Examples of the Feynman Technique Applied to Abstract Concepts

Explaining entropy to a classmate with a messy-room analogy sounds easy until you try to do it without using the word “mess.” That’s where the Feynman method stops being theory and becomes a real test of understanding. Abstract concepts —entropy, economic inflation, mathematical functions, existentialism— are the ones that resist simplification the most, and that’s exactly why they’re the best ground to see whether you truly understand something or just recognize it when you read it.

This article brings together Feynman method examples for difficult concepts applied to topics that usually cause mental blocks. If you already know the 4 steps of the method explained, here you’ll see how they translate into practice when the topic doesn’t have a clear image behind it.

Why abstract concepts are the biggest challenge for the Feynman method

A concrete concept like “photosynthesis” has visible parts: leaves, light, molecules. An abstract concept like “market equilibrium” or “mathematical limit” has no physical image to hold onto. Your brain can’t rely on sensory perception, so it tends to memorize the definition word for word without having built a real mental model.

The Feynman method forces you to break that surface-level memorization because it requires finding an everyday analogy or example. If you can’t find one, that’s the clearest sign there’s a gap. To dig deeper into that diagnosis, it’s worth reviewing how to detect knowledge gaps with the Feynman method.

Practical case 1: explaining entropy without technical jargon

A student tries to explain entropy like this: “it’s a thermodynamic quantity that measures the degree of disorder of a system.” It sounds correct, but it’s a textbook sentence, not an explanation of their own.

Applying Feynman for real, the explanation changes: “Imagine your room. If you leave your clothes scattered around, there are countless ways for them to end up scattered, but only one way for them to be neatly arranged in the closet. Nature tends toward the states that have more possible ways of occurring, which is why things tend toward disorder without anyone pushing them.” Here the word “entropy” isn’t used at all, nor any formulas: the concept is translated into the probability of states, which is what’s really behind it.

• Identify which technical word was being used as a crutch (“disorder”).
• Replace it with an everyday situation that follows the same internal logic.
• Check that the analogy also explains why the process doesn’t happen spontaneously in reverse.

Practical case 2: economic inflation explained to a 10-year-old

The textbook definition says inflation is “the sustained and generalized increase in the price level.” It’s correct, but it doesn’t demonstrate understanding: it’s a memorized sentence.

Feynman version: “Imagine that everyone in your class starts getting more candy-trading cards. Since there are way more cards circulating, each card is worth less, and to get the same piece of candy now you need to give away more cards than before. That’s what happens with money: if there’s a lot more money circulating but the same amount of things to buy, each unit of money is worth less and you need more of it to buy the same thing.” This version connects to a real trading experience, not an abstract formula.

Practical case 3: mathematical functions and the limit in calculus

The limit of a function is usually explained with intimidating notation before it’s even understood. The common trap is repeating “the limit is the value the function approaches” and nothing more.

Real simplified explanation: “Imagine you’re walking toward a closed door. With each step you cover half the remaining distance. You never actually touch the door, but you get closer and closer each time, and we know for certain which point you’re approaching even though you never reach it. That point you approach, without necessarily arriving, is the limit.” This analogy forces you to distinguish between “approaching” and “arriving,” which is exactly the key mathematical difference between the limit and the value of the function at that point.

Practical case 4: existentialism without philosophical jargon

Phrases like “existence precedes essence” sound profound but say nothing if you can’t translate them into something tangible.

Simple version: “A knife is made with a clear purpose: to cut. Its function exists before it does. But a person is born first, without an instruction manual, and decides through their actions what kind of person they are. They don’t come with a factory-set purpose; they build it by living.” This comparison between a manufactured object and a person is exactly the kind of bridge that simplifying without losing precision requires, a balance that is also covered in how to simplify without losing precision.

What these case studies have in common

Analyzing these practical Feynman method cases reveals a repeated pattern:

• Every technical word is replaced with a familiar physical or social situation.
• The analogy doesn’t just describe, it also explains the mechanism (why it happens, not just what happens).
• The analogy is tested against edge cases: does it still work in extreme situations of the original concept?
• If the analogy breaks down at some point, that breakdown points exactly to where depth is missing.

How to build your own analogy for an abstract concept

You don’t need a special creative mind. Follow this mental process:

• Write down the full formal definition, exactly as it appears in your notes.
• Underline every word that is itself technical or requires another definition.
• For each underlined word, ask yourself: what does this actually do in real life, beyond the name we give it?
• Look for an everyday situation where that same mechanism occurs, even if the context is completely different.
• Explain the concept using only that situation, without going back to the original technical word.

This exercise works much better if you have already tried explaining the concept out loud, something covered in more detail in practicing the Feynman method in writing vs out loud.

Turn every analogy into active review material

A brilliant analogy that only exists in your head for five minutes isn’t much use right before an exam. It’s worth saving it in a format that forces you to recall it from memory later on, not just reread it.

For this it’s useful to create your own question/answer flashcards with the technical question on one side (“What is entropy?”) and your own analogy on the other. Automatic spaced repetition based on your hits and misses will bring that card back to you right when it starts to fade from memory, so the analogy stays fixed in long-term memory instead of evaporating the day after the exam.

Common mistakes when simplifying abstract concepts

Not every analogy works. There are three failures that show up constantly when someone starts applying Feynman to difficult topics:

• Swapping the technical word for an equally vague synonym, without actually getting down to the mechanism.
• Choosing an analogy that breaks as soon as you’re asked a detail beyond the surface.
• Stopping at the analogy without later checking that it’s still faithful to the formal definition.

These and other common mistakes are explained with more examples in common mistakes when applying the Feynman method, useful content to review before considering your own explanation good enough.

Frequently asked questions

Why are abstract concepts harder to explain with the Feynman method?

Because they have no direct physical reference to hold onto. A concrete concept can be pointed at or drawn; an abstract one requires building a mental bridge to something familiar, and that bridge is exactly what reveals whether you understand the mechanism or just the label.

How do I know if my analogy is actually good or just sounds good?

Test it against an edge case or an uncomfortable question related to the concept. If the analogy keeps explaining that extreme case without breaking down, it probably captured the real mechanism. If it falls short, it still needs refining.

Is it valid to use the same analogy for several similar concepts?

It can be a good starting point, but each concept usually has its own nuances. Reusing an analogy without adapting it can make you believe you understand two different ideas when in reality you only master one of them.

How much time should I spend finding a good analogy?

There’s no universal fixed time, but if you’ve spent more than ten minutes without finding any connection to something everyday, it’s better to go back to your original notes: you probably need more prior understanding of the basic mechanism, not more creativity.

Does the Feynman method work equally well for science and humanities topics?

Yes. The examples with entropy and mathematical limits show its use in science, while the existentialism case shows it works just as well with philosophical or social ideas, as long as you translate the concept into a recognizable mechanism.