Yes, it is possible for those three variables to come together as wave interference. The questions then are why isn't this a regular feature, making the series a random walk of peaks and troughs, and why does a single substantial peak mirror initial dosing to this extraordinary degree?
Associated deaths are not insubstantial - take a look at part 1. I'll try and find time to produce an estimate, though ideally need to spend some time modelling first.
The very highest peak looks like the deaths may precede vaccination. I presume that is just the rolling average causing some lag.
Was a negative PCR test ever a requirement for vaccination? If so, testing could have become more concentrated among the frail elderly during the rollout, leading to spurious excess? Maybe a way to look at this is to look at ratio of non-covid deaths to CDR.
The old occurrence vs report date! How we have flogged that issue!! Are you using deaths by date of occurrence though? Otherwise. both datasets are inaccurate? I just had an email from the ONS - they are getting round to fixing my proprietary occurrence-date dataset. Should hopefully be available very soon!
Yep, the old DOR vs. DOD chestnut like you say. After ignoring my FOI for weeks ONS are now ready to talk money and give me DOD data.
Vaccination dates are also well dodgy (as are dates of first specimen for PCR). When I trawled through 50k EPR back last year I had to pull out folk who had been jabbed after their death! Prof Fenton just tweeted this, which matches what my contacts say...
After thinking about this for a day, I find the resulting graph too perfect. Everything you did to arrive here makes sense but the result appears to be curiously perfect. Not a particularly helpful statement I know, but I thought I should put it out there. I'm not sure that I can come up with an approach to attempt to disprove result though.
I estimate 3 out of 5 boys 12-17, double jabbed and infected experience some form of heart damage, because more than 30% of reports from this subsample contain chestpain, 18% contain Troponin increased and 15% contain myocarditis (difference in proportion to pseudo-placebo reference).
I don't understand statistics very well but it seems your last graph shows a mismatch between CDR and covid deaths around April 2020. Dr Sam Bailey gives an interesting talk on excess mortality at that time. By drilling down to national level across the UK and mainland Europe using Euromomo figures she shows a correlation between the Oxford Recovery and WHO Solidarity aggressive drug trials and excess mortality - other factors such as moving elderly sick people from hospitals to nursing homes and other inhumane and stupid measures probably also played a role. Note that Sam doesn't accept the science put forward for a novel virus in the first place (as I don't myself).
Well, you know them well enough to pick up on the most important feature of that graph! Contacts tell me that dangerous discharge took place back in spring 2020, end of life protocols were established in care homes for those not near the end of their life and there is suspicion over excessive use of toxic narcotics. There are legal teams preparing cases for all of this. On top of that there are these antiviral trials as you say, plus ventilator acquired pneumonia. The NHS failed people during that first year, and people died as a result. Evidence points to a virus spreading back in Sep - Oct 2019, so all of the measures taken were pointless and harmful.
OK, so just to itemise six possible contributors to the anomalous lack of alignment in April 2020:
--- dangerous discharge, including moving sick elderly people from hospital to care homes
--- end of life protocols established in care homes for those not near end of life
--- use of excessive narcotics
--- aggressive antiviral trials
--- ventilator-acquired pneumonia
Of course, isolation of itself seems to kill people too.
The Euromomo figures I refer to can be found below. What can be seen is that the normal spike seen around April is not excess in Portugal and Germany, two countries who didn't implement aggressive drug trials.
Bang on. Plus euromomo shows a large spike for England but not for Northern Ireland, with lesser spikes for Wales and Scotland. This can only come about through differing policies.
Yes, it is possible for those three variables to come together as wave interference. The questions then are why isn't this a regular feature, making the series a random walk of peaks and troughs, and why does a single substantial peak mirror initial dosing to this extraordinary degree?
Associated deaths are not insubstantial - take a look at part 1. I'll try and find time to produce an estimate, though ideally need to spend some time modelling first.
The very highest peak looks like the deaths may precede vaccination. I presume that is just the rolling average causing some lag.
Was a negative PCR test ever a requirement for vaccination? If so, testing could have become more concentrated among the frail elderly during the rollout, leading to spurious excess? Maybe a way to look at this is to look at ratio of non-covid deaths to CDR.
Rolling averages mangle things but Vax dates are not accurate according to folk in the know. Non-covid is a nice idea to try next!
The old occurrence vs report date! How we have flogged that issue!! Are you using deaths by date of occurrence though? Otherwise. both datasets are inaccurate? I just had an email from the ONS - they are getting round to fixing my proprietary occurrence-date dataset. Should hopefully be available very soon!
Yep, the old DOR vs. DOD chestnut like you say. After ignoring my FOI for weeks ONS are now ready to talk money and give me DOD data.
Vaccination dates are also well dodgy (as are dates of first specimen for PCR). When I trawled through 50k EPR back last year I had to pull out folk who had been jabbed after their death! Prof Fenton just tweeted this, which matches what my contacts say...
https://twitter.com/profnfenton/status/1591028758932164608?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E1591028758932164608%7Ctwgr%5E3824da1b9a2c79c3e2175e3cda0616ce01e6a988%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fpublish.twitter.com%2F%3Fquery%3Dhttps3A2F2Ftwitter.com2Fprofnfenton2Fstatus2F1591028758932164608widget%3DTweet
You have surpassed even your own very high standards on this one, John.
Crikey. It might be the keto diet I'm trying to stick to. No grain brain etc. Trouble is these ideas come at 4am!
After thinking about this for a day, I find the resulting graph too perfect. Everything you did to arrive here makes sense but the result appears to be curiously perfect. Not a particularly helpful statement I know, but I thought I should put it out there. I'm not sure that I can come up with an approach to attempt to disprove result though.
I know what you mean about "too perfect" and am now spending time trying to knock it down. No luck so far!
I estimate 3 out of 5 boys 12-17, double jabbed and infected experience some form of heart damage, because more than 30% of reports from this subsample contain chestpain, 18% contain Troponin increased and 15% contain myocarditis (difference in proportion to pseudo-placebo reference).
https://knowhatamine.substack.com/p/are-the-modrna-vaccines-enhancing
I don't understand statistics very well but it seems your last graph shows a mismatch between CDR and covid deaths around April 2020. Dr Sam Bailey gives an interesting talk on excess mortality at that time. By drilling down to national level across the UK and mainland Europe using Euromomo figures she shows a correlation between the Oxford Recovery and WHO Solidarity aggressive drug trials and excess mortality - other factors such as moving elderly sick people from hospitals to nursing homes and other inhumane and stupid measures probably also played a role. Note that Sam doesn't accept the science put forward for a novel virus in the first place (as I don't myself).
https://odysee.com/@drsambailey:c/excess-mortality-what-you-aren-t-being:0
Well, you know them well enough to pick up on the most important feature of that graph! Contacts tell me that dangerous discharge took place back in spring 2020, end of life protocols were established in care homes for those not near the end of their life and there is suspicion over excessive use of toxic narcotics. There are legal teams preparing cases for all of this. On top of that there are these antiviral trials as you say, plus ventilator acquired pneumonia. The NHS failed people during that first year, and people died as a result. Evidence points to a virus spreading back in Sep - Oct 2019, so all of the measures taken were pointless and harmful.
OK, so just to itemise six possible contributors to the anomalous lack of alignment in April 2020:
--- dangerous discharge, including moving sick elderly people from hospital to care homes
--- end of life protocols established in care homes for those not near end of life
--- use of excessive narcotics
--- aggressive antiviral trials
--- ventilator-acquired pneumonia
Of course, isolation of itself seems to kill people too.
The Euromomo figures I refer to can be found below. What can be seen is that the normal spike seen around April is not excess in Portugal and Germany, two countries who didn't implement aggressive drug trials.
https://www.euromomo.eu/graphs-and-maps#z-scores-by-country
Bang on. Plus euromomo shows a large spike for England but not for Northern Ireland, with lesser spikes for Wales and Scotland. This can only come about through differing policies.