Which abstract do you like the best for my new paper on what the record-level data shows about the COVID vax?
Three choices. Vote for your favorite.
Traditional abstract
We received record-level data from a whistleblower inside the Israeli Ministry of Health. We used a time-series cohort analysis technique which showed that the COVID vaccines might be killing the very people that they were designed to save. Further analysis and study is warranted. Health officials should take note.
Modern abstract
Record level vaccination-date/death data obtained from a whistleblower in the Israeli Ministry of Health was analyzed using a time-series cohort analysis. The results remained consistent even after varying all four of the key independent variables (observation time window, days after shot, age, and dose number). The only way that can happen is if the COVID vaccines significantly increased mortality for those aged 60 and older, the very population that the vaccine was supposed to help. All five Bradford Hill causality criteria are satisfied. From this data, we can accurately estimate that overall, the mRNA vaccines led to the premature death of more than 1 person per 1,000 doses on average over all doses. This estimate is supported by COVID death data from the California Department of Public Health obtained from another whistleblower. This makes the COVID vaccines the deadliest vaccine of all time. The precautionary principle of medicine requires that a vaccine which results in such a large net increase in all-cause mortality should be immediately revoked worldwide unless there is a more likely explanation for this “gold-standard” data. Researchers could have discovered the harms of these vaccines years earlier if any of the world’s health authorities released comparable record-level data to that released here. It is baffling to us why the medical community who is sworn to do no harm is not insisting on seeing this data before recommending the use of any vaccine to their patients. Clinical outcomes are never improved by keeping public health data hidden from public view. It is clear to us that every health authority in the world has kept this critical record-level safety data hidden from view. And, to our knowledge, only one authority, the UK Office of National Statistics, had supplied a time-series analysis for a limited amount of time. The UK time-series analysis confirms the monotonic increase in mortality after each shot is given. Other health authorities apparently refused to analyze it themselves to look for any safety signals which we found in abundance just minutes after receiving the data. After we received this data and analyzed this, we reached out to a number of health authorities in the US in Florida, California, and at the CDC and FDA. They all ignored the request to examine the data I obtained or look at their own data. This is the first time in history that vaccination-death record-level data has been made available to the public. And now we know why.
Direct abstract
We have the data. They are fucked.
Which abstract did you like the best?
Summary
Information on attending my talk (in person or on the livestream) can be found here.
You won’t want to miss it.
There is no way to explain this data if the vaccines are safe. NFW.
Shouldn't
"This is the first time in history that vaccination-death record-level data has been made available to the public. And now we know why."
Say something like
This is the first time in history that vaccination-death record-level data has been so extensively hidden from the public. And now we know why.
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Re-written at a post-doc level by the latest AI: This manuscript presents a comprehensive evaluation of vaccination-date/death data, sourced through confidential disclosure from an informant within the Israeli Ministry of Health. Utilizing a robust time-series cohort methodology, this analysis rigorously tested the dataset by systematically varying four critical independent variables: the observational time window, days post-vaccination, age brackets, and dose sequence. Remarkably, the results demonstrated unwavering consistency across these variations, indicating a statistically significant elevation in mortality rates among individuals aged 60 and above following COVID-19 vaccination. This demographic was primarily intended to benefit from the vaccination.
The study meticulously applies the Bradford Hill criteria for causation, affirming the reliability of the findings. Furthermore, the extrapolation of these results suggests an alarming mortality rate exceeding one per 1,000 vaccine doses administered, a conclusion corroborated by additional data procured from a second informant within the California Department of Public Health. This revelation positions the COVID-19 vaccines as potentially the most lethal in recorded history.
The fundamental tenets of medical ethics and the precautionary principle demand immediate reevaluation of the vaccine's global application, given the observed net increase in all-cause mortality. This investigation underscores the criticality of transparent and accessible public health data. The reticence of global health authorities to release similar datasets has significantly delayed the identification of potential vaccine-related adverse effects.
Notably, the UK Office of National Statistics is the sole exception, having conducted a limited time-series analysis that corroborates the observed trend of increasing mortality post-vaccination. The general reluctance of health organizations to engage in similar analyses, despite our outreach to multiple U.S. health authorities (including those in Florida, California, the CDC, and FDA), is concerning.
This study marks an unprecedented release of vaccination-death record-level data to the public sphere, highlighting the imperative for transparency in public health data to facilitate informed clinical decision-making and safeguard patient well-being.