2021-10-13... png
(1.07 MB, 1595x6710)
2021-10-13... png
(1.07 MB, 1595x6710)
Harvard Research Confirms What We've Been Saying for Months: There is not evidentiary correlation between cases and vaccination rates
I have no idea how this paper made it past the censors but there it is! This was published a month ago but didn’t receive much fanfare and now we know why—it confirms what we’ve been saying for months now: the vaccines have not stopped and likely will not stop the pandemic.
Back in July we tweeted that the CDC data mapping vax rates to COVID-19 case rates shows ZERO impact of the former on the latter:
SEE CAP
We’ve written in these pages multiple times about the same phenomenon. Yesterday, Dr. Jay Bhattacharya of Stanford tweeted:
“There is a lot to learn from this graph, but most obviously, the COVID vax does not stop infection. The vax provides a private benefit (protection vs. severe disease), but limited public benefit (protection vs. disease spread). So what is the argument for mandates?”
Now this Harvard research notes:
At the country-level, there appears to be no discernable relationship between percentage of population fully vaccinated and new COVID-19 cases in the last 7 days (Fig. 1). In fact, the trend line suggests a marginally positive association such that countries with higher percentage of population fully vaccinated have higher COVID-19 cases per 1 million people.
SEE CAP
They conclude:
The sole reliance on vaccination as a primary strategy to mitigate COVID-19 and its adverse consequences needs to be re-examined, especially considering the Delta (B.1.617.2) variant and the likelihood of future variants
Feel some vindication folks. We were right.
https://covidreason.substack.com/p/harvard-research-confirms-what-weve
Subramanian-Kumar2021_Article_IncreasesInCOVID-19AreUnrelate-1.pdf