ANGUS FLETCHER: Our Uniquely Human Contribution

27 May 2026 · 56 min · 29 chapters

Ask about this episode

Ask anything about it. ChatGPT or Claude reads this page and answers with the times it was said.

Connect VO and ask about every podcast you hear, including the moments you saved. Add to ChatGPT · Add to Claude

In short

Human intelligence as “primal” narrative-driven thinking that thrives in uncertainty and innovation, contrasted with AI’s optimization/pattern-matching. The episode argues that modern schooling, workplaces, and media train people to think in labels and categories, suppressing intuition, imagination, and common sense.

Guest backgrounds

Angus Fletcher is professor of “story science” at Ohio State University, leading Project Narrative and directing the Fisher College of Business Leadership Initiative. He has a neuroscience degree (Michigan), a PhD (Yale), postdoc training (Stanford), and taught at Stanford, USC, and Yale. Author of Primal Intelligence (2023). His lab received a U.S. Army public Service Commendation Medal for Groundbreaking Research with Army Special Ops. He has consulted for Disney, Sony, the BBC, Amazon, and PBS; designed next-gen AI systems in Silicon Valley; runs the Operation Human newsletter.

Key claims

Humans innovate by spotting anomalies/exceptions and making the future; AI excels at optimizing transparent/stable environments. Education and efficiency culture crush entrepreneurship and intuition. Optimism is remembering past breakthroughs and acting again, not predicting doom.

Notable examples

U.S. Army Special Operations field trial of his brain theory; art-museum exercise improving failing salespeople (60% improved after two months); military creativity research (divergent/convergent thinking tied to generative AI); special-ops marriage counseling (divorce rate cited as over 90% in units he works with).

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

Introduction of Angus Fletcher

0:45 to 2:52

Discussion about Angus Fletcher's background and expertise in narrative science.

“And you're listening to The Double Wind Show.”

The U.S. Army's Interest in Primal Intelligence

2:52 to 5:26

Angus shares how his theories on the brain gained interest from the U.S. Army.

“The question at the heart of this conversation, how do you reclaim an ancient narrative-driven intelligence that modern schools, workplaces, and screens have systematically shut down?”

Humans vs. AI: The Unique Contributions

5:26 to 9:05

Angus discusses the differences between human intelligence and AI capabilities.

“And then as a result of that, my lab has gotten a couple of medals from the U.S.”

The Tyranny of Labels and Standardization

9:05 to 11:15

Exploration of how labels impact human perception and societal structures.

“I have another company that's an AI education company.”

Innovation and Education Systems

11:15 to 12:39

Discussion on how traditional education may suppress innovation.

“And realizing that being human again means cherishing the way that people are not like the labels I put on.”

Challenges in Robotics and AI

12:39 to 13:57

Angus shares insights on the complexities of robotics in real-world applications.

“So another thing I've noticed, too, in the AI world is that AI is great when you're just working with you and your computer.”

The Human Responsibility for Problem-Solving

14:02 to 15:06

Humans must take responsibility for solving the world's problems rather than relying on machines.

“I think unfortunately, not only are we safe for a few more years, but we're going to have to accept that the problems that exist on this planet are going to have to be fixed by us.”

Embracing the Unautomatable in Business

15:06 to 16:02

Executives should focus on uniquely human skills that cannot be automated to enhance their value.

“And the more that you start to focus on the things that can't be automated, the more you're going to start thinking like an entrepreneur.”

Innovation in the U.S. Military

16:02 to 18:08

The military fosters innovation despite its structured nature, adapting quickly to new challenges.

“You said something a few minutes ago that caused me to do a double take.”

The Army's Role in Pioneering Technology

18:08 to 18:50

The U.S. Army has historically contributed to technological innovations, including AI.

“But simple example, we were just talking about AI, who basically invented the computer.”
Show all 29 chapters

Understanding AI Creativity vs Human Creativity

18:50 to 19:58

AI generates creativity through randomness, while humans create through structured storytelling.

“When an AI is looking creative, what is that really?”

The Essence of Human Intuition

19:58 to 22:20

Human intuition is about recognizing anomalies rather than matching patterns, contrasting with AI.

“randomly, then musicians would go into the studio and they would just produce thousands of different kinds of music.”

The Importance of Optimism in Innovation

22:20 to 24:24

Optimism stems from past achievements and the belief in human ingenuity to overcome challenges.

“It's the human brain's power to see something that does not fit a pattern.”

Confronting Catastrophizing in Society

24:24 to 25:57

Understanding pessimism and its roots can lead to a more hopeful perspective on future challenges.

“Therefore, things are bad now, they're going to make more bad things, and then everything's going to be bad.”

Understanding and Trusting Your Intuition

25:57 to 28:03

High intuition allows for quick and effective decision-making by combining self-awareness and world insight.

“When you despair, you've already told yourself the end of the story, and so you've given up.”

The Role of Intuition in Decision Making

28:03 to 29:12

Explore how intuition affects our decision-making process and personal clarity.

“to make a decision is we identify the most significant piece of information.”

Reawakening Childlike Intuition

29:12 to 30:05

Learn how to reconnect with your inner child's sense of wonder and intuition.

“So that is one of the key things is to get yourself out of school.”

Embracing Uniqueness and 'Dumb Pride'

30:05 to 31:32

Discover the importance of embracing one's uniqueness for personal growth.

“you're probably on a packaged trip and you need to really travel.”

Education's Shift Towards Individuality

31:32 to 32:38

Discuss the need for educational systems to encourage individual thought.

“Your unique contribution is your currency in the future.”

Using Art to Enhance Intuition

32:38 to 33:44

Understand how art can help individuals rediscover their intuition.

“But I appreciate your confidence in us, and I hope that we can live up to that here in the university sector.”

The Role of Curiosity in Sales

33:44 to 35:06

Learn how curiosity can improve sales techniques and personal connections.

“but art, music, all these activities start to reawaken your brain sense of what is special.”

The Pitfalls of Over-Reliance on Technology

35:06 to 36:36

Explore how technology affects our decision-making and common sense.

“But it feels like it's very formulaic, very deterministic, and it just sort of happens based on the range of options.”

The Hedonic Treadmill and Productivity

36:36 to 37:32

Discover how the pursuit of productivity can lead to diminishing returns.

“Because I'm a neuroscientist, I have to be honest, the left right brain thing is total bunk.”

The Negative Impact of Analytics on Happiness

37:32 to 39:49

Learn how over-analysis can lead to anxiety and decrease happiness.

“Your brain actually doesn't want you to take pleasure in automated activities because your brain wants you to automate something and then grow.”

Self-Reliance in a Tech-Driven World

39:49 to 41:38

Discuss the benefits of self-reliance and minimizing technological dependence.

“This is the number one thing I hear all the time from employers.”

Insights from Marriage Counseling in Special Forces

41:38 to 42:00

Explore the challenges and insights of counseling military couples.

“I mean, go camping for once, you know, the first couple of nights like, oh, this is awful.”

Marriage Counseling for Special Forces Couples

42:00 to 45:12

Learn about the unique challenges and solutions in marriage counseling for military couples.

“The half of the genetics that we share is clearly evident.”

Key Tips for Strengthening Relationships

45:12 to 49:40

Discover three essential strategies to improve communication and connection in marriages.

“And I was like, I just told him to do what you told me to do.”

Curiosity and Growth in Long-term Relationships

49:40 to 50:48

Explore the importance of curiosity and personal growth in sustaining a long-term relationship.

“This really resonates with my own experience.”
Hear the part that matters, and keep it.Open this episode in VO. Double tap your headphones to save a moment as you listen.
Get VO free

Transcript

Automatic transcript. May contain errors.

0:00Michael:Hey everybody, Megan Hyatt Miller here. Hey, the Double Win Show is taking the summer off. We're going to be back in early September with some great brand new interviews that you're not going to want to miss. But listen, over the next few months, we're going to take some time to share our very best episodes from the last few years. And my guess is you probably haven't listened to all these. And so you'll want to take some time to use the summer to catch up on them. In the meantime, enjoy this last brand new episode before we go on hiatus for the summer. Computers can take over any situation that can be optimized, which is pretty much any system involving machines, transparency, and a lot of data.

0:35Any situation that involves things that are special, distinct, unique, any situation that involves change or the need for innovation, humans are going to win that every day forever. Hi, I'm Michael Hyatt.

0:47Michael:And I'm Megan Hyatt Miller. And you're listening to The Double Wind Show. And today we are so excited to share our conversation with you with Angus Fletcher. Angus is the professor of story science, what a cool area of study, at Ohio State University where he leads project narrative and directs the Fisher College of Business Leadership Initiative. Basically, translation, this is one smart cookie. Yes. He is so intelligent, but so engaging and so practical. You guys are going to love this conversation. He has a degree in neuroscience from the University of Michigan, a PhD from Yale, and he completed his postdoc training at Stanford, and he has previously taught at Stanford, USC, and Yale.

1:28Michael:He's the author of a new book, which we highly recommend that you get, called Primal Intelligence. You are smarter than you know. This is a very timely book, as you will see in our conversation. It helps to differentiate, I think, what humans can do differently than AI in terms of thinking, as well as many other books. He also, in 2023, the U.S. Army awarded his lab a public Service Commendation Medal for Groundbreaking Research with Army Special Ops in Primal Intelligence. And he goes on to talk about how he's done marriage counseling with special ops. I mean, it's just the craziest thing. Like, he's been everywhere.

2:05Michael:I'm like, you have lived five lives, my friend. He's also consulted with Disney, Sony, the BBC, Amazon, and PBS, and has designed next gen AI systems in Silicon Valley. He was born in England, but he grew up in America, and he now lives in Ohio. and he runs Operation Human, a weekly newsletter on growing human intelligence in the age of AI. Which you need to subscribe to as well. Okay, here's the big idea. And we just started doing this, but I think this is a really good way to sort of set the stage. We live in a world that has defined intelligence as logic and then built an entire civilization around humans, training them to think like computers.

2:45But what if that training has suppressed the very powers that make us smarter than any machine? The question at the heart of this conversation, how do you reclaim an ancient narrative-driven intelligence that modern schools, workplaces, and screens have systematically shut down? And what happens to your leadership, your relationships, and your life when you do?

3:12Michael:It's an important question. And it's what we explore here.

3:17Michael:Angus, welcome to the show. It's a huge pleasure to be here. We're so glad that you're here and we have so many things to talk about. The real challenge is going to be to get it done in any reasonable amount of time, because this is starting to feel like we're going to need a Joe Rogan-length podcast. I mean, this has become increasingly apparent over the last few weeks. I know. It's all we could do is podcast. We could just have a blast. If we were so curious. We have such interesting guests. That's our problem. Well, Angus, you open in primal intelligence with an army colonel arriving at your lab to investigate a rumor about a lost brain part.

3:48Michael:I mean, it sounds like the opening to a sci-fi novel. Apparently, Special Operations has zero tolerance for what they call magic happy. So what convinced them to give your theory a classified field trial? That's a great question. I'm still sometimes asking myself that myself. So the backstory is, is that I'm a neuroscientist who has a slightly different theory about how the brain works. I think our brains are smarter than computers. I think children are more creative than AI. And I think that one of the real powers of the human brain is that, unlike a computer, it doesn't need a lot of information.

4:20I think that it can handle volatility and uncertainty and all these kinds of things. And so this led me in my lab to develop this kind of maverick, rogue alternative to thinking about the brain. And for a long time, you know, I was basically just kind of locked away in my lab. That's what they do with a lot of professors. They just kind of lock us away so we can't do too much damage to the real world with our crazy ideas. And then I got this knock on my door from U.S. Army Special Operations. And they said to me, hey, Professor Fletcher, we know that pretty much everyone else thinks that you're nuts.

4:50And you might be nuts. You might be nuts. But some of the stuff you're saying kind of fits with some of the stuff that we're seeing and kind of some of the stuff you talk about, about how the human brain is able to find purpose in chaos and is able to arrive in these incredibly unstable, volatile environments and then make a plan and act and improve things. That kind of fits with our experience. And so we're wondering, you know, would you like to be released from your lab for a few weeks and come on down behind the veil and test some of your zany theories on our operators? And so that's what happened.

5:20I got the extreme honor of working with U.S. Army Special Operations, kind of test out my weird theories. And then in addition to that, I got to learn a ton from them. And then as a result of that, my lab has gotten a couple of medals from the U.S. Army for that research. And now I've been released back into the wild where I can come onto podcasts like yours and spread the Maverick.

5:38Michael:Angus, something you just said there, that the human brain, something to paraphrase, the human brain is smarter than AI. And I think one of the central questions that people are beginning to ask is what are humans for? You know, if AI is so smart, what are humans for? You know, are we just going to be working for the AI? What would your answer be to that? Like, why, what can humans do that AI can't do? Maybe that's a better way to ask that question. Well, the answer would be most things. I'll give you a couple of basic things. So first of all, let's just think about how the computer brain works.

6:13The computer's brain, its job is to take huge amounts of data and find patterns. And from those patterns, it establishes probabilities, and then it uses those probabilities to optimize. So computers are great in any situation where there's a ton of data. And what situations are there a ton of data? Well, when your environment is transparent and stable. Where's the environment transparent and stable? Well, inside a warehouse, inside a catalog of books. These are the areas that AI has sort of developed through Amazon. And now we're seeing through these LLMs. This is where it's developed. But when LLMs or other AI are released into the real world, there's not that stability.

6:56There's not that transparency. And the human brain, what it evolved to do was it evolved to be smart in murky, unstable environments. Our neuron goes back over 500 million years. Those are the environments that our brain evolved in. And so that's why when you see a child, they don't need a lot of information to be creative. A child can be much more creative than an AI can, and a child knows very little. And that's because the purpose of the human brain is to not optimize, but innovate. So anytime you need innovation, which is to say, anytime you need a leader, as opposed to a manager, AI can make great managers.

7:36And I know we have a lot of white collar workers out there that are nervous that AI is going to take their jobs. And it might, because AI can automate, AI can manage. But anytime you need something to innovate, also, anytime you need something to deal with the human, because what is a human? A human is special. every human is unique. Every human is different. Every human is distinct. An AI can only think in patterns. Whenever an AI sees a human, it sees a collection of labels. It sees a collection of other humans that it's mashing together. When a human sees another human, they can think that way if they're being rude.

8:14If they're being curious, if they're being a good human, if they're being a good manager, then they're listening to that person and saying, what's distinct about this person? What's special about this person? And I think we are putting contact with that every time we have children in our lives and we realize how different they are and we treasure their difference. We don't wish, oh, I wish my child was the same as every other child. We say, huh, that's pretty cool that my child is different in those ways. Same thing with our friends. We say, huh, that's pretty cool. And same thing when we're running a functioning company.

8:44We cherish and nurture what's different and unique about every individual. So computers can take over any situation that can be optimized, which is pretty much any system involving machines, transparency, and a lot of data. Any situation that involves things that are special, distinct, unique, any situation that involves change or the need for innovation, humans are going to win that every day forever.

9:03Michael:Love that. So I've studied AI quite a bit. I have another company that's an AI education company. And, you know, I think just a couple of comments. One, your comment about labels, I think, is exactly right. And I think that that's culturally reinforced in that we've taught humans to think like computers. And so in the media, it's very convenient to label people. And especially if we want to dismiss a group of people, we can slap a label on them and we don't have to think about them anymore. Convenient. So that's one issue. Have you noticed that same thing too? Completely. I mean, this is the tyranny of demographics.

9:43I mean, anytime you turn on the media, they're always saying, well, this group of people thinks this way. And there's whole media apparatuses that are built on essentially stereotyping groups of Americans. And the one thing I always like to say, I don't want to get too much on my soapbox here, but I got to say - Please do. I'm an immigrant. I was not born an American. I became an American. So I chose to become an American. And so I thought a lot about what it means to be an American. And at the bottom of being an American is valuing people's individuals, is cherishing that. and saying, I want to give other people the opportunity to be themselves.

10:15I want to give them that freedom. I don't want to think about everybody as fitting in kind of a category or a group. One of the things that's been most meaningful in my life recently is I've had the chance to work a lot with the US military. And the thing that they say in the US military is that what it means to be an American is to be willing to sacrifice yourself for someone else's freedom. In other words, I'm willing to sacrifice myself. What's different about you? Not the way that you fit into a category, not the way that you conform to my expectations. Yet, to your point, we've spent the last 100 years building a school system that's based in standardized tests.

10:49Standardized tests teach you to think in labels. They teach you to think in categories. It's the same thing in business. Business goes back, Harvard Business School, someone called Taylor, who I'm sure everyone in your audience is familiar with, who started Taylorism and the principles of scientific management. It's all about efficiency, productivity, and making everybody into a label. So yeah, I think what we need to do as humans now is we need to say, hey, AI is great because it can handle all the label stuff. It can handle all the efficiency. It's time for us to get back to being human again.

11:16And realizing that being human again means cherishing the way that people are not like the labels I put on. You know, I don't know if this is true or not, but it's a hypothesis. But it seems to me, anecdotally, that a lot of entrepreneurs I know didn't go to college. And yet they've created and built unbelievably successful companies. All you have to do is think of Bill Gates and Steve Jobs, and the list goes on, especially as you get into smaller businesses. But I wonder if the school system failed them because it didn't teach them innovation. It taught them basically schools were built to build factory workers.

11:55And nothing wrong with that, but it doesn't build innovators. That's right. What's the one thing you learn in school? You learn that there's an answer and the system has it. And what we know is that the more that a child believes that there's a right answer, the less likely she is to come up with a new answer. And so school, by its very method, crushes entrepreneurs. And almost only any entrepreneur will tell you, I didn't learn any of this in school. I survived school. I dropped out of school. I somehow avoided school. But we are not teaching innovation. And that's one of the reasons why I did start to work with US Army Special Operations is because they do have these schools for teaching innovation.

12:35It is possible there are schools out there that can teach innovation. But we in America have created a school system that is not interested in that at the moment. So another thing I've noticed, too, in the AI world is that AI is great when you're just working with you and your computer. And then all of a sudden, you know, now we've moved into robotics powered by AI. and now it's a much more complex task because robots that are moving through the physical world, it's much more complex, much less stable to your kind of point. And it takes enormous training. I don't know if robots will ever get there.

13:07It is amazing to see what's coming out of some of the major labs right now. But do you have any thoughts on robotics and the challenges of that? Robotics is hard to your point because it involves the real world, whereas all AI is doing is spinning out ideas. We all know that the world is full of ideas. But actually what makes the world work is not ideas, it's actions. And that's where robots are functioning. And robots, there's a lot of success in building robots, having humans tailor robots to specific environments. But it's still very challenging to get robots to do simple things, even like make a shoe, because the sort of materials are so different than getting a hand, a robot hand to hold those materials.

13:45It's much more challenging. So I think there's going to be a lot of innovation in robotics, but I think it's going to be driven by humans who engineer robots, as opposed to us sort of plopping an AI on top of an existing cyborg and then having it sort of figure out everything for itself. So the humans may be safe for a few more years. Is that what I hear you saying? I think unfortunately, not only are we safe for a few more years, but we're going to have to accept that the problems that exist on this planet are going to have to be fixed by us. And there's this kind of dream that somehow we're going to invent this machine that's going to solve all the problems, but we were given this planet, We've got to figure out how to fix it.

14:19You are so countercultural. I know. I love it.

14:22Michael:Okay. So if you're talking to somebody who's listening and they're, you know, they're an executive or they're maybe a leader in a nonprofit and they're concerned, you know, that the value of their work in the marketplace is up for grabs maybe in the next five years. What would you say? How do they need to think about the value that their person, that their brain brings to the table to position themselves optimally to still have value, maybe even be more valuable in the next five to 10 years than they were previously. So remember what AI does and remember what all machines do. They essentially automate.

14:58So you've got to ask yourself is, what am I doing that can't be automated? And that's where your edge is going to lie. And the more that you start to focus on the things that can't be automated, the more you're going to start thinking like an entrepreneur. You're going to start thinking, what are the new areas? What are the places for discovery? What are the places for growth? Not what are the places for optimization, but what are the places to experiment and try something new? What are the opportunities to listen and learn and do genuine research, find opportunities as opposed to maximize existing protocols?

15:36Those things are all natural and normal to humans. every child does them as part of her normal growth process. But what we know is that the more you succeed as an executive, the more you optimize those processes out because you're focused on efficiency. You're focused on the same thing that a machine can do. And as a result, you're actually making yourself more redundant in an AI world. So really, the key is go backwards in your developments and embrace more of your inner child. Okay.

16:04Michael:You said something a few minutes ago that caused me to do a double take. And I forced myself to wait a second to ask you about it because I didn't want to take us off course. Probably because I wouldn't shut up. Okay. And it was, you were talking about your work with the U.S. military, the army in particular, and you were talking about how they teach innovation. Now, I do not come from a military family. I don't have people in my life that are close to me who are in the military. So this is obviously my ignorance coming to light. When I think about the military, I think about systems and processes and regimented activities.

16:37Michael:Yeah, you know, like we don't want you innovating. We want you doing the thing that, you know, do it just like this, hospital corners and battle plans and whatever else. And so I was like, wait, what? The military is like a source of innovation? Like that is blowing my mind. So what did you mean by that? And tell us about how that can be true. So there are a lot of standard operating procedures in the military. I'm not gonna pretend otherwise. That's because the military score is pretty high on common sense. And the way that common sense works is if it ain't broke, don't fix it. So if something's worked in the past, keep doing it.

17:08But the military is also at the leading edge of change. So the way this is often explained to me is if the American problem has a people that they don't know how to solve, they give it to the government. And if the government doesn't know how to solve the problem, they give it to the military. And so all of a sudden, the military is charged with solving all of these problems for the first time, and they've got to figure them out. And so the military has developed this ability to use the existing answer off the shelf when it's still working, but then very rapidly shift into an innovation mindset.

17:39That's why the U.S. military is highly decentralized. So it's a myth that there's all these orders coming from the top. The way the U.S. military works is it actually pushes authority very aggressively down the chain. You get a lot of autonomy very early on in your career. By the time you're a young corporal or a sergeant or a lieutenant or a captain, you're being handed problems for the first time to solve. And if you don't believe me about that, because I know a lot of people are always very skeptical about this, and I was skeptical too, because I'm not from military background myself. I had to be convinced that the Army is very innovative.

18:11But simple example, we were just talking about AI, who basically invented the computer. The United States Army, 1943, ENIA. They funded him. And they also essentially invented what has become generative AI. They funded someone, his name is J.P. Guilford. They hired him into the Army in the 1940s during World War II to crack the secret of creativity. He came up with two protocols, divergent thinking, convergent thinking, which are the basis of ideation. He said you could program these into computers and you would have generative AI. And it took 50 years for computers to catch up. But when they did, they're essentially running these things that were invented by the U.S.

18:45Army in the middle of the 20th century. So the Army is always on the leading edge of the future.

18:50Michael:I had no idea. When an AI is looking creative, what is that really? And why is that different than human creativity? That is an incredible question. And that's great because AI creativity is essentially random. So they use this process that's called divergent thinking. And that's basically just a mathematical process of mix and matching between different sets. And so, for example, like a simple example of this, if you have like a set of colors and a set of animals, the computer will go back and forth between them and it'll be like, you know, blue penguin and, you know, orange dolphin. It'll just keep going like this.

19:22And it'll randomly come up with all these things. This is, by the way, called brainstorming. And after the process of random association, it'll then take a series of what it considers to be high probabilities out of that. So if you've ever done a brainstorming session where you come up with all these interesting ideas, and then you cross off the most interesting ideas because they're too hard, and then you're left with the ones that are more boring and more probable, that's what AI does. It randomly thinks, and then it constrains that randomness with a probability grid, conversion thinking. How do humans create?

19:55Not randomly. We don't think randomly. That's why if you create it randomly, then musicians would go into the studio and they would just produce thousands of different kinds of music. When you love a musician, Willie Nelson is always producing Willie Nelson. Lady Gaga is always producing Lady Gaga. They have their own style, and they're able to develop and refine that. There's a precision there. It's not random. The way that it works, if you go back, look at kids, what do kids do? They think in story. They role play. They role play. They imagine themselves. How does story work? Well, what's the basic structure for a story?

Read the full transcript

20:28You start out with an outlier, an exception. That exception is called the hero. They're different from everyone else in their world. What does the exception do? Do they give up or back down or compromise? No, they double down. They do more of what they were doing. That process of finding an exception and then doubling down on it, that's what computers can't do because they can't think in terms of exceptions. They can only think in terms of patterns, whereas we can find the outlier and then tell a story about it into the future, which is, again, something that computers can't do because they can only think in language, not in stories.

21:09You talk about in the book, quoting Kahneman, intuition is pattern recognition. You say it's the opposite. It detects breaks in patterns. Could you elaborate on that?

21:20Michael:Yeah, my head exploded when I read this. I was like, wait a second. Yeah. I have so many questions. So Daniel Kahneman, very famous, famous for thinking fast and slow. And the basis of that book is his theory of intuition, which is actually a theory of intuition he took from computer science. And the theory of intuition is that intuition is a pattern match. And the idea is that whenever you go, aha, or you have an intuition, it's because you're matching a pattern. Well, we know that this is wrong. How do we know that this is wrong? Well, first of all, we know this is wrong because computers have terrible intuition.

21:52They have terrible intuition. And they're much better at pattern matching than humans. You would think that if pattern matching was intuition, AI would have already intuited all the possibilities for the future. But it can't. It's actually trapped in the past. Children have very high intuition. That's why when you're a young person, you're able to see styles that emerge before your parents. So if you have younger kids, they're always seeing what's going to happen in the future much faster than you. They have these intuitions. It's not a pattern match. It's actually the opposite. it. It's the human brain's power to see something that does not fit a pattern.

22:24And so where computers are obsessed with finding correlations, humans are obsessed with finding anomalies, singularities. And that's how every great entrepreneur works. It's like, whoa. And then they see something and it's so obvious to them. They're like, oh my goodness, everybody else must have seen this already. Nobody else has seen it because you're not seeing a pattern. If you were seeing a pattern, everyone would be there already with you. And so that again is why so much of the power of the human brain is basically the opposite of the way the computers work. At the same time, the computers are trying to predict the future.

22:57That's essentially condiment's whole model of cognition. As you're taking all this data and you're using it to predict, predict, predict the future, humans don't predict the future, we make the future. The way that we make the future is we see a possibility that no one else has seen before, and we move faster to make that possibility happen. That is unpredictable because it relies on the ability to spot exceptions faster. Tell me if this relates or not. But one of the things I've noticed, and I'm 70 years old, so I've been around for a few decades. And one of the patterns I've seen is we've had a series of prognosticators prophesy doom.

23:34You know, it was like, you know, there's giant population explosion, there's a food crisis, there's the AIDS epidemic. And the list goes on and on. I myself wrote a book on Y2K and what a showstopper that was going to be. And none of that comes to pass. And it seems like the problem is the people that are making those prognostications are thinking like computers. All they have is the past. They see a trend. And they don't allow for the X factor, which is human innovation that saves the day. I mean, can we just stop this podcast now? That's like literally, if everyone could just think that one thought, we would be so much happier.

24:13And what you've just uncovered there is actually the secret to optimism, which is what we've lost in the modern world. So the modern world is afflicted with basically what we would call psychologically catastrophizing. Yes. Catastrophizing is when you see something bad and then you think to yourself, bad things come from bad things. Therefore, things are bad now, they're going to make more bad things, and then everything's going to be bad. And this is a well-known kind of pattern thing that computers get into. That's why they get into these deaths, I've heard. Whereas what is optimism? Optimism is often misunderstood as thinking, oh, the future is going to be great.

24:44It's going to be amazing. No, no, no, no. Optimism is realizing that in the past, you were able to achieve something that startled you, that surprised you, that amazed you. It's realizing that if you did it once, you could do it again. Are you definitely going to do it again? I don't know because we're going to have to work. We're going to have to access our human ingenuity. We're going to have to try. It's not going to be a machine process. Unlike a computer, or you can't just plug it in and trust that it's going to work, but it could happen. And that's really the kernel of optimism is realizing that we've done it once, we can do it again, but we've all got to pull together and we've got to activate our imagination, our trust, our curiosity, all these human powers and make it work.

25:26Wow. That's why I don't get so ruffled when I hear about all these things, whether it's climate change or whatever. I mean, it's not that I'm not taking those things seriously or think that they're not serious problems that need to be solved. But I'm just saying, we're going to figure it out. And I can't remember who talked about sort of this phenomenon of a slow-moving catastrophe like climate change. There's a lot of time to figure it out, I guess is what I'm saying. And so is it going to happen without human effort? Probably not. But at the same time, there's no reason for despair.

25:56Michael:Yeah. When you despair, it's over. When you despair, you've already told yourself the end of the story, and so you've given up. Yeah. Whereas what you've always got to realize is that you're still in control and you can still write the last chapter. Have you ever heard this saying, it all works out in the end. And if it hasn't worked out, it's not the end. I love that. That's great. That'd be my new favorite saying. I love that. That is great. Okay. I have a question for you about intuition. I have considered myself to be a person with high intuition since I was a kid. I can think back to being a young kid and I would have a sense about something and it would turn out to be right.

26:31Michael:Oftentimes, you know, my dad kind of kids me sometimes and he just says like, you get to clarity very fast. You know, like it's easy for me to get to clarity usually. Sometimes I really don't like the clarity that I get to because especially as a CEO, oftentimes that means a hard decision. You know, sometimes it's a personnel decision. Sometimes it's a financial decision. Sometimes it's a vision, you know, decision, something like that. Sometimes it's great, but sometimes it's really hard. I would describe what I experience as just a knowing, like there's a situation that comes up and I just quickly know like what I need to do.

27:11Michael:And I, it takes me a while to talk out why that is. Usually there's somebody I have to justify it to, you know, get aligned or whatever. And usually if it's a, if it's a hard decision, there's some kind of price tag attached to it that, that I then want to talk myself out of it. Right. You know, because I'd really like to not know what I know because the check literal or figurative that I have to write is going to be high. What's happening in that process? Like, is that intuition? Why do I know things quickly? Like, should I trust it? Like, what should I do with that? Well, if it's worked for you in the past, you should trust it now.

27:43Michael:Yeah. And so I can tell you what's happening there is that the way that a computer makes decisions and the way that people are taught to make decisions now is to gather all of the data and then make a list and then you put a pro column and then an against column and then you kind of weigh all the stuff and then you end up just totally confused. The way that humans evolve to make a decision is we identify the most significant piece of information. One piece of information. That's what we're looking for. We're looking for the most significant piece of information. And then the moment we identify that, the decision is made for us because we've spotted of it.

28:19People who have high intuition like you're talking about have a double kind of intuition. You have clearly some intuition about the world and the way the world is working, but you also clearly have very high intuition about yourself. And what I mean by that is you have clarity about what it is that you want and you have clarity about the direction that you're going in. And when you put together those two types of intuition, it makes for very fast and effective decision-making. And we find that people who are bad decision-makers are usually behind in one or the other. So they know themselves pretty quickly, but they can't read the world or they're pretty good at reading the world, but they actually don't know themselves.

28:53And so as a result, they're not able to kind of connect those two dots. When you connect two dots, you have a line. That's what an action is. And so it sounds to me like you're very good at both.

29:01Michael:So can people develop this? Like if people say intuition, I don't think I'm that intuitive. Is this like an innate talent or ability or is it a skill or both? So first of all, we've already, I think your dad has tipped us off to the fact you didn't spend a lot of time in school. So that is one of the key things is to get yourself out of school. If you've got low intuition, school is probably beating it out of you. And if you want to increase your intuition about the world, what you want to do is you want to go back to your child self because your child intuition is the highest because that's when you're noticing what's special about everything.

29:32A child can be fascinated by everything because a child can always see what's special about the world. And what a child has to develop is their sense of what's special about themselves. That's why children kind of drift through life because they don't know what's special about themselves yet, but they can see everything that's special about the world. How do you reawake that in yourself? Well, the simplest thing to do is to travel because when you travel, you're immediately immersed in a new world and everything comes back to you. That's why when you come back from a trip that's been a good trip, you see everything in your home life with fresh eyes because your intuition has been revived.

30:04If you're not getting that from travel, you're probably on a packaged trip and you need to really travel. You need to go somewhere that They put you a little bit out of your comfort zone, eat a little bit of different food. And if you can't afford to travel, have a conversation with someone who's different, who thinks differently than you, because that will have the effect of travel. That will have the effect of moving your culture. So that's how you develop intuition about the world. How do you develop intuition about yourself? You've got to start leaning into what is special and unique about yourself.

30:34You've got to have confidence in that. What we find is that when people go through their teenage years, they become increasingly self-conscious and they start to feel shame and anxiety about the things that make them different. But we find that people who have high levels, like you do, of intuition, they have something that we often call dumb pride. And dumb pride is when you do things that everyone else is like, that was the dumbest thing I've ever heard of. And you're like, I'm pretty proud of myself for doing it. What are you talking about? And you're like, yeah, I'm pretty proud. And you're like, and in fact, I do it again.

31:03I do it again. I'm going to double down on that. And dumb pride is your brain's way of saying that everyone else thinks it's stupid, but you don't because that's what's different about it. And so if you have low intuition about yourself, really starting to embrace and emphasize what's unique, special, different about yourself. If you can't see it in yourself, your friends probably can. They probably know that and they probably love that about you and they probably wish you did more of that, but you're silencing it because you're embarrassed.

31:28Michael:Well, and this kind of goes back to the whole, what can humans do that AI can't? I mean, I think the future is so much about clarity on what makes you you, you know, like what you uniquely bring to the world. Your unique contribution is your currency in the future. It's not going to be the thing that's replicatable, you know, because that's a commodity. What gets me excited is the thought that maybe our educational system is going to change. Yeah. Because the people that think like machines are not going to survive. They're going to be replaced by machines. Right. People that can think uniquely in uniquely human ways are the ones that will survive that.

32:04That is the transformation that we're trying to make. I mean, I've bizarrely been asked to run my university's leadership initiative at the business school. We have 9 ,500 undergraduates who are trying to help them rediscover their intuition and their imagination and their common sense and their emotions and all these kinds of things. That's definitely where education is trying to pivot, but it's really challenging because we don't have a great track record of encouraging people to be individuals. We have got a great track record of forcing them all to take the same tests and then ranking them based on how they do on these tests.

32:33And so that's one of the reasons why we're trying to learn a little bit from the U.S. Army and from special operations and some of these other communities that have developed these other ways of training. But I appreciate your confidence in us, and I hope that we can live up to that here in the university sector. I'm confident you can. Okay, I want to talk about a related issue. So you took a group of failing salespeople into a museum for a 10-minute exercise, and two months later, 60 % had dramatically improved. Is that related to what we've just been talking about? That's exactly related to what we've just been talking about.

33:07What we help those salespeople do is find their intuition. And we did that in a couple ways. The first way we did that is by putting them in art. So what art does is art is made by innovators, by original seers. Every artist sees something in the world that no one else has seen before. So you and I look at the sky. We just see the sky. A painter sees a new way to paint that sky. You and I think the word love, you know, we think, oh, the word love. A poet figures out a new way to make us feel that love again. And so the whole purpose of art is to rediscover what is special, what is exceptional, and things that seem familiar.

33:43And so if you have an artist you like, it could be a visual artist. It could be a painter. It could be a musician. but art, music, all these activities start to reawaken your brain sense of what is special. And that's why your brain usually feels both so alive when it's experiencing art or going to a concert, but also it feels so exhausted afterwards because it's been using all this brain power. And so that's what we did with those sales folk is we dragged them into a museum and we didn't say to them, hey, you need to understand this art. Instead said, hey, what's something that surprises you about this art?

34:16You don't have to explain it. There's no test here. We're not going to do what they do in school, which is to say that there's a right interpretation of this painting. We're just saying, we want you to walk through the gallery until you see something that blows your mind. It makes you go, wow, what's happening there? Then we just want you to dwell in that sense of curiosity and surprise and discovery, and then feel that reactivating in your brain. Then when you reactivate that in your brain, take that same power and apply it to every person you meet. Because by seeing every person you meet, like you saw that painting, you're going to treat that person like they're unique, like they're exceptional, like they're special.

34:48And then you're going to be able to make a special connection with them. And hey, that's how sales works. So instead of, I think the prior path for them and for a lot of salespeople, and I spent a lot of years in sales, is you basically go in, quickly assess, slap some labels on the person, and then pivot into any number of pitches that you're going to make. But it feels like it's very formulaic, very deterministic, and it just sort of happens based on the range of options. You don't go in open-minded with curiosity and just kind of into a mutual exploration of what may be possible in terms of their problem and your potential solution.

35:27That's right. Look, sales is based on trust and listening. And that's very hard in the modern world because everyone is so busy. And so as a salesperson, you feel like, I've got to get and I've got to work really quickly. Your job as a salesperson is actually to make that person you're talking to feel like time has stopped. Not to be really respectful of your time and move as quickly as possible. That's just reactivating all their productivity anxieties. Instead, you want to make them feel like, I want to spend a little more time in this conversation because I'm learning about myself. What really is effective sales?

36:00Effective sales is helping that person discover something about themselves and their company, not selling them. And in order to help them discover, you've got to be able to get inside a little bit the way that they're thinking and then detect what they haven't thought yet and then help them see that other thing. And then you don't need to make a sale in that exact moment because you've already built that person's trust that you can think like they think. They start to trust you. They come back to you. You build that relationship. And that's how you make the sale. And so all of these things are developed through relationships and relationships are developed by treating the other person as unique.

36:33Michael:Angus, how much of this is kind of our over-reliance on the left side of our brain and the underdeveloped right side of the brain? Does that factor into this at all? Because I'm a neuroscientist, I have to be honest, the left right brain thing is total bunk. However, it is true that there are ways that our brain thinks analytically and the ways that it thinks creatively. So that's totally true. So it's just a kind of a way of kind of explaining how the brain works. And yeah, absolutely. We've leaned far too much into optimization, efficiency, all these computer ways of thinking. And we've now developed these machines that can do it for us.

37:08So it's time to let that go. And the reality is, is that the more you think in terms of optimization and productivity, the more you get caught in something known as the hedonic treadmill. I don't know if you guys have talked about this a lot. But basically, you're always optimized. You're getting better and better and better. And you're getting less pleasure out of it. And so you're not actually getting anywhere. And so productivity is a trap. The reason that the hedonic treadmill exists is because once your brain has automated something, it wants you to move on from it. Your brain actually doesn't want you to take pleasure in automated activities because your brain wants you to automate something and then grow.

37:40Growth is what your brain takes perpetual pleasure from. Anytime you're engaged in a growth activity, which is why anytime you meet a new person, you're growing. The whole point of automation from your brain's perspective is to get rid of it and not provide any pleasure. There's a real opportunity, I think, ahead of us to get rid of some of these productivity hacks, optimization hacks, or at least stop making them the focus of so much of our lives, and instead get back into growth. You know, for years, the two of us and other of our family members wore an aura ring because we were able to discover different metrics about how our biology worked and to optimize it.

38:19And I think all of us got to the place where we said, we actually hate this. There, initially, it was fascinating. But the more we did it, the more it felt like -

38:30Michael:It was making us neurotic. It was making us neurotic, you know, over-metricizing everything. Right. And so we just did away with it. And I find that I'm happier - I've never slept better. And I've never slept better. Yeah. Well, you know, one of the few things that modern psychology has discovered is that neuroticism makes you unhappy. And so, and in general, so much of these tech things we put in our life just add to our level of anxiety. Everybody gets so anxious the moment they have to interact with technology, you know, especially if it involves any kind of function that involves your work.

39:01And we're just so much happier when we're dealing with people because we trust other people to fix it. You know, we're so relieved when the tech guy shows up to fix the tech, like, oh, thank goodness, you know. And so all of that, those aura rings, all the rest of it, they're kind of fun at first because you feel like you're learning something, you feel like you're growing, you feel like you're discovering. But then once you got there, you're like, okay, like, I don't want to then allow this to tell me what to do. Like, I don't want to all of a sudden be programmed by this thing on my finger to optimize my day because then why am I alive?

39:28Michael:Exactly. And it makes you feel less alive. You know, it's like you wake up and you think I had a pretty good night's sleep. And then you look at your sleep score and it's, you know, it's a 75 and you're like, Oh, I guess I had a terrible night. You know, your day spirals from there. It's, it's, it's awful. So yeah, forget that. That's also the way that we develop dependence on technology, even when it's nuts. So one of the things that I'm always talking about with employers about is how kids say have no common sense. This is the number one thing I hear all the time from employers. They have no common sense whatsoever.

39:56Why? Because they rely so much on technology to tell them what to do. They lose their own sense of, wait, this is totally nuts. You know this as a leader. Your job is to be the person in the room to be like, this doesn't make any sense at all. Everyone around you is like, oh, yeah, but the numbers say that it's the thing to do and everybody else is doing it and all the metrics. You're like, well, that may be the case, but it's nuts. To the point about you and your sleep score, obviously, the technology was wrong. You did have a great night to sleep. What's going on? But then you start to question yourself.

40:23You're like, oh my goodness, I must be wrong. And that's how these machines destroy our common sense and our just ability to function without them when we're really a lot smarter off on our own. Funny story. So I had an Oura ring and it was good, while it was good. And then I bought, because I listened to a podcast where a guy talked about it, I won't name the name, but about the Eight Sleep, which is basically this thing you put on your bed and it regulates your temperature and it can accommodate sort of your personal variations and all that. And it texts you in the morning, your sleep score.

40:56So now all of a sudden I'm getting one sleep score from Aura and one from Eight Sleep and they do not match. They're not even close. One's telling me I had a great night of sleep and I said, you know what?

41:08Michael:Get rid of all this stuff. Get rid of all this stuff because it doesn't even know what it doesn't know. If you want to make yourself instantly happier tomorrow, just take all that stuff and put it in a bag and go stick it in your garage somewhere. You'll wake up tomorrow. I can't wait. Great. Send us the email. Declutter your life. Less is more, but I mean, really, really, really. Yeah. Yeah. Become self-reliant. Nothing will make you happier in life than self-reliant. And that is true. And you can bank on that. And all of these technologies are just taking you away from that and making you think that you need them, which is another reason why it's great.

41:39I mean, go camping for once, you know, the first couple of nights like, oh, this is awful. I hate it, you know, and then you'll get back into with nature and you'll love it.

41:52Michael:You said something a minute ago about relationships. And before we started recording. I was really about to go there. Okay, great. The mind melt is complete. The half of the genetics that we share is clearly evident. You told us something very surprising, which is that you work with military couples and do marriage counseling. And I was like, I'm sorry. Special forces. Special forces, people in special forces. And I said, well, that makes sense because I'm sure, you know, they're under so much stress. And you told us the statistic of the divorce rate. And I want you to tell us that again for our listeners to hear.

42:28Michael:And then what have you learned about marriage from people that are so likely to fail? And what do you do to help them? Yeah, this is a great question. I was like five questions. The statistic is that in the units that I work with, the divorce rate is over 90%. And many of these couples have been through multiple divorces. So they might've been divorced two, three, four times. And it's very kind of you to say that it makes sense for me to work on them as a marriage counselor because my own wife was stunned when this happened. She was like, you don't know anything about our marriage. Like, why are other people asking you for marriage advice?

43:02Like, what's going on? And I myself, I mean, you know, I never wanted to be, I'm not a marriage counselor, by the way. Please don't anyone listening to this podcast call me up for marriage advice. But the reason that this happened is because I was working for so long with special operations. We built this real trust, this real bond between the two of us. And I didn't get this phone call one day from an operator who remained nameless. And the phone call basically goes something like, Angus. And then I'm like, Tom. And he's like, Angus, we're having a problem. A problem with our wives. Or maybe our wives are having a problem with us.

43:38It's unclear, but there's a problem here. And that was when he told me that there was this divorce rate. And I was like, oh, he's like, Angus, we need your help. And so I was like, all right, totally. I'll look up all the best marriage counselors for you. I'll get on this. And he's like, no, Angus, we don't want you to bring in a marriage counselor. We trust you. We want you to help us. And this goes back to this whole thing where you start working with these teams because they're very secretive. They're very classified. Once you build that trust in with them, they trust you for everything. So I'm pretty sure that a couple of years from now, I'm going to get a phone call from One of them being like, Angus, I need open heart surgery.

44:10I've got a can opener. You can come around my house. I know you can fix it. So next thing I know, I get taken to an undisclosed location. This large field. In the field are about 300 operators and their spouses. Tom comes up to me and he's like, Angus, all these people are about to get divorced. Unless you say something to them. Go say something to them. No pressure. And I'm like, what do I do? And so the only thing I could think to do was basically stall for time. And the way that I stall for time is I thought about the way that operators themselves develop relationships. And so I started basically giving these couples in the field all these basic tips that operators themselves use when they go out on missions to build trust and build bonds.

44:54And what I discovered is as I was feeding these tips out to these couples, they started talking. And then they kept talking. And then eventually I didn't need to do anything. And they were just talking and talking and talking and hanging out in this field talking. And Tom came up to me afterwards. He said, these are people who haven't had a conversation in more than 30 seconds in years. Wow. And now they're all talking. And then he was like, what did you do? And I was like, I just told him to do what you told me to do. When we were talking about marriage, we were talking about operations. And so I can give your audience if they want, like the three main tips that I make in special operations counseling.

45:28So the first is I tell them to shift your relationship to gratitude. What I mean by that is people now think that gratitude is about being thankful for good things. And that's totally fine. You can be thankful for good things. There's nothing wrong with that. But you'll discover that when you're thankful for good things, it doesn't really last that long. And that's because the purpose of gratitude in the human brain is actually to give thanks for hard things. That's actually why it evolved in the brain. And that's because your brain grows the most from hard things. all the wisdom, all the emotional strength you have, those come from moments in your life when you struggled, when you failed, when you experienced setbacks, maybe even tragedies.

46:04And so really what you want to do is you want to start being thankful for those hard times because you realize those were a source of growth. And the more you get inside that mentality, the more you start to realize that when things are going wrong in the moment in your marriage, that's a source of growth too. And you can start to activate gratitude for that. And that starts to shift your psychology. So that's the first thing, shift your relationship to gratitude. The second thing is start having real conversations. And what I mean by real conversations is that most couples, they're basically trying to tell their partner to do something like, go do this thing.

46:36I'm trying to give you some information. And most couples also feel like they know their partner totally. So there's nothing there for them to discover. So they're not interested in having a real conversation where we share things and we learn about each other. They're just interested in passing on their information as quickly as possible. And so what we teach the operators is to use a trick that we use to help with conversations, which is to ask the other person who, what, when, where, how, but never why. Because the moment you ask why, you service a judgment and the conversation is over. And what you notice is you start asking those other questions like, you know, who are you out with?

47:14What were you doing? What were you buying? And then your wife might say what she was buying. You might want to be like, why did you do that? But instead, you're like, what were you planning on using it for? What other things did you buy? What happens is, is you start servicing more information. And then that information starts to surprise you because it's not what you expected. And then you start to re-engage your curiosity. And the truth is, is that the moment you've made a judgment, your relationship is over. You've fallen out of love. Love is about mystery. It's about not being able to judge.

47:41It's about always feeling there's something else to discover. So we encourage them to have real conversations. And the simple trick there, if you don't want to do that whole thing is ask more what questions and less why questions. And the more you do that, you'll find yourself having real conversations. Then the final thing is we tell them, you got to have a plan. Your marriage has got to have a plan. And they say, okay, because in special operations, everything's got to have a plan. If something goes sideways, it's because it wasn't a plan. And then we say, well, to have a plan, what do you got to do?

48:09You got to have your priorities. Got to figure out what your priorities are, right? And they say, oh yeah, yeah, we've got to figure out our priorities. And so I say to them, okay, I want you and your wife to each sit down apart from each other. And I want each of you to write down your three top priorities in terms of what you want the other person to give you. What are the three critical things you need from that other person? What are the three things you absolutely need to get from this marriage or it's not going to work? And they say, oh, okay. And they go off and they write down the three priorities.

48:33And then I say to them, you know why I asked you to do that? And they kind of look at me and I say, because it's a trap. Can you have three top priorities? can you have two top priorities you can only have one top priority and the reason that your relationship is failing is because you're expecting your partner to do multiple things for you and those things all conflict your partner spending her time doing this right you know she's taking care of the kids or whatever and then you're angry at her because dinner isn't ready or you're angry at her because she's not romantic enough you know or she's focusing all this time on being romantic and being thoughtful then you're angry at her because she's not earning enough money you know what I mean?

49:05And it's like, each of you gets to pick one thing, one thing that the other person gives you. And then you can hold the other person accountable for that. But as long as they give you that thing, right, you keep investing in the relationship. And the more that the two of you are good at giving each other one thing, the more you can start to give each other two things and three things and four things, right? You don't have to be limited to one thing all the time. But if something isn't working, you've got to go back to basics. And basics is establishing your top priority and being clear with your partner about what is the one thing I need from you and what is the one thing I can give to you.

49:37That cycle will kickstart every relationship.

49:40Michael:Wow. This really resonates with my own experience. So in three months, I will have been married 48 years. Congratulations. Thank you. And I think if there's one thing that has been true in our relationship is your second point. We've just sort of been super curious about the other person. and both of us came to the conclusion that, you know what? We will never plummet the depths of who this person is. There will always be an element of mystery, which is kind of the foundation for attraction. You know, it's just like, what can I learn and explore? Well, especially if you're always growing and changing.

50:16Michael:Yes. It's not like a static thing. You know, it's like you're always becoming somebody, which means you're never going to run out of things to discover. True. That is beautiful because that's exactly right. The more that you grow, the more there is for your partner to discover. And the more you can encourage your partner to grow, the more you can discover in them. And that's what keeps your relationship going, is that sense that both of you are growing and both of you are discovering. And I think the tragedy of a lot of marriages is that people end up getting stuck, and then they end up getting stuck.

50:45They get caught in judgment. Yes. Well, listen, we've only scratched the surface.

50:50Michael:It's really true. This is probably the fastest hour we've had in some time. It is. But thank you, Angus. It's been great. If people want to engage with your work, if our listeners want to kind of explore more with you, where would you direct them? I mean, honestly, probably the best thing is just my book, Primal Intelligence. It became a national bestseller, so it's all over the place. And if you want to get closer to me, you can Google me. I'm just about the only Angus in Ohio, and my email is publicly listed. So I get a lot of emails every day from people looking me up. Fantastic. Well, thanks so much for being here.

51:21Michael:We've learned a ton, and can't wait to learn more from your work. Thank you. It's been an honor.

51:35Well, that conversation was different than I expected.

51:37Michael:Me too. I felt like it lasted five minutes long. I mean, I'm like, gosh, can we just spend the whole day with you? Well, I get nervous when we have professors. You do? I do because, you know, sometimes they can't quite relate or they're a little too cerebral. I mean, most of the time we kind of filter those out. Right. But I'm always a little bit nervous. You're like a little intimidated. But he was like the best of both possible worlds. I know. He was so enthusiastic. So enthusiastic and really crisp in his thinking. I love how contrarian he was in his thinking. You know, the question that is on my mind right now more than anything else is really, what can humans do that machines can't?

52:17Michael:Because I don't think we have a good answer to that question. You know, I think that's a, we know what machines are really good at, but I think a lot of people are asking, well, what is it that humans are going to be good at? If machines can do all this stuff better than us, then what's it going to be that we're good at? This may be an age differential, but I don't worry about it. I know I like, okay, we could end up in the Terminator scenario. I don't worry about that. I just think - Or we could end up being just like massive unemployment and all that. But I keep thinking that's going to be only because we lay down the mantle of humanity individually and decide that we're going to give in to the machines.

52:53Michael:Yeah, I don't think I worry about it like in some apocalyptic way. I just think of it more as like an existential question that is very timely, you know, that people need to have a sense of meaning and purpose. And all of a sudden that's potentially threatened. You know, like there's like another player on the field, so to speak, that I think if you listen to some people, it could sound like you've heard the terrible phrase of, you know, we're just going to be like a meat sack, basically, which I just, I hate that language. You know, like we're basically we're just kind of useless. And, you know, the machines will just sort of pander to us.

53:29Michael:And I don't think that's true. I mean, our, you know, basis of faith, our kind of philosophical foundations. I don't believe that's true, but I but it matters to me to have a really clean answer to that question ultimately and to be able to help our community of listeners and so forth to answer that question for themselves. Because I think it's an important question always, but it's especially important now. And I think he did a good job of helping to bring some clarity to that. Well, I just want to commend you. You know, we had our all team meeting last week and you presented some work that you and Joel and Marissa had put together on sort of thinking through our brand and sort of tweaking our mission for this time that we're in.

54:10Michael:Yep. And I mean, I was so blown away by that because I do think it takes into account all these questions about the role of humanity. Right. What's uniquely mine to do? Oh, it's just so rich. And we're not prepared to reveal it yet. It will be coming. It's coming. And I found that it's already leaking out in different things that I'm doing. Yeah, I think so too. So I appreciated that perspective that he had, that on the one hand, there's so many great things that AI can do for us. And I think you and I are both enthusiastic about a lot of those things and are using them on the daily. and there are also things that AI is really stupid at and really not equipped to do.

54:50Michael:And I love this idea of intuition being one of the things that AI is not good at and frankly decision-making that doesn't follow patterns and doesn't have the benefit of data to draw on. Because I think about my own life and I think about kind of what I bring to the table and I really think that that's one of the things that I bring is being able to get to clarity about something where, you know, you don't have the benefit of pattern recognition and, you know, big data sets and all that. You've just, you've got to make a call and you can't always explain why, but you need to, and it needs to be a good call.

55:27Michael:And I think that's where intuition comes in. Well, we hope you guys enjoy this episode and we'd encourage you to share it with a friend. That's the best thing you could do for us. We We appreciate the reviews and the ratings. Yeah. But if you could share the episode, we're just about helping people and you can help people and be part of the mission. So we could do that. Hey, just a reminder that we're taking the summer off, but come back next week to listen to one of our favorite episodes from the archives. See you soon.

From the publisher

It's no secret that machine intelligence is evolving by the day. But what if there's a uniquely human intelligence that's altogether different? In this episode, neuroscientist, researcher, and Special Ops consultant Angus Fletcher joins Michael and Megan to explore our uniquely human contribution to the world. They unpack why children are more creative than AI, what intuition truly is (it's not pattern recognition), and how embracing your inner child can make you a better entrepreneur.

They also delve into human relationships, examining why mystery and curiosity are the engines of lasting love and how three simple practices helped turn around a 90% divorce rate among Army Special Forces operatives.


Memorable Quotes

  1. “I think our brains are smarter than computers. I think children are more creative than AI. And I think that one of the real powers of the human brain is that unlike a computer, it doesn't need a lot of information. I think that it can handle volatility and uncertainty and all these kinds of things.”
  2. “What we need to do as humans now is we need to say, ‘Hey, AI is great because it can handle all the label stuff, it can handle all the efficiency. It's time for us to get back to being human again,’ and realizing that being human again means cherishing the way that people are not like the labels I put on them."
  3. “What's the one thing you learn in school? You learn that there's an answer, and the system has it. And what we know is that the more that a child believes that there's a right answer, the less likely she is to come up with a new answer. And so school, by its very method, crushes entrepreneurs.”
  4. “Humans don't predict the future, we make the future. And the way that we make the future is we see a possibility that no one else has seen before, and we move faster to make that possibility happen, and that is unpredictable because it relies on the ability to spot exceptions faster.”
  5. “When you despair, it's over. When you despair, you've already told yourself the end of the story, and so you've given up. Whereas what you've always gotta realize is that you're still in control, and you can still write the last chapter.”
  6. “The reason that the hedonic treadmill exists is because once your brain has automated something, it wants you to move on from it. Your brain actually doesn't want you to take pleasure in automated activities because your brain wants you to automate something and then grow. Growth is what your brain takes perpetual pleasure from.”
  7. “All the wisdom, all the emotional strength you have, those come from moments in your life when you struggled, when you failed, when you experienced setbacks and maybe even tragedies. And so really what you wanna do is you wanna start being thankful for those hard times because you realize those were a source of growth.”
  8. “What we teach the operators is… to ask the other person who, what, when, where, how, but never why. Because the moment you ask ‘Why?’, you serve a judgment, and the conversation is over… The moment you've made a judgment, your relationship is over. You've fallen out of love. Love is about mystery.”


Key Takeaways

  1. AI Optimizes. Humans Innovate. Computers excel in transparent, stable, data-rich environments. The human brain evolved for the opposite: murky, volatile, unpredictable conditions. Anytime you need something new, something human, or something that has never existed before, humans will always have the edge.
  2. Intuition Is the Opposite of Pattern Recognition. That widely accepted belief that intuition is pattern recognition? It's demonstrably wrong. Computers are far better at pattern matching than humans, yet they have terrible intuition. Real intuition is the brain's ability to spot anomalies, exceptions, and outliers—the foundational skill of every entrepreneur.
  3. Leave Optimizing to the Robots. The hedonic treadmill is real: the more you automate your life and work, the less pleasure you get from it. Your brain rewards growth. Leaders who focus exclusively on efficiency are, paradoxically, making themselves more replaceable in an AI world.
  4. Your Inner Child Is Your Competitive Advantage. Children notice what's special. They don't think in labels and categories but embrace individuality and discovery. Reconnecting with that capacity—through travel, unfamiliar conversations, art, and genuine curiosity—is how you recultivate the intuition that school and workplace culture have suppressed.
  5. Mystery Is Key to Love. Love thrives on the feeling that there's always something more to discover about your partner. Great partners keep asking questions: Who? What? When? And how? But they rarely ask Why?, because that renders judgment, and judgment kills curiosity and connection.


Resources


Watch on YouTube at:  https://youtu.be/7w38CL5iX2Y

This episode was produced by Sarah Vorhees Wendel of VW Sound


More from The Double Win

All 110 episodes
ANGUS FLETCHER: Our Uniquely Human ContributionThe Double Win · 56 min
Listen in VO