Steve Kirsch updated his analysis of the NZ post-jab death records here. And the overall time series which had been presented at the MIT lecture is this one:
The estimated baseline is an annualized rate of about 850 per 100,000 — or 0.85% annualized. This is a little higher than the rate given by the NZ whistleblower (0.75%) and that is expected because only those above a certain age took COVID shots.
The peak death rate just past 20 weeks post-jab is almost 1,500 per 100,000 — a peak that is about 75% higher than the average. Back in April, I had discovered a similar time-lag in mortality.
To get perspective as to whether it is ever plausible to find peaks which sit 75% higher than averages, you can look at data on “excess winter mortality” (EWM). The deaths in the months of Dec-Mar can get compared to deaths 4 months prior, and 4 months after.
Excess Winter Mortality ratio is “Peak:Low” rather than “Peak:Average”
The ratio of deaths which results has been called “excess winter mortality” — though it refers to a peak (Winter) as measured against a trough (Summer), rather than to a peak (Winter) as measured against an average (All Year).
About the highest ratio that you expect is 1.25 (Winter death rate is 25% higher than Summer death rate), guaranteeing that a peak which is 75% higher than an average is a significant event.
A peak which is 25% higher than a low would correspond roughly to a peak which is only about 10% to at most 15% higher than an average. The indication is that, 20 weeks after taking the shot, people were needlessly dying.
Reference
[Winter death rates can be 25% higher than Summer death rates] — Grant WB, Bhattoa HP, Boucher BJ. Seasonal variations of U.S. mortality rates: Roles of solar ultraviolet-B doses, vitamin D, gene exp ression, and infections. J Steroid Biochem Mol Biol. 2017 Oct;173:5-12. doi: 10.1016/j.jsbmb.2017.01.003. Epub 2017 Jan 11. PMID: 28088363. https://pubmed.ncbi.nlm.nih.gov/28088363/