GET BETTER AT ANYTHING by Scott Young | Core Message

Productivity Game
2 Jun 202408:33

Summary

TLDRScott Young's 'Get Better at Anything' outlines a three-step learning cycle: observe, practice, and receive feedback. The video emphasizes the importance of actively copying experts, asking process-oriented questions, and practicing within a 'difficulty sweet spot' to build self-efficacy. It also highlights the value of seeking micro feedback from models and peers to refine skills effectively. Young's book offers 12 maxims for learners, promising rapid progress through example learning, extensive practice, and reliable feedback.

Takeaways

  • 🚴 Learning a new skill involves a three-part cycle: see it, do it, get good at it, and feedback.
  • 👶 As children, we learn by observing, attempting, failing, and receiving guidance, which can be applied to adult learning.
  • 📚 To enhance learning, actively copy and mimic the skills of experts, such as writing by hand or replicating speeches, to notice differences and improve.
  • 🤔 Ask experts to solve problems while explaining their thought process to understand their decision-making and learn the 'if-then' rules.
  • 🏌️‍♂️ Engage in completion exercises to test your knowledge, starting with simpler tasks and gradually increasing difficulty to stay in the 'difficulty sweet spot'.
  • 📈 Use flashcards and spaced repetition for cognitive skills, and practice trigger movements for physical skills to build expertise.
  • 📉 Focus on feedback that is process-oriented rather than outcome-oriented to avoid being misled by temporary success.
  • 📝 Keep a learning journal to document your thought process and seek feedback from experienced individuals or online communities.
  • 🎥 Record yourself performing a skill and have experts evaluate your technique to gain deeper insights into your fundamentals.
  • 🤖 Utilize large computer models for immediate, micro feedback on your skill sequence, such as chess engines or poker GTO models.
  • 📈 Scott Young emphasizes the importance of learning from examples, extensive practice, and reliable feedback for rapid progress in any skill.

Q & A

  • What is the three-part learning cycle mentioned in the script?

    -The three-part learning cycle consists of 'see it', 'do it', and 'get good', which involves observing, practicing, and receiving feedback to improve a skill.

  • How does the script suggest we enhance the 'see it' phase of learning?

    -The 'see it' phase can be enhanced by not just passively watching but actively copying and extracting from the skills of others, such as copying passages from favorite writers to improve writing.

  • What is the purpose of asking experts to solve a problem while thinking aloud?

    -Asking experts to solve a problem while thinking aloud helps to extract their thought process and understand the fundamental rules that guide their decisions and actions.

  • How can mimicking a great keynote speech help improve public speaking skills?

    -Mimicking a great keynote speech allows learners to practice pauses, vocal variety, and delivery, helping them understand the components of an effective speech.

  • Why is it important to remain in the 'difficulty sweet spot' when testing what you've learned?

    -Staying in the 'difficulty sweet spot' ensures that the learner is challenged enough to form new connections for improvement without becoming overwhelmed, thus maintaining self-efficacy and interest.

  • What are completion exercises and how do they help in the learning process?

    -Completion exercises are tasks where learners start with a part of the information and try to complete the rest. They act as scaffolds, helping to build expertise and self-efficacy through frequent small wins.

  • How can flashcards be used to test knowledge of key concepts?

    -Flashcards with keywords missing can be used for spaced repetition, where learners read the cards and try to fill in the blanks, reinforcing memory and understanding of the concepts.

  • What is the significance of seeking feedback on the process rather than just the outcome?

    -Feedback on the process provides insights into the learner's approach and helps identify areas for improvement, whereas outcome-based feedback can sometimes be misleading and not indicative of true skill level.

  • How can large models provide micro feedback for skill improvement?

    -Large models, such as chess engines or poker GTO models, offer immediate feedback on each step of a skill sequence, allowing learners to evaluate their decisions and understand their performance relative to optimal strategies.

  • What is the core message of 'Get Better at Anything' by Scott Young?

    -The core message is that by copying the examples of others, practicing extensively, and getting reliable feedback, one can make rapid progress in learning any skill.

  • What does the script suggest for those who want a summary of insights from the book?

    -The script offers a one-page PDF summary of insights from the book for those interested, which can be obtained by clicking on the provided link and subscribing to the email newsletter.

Outlines

00:00

🚴‍♂️ The Learning Cycle for Skill Improvement

This paragraph introduces the concept of a three-part learning cycle for mastering any skill, as outlined by Scott Young in his book. The cycle consists of observing (seeing), practicing (doing), and refining (getting good). Feedback plays a crucial role in this process. The author uses the example of learning to ride a bike to illustrate how children naturally follow this cycle. As adults, we can enhance each step using the latest learning research. For instance, improving writing by copying passages from favorite authors, public speaking by mimicking great speeches, and programming by writing code exactly as it's written. The key is to think like a skilled practitioner and ask experts to solve problems while explaining their thought process. This helps in extracting vital 'if-then' rules that underpin the skill.

05:01

📈 Enhancing Feedback for Skill Mastery

The second paragraph delves deeper into the feedback component of the learning cycle. It emphasizes the importance of focusing on the process rather than just the outcome. Outcome-based feedback can be misleading, as it may not accurately reflect the quality of one's skills. To counter this, the author suggests keeping a learning journal to document the application of skills and seeking feedback on the process from peers or experts. Additionally, recording oneself while executing a skill and sharing it with experts can provide valuable insights. The paragraph also highlights the utility of large computer models for immediate feedback on skill sequences, such as chess engines, poker GTO models, and golf stroke gain data. These models help in evaluating decisions and understanding areas for improvement. The ultimate goal is to learn from examples, practice extensively, and receive reliable feedback to achieve rapid progress.

Mindmap

Keywords

💡Learning Cycle

The 'Learning Cycle' is a three-part process consisting of 'see it, do it, get good,' which is central to the video's theme of skill acquisition. It starts with observation, followed by practice, and ends with refinement through feedback. The script uses this cycle to illustrate how children learn to ride a bike and how adults can apply it to improve various skills.

💡Feedback

In the context of the video, 'Feedback' is essential for refining skills and understanding one's progress. It is part of the learning cycle where individuals receive guidance on their performance. The script emphasizes the importance of seeking feedback not just on outcomes but also on the process, using examples such as receiving tips after falling off a bike.

💡Self-efficacy

'Self-efficacy' refers to an individual's belief in their ability to succeed in specific situations or accomplish a task. The video mentions it in the context of maintaining motivation and interest in learning a new skill. It is tied to the difficulty sweet spot, where challenges are not too overwhelming nor too easy, thus supporting the development of self-efficacy.

💡Mimicry

Mimicry, as discussed in the script, involves copying the actions or behaviors of others to learn a new skill. It is a method of 'seeing it' in the learning cycle, where one replicates the actions of experts to understand their thought processes, such as copying passages from a favorite writer to improve writing skills.

💡Problem-solving

'Problem-solving' is a cognitive process that the video links to skill improvement. It involves asking experts to think aloud while solving problems, which allows learners to understand the decision-making process. The script provides examples like asking a golfer how they would handle poor performance or giving a programmer a challenging problem.

💡Difficulty Sweet Spot

The 'Difficulty Sweet Spot' is a concept in the video that describes the optimal level of challenge for effective learning. It is where the learner is neither too overwhelmed nor under-challenged, thus promoting the formation of new neural connections and supporting skill improvement, as illustrated by the script with examples like completing exercises in learning a language or programming.

💡Completion Exercises

'Completion Exercises' are a learning technique mentioned in the script where learners start with a partially completed task and then attempt to finish it. This method helps build expertise by providing temporary support, akin to scaffolding, and is used to practice and reinforce newly learned skills, such as writing a story continuation or completing a common phrase in a language.

💡Micro Feedback

Micro feedback, as discussed in the video, is immediate and specific feedback on individual steps or actions within a skill sequence. It is used to refine skills and is provided by large models or experts, helping learners understand their performance in detail, such as getting feedback on every move in a chess game from a chess engine.

💡Fundamentals

'Fundamentals' in the video refer to the basic principles or rules of a skill that, once understood, allow for faster and more effective learning. The script emphasizes the importance of extracting these fundamentals from experts through questions and problem-solving, which forms the basis for performing a skill well.

💡Brain Trust

A 'Brain Trust' in the context of the video is a group of experienced individuals who provide valuable feedback and insights. It is a source of feedback on one's learning process, helping to identify flaws and improve approaches, such as sharing sections of a learning journal with a group of experts for critique.

💡Rapid Progress

'Rapid Progress' is the outcome that the video aims to achieve through the described learning strategies. It is the result of learning from examples, extensive practice, and reliable feedback. The script suggests that by following the learning cycle and applying the strategies discussed, one can make rapid progress in any skill.

Highlights

Scott Young's three-part learning cycle: see it, do it, get good, with feedback.

Learning to ride a bike as a child exemplifies the learning cycle.

Adults can enhance the learning cycle using the latest research.

Copying passages from favorite writers to improve writing skills.

Replicating a great keynote speech to enhance public speaking.

Writing code exactly as written to become a better programmer.

Asking experts to solve problems and explain their thought process.

The importance of asking 'why' to understand key decisions.

Extracting vital 'if-then' rules from experts to perform skills faster.

Staying in the 'difficulty sweet spot' when testing learned skills.

Using completion exercises to practice within the difficulty sweet spot.

Creating flashcards for cognitive skills and testing at spaced intervals.

Seeking feedback on the process, not just the outcome.

Keeping a learning journal for process feedback.

Utilizing large models for micro feedback on skill sequences.

The importance of self-efficacy in sustaining the belief in learning a skill.

Scott Young's 12 maxims for aspiring learners.

Offering a one-page PDF summary of insights from the book.

Transcripts

play00:01

I recently read get better at anything

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by Scott

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young we can get better at anything if

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we follow a three-part learning cycle

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see it do it get good

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feedback as children we learn to ride a

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bike by first observing a parent or

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sibling ride a bike then attempting to

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ride a bike and falling and then getting

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tips from a parent like don't look down

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then we followed the cycle again we

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watched a sibling look forward as she

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rode her bike got back on the bicycle

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and tried to again

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and then received additional tips and

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encouragement this learning cycle

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continued until we demonstrated that we

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could do it well or got frustrated and

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gave up as adults we can use the latest

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learning research to enhance each step

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of the Learning Cycle so we can get

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better at any skill quickly and have

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zero desire to

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quit to improve the first part of the

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cycle don't passively watch people do a

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skill copy exactly and extract

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improve your writing by copying passages

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from your favorite writer by hand while

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copying verbatim you're more inclined to

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notice stylistic choices that differ

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from your own prompting questions that

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will guide your learning enhance your

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public speaking by replicating a great

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keynote speech and recording yourself

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delivering it do it over and over until

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the pauses and vocal variety match the

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expert as you mimic the speech you'll

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better understand the components of a

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great speech become a better programmer

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by writing code out exactly as it's

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written instead of just copy pasting it

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into a reference

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document as you copy the code exactly as

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it is imagine what the programmer was

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thinking as they wrote the

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code copying will get you to think like

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a skilled practitioner but to really

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understand how skilled people think ask

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them to solve a problem while thinking

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allow to extract their

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process if you want to be a better

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golfer ask an expert golfer what they

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would do if they s started hitting the

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ball poorly if you want to be a better

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programmer give an experienced

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programmer a challenging problem and

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then ask them to talk through their

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process be like a curious toddler and

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ask plenty of why questions to

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understand key decisions like why did

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you choose that logic

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function and if you want to be a better

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cook challenge a chef by removing

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ingredients from a recipe and then

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getting them to talk through their

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problem solving process allowed when you

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get confused stop them and ask how did

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you come to that decision or what else

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could you have done

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there experts often skip fundamental

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explanations because their actions and

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decisions seem obvious to them but by

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giving experts problems and then forcing

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them to slow down and explain their

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decisions you can extract the vital if

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then rules that will allow you to

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perform the skill the faster you learn

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the fundamental rules of a skill the

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faster you'll be able to perform that

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skill

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well now after the copy and extraction

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phase you need to test what you've

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learned and when you put your knowledge

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to the test you must remain in the

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difficulty sweet spot because if you

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struggled too much at first your belief

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that you can learn the skill will

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diminish and your interest will Wan

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researchers called this lowering one's

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self-efficacy but if you struggle too

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little you won't trigger your brain to

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form new connections that allow you to

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improve one way to work within the

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difficulty sweet spot is to start

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practicing a skill with completion

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exercises if you're learning how to

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write good stories start copying a

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paragraph from a good short story and

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then close the reference material and

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try to finish it on your own if you're

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learning a language hear the start of a

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common phrase and then try to complete

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it if you're learning poker or chess

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watch a game being played hit pause and

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then guess the next move and if you're

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learning to program have a friend or AI

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remove critical pieces in a section of

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code and then try to fill in those

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sections for most cognitive skills you

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can create flashcards of key concepts

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with keywords missing and then test

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yourself at spaced intervals by reading

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the flashcards and trying to fill in the

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blanks for most physical skills you can

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start with a trigger movement and then

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try to complete the rest of the routine

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in different

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scenarios completion exercises are like

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scaffolds temporary structures used to

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help you build your

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expertise these learning scaffolds are

play04:28

great for Building self self-efficacy

play04:31

because they generate frequent small

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winds that fuel the belief that you can

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learn a

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skill gradually increasing the

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difficulty of completion exercises is

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quite straightforward you just create

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more and more gaps to be filled if you

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deleted one critical step the last time

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delete two this time your goal should

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always be to get roughly four out of

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five completion exercises

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correct Scott young says nothing gives a

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greater boost to our confidence than

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seeing ourselves success

play05:00

Ed now when it comes to the feedback

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part of the Learning Cycle don't just

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focus on how you did but on how you did

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it as you advance in this skill the

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feedback you get can be

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misleading you can write a program that

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runs well with poorly written code you

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can produce a video that goes viral on

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YouTube due to algorithm that quirks

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rather than

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quality relying solely on outcome

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feedback can mislead you into thinking

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your skills like programming skills and

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video production skills are much better

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than they actually are which can lead to

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enormous frustration when your results

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steadily Decline and you don't know

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why that's why for any skill you're

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learning you should do two things seek

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feedback on your process and get micro

play05:46

feedback from large

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models seek feedback on your process by

play05:50

keeping a learning journal and write

play05:52

down how you apply your skill to solve

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problems like how you thought through a

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complex hand in poker or position in

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chess then routinely post sections of

play06:01

your learning journal to Reddit for

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comment or share sections with a Brain

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Trust of experienced people that aren't

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afraid to point out flaws in your

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approach when possible record yourself

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executing a skill while talking through

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your thought process alloud then send

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the video to an expert to

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evaluate if you don't have a deep

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understanding of the fundamentals it

play06:23

will quickly become apparent in your

play06:24

explanation

play06:26

video now the second way to enhance

play06:28

feedback is to get mic feedback from

play06:30

large

play06:31

models utilize large computer models to

play06:34

get immediate feedback on every step of

play06:36

a skill sequence in chess there's chess

play06:39

engine models that tell you if you're

play06:40

winning or losing after every move in

play06:43

poker game theory optimal models GTO

play06:46

models help you evaluate each decision

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you make by telling you if you're making

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the highest probability

play06:52

decision in golf there's something

play06:54

called Strokes gain data that compares

play06:57

your performance to the average

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performance for your skill level so you

play07:00

know if each shot you make is better or

play07:02

worse than average and which area of the

play07:04

game you need to

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improve there are big data models like

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these available for almost any skill

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these days and now with large language

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models like chat GPT you're able to

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periodically explain your process and

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get feedback to refine your

play07:20

approach in the end rather than just

play07:23

seeing doing and reacting to a result

play07:26

copy people who are great and ask them

play07:28

processed questions

play07:30

then practice completion exercises

play07:32

within the difficulty sweet spot so you

play07:34

experience several small winds and

play07:36

sustain your self-efficacy that is you

play07:38

continue to believe you can learn the

play07:39

skill you're trying to learn and then

play07:42

get feedback on your approach from Brain

play07:45

Trust and large models as Scott young

play07:48

says when we're able to learn from the

play07:50

example of other people practice

play07:52

extensively ourselves and get reliable

play07:55

feedback rapid progress results

play07:59

that was the core message that I

play08:01

gathered from get better at anything by

play08:03

Scott young this book includes 12 maxims

play08:06

that every aspiring learner must

play08:08

internalize I highly recommend it if you

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would like a one-page PDF summary of

play08:14

insights that I gather from this book

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just click the link below and I'll be

play08:17

happy to email it to you if you're

play08:19

already subscribed to the free

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productivity game email newsletter this

play08:22

PDF is seting in your

play08:23

inbox if you like this video please

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share it and as always thanks for

play08:27

watching and have yourself productive

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week

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Связанные теги
Learning CycleSkill DevelopmentFeedbackSelf-EfficacyExpertiseMimicryProblem SolvingCompletion ExercisesMicro FeedbackLarge ModelsProductivity
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