Let’s use some more CMS data (courtesy again of Tom Renz), to get a few state level death rate comparisons and URF values. We will take Renz’s presentation here (starting on page 9), which gives a state level breakdown of death (among other symptoms) for a few selected states. For example, the California slide looks like the following:
We take the death count, then go to https://www.kff.org/medicare/state-indicator/total-medicare-beneficiaries and get the total number of Medicare beneficiaries for each corresponding state:
We put those values in the spreadsheet located at the bottom of this post.
Then, we query the VAERS data for US deaths within 28 days for the 65+ age group (data through 12/3) for each of these states, then get the vaccination data for persons vaccinated with at least one dose for each state from the CDC at https://covid.cdc.gov/covid-data-tracker/#vaccinations_vacc-people-onedose-percent-pop5 (scroll to bottom of page, expand the “Data Table for Covid-19 Vaccinations in the United States”, and use the People 65+ column):
Put these values in our spreadsheet below as well. When all is said and done, we should have the following:
Sure. But how many people over 65 die every day regardless? A quick search shows me that in 2017 roughly 2 million people over 65 died. 2mil divided by 365 is 5,479. Over 70% of the population in that age range is fully vaccinated. So when we see from your chart and Renz’s work why are the death numbers of 2,000 people dropping dead a day schocking? Vaccinated or not, isn’t that number to be expected?
@mike
I think there is an important difference between death counts over the year and the CMS or VAERS counts. The latter two have a well-defined index date, the normal death count not. How can you predict that a specific person will die within a specific period of 28 days? Therefore, these estimates are very significant.
[…] Also, Wayne subsequently looked at the numbers for 9 states. The average value was 40, not far from the 41 I calculated from anaphylaxis. […]
[…] Also, Wayne subsequently looked at the numbers for 9 states. The average value was 40, not far from the 41 I calculated from anaphylaxis. […]
[…] Also, Wayne subsequently looked at the numbers for 9 states. The average value was 40, not far from the 41 I calculated from anaphylaxis. […]
The article does not support the assumption that adverse events occur at the same rate in the below-65 age group.
It’s a fair assumption that there is also under-reporting in that cohort, but nothing near certainty that the rate is identical.
[…] Part II… […]
It seems that there is a way for the public to access some of the cms data online. https://data.cms.gov/covid-19/covid-19-nursing-home-data Interestingly, about 1 of every 5 of the residents died, but only about 1 of every 300 staff members died.
Current test positivity rate by county, seems that the population numbers are too high to just be elderly and Medicaid recipients, unless everyone but me qualifies. https://download.cms.gov/covid_nhsn/test_positivity_rates.xlsx
Hi. Thank you for your service.
Does the VAERS data allow one to do a comparison of adverse events upon receiving the vaccine between “prior recovered COVID” people and “never infected” people?
How much money will the pharma mafia rake in off the patients who survive in 2-5 years from this mass eugenics project dressed as a “pandemic” who have adverse reactions? Since everyone signed a waiver of any accountability to pharma mafia on this mass human experiment without controlled studies. The patients are liable for the medical bills to follow and thanks to Trump’s jargon in the Emergency Authorization Act no one can sue the pharma mafia for damages. So who does our government protect? Not the ones paying their pay checks but the ones who buy their silence at the lobby!