That analysis doesn’t make sense to me.
Plus i’m not sure of your point.
.
Round off to 100 million fully vaccinated.
300K adverse events is 0.3%
5K deaths is 0.005% death rate
These numbers are not at all alarming.
.
but i still don’t believe or trust the CDC so i’ll take them with a grain of salt.
These numbers are not at all alarming.
Not alarming based on what?
I’ve read that previous, REAL vax’s have been pulled, for much less number of deaths....so, 5K deaths IS alarming, to me.
I posted this here a couple weeks ago so this is a repeat...:-) Note: The CDC even suggests a couple of other vaccines to compare the covid numbers to.
Apparently there are a lot of freepers who do not understand how VAERS analysis works. Naturally they do not compare the number of heart attacks or deaths to the number in the general population. 8,000 people a day die in the U.S. They do not report those deaths to VAERS. Only adverse events (including deaths) connected to the vaccine are supposed to be reported and then some day evaluated for causation (it sometimes takes years so I wasn’t being snarky when I said “some day.”) The 4,674 “after vax deaths) and over 300,000 “adverse events reports” are unprecedented in VAERS 31 year history.
This is from Vaccine Adverse Event Reporting System (VAERS) Standard Operating Procedures
Please note: PRRs compare the proportion of a specific AE following a specific vaccine versus the proportion of the same AE following receipt of another vaccine.
Two main approaches to data mining are Proportional Reporting Ratios (PRRs) and Empirical Bayesian Geometric Means [11–13]. Both have published literature suggesting criteria for detecting “signals” [14]. PRR will be used at CDC for potential signal detection; Empirical Bayesian data mining will be performed by FDA.
After initial licensure or approval of COVID-19 vaccines in the United States, initial reports may be too few to allow for data mining immediately. As the data mature, PRR and Empirical Bayesian data mining can then be used. 2.3.1 Proportional Reporting Ratio (PRR) CDC will perform PRR data mining on a weekly basis or as needed. PRRs compare the proportion of a specific AE following a specific vaccine versus the proportion of the same AE following receipt of another vaccine (see equation below Table 4).
A safety signal is defined as a PRR of at least 2, chi-squared statistic of at least 4, and 3 or more cases of the AE following receipt of the specific vaccine of interest. CDC will apply appropriate comparator vaccines (e.g., adjuvanted vaccines like Shingrix and/or Fluad for adjuvanted COVID-19 vaccines) and adjust for severity and age distributions where applicable.
Table 4. Calculation of Proportional Reporting Ratio (PRR) Specific AE All other AE Specific vaccine A B All other vaccines C D PRR = [a/(a+b)] [c/(c+d)]
2.3.2 Data mining FDA will perform data mining at least biweekly (with stratified data mining monthly) using empirical Bayesian data mining to identify AEs reported more frequently than expected following vaccination with COVID-19 vaccines, using published criteria [12, 17 14]. Vaccine product-specific AE pairs following specific COVID-19 vaccines with reporting proportions at least twice that of other vaccines in the VAERS database (i.e., lower bound of the 90% confidence interval of the Empirical Bayesian Geometric Mean [EB05] >2) will be evaluated.
Data mining runs can be adjusted and/or stratified by possible confounding variables such as age, sex, season of administration, and type of vaccines. FDA and CDC will share and discuss results of data mining analyses and signals.
2.3.3 Crude reporting rates If needed for internal purposes, crude reporting rates will be calculated based on COVID19 vaccine doses distributed, when a source of doses distributed data becomes available. 2.4 Review of VAERS forms, medical records, and automated tables for reports of interest • Daily priority reports will provide VAERS ID numbers and associated AESIs; these reports can be reviewed by VAERS personnel for initial information. • Daily line list will provide VAERS ID numbers, associated AESIs, and assigned medical abstractor names. Medical abstractors will then access the VAERS VPN, review available medical records, and complete abstraction using the internal abstraction website (Figure). o Data from these medical abstractions will be used for supplemental tables to provide additional information on the automated summary tables (i.e., the cumulative daily data described in section 2.2.1.) •
Freepers who doubt the significance of these historical covid vaccine numbers should take the time to click on this link (and add an extra 1,400 additional since April 24th) provided by
Jean Marc Benoit MD @JeanmarcBenoit
Emergency Physician, amateur covid data analyst. Clinical medicine, evidence-based medicine, data-based reporting·
Apr 24
“Vaccine suspected death reports in US Vaccine Adverse Events Reporting System, from 1990 up to April 24, 2021.”
“Something is very wrong in 2021”
https://pbs.twimg.com/media/Ezy8oOnWYAI0IiJ?format=png&name=medium
Flu vaccines are also mostly given to senior citizens. Last year 194 million people got the flu vaccine. 20 of them were “after vax deaths.”
And the following graph you will need to add 2,900 additional deaths so far.
https://pbs.twimg.com/media/ExGIFGeVgAQu0qz?format=jpg&name=900x900