B.....buh.....but doncha know that correlation DOESN'T equal causation?? 😆. I know, it really IS an absolute joke, isn't it? (& NOT a "funny" joke). Obviously, it's NOT being "missed" by these agencies and institutions, it's being consciously IGNORED. What we got here is an internationally coordinated COVER UP. The corporate technocracy and mainstream media, where the majority of people get the majority of their information from, & those damnable gatekeeping giggle searches are testicle deep into this wilful corruption and complicity. DEATH to the lying presstitutes and ooze-papers and politicians and the biopharmaceutical industrial complex cartels! The quick, merciful death of the rope's TOO good for 'em: to the rack & wheel!!
Thank you Joel -- I shall indeed do that in the near future.
I've found that if there is a high correlation, you can see it with your eye. Statistical analysis merely quantifies the correlation, and convinces no one!
And, the way you have presented the DATA is the best and most clear picture for people to understand. (you could add some color to the graphs to help them be even more understandable -- most people, unfortunately, don't really understand graphs, let alone statistical analyses).
I'll do than and then E-Mail the spreadsheet to you for your comments, and them maybe we could post it?
In this Post, as did Joel, I just showed the DATA for the U.S., U.K., Canada and Germany.
https://timellison.substack.com/p/have-millions-been-killed-by-the
B.....buh.....but doncha know that correlation DOESN'T equal causation?? 😆. I know, it really IS an absolute joke, isn't it? (& NOT a "funny" joke). Obviously, it's NOT being "missed" by these agencies and institutions, it's being consciously IGNORED. What we got here is an internationally coordinated COVER UP. The corporate technocracy and mainstream media, where the majority of people get the majority of their information from, & those damnable gatekeeping giggle searches are testicle deep into this wilful corruption and complicity. DEATH to the lying presstitutes and ooze-papers and politicians and the biopharmaceutical industrial complex cartels! The quick, merciful death of the rope's TOO good for 'em: to the rack & wheel!!
Here's the data if you want to run it through your model?
https://exdeaths-japan.org/data/Estimates_weighted.csv
https://github.com/owid/covid-19-data/tree/master/public/data
Thank you Joel -- I shall indeed do that in the near future.
I've found that if there is a high correlation, you can see it with your eye. Statistical analysis merely quantifies the correlation, and convinces no one!
And, the way you have presented the DATA is the best and most clear picture for people to understand. (you could add some color to the graphs to help them be even more understandable -- most people, unfortunately, don't really understand graphs, let alone statistical analyses).
I'll do than and then E-Mail the spreadsheet to you for your comments, and them maybe we could post it?
Of course. Here's my spreadsheet if you want to corroborate. https://ln5.sync.com/dl/8cd6546b0/u8aik9nm-tiqs2vyy-5vbq66bx-ju3f2as9
I like how you calculated excess deaths.
I will, however, use the raw data from the two files you gave me above, e.g.:
https://exdeaths-japan.org/data/Estimates_weighted.csv
https://github.com/owid/covid-19-data/tree/master/public/data
in order to due similarly what I've done in the past, e.g., look at Variations in the All-Cause-Mortality Rate vs. Variations in the Injection Rate.
I'm sure the correlation will show up.
A few articles back, did you quantify the estimated risk of death per injection? Or am I imagining that?
Denis Rancourt has done that.