0:00 Mistakes Look Obvious Afterwards01:00 The Hindsight Bias2:10 Why Your Brain Rewrites the Past2:41 How Engines Contaminate Your Analysis3:47 A Painful Example From My Own Game6:02 What to Do Before Turning On the Engine7:22 Introducing the SCAN Method10:25 Finding the Real Cause of a Mistake11:53 The True Purpose of Game AnalysisWhy do your chess mistakes suddenly look obvious the moment the engine reveals the best move? The answer may be hindsight bias—a cognitive bias that causes us to see past events as more predictable than they really were. When you turn on Stockfish immediately after a game, the engine gives you the evaluation, the correct move, and the tactical solution within seconds. But once you know the answer, it becomes much harder to remember what you actually saw, considered, calculated, and understood during the game.In this video, I explain how hindsight bias can undermine chess improvement and show you a better way to analyze your games with an engine. You will learn how to reconstruct your original thinking before checking the computer and how to use the SCAN method to diagnose the real cause of a mistake: Did you see the critical feature, consider the right candidate move, analyze it correctly, and understand the resulting position? The goal is not simply to discover the best move, but to uncover the blind spots, calculation errors, evaluation mistakes, and knowledge gaps that prevented you from finding it.

00:00 Why Puzzle Skill Disappears in Real Games00:59 What Is Transfer in Chess Training?01:50 The Study That Changed How We Understand Practice03:18 Why Harder Practice Produces Better Learning03:45 The Hidden Problem With Themed Chess Puzzles04:24 Advantages of Blocked Practice04:49 A Three-Phase Method for Training Tactics05:19 Why Mixed Puzzles Still Aren’t Game-Like Enough05:55 Training Recognition Under Real-Game Conditions06:30 Courses Involving Interleaving07:42 How Would You Help Shaquille O'Neal Improve His Free Throws? Why do some chess players achieve extremely high puzzle ratings but still struggle to find tactics in real games? In this video, I explain the learning science concepts of blocked practice, interleaved practice, and transfer, and show why repeatedly solving the same type of chess puzzle can yield impressive training results without necessarily improving over-the-board performance. Using the famous Rohrer and Taylor study, we explore why difficult, mixed practice may feel less effective in the moment, but produce stronger long-term learning and better pattern recognition.You’ll learn a practical three-phase approach to chess tactics training: first build new tactical patterns through blocked practice, then mix forks, pins, skewers, and discovered attacks through interleaving, and finally practise with game-like positions where you do not know whether a tactic exists at all. This method can help you recognise what kind of position you are facing before you begin calculating—the skill that real chess actually demands. If your chess puzzle rating is much higher than your online or OTB rating, this video may explain why.Scientific Reference: Rohrer, D., & Taylor, K. (2007). The shuffling of mathematics problems improves learning. Instructional Science, 35, 481–498.

00:00 Correct Advice Can Be Useless00:59 Slogans vs. Thinking Tools02:06 Curse of Knowledge02:57 Why Advice Depends on Your Level03:41 Turn Chess Advice Into If–Then Rules05:02 CLAMP: A Thinking Routine for Preventing Blunders06:07 Three Questions That Make Advice Actionable06:34 Example: How to Activate Your King07:05 Example: How to Play in Pawn-Storm Positions08:30 Building a System for Positional PlayWhy does so much chess advice sound intelligent but fail to help during a real game? Phrases such as “improve your position,” “activate your king,” and “don’t rush in a winning position” may be correct, but they often describe the goal without explaining the thinking process required to achieve it. In this video, we explore the cognitive science behind vague chess advice, the curse of knowledge, expert thinking, chess patterns, and production rules. You will learn why strong players can apply compressed advice automatically, while beginners and intermediate players may struggle to turn the same advice into concrete moves.The video introduces a practical three-question method for transforming general chess principles into actionable thinking tools: When should I think about this? What exactly should I look for? What action does it suggest? Through examples such as king activation, opposite-side castling attacks, positional improvement, and the CLAMP blunder-checking system, you will learn how to create clear if–then procedures that improve your chess decision-making. Instead of collecting more chess slogans, this approach helps you build structured thinking routines that can reduce blunders, improve positional play, and make your chess training more effective.

00:00 Intro01:20 4 Questions03:35 Chess Example 105:06 The Remedy 105:58 Chess Example 207:37 Wishful Thinking08:46 The Remedy 209:53 Training Tips10:48 Error LogWhy do chess players keep making the same mistakes even after analyzing their games with an engine? Computer analysis can show you where the evaluation changed, but it cannot explain why your thinking process failed. In this video, we introduce the idea of a **cognitive autopsy**—a practical method for understanding the mental cause behind every chess mistake.You will learn to analyze your errors using four questions: **Did I see it? Did I consider it? Did I calculate (analyse) it? Did I understand it?** These questions help distinguish between problems with perception, candidate-move generation, calculation/analysis, and evaluation. Through practical examples from student games, the video demonstrates why two players can make the same chess mistake for completely different reasons, and therefore require completely different forms of training.You will also learn how to create a simple chess error log that records both the type of mistake and its cognitive cause. Instead of relying on generic chess training, you can identify the actual bottleneck in your thinking and choose exercises that directly target it.

00:00 Why the Same Chess Lesson Produces Different Results01:27 Prior Knowledge: The Mental Hooks That Make Ideas Stick02:23 Chess Knowledge as a Network03:16 Chess Example: Why the Minority Attack Confuses Some Players04:34 Why Good Chess Advice Can Arrive Too Early06:00 How Multiple Contexts Create Flexible Knowledge07:06 Chess Example: Learning the Pin08:48 Spiral Learning: Revisiting Ideas at a Deeper Level09:46 Chess Example: Pawn Breaks Can Also Create Weaknesses10:15 Why Reviewing Basic Chess Concepts Still Matters11:27 How to Make Chess Lessons StickWhy do two chess students watch the same lesson, pay equal attention, and get completely different results? In this video, we explore how prior knowledge shapes chess improvement and why new ideas often fail to stick when they have nothing to connect to. Using insights from cognitive science and educational psychology, we examine how long-term memory, mental “hooks,” pattern recognition, and knowledge networks determine whether a chess lesson becomes usable over the board or quickly disappears.You will also learn why random chess advice can arrive too early, how multiple focused exposures create flexible understanding, and why spiral learning is more effective than studying a concept once and moving on. Whether you are an adult chess improver, coach, or course creator, this video offers practical ways to build stronger foundations, study chess concepts in the right sequence, and turn passive understanding into knowledge you can actually apply in your games.SCIENTIFIC REFERENCES: Nuthall, G. (2007). The Hidden Lives of Learners. NZCER Press.Chi, M. T. H., Feltovich, P. J., & Glaser, R. (1981). "Categorization and representation of physics problems by experts and novices." Cognitive Science, 5(2), 121-152.Schmidt, R. A., & Bjork, R. A. (1992). "New conceptualizations of practice: Common principles in three paradigms suggest new concepts for training." Psychological Science, 3(4), 207-217.Harden, R. M., & Stamper, N. (1999). "What is a spiral curriculum?" Medical Teacher, 21(2), 141-143.Dochy, F., Segers, M., & Buehl, M. M. (1999). "The relation between assessment practices and outcomes of studies: The case of research on prior knowledge." Review of Educational Research, 69(2), 145-186.Gobet, F. (2019). The psychology of chess. Routledge. https://doi.org/10.4324/9781315441887

00:00 Intro00:41 Recognition Trap02:16 Recognition vs. Retrieval04:05 Testing Effect/Retrieval Practice04:22 Generation Effect05:15 Why Most Chess Content Doesn’t Transfer05:37 Three Ways to Train for Real Improvement06:19 Generation Effect: Recreate Positions From Memory07:29 Testing Effect: Use Random Review and Flashcards08:02 Interleaving: Mix Up Themes08:44 Why Mixed Practice Builds Transfer09:43 Choose Retrieval Over RecognitionWhy do chess players binge-watch grandmaster lessons, feel like they understand everything, and then still blunder in their own games? In this video, we explore one of the biggest hidden traps in chess improvement: the recognition trap. This is the beginning of a new series on chess improvement, educational psychology, and cognitive science, where we will look at how people actually learn chess — and why many common training methods fail to produce real improvement.Through the lens of cognitive science, we explain the difference between simply recognizing good chess ideas and actually being able to retrieve and apply them under pressure. You’ll learn why passive chess study often creates the illusion of improvement, why clear explanations can fool your brain into thinking you have mastered a concept, and how principles like retrieval practice, the testing effect, the generation effect, desirable difficulties, interleaving, and discrimination learning can help you build real chess skill.We also cover three concrete ways to improve your chess training: recreating opening positions from memory, using random review and flashcards based on your own games, and mixing tactics, endgames, positional decisions, and defensive resources instead of relying on blocked practice. More videos in this series will follow, helping you study smarter, reduce blunders, escape rating plateaus, and turn chess knowledge into practical over-the-board skill.

00:00 Intro00:51 The Learning Illusion01:55 Prior Knowledge: Why Adults Need the "Why"03:03 Working Memory: Your Brain's Biggest Bottleneck04:24 Worked Examples vs. Discovery Learning06:27 Desirable Difficulty: Why Comfort Zones Kill Progress07:23 The Illusion of Transfer: Bridging the Gap Between Study and Play08:44 Metacognition and Targeted Training09:58 SummaryWhile children have real advantages like pattern absorption, unlimited time, and fearless play, adults possess a different set of strengths that are often overlooked. The key isn't to compete with kids on their terms, but to leverage how adult brains actually learn. Children are pattern machines who improve through massive exposure, but adults are optimization engines who excel at reasoning, reflection, and structured learning. Understanding this difference is the first step to unlocking your true potential.Adult brains work differently. They need meaning and context to build lasting memory, benefit enormously from worked examples over blind discovery, and improve fastest when cognitive load is reduced through structured training. While working memory declines with age, adults can compensate through superior metacognition: keeping blunder journals, identifying recurring mistakes, using checklists, and designing targeted practice. Research in educational psychology consistently shows that novice adult learners benefit more from studying worked examples than solving problems from scratch. The path to adult chess improvement isn't about volume—it's about architecture. Adults need compression, structure, and high-quality practice that bridges the gap between study and real games. By focusing on causal understanding, desirable difficulty, retrieval practice, and self-awareness, adult players can transform their supposed disadvantages into powerful advantages.

00:00 Intro04:02 Beating Magnus Carlsen in Blitz07:15 Feedback and Course Development09:11 How Kamil Found Chessable14:50 Winning Best Author Support Awards22:45 A Typical Day in Kamil's Life29:47 Typical Author Mistakes 37:39 Creating Problems for Both Sides43:46 Chessable's Evolution51:29 Kamil's New Course: 1.e4 LTR01:01:10 Grenke Chess and European Individual Championship01:19:38 Everybody is a Fighter These DaysThis podcast episode features FM Kamil Plichta, one of Chessable’s most recognizable opening authors, known for his tricky sidelines, practical repertoires, humor, and unusually strong course support. Kamil explains how his opening philosophy is built around creating early problems for the opponent, avoiding predictable main lines, and choosing positions where both sides may feel uncomfortable—but where he has more experience. He also shares how he became a Chessable author, how his course-making process evolved, why good explanations matter more than endless variations, and how he thinks about target audiences, quick starters, model games, and long-term course support.The conversation also explores Kamil’s return to over-the-board chess, including his recent tournaments, the challenges of modern preparation, rating deflation, defensive weaknesses he discovered in his own play, and his ambition to become an International Master. Along the way, he discusses beating Magnus Carlsen in blitz, the changing landscape of Chessable, why blitz can be useful for some players, and his new 1.e4 repertoire course against the Sicilian. This is a funny, honest, and practical conversation about openings, chess improvement, authorship, and the realities of competitive chess today.

00:00 Intro04:38 Does this only apply to grandmasters?07:25 Quiet positions vs Chaos11:00 Play the pieces, not the player?16:50 Nothing to Lose Mentality23:15 The TRAP framework35:00 Cognitive Biases in Chess44:57 Mistakes to Avoid against Stronger Players54:42 The Impact of Chessable on TeachingIn this episode, I sit down with FIDE Master Niranjan Navalgund to explore a question that fascinates many ambitious players: how do you beat stronger opponents, especially grandmasters? We discuss the ideas behind his Chessable course How to Beat a Grandmaster, which focuses less on openings and theory and more on the practical and psychological realities of facing higher-rated players. Niranjan explains why this topic matters for everyone, not just those paired against titled players, because the same emotional patterns often show up whenever we face someone we perceive as “stronger.” We talk about pressure, authority bias, over-respect, risky overpressing, time trouble, and the need to stay objective instead of chasing perfect chess.The conversation also widens into coaching, learning, and chess culture. Niranjan shares the framework behind his course, including his TRAP model—Time trouble, Risky overpushes, Ambushes, and Psychology—and explains how stronger players can become vulnerable when they feel pressured to win. We connect this to broader ideas from cognitive science, practical tournament preparation, and even Indian philosophy, showing how mindset shapes performance before a single move is played. Along the way, we also discuss Chessable course design, how to teach adults without overwhelming them, and why good chess improvement depends not only on knowledge, but on learning how to think, prepare, and respond under pressure.

Lars' Chessable Courses: https://www.chessable.com/author/LarsSchandorff/00:00 Intro01:00 How Lars Creates His Opening Courses07:31 The First Key Decision When Creating an Opening Course15:03 The Importance of Openings in Chess18:46 A Story About Rook Endgames21:43 Where to Stop in an Opening Course25:47 Chess as a Lifestyle: Freedom and Identity27:52 Can Beginners Benefit from His Courses?34:33 The Role of Engines in Modern Chess Preparation40:13 His Weekly Radio Show 'Nimzowitsch'45:19 The Cultural Significance of Chess in Literature50:46 Nimzowitsch's Influence55:32 Chess Improvement in Modern Times58:40 How GM Schandorff Coaches People1:03:29 Future Plans and CoursesIn this engaging interview, Danish chess author GM Lars Schandorff shares insights into his successful courses, the art of opening preparation, and the cultural significance of chess. Lars has recently become the Chessable Author of the Year 2025, and that is very inspiring.We discussed the following topics:Lars Schandorff's approach to creating accessible and deep chess coursesThe importance of opening repertoire and strategic choicesThe influence of Nimzowitsch on modern chess ideasThe role of technology and engines in chess preparationThe cultural and historical significance of chesskeywordsChess, Chess Courses, Opening Repertoire, Chess Strategy, Chess Culture, Chess History, Chessable, Nimzowitsch, Chess Improvement, Chess Tools, Lars Schandorff