Book in one sentence: The study methods that feel most productive (rereading, highlighting, cramming) are among the least effective, and the strategies that feel hardest are the ones that actually build lasting skill.
- What Is Make It Stick About?
- Why Do Our Go-To Learning Methods Fail?
- What Actually Works: The Core Strategies
- How Does This Apply to Changing Eating Behavior?
- Is Make It Stick Worth Reading?
- Books Like Make It Stick
What Is Make It Stick About?
You’ve read the nutrition advice. You’ve taken the notes. You’ve highlighted the key passages. Then Tuesday comes around and you’re standing in the kitchen doing exactly what you always do, the book still sitting on the counter. Not because you’re lazy or unmotivated. Because rereading is not learning.
That’s the central claim of Make It Stick, written by cognitive scientists Henry Roediger and Mark McDaniel (both at Washington University in St. Louis, both with decades of published memory research) alongside narrative writer Peter Brown. The book pulls from a decade-long research collaboration funded by the James S. McDonnell Foundation, covering how the brain encodes, consolidates, and retrieves knowledge. It’s not pop psychology. It’s a translation of serious experimental science into something you can actually use.
The book’s argument is blunt: the strategies most people rely on create an illusion of learning without the real thing. And the strategies that actually work feel slower, harder, and less satisfying. This gap, between what feels productive and what produces results, explains why so many change efforts fail despite real effort and good intentions.
Why Do Our Go-To Learning Methods Fail?
Picture a UCLA professor who had been in the same building for 25 years. Researchers asked him to locate the nearest fire extinguisher. He walked right past it. It was inches from his office door. He’d seen it hundreds of times and retained nothing.
Repetition without retrieval is largely wasted effort. The brain needs more than exposure. It needs to actively reconstruct what it knows, and the struggle of that reconstruction is precisely what makes memory durable. As the authors write: “Learning is deeper and more durable when it’s effortful. Learning that’s easy is like writing in sand, here today and gone tomorrow.”
The deeper problem is that ineffective strategies generate a feeling of competence. Rereading the same passage until it sounds familiar, highlighting whole paragraphs because they feel important, watching the same demo video twice because it went smoothly the second time. All of this produces what researchers call the fluency illusion, where recognition masquerades as mastery. The material feels known. Until the moment you actually need it.
This is why more than 80 percent of college students cite rereading as their primary study strategy, and why it persists: it feels like work. It feels like progress. The brain’s System 1 (fast, automatic, pattern-matching) generates a comfortable sense of knowing based on mere familiarity, while System 2 (the slow, deliberate evaluator) accepts that verdict without checking. The result is a learner who feels prepared and isn’t.
What Actually Works: The Core Strategies
The research points to four strategies that consistently produce durable, flexible learning. None of them feel as smooth as rereading.
1. Retrieval Practice
Testing yourself (rather than reviewing material) is the single most powerful thing you can do. In a study at a Columbia, Illinois middle school, students who were quizzed on material three times across a semester scored A- on that content eight months later. Students who reviewed the same material without quizzes scored C+. The gap wasn’t time spent. It was the act of pulling knowledge out of memory rather than pushing it back in.
A quiz does two things at once: it tells you what you actually know (calibration), and it strengthens the memory trace by forcing reconstruction. Flashcards, practice tests, covering your notes and trying to recall the main points, closing the book and writing down everything you remember. These feel harder than rereading. They are harder. That friction is the mechanism, not a sign you’re doing it wrong.
2. Spaced Repetition
Cramming consolidates information in short-term memory, where it evaporates quickly. Spreading practice across time, with gaps between sessions, forces the brain to reconstruct from long-term memory. That reconstruction strengthens the learning each time it happens.
Surgical residents in one study who spaced their microsurgery lessons across four weeks dramatically outperformed residents who completed all four lessons in a single day. Sixteen percent of the massed-practice group permanently damaged their subjects during the test. The spaced group didn’t. The difference was not talent. It was timing.
3. Interleaving
Blocked practice means doing all of one type of problem before moving to the next. Interleaved practice means mixing them up. Students who practiced computing different geometric volumes in mixed order scored 63 percent on the final test. Students who practiced each type in a block scored 20 percent, despite averaging 89 percent during practice. The group that looked better during practice performed worse when it mattered.
Interleaving builds the discrimination skill that blocked practice never develops: the ability to identify what kind of problem you’re facing before choosing a response. In blocked practice, the next problem type is always the same as the last. In real life, it isn’t. Interleaving trains you for the world as it actually arrives.
4. Generation and Desirable Difficulty
“Trying to solve a problem before being taught the solution leads to better learning, even when errors are made in the attempt.”
This is the generation effect, and it runs counter to how most instruction is designed. The standard model: teach first, then practice. The research-backed model: attempt first, struggle, then receive instruction. The struggle primes the brain to absorb the answer more deeply because relevant prior knowledge has already been activated. Errors aren’t setbacks. They’re scaffolding.
Elizabeth and Robert Bjork coined the term “desirable difficulties” for this principle: certain obstacles during learning are not signs that the method is failing. They are the mechanism by which deep learning occurs. The difficulty is the point.
How Does This Apply to Changing Eating Behavior?
Every behavior change you attempt is a learning problem. And most people approach it the same way they approach ineffective studying: by reading more, reviewing more, reminding themselves of what they already know. This produces the same illusion of progress without the same transfer to real behavior.
Rereading a meal plan is not the same as building eating skills. Reading about hunger signals doesn’t build the ability to recognize them in the moment. Reviewing a list of emotional triggers doesn’t build the capacity to catch one in real time. Recognition under calm conditions is not the same as recall under pressure.
Here’s what the science would suggest instead. Before your next meal, close whatever you’ve been reading and ask yourself: what am I actually supposed to be doing differently right now? If you can’t answer without looking, the retrieval practice starts there. The struggle to remember is not a failure. It’s the learning.
Practicing in varied situations builds more flexible skill than practicing in one controlled context. Mastering your eating habits at home before trying restaurants before tackling social events is blocked practice. Real life doesn’t sequence challenges that neatly. Mixing the contexts (lunch at your desk, dinner with family, holiday party, stressful Tuesday) builds the discrimination skill you’ll need when Thursday arrives with a problem you didn’t rehearse for.
The generation effect matters here too. Every time you try a new behavior before you’ve fully figured it out, and stumble, and adjust, you are building stronger skill than if you had waited until you felt ready. Waiting until you feel ready is the rereading strategy. It produces fluency without durability.
As the authors put it: “It’s not the failure that’s desirable, it’s the dauntless effort despite the risks, the discovery of what works and what doesn’t that sometimes only failure can reveal.” Worth reading that twice. It’s a description of how the brain learns, backed by controlled experiments, not a poster on someone’s wall.
One more thing worth holding onto from Chapter 7: the brain is plastic throughout life. Effortful learning creates new neural connections, thickens myelin sheaths, and generates new neurons in the hippocampus. The capacity to change isn’t a belief system or a mindset. It’s biology. Your intellectual abilities, including the ability to build new behavioral habits, lie to a surprising extent within your own control. The book says this plainly, backed by decades of research, and it belongs near the top of anything you read this year.
Is Make It Stick Worth Reading?
Read this if you’re about to embark on any sustained behavior change and want to understand why previous attempts didn’t stick. Also for anyone who works with clients, patients, or students and wants to design learning experiences that actually produce durable results rather than temporary performance.
Skip it if you’re looking for subject-specific guidance on eating, weight, or nutrition. This book doesn’t teach you what to change. It teaches you how to make any change stick. Pair it with a domain-specific book and use these strategies to actually retain and apply what you read from it.
One caveat: the book is thorough about the science and light on the motivational challenge. Knowing that retrieval practice works and consistently doing it when it feels harder and slower are different problems. The authors acknowledge the gap but don’t close it. For the knowing-doing bridge, you’ll want something like Atomic Habits alongside this.
Books Like Make It Stick
| Book | Author | Best For |
|---|---|---|
| Atomic Habits | James Clear | Building the systems that make behavior change automatic |
| Tiny Habits | BJ Fogg | Starting smaller than you think you need to |
| Ultralearning | Scott Young | Applying retrieval practice to self-directed skill projects |
| Grit | Angela Duckworth | Sustaining effort through the discomfort desirable difficulties create |
| Mindset | Carol Dweck | The belief system that makes it possible to embrace hard learning |