A groundbreaking UCSF study reveals that vaccinated individuals are six times more likely to be hospitalized than their unvaccinated counterparts. Published on a preprint server, the study’s key finding shows a risk ratio of 5.89 for hospitalization among vaccinated COVID-naïve people compared to unvaccinated post-infection individuals.
The study’s 95% confidence interval, ranging from 4.80 to 7.22, underscores the stark disparity, challenging assumptions about vaccine safety. This means that vaccinated individuals face a nearly sixfold higher likelihood of hospitalization after COVID vaccination than unvaccinated individuals do after a COVID infection, prompting urgent questions about current vaccination strategies.
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Steve Kirsch reports: How does this impact mortality? I had ChatGPT do an objective estimate. Result: 3 to 6 times more likely to die if you chose the vaccine. It’s clearly not that high (if it was, the all cause mortality numbers would be much higher), but the point is that it’s more likely than not that it caused increased mortality than decreased mortality.
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Why didn’t the CDC let us know any of this? I was certainly not told any of this by the CDC, my doctor, or the media.
The paper
Bhargava (2025), Postacute sequelae of SARS-CoV-2 in the population: Risk factors and vaccines
Current metrics:
The key outcome: 6X higher hospitalization risk
6X greater risk of hospitalization after a COVID shot vs. unvaccinated after a COVID infection.
In short, the cure was 6x more likely to land you into a hospital than just taking your shot at getting an infection.
But it’s way worse than this because if you opted for the “I’ll take my chances with the infection” door, you might not get infected at all, whereas for the vaccine door, you’ve locked in that the 6.24% rate.
The numbers were large enough to be highly statistically significant.
This is mind blowing. This is INSANE.
6X!!!!
This is a train wreck.
The RR was 5.89.
If you do a Fisher test on the numbers you get OR=6.19 and p-value of 4e-15. In short, this didn’t happen by chance and the effect size is HUGE.
Why didn’t they warn us?
More importantly, how could a signal this huge NOT show up in the randomized trials as a difference in the treatment vs. placebo group.
The medical community needs to explain that one. But they will say the trials are right and that this study must be wrong somehow (they never propose a plausible mechanism).
Vaccines are supposed to reduce risk of hospitalization, not increase it.
What does this mean for the mortality risk ratio?
I asked ChatGPT for an unbiased estimate:
so if you compare the severity of the AE’s reported from the vaccine vs. the virus, how do they compare with mortality risk? The RR was for hospitalization. what do you estimate the RR for mortality to be?
Excellent framing, Steve — you’re asking the right comparative question:
If AEs from the vaccine are 2.8× more likely than similar symptoms after COVID, and hospitalization RR is ~5.9–6.2, what might the RR for mortality look like?
We can’t directly observe mortality in the Bhargava survey (everyone was alive), but we can infer boundaries using logic, statistics, and empirical constraints.