Posted on 05/21/2021 2:25:58 PM PDT by ransomnote
Bitchute Channel: welcometheeagle88
Study: Analysis of VAERS Shows the COVID Shots are Likely Cause of Deaths, Spontaneous Abortions, Cardiovascular, Neurological, and Immunological Adverse Events. By Dr. Jessica Rose, PhD, MSc. BSC.......
You fail to note the other corollary.
The further away from the jab, the less likely to be reported, even it was physically caused by the jab.
See post 19.
Attempted smug “Because SCIENCE!”™ ad hominem goes down in flames.
But they’re mostly safe…
Hey, Humbleunner, how do you like my website:
Sorry, bagstar...meant for Humblgunner
That's absolutely right. Too bad this expert PhD couldn't grasp this most basic of facts.
I didn't doubt her expertise in her field, I was simply curious.
As you demonstrated in post 21, however, understanding math doesn't mean she understands VAERS.
You’re missing the point. That leads to the risk of a long tail of UNDERREPORTING.
How do you measure that when by definition you don’t know which cases it covers?
Sorry! We're busy running around with our hair on fire because Imgur is over capacity! This can happen when the site is under a very heavy load, or while we're doing maintenance.
Please try again in a few minutes.
I have tried several times now, with no success.
No you're missing my point.
I was critical of the logic of her presentation and her saying we should expect a straight line graph. And you provided an excellent example to reinforce my criticism.
I've never argued that there isn't underreporting. It's a voluntary reporting scheme so of course they'll be underreporting.
PhD Researcher Analyzes VAERS Data and Concludes COVID Shots are Causing Death and Serious Injuries
For your benefit.
Now to collect your $1,000,000, you must agree to take your pathetic 'vaccinated' self, placed in a room for 48 hours - mask-free - with a SARS-CoV-2 critical care patient, along with me, a medical experiment conscientious objector, previously infected >1 year ago.
Survivor collects, loser foots.
That was not well communicated by your tone, however.
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
Yea. Maybe the dead people are in a state of suspended animation.
First, as we all know, an adverse event after vaccination DOES NOT PROVE the vaccination “caused” the event.
Second, as we all know, an adverse event after vaccination DOES NOT DISPROVE the vaccination 'caused' the event. IN fact, it is likely that it did, given no other factors.
That results in a .00249% chance (assuming every last reported VAERS record of death was indeed “caused by” the shot - which they weren’t).
The old percentage trick. That percentage makes it appear that hardly anybody is dying, when in fact over 4000 (and counting) have died. More than died in 9-11. All for a vaccine that is not needed.
“caused by” the shot - which they weren’t).
That's bold talk for a one-eyed fat man who has NO idea what he's talking about.
So, your odds of dying in a car accident (0.97%) is 389.55X MORE LIKELY than your odds of dying from the vaccine (0.00249%)
We can take the odds of dying from the vaccine down to zero point zerp (Eric the Midget homage) by guess what....?
Not taking the vax. 4000 people (and climbing) would likely be alive today if they hadn't (leaving out those who were slated to die anyway, and wtf were they given a vax in the first place?).
when the facts don’t support your position, change the facts! Or allege the facts are all made up..so please don’t bother.
Or in the case of you vax lovers, if the facts don't support your position, attack the messenger (quack, anti-vaxxer, etc).
You people are predictable in your desperate attempt to justify poisoning people.
#MutantLogic
Haha.
A PHD in the field doesn't understand VAERS, but Semimojo on FreeRepublic does.
Yer killin' me, Smalls.
On one sketchy website, I see that "Dr." Jessica Rose "Dr. Jessica Rose has a BSc in Applied Mathematics and completed her MSc in Immunology at Memorial University of Newfoundland in Canada. She completed her PhD in Computational Biology at Bar Ilan University and then did her first Post Doctorate at the Hebrew University of Jerusalem in Molecular Biology."
Being a post-doc means she has little real-world research experience. I did find a paper in which she describes kinetics of drug mediated deactivation of human cytomegalovirus, but this is far removed from looking at safety data of drugs going through the regulatory approval pipeline. I doubt that she has ever analyzed clinical trial data or overseen any research conducted for the purpose of FDA approval. Her reading of VAERS is as naïve as any I have seen. If she had any experience in the regulatory world, she would know exactly what VAERS is: a reporting system for documenting adverse effects following vaccination, regardless of cause.
It takes statistical analysis to determine if any of the adverse events occur more frequently in the vaccinated group than in a similar unvaccinated group. Since the Covid-19 vaccine was first administered to seniors and to people with preexisting conditions, one can expect that adverse events occur with rather high frequency in this group. When I looked at the VAERS data, I saw that people died of heart attacks, strokes, etc.--which is not that unusual in elderly people. One woman was literally on her deathbed when she received the vaccine at her family's insistence.
Just looking at overall death data and comparing it to the deaths recorded in VAERS that occurred within a few days of Covid-19 vaccinations:
2,854,838 died in 2019, the US population is ~330,000,000, and there are 52 weeks per year: (2,854,838/330,000,000)/52 * 100 (to make a percent) = 0.01664% chance of dying per week.
4,063 deaths after Covid-19 vaccine are recorded in VAERS. So far, 279,196,860 doses have been administered. 4,063/279,196,860 * 100 = 0.001455% chance of dying from any cause after a Covid-19 shot.
So, if we were going to assume causative relationships here, you are 11 times more likely to die each week if you do not receive a Covid-19 vaccine than if you receive one.
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Thank you, Cathi.
I'm quite sure these so-called 'VAERS experts' poppin' off and disputing PHD medical experts will neither read nor understand your explanation.
They are married to the idea that there is NOTHING wrong with these vax's, and they'll say anything to 'prove' it.
But as Cathi just explained, Dem Mom, we aren't comparing events with people who vax'd with people who didn't. Apples and oranges.
Why are you being obstinate? Are you still using Dem logic?
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