Reality Filtered On Beliefs, ATMs & Environment

We don’t see reality clearly. We all think we perceive reality as it is. And the truth is, that’s just not the case. The brain can’t see reality as it is; it predicts reality. Right now, your brain is absorbing 11 million bits of information—the light entering your eyes, the sound of my voice, the ambient temperature of the room.

That’s the equivalent of reading War and Peace every second, twice. However, your conscious attention can only process 50 bits. That’s one sentence per second. You are only consciously aware of 0.000045% of reality entering your brain.

How does the brain make sense of all this? It predicts reality. We all live in a simulation inside our own minds. Our reality is filtered based on our beliefs. Study after study shows how people can observe the exact same event and see something completely different.

If you’re on a diet, you see food as larger. If you’re afraid of heights, you see distances as further. Watch a football game: the ref makes a call, and fans of one team see it as absolutely correct, fans of the other team see it as ridiculous. Think about geopolitics: people committed to the belief that one side is right see every event through that lens. We do not see reality clearly. We do not see people clearly. We see others as we believe they are.

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People often cite that the invention of the ATM did not reduce bank teller employment, which actually increased steadily until the late 2000s. But they miss the second half of the story, which is that another technology did – the iPhone.

Labor substitution is about comparative advantage, not absolute advantage: the relevant question for labor impacts is not whether AI can do the tasks that humans can do, but rather whether the aggregate output of humans working with AI is inferior to what AI can produce alone. 

Given the vast number of frictions and bottlenecks that exist in any human domain—domains that are, after all, defined around human labor in all its warts and eccentricities, with workflows designed around humans in mind—we should expect to see a serious gap between the incredible power of the technology and its impacts on economic life.

That gap will probably close faster than previous gaps did: AI is not “like” electricity or the steam engine; an AI system is literally a machine that can think and do things itself. But the gap exists, and will exist even as the technology continues to amaze us with what it can now accomplish.

The true force of a technology is felt not with the substitution of tasks, but the invention of new paradigms. When a technology automates some of what a human does within an existing paradigm, even the vast majority of what a human does within it, it’s quite rare for it to actually get rid of the human, because the definition of the paradigm around human-shaped roles creates all sorts of bottlenecks and frictions that demand human involvement.

It’s only when we see the construction of entirely new paradigms that the full power of a technology can be realized. The ATM machine substituted tasks; but the iPhone made them irrelevant.

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Everyone is panicking about the death of reading. This narrative has a seductive simplicity. Screens are destroying civilization. Children can no longer think. We are witnessing the twilight of the literate mind. 

I spend my working life in a university library, watching how people actually engage with information. What I observe doesn’t match this narrative. Not because the problems aren’t real, but because the diagnosis is wrong.

Consider a simple observation. The same person who cannot get through a novel can watch a three-hour video essay on the decline of the Ottoman Empire. The same teenager who supposedly lacks attention span can maintain game focus for hours while parsing a complex narrative across multiple story lines, coordinating with teammates, adapting strategy in real time. That’s not inferior cognition. It’s different cognition. And the difference isn’t the screen. It’s the environment.

Peer-reviewed research demonstrates that social media platforms exploit variable reward schedules, the same psychological mechanisms that make gambling addictive. Users don’t know what they’ll find when they open an app; they might see hundreds of likes or nothing at all. This unpredictability acts as a powerful reinforcement signal (often discussed via dopamine ‘reward prediction error’ mechanisms), keeping people checking habitually. This isn’t because screens are inherently attention-destroying. It’s because the dominant platforms have been deliberately engineered to fragment attention in service of advertising revenue.

We have been here before. Not just once, but repeatedly, in a pattern so consistent it reveals something essential about how cultural elites respond to changes in how knowledge moves through society.

  • Ancient Greece – Socrates worried that writing itself would produce forgetfulness
  • 1533 – Thomas More denounced Protestant texts as deadly poisons threatening to infect readers.
  • 17th–18th Centuries – People considered literacy spread to the general population as corrupting
  • Late 18th/Early 19th Century – Novel-reading was treated as an existential threat
  • Mid-To-Late Victorian Era – Penny Dreadfuls were condemned as morally corrupting
  • 20th Century – Comic books, radio, and television

I used to believe, as I was taught, that literacy was primarily about decoding text. But watching how people actually learn and think has convinced me that literacy is about something deeper: the capacity to construct and navigate environments where understanding becomes possible.

Consider those who flourish with audio books but struggle with printed text. For years, educators told them they had learning disabilities, by which they meant: disabilities that prevented learning through the one true method we recognize. But they don’t have learning disabilities. The instruction has a disability – it can’t accommodate different neurological architectures. Give them the same text as audio, and suddenly the ‘disability’ vanishes.

The pattern I observe repeatedly: people who ‘can’t focus’ on traditional texts can maintain extraordinary concentration when working across modes. 

We haven’t become post-literate. We’ve become post-monomodal. Text hasn’t disappeared; it’s been joined by a symphony of other channels. Your brain now routinely performs feats that would have seemed impossible to your grandparents. You parse information simultaneously across text, image, sound and motion. You navigate conversations that jump between platforms and formats. You synthesize understanding from fragments scattered across a dozen different sources.

The real problem isn’t mode but habitat. We don’t struggle with video versus books. We struggle with feeds versus focus. One happens in an ecosystem designed for contemplation, the other in a casino designed for endless pull-to-refresh.

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A.I. should allow medical schools to rethink whether 4 years is still necessary. If students can focus more on clinical practice and less on memorizing the Krebs cycle and molecular bio, many programs could eliminate a year, reducing both costs and physician shortages.

Drexel joins roughly 20% of med schools with or are developing 3-year programs for certain specialties, like family and internal medicine and pediatrics. The accelerated path can make these historically hard-to-staff specialties more appealing to students.

The Zone Of Scarcity & Global Developments

Vikram Mansharamani published his global developments to watch from 2026 to 2031. These were a few that I found interesting:

  • Bio-fabrication technologies advance rapidly enabling human organs to be printed on demand. A new industry of “body mechanics” emerges and utilizes AI-driven prediction models to pre-emptively replace joints, bones, and organs before they fail. The expected lifespan of a child born in 2030 rises to 151 years.
  •  Advancements in quantum computing lead to a geopolitical crisis as all formerly- secure communications become instantaneously vulnerable. Each breakthrough leads to a bump in gold prices as investors fear the possibility of quantum-enabled theft of cryptocurrency. Cybersecurity re-emerges as an area of top concern for corporate boardrooms, nation states, and individuals.
  • Deepfake technologies become indistinguishable from real life, leading to mass human confusion and cognitive dissonance. Reality Defender emerges as the world’s hottest company as it secures elections by providing voters assurance of authentic messaging from candidates, thereby saving democracy from being hijacked by technologically-savvy foreign actors.
  •  A boom in next generation nuclear technologies combines with improved hydrocarbon extraction efficiency to keep energy prices contained in the face of exploding demand from technology applications and data centers. As copper emerges as the world’s most strategic resource, the Great Powers shift their focus from the Middle East to the Andean region.
  • The insatiable consumer appetite for protein continues indefinitely. Restaurants start disclosing the protein content of menu items, and Coke introduces a high-protein soda. Public health deteriorates as Americans’ religious focus on protein leads to elevated consumption of sugars and artificial sweeteners.
  • The global use of GLP-1 drugs skyrockets as an oral pill becomes readily available and is covered by most health insurance plans or government health offices. 
  • Artificial intelligence generates deflation, leading to structurally rising unemployment and elevated debt levels.

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We are drowning in information and data. So much so that we’re obese in the mind. The same way the human body was not prepared for a world of abundant food, and we thus transformed our cities into feeding zones full of fat people, the human mind is not prepared for a world with infinite content and information. Less than two decades into social media and the world is already full of morbidly obese minds that cannot think or focus, let alone produce anything novel anymore.

Even the best of us are mentally overweight! There are few, if any, original ideas anywhere. Everyone, everywhere is in a constant, social-media induced mimetic trance, mistaking repetition for thought while parroting the same words as those in our little echo chamber.

The only solution is to shut it all out. I’ve come to the realization that selective ignorance on the other hand; I’m talking actual willful, intentional ignorance, is not only blissful, but is a holy virtue.

It’s the kind of ignorance that is deliberately oblivious to what is going on in the world because none of it matters an iota in the grand scheme of one’s life. It’s the kind of noble, savage and ruthless ignorance that doesn’t even waste energy saying: “I don’t care.” It’s just blissfully above to the noise, present only with what matters, here and now.

As the pace of things accelerates and the never ending cycle of hysteria continues, it’s dawned on me that none of it really matters. Sure, individual events may matter to some people, but because of how we’re wired and how the internet and social media have connected us all, the number of events that can (a) happen and also (b) be brought to our attention is infinite.

Which in short means that everything matters all the time. But when everything matters all of the time, then the only reaction for the mind and body is to become numb. In other words, nothing means anything or matters any more. This is not a way to live.

Attention, at the end of the day, is all we really have. It’s finite. It’s super super super finite. We have so little time. We have only so much energy. It’s hard to focus at the best of times, and here we are, on a daily basis, being either:

  1. Distracted by things inside of a phone-size shopfront that most of us will either never have (picture-perfect women, hotels, cars, etc), or
  2. Inflamed by things on that same stupid screen which we have no relationship to or influence over, happening in other parts of the world, thousands of miles away.

The end result of all this stupidity (for 99.9999% of people) is just a LOSS of attention. I’m sure some of you have found inspiration or motivation from these screens (this can happen), but if we’re all being TRULY honest with ourselves here, we can admit the truth: we can be just as inspired by a walk on the beach or a conversation with a loved one too.

When I’m on my deathbed, I won’t remember wtf I saw on Twitter or Instagram from all those endless hours of looking at the screen. But I will remember the time I spent with the people who I truly loved. To find a solution, one must first understand the problem, and the problem is twofold:

  1. Nobody is entirely immune to the siren call of dopamine. These platforms hack your biology in such a way that they hook you. Thus you are not fighting the platform, but your own biology – and this consumes energy. Energy that could be much better spent elsewhere.
  2. Our cups are already full. Those of use who are strong learners have already had our fill, especially if you’ve been online for the last 5 – 10 years. We’re well past the point of diminishing returns. We have all the information we could possibly need to live and lead meaningful lives. Stuffing our minds with more stuff won’t improve anything, and at this point is just a distraction from living in the real world and implementing the things we’ve already learned or know.

The beautiful thing about value is that it always migrates to the zone of greatest scarcity. As a zone attracts more attention (and thus value), it begins to lose scarcity, until it gets saturated, and then one day, the value migrates away to a zone where scarcity prevails. People are starting to realize that being online is quickly becoming uncouth and that they need to run away. But where?

The answer: offline. 

Chatfishing & Poorly Defined Problems

Why Aren’t Smart People Happier?

A good name for problems on tests that determine someone’s level of intelligence is “well-defined.” Well-defined problems can be very difficult, but they aren’t mystical. You can write down instructions for solving them. And you can put them on a test. In fact, standardized tests items must be well-defined problems, because they require indisputable answers. Matching a word to its synonym, finding the area of a trapezoid, putting pictures in the correct order—all common tasks on IQ tests—are well-defined problems.

People differ in their ability to solve well-defined problems, they’re not the only kind of problems. “Why can’t I find someone to spend my life with?” “Should I be a dentist or a dancer?” and “How do I get my child to stop crying?” are all important but “poorly defined” problems. Getting better at rotating shapes or remembering state capitals is not going to help you solve them.

One way to spot people who are good at solving poorly defined problems is to look for people who feel good about their lives; “how do I live a life I like” is a humdinger of a poorly defined problem. The rules aren’t stable: what makes you happy may make me miserable. The boundaries aren’t clear: literally anything I do could make me more happy or less happy. The problems are not repeatable: what made me happy when I was 21 may not make me happy when I’m 31.

This is why the people who score well on intelligence tests and win lots of chess games are no happier than the people who flunk the tests and lose at chess: well-defined and poorly defined problems require completely different problem-solving skills. Nobody agrees on the rules, the pieces do whatever they want, and the board covers the whole globe, as well as the inside of your head and possibly several metaphysical planes as well.

Over the last generation, we have solved tons of well-defined problems. We eradicated smallpox and polio. We landed on the moon. We built better cars, refrigerators, and televisions. We even got ~15 IQ points smarter. How much did our happiness improve? None.

We haven’t yet defined the problem of “living a happy life”. We know that if you’re starving, lonely, or in pain, you’ll probably get happier if you get food, friends, and relief. After that, the returns diminish very quickly. You could read all the positive psychology you want, take the online version of The Science of Wellbeing, read posts on hacking the hedonic treadmill, meditate, exercise, and keep a gratitude journal—and after all that, maybe you’ll be a smidge happier. Whatever else you think will put a big, permanent smile on your face, you’re probably wrong.

We fawn over people who are good at solving well-defined problems. They get to be called “professor” and “doctor.” We pay them lots of money to teach us stuff. They get to join exclusive clubs like Mensa and the Prometheus Society. 

People who are good at solving poorly defined problems don’t get the same kind of kudos. They don’t get any special titles or clubs. There is no test they can take that will spit out a big, honking number that will make everybody respect them.

And that’s a shame. My grandma does not know how to use the “input” button on her TV’s remote control, but she does know how to raise a family full of good people who love each other, how to carry on through a tragedy, and how to make the perfect pumpkin pie.

If you don’t value the ability to solve poorly defined problems, you’ll never get more of it. You won’t seek out people who have that ability and try to learn from them, nor will you listen to them when they have something important to say. You’ll spend your whole life trying to solve problems with cleverness when what you really need is wisdom. And you’ll wonder why it never really seems to work. All of your optimizing, your straining to achieve and advance, your ruthless crusade to eliminate all of the well-defined problems from your life—it doesn’t actually seem make your life any better.

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‘I realized I’d been ChatGPT-ed into bed’: how ‘Chatfishing’ made finding love on dating apps even weirder.

Standing outside the pub, 36-year-old business owner Rachel took a final tug on her vape and steeled herself to meet the man she’d spent the last three weeks opening up to. They’d matched on the dating app Hinge and built a rapport that quickly became something deeper. “From the beginning he was asking very open-ended questions, and that felt refreshing,” says Rachel.

One early message from her match read: “I’ve been reading a bit about attachment styles lately, it’s helped me to understand myself better – and the type of partner I should be looking for. Have you ever looked at yours? Do you know your attachment style?” “It was like he was genuinely trying to get to know me on a deeper level. The questions felt a lot more thoughtful than the usual, ‘How’s your day going?’” she says.

Soon, Rachel and her match were speaking daily, their conversations running the gamut from the ridiculous (favourite memes, ketchup v mayonnaise) to the sublime (expectations in love, childhood traumas). Often they’d have late-night exchanges that left her staring at her phone long after she should have been asleep. “They were like things that you read in self-help books – really personal conversations about who we are and what we want for our lives,” she says.

Which is why the man who greeted her inside the pub – polite, pleasant but oddly flat – felt like a stranger. Gone was the quickfire wit and playful rhythm she’d come to expect from their exchanges. Over pints he stumbled through small talk, checked his phone a little too often, and seemed to wilt under the pressure of her questions. “I felt like I was sitting opposite someone I’d never even spoken to,” she says. “I tried to have the same sort of conversation as we’d been having online, but it was like, ‘Knock, knock, is anyone home?’ – like he knew basically nothing about me. That’s when I suspected he’d been using AI.”

Rachel gave her date the benefit of the doubt. “I thought maybe he was nervous,” she says. But she’d been “Chatfished” before, so when the gap between his real and digital selves failed to close on their second date, she called it off. “I’d already been ChatGPT-ed into bed at least once. I didn’t want it to happen again.”

In a landscape where text-based communication plays an outsized role in the search for love, it’s perhaps understandable that some of us reach for AI’s helping hand – not everyone gives good text. Some Chatfishers, though, go to greater extremes, outsourcing entire conversations to ChatGPT, leaving their match in a dystopian hall of mirrors: believing they’re building a genuine connection with another human being when in reality they’re opening up to an algorithm trained to reflect their desires back to them.

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Youtube is eating everything:

Schopenhauer, Colleges & Pickleball

Schopenhauer believed that all of human experience runs along a pendulum that swings from two poles: one of desire, and the other of satisfaction. We strive when we have desire, so the only way to alleviate this is to experience the pleasure that comes with satisfaction. But once you’re satisfied, boredom ensues, and desire inevitably arises yet again. Hence the pendulum.

The pace in which the pendulum swings between desire and satisfaction is what matters most. If it swings rapidly between the two, you get happiness. If it swings slowly between them, you get suffering.

To Schopenhauer, one could only be happy if desire is quickly offset by satisfaction, and this satisfaction could then be quickly offset by another desire. If it’s in our nature to restlessly strive for something, the only way to be happy is to feed that nature what it wants. Suppressing the existence of a desire only prolongs the suffering, which is why he didn’t believe that an ascetic life was the answer.

I think this does a good job explaining the phenomenon of busyness, and its existential utility for people. Ultimately, being busy is you continually swinging between desire and satisfaction. Anytime you create an item on a To Do list and proceed to check it off, that’s you making one round on this continuum. Multiply this by however many times you do it over the course of a week, and you get the feeling of busyness.

 If your mind always has something to check off, then there’s no room to ask yourself if you’re deriving meaning or purpose in what you’re doing. You just move from one cycle of desire / satisfaction to the next, and that in itself is where you dedicate your attention to.

This is where Schopenhauer’s take breaks down. Simply going from one pole to the next in a rapid manner is not happiness. Oftentimes, it’s just distraction. And when the pace of the pendulum slows in a manner where your desire takes a long time to satisfy, then you’ll see through the illusion that your busyness has created. Anytime there’s a lull or silence in your day-to-day life, this void may be filled with the angst that what you’re doing isn’t the answer, and that’s when an existential crisis takes hold.

This is why true happiness cannot be contingent upon any notion of satisfaction. Because to be satisfied is to imply an endpoint. A goal. And as the hedonic treadmill illustrates, once there is a goal, the logical conclusion is to create another chase to distract you. This distraction may keep you amused and busy, but once you’re faced with silence, you will be afraid of what you may feel.

The answer here is that happiness cannot be pursued, nor can it ever be achieved. Because the moment you’re aware that you’re happy, then paradoxically, you no longer are because you’ve called it out. Once you name a positive feeling, you become attached to it, and you long to feel it again.

The moment you pursue happiness, it is nullified. Paradoxically, understanding this is the only way one can truly be happy.

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America is about to tumble off the edge of a massive demographic cliff. The timing is no coincidence. The US birth rate peaked in 2007, with just over 4.3 million babies born that year. That number has dropped almost every year since, reaching a 30-year low of 3.8 million births in 2017. Last year, the rate was down to 3.6 million.

Now, those 2007 babies are turning 18 (ugh, I know). As they prepare to start college and enter the workforce, their transition to adulthood signals a new reality for universities, employers, and the whole of America’s economy. Every year from here on out — at least for the foreseeable future — colleges will face a smaller and smaller pool of prospective students.

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To give you some context for pickleball’s pre-pandemic popularity, think about badminton. And now think about something half as popular as badminton. That was pickleball in 2019. Total pickleball players in the U.S. were outnumbered by participants in archery, bow hunting, fly fishing, indoor climbing, snorkeling, and sledding. Now it’s more popular than all of those pastimes … and America’s pastime. Yes, more Americans played pickleball last year than baseball.

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I’ve taught the same course to a class of undergraduate, M.B.A., medical and nursing students every year for over a decade. While I didn’t change my lectures or teaching style, somehow the students’ evaluations of last year’s class were better than ever before.

What changed? I banned all cellphones and computer-based note taking in the classroom.

To help sell this policy, I presented in the first lecture of the course a study showing that students who were required to take class notes by hand retained significantly more information than students who used computers. The reason is that with computers, students can type as fast as I speak and strive for verbatim transcripts, but there is almost no mental processing of the class’s content.

Handwritten notes require simultaneous mental processing to determine the important points that need recording. This processing encodes the material in the brain differently and facilitates longer-term retention.

Repeated studies show students perform worst on tests when phones are on desks, next worse when they’re placed in bags or pockets, and best when they’re stored in another room. The presence of smartphones also undermines the quality of in-person social interactions.

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A recently published paper looked at twin studies to see if heavy social media users have innate tendencies toward lower social well-being. After looking at info on the amount of use, the number of posts, the number of social media accounts, etc., they found only a modest correlation between social media use and well-being (including anxious-depressive symptoms).

What they did find, which many studies have found in the past, is that those symptoms correlated heavily to genetic influences.

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Today, I’m going after a sacred modern virtue. Tell me if you’ve heard this one before: “Freedom is the highest form of wealth.” After 2 years of freedom, I’d like to disagree. I don’t have issue with freedom as a form of wealth. Or that it’s a better form of wealth than money (it is). I only take issue with the “highest” or “greatest” part of this argument.

I now believe that meaning is the highest form of wealth. The ability to continually have and make meaning, every day. To feel a deep sense of fulfillment and purpose in our actions; emphasizing what we do more than who we are. The good news is you don’t need money for meaning (though it can help). There’s plenty who never find freedom, but still find purpose. So wait, does that make them free? And having freedom without meaning is its own kind of prison.

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Howard Marks’ newsletter this month provides an in depth analysis that lays out where investment value comes from and how they should be assessed. The TDLR jumping to his conclusion at the end on where we are with U.S. stocks today:

“Fundamentals appear to me to be less good overall than they were seven months ago, but at the same time, asset prices are high relative to earnings, higher than they were at the end of 2024, and at high valuations relative to history.”

Instead of DEFCONs like the Pentagon uses for war scenarios, he laid out levels of INVESTCONs investors can move through to protect investments in the face of above average market valuations and optimistic investor behavior:

6. Stop buying
5. Reduce aggressive holdings and increase defensive holdings
4. Sell off the remaining aggressive holdings
3. Trim defensive holdings as well
2. Eliminate all holdings
1. Go short

From Marks: “In my view, it’s essentially impossible to reasonably reach the degree of certainty needed to implement INVESTCON 3, 2, or 1. Because “overvaluation” is never synonymous with “sure to go down soon,” it’s rarely wise to go to those extremes. I know I never have. But I have no problem thinking right now it’s time for INVESTCON 5.