Exclusive: Stunning new charts from the New Zealand record-level data shows a large sex effect that should not happen in a safe vaccine
Here are two more graphs from the New Zealand data when we look at sex effects. Sex differences should NOT be dose dependent if the vaccine is safe. Health New Zealand refuses to comment.
Executive summary
Safe vaccines should not be dose dependent when all other parameters such as the average age are the same.
Two new graphs allow us to visualize the gender disparities between doses. It’s stunning: there are large gender-specific mortality dependencies on the dose number.
Health New Zealand refuses to comment on their own data.
And of course, the New Zealand mainstream press will not ask them about it either because that would expose the fact that the vaccines are not safe.
Earlier work
In my previous post on the sex differences in mortality post vaccination, I showed that the sex disparity between male and female deaths is dose dependent and decreases with each dose for those between 40 and 77. There is no Simpson’s paradox explaining this because the average age of death was the same in each cohort. So the gender dependence on dose indicates the vaccine isn’t safe.
The new graphs
Notes
The death counts for all ages (not gender specific), within 14 days of a specific shot goes from 260 (shot 3) vs. 315 (shot 4), a 21% increase. There are two possible causes for that: we might have more death data for shot 4, and shot 4 may be given at a time of year when deaths were high so the first 14 days would not be representative. There are 15% lower deaths in Dose 4, but the background deaths were 36% higher when Dose 4 was given. Guess what 36%-15% equals? 21%! So the absolute non-gender specific death number disparity in Dose 3 and 4 is easily explained by those two effects! Isn’t it stunning how math works?
The gender analysis is limited; we can't know the number of extra deaths from this analysis - only the number of extra male deaths. The fact that there is a gender disparity that is dose dependent is a problem for the “safe and effective” narrative.
If females die more after multiple doses this would also give the appearance of decreasing male bias with increasing doses.
Even if the absolute numbers are small earlier, overall, the larger concern regarding deaths after vaccination is what happens in the time-series cohort analysis which is coming up next.
Summary
This article adds 2 new graphs to my earlier gender analysis. A safe vaccine should not have large gender mortality disparities that are dose dependent.
Health New Zealand refuses to comment on their own data and has ignored my requests to talk to their epidemiologists.
I’m happy to be proven wrong on any of this, but the complete silence on these issues from the New Zealand health authority should be extremely troubling to everyone in New Zealand.
Steve, did you read https://open.substack.com/pub/openvaet/p/the-new-zealand-whistleblower-data?r=cxk35&utm_medium=ios&utm_campaign=post
New public commentary from Dr. Bhakdi.
https://m.kla.tv/en/Coronavirus-en/27750
Lingering spike/spike production now has a theoretical argument to explain the phenomenon: DNA incorporation.
How the FDA and CDC can be allowed to operate thusly (allowing forbidden contaminants to be injected into humans) is evidence of complete breakdown of ethics in government and the rule of law. Inspectors General within US govt pharma oversight should have brought the axe down on this practice by now, authorities who turned blind eyes to plasmid presence should have been prosecuted by now. That neither have happened is proof that corruption rules the governing bodies.
So be it. Reality has long been believed to be separable from a slick criminal enterprise like that, but dissonance is not a shield. At some point, reality will crash in like a collapsed bubble, and principals will be charged with all sorts of felonies. Unfortunately, this may be 5-10 years out, perhaps millions expired in the USA.