Hi, this is Ray.

I want to tell you about the most humbling period of my adult learning life, and how it forced me to confront something I'd been avoiding for years. I was in my early thirties. I had, according to my carefully maintained list, seventeen active learning projects. Seventeen. Programming languages I was working through. Business skills I was building. A musical instrument I was practicing. Two languages I was studying. Books I was working through for various subject areas. Skills I was developing for work. Personal knowledge projects for fun. Each individual project felt justifiable when I looked at it in isolation. Each one seemed important for some version of my future self I was trying to build.

The result of maintaining seventeen active learning projects simultaneously was, predictably, that I was making almost no progress on any of them. Each one was getting a couple of hours a week at most, which meant none of them were building the kind of sustained momentum that produces actual competence. My retention was terrible because I was context-switching between subjects constantly. My motivation was fragmented because I couldn't feel real progress on anything. My time was completely accounted for by learning activities but almost none of it was producing durable learning.

The moment of clarity came when a friend (one who was, by any measure, more accomplished than me in her chosen domains) asked me what I was working on. I proudly rattled off my list. She listened patiently, nodded, and said something that I now think was one of the most important pieces of feedback I've ever received: "That's a lot of things you're doing badly. Have you considered doing three of them well?" It stung. It was also completely correct. My seventeen shallow attempts were producing dramatically less learning than her three deep commitments were producing for her. The math wasn't close.

Today's newsletter is about that. What the research actually shows about choosing what to learn and what to skip, why the failure to choose is one of the most common patterns in adult learning, and how to actually make these decisions without endlessly second-guessing them. This is genuinely one of the highest-leverage moves available to any serious learner, and most of us are terrible at it. Let's get into it.

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Let me start with the economic concept that underlies everything else in this newsletter, because most learners have absorbed it in the abstract but don't apply it to their learning.

Opportunity cost is the value of the best alternative you didn't choose. According to research on the concept, at the heart of this process stands the concept of opportunity cost, which captures the value of the best alternative not chosen. The necessity of choice defines economic life. By making opportunity costs visible, measurable, and actionable, decision-makers can move closer to rationality even in complex environments marked by uncertainty, bias, and institutional constraints. Every hour you spend learning X is an hour you can't spend learning Y. Every learning project you take on is a project that isn't a different learning project. The cost of any choice isn't just the effort it requires… it's the alternatives you gave up to make it.

The behavioral economics research has found something worth taking seriously about how badly humans handle this. According to summaries of the finding, one of the most common strategic errors is ignoring opportunity cost altogether, a phenomenon behavioral economists call "opportunity cost neglect." Research by Shane Frederick and colleagues at MIT demonstrated that consumers and managers alike routinely fail to consider what else they could do with their money or time. This cognitive blind spot leads to suboptimal resource allocation, sunk cost fallacies, and an overcommitment to mediocre initiatives simply because their direct costs appear reasonable. Read that carefully. Most people, in most decisions, don't consider what they're giving up. They only consider what they're doing. This is the specific cognitive failure that produces my seventeen-projects situation. Each individual project seemed reasonable on its own terms. What I wasn't considering was what each project cost me in terms of the deeper progress I could have made on fewer things.

This applies directly to learning. When you take on a new learning project, you're not just adding it to your life… you're subtracting from what you could have done with that time and attention. The addition is visible. The subtraction is invisible. Most learners see only the addition, which leads to the specific pattern of committing to more learning than any human could sustain and then either grinding badly through all of it or quietly abandoning most of it.

Here's the part that took me the longest to accept. You cannot learn everything you want to learn. Not because you're not smart enough, or disciplined enough, or motivated enough. Because time is finite and learning takes serious sustained investment. The person who could learn everything they wanted to learn would have to have unlimited time, unlimited energy, and unlimited focus… none of which exist.

This means every serious learner has to be a chooser. The choice is unavoidable. The only question is whether you're making the choice deliberately or by default. When you don't choose deliberately, you still end up with a set of things you learned and a set of things you didn't. The default choice just tends to be worse than the deliberate choice because it's shaped by whatever pushed you around most in a given period rather than by what actually matters most to you.

The Zelda approach here is instructive. You don't try to collect every heart piece, every korok seed, and every armor set on your first playthrough. If you try, you dilute your investment across too many things and never actually finish the main quest. The skilled players choose. They decide what matters for their current run and let the rest go. The completionist attempt tends to produce burnout before completion, while the focused approach produces the actual endings players remember. Same for your learning. The completionist approach to learning doesn't produce more learning. It produces the fragmented shallow engagement that produces almost no learning.

Understanding why we resist choosing helps you actually choose. Some common patterns worth naming.

FOMO about future opportunities. Every learning project promises some future benefit. Taking on all of them feels like preserving all future possibilities. Cutting any of them feels like closing a door. This is emotionally powerful and cognitively wrong. Taking on too many projects doesn't preserve all the futures… it just makes each future less achievable because you're not making meaningful progress on any of them.

Identity concerns. You might identify as someone who learns X, so cutting X feels like cutting part of who you are. This identity stickiness makes people continue projects long past the point where they've stopped producing value, because quitting the project feels like betraying part of the self.

Sunk cost thinking. "I've already put six months into this" is a bad reason to keep going. The six months are gone regardless. The question is whether the next six months produce more value in this project or in a different one. But sunk cost feels like it should matter, and most people let it drive their decisions.

Vague long-term justification. "This might be useful someday" is one of the most dangerous phrases in learning planning. Almost anything might be useful someday. This isn't a decision criterion… it's an escape from making decisions. Everything gets justified, so nothing gets cut, so you end up trying to do everything badly.

Reluctance to commit deeply. Choosing means committing. Committing means being wrong about what you chose is possible. Some people spread themselves across many projects specifically to avoid the risk of being wrong about a single deep commitment. The risk avoidance produces the guaranteed outcome of shallow engagement across everything.

Okay, the practical part. Here's the framework I now use for deciding what to learn and what to cut. Based on the research and my own experience refining this over years.

Step 1: List everything you're currently learning or considering learning.

Not just the active projects. Also the ones you're considering starting. Also the ones you're avoiding admitting you've quietly abandoned. Also the ones you feel guilty about not making progress on. The complete honest list.

For me, at my seventeen-project peak, this list was uncomfortable to compile because it made the mess visible. That's actually the point. The visibility is the first step toward making the choice.

Step 2: For each item, ask the specific questions.

For each project, honestly answer:

The last question is the one that cuts. It forces the actual comparison. Everything can seem important in isolation. Half of everything can't be kept if you're being honest.

Step 3: Categorize.

Based on your answers, sort projects into three categories.

Deep commitments: Projects that matter enough to invest real ongoing time in. These get the sustained hours that produce actual competence. Typically two or three at most for a serious adult learner with other life responsibilities.

Maintenance mode: Skills or knowledge areas you want to keep from atrophying but aren't actively growing. These get minimal ongoing time… enough to prevent decay, not enough to produce growth. Language you already speak but want to maintain. Basic technical skills you want to keep sharp. Hobbies you enjoy at your current level.

Cut: Projects that aren't in the first two categories. Actually cut them. Not "cut but might come back to." Cut, and let go of the guilt. If they come back later because you genuinely want them again, fine. Right now, they're not part of your active learning.

Step 4: Redistribute the time.

The time and attention freed by cutting projects doesn't disappear. It goes into the deep commitments you kept. This is where the compounding happens. Two projects getting substantial regular time produce dramatically more learning than seventeen projects getting fragmentary time. Same total hours. Wildly different outcomes.

Step 5: Revisit periodically.

Life changes. Priorities shift. What matters this year might not matter next year. Revisit your project list quarterly. Don't be precious about your previous choices. Cut what's no longer serving you. Add what's now genuinely important. The system is iterative, not static.

When you're deciding what to keep and what to cut, some criteria are more useful than others. Based on the research and my own experience, here are the ones that reliably distinguish worthwhile projects from ones that should go.

Genuine intrinsic pull. Do you actually want to learn this, or do you think you should? The projects that get sustained naturally are the ones that pull you. The projects you have to force yourself into rarely survive long-term. This isn't about only doing what's easy… hard things you're pulled toward can absolutely be worth doing. It's about being honest about which pull is real.

Alignment with who you're becoming. Not who you think you should become. Who you actually are becoming, based on the patterns of your actual life. Learning that fits your emerging trajectory tends to compound. Learning that's disconnected from your actual life tends to stay isolated and eventually die.

Time realism. Some learning projects require sustained investment that's incompatible with the rest of your life. A skill that requires ten hours a week to make progress can't be built if you have three hours available. Rather than trying to grind through with insufficient time, either restructure to make the time or cut the project. The middle position produces suffering without results.

Compound value versus one-shot value. Some learning compounds… it makes future learning easier or opens up whole new domains. Some learning is just useful for one purpose. Both can be worthwhile, but compound value tends to justify more investment because the returns build on themselves. A programming language that opens doors to entire technical domains produces different returns than a specific trivia knowledge that's just interesting.

Fit with current life stage. What's right to learn at 25 isn't necessarily right at 45. Some projects have windows that pass. Some can be picked up at any time. Being honest about which is which affects the calculus. In One Piece, Luffy learns some skills specifically because he has the time and freedom of his current stage… the specific arcs match his life at that moment. Same for you. Match projects to your current stage.

Some honest caveats.

This isn't ruthless optimization of everything. Some things you learn just because you enjoy them, and that's completely valid. The point isn't to reduce learning to instrumental value. It's to be honest about what's earning the time and attention you're giving it.

Deep commitments can change. Choosing what to focus on now doesn't mean choosing forever. What matters shifts over life stages, and revisiting is healthy. The commitment is to depth in the current moment, not to eternal singular focus.

Some breadth is healthy. You don't have to have only one interest. Some breadth of learning enriches life and produces the cross-domain connections that pure specialization misses. But there's a big difference between deliberate curated breadth and undifferentiated spreading yourself across everything. The former works. The latter doesn't.

Cutting doesn't require public declaration. You don't have to announce that you're no longer learning X. Just... quietly stop. Redirect the time. Nobody needs to know except you.

Here's what I want you to take from all this. The failure to choose what to learn and what to skip is one of the most common reasons ambitious adults produce less learning than their efforts should produce. The math is clear once you look at it. Fragmented attention across many projects produces less total learning than concentrated attention on fewer projects. Choosing is what enables the concentration.

If you've been trying to learn everything that interests you and feeling like you're making progress on nothing, please consider that the issue isn't that you're not trying hard enough. The issue is that you're trying too widely. The same effort, concentrated on fewer projects, would produce dramatically more learning. The cost is admitting you can't learn everything you want to learn. The benefit is actually learning some things well.

Choose your battles. Not because some battles don't matter, but because you have finite energy and infinite worthy causes. In Attack on Titan, the Survey Corps doesn't fight every Titan they see. They choose the battles that matter for the missions that matter. The Titans they don't fight don't stop existing. The Corps has just made peace with the fact that they can't fight all of them, so they focus on the ones that count. Your learning works the same way. You can't learn everything. Accept it. Choose deliberately. Invest deeply in what you chose. Let the rest go without guilt.

The learning you produce in the next five years will be dramatically shaped by whether you make this choice now, deliberately, or by whether you continue letting the choice be made by default. Deliberate is better. It always is.

Keep learning (and keep choosing),

Ray