Method 4. Nice one John, clear change starting 2020 but with different trajectories. The 2020 2021 spikes correlate with three different parameters. 1. Midazolam prescriptions for 5 NHS trusts 2. Mortality for 7 NHS trusts 3. Mortality by location of death (#1 hospitals, #2 Care Homes, #3 Home). I show all 7 Bradford Hill criteria met for "causation". Also 2022 2023 data is indicating something rather unusual.... Shush!... can't be mRNA.
Since the concept of Xs death is presumably to identify short - med term differences, then detrending the data as in method 4 or 5 looks good to me. The ARIMA method looks particularly good,
The sharpness of the 2020 spike is worrying. I wonder whether this would get broader or sharper if actual date of death rather than date of registration was avaialable?
The integral should still be reasonably robust whether using DoD or DoR. However, the dates at which the steps occur should differ by the 'typical' (whatever that is) lag time between DoD and DoR. Do you have any idea what the lag time between these parameters is?
Again superb. You would like to hope the policy makers that are placed above the vaccinators are quaking in their boots at what they have done, but at this point I’m doubting it. I think at this stage the lower echelons of the murder cartel are saying endless novenas and well on their way with making peace with their criminality.
Method 4. Nice one John, clear change starting 2020 but with different trajectories. The 2020 2021 spikes correlate with three different parameters. 1. Midazolam prescriptions for 5 NHS trusts 2. Mortality for 7 NHS trusts 3. Mortality by location of death (#1 hospitals, #2 Care Homes, #3 Home). I show all 7 Bradford Hill criteria met for "causation". Also 2022 2023 data is indicating something rather unusual.... Shush!... can't be mRNA.
The analysis is based on date of registration of death and thuis will lag actual date of death. Would this affect you Bradfold Hill conclusions?
Most likely not, though we should expect to see more smear with DOD data.
Great analysis - thank you.
Since the concept of Xs death is presumably to identify short - med term differences, then detrending the data as in method 4 or 5 looks good to me. The ARIMA method looks particularly good,
The sharpness of the 2020 spike is worrying. I wonder whether this would get broader or sharper if actual date of death rather than date of registration was avaialable?
The integral should still be reasonably robust whether using DoD or DoR. However, the dates at which the steps occur should differ by the 'typical' (whatever that is) lag time between DoD and DoR. Do you have any idea what the lag time between these parameters is?
Thank you kindly! When Joel gets his FOIA DOD data request through I can run the analysis again 'coz the reg process is bound to have bent the timing.
Again superb. You would like to hope the policy makers that are placed above the vaccinators are quaking in their boots at what they have done, but at this point I’m doubting it. I think at this stage the lower echelons of the murder cartel are saying endless novenas and well on their way with making peace with their criminality.
Is actual DoD available?
Yep, and Joel has a FOIA request pending so I'll use this when it comes through.
Great, I’m looking forward to seeing that!
You're like a dog with a juicy bone, John!
Snuffle gruff grrrh grun.