Ok, this is super interesting. Something smells for sure. I'm now thinking that - maybe - the third and fourth shots are causing a lot more damage than the initial batch. Here's my evidence, rough though it is.
The "Disability" numbers (16+) put out by the BLS shows about 4 million newly disabled since 2021. If we assume 1 death for every 2 disabled (a wartime KIA/WIA ratio), that gives us 2 million dead, over 2.8 years. 2 millon / 2.8 = 714k for one year. That's assuming a flat distribution.
But, even though vax uptake has dropped close to zero, those BLS disability numbers continue to scream higher. Perhaps the reason is, "increasing damage after more vax doses", and this trend is now showing up in the (99%-throttled 2022/2023) VAERS data, and that's the reason they have throttled it. They dare not let it out, because nobody would get another shot ever again if this became public knowledge.
Check out the disability data. Its compelling to me, from the big-picture perspective. Divide by two (or three, if you are conservative), to get deaths.
Wow David! That is great and reasonable observation. It's would be great to run death by dose analysis in VAERS, except much "cleansing" needs to be done. If anybody does it without cleansing that analysis is doggy doo-doo, like I've seen done by our "VAERS" leading experts. The reason is how reports are entered and peoples definition of units and "dose series". Many reports coming out now have one line item, 1 unit and you read the report and the person is on 4th dose. 1 unit of a bivalent booster assume the patient is on 3rd shot, etc.. doing the ole' dump & pump and not accounting for these inconsistencies makes analysis go into doggy doo-doo territory. Many shots, line item, lot# are entered as monovalent vax type when it is in fact a bivalent booster as recognized by the lot#. So the vax type covid19 (monovalent) & vax type covid19-2 (bivalent) are comingled tangled up mess. 714k/yr death rate sounds reasonable aka 2.8M dead from the jab. If a day of life is robbed by the vax it's still a vax death IMO. They think the big payout for the evil cabal is all the fetal demise and infertility.
It sounds like the data is dreadfully corrupt. It needs a natural language filter run on it to scan the fields (so you don't have to do it by hand), which emits a small number of new fields (dead/disabled/etc, vax dose, throttle-days, deleted, whatever else you think is critical) and then from that we might find some interesting big picture patterns. If i were good at the NLP stuff ... an expert system to take Eagle Wisdom and apply it automatically to each of the million records to extract out the important bits that we care about. I recall seeing all sorts of bogus lot numbers too. An automatic translator for common errors would be really useful. Just thinking out loud.
Yes, that's what we are doing at grass roots level with "Hawk" at https://deepdots.substack.com/, We use a python probability tool on the lot#s, he also has code written to extract "ages" from summary narrative, code for gender, etc. all to help with those missing data points. Same techniques would apply to clean up the dosing ambiguity. In a perfect world somebody could help fund me, like NVIC funds Steve Rubin for MedAlerts.org. and really bring pharmacovigilance into the next epoch complete with the data viz dashboards. I don't know if it will by me or someone else. I consider my stuff beta and what can be done. I wouldn't mind if some real experts came in and pushed the system forward. I don't consider it stealing my ideas just evolution. I feel obligated until a real system gets put in place. I wouldn't mind retiring from VAERS and going back to BBQ's and fantasy football. I know I can make more $$ with fantasy football then I will ever make being a VAERS watchdog. Oh well, plenty of time for that later, right now we have a genocide going on and everybody needs to find a battle station. God Bless
My contribution is just investivation - if you have csv files for VAERS summary meta data (monthly) timeseries I can download, I could use my python skills to correlate them with the BLS data (Ed Dowd-style, minus the z-scores), and see if there is a pony in there somewhere. I have a bunch of timeseries I've downloaded and its easy for me to integrate them. But of course that's just more work for you rather than a handful of cash or a promise to work on your project, so its probably not what you need right now.
Surely there's an agency, institution or foundation that would take the batton! Someone with teeth! Surgeon General? Department of Health & Human Services? (Too idealistic of me?) Americans For Responsible Technology? Library O Congress board of trustees? AARP? Yes, the hiding/gaslighting/disposing of public medical data is dereliction of their duty to the public and to the governmental departments that provided for their administrative duties. Holding up critical evidence for evaluation of prior protocols and policies should be a crime! The more they hide, the more guilty they appear. Are there judges for medical administorial crimes?
Ok, this is super interesting. Something smells for sure. I'm now thinking that - maybe - the third and fourth shots are causing a lot more damage than the initial batch. Here's my evidence, rough though it is.
The "Disability" numbers (16+) put out by the BLS shows about 4 million newly disabled since 2021. If we assume 1 death for every 2 disabled (a wartime KIA/WIA ratio), that gives us 2 million dead, over 2.8 years. 2 millon / 2.8 = 714k for one year. That's assuming a flat distribution.
But, even though vax uptake has dropped close to zero, those BLS disability numbers continue to scream higher. Perhaps the reason is, "increasing damage after more vax doses", and this trend is now showing up in the (99%-throttled 2022/2023) VAERS data, and that's the reason they have throttled it. They dare not let it out, because nobody would get another shot ever again if this became public knowledge.
Check out the disability data. Its compelling to me, from the big-picture perspective. Divide by two (or three, if you are conservative), to get deaths.
https://fred.stlouisfed.org/series/LNU00074597
Wow David! That is great and reasonable observation. It's would be great to run death by dose analysis in VAERS, except much "cleansing" needs to be done. If anybody does it without cleansing that analysis is doggy doo-doo, like I've seen done by our "VAERS" leading experts. The reason is how reports are entered and peoples definition of units and "dose series". Many reports coming out now have one line item, 1 unit and you read the report and the person is on 4th dose. 1 unit of a bivalent booster assume the patient is on 3rd shot, etc.. doing the ole' dump & pump and not accounting for these inconsistencies makes analysis go into doggy doo-doo territory. Many shots, line item, lot# are entered as monovalent vax type when it is in fact a bivalent booster as recognized by the lot#. So the vax type covid19 (monovalent) & vax type covid19-2 (bivalent) are comingled tangled up mess. 714k/yr death rate sounds reasonable aka 2.8M dead from the jab. If a day of life is robbed by the vax it's still a vax death IMO. They think the big payout for the evil cabal is all the fetal demise and infertility.
It sounds like the data is dreadfully corrupt. It needs a natural language filter run on it to scan the fields (so you don't have to do it by hand), which emits a small number of new fields (dead/disabled/etc, vax dose, throttle-days, deleted, whatever else you think is critical) and then from that we might find some interesting big picture patterns. If i were good at the NLP stuff ... an expert system to take Eagle Wisdom and apply it automatically to each of the million records to extract out the important bits that we care about. I recall seeing all sorts of bogus lot numbers too. An automatic translator for common errors would be really useful. Just thinking out loud.
Yes, that's what we are doing at grass roots level with "Hawk" at https://deepdots.substack.com/, We use a python probability tool on the lot#s, he also has code written to extract "ages" from summary narrative, code for gender, etc. all to help with those missing data points. Same techniques would apply to clean up the dosing ambiguity. In a perfect world somebody could help fund me, like NVIC funds Steve Rubin for MedAlerts.org. and really bring pharmacovigilance into the next epoch complete with the data viz dashboards. I don't know if it will by me or someone else. I consider my stuff beta and what can be done. I wouldn't mind if some real experts came in and pushed the system forward. I don't consider it stealing my ideas just evolution. I feel obligated until a real system gets put in place. I wouldn't mind retiring from VAERS and going back to BBQ's and fantasy football. I know I can make more $$ with fantasy football then I will ever make being a VAERS watchdog. Oh well, plenty of time for that later, right now we have a genocide going on and everybody needs to find a battle station. God Bless
My contribution is just investivation - if you have csv files for VAERS summary meta data (monthly) timeseries I can download, I could use my python skills to correlate them with the BLS data (Ed Dowd-style, minus the z-scores), and see if there is a pony in there somewhere. I have a bunch of timeseries I've downloaded and its easy for me to integrate them. But of course that's just more work for you rather than a handful of cash or a promise to work on your project, so its probably not what you need right now.
Lots of us deeply appreciate you & have your back!!
Surely there's an agency, institution or foundation that would take the batton! Someone with teeth! Surgeon General? Department of Health & Human Services? (Too idealistic of me?) Americans For Responsible Technology? Library O Congress board of trustees? AARP? Yes, the hiding/gaslighting/disposing of public medical data is dereliction of their duty to the public and to the governmental departments that provided for their administrative duties. Holding up critical evidence for evaluation of prior protocols and policies should be a crime! The more they hide, the more guilty they appear. Are there judges for medical administorial crimes?
Thank you for your research and for reporting!