Forwarded from Grumpy's Rabbit Hole
_Why Are Some Vaccine Injured and Others Not?_
FTA: McCullough’s core answer is a three-factor model. The first factor is batch variability: he claims the mRNA doses were not uniform, that some people received a very low concentration of messenger RNA, and he points to Pfizer’s lot data — roughly 4,500 lots, with about 75% showing essentially zero serious side effects — as evidence that the product was inconsistent rather than harmless. The second factor is antibody neutralization. If a person’s immune system perfectly neutralizes the spike protein, he says there appear to be no side effects at all; but if the “library” of antibodies is off even slightly, the spike protein can roam through the body and cause damage and syndromes. The third factor is baseline susceptibility. In his cardiology practice, he says, patients with baseline mutations in heart muscle proteins are at increased risk for myocarditis, and those with genetic predispositions to clotting are at increased risk of a vaccine-associated blood clot. McCullough’s answer rests on three variables that, in his telling, determine who gets hurt and who walks away fine:
* Batch variability — mRNA doses were not uniform. Some lots contained very little active mRNA, which he links to a large share of Pfizer’s lots showing no serious side effects. The implication: it wasn’t that the product was harmless, but that some people effectively got a low dose.
* Antibody neutralization — If the immune system fully neutralizes the spike protein, no problem. If the antibody “library” is slightly off, the spike protein is free to circulate and cause damage.
* Baseline susceptibility — Pre-existing mutations in heart muscle proteins raise myocarditis risk; genetic clotting predispositions raise clot risk. In his framing, the vaccine is the trigger, and genetics determine who gets hit.
He repeatedly cites a 98% / 2% split — around 2% of the vaccinated population, per his reading of CDC vSafe data, developing problems.
https://www.thefocalpoints.com/p/why-are-some-vaccine-injured-and
FTA: McCullough’s core answer is a three-factor model. The first factor is batch variability: he claims the mRNA doses were not uniform, that some people received a very low concentration of messenger RNA, and he points to Pfizer’s lot data — roughly 4,500 lots, with about 75% showing essentially zero serious side effects — as evidence that the product was inconsistent rather than harmless. The second factor is antibody neutralization. If a person’s immune system perfectly neutralizes the spike protein, he says there appear to be no side effects at all; but if the “library” of antibodies is off even slightly, the spike protein can roam through the body and cause damage and syndromes. The third factor is baseline susceptibility. In his cardiology practice, he says, patients with baseline mutations in heart muscle proteins are at increased risk for myocarditis, and those with genetic predispositions to clotting are at increased risk of a vaccine-associated blood clot. McCullough’s answer rests on three variables that, in his telling, determine who gets hurt and who walks away fine:
* Batch variability — mRNA doses were not uniform. Some lots contained very little active mRNA, which he links to a large share of Pfizer’s lots showing no serious side effects. The implication: it wasn’t that the product was harmless, but that some people effectively got a low dose.
* Antibody neutralization — If the immune system fully neutralizes the spike protein, no problem. If the antibody “library” is slightly off, the spike protein is free to circulate and cause damage.
* Baseline susceptibility — Pre-existing mutations in heart muscle proteins raise myocarditis risk; genetic clotting predispositions raise clot risk. In his framing, the vaccine is the trigger, and genetics determine who gets hit.
He repeatedly cites a 98% / 2% split — around 2% of the vaccinated population, per his reading of CDC vSafe data, developing problems.
https://www.thefocalpoints.com/p/why-are-some-vaccine-injured-and
Thefocalpoints
Why Are Some Vaccine Injured and Others Not?
Dan Bongino & Dr McCullough explore the roles of batch variability, immune response, biological susceptibility, and individual variation in COVID-19 vaccine recipients.
Forwarded from Grumpy's Rabbit Hole
_5 Claude Tricks That Give You an Unfair Advantage (Most People Still Use the Old Way)_
https://medium.com/ai-engineering-simplified/5-claude-tricks-that-give-you-an-unfair-advantage-most-people-still-use-the-old-way-0385a58057c7
https://medium.com/ai-engineering-simplified/5-claude-tricks-that-give-you-an-unfair-advantage-most-people-still-use-the-old-way-0385a58057c7
Forwarded from Grumpy's Rabbit Hole
_The Actual Reason Why Google “Fell Out” of the AI Race Changes Everything_
The author's thesis:
FTA: Google DeepMind CEO Demis Hassabis (recently changed roles within Google) doesn’t think that automating AI research with coding agents (AI systems that can program better AI systems) is the correct approach to artificial general intelligence (AGI, the kind of AI that’s as good as humans at everything). Google DeepMind’s leadership sees OpenAI and Anthropic’s bet at best as an off-ramp, and at worst as a dead end.
Hassabis is betting on something else: world models. Models that can understand and simulate the real world, not just predict the next token.
And he’s steering Google accordingly. The AI race is actually a race between two theories of intelligence and also between two kinds of company: startups that need AI to become a business, and an incumbent whose existing business can subsidize AI for years. As we will see, Hassabis’s decision puts Google in a life-or-death situation. He could make Google the absolute leader or an irrelevant laggard.
https://albertoromgar.medium.com/the-actual-reason-why-google-fell-out-of-the-ai-race-changes-everything-d935663a09c3
The author's thesis:
FTA: Google DeepMind CEO Demis Hassabis (recently changed roles within Google) doesn’t think that automating AI research with coding agents (AI systems that can program better AI systems) is the correct approach to artificial general intelligence (AGI, the kind of AI that’s as good as humans at everything). Google DeepMind’s leadership sees OpenAI and Anthropic’s bet at best as an off-ramp, and at worst as a dead end.
Hassabis is betting on something else: world models. Models that can understand and simulate the real world, not just predict the next token.
And he’s steering Google accordingly. The AI race is actually a race between two theories of intelligence and also between two kinds of company: startups that need AI to become a business, and an incumbent whose existing business can subsidize AI for years. As we will see, Hassabis’s decision puts Google in a life-or-death situation. He could make Google the absolute leader or an irrelevant laggard.
https://albertoromgar.medium.com/the-actual-reason-why-google-fell-out-of-the-ai-race-changes-everything-d935663a09c3
Medium
The Actual Reason Why Google “Fell Out” of the AI Race Changes Everything
Hottest story of the year
Forwarded from Grumpy's Rabbit Hole
_Lusaint - Wicked Game (Cover)_
An absolutely phenomenal cover of Chris Isaak's "Wicked Game"
https://www.youtube.com/watch?v=DDUptOux5v4
An absolutely phenomenal cover of Chris Isaak's "Wicked Game"
https://www.youtube.com/watch?v=DDUptOux5v4
YouTube
Lusaint - Wicked Game (Cover)
Stream/Download:
https://lusaint.lnk.to/wickedgame
Follow Lusaint:
http://www.Instagram.com/lusaintmusic
http://www.Facebook.com/lusaintmusic
http://www.Twitter.com/lusaintmusic
https://lusaint.lnk.to/wickedgame
Follow Lusaint:
http://www.Instagram.com/lusaintmusic
http://www.Facebook.com/lusaintmusic
http://www.Twitter.com/lusaintmusic
Forwarded from Grumpy's Rabbit Hole
Sounds similar to how my family got its milk in Oakland, CA in the early 1960s.
https://fixupx.com/SamaHoole/status/2106979013965054293
https://fixupx.com/SamaHoole/status/2106979013965054293