Excellent work on the geotemporal mortality analysis. The way the study challenges viral spread through spatial inconsistencies really exposes how much we've leaned on assumption rather than data. I remeber when those spring 2020 spikes happened and everyone just accepted the narrative without questionning why neighboring regions had such wildly different timing. That counterfactual modeling point about vaccines is brutal but dunno how else to read those sudden virulence jumps.
Denis, I’m so impressed at the speed and volume of analysis you have put out there in this year alone! Thank you for all you do!
Excellent work on the geotemporal mortality analysis. The way the study challenges viral spread through spatial inconsistencies really exposes how much we've leaned on assumption rather than data. I remeber when those spring 2020 spikes happened and everyone just accepted the narrative without questionning why neighboring regions had such wildly different timing. That counterfactual modeling point about vaccines is brutal but dunno how else to read those sudden virulence jumps.
Thanks for busting up so many lies wide open.
Bonne Année Denis! Thanks a million for all the work you do. It is beyond appreciated.
Is there any other (not pearson) connection for linear relationship data analysis? How data such as pressure vs volume of gas are connected?
Your work has been integral to busting the lies we've been misled by wide open. I am confident lives have been saved by your work.
Thanks!