New paper shows clearly that COVID vaccines increased mortality in nursing home staffA new paper by Girma and Paton shows a dubious, small short lived benefit in initial vaccination in nursing home residents, but the clearest result was an increase in mortality in the staff.Executive summaryA new paper by Girma and Paton showed by using machine learning a small but dubious (and short lived) benefit for nursing home residents in 2 of 3 metrics. But the big news is the impact on the nursing home staff. There, the impact on BOTH covid deaths and all-cause deaths was 100% consistent in all 7 time periods and for each vaccine dose: it always made things worse, and for the primary series, every single one of the 14 measures were highly statistically significant (99% confident). This is yet another paper showing continuation of COVID vaccination is nonsensical. But the data doesn’t seem to matter and nobody wants to talk about it. As usual, expect the mainstream media to ignore this important paper as they do for any paper that shows that government officials and health authorities weren’t telling the truth. Conclusions of the paperSummarized by this excerpt:
My English translation: “Normal methods didn’t show a benefit, so we applied machine learning and found a small benefit (saving the lives of a few people per 100,000 vaccinated), but only in 2 of the 3 measures we used and ONLY in for the first dose and ONLY for residents. But going forward, it’s really clear there is no benefit whatsoever, so we are baffled as to why the healthcare authorities would be pushing a drug that clearly has no benefit whatsoever and which appears to make things worse.” Impact of COVID vaccination on staff was NEGATIVE and HIGHLY statistically significantTake a look at Table 6a and 6b. A positive number means it made things worse. This is the rate per 1,000 people in the period. The number in parens is the standard error. If the standard error is small with respect to the value, it is statistically significant. The number of asterisks (*) gives you the amount of statistical significance. One star is low (90% confident), two stars means “statistically significant” (95% confident), and 3 stars means very highly statistically significant (99% confident). All 14 data points for the primary course were all HIGHLY statistically significant (99% confidence): the vaccines increased COVID deaths and all-cause deaths. This is stunning. The booster data was similar with every single datapoint being positive, but there were fewer COVID cases and deaths among those who opted to be boosted so fewer values were statistically significant. Announcement of the paper on XSummaryIt shows clearly that for nursing home staff, vaccinations made them more likely to die (from both COVID and all-cause mortality) and the results were highly statistically significant (99% confidence). The benefit for residents was very small and only for the first course (and was only in 2 out of 3 measures; if it was a significant effect, all 3 measures should have been triggered). We were assured that vaccination would reduce death, not increase it! This paper is yet another example that we were lied to. I have yet to find a single health authority in the world who is willing to have a public dialog on the evidence. I asked for this Wednesday in Santa Clara County and the chief health officer, Sara Cody, completely ignored my appeal to stop the misinformation. You're currently a free subscriber to Steve Kirsch's newsletter. For the full experience, upgrade your subscription. |
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