Since enactment, the Program has paid out approximately $1.17 billion in awards ... for injuries related to vaccines ... excise tax of 75 cents on every dose of vaccine
[has this also been increasing with inflation? If so, now more than $9 billion with 12 billion doses worldwide]
Jessica Rose has a couple of options if she wants to become accurate. She could suddenly learn to rely on those who know what they're doing instead of brushing them off or learn regular expression pattern matching herself. For example, to fill in the 330,000+ missing ages, she would:
First clear those like 41â years-old with .replace(r'[^\x00-\x7F]+', '') by removing that European unicode character.
To avoid error, cope with those like 1 year and 2 months and 3 days old: r'\band\s*.{0,6}\W?months*\W?'
Verify there are no longer any like r'\b((?:\d+[\,\.])*\d{1,3}[\s\-]*years*).{0,5}(?:\d+[\,\.])*\d{1,3}[\s\-]*months*'
Capture pattern 6-month-10-days-old male like r'\b((?:\d+[\,\.])*\d{1,3}[\s\-]*months*).{0,5}(?:\d+[\,\.])*\d{1,3}[\s\-]*(?:week|day)s*'
Also like 4-weeks and 2-days-old female with r'\b((?:\d+[\,\.])*\d{1,3}[\s\-]*weeks*).{0,5}(?:\d+[\,\.])*\d{1,3}[\s\-]*days*'
And get male patient aged 0 to 17 years (or ages): r'\bage[a-z]?.{1,9}\d+\s*(?:\-|to)\s*\d+\s*(?:month|year)s*'
Handle adults aged 18 years or older: r'\b(?:age[a-z]?\s*)\d+\s*(?:month|year)s*\s*or\s*older'
And at least 18 years old: r'at least \d+\s*(?:day|week|month|year)s*\s*(?:of age|old)'
Screen out for 5 to 11 years old: r'\b\d+\s*(?:\?|\W|to)\s*\d+ years*'
Cover 0-year-old and 0-days-old: r'\D0[\s\-]\w{1,7}[\s\-]old'
Then do a few replacements:
replaces1 = {
# 8,5 month old (european style) or 3.5-months-old included using (?:\d+[\,\.])*
r'.*?\b((?:\d+[\,\.])*\d{1,3}[\s\-]*(?:year|month|week|day|decade)s?\W*old|\d+ of age)\b.*': r'\1',
r'.*?\b(aged*\W*\d{1,3})\D.*' : r'\1', # avoid age 1980, get age:18 and age 31 and/or aged 62
r'.*?\b(\d+[\s\-]*yr*[\.\W]*\s*o)\b.*' : r'\1', # 11yo, 12 yo, 14 y/o, 15 y o, 16 yr o, 17 y. o.
}
And some others:
replaces2 = {
's+' : r'' , # bizaro replace/regex bug. Going after like 's' in decades but only works with the +. Or [ss] (s or s) works also.
r'\-+' : r' ' ,
r'\W+' : r' ' ,
r'\s+' : r' ' ,
r'\s*(?<!a)(?:yr*\W*\s*o|year|old|of age|aged*)': r' ' , # 25 y/o, yo, y o, 25yo etc but (?<!a) to avoid turning 10 day old into 10 da ld
Not dumb, probably just science arrogant-ism. They like to get square pegs to fit in round holes.... For the VAERS job I'd take a MS full stack developer over a PhD any day of the week and twice and Sunday.
Eagle may be more correct than I was in my use of that unfortunate term, he'd agree it can be simply more like alluded to in the article, a phenomon, as more of a dedication to truth in her, side-effect, yep, as curious as that might sound, hear me out folks:
There's a video where people are passing basketballs quickly to each other and you're asked to count the number of passes. At the end it asks, did you see the gorilla?
To my amazement, I did not, the first time. My mind was so focused in keeping a count that I totally missed the guy in the gorilla suit moving through there. Even though I have a very high IQ. Wow.
I wanted to replace 'dumb' with 'hubrissy' but no, I think it's that while I may be a genius I'm also evidently a gorilla and she couldn't see me, being so dedicated to getting the count. Well, her count is too low. She should reach out to me saying, ok you got me there, do tell.
And I would explain the regex's that resulted in these much higher figures (80K, 190K) in an initial wide net on female & baby or cardio & vascular etc, for example, which everyone is ignoring, not just her, because VAERS is rigged that way to keep us all from seeing: http://hawkvaers.com/download/searched/ Are there some false positives? Surely. Who wants to count those? How about Naomi's team of 3500? Then some more regex to screen them out programmatically and tada ... we all wind up with clean pure truth to agree upon.
You got some valuable skills for sure Hawk, I for one can attest to that. I wish more people would lean into your skills, utilize your code or simply just ponder on your stuff. Game recognize game, I recognize you got big time game when it comes to data.
Yes I've made hundreds of videos about all the carnival tricks, a few substacks, a PowerPoint presentation, a whole website and interactive dashboard dedicated to the Las Vegas card tricks. https://www.bitchute.com/channel/welcometheeagle88/ . Also check out the 3rd slide in this deck for a short list https://www.vaersaware.com/my-powerpoint . So basically here I just called out the UNK Ages that are clearly documented in the write-up, but I did not even mention the whole dosing/units fiasco that exists, or the mono/bivalent inaccuracy that exists if one simply dumps and counts. Presentations and analysis will be wildly off without a little due diligence prep work and data modeling. IMO
The Devil always resides in the evil detail. Thank you for drilling into this agony so attentively. There are many voices crying in the wilderness, each in their way, with their tune and nuance.
For sure Liam thank you, and I'm excited to see your next chapter! Congrats on your continued success with your music and whatever platform you decide to create for yourself.
Incompetent US COVID-19 Vax Injury Compensation Program Has No Computer Systems!
https://www.youtube.com/watch?v=2Zh1LTwlRKo&t=492s
VAERS LAW states compensation for injury is pegged to inflation, thus $670,000+ in today's dollars. The money is already set aside for that purpose.
§300aa–15. Compensation https://www.law.cornell.edu/uscode/text/42/300aa-15
... actual and projected pain and suffering and emotional distress from the vaccine-related injury, an award not to exceed $250,000.
... (2)In the event of a vaccine-related death, an award of $250,000 for the estate of the deceased.
... shall be paid from the Vaccine Injury Compensation Trust Fund
Or $677,000 in today's dollars. https://www.ncbi.nlm.nih.gov/books/NBK220067/
“INCREASE FOR INFLATION ... compensation ... shall ... be increased by the percent change in the Consumer Price Index
75 cents per vaccine in 1988
https://www.congress.gov/congressional-report/106th-congress/house-report/977/1
Since enactment, the Program has paid out approximately $1.17 billion in awards ... for injuries related to vaccines ... excise tax of 75 cents on every dose of vaccine
[has this also been increasing with inflation? If so, now more than $9 billion with 12 billion doses worldwide]
Dr David Martin addresses the European Parliament. https://twitter.com/KimDotcom/status/1661698114917646336
Jessica Rose has a couple of options if she wants to become accurate. She could suddenly learn to rely on those who know what they're doing instead of brushing them off or learn regular expression pattern matching herself. For example, to fill in the 330,000+ missing ages, she would:
First clear those like 41â years-old with .replace(r'[^\x00-\x7F]+', '') by removing that European unicode character.
To avoid error, cope with those like 1 year and 2 months and 3 days old: r'\band\s*.{0,6}\W?months*\W?'
Verify there are no longer any like r'\b((?:\d+[\,\.])*\d{1,3}[\s\-]*years*).{0,5}(?:\d+[\,\.])*\d{1,3}[\s\-]*months*'
Capture pattern 6-month-10-days-old male like r'\b((?:\d+[\,\.])*\d{1,3}[\s\-]*months*).{0,5}(?:\d+[\,\.])*\d{1,3}[\s\-]*(?:week|day)s*'
Also like 4-weeks and 2-days-old female with r'\b((?:\d+[\,\.])*\d{1,3}[\s\-]*weeks*).{0,5}(?:\d+[\,\.])*\d{1,3}[\s\-]*days*'
And get male patient aged 0 to 17 years (or ages): r'\bage[a-z]?.{1,9}\d+\s*(?:\-|to)\s*\d+\s*(?:month|year)s*'
Handle adults aged 18 years or older: r'\b(?:age[a-z]?\s*)\d+\s*(?:month|year)s*\s*or\s*older'
And at least 18 years old: r'at least \d+\s*(?:day|week|month|year)s*\s*(?:of age|old)'
Screen out for 5 to 11 years old: r'\b\d+\s*(?:\?|\W|to)\s*\d+ years*'
Cover 0-year-old and 0-days-old: r'\D0[\s\-]\w{1,7}[\s\-]old'
Then do a few replacements:
replaces1 = {
# 8,5 month old (european style) or 3.5-months-old included using (?:\d+[\,\.])*
r'.*?\b((?:\d+[\,\.])*\d{1,3}[\s\-]*(?:year|month|week|day|decade)s?\W*old|\d+ of age)\b.*': r'\1',
r'.*?\b(aged*\W*\d{1,3})\D.*' : r'\1', # avoid age 1980, get age:18 and age 31 and/or aged 62
r'.*?\b(\d+[\s\-]*yr*[\.\W]*\s*o)\b.*' : r'\1', # 11yo, 12 yo, 14 y/o, 15 y o, 16 yr o, 17 y. o.
}
And some others:
replaces2 = {
's+' : r'' , # bizaro replace/regex bug. Going after like 's' in decades but only works with the +. Or [ss] (s or s) works also.
r'\-+' : r' ' ,
r'\W+' : r' ' ,
r'\s+' : r' ' ,
r'\s*(?<!a)(?:yr*\W*\s*o|year|old|of age|aged*)': r' ' , # 25 y/o, yo, y o, 25yo etc but (?<!a) to avoid turning 10 day old into 10 da ld
r'^\s+' : r'' ,
r'\s+$' : r'' ,
}
... for example.
She has an ability to reach people, I don't. We need each other, she's just too dumb to realize it.
Not dumb, probably just science arrogant-ism. They like to get square pegs to fit in round holes.... For the VAERS job I'd take a MS full stack developer over a PhD any day of the week and twice and Sunday.
Eagle may be more correct than I was in my use of that unfortunate term, he'd agree it can be simply more like alluded to in the article, a phenomon, as more of a dedication to truth in her, side-effect, yep, as curious as that might sound, hear me out folks:
There's a video where people are passing basketballs quickly to each other and you're asked to count the number of passes. At the end it asks, did you see the gorilla?
To my amazement, I did not, the first time. My mind was so focused in keeping a count that I totally missed the guy in the gorilla suit moving through there. Even though I have a very high IQ. Wow.
I wanted to replace 'dumb' with 'hubrissy' but no, I think it's that while I may be a genius I'm also evidently a gorilla and she couldn't see me, being so dedicated to getting the count. Well, her count is too low. She should reach out to me saying, ok you got me there, do tell.
And I would explain the regex's that resulted in these much higher figures (80K, 190K) in an initial wide net on female & baby or cardio & vascular etc, for example, which everyone is ignoring, not just her, because VAERS is rigged that way to keep us all from seeing: http://hawkvaers.com/download/searched/ Are there some false positives? Surely. Who wants to count those? How about Naomi's team of 3500? Then some more regex to screen them out programmatically and tada ... we all wind up with clean pure truth to agree upon.
You got some valuable skills for sure Hawk, I for one can attest to that. I wish more people would lean into your skills, utilize your code or simply just ponder on your stuff. Game recognize game, I recognize you got big time game when it comes to data.
Science hasn't yet discovered a way to communicate with those who live in a bubble of their own fame-self-glory.
Part of the problem when there's a baby involved is that it's two people, mother and child, but only one age field.
Hmmmm. .... so you are saying almost 80% of the unknown ages are in the narrative .....
That would be more of a scandal than you are making it out to be ... fraud
I wonder what else is in the “narrative” that is missing in the data???? Did you talk about that?
https://www.vaersaware.com/my-powerpoint
Yes I've made hundreds of videos about all the carnival tricks, a few substacks, a PowerPoint presentation, a whole website and interactive dashboard dedicated to the Las Vegas card tricks. https://www.bitchute.com/channel/welcometheeagle88/ . Also check out the 3rd slide in this deck for a short list https://www.vaersaware.com/my-powerpoint . So basically here I just called out the UNK Ages that are clearly documented in the write-up, but I did not even mention the whole dosing/units fiasco that exists, or the mono/bivalent inaccuracy that exists if one simply dumps and counts. Presentations and analysis will be wildly off without a little due diligence prep work and data modeling. IMO
500 v 215 Did you get an answer from Dr Rose?
I know the answer. It's 500<
This is the official count: https://medalerts.org/vaersdb/findfield.php?TABLE=ON&GROUP1=AGE&EVENTS=ON&VAX[]=COVID19&VAX[]=COVID19-2&DIED=Yes&WhichAge=range&LOWAGE=0&HIGHAGE=17.99
These couple hundred reports are dead kids not counted for lack of age field being unpopulated: https://www.vaersaware.com/kids-unk-age-deaths
You can click any report to launch and authenticate...
Thank you--I intend to use Jessica's slide and now to add yours and your source
The Devil always resides in the evil detail. Thank you for drilling into this agony so attentively. There are many voices crying in the wilderness, each in their way, with their tune and nuance.
For sure Liam thank you, and I'm excited to see your next chapter! Congrats on your continued success with your music and whatever platform you decide to create for yourself.