@ThroneScience Between prostate cancer and enlarged prostate, diverticulosis, and irritable bowel syndrome running in my family, I'm beyond grateful for the insights that Throne provides.
Being a part of the team is one of the greatest gifts I've been given.
Pumped to be here and congrats!
We raised $10 million Series A to build the next generation of Throne! 🎉
Your body files a health report every single day, but very few read it. We built a sensor that reads it for you, automatically, with no logging and no habit to maintain.
This round funds the next generation of the device, more scientists and engineers, and the research behind our long-term vision: a smoke detector for colon cancer and the other cancers of the lower GI and urinary tracts.
Grateful to Will Ventures for leading, and to every partner and member who got us here.
@Brady_H When they're burning 900-1200kcal/hr at the paces they're running even 140g is 560kcal -- sounds excessive but if it's the target then 100-120g is probably not crazy
BREAKING: Anthropic just released a study showing which jobs its own AI is already replacing—right now.
And the workers most at risk aren’t who anyone expected: they’re older, more educated, and higher paid. They earn 47% more than average—and they’re nearly four times more likely to hold a graduate degree than workers AI isn’t touching.
The case is simple. Anthropic built a new metric called “observed exposure”—not what AI might do in theory, but what it’s actually doing today on the job—measured across millions of real Claude conversations from enterprise users.
For computer and math workers, AI could theoretically handle 94% of their tasks. Today, it’s doing 33%. In office and administrative roles, the ceiling is 90%, and current usage is 40%. The gap between what AI can do and what it’s actually doing is massive—and the researchers don’t mince words about what happens next: as capability improves and adoption spreads, the red area expands until it swallows the blue.
What makes the paper unsettling is the demographic twist. The most AI-exposed workers earn 47% more, on average, than the least exposed. They’re more likely to be women. More likely to be college educated. This isn’t a story about warehouse floors or long-haul routes. It’s about lawyers, financial analysts, market researchers, and software developers—the very people who were told their education would protect them.
Computer programmers show the highest measured AI exposure: 74.5%. Customer service reps: 70.1%. Data entry: 67.1%. Medical records: 66.7%. Marketing and market research: 64.8%. These aren’t forecasts. They’re measurements of work already being done on AI platforms today.
Then there’s the pipeline problem—still not getting nearly enough attention.
Anthropic researchers found a 14% drop in the job‑finding rate for 22–25‑year‑olds in highly exposed occupations since ChatGPT launched. No comparable effect for workers over 25. Entry-level roles were never “just jobs.” They were the apprenticeship layer: where junior analysts became senior analysts, where junior lawyers learned how arguments actually
PDF: https://t.co/tnk5Ri7CoP
I've watched friends fail and succeed based on whether they had the audacity to keep trying or the money to throw at problems they could not solve quickly.
In the 1920s, a Stanford psychologist tracked genius children for 50 years.
Malcolm Gladwell breaks down what he discovered:
Rich families → successful. Poor families → failures.
Not average. Failures. Genius-level IQs that produced nothing.
He spent 60 minutes at Microsoft explaining why we're wrong about success:
The psychologist was named Terman. He gave IQ tests to 250,000 California schoolchildren.
He identified the top 0.1%. Kids with IQs of 140 and above.
His hypothesis: these children would become the leaders of academia, industry, and politics.
He tracked them. And tracked them. For decades.
The results split into three groups.
The top 15% achieved real prominence. The middle group had average, moderately successful professional lives.
And the bottom group? By any measure, failures.
The difference wasn't personality. Wasn't habits. Wasn't work ethic.
It was simple: the successful geniuses came from wealthy households. The failures came from poor families.
Poverty is such a powerful constraint that it can reduce a one-in-a-billion brain to a lifetime of worse than mediocrity.
There's a concept called "capitalization rate."
It asks a simple question: what percentage of people who are capable of doing something actually end up doing that thing?
In inner city Memphis, only 1 in 6 kids with athletic scholarships actually go to college.
If our capitalization rate for sports in the inner city is 16%, imagine how low it must be for everything else.
Here's something stranger.
Gladwell read the birth dates of the 2007 Czech Junior Hockey Team:
January 3rd. January 3rd. January 12th. February 8th. February 10th. February 17th. February 20th. February 24th. March 5th. March 10th. March 26th...
11 of the 20 players were born in January, February, or March.
This isn't unique to the Czechs. Every elite hockey team in the world shows the same pattern. Every elite soccer team too.
Why?
The eligibility cutoff for youth leagues is January 1st.
When you're 10 years old, a kid born in January has 10 months of maturity on a kid born in October. That's 3 or 4 inches of height. The difference between clumsy and coordinated.
So we look at a group of 10 year olds, pick the "best" ones, give them special coaching, extra practice, more games.
We think we're identifying talent. We're just identifying the oldest.
Then we give the oldest more opportunities, and 10 years later they really are the best.
Self-fulfilling prophecy.
The capitalization rate for hockey talent born in the second half of the year? Close to zero.
We're leaving half of all potential hockey players on the table because of an arbitrary date on a calendar.
Kids born in the youngest cohort of their school class are 11% less likely to go to college.
11% of human potential squandered because we organize elementary school without reference to biological maturity.
Now here's the part about math.
Asian kids dramatically outperform Western kids in mathematics. The gap is enormous and consistent across decades of testing.
Some people say it's genetic. It's not.
It's attitudinal.
When Asian kids face a math problem, they believe effort will solve it.
When Western kids face a math problem, they believe the answer depends on innate ability they either have or don't.
Here's the proof.
The international math tests include a 120-question survey. It asks about study habits, parental support, attitudes.
It's so long most kids don't finish it.
A researcher named Erling Boe decided to rank countries by what percentage of survey questions their kids completed.
Then he compared it to the ranking of countries by math performance.
The correlation was 0.98.
In the history of social science, there has never been a correlation that high.
If you want to know how good a country is at math, you don't need to ask any math questions. Just make kids sit down and focus on a task for an extended period of time.
If they can do it, they're good at math.
Why do Asian cultures have this attitude?
Gladwell's theory: rice farming.
His European ancestors in medieval England worked about 1,000 hours a year. Dawn to noon, five days a week. Winters off. Lots of holidays.
A peasant in South China or Japan in the same period worked 3,000 hours a year.
Rice farming isn't just harder than wheat farming. It's a completely different relationship with work.
There's a Chinese proverb: "A man who works dawn to dusk 360 days a year will not go hungry."
His English ancestors would have said: "A man who works 175 days a year, dawn to 11, may or may not be hungry."
If your culture does that for a thousand years, it becomes part of your makeup.
When your kids sit down to face a calculus problem, that legacy of persistence translates perfectly.
Now consider distance running.
In Kenya, there are roughly a million schoolboys between 10 and 17 running 10 to 12 miles a day.
In the United States, that number is probably 5,000.
Our capitalization rate for distance running is less than 1%.
Kenya's is probably 95%.
The difference isn't genetic. The difference is what the culture values and where it spends its attention.
Here's the most fascinating finding.
30% of American entrepreneurs have been diagnosed with a profound learning disability.
Richard Branson is dyslexic. Charles Schwab is dyslexic. John Chambers can barely read his own email.
This isn't coincidence. Their entrepreneurialism is a direct function of their disability.
How do you succeed if you can't read or write from early childhood?
You learn to delegate. You become a great oral communicator. You become a problem solver because your entire life is one big problem. You learn to lead.
80% of dyslexic entrepreneurs were captain of a high school sports team. Versus 30% of non-dyslexic entrepreneurs.
By the time they enter the real world, they've spent their whole life practicing the four skills at the core of entrepreneurial success: delegation, oral communication, problem solving, and leadership.
Ask them what role dyslexia played in their success and they don't say it was an obstacle.
They say it's the reason they succeeded.
A disadvantage that became an advantage.
Here's what Gladwell wants you to understand:
When we see differences in success, our default explanation is differences in ability.
We forget how much poverty, stupidity, and attitude constrain what people can become.
We refuse to admit that our own arbitrary rules are leaving talent on the table.
We cling to naive beliefs that our meritocracies are fair.
The capitalization argument is liberating.
It says you don't look at a struggling group and conclude they're incapable. It says problems that look genetic or innate are often just failures of exploitation.
It says we can make a profound difference in how well people turn out.
If we choose to pay attention.
This 60 minute Microsoft talk will teach you more about success than every self-help book you've ever read combined.
Bookmark this & give it an hour today, no matter what.
My mom taught me that adaptability and perspective context switching are the most important skills we can have. Most people succeed or fail in the long-game for life based on one or both of those skills.
We have wearables to track our cardio and sleep.
We have CGMs to track our metabolic health.
But when it comes to our daily gut health, hydration, and urinary health, we've been completely in the dark.
Today, that changes.
Listen to your gut, with Throne.
@_Investinq@CapitanVideo Genuine question -- if we eliminate all of these jobs on a global scale, where do those people end up? If you multiply Millions of companies by a 50% reduction in workforce, this feels catastrophic for GDPs and profit in a long-term system where jobs cut don't evolve to new jobs?
@taggartvanetten We've used them in each of our Hood To Coast vans for the last 6 years and it's by and far the only time triple threshold hasn't been impossible
@mackinprof@mackinprof hi Dr. Phillips, I was hoping to find out if you have a systematic review on th strength-endurance continuum as evidence has shown it to exist as you pointed out below? Not disagreeing but hoping to share with friends, thanks in advance!