Some Helpful Analyses of the New Zealand Death/Covid Vaccine Records

Professor Norman Fenton and Eugyppius provide very useful supplemental analysis of the death/Covid vaccine data from New Zealand. I have also had a chance to look at the data. My sense is that the data are providing a signal roughly comparable to my estimate using survey data as well as Josh Stirling’s analysis using insurance data. Of course, New Zealand is a much smaller country, so one has to scale by population and time period. A limitation is that the whistleblower data do not include a control group (those not vaccinated). Still, there is much that can be learned from these data. A challenge is in determining what proportion of excess mortality post-vaccine is attributable to the Covid vaccine. And we must trust the all-cause mortality data in order to make a comparison with the whistle blower death/Covid vaccine data. What data can we trust? Is it prudent to trust governments that repeately lie and falsify data? I’ve been pondering this question for decade or more. If you want to dig in, review the following:

Steve Kirsch’s Analysis: https://kirschsubstack.com/p/data-from-us-medicare-and-the-new?r=o1vob&utm_campaign=post&utm_medium=web

Normon Fenton’s Analysis: https://open.substack.com/pub/wherearethenumbers/p/the-new-zealand-vaccine-data-what?r=o1vob&utm_campaign=post&utm_medium=web

Eugyppius’ Analysis: https://www.eugyppius.com/p/the-new-zealand-vaccination-records?r=o1vob&utm_campaign=post&utm_medium=web

Published by markskidmore

Mark Skidmore is Professor of Economics at Michigan State University where he holds the Morris Chair in State and Local Government Finance and Policy. His research focuses on topics in public finance, regional economics, and the economics of natural disasters. Mark created the Lighthouse Economics website and blog to share economic research and information relevant for navigating tumultuous times.

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