Thanks Rebekah. I hadn't come across that option in my research. It's another dimension to the 0 dose group, making it too diverse to make sensible comparisons with.
Complex. Thank you for sharing. I see that the Our World in Data website (run by the University of Oxford) on mortality statistics is down. I wonder if historical point of reference data will be shifted upward, given the website’s previously published mortality numbers (unprecedented) on countries such as Brazil, the Phillipines, Malaysia and Slovakia to name a few. ➡️ https://ourworldindata.org/grapher/excess-mortality-p-scores-average-baseline
Yes certainly complex and upon further thought about my estimate of 0 dose people from vax numbers, I may be not accurate because I'm not sure how people who have died since having the dose are handled. It's very difficult trying to reverse engineer.
Do you mean that those countries have particularly high excess? I'll have a look at OWiD
Their graph for the Phillipines is literally off the charts, which seems to parallel the findings of SuperSally888, on her Substack.
I note in the new film on Covid vaccine deaths and injuries, 'Follow the Silenced', that it shows towards the end of the film how historical point of reference data were deliberately shifted upward for certain injuries against that of Covid periods. ⤵️
"As I understand it, no one records zero dose in the AIR. There is just no record of any covid vaccination, and so 0 dose “is assumed”."
However, you can have an exemption recorded in the AIR which is by proxy a 0 dose entry.
Thanks Rebekah. I hadn't come across that option in my research. It's another dimension to the 0 dose group, making it too diverse to make sensible comparisons with.
Complex. Thank you for sharing. I see that the Our World in Data website (run by the University of Oxford) on mortality statistics is down. I wonder if historical point of reference data will be shifted upward, given the website’s previously published mortality numbers (unprecedented) on countries such as Brazil, the Phillipines, Malaysia and Slovakia to name a few. ➡️ https://ourworldindata.org/grapher/excess-mortality-p-scores-average-baseline
Yes certainly complex and upon further thought about my estimate of 0 dose people from vax numbers, I may be not accurate because I'm not sure how people who have died since having the dose are handled. It's very difficult trying to reverse engineer.
Do you mean that those countries have particularly high excess? I'll have a look at OWiD
I see. With the OWiD mortality graphs, they're now back up on the website (after being down for a couple of days). The data do not appear to have been changed. This display, for Malaysia, has an exceedingly high spike, peaking at 93% on 31 August 2021 ➡️ https://ourworldindata.org/grapher/excess-mortality-p-scores-average-baseline?time=2020-01-31..latest&country=~MYS
Their graph for the Phillipines is literally off the charts, which seems to parallel the findings of SuperSally888, on her Substack.
I note in the new film on Covid vaccine deaths and injuries, 'Follow the Silenced', that it shows towards the end of the film how historical point of reference data were deliberately shifted upward for certain injuries against that of Covid periods. ⤵️
‘Follow the Silenced’. Just unbelievable that they had the audacity to alter the figures: https://substack.com/@meshwork3232/note/c-119424516?r=20pd6j&utm_medium=ios&utm_source=notes-share-action