The first baby boomer was born in 1946 and is turning 80 next year; baby boomers hold $76 trillion in wealth in the United States, Gen X holds $37 trillion, the Silent generation holds $19 trillion, and millennials hold $13 trillion.

Analog training is disconnected mental training that older generations had to do because they lacked digital tools; it builds judgment by forcing sustained engagement with complex ideas without distraction.

Smart people love intricate complexities and use them to show they're smart, but the real competitive advantage comes from finding unrecognized simplicities, not from understanding complicated things.

Hyper-stimulants (caffeine, nicotine, social media, alcohol, recreational drugs, porn) make emotional self-regulation harder for smart people; Pascet had to quit caffeine in late 2016 after noticing he couldn't emotionally regulate when stocks moved against him while drinking coffee.

'High personal business overhead' is a killer for smart people: as they succeed, they jack up personal overhead (expensive homes, private schools, luxury goods), which amplifies almost every bias and creates blind spots while threats and opportunities pass by unnoticed.

Smart people can apply lessons from gambling (choosing competition, studying other smart players, asking for advice, recognizing when you're wrong, designing processes for improvement) directly to investing, which has an advantage over gambling: in investing you can call a smart person mid-decision for advice.

Smart people project too much of the past into the future and fail to recognize that the game has changed due to the internet, social media, narratives, new players (quant funds, ETFs, passive investing), making historical pattern analysis an unreliable guide to future outcomes.

You gain more by not being stupid than you do by being smart, because smart gets neutralized by other smart people, but stupid does not.

Only people with high IQs can create truly monumental disasters; dull stupid people can only do limited damage.

Warren Buffett argues that a single big mistake can wipe out a long stream of successes, and investment success requires someone genetically programmed to recognize and avoid serious risks, with temperament, independent thinking, emotional stability, and keen understanding of human and institutional behavior being vital—not just intelligence.

Willis Johnson's book 'From Junk to Gold: The Story of Copart' shows how a sophisticated operator took over junkyards (historically run by uneducated people) and brought advanced business techniques to consolidate the industry into one of the best businesses—an example of the 'prime pattern' of competing against structurally disadvantaged competitors.

Great investors (Warren Buffett, Charlie Munger, Tiger Cubs, Julian Robertson's protégés, etc.) have a deliberate process for consciously changing their mindsets over time to adapt; this is distinct from intelligence and is a learnable skill.

Being exposed to feedback on your ideas publicly through content sharing is valuable because it prevents intellectual arrogance; if your ideas are really good, people often hate them initially, and that negative reaction is feedback worth understanding.

Younger generations (millennials and Gen Z) that lack analog training, haven't read foundational investment books, and consume only digital snippets will lose a lot of money because they don't have the historical context and judgment to evaluate investment narratives.

The future of investment performance belongs to people who have both analog and digital capabilities—what Pascet calls 'both analog weapons and digital weapons.'

In backgammon, to make consistent money gambling, one should not compete against other great players but instead find rich backgammon players with big egos who don't play as well—the 'prime pattern' of exploiting competitively disadvantaged players.

Pascet spent 25 years observing smart people make investment mistakes, including seeing grown men cry over losses, families move to cheaper neighborhoods, and people with very high IQs lose everything.

Pascet has also seen average investors become billionaires, showing that the dynamic range between an average investor and a great investor reveals that IQ and intelligence is actually a small percentage of what drives success.

Pascet learned about probability and backgammon at 18, became obsessed with it, read all available books, hired the best player in Boston to teach him, and within 6 months was consistently winning against skilled players—demonstrating that structured learning and deliberate practice can close skill gaps.

The first neural networks were developed by intelligence services (DARPA, CIA, MOSAD) to play backgammon, particularly Gerald Tesauro's TD-Gammon at IBM in the 1980s, which is instructive for understanding AI because the mistakes people make with AI in backgammon are the same mistakes made in investing.