There have been a few papers in the medical journals on the curious problem of excess deaths persisting beyond the COVID-19 pandemic, most notably Mostert et al., which openly wondered if the COVID-19 vaccines are playing a role (and which made the mainstream media).

Brilliantly put! Extra: Yes, correlation doesn’t prove causation. But it also doesn’t prove no causation… Correlation helps us figure out if we should investigate further. It feels like they have gone so far with this that correlation now apparently means “there is 100% no causation”. Except of course if the jabs are correlated with positive outcomes. Then it most definitely is causation, and not some bias or data manipulation…

I'm sympathetic to this line of investigation, but your repeated statements that all values were statistically significant suggests to me that you're not aware of the significant limitations of p-values. You're not going to be able to do good research until you are.

I recommend Greenland et al ( 2016) Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations. Eur J Epidemiol 31:337–350, DOI 10.1007/s10654-016-0149-3

Well done Raphael - champion ! BTW, for future reference, correlation only equals causation when a fact checker says so :)

Brilliantly put! Extra: Yes, correlation doesn’t prove causation. But it also doesn’t prove no causation… Correlation helps us figure out if we should investigate further. It feels like they have gone so far with this that correlation now apparently means “there is 100% no causation”. Except of course if the jabs are correlated with positive outcomes. Then it most definitely is causation, and not some bias or data manipulation…

Given the way these two time series evolve, it should be pretty easy to prove Granger causality. Then it is causation.

edited Sep 4Correlation doesn't equal causation, but it does stand next to causation shouting 'HEY, LOOK AT THIS EVERYONE!'

I'm sympathetic to this line of investigation, but your repeated statements that all values were statistically significant suggests to me that you're not aware of the significant limitations of p-values. You're not going to be able to do good research until you are.

I recommend Greenland et al ( 2016) Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations. Eur J Epidemiol 31:337–350, DOI 10.1007/s10654-016-0149-3