The Chess Cognition Podcast

0:00 Why Chess Overloads Your Brain1:09 The Intelligence Illusion1:59 Your Working Memory Has a Problem3:10 Why Obvious Blunders Happen4:02 How Strong Players Make Chess Simpler4:37 Schemas: The Secret of Chess Expertise6:10 What Masters See That Beginners Don’t6:38 Why Random Chess Training Often Fails7:20 How to Build Chess Patterns Properly8:08 Why Beginners Need Worked Examples8:44 Gradually Increase the Complexity9:16 How to Reduce Cognitive Load During Games9:59 Build Your Chess Pattern Vocabulary10:36 How to Study for Transfer11:37 Why Memorable Analogies Help12:06 The Real Meaning of Chess Mastery13:05 How I Apply This to Chess TrainingWhy does chess feel so overwhelming, and why do strong players seem to understand a position almost instantly? In this video, I explain how **working memory, cognitive load, schemas, and pattern recognition** influence chess improvement. The real limitation is often not intelligence or calculation ability, but the amount of information your brain is trying to process at once. Strong chess players overcome this by compressing complicated positions into meaningful patterns or “chunks.”You’ll learn why simply calculating more can sometimes make things worse, how masters reduce cognitive load through chess patterns, and how to structure your training so that important ideas actually stick. I also explain how clean examples, worked examples, gradual increases in difficulty, and a strong chess vocabulary can help you recognize patterns faster, avoid blunders, improve chess vision, and make better decisions during your games.

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.