to follow his advice.But before I attempt that, I want to make sure I have at least 20 peer reviewers who have reviewed my work. If there is a mistake, I want to find it before I submit it to the journal.I want to make sure this is bulletproof so that the journal will not have any excuses for rejecting this important result.If you are a data scientist or epidemiologist who is willing to verify my result, this would be extremely helpful. Please sign up here.Data SourceUS Nursing home data collected by CMS from 15,410 providers who submit COVID cases and deaths within their facility weekly since week ending 5/24/20.This is the most comprehensive dataset on the single most important demographic for COVID:1. More than 40% of the COVID deaths were from nursing homes in the beginning of the pandemic.2. Older adults made up 90% of US COVID deaths in 2023.So if the COVID vaccine was or wasn’t effective for this group, this data would tell the story.This data is also the most credible because there were over 15,000 independent observers. So we can look at the aggregated results while minimizing any systematic errors as might occur if the numbers were collected by a single entity.MethodsI downloaded the raw data from the site (the .csv files). The data was processed using an R program.The code and data analysis can be found . . .[SNIP]

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