In this Substack, using Chile as an example nation, a statistically-significant increase in ICU admissions per million followed from having a higher share of the population COVID-jabbed in the 6 months prior.
This current Substack extends the analysis to 15 total nations with jab data and ICU admissions data at or near 2 Sep 2022. Here are the overall results:
Because Chile was an outlier, and also an influential point, the regression was performed again but with Chile removed:
While the resulting regression failed to reach statistical significance, it is still informative regarding the official claim — made by health officials worldwide — that COVID jabs cut ICU admission rates.
The evidence base available here shows that they do not cut ICU admission rates.
No protective effect from COVID jabs is shown here for ICU admission rates, only the faint indication of the opposite of protection: harm.
While correlation is not sufficient in order to invoke causation, correlation is necessary for claims of causation. If a health official claims that something reduces something else, then there must be a negative correlation between those two things.
Correlation is a necessary component of causation.
Without the correlation indicating that that particular cause is really leading to that particular effect, the claim is groundless.
Reference
[ICU admission rates] — OWID. https://ourworldindata.org/covid-hospitalizations
[jab rates over the prior 6 months] — OWID. https://ourworldindata.org/covid-vaccinations