VA Data Shows COVID Boosters Increased Risk of Hospitalization and Flu Shots Don’t Work
By STEVE KIRSCH
My updated analysis of VA hospitalization data shows your first shot might reduce your risk of hospitalization, the second shot did nothing, and the booster made things worse. Flu shots did nothing.
Executive summary
Today, I did a Fisher exact test on the propensity-score adjusted data in the Xie paper and the results were revealing:
- If you got just one COVID shot, there was a 10% reduction in hospitalization
- If you got 2 COVID shots, there was no additional benefit
- If you got the booster, your benefit diminished to just a 3% reduction in hospitalization risk so it reversed the benefit you got earlier!
- If you got a flu shot, there was basically no benefit whatsoever in terms of hospitalization reduction (a 1.8% benefit)
- None of the above results were statistically significant.
Bottom line: The first shot might have had a narrow benefit, but the second and third shots can’t be justified at all. We shouldn’t be giving these shots unless the benefits outweigh the risks. Previous articles have pointed out that the shots increased infection risk and increased the case fatality rate, and that’s before we even consider the vaccine-caused increase in non-COVID all-cause mortality.
So this new information doesn’t change anything: you shouldn’t get the shots at all.
Here are the calculations
Statistics for dose 1 only = 421 103 8575 2300 8996 2403 11399
One-sided p-value 0.2237717093928315
Two-sided p-value 0.44280492830474005
Max likelihood estimate of the Odds ratio= 1.0963145028647212
Traditional OR= 1.0963231339692603
95% Confidence Interval(low=0.8772108708050249, high=1.3803252322420094)
Statistics for primary series benefit = 1985 492 7011 1911 8996 2403 11399
One-sided p-value 0.04870272401590869
Two-sided p-value 0.09486104178727314
Max likelihood estimate of the Odds ratio= 1.0996957927882844
Traditional OR= 1.0997048192561514
95% Confidence Interval(low=0.9832366472918711, high=1.2313456876988418)
Statistics for BOOSTER benefit = 4986 1311 4010 1092 8996 2403 11399
One-sided p-value 0.23051618753054964
Two-sided p-value 0.459976483563565
Max likelihood estimate of the Odds ratio= 1.0356821969194545
Traditional OR= 1.0356853860771413
95% Confidence Interval(low=0.9450890735997887, high=1.1348349873690617)
Statistics for INFLUENZA vaccine = 5743 1524 3253 879 8996 2403 11399
One-sided p-value 0.3607081043412625
Two-sided p-value 0.7024320102170791
Max likelihood estimate of the Odds ratio= 1.0182583278503825
Traditional OR= 1.0182599466028934
95% Confidence Interval(low=0.9261636742375395, high=1.1191195195638168)
Summary
The VA data shows additional COVID shots are not beneficial.
The data again confirms that the influenza vaccine doesn’t work at all.
Finally, even if the small hospitalization benefit of the first COVID shot was statistically significant, the effect size is too small to be meaningful, especially in light of the fact that the COVID CFR which didn’t drop after the vaccine rolled out and that one in 6 people reported COVID vaccine adverse events in a recent public poll in Germany.
Bottom line: The data keeps telling us that the COVID shots are nonsensical and should be immediately halted, but health authorities aren’t paying attention to the data.
Original source: https://kirschsubstack.com/p/va-data-shows-covid-boosters-increased