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TED Talks Daily

20 Oct 2026 · 19m · 5 chapters

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Why the best learners talk to themselves | Tania Lombrozo

In short

Cognitive scientist Tania Lombrozo argues that learning is often hindered by information overload and by immediately seeking answers outside the mind. Her counterintuitive method is “learning by thinking”: start with what you already know, explain it to yourself out loud (rubber-duck style), and use the gaps you uncover to decide what new information to look for. She links this to the illusion of explanatory depth and to the self-explanation effect.

Guest backgrounds

Tania Lombrozo is a cognitive scientist who has studied learning for over 25 years; she gave this talk at TEDx New England in 2025.

Key claims

Explaining transforms and combines existing knowledge; it reveals what you don’t know; it improves learning and transfer more than passive intake.

Notable examples

rubber ducking by programmers; a study where prompting 5–6-year-olds to explain changes their card-matching strategy; a story about a child asking how tornadoes start and realizing she couldn’t explain low pressure’s funnel mechanism.

Written by AI. May contain mistakes.

Chapters

0:45

The Challenge of Learning Today

Exploration of why modern learning can be overwhelming due to excessive information.

“In her talk, Tanya makes a counterintuitive case that the best place to start learning isn't on the web or in a search bar or a chat bot, but in your own head.”
4:15

Learning by Thinking

Introduction to the concept of explaining problems to oneself to enhance learning.

“Software engineers have a delightful practice called rubber ducking.”
6:39

The Process of Learning by Thinking

Elaboration on how to utilize existing knowledge effectively for better learning.

“As soon as you have an answer, please raise your hand.”
10:34

The Self-Explanation Effect

Understanding how self-explanation improves learning outcomes in children and adults.

“It's a version of learning by thinking that involves seeking explanations.”
14:00

The Power of Explaining and Learning

This segment explores how explaining concepts can enhance understanding and identify knowledge gaps.

“to it than a card with no ducks at all will.”
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Transcript

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0:02Tania Lombrozo: You're listening to TED Talks Daily, where we bring you new ideas to spark your curiosity every day. I'm your host, Elise Hu. With tools like the Internet and AI at our fingertips, learning should be easier than ever, right? And yet cognitive scientist Tania Lombrozo says it often isn't. In fact, she says that all the information we now have almost instant access to might actually be getting in the way.

0:27Elinor Goodman: And more information can make learning harder rather than easier. We run the risk of information overwhelm. Part of the problem is that we tend to approach learning by looking outside of ourselves for more information. But that can just exacerbate the overwhelm.

0:47Tania Lombrozo: In her talk, Tanya makes a counterintuitive case that the best place to start learning isn't on the web or in a search bar or a chat bot, but in your own head. She calls it learning by thinking, and it starts by explaining things to yourself out loud the way a programmer might talk through a problem with a rubber duck on their desk. Try it, she says, and you'll often discover you understand less than you assumed.

1:11Elinor Goodman: I suspect that all of us have had an experience like this one. an experience of trying to explain something and realizing in the course of doing so that we understand much less than we thought we did. It's a phenomenon called the illusion of explanatory depth.

1:31Tania Lombrozo: That's not a bad thing, though. This act of self-humbling actually sets you up to be a better student. It creates a foundation to build off of. Today, Tanya shares the science behind why explaining things to yourself in your own words makes you a better learner and how in an age of endless information, the smartest first step might be to log off and look inward instead. That's coming up right after a short break.

2:02Tania Lombrozo: This episode is brought to you by Capital One. Capital One's tech team isn't just talking about multi-agentic AI. They already deployed one. It's called Chat Concierge and it's simplifying car shopping. Using self-reflection and layered reasoning with live API checks, it doesn't just help buyers find a car they love. It helps schedule a test drive, get pre-approved for financing, and estimate trade in value. Advanced, intuitive, and deployed. That's how they stack. That's technology at Capital One.

2:35Tania Lombrozo: This message is brought to you by Apple Card. Ah, fall. That cozy season where we swap the swimwear for sweaters and sunnies for scarves. But before the Halloween decorations are put away or the Thanksgiving table has been set, there's already holly jolly music playing in the grocery store, reminding you that the year is coming to a close. Time to kick end of year into high gear. When you use Apple Card with Apple Pay, you earn 2 % daily cash back on all purchases, including food, decorations, gifts, and more. Get a head start on your end of year purchases. Apply for your Apple Card in the Wallet app on your iPhone today.

3:13Tania Lombrozo: and start using it right away with Apple Pay. Subject to credit approval, Apple Card is issued by Goldman Sachs Bank USA, Salt Lake City Branch, terms and more at applecard.com. This episode is brought to you by Memorial Sloan Kettering Cancer Center. October is Breast Cancer Awareness Month and research at Memorial Sloan Kettering Cancer Center is making more breast cancers treatable. A few years ago, MSK's work led to the first targeted therapy for a form of breast cancer that had almost no options. And this year, that treatment was approved for even more people. That's the kind of progress that once seemed impossible.

3:49Tania Lombrozo: Gifts from people like you make these kinds of advances possible. Flexible support gives MSK's researchers the freedom to pursue new ideas and turn them into real treatments for people facing breast cancer. And right now, every donation to MSK is tripled. Give before October 31st and your gift goes three times as far. Give now at msk.org slash TED Talks Daily.

4:15Tania Lombrozo: And now, our TED Talk of the day.

4:18Elinor Goodman: Software engineers have a delightful practice called rubber ducking. When they run into a problem with their code, they'll explain it to a rubber duck. They'll work step-by-step, line-by-line, and some of the time, they'll learn something new. But how can this work? The ducks don't talk back, so the programmers are explaining to themselves they're not getting any new information. And yet, something about this process helps them learn. Rubber ducking is an example of what I call learning by thinking. And understanding how learning by thinking works is the key to becoming a better learner. Now, most of us want to be better learners.

5:15Elinor Goodman: That's because we want to make our minds better, more effective, and more informed. But learning can be hard. And in the years ahead, we'll have access to more and more tools and to more and more information through the internet and social media and AI. And more information can make learning harder rather than easier. we run the risk of information overwhelm. Part of the problem is that we tend to approach learning by looking outside of ourselves for more information. But that can just exacerbate the overwhelm. Instead, we could be learning by thinking. We could be starting with the information we already have.

6:07Elinor Goodman: I'm a cognitive scientist, and I've been studying learning for over 25 years. One thing I've come to appreciate is that our minds are richer and deeper than we often give them credit for. In fact, our minds contain vast repositories of knowledge, knowledge that's contained in our memories and our skills. Learning by thinking is the process of tapping into that knowledge to become a better learner. To give you a sense for learning by thinking in action, I'd like to ask you a few questions. As soon as you have an answer, please raise your hand. You ready? How many windows are along the front of your house or apartment?

7:02Elinor Goodman: What is the fifth letter of the alphabet?

7:11Elinor Goodman: Is the letter Z on the left or the right side of a typical keyboard?

7:24Elinor Goodman: I'll bet that many of you didn't know the answers to these questions immediately. but you had the knowledge you needed to figure them out. You could use your visual memories to count the number of windows along the front of your home. You could use your auditory memories to figure out that E is the fifth letter of the alphabet. And you could use your motor skills to figure out that the letter Z on the left side of a typical keyboard. These simple examples highlight the richness and depth of the knowledge you already have, and they illustrate the process of learning by thinking. But recognizing that you have untapped knowledge is not enough to become a better learner.

8:12Elinor Goodman: That's because you also need to know how to extract that knowledge when you need it. Suppose you decide to bake chocolate chip cookies, but the recipe calls for chocolate chips and for salted butter, neither of which you already have. Fortunately, you can transform that bar of chocolate you do have into the chocolate pieces you need for the recipe, and you can combine unsalted butter with salt to get salted butter. This is probably familiar. When we're cooking, we often transform and combine the ingredients we have to get the ingredients we need. It's just the same for learning. When we're learning by thinking, we transform and combine the information we already have.

9:03Elinor Goodman: To see how this works, consider that information can be represented in all sorts of ways. Until today, you probably represented the windows along the front of your home, not in the form of a single number, but as a series of visual memories. So when you transform and combine those memories to extract a single number, you learn something new. You learn how many windows are along the front of your home. And so you can answer a question that you couldn't answer before. That's the magic of learning by thinking. There is a catch, though. Not all learning can be done by thinking alone. If I've never been to your home, I can't think my way to how many windows you have.

9:52Elinor Goodman: I need new information. But asking myself how many windows you have sets me up to learn, so that when I do make it to your home, I know precisely what information to look for. That's why learning by thinking is so often the best place to start. Going back to our chocolate chip cookies, it makes sense to look at the ingredients you have already before you start making a shopping list. Unfortunately, though, when it comes to learning, we don't have a recipe. There's no single strategy for learning that guarantees the best outcome in every case. But there's one strategy that comes close. It's a version of learning by thinking that involves seeking explanations.

10:44Elinor Goodman: In the late 1980s, scientists wanted to understand what it is that differentiates the most successful students from their less successful peers. Even when students have access to exactly the same information, the same textbooks, the same passage of text on an exam, How much they learn can vary enormously. So what sets those best learners apart can't just be the information available outside their heads. It has to be something about what they do with that information. The scientists found that many of the most successful students had something in common. As they studied, they explained to themselves They asked themselves questions, and they did their best to offer good replies.

11:42Elinor Goodman: They were their own rubber ducks. Since then, lots of studies have found that explaining to yourself can have a dramatic impact on learning across a range of contexts and a range of domains. When children or adults explain to themselves, they tend to learn better and can apply what they learn more broadly than those who don't explain. This is known as the self-explanation effect, and it is a powerful strategy for learning by thinking. Let me give you an example from my own research. It's an example that shows how children can transform the way they represent information by explaining. Just for fun, we'll illustrate with ducks.

12:34Elinor Goodman: I'd like you to imagine a card with two ducks on it. We'll call it the reference card. Now imagine two new cards. One has two frogs. The other has one duck and one fox. you have to choose which of the two new cards goes with a reference card. Take a moment to consider which you would choose.

13:04Most research, including my own, finds that in a case like this one,

13:10Elinor Goodman: adults will typically choose the card with two frogs to go with a card with two ducks. That's because they don't only represent the cards as having a frog and a frog and a duck and a duck. They also represent them as having the same objects and the same objects. When you represent the cards in this way, it's natural to pair the two sets of matching objects together. So what about kids? Five - and six-year-old children will typically choose the card with one duck and one fox to go with a card with two ducks. That's because they represent the reference card as having a duck and a duck. So a card with one duck on it will be more similar to it than a card with no ducks at all will.

14:04Elinor Goodman: Children do this even when they're shown plenty of examples to make it clear that in this task, the right answer is the adult pattern of matching same with same. But in one of our studies, we were able to make five - and six-year-old children think like adults by prompting them to explain. After seeing examples equivalent to the card with two frogs being paired with a card with two ducks, we prompted half the children to explain why those cards went together. We didn't give them any feedback, so they didn't have any new information. Yet those kids who explained went on to pair new sets of cards just like adults, matching same with same.

14:56Elinor Goodman: By explaining, they changed the way they represented the information to solve the task. Explaining has another remarkable property. It's one I've hinted at already. Explaining sets you up to learn. My friend Roxanna has a young son who asked her one day how tornadoes start. She'd taken a class on climate and natural disasters in college, so she thought she could explain it pretty well. She started to describe how there's a difference in pressure, and then she drew a blank. What sets it off? She didn't know. How exactly does low pressure produce a funnel? She couldn't say. She told me that she realized she knew nothing.

15:47Elinor Goodman: I suspect that all of us have had an experience like this one. An experience of trying to explain something and realizing in the course of doing so that we understand much less than we thought we did. It's a phenomenon called the illusion of explanatory depth. And this illusion points to another reason why it's so valuable to start the process of learning from within with the information we have already. When we start to transform and combine what we know, or what we think we know, to craft an explanation, we often uncover gaps that point us to the information we're missing. So we know what questions to ask and how to connect the answers to what we know already.

16:43Elinor Goodman: By trying to explain, Roxanna identified a gap, something she needed to know, how it is that low pressure relates to a tornado's funnel. She knew what needed to go on her information shopping list. Knowing what we're missing, what to look for, can be a first step in navigating information overwhelm. That's crucial because in the years ahead, that overwhelm will only become worse. Tools for getting and synthesizing information will be all the more pervasive, and we'll be tempted to solve problems by turning first to the information available outside our heads. We'll be tempted to rely on AI-generated responses to our search queries, and on the explanations we can get from chatbots.

17:41Elinor Goodman: These are incredible tools, but they shouldn't replace learning by thinking. If we don't start with the information we have already, we outsource the process of transforming and combining that information that sets us up to seek the right information and to make sense of that information when we get it. We become poor at policing the boundaries between what we know inside our heads and what we merely have access to outside them. We fall prey to illusions of understanding. But now you know how to break free from those illusions by seeking explanations. When you explain to yourself, you transform and combine the information you have to answer new questions.

18:40When you explain to yourself, you're more likely to recognize what it is you don't know.

18:46Elinor Goodman: And so you know what to look for when it's time to shift from learning by thinking to learning from new information. unfortunately learning by thinking will not make learning easy but it means your effort isn't wasted it gives you a path through information overwhelm to insight and learning by thinking won't eliminate the need for new information at least in lots of cases but it helps you know where to look it helps you know what you're missing and what to do with new information when you get it So to be a better learner, don't start with the information outside your head. Look inside first. Take a moment to ask yourself questions, to explain to yourself.

19:46Elinor Goodman: Be your own rubber duck. Thank you.

19:57Tania Lombrozo: That was Tanya Lombroso at TEDx New England in 2025. If you're curious about TED's curation, visit ted.com slash curation guidelines. And that's it for today. TED Talks Daily is a podcast from TED. This episode was fact-checked by the TED Research Team and produced and edited by our team, Martha Estefanos, Oliver Friedman, Lucy Little, Emma Taubner, and Tansika Sungmarnivam. Additional support from Daniela Ballarezzo, Christopher Faze-Bogan, Valentina Bohanini, Banban Chang, Brian Green, and Lainey Lott. Learn more at podcasts.ted.com. I am Elise Hu. I'll be back tomorrow with a fresh idea for your feet.

20:39Tania Lombrozo: Thanks for listening.

20:49Tania Lombrozo: This episode is sponsored by Defender. Summer is on its way and now is the time to start planning your next great outdoor adventure. If you're setting your sights on higher peaks, deeper rivers, and bigger dreams, embrace the impossible with Defender. Built with legendary capability and tested on some of the most difficult terrain, Defender brings the toughness you need in a vehicle to take you to faraway places with the comfort and smart tech that makes the journey feel luxurious. Choose between the sleek two-door Defender 90, the purposeful Defender 110, or the Defender 130 with seating up to eight people for bigger expeditions.

21:28Tania Lombrozo: Defender's robust materials mean you can adventure without compromise, and innovative driving aids like ClearSight technology help you view the world around you in powerful new ways. With the available three models, you have the potential for up to 89 cubic feet of cargo space. This summer, adventure with confidence. Explore the full Defender lineup at LandRoverUSA.com. This episode is brought to you by Memorial Sloan Kettering Cancer Center. October is Breast Cancer Awareness Month, and research at Memorial Sloan Kettering Cancer Center is making more breast cancers treatable. A few years ago, MSK's work led to the first targeted therapy for a form of breast cancer that had almost no options, and this year that treatment was approved for even more people.

22:14Tania Lombrozo: That's the kind of progress that once seemed impossible. Gifts from people like you make these kinds of advances possible. Flexible support gives MSK's researchers the freedom to pursue new ideas and turn them into real treatments for people facing breast cancer. And right now, every donation to MSK is tripled. Give before October 31st and your gift goes three times as far. Give now at msk.org slash TED Talks Daily. This episode is sponsored by Scribd, the knowledge platform home to more than 350 million documents shared by real people. Have you ever gone down a rabbit hole trying to understand something only to realize you've spent more time figuring out where to start than actually learning?

22:56Tania Lombrozo: Whether you're researching an idea, working on a paper, or exploring a question because you're curious, sometimes the right starting point is seeing how someone else approached it. Scribd is a knowledge platform to help you find information, build understanding, and finish projects. Study guides and lecture notes to case studies and research, Scribd brings together knowledge that can help you get started and build your own understanding. Students and educators in the U.S. can take advantage of a discounted Scribd plan with a valid school email. Head to Scribd.com to start your free trial today.

23:29Tania Lombrozo: That's S-C-R-I-B-D dot com. Must be 18 or over.

From the publisher
With more information at our fingertips than ever before, learning should be getting easier ... yet the opposite seems to be true, says cognitive scientist Tania Lombrozo. Drawing on her research into how our minds understand and reason, she explores why more information can actually make learning harder — and shares the critical skill all great learners possess.

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