How to Master the Science of Learning

9 May 2024 · 20 min

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In short

Summary of The Duct Tape Marketing Podcast Episode: How to Master the Science of Learning

Episode Overview In this episode of The Duct Tape Marketing Podcast, host John Jantsch interviews Scott Young, a Wall Street Journal bestselling author known for his book "Ultra Learning" and his latest work, "Get Better at Anything: 12 Maxims for Mastery." The discussion focuses on the core principles of learning and skill acquisition, drawing fascinating parallels between cognitive science, gaming, and practical application in various fields.

Key Takeaways

  • Cognitive Load: Understanding cognitive load theory is crucial for effective learning, as it highlights the limitations of working memory and the importance of structuring information for easier comprehension.
  • Learning from Others: The ease of learning from others significantly impacts progress. Surrounding oneself with experts and leveraging their knowledge is essential for mastery.
  • Feedback Mechanisms: Regular feedback is vital for improvement, allowing individuals to adjust their approaches based on corrective information.
  • Practice: Not all practice is created equal; understanding the most effective methods for practice is necessary to avoid stagnation.
  • Creativity through Copying: Many aspects of creativity stem from imitation and learning from established patterns, challenging the misconception that originality means rejecting prior work.
  • Role of Teaching: Teaching others can deepen one's understanding of a subject, revealing gaps in knowledge and facilitating clarity.

Detailed Insights

  1. Principles of Learning

Scott Young breaks down learning into three key components based on cognitive science:

  • See: Learning from others—observing techniques and strategies from experts.
  • Do: Engaging in deliberate practice—understanding what types of practice yield the best results.
  • Feedback: Receiving information on performance to make necessary adjustments.
  1. Research Methodology
  2. Young's research process involved undertaking "ultra learning projects" and exploring various domains to understand the fundamental mechanics of learning.
  3. He reviewed extensive literature, including hundreds of books and research papers across multiple disciplines, to identify broad truths about learning.
  1. Surprising Insights
  2. Young discusses findings like John Sweller's research, which demonstrates that solving problems doesn't necessarily lead to understanding the process behind them.
  3. He also highlights Dean Simonton's research on the relationship between creative output and success, suggesting that quantity often leads to quality.
  1. Video Games and Learning
  2. Tetris serves as a case study in learning efficiency. The current generation has access to resources that dramatically enhance learning strategies, making them more effective than previous generations.
  1. The Connection Between Copying and Creativity
  2. Young emphasizes that creativity often stems from copying, where understanding established works provides a foundation for innovation. This contrasts with Western notions that value originality over learning from predecessors.
  1. Cognitive Load Theory
  2. The concept of cognitive load explains that our working memory has limitations, which can be optimized by structuring information in meaningful ways, enhancing our ability to learn and retain new skills.
  1. Teaching as a Learning Tool
  2. Teaching reinforces learning by pushing individuals to articulate their understanding, revealing areas where they might lack clarity or knowledge.
  1. Practical Application
  2. The latter chapters of Young's book offer actionable advice for applying these principles in real-life scenarios, encouraging readers to identify their specific challenges in learning and skill acquisition.

Conclusion Scott Young's insights into the science of learning provide a comprehensive framework for improving skills in any domain. By optimizing cognitive processes, leveraging the power of feedback, and embracing the role of copying in creativity, individuals can enhance their learning journeys and achieve mastery in their pursuits.

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Connect with Scott Young

  • Website: [scotthyoung.com](http://scotthyoung.com)
  • Social Media: Follow Scott on various platforms for additional resources, including podcasts and newsletters.

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Additional Resources

  • If you're interested in mastering skills effectively, consider reading Scott Young's "Get Better at Anything" for an in-depth exploration of these concepts.

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Transcript

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1:02Hello, and welcome to another episode of the Duct Tape Marketing Podcast. This is John Chance. My guest today is Scott Young. He's a Wall Street Journal bestselling author of the book Ultra Learning, and he's got a new book out called Get Better at Anything, 12 Maxims for Mastery. His work has been featured in the New York Times, Pocket, and Business Insider on the BBC and at TEDx, among others. He doesn't promise to have all the answers, just a place to start. And he lives in rainy, sunny. I'm not sure which it is. Rainy, sunny Vancouver, Canada is what I was going to say there. So welcome back, Scott.

1:41Oh, thanks so much for having me back. So get better at anything. Pretty bold promise. You and I were talking before I hit record and you let me know you have two young children. So talk about a new thing to get better at. Yeah, yeah. It's definitely a crash course when you have your first one. And then the second one realizes that actually each kid is unique. So you have to do it again over with a new one. Absolutely. So 12 maxims. So there obviously are 12 ideas in here, but you've kind of broken them up into, I don't know, types of learning. So you want to start there? Well, yeah. So, I mean, the idea of the book was to try to find what are the fundamental principles for getting better, for improvement, for skill acquisition that we've learned from cognitive science.

2:31And so I broke it into three parts, and I think you need all three to really get better. The first is C, which is learning from other people. And one of the things that came up repeatedly in the research is that the easier time we have learning from others, the faster we'll make progress. And often when we get stuck, it's because something in our environment is making it harder for us to learn from the people who are the best. The second factor is do, which is obviously practice is super important for learning, but not just every kind of practice works equally well. So again, there's also this sort of myth that if you just do something enough, you'll become really great at it.

3:05But the research actually shows that often we stall, often we don't make progress. And so figuring out what kind of practice matters. And then finally, feedback, which is, you know, obviously important. You need to get this corrective information from the environment about how to adjust what you're doing. And so the entire book is a deep dive into the many ways that this goes right and wrong and how you can engineer those in your own efforts at getting better at things. So talk a little bit about your research methodology. I mean, this is one of those, if you're going to teach somebody how to get better at stuff, you're going to do a lot of experimenting yourself.

3:39I'm guessing you're going to talk to a lot of people. How do you break yours down? Well, I mean, I kind of have a weird background. So as we talked about in my previous book, ultra learning, which when we had the interview, probably about five years ago, my starting point for a lot of this interest in learning was taking on sort of these aggressive what I called ultra learning projects. So learning MIT's computer science curriculum, learning multiple languages, portrait drawing, quantum mechanics, a bunch of skills. And that was the starting point. But I think once you learn a lot of things, you get very interested in like, how does it actually work?

4:12You know, what is that? What are the mechanisms? What are the principles? And so for this book, I wanted to do a much deeper dive in the science of learning. And that's a bit of a daunting process, because it's, it's not just like there's one book you can read, and it'll tell you everything. I mean, learning spans, cognitive psychology, neuroscience, anthropology, it spans practical and theoretical, you've got people working on artificial intelligence models. And then you've got like the embodied wisdom of teachers who have taught for decades. And so the research project was sprawling and I read hundreds of books, probably about six, 700 papers.

4:49And so this book I try to do is to try to distill what are the broad patterns? What are the things that are not like, you know, here's a quirky study, but here's a broad truth that applies to many different fields, many different ways of getting better at things. so this sounds like a canned question but i think based on based on the research way you did it were there any like giant surprises like you were blown away by something that you learned oh i mean yeah writing this book was also like an attempt to me to write down the things that surprised me so i mean one of the things that surprised me right off the the bat was uh john sweller's work that i talk about in uh it's the second chapter of the book and this uh research he found that, you know, through these careful experiments that you can get people to solve problems and they don't learn how to solve the problem, which sounds like almost like a contradiction in terms.

5:35Like how do you solve a problem without learning how you solve it? You drink a lot, drink a lot of beer, maybe, or I don't know. No, I mean, these are, these are people who they, they find some method to solve it, but then if you ask them, well, what is the method that you're using to solve it? They can't articulate it. They can't remember it. And that has big implications for applying that method to new ones. And so I think that was one of the things that really surprised me. I also found Dean Simonton's work on basically creative success being very closely coupled to creative quantity or the amount that you actually produce and publish to also be interesting and full of like fascinating implications that don't get mentioned that often as well.

6:10So I mean, the book is just full of my own surprises and my own things that I thought were worth sharing. I've never been a big video game person. I just, frankly, I just feel like it's not a very good use of my time. Especially if you read these studies that people are playing Fortnite for nine hours a day or something like that. But the one game that I kind of got attached to was Tetris because I just felt like there was something different about it. You talk a lot about Tetris. So what do we have to learn from Tetris? I mean, Tetris, this was always a risky gamble putting it in a book because there's people like yourself, like I don't play video games.

6:48And then you open with a story about video games and it's like, am I going to lose some people here? But I think it was a story that when I first heard this, I heard this from John Green. He was the YouTuber. He started talking about this. And that's what triggered me to do all this research about Tetris that I wouldn't have otherwise done. And the thing that was fascinating about it is that it's in kind of a microcosm, everything we need to really know about how learning and improvement works. And it's the fact that it's in a domain that most people don't even think about, I think makes it all the more rewarding.

7:17So the basic idea is that Tetris comes out in the early 90s. It's a phenomenal hit. People are obsessed with it. They're hallucinating falling blocks and it's like a cultural obsession. But if you look at the world record performance, the best people at Tetris, these are the people who are truly obsessed. They're playing it nonstop. They're actually not that good at it. And the reason we know they're not that good at it is that now there's like 12 and 13 year old kids that are like unfathomably better at the game. Like it's difficult to put into words how much better they are at the game than they were you know two decades three decades ago so what's the difference why are we suddenly much better at playing tetris than we used to be and the answer it turns out has a lot to do with how learning works the environment that people play these video games has transformed radically with the invention of the internet the way you used to play video games when you were you know in the early 1990s is like maybe your brother your brother's friend he knows a trick or a strategy and you hear from him or maybe you read something in a magazine and now it's online now you can watch people play the video game you can see how their hands move you can learn the techniques that are at the best frontier of play much more easily and this has huge implications for learning workplace skills learning hobbies learning all sorts of things that maybe matter more to you than tetris which is how do you get access to sort of the best practices the best techniques which are often hidden and really do make a big difference in not just your individual performance, but how as a field you're moving forward and innovating.

8:45Yeah, it makes a ton of sense. I see entire YouTube channels dedicated to just people talking about how they play the game. So yeah, it's crazy. Chapter two really got my attention because I've been a long believer in this idea that creativity begins with copying. And I think a lot of people kind of have this idea that I'm not creative or I'm not a creator even, but really almost in every field, certainly all of my work has been informed by math or architecture or something else I read that I was like, oh, I know how I can apply that to what I'm trying to do. So talk a little bit about that idea that copying is actually part of the creative process.

9:28I mean, this was a chapter that I'd been wanting to write for years, even before ultra learning had come out, because when I got the chance to spend some longer time in China, one of the things that I found fascinating is how the culture differed from the West. In the West, we tend to make creativity and originality as being these polar opposites, that either you're a plagiarist or you're an original. We all want to be originals. We don't want to be people who copy things. And the thing that I really appreciated from the Chinese context is the appreciation of precedent, the appreciation of learning from the masters and the examples that come before.

10:04And as I dig in and I dig into the research here that like, this is how we used to teach a lot of things that we now expect people to just be creative and inspiring off the bat that the artistic training, especially like I cover the sort of apprenticeship period during the Renaissance, but also, you know, in the academy system that came after it, there really was a fairly structured approach to like starting with simple examples, copying from masterworks, basically learning the patterns for how to do something successfully, building up this technique so that when you do want to express an idea, when you do want to do something creative, you have all these tools at your disposal.

10:41And I think that, you know, whether it's artistic instruction, whether it's math instruction, whether it's any kind of field like this, this sort of idea that creativity is built off of copying, of understanding examples, of understanding precedent is something that, you know, I hate to say is kind of unappreciated in our current culture, which focuses on genius that comes out of nowhere. There was a book a few years ago I had Austin on the show called Steal Like an Artist. I don't know if you're familiar with that book. And, you know, the whole book's about that, you know, it's a small little book about that whole idea.

11:15And I think that I think you're absolutely right that, you know, people really don't understand that concept. I mean, I remember hearing a musician one time say, you know, we're all using the same eight notes, you know, like nobody's making up new notes. Um, you know, it's really just worse. So we're all, you know, borrowing from that kind of reservoir of stuff and we're just having new ideas about it. Yeah. I mean, there was a quote from one of the jazz musicians that I, uh, uh, covered in a, in a later chapter where we're talking about variable practice. And, um, he says, you know, I, I didn't know how, how could people like do these jazz improvisations, just like pull something out of thin air.

11:51And he's like, I had no idea like the amount of study and knowledge of like knowing what had been played before and understanding what had been played before. So, you know, you know, people like Quentin Tarantino, for instance, are very kind of like do this very nakedly where they're like doing pastiche and doing kind of, you know, things that call back to things you like, but pretty much any great artist, that's what they're doing. They're kind of like, I like these three things and I'm going to do them. And it's just because they have all this knowledge, they have this ability to do it. I mean, it's so important and it's something that I think is not stressed enough.

12:22Yeah. So this isn't really a question. I just want to hear you talk about cognitive load theory. Yeah. Yeah. Cognitive load theory. Well, I mean, it sounds really complicated, but the idea, the idea is very central, very central to learning. And it's again, one of those things that I think if you understand it, it makes sense of a lot of stuff. But the basic idea is that the way our brain works is we have this central bottleneck called working memory and working memory is kind of think of it as like your consciousness, Like what things you can hold in mind right now at this moment, you know, not things you're remembering, not things you've written down, things that are like in your head at that moment.

12:58And it's very narrow. You can only hold a very small amount of information at a time. But to learn things, it has to go through that bottleneck. You have to go through that sort of narrow window of attention. But there's a little bit of a trick. Once we gain experience in a field, we gain ways to sort of bypass this bottleneck or make it more efficient. So like the classic example is, you know, if you are learning letters, for instance, like if you give someone a sequence of random letters, people will probably be able to remember like between five and nine and then they're going to have it drop off.

13:33But if you reorganize those letters into acronyms that people understand, like I think in the book I use like NHL, FBI, NBA or something like that, then those nine letters all of a sudden you can remember it because you're within that bottleneck. And so this idea that as we learn meaningful patterns from a domain, we can handle more information means that so much of getting better is about figuring out not just what is the best method to learn or what's the best technique, but how do you deal with the fact that when you're starting out, you can contain, you can like deal with a lot less information than you can when you end up.

14:05And so this sort of progressive aspect to it of like tuning whatever you're doing to where you're at in terms of your own cognitive load ability, it's huge. It underpins so much of learning. And I think it's, again, another underrated factor in improvement. So tell me where teaching fits into this. Again, you read a book, you maybe try some things, then you turn around and try to teach somebody else how to do it. where does that fit into the continuum of you know getting better i mean i think teaching is often very helpful especially for like when you realize when you're teaching something you realize that you often don't understand something very well or you can't articulate that understanding it's another i have a whole chapter talking about how like as you gain experience in something part of the way we avoid this working memory bottleneck is that components of the skill like mental steps get automated.

15:00They can become something that we do unconsciously. So we just skip over things and we just get the right answer. And that can make it very hard when you have to communicate to someone because it's like, well, you went from step one to step nine. What's two through seven or two through eight? I don't get it. And it can be hard for you to articulate that. And so this tacit knowledge is often a barrier when you're teaching something for the first time, you realize, oh, wait, how do I like, how do I break this down? How do I explain it to someone? But then I think as well, teaching something is also a chance to, it's a chance to refine, it's a chance to kind of make explicit again some of these ideas.

15:34When you're teaching something, you're often looking for simplifications, you're looking for ways that you can explain an idea in a way that maybe is not the difficult way that you learned it, but an easier way to make sense of it. And so I don't know, I think teaching is a very important part of getting a real conceptual understanding or a real explanatory framework for an idea. Yeah. It's so funny. As you were describing that, my wife asked me how to do, she's not a computer person. She asked me how to do stuff all the time. And I'm like, well, I don't know. I just do it. It's like, oh, okay.

16:05Yeah. I guess I do that. And then that, you know, but you're, you're so right about that. oh yeah so um all right there's a lot of amazing ideas in this book and concepts in this book how does somebody take the entire book and and make it very practical um in terms of getting better at something i mean is there uh is there a framework you know for like take it step one step two or is it really more a matter of you've got to plug in where you are well i mean in the last chapter, I give some sort of practical advice for applying it. But in each chapter, at the end, I kind of end with like, here's some ways you can apply these ideas.

16:46And the way I like to think about it is that if you were to like fix a car, for instance, let's say you have a car that's broken down on the side of the road, having a mental model of how a car works is going to be really helpful. You're going to be able to say, oh, okay, the problem here is we have a flat tire. Or the problem here is that, you know, we're out of oil. Or the problem here is, you know, there's something rattling around here, I got to fix something that's loose. And so in a similar way, I think the main value of a book like this is having that mental model of learning so that you can kind of self-diagnose in some senses.

17:16What is the problem I'm coming out here? Is the problem that I don't understand what the best practice is? Is it like a problem of seeing? And do I need to join those groups, find those mentors, find those teachers, find that community to get to that best practice so I'm not figuring it out on my own? Is the problem practice? Is the problem that like I am wasting a lot of effort doing things that are not moving my skill forward? is the problem feedback that I'm not getting enough information about what I'm doing right and wrong. And so if you have these sort of mental models from the book, if you have these like ideas, you can kind of steer toward designing techniques that will suit your situation.

17:48Because I do think learning is a, you know, despite the fact that we just do it instinctively, there's a lot of complicated stuff going on. And so figuring out what it is you're doing wrong or figuring out what you're doing right when it's working well is the first step to making progress into getting yourself unstuck. I remember when, uh, back in the day, when you'd buy a piece of software off the shelf and it would come with a 400 page manual. Um, and I remember literally like I use this example all the time where you, you, you could read the whole book and not know how to do anything really, but then you'd go in and start trying to make it do what you wanted it to do and get stuck.

18:24And then you could go back and reference the book, you know, or you could go watch a YouTube video on how to do it. And I think a little bit, so in some ways what you're saying is there's, there's almost a combination of all of those kinds of things, isn't there? Yeah. Well, I'm hoping that the kind of person who reads this book is going to be someone who says, you know what? I want to be a better marketer. I want to be a better public speaker. I want to be a better painter, programmer, skier, or something like that. They're going to read the book and they're going to notice things about what they're doing.

18:51They're going to notice kind of like, Oh, my problem seems to be here. And then they can find techniques that are tailored to that. And so the book does cover a lot of different ideas, but I think that's just also because there are so many different kinds of, you know, troubleshooting steps you could get into. It would be nice if things just like, oh, there's one thing you have to do and all the time, but it is a little bit more like a car breaking down and you have to be like, okay, what do I need to fix? And so I think that's the, why I tried to write the book and tried to cover the ground that I covered to give people the best possible chance of fixing it.

19:21Well, that's also great advice. I mean, read the book in the context of what you're trying to get better at, right? Yeah, of course. I mean, it's always easier when you have, when you approach a book like this with some particular concrete goal in mind. Well, awesome, Scott. It was great catching up with you for a few minutes. Is there someplace you'd invite people to connect with you and obviously pick up a copy of Get Better At Anything? Yeah. I mean, everyone can visit my website, scotthyoung.com. I have a podcast, YouTube channel, newsletter there, all free if If you are interested in those things.

19:51And then of course the book is available, Amazon, audible, wherever you get your books. If you're interested in diving deeper into the science of learning. Awesome. Next time we talk, I want you to have one of your kids come on and I can ask him if you've gotten better at being a dad. Okay. Well, we'll find out. We'll find out. All right. Awesome. Great seeing you again. Hopefully we'll run into you one of these days again out there on the road.

20:19See you next time.

From the publisher

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In this episode of the Duct Tape Marketing Podcast, I interviewed Scott Young. Through his extensive research and exploration into the science of learning, Scott Young has uncovered fascinating insights into how individuals can master the art of acquiring new skills effectively. In this episode we cover the core principles of learning and how they can be applied in various contexts, from mastering video games like Tetris in navigating paths to mastery.

 

Key Takeaways

Scott Young sheds light on the science of learning, emphasizing the importance of optimizing cognitive load, embracing the value of copying, leveraging teaching as a tool for deepening understanding, drawing parallels between retro gaming and the learning processes of today to access best practices, By incorporating these insights into your learning journey, you can unlock your full potential and achieve mastery in your business or any domain they choose to pursue.

 

If you liked this episode please consider rating and reviewing the show. Click here - https://podcasts.apple.com/us/podcast/the-duct-tape-marketing-podcast/id78797836 scroll to the bottom, tap to rate with five stars, and select “Write a Review.” Then be sure to let me know what you loved most about the episode.

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