The Concrete Examples Effect: Why Specific Examples Make Abstract Books Click

Quick Answer: The concrete examples effect is the well-documented finding that people learn abstract concepts dramatically better when they pair the concept with a specific, concrete example — especially one they generate themselves. In learning-science studies, students who generated their own examples outperformed control groups by 50 percent or more on application questions. To use it while reading: after each major idea, pause and write one example from your own life that the concept explains. The example does not need to be perfect; the act of generating it does most of the work.

You are reading a chapter on behavioral economics. The author explains the concept of loss aversion: people feel the pain of losing something more strongly than the pleasure of gaining something of equal value. You nod along. It makes sense. You move on to the next section.

Three weeks later, someone asks you about loss aversion. You know you read about it. You can almost recall the definition. But you cannot explain it clearly, and you certainly cannot use it to analyze a real situation. The concept entered your mind as an abstraction and left as one.

Now imagine a different reading experience. Same concept, but this time you paused after reading the definition and generated your own example: "This is why I kept my gym membership for eight months after I stopped going. Canceling felt like losing something I had, even though keeping it was costing me sixty dollars a month for nothing." Suddenly, loss aversion is not an abstract principle. It is the thing that explains your gym membership. And that version of the concept stays with you.

This is the concrete examples effect, and it is one of the most robust findings in learning science.

What the Research Shows

The concrete examples effect refers to the well-documented finding that people learn abstract concepts significantly better when those concepts are paired with specific, concrete examples — especially examples they generate themselves.

A series of studies by Rawson and colleagues demonstrated that students who generated their own examples for abstract concepts scored substantially higher on later tests than students who only studied the definitions. The effect held across multiple domains, from psychology to philosophy to economics.

The size of the effect is noteworthy. In a 2013 study published in the Journal of Educational Psychology, students who practiced generating concrete examples outperformed control groups by margins of 50 percent or more on questions requiring them to apply the concepts in new situations. This is not a subtle effect. It is one of the largest and most consistent findings in the learning strategies literature.

What makes the concrete examples effect particularly interesting is that it works even when the examples are imperfect. A somewhat inaccurate example that connects the concept to personal experience often produces better learning than a textbook-perfect example that remains abstract. The act of generating the example is as important as the quality of the example itself.

Why Concrete Examples Work: The Cognitive Mechanisms

They Create Multiple Retrieval Pathways

When you store an abstract concept in memory, you create a single retrieval pathway — essentially one route back to that information. When you connect it to a concrete example, you create additional pathways through the specific details of the example: the gym, the sixty dollars, the eight months of inaction.

Later, any of these specific details can trigger retrieval of the underlying concept. You see a gym membership ad and think of loss aversion. You review your bank statement and notice a subscription you are not using — loss aversion again. Each concrete connection creates a new doorway into the abstract idea.

This is related to what memory researchers call encoding specificity. The more specific and distinctive your encoding, the more retrieval cues you create, and the more easily you can access the information later. Spaced repetition works better when the initial encoding is rich and concrete because there is more material for each retrieval attempt to strengthen.

They Force Deeper Processing

Generating a concrete example is cognitively demanding in a way that simply reading a definition is not. You must understand the concept well enough to recognize it in a new context, then search your memory for a situation that fits, then verify that your example actually illustrates the principle correctly.

This multi-step process pushes you from shallow processing (recognizing the words) to deep processing (understanding the meaning well enough to apply it). As the levels of processing framework demonstrates, deeper processing at encoding produces more durable memories.

If you try to generate an example and fail, that failure is itself valuable information. It tells you that your understanding is more shallow than you thought — the exact kind of gap detection that the self-explanation effect capitalizes on.

They Bridge the Abstract-Concrete Gap

Abstract concepts and concrete experiences are processed differently by the brain. Abstract reasoning engages prefrontal areas involved in logical thinking. Concrete experiences engage sensory and episodic memory systems that create vivid, accessible memories.

When you connect an abstract concept to a concrete example, you engage both systems simultaneously. The concept gets encoded not just as a logical proposition but as a lived experience. This dual encoding — similar in spirit to dual coding theory — creates a richer and more retrievable memory trace.

How to Use Concrete Examples While Reading

The Pause-and-Exemplify Method

This is the simplest and most effective technique. After reading a key concept, stop and ask yourself: "When have I experienced this? Can I think of a specific situation from my own life, work, or reading where this principle was at work?"

The example does not need to be perfect. It does not need to be elegant. It needs to be specific and personal. "This is like what happened when..." is the phrase that triggers concrete example generation.

Here is the process:

1. Read a paragraph that introduces or explains an abstract concept
2. Pause before continuing
3. Without looking back at the text, state the concept in your own words
4. Generate one specific example from your own experience
5. Check whether your example actually fits the concept or whether you have distorted it
6. If you cannot generate an example, re-read the passage — your understanding may be shallower than you thought

The checking step (step 5) is important. Sometimes you generate an example that feels right but actually illustrates a different concept. Catching this error corrects your understanding in real time. If your gym membership example was really about the sunk cost fallacy rather than loss aversion, noticing that distinction sharpens your grasp of both concepts.

The Two-Example Minimum

For the most important concepts in a book — the ideas that form the backbone of the author's argument — generate at least two concrete examples. The first example confirms that you can apply the concept. The second example tests whether your understanding generalizes beyond one specific situation.

If both examples come from the same domain (both from work, or both from personal finance), push yourself to find a third example from a different domain. Concepts that you can exemplify across multiple domains are concepts you truly understand, not just concepts you have pattern-matched to one context.

Drawing from Different Sources

Your examples do not need to come only from personal experience. They can come from several sources.

Personal experience: The most powerful source because personal relevance triggers the self-reference effect, one of the strongest memory enhancers known. "This happened to me when..." creates memories that are both concrete and emotionally meaningful.

Other books you have read: Connecting a concept from the current book to an example from another book is a form of cross-book synthesis that strengthens both memories. "This is exactly what Kahneman describes when..." creates a link between two knowledge networks.

Current events or public examples: Using examples from news, business, or culture that you and others would recognize. These are particularly useful if you plan to discuss the book because they provide shared reference points.

Hypothetical scenarios: When you cannot think of a real example, construct a plausible scenario. "Imagine a manager who..." is not as powerful as a real example, but it still forces the kind of applied thinking that deepens processing.

Writing Examples in the Margins

If you are reading a physical book, writing your concrete examples in the margins transforms passive annotation into active learning. Your marginalia becomes a personalized layer of examples that make the book's abstract arguments concrete and memorable.

For digital reading, use your highlight notes to capture examples alongside the passages they illustrate. When you later review your highlights with a tool like Chapterly, you encounter not just the original text but your own concrete connections to it, which triggers deeper recall than the passage alone.

When Concrete Examples Fail

The concrete examples effect is robust, but there are situations where it can backfire. Understanding these failure modes helps you use the technique more effectively.

Surface Similarity Traps

Sometimes an example shares surface features with a concept without capturing the underlying principle. A student learning about positive reinforcement might generate the example "my boss praised me and I felt good," which captures the emotional experience but misses the key mechanism: that the praise increased the frequency of the praised behavior. If the student focused on feeling good rather than behavior change, the example reinforces a shallow understanding.

The fix is to check your example against the concept's definition, not just its general feeling. Does your example illustrate the mechanism, or just the outcome? This checking step takes ten seconds and prevents surface-level examples from substituting for genuine understanding.

The Seductive Details Problem

Research on seductive details shows that vivid, interesting examples can sometimes distract from the underlying principle. If your example is a great story, you might remember the story and forget the concept it was supposed to illustrate.

This is less of a problem with self-generated examples than with author-provided ones, because you are consciously connecting the example to the principle. But it is worth checking: when you recall your example later, can you still articulate the abstract concept it represents? If you remember the gym membership but not loss aversion, the example has become detached from its conceptual anchor.

When Abstraction Is the Point

Some concepts are best understood at an abstract level, and forcing them into concrete examples can actually reduce understanding. Mathematical proofs, formal logic, and high-level theoretical frameworks sometimes need to be grasped in their abstract form to be truly understood.

The concrete examples effect is most valuable for concepts that are meant to apply to the real world — behavioral principles, mental models, practical frameworks, strategic insights. For purely formal or theoretical concepts, example generation can sometimes be counterproductive. Use your judgment about whether a concept is the kind that benefits from grounding or the kind that needs to remain abstract.

Combining Concrete Examples with Other Strategies

The concrete examples effect integrates naturally with several other evidence-based reading strategies.

With active recall: After generating examples during reading, test yourself later by trying to recall both the concept and your examples. The examples serve as retrieval cues that make the concept more accessible.

With elaborative interrogation: Ask "why does this work?" about your concrete example, not just about the abstract concept. Explaining why the gym membership illustrates loss aversion deepens your understanding of the mechanism beyond what either technique produces alone.

With spaced repetition: When reviewing concepts at spaced intervals, generate a new example each time rather than just recalling your original one. This progressive example generation tests whether your understanding has deepened and creates an expanding network of concrete connections to each concept.

With the Feynman technique: When explaining a concept in simple language, lead with a concrete example. The example grounds your explanation and reveals immediately whether you understand the concept well enough to connect it to the real world.

Getting Started

The simplest way to start is to apply the concrete examples effect to the very next nonfiction book you read. Pick up the book, read until you encounter an abstract concept, and pause to generate one specific, personal example.

You will notice three things immediately. First, generating examples takes effort. This is the desirable difficulty that produces learning. Second, some concepts are easy to exemplify and others are stubbornly abstract. The difficult ones are where your understanding is weakest and where example generation is most valuable. Third, the concepts you exemplified will be dramatically easier to recall days and weeks later compared to the ones you simply read past.

The research is consistent and the investment is minimal: a few seconds of thought per concept. For any reader who has ever finished a book and struggled to recall its main ideas, the concrete examples effect offers one of the most efficient fixes available. Stop reading past abstract ideas. Stop nodding along. Stop and generate an example. That is where understanding begins.

Frequently Asked Questions

What is the concrete examples effect?

The concrete examples effect is the well-documented cognitive science finding that abstract concepts become significantly more memorable and comprehensible when paired with specific, concrete examples. Research shows that generating your own examples — rather than using examples provided by the author — produces even stronger learning benefits because it requires you to actively connect the abstract principle to your own experience and existing knowledge. The mechanism is elaborative encoding: concrete details create more retrieval pathways to the abstract concept.

Why do self-generated examples work better than author-provided ones?

When you read an author's example, you engage in recognition — you verify that the example fits the concept. When you generate your own example, you engage in construction — you must actively apply the concept to a situation from your experience, which requires deeper understanding. This generative process, which cognitive scientists call "desirable difficulty," creates stronger memory encoding. You also tend to remember your own examples better than someone else's because they connect to your personal history, which provides a rich web of associated memories.

How many examples should I generate per concept?

One good concrete example per key concept is sufficient to significantly improve retention. The quality of the example matters more than the quantity. A good example clearly illustrates the underlying mechanism — not just the surface outcome — and comes from your own experience or a situation you can vividly imagine. If you find yourself struggling to generate an example, that struggle is diagnostic: it reveals that you understood the words without grasping the concept, which is exactly when the exercise is most valuable.

Does the concrete examples effect work for highly technical or mathematical content?

It works, but the examples look different. For mathematical concepts, numerical examples with specific values are more effective than abstract symbolic representations. For technical concepts, worked-case examples that apply the principle to a realistic scenario are most useful. The general principle holds: concrete is more memorable than abstract across all domains. The challenge with technical material is ensuring that your examples capture the underlying mechanism rather than surface features, which requires paying careful attention to what the concept is actually about.

How does generating examples fit into a reading workflow?

The most practical approach is to pause at the end of each chapter section and mentally generate one example for the most important concept you encountered. Write it in your margin or in your notes app alongside the relevant highlight. When you review those highlights later using spaced repetition, your personal example serves as a retrieval cue that makes the abstract concept accessible. This takes roughly thirty seconds per concept and produces retention improvements that far exceed what additional reading time would provide.