Joel, if you don't mind, can you share the source and methodology used to calculate this? I've been working on similar calculations and wanted to drill down to the state level. Are you just pulling from the Wonder database?
Something to keep in mind is that we are still counting accidental deaths for 2021. All other causes are ~99%+ complete for the year, but accidental deaths always lag quite a bit.
At the start of 2022 we had logged 264,490 accidental deaths in the US for 2021. Since then it has risen to 305,176 and will continue to climb (my guess is at least 7,000 more to be added over the next few months). For comparison this time last year we had recorded 280,000 accidental deaths for 2020, but it would eventually grow to 289,659 - and it continues to be updated, in fact two more deaths just added in the most recent update.
At this rate it's possible accidental deaths could reach 315,000 for 2021 when the books are closed. This is of course a historic number, pre Covid era we would expect <250,000 accidental deaths per year.
Quick table for reference of how much the data continues to grow in this category. Shows the total accidental death total for 2021 for each weekly update from CDC's weekly selected cause of death report [1], this week we just added another 2,566 accidental deaths, week before 4,076, etc.
Look at the first (smaller) circle and associated death stripe that reaches down into pre-retirement ages "off season" in May ... associated with the vax dose 1/2 peaks right down to having a hosp admission peak associated with each as well as younger ages rise proportionately! And we also see a matching case and deaths rate peak.
Then we see a much higher proportion of younger age C19 deaths (big circle) after everyone is vaxed! Basically, some proportion of vax deaths get tagged as C19 so we can see the wizard's shoes since the vax rate peaks happened in the C19 off season... (If you look at Euromomo you can see the same wizard's shoes with bumps in younger ages in May 21.)
I am now looking at state age banded data creating the death heat maps and it's blurrier as expected but there is a matching signal in CO as well as some other states like MN, MI, and OR. Coming soon...
Life years lost is a way better damage metric. The relative deaths measurement was ridiculous - the death of an 18 year old is so much more tragic than the death of a 93 year old.
Honestly, I'm not seeing the inferences being made. I think you need to plot YLL from covid specifically on top of these charts. It the peaks coincide, then it could still plausibly be the vaccines causing those covid cases, but plausibly deniable. But if the peaks do not coincide, then that would clearly be vaccine harm, as the only third possibility is lockdown harm which would not have such pronounced peaks.
Edit: Also, has anyone done something so simple as plotting covid death spikes and all-cause (non-covid) death spikes on the same chart? Any discrepancy in those spikes would likewise implicate vaccines.
Charts are the way to go! When debating a Covidian, charts like these are a mic drop! When the mRNA vaxxes are bundled with the flu vaccine and forced to be yearly(at least on health care workers and federal employees), I'm worried that the CDC will stop publishing this data. Or even sneakier would be to alter the data. If that happens will there be any other way to get the data for these charts?
And we're only seeing 'level one' of the chaos, IMO. Imagine what the data will show in 5 years........
Brilliant. I keep thinking the MSM must pick up on some of your incredible work, some hope. What the heck will it take Joel?
Joel, if you don't mind, can you share the source and methodology used to calculate this? I've been working on similar calculations and wanted to drill down to the state level. Are you just pulling from the Wonder database?
Something to keep in mind is that we are still counting accidental deaths for 2021. All other causes are ~99%+ complete for the year, but accidental deaths always lag quite a bit.
At the start of 2022 we had logged 264,490 accidental deaths in the US for 2021. Since then it has risen to 305,176 and will continue to climb (my guess is at least 7,000 more to be added over the next few months). For comparison this time last year we had recorded 280,000 accidental deaths for 2020, but it would eventually grow to 289,659 - and it continues to be updated, in fact two more deaths just added in the most recent update.
At this rate it's possible accidental deaths could reach 315,000 for 2021 when the books are closed. This is of course a historic number, pre Covid era we would expect <250,000 accidental deaths per year.
Quick table for reference of how much the data continues to grow in this category. Shows the total accidental death total for 2021 for each weekly update from CDC's weekly selected cause of death report [1], this week we just added another 2,566 accidental deaths, week before 4,076, etc.
https://imgur.com/a/VeE6wyn
[1] https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6
All US data right? Are there similar trends in other countries to validate ours?
Last week's Walgreens USA COVID-19 test data: https://www.walgreens.com/businesssolutions/covid-19-index.jsp
https://i.redd.it/0h26yrziljt81.png
https://i.redd.it/baa8pwscint81.png
Have you seen this substack from me yet. Larimer County has AFAIK uniquely detailed C19 data with both date and age for both deaths and cases. https://baizuobu.substack.com/p/larimer-county-in-one-chart-volume?s=w
Look at the first (smaller) circle and associated death stripe that reaches down into pre-retirement ages "off season" in May ... associated with the vax dose 1/2 peaks right down to having a hosp admission peak associated with each as well as younger ages rise proportionately! And we also see a matching case and deaths rate peak.
Then we see a much higher proportion of younger age C19 deaths (big circle) after everyone is vaxed! Basically, some proportion of vax deaths get tagged as C19 so we can see the wizard's shoes since the vax rate peaks happened in the C19 off season... (If you look at Euromomo you can see the same wizard's shoes with bumps in younger ages in May 21.)
I am now looking at state age banded data creating the death heat maps and it's blurrier as expected but there is a matching signal in CO as well as some other states like MN, MI, and OR. Coming soon...
Life years lost is a way better damage metric. The relative deaths measurement was ridiculous - the death of an 18 year old is so much more tragic than the death of a 93 year old.
Honestly, I'm not seeing the inferences being made. I think you need to plot YLL from covid specifically on top of these charts. It the peaks coincide, then it could still plausibly be the vaccines causing those covid cases, but plausibly deniable. But if the peaks do not coincide, then that would clearly be vaccine harm, as the only third possibility is lockdown harm which would not have such pronounced peaks.
Edit: Also, has anyone done something so simple as plotting covid death spikes and all-cause (non-covid) death spikes on the same chart? Any discrepancy in those spikes would likewise implicate vaccines.
Charts are the way to go! When debating a Covidian, charts like these are a mic drop! When the mRNA vaxxes are bundled with the flu vaccine and forced to be yearly(at least on health care workers and federal employees), I'm worried that the CDC will stop publishing this data. Or even sneakier would be to alter the data. If that happens will there be any other way to get the data for these charts?