Let's suppose that a museum decides to spend money in Sept 2020 advertising for new members. To see if the advert has worked you manage to find the data for numbers of new members (adjusted for changing population size) in October in each of the 5 previous years. The numbers are:
Sure, but do I really want to waste another hour of my life averaging 456 data points which will just tell me the same thing, that all-cause mortality is ABOVE NORMAL starting 2021 when the VACCINES BEGAN? Or that I can average 52-53 columns for an entire year to get a yearly average for the years of Australian data since 2015?
Sure, but do I really want to waste another hour of my life averaging 456 data points which will just tell me the same thing, that all-cause mortality is ABOVE NORMAL starting 2021 when the VACCINES BEGAN? Or that I can average 52-53 columns for an entire year to get a yearly average for the years of Australian data since 2015?
https://fullbroadside.substack.com/p/sustained-overkill
EDIT: Here's my "museum" numbers:
3,052
3,047
3,152
3,059
3,161
3,109
3,302
3,660
3,516
Are the last three statistically significant in light of your Baysian mumbo-jumbo?