Mathew, have you examined the Israeli statistician's review of their Pfizer data? Really keen for your assessment of it. They say in Israel the Pfizer vaccine only appeared to 'work' when dramatically increased death rates in vaccinated groups during the 5-week vaccination period were ignored. Only those who survived the vaccination process (during a pandemic) appeared ‘protected’ thereafter. The differences were huge - 40+ times mortality in age-matched vaccine recipients. Big news yet no headlines. Hervé Seligmann and Haim Yativ. Did they get their analysis wrong, or not?
A professor I'd talked with sent me his breakdown of the Dagan data, and I have the Seligmann/Yativ analysis bookmarked to look through, soon. I am also working with a statistician who is examining adverse events data sets (both trials and also some non-public data). Frustratingly, there is an enormous amount to do, and not enough people participating. Somehow, those publishing bad science and statistical methods seem to have clear paths to publishing, as in Surgisphere and Roman et al. This means the other side has to sometimes gather together a set of arguments to push back both against authorities in a corrupted pool, but also lay out the case to the public so that the corrupt in that pool have less opportunity to bury the issue.
Hi Mathew. Did you ever get to look at this massive ‘survivorship bias’ claim by the Israeli statisticians?
Israelis were the guinea pigs and had so many horror stories in early 2021, most of which were deleted by social media companies by mid-year. But these statisticians, did their work stand?
Was the risk of death from/with Covid really so much higher in the weeks immediately post-injection - the period treated in most analyses as “unvaccinated” despite that cohort having received the injections?
Do you have the data showing that the vaccine is more harmful - meaning there is a higher rate of hospitalized vaccinated than vaccination rate in the higher population?
Mathew, have you examined the Israeli statistician's review of their Pfizer data? Really keen for your assessment of it. They say in Israel the Pfizer vaccine only appeared to 'work' when dramatically increased death rates in vaccinated groups during the 5-week vaccination period were ignored. Only those who survived the vaccination process (during a pandemic) appeared ‘protected’ thereafter. The differences were huge - 40+ times mortality in age-matched vaccine recipients. Big news yet no headlines. Hervé Seligmann and Haim Yativ. Did they get their analysis wrong, or not?
A professor I'd talked with sent me his breakdown of the Dagan data, and I have the Seligmann/Yativ analysis bookmarked to look through, soon. I am also working with a statistician who is examining adverse events data sets (both trials and also some non-public data). Frustratingly, there is an enormous amount to do, and not enough people participating. Somehow, those publishing bad science and statistical methods seem to have clear paths to publishing, as in Surgisphere and Roman et al. This means the other side has to sometimes gather together a set of arguments to push back both against authorities in a corrupted pool, but also lay out the case to the public so that the corrupt in that pool have less opportunity to bury the issue.
Hi Mathew. Did you ever get to look at this massive ‘survivorship bias’ claim by the Israeli statisticians?
Israelis were the guinea pigs and had so many horror stories in early 2021, most of which were deleted by social media companies by mid-year. But these statisticians, did their work stand?
Was the risk of death from/with Covid really so much higher in the weeks immediately post-injection - the period treated in most analyses as “unvaccinated” despite that cohort having received the injections?
Can you link me?
An updated version (March 2021) can be downloaded using the link "expert evaluation PDF..." on this page:
http://www.nakim.org/israel-forums/viewtopic.php?t=270982
(The original was Feb 2021)
Do you have the data showing that the vaccine is more harmful - meaning there is a higher rate of hospitalized vaccinated than vaccination rate in the higher population?