Authorities

[Authorities @author_ities]

@BasedMikeLee Maybe squeeze in some time to pass the CLARITY act and get it out of the way

[Authorities @author_ities]

@LanceRoberts @MichaelKantro https://t.co/MdiFLQpNJk

[Authorities @author_ities]

@adamtaggart Looks like its on sale again!!

[Authorities @author_ities]

@adamtaggart Haters gonna hate
You should be proud to be so popular

[RG | BEATS @DR_BEATS_KICK]

Can you rt this? Maybe we can make a difference

[Lance Roberts @LanceRoberts]

According to @sentimentrader there are more S&P 500 stocks making new 252-day lows despite the very strong market rally.
h.t @thedailyshot

[Otavio (Tavi) Costa @TaviCosta]

Mining companies today are generating the largest profit margins of any sector in the global economy by far.

Much of the market remains asleep and still analyzes mining through an outdated framework from decades ago.

To be clear:

Miners today are producing profit margins nearly double those of tech companies.

At current metal prices, this environment is absolute nirvana for well-run mining businesses.

https://t.co/rRpQ7qqZ5H

[Free Talk Live @FreeTalkLive]

Robinhood was not a socialist.

[Warren Davidson 🇺🇸 @WarrenDavidson]

The 4th Amendment does not say, “If you have nothing to hide, you have nothing to fear.” Instead, it protects your right to privacy. As the Europeans abandon our values, let us keep calm and defend freedom.

No digital ID. No CBDC. No surveillance state.

[Ihtesham Ali @ihtesham2005]

A Hungarian psychologist raised three daughters to prove that any child could become a chess grandmaster through early specialization. He succeeded. Two of them became grandmasters. One became the greatest female chess player who ever lived.

Then a sports scientist looked at the data and found something nobody wanted to hear.

His name is David Epstein. The book is called "Range."

The Polgar experiment is one of the most famous case studies in the history of deliberate practice. Laszlo Polgar wrote a book before his daughters were even born arguing that geniuses are made, not born. He homeschooled all three girls in chess from age four. By their teens, Susan, Sofia, and Judit were dominating tournaments against grown men. Judit became the youngest grandmaster in history at the time, breaking Bobby Fischer's record. The story became the gospel of early specialization. Pick a domain young, drill it hard, and you can manufacture excellence.

Epstein opens his book by telling that story honestly and then quietly demolishing the conclusion most people drew from it.

Chess works that way. Most things do not.

Here is the distinction that took him four years of research to articulate, and that almost nobody who quotes the 10,000 hour rule has ever read.

There are two kinds of environments in which humans develop expertise. Psychologists call them kind and wicked. A kind environment has clear rules, immediate feedback, and patterns that repeat reliably. Chess is the cleanest example. Every game ends with a winner and a loser. Every move is recorded. The board never changes shape. The pieces never invent new ways to move. A child who plays ten thousand games will see most of the patterns that exist in the game, and pattern recognition is exactly what chess mastery is built on.

A wicked environment is the opposite. Feedback is delayed or misleading. Rules shift. The patterns that worked yesterday may be exactly the wrong patterns to apply tomorrow. Most of the real world looks like this. Medicine is wicked. Investing is wicked. Building a company is wicked. Scientific research is wicked. Almost every job that involves a complex changing system with humans in it is wicked.

The Polgar sisters trained in the kindest environment any human can train in. Their success was real and the method was correct. The mistake was generalizing the method to fields where the underlying structure of the environment is completely different.

Epstein's research is what made the implication impossible to ignore.

He looked at the careers of elite athletes outside of chess and golf and found that the pattern was almost the inverse of what people assumed. The athletes who reached the very top of their sports were overwhelmingly people who had played multiple sports as children, specialized late, and often switched disciplines well into their teens. Roger Federer played squash, badminton, basketball, handball, tennis, table tennis, and soccer before tennis became his focus. The kids who specialized in tennis at age six and trained year-round for a decade mostly burned out, got injured, or topped out at lower levels of the sport.

The same pattern showed up everywhere he looked outside of kind environments. Inventors with the most patents had worked in multiple unrelated fields before their breakthrough work. Comic book creators with the longest careers had drawn for the most different genres before settling. Scientists who won Nobel Prizes were dramatically more likely than their peers to be serious amateur musicians, painters, sculptors, or writers.

The skill that mattered in wicked environments was not depth in one pattern. It was the ability to recognize when a pattern from one domain applied unexpectedly in another. That kind of thinking cannot be built by drilling a single subject. It can only be built by accumulating mental models from many subjects and learning to move between them.

The deeper finding is the one that should change how you think about your own career.

Specialists in wicked environments often get worse with experience, not better. Epstein cites studies of doctors, financial analysts, intelligence officers, and forecasters showing that years of experience in a narrow domain frequently produce more confident judgments without producing more accurate ones. The expert builds elaborate mental models that feel comprehensive and turn out to be increasingly disconnected from the actual structure of the problem. They stop noticing what does not fit their framework. They mistake fluency for understanding.

Generalists do better in wicked domains for a reason that sounds almost mystical until you understand the mechanism. They have less invested in any single mental model, so they abandon broken models faster. They are used to being a beginner, so they are not threatened by the discomfort of not knowing. They have seen enough different domains that they can usually find an analogy from one field that unlocks a problem in another. The technical name for this is analogical thinking, and the research on it is one of the most underrated bodies of work in cognitive science.

The single most useful sentence in the entire book is the one Epstein puts almost as a throwaway.

Match quality matters more than head start.

A person who tries six different fields in their twenties and finds the one that genuinely fits them will outperform a person who picked one field at fourteen and stuck to it on willpower alone. The lost years were not lost. They were the search process that produced the match. Every field they walked away from taught them something they later imported into the field they finally chose.

The reason this is so hard to accept is cultural, not empirical. We tell children to pick a path early. We reward the prodigy who knew at six. We treat the late bloomer as someone who failed to launch on time, when the data suggests they were running an entirely different and often more effective optimization process underneath.

The Polgar sisters were not wrong. The conclusion the world drew from them was.

If your environment is genuinely kind, specialize early and drill hard. If it is wicked, and almost every interesting human problem is, then the people who win are the ones who refused to specialize until they had seen enough to know what was actually worth specializing in.

You are not behind. You were running the right experiment all along.

[Bitcoin News @BitcoinNewsCom]

BLACKROCK ENDORSES BITCOIN AS A PORTFOLIO DIVERSIFIER

BlackRock has published new research positioning Bitcoin as a strategic portfolio diversifier, citing its relatively low correlation to major asset classes.

Key metrics since 2022:

• Bitcoin-to-equities correlation: 0.53
• Bitcoin-to-gold correlation: 0.10

BlackRock says Bitcoin may serve as a complementary alternative asset as stock-bond correlations rise.

As the world’s largest asset manager, BlackRock’s framing could influence financial advisor models, institutional allocations, and future ETF flows, further normalizing Bitcoin in mainstream portfolios.

[Alex & Books 📚 @AlexAndBooks_]

We went from 100,000 new eBooks a month to 300,000.

Basically 2 out of 3 new books are now AI slop.

[Authorities @author_ities]

@Rothmus Maybe all that money spent and recycling saved the planet 🌎

We did it!!! 😝

[Authorities @author_ities]

@amuse This sounds like the plot of megamind. What do you do when you win?

[Tim Urban @waitbutwhy]

Everyone in the world has to take a private vote by pressing a red or blue button. If more than 50% of people press the blue button, everyone survives. If less than 50% of people press the blue button, only people who pressed the red button survive. Which button would you press?

[Ron Sovereignty Swanson⚡️🗝️ @RonSwanonson]

I can’t wait for robotics to start producing so much value in the economy that the Fed uses it as an excuse to set the target at 3% instead

People think AI is going to produce abundance when we still use a money that gets printed from thin air

You’ll never see true abundance with fiat. You will with Bitcoin though

[Spill The Memes @SpillTheMemes]

😂

[Fight With Memes @FightWithMemes]

Thank you for asking.
They fill me with rage, actually.

[Authorities @author_ities]

@TFTC21 @ContingencyBTC this looks like another argument for using an exchange who will surely stay up to date with the rules of custody. If you aren’t following the technical side and something like this happens then its another gg “thank you for playing” lose your bitcoin