Nicolai Reuschling 🇪🇺

Auch: @[email protected]

[Nicolai Reuschling 🇪🇺 @codeblogger]

In the face of overwhelming odds, I'm left with only 1 option, I'm gonna have to science the shit out of this.
–Mark Watney, Mars Colonizer

[Nicolai Reuschling 🇪🇺 @codeblogger]

🙄

https://t.co/srHBZF2be7

[Nicolai Reuschling 🇪🇺 @codeblogger]

„Meetings are where productivity goes to die and liability goes to get spread around.“

[Nicolai Reuschling 🇪🇺 @codeblogger]

https://t.co/kzgfykd6Lr

[Nicolai Reuschling 🇪🇺 @codeblogger]

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[Men of Purpose @Men_Of_Purpose]

Why intelligent people are always alone ‼️

[Nicolai Reuschling 🇪🇺 @codeblogger]

So, here is a new game I like to play: Keep conversations going with repeating one sentence: "Oh, I think you are (still) underestimating the implications of this AI revolution right now."

[Nicolai Reuschling 🇪🇺 @codeblogger]

Vindicated!

[Jaynit @jaynitx]

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.

[Nicolai Reuschling 🇪🇺 @codeblogger]

https://t.co/f5CBEiTjNj

[Nicolai Reuschling 🇪🇺 @codeblogger]

https://t.co/HV1xu1kNOA

[Nicolai Reuschling 🇪🇺 @codeblogger]

Lauter Meetings und es ist erst "ich muss dringend auf die Toilette" Uhr.

[Nicolai Reuschling 🇪🇺 @codeblogger]

This is no exception.

https://t.co/QqZJqWqGMa

[The Curious Tales @thecurioustales]

🚨 I just learned about a concept, I can't stop thinking about.

The Four Burner Theory.

It destroyed Elon Musk's first marriage.
It explains why Bezos is jacked but divorced.

And why Zuckerberg has no real friends.

Once you understand it, your life will never be same:🧵

[Nicolai Reuschling 🇪🇺 @codeblogger]

https://t.co/15vI8zKeiQ

[Marco Foster @MarcoFoster_]

Jon Stewart on the ICE murder of Alex Pretti: “They’re lying. We saw it. That’s how brazen they lie when they know we’ve seen the truth. Imagine how they lie when there’s no evidence to contradict them. Maybe that explains why Alex Pretti really was a threat. Because he was brandishing a weapon. A handheld, aluminum, 1080p, 60fps weapon of mass illumination. Because there is nothing more dangerous to a regime predicated on lies than witnesses who capture the truth”

[Nicolai Reuschling 🇪🇺 @codeblogger]

Disaster planning for regular folks
https://t.co/BEQ5wpJz3o

[Peter Girnus 🦅 @gothburz]

Last quarter I rolled out Microsoft Copilot to 4,000 employees.

$30 per seat per month.

$1.4 million annually.

I called it "digital transformation."

The board loved that phrase.

They approved it in eleven minutes.

No one asked what it would actually do.

Including me.

I told everyone it would "10x productivity."

That's not a real number.

But it sounds like one.

HR asked how we'd measure the 10x.

I said we'd "leverage analytics dashboards."

They stopped asking.

Three months later I checked the usage reports.

47 people had opened it.

12 had used it more than once.

One of them was me.

I used it to summarize an email I could have read in 30 seconds.

It took 45 seconds.

Plus the time it took to fix the hallucinations.

But I called it a "pilot success."

Success means the pilot didn't visibly fail.

The CFO asked about ROI.

I showed him a graph.

The graph went up and to the right.

It measured "AI enablement."

I made that metric up.

He nodded approvingly.

We're "AI-enabled" now.

I don't know what that means.

But it's in our investor deck.

A senior developer asked why we didn't use Claude or ChatGPT.

I said we needed "enterprise-grade security."

He asked what that meant.

I said "compliance."

He asked which compliance.

I said "all of them."

He looked skeptical.

I scheduled him for a "career development conversation."

He stopped asking questions.

Microsoft sent a case study team.

They wanted to feature us as a success story.

I told them we "saved 40,000 hours."

I calculated that number by multiplying employees by a number I made up.

They didn't verify it.

They never do.

Now we're on Microsoft's website.

"Global enterprise achieves 40,000 hours of productivity gains with Copilot."

The CEO shared it on LinkedIn.

He got 3,000 likes.

He's never used Copilot.

None of the executives have.

We have an exemption.

"Strategic focus requires minimal digital distraction."

I wrote that policy.

The licenses renew next month.

I'm requesting an expansion.

5,000 more seats.

We haven't used the first 4,000.

But this time we'll "drive adoption."

Adoption means mandatory training.

Training means a 45-minute webinar no one watches.

But completion will be tracked.

Completion is a metric.

Metrics go in dashboards.

Dashboards go in board presentations.

Board presentations get me promoted.

I'll be SVP by Q3.

I still don't know what Copilot does.

But I know what it's for.

It's for showing we're "investing in AI."

Investment means spending.

Spending means commitment.

Commitment means we're serious about the future.

The future is whatever I say it is.

As long as the graph goes up and to the right.

[Nicolai Reuschling 🇪🇺 @codeblogger]

“We Are the Ones We've Been Waiting For” https://t.co/6xvFYqpXfo

[Nicolai Reuschling 🇪🇺 @codeblogger]

"I could throw this baked potato at this guy's head right now, I sat there thinking. It would hit him right in the face." https://t.co/ntJ8MHEq0n

[Nicolai Reuschling 🇪🇺 @codeblogger]

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