An instruction that helped you learn a movement can become an interruption once you know it. A small experiment with soccer players makes the distinction unusually clear: experienced players, on average, benefited from detailed attention with one foot and were hindered by it with the other.

The same players had two different problems

In a 2002 experiment, Sian Beilock and colleagues asked 20 university students, half experienced soccer players and half novices, to dribble through cones. Everyone preferred their right foot. Each completed the course with either foot under two conditions.

In one, a sound prompted them to report which side of their foot had last touched the ball. In the other, they listened for a particular word in a recording. The researchers timed error-free runs.

Experienced players were faster with their right foot when listening for the word. With their less-practiced left foot, they were faster when attending to the foot movement. The novices generally did better with that detailed attention too.

This was a small test of immediate performance, not long-term learning. But the reversal is useful: being experienced didn’t make every movement equally familiar. The researchers’ explanation was that step-by-step monitoring can interfere with an already well-learned sequence, while helping one that still needs conscious control.

You still need something to pay attention to

That distinction makes “stop thinking” rather poor advice. You cannot decide whether it applies without knowing what you are doing and how well you have learned it. Nor should a performer stop noticing the result. A musician still needs to hear the music; a player still needs to see where the ball is going.

In his September 24 letter, Mark Manson argues for giving performance and critique different moments. He describes writing a first draft without judgment, then bringing the critic in for the second. That is his account of his own process, rather than experimental evidence about writing.

The useful question is when the instruction belongs. Before playing, “work on that awkward change” gives practice a purpose. During a familiar passage, a running inventory of finger positions may be an unnecessary interruption. Afterward, “the rhythm broke at that change” gives you something specific to examine.

You can care deeply about doing something well without narrating every movement as it happens. Paying attention to what you’re producing leaves room for judgment. It doesn’t require turning the attempt into a lesson at every instant.

A mistake can still need a lesson

Of course, “I’m overthinking it” can become a flattering explanation for being underprepared. Perhaps the guitar part only feels familiar because you’ve heard it often. Perhaps you can play it slowly but haven’t learned it at the speed you’re attempting. Confidence cannot supply that missing practice.

And self-monitoring is only one possible difficulty. In a 2021 study of 258 pianists, researchers found that distraction toward the audience featured in their accounts of performance anxiety, while excessive attention to the performance itself did not emerge as one of the retained factors. The study relied on remembered experiences and questionnaires, so it cannot establish what caused a particular mistake. It does warn against explaining every faltering performance the same way.

If your attention is on whether somebody looks bored, adding more distraction is hardly an obvious solution. If you haven’t learned the movement, removing useful instruction may leave you lost. Start with the actual difficulty, including the possibility that a teacher could see something you can’t.

Give the repair a place to happen

For an ordinary hobby, you can make a modest distinction before starting: are you working on a specific part, or seeing whether you can complete something familiar?

Suppose one chord change keeps breaking the rhythm. You might slow it down, inspect the fingering, and practice that transition separately. In that session, stopping is part of the work. You have chosen a detail that needs attention.

Later, you could play a familiar passage through and listen to the result, saving the detailed repair until the passage ends. This is a proposed experiment, not the procedure tested with those soccer players. Its value would be in discovering whether it helps your particular skill.

The review must still happen. Otherwise, “letting it flow” becomes a pleasant way to keep repeating the same error. Give yourself permission to finish an attempt and an obligation to examine what it produced. Those can coexist.

Try this with one familiar skill

1. Name the part you can already do. Choose a low-stakes movement or short passage you’ve performed successfully before. If you’re learning it from scratch or deliberately changing technique, keep the instruction you need.

2. Complete one bounded attempt. Decide where it ends before starting. Attend to the task and its result without adding a new checklist of body movements halfway through. Keep all normal safety checks; use a hobby where a miss is harmless.

3. Review the result, then choose a repair. Note where the attempt worked or broke down. Compare further attempts rather than trusting one lucky success. If removing the commentary makes things worse, restore a useful cue or seek instruction. Keep what helps the performance, even if it contradicts the advice.

The guitar is still in your hands when the passage ends. You can return to the difficult change and work on it carefully. You can also let the final chord finish ringing before you begin.

P.S. By the way, an AI wrote these sentences from the creators’ videos, newsletters, and posts Payton actually consumes week after week. He built the system that makes this letter, and he will keep putting it out once a week. He put his taste and judgment into what good looks like, and into how to avoid bad. He wants to be fully transparent about that.

The following comes from the tweet storm, or threaded essay, pinned to my X account. It was inspired by Naval Ravikant’s “How to Get Rich (without getting lucky)” thread and built around one of my favorite topics and biggest goals: thinking clearly. I consider being called a clear thinker a much better compliment than being called “smart” or “intelligent.” I want to be known as a clear thinker. I hope these 50 maxims and the explanations behind them help you become a clear thinker too. Enjoy.

Clear thinking starts with enough attention to understand a problem and a willingness to test your explanation against reality. AI can suggest options and objections, but you still have to check the important claims and decide what evidence supports them. Before committing to an idea, write down what you expect and try a small test that could change your mind. Use what happens to improve your next decision.

*You can read the essay straight through or return to the maxim that fits a problem you’re facing.

• 01. AI lowers the cost of producing an answer. It does not lower the cost of believing the wrong one.

A polished answer can make you feel as though the difficult thinking has already happened. The sentences connect, the numbers look plausible, and the conclusion sounds reasonable. But none of that tells you whether the assumptions underneath it are true. AI makes it much easier to produce something worth considering. You still have to establish whether it’s worth believing.

Suppose a shop owner asks whether they should open a second location. AI produces a convincing plan based on steady demand, affordable staffing, and customers behaving the same way in a new neighborhood. If any of those assumptions fail, the owner’s actual money is still gone. The cheap part was getting the plan. The expensive part was committing to it.

So use the answer to identify what needs checking. Compare the sales assumptions with your own records, get real quotes, and test demand before signing anything. A quick answer is useful when it accelerates that investigation. It’s dangerous when its confidence lets you skip it.

• 02. Clear thinking means knowing what you believe, why you believe it, and what would change your mind.

You can hold a strong opinion without understanding what holds it up. Sometimes it’s evidence. Sometimes it’s a person you trust, a painful experience, or an idea you’ve repeated so often that it now feels obvious. Clear thinking starts by making that support visible.

Take the belief that remote work makes a team less productive. What does “productive” mean here? Finishing on time? Producing better work? Being available when someone needs help? Once you’ve defined the claim, write down why you believe it and what result would count against it. You could compare similar projects during a trial, including their quality and the effort required to coordinate them.

You don’t need to abandon the belief the moment you encounter one exception. You do need a standard by which it could lose your confidence. If every possible result becomes another reason you were right, you’re protecting a conclusion from examination. Being able to explain what would change your mind is part of having a defensible view.

• 03. Clear thinking depends on a mind that can focus, an explanation that fits reality, and a way to discover when you’re wrong.

You can reason carefully and still reach a poor conclusion because you started with a bad explanation. You can also have a useful explanation and fail to apply it because your attention keeps getting pulled elsewhere. Even when both are working, you need a way to discover whether the decision helped.

Imagine a freelancer trying to earn more. They need enough uninterrupted attention to examine their work. They need an explanation of what limits their income: perhaps pricing, demand, or the hours each project consumes. Then they need feedback that distinguishes those possibilities. Raising prices won’t solve a shortage of qualified inquiries, and attracting more clients won’t help much if every project already loses money.

When thinking goes wrong, inspect the part that failed. Were you too distracted to understand the situation? Did your explanation miss something? Did you act without checking the result? Those problems require different repairs. More concentration cannot make a false assumption true, and reading another book cannot replace feedback from an actual customer.

• 04. Before calling yourself undisciplined, inspect your sleep, your surroundings, and the size of the task. You may be judging your character by conditions you can change.

“I have no discipline” sounds like an explanation, but it’s often just a description of the problem with an insult attached. You didn’t begin the work, so you call yourself someone who doesn’t begin work. That gives you very little to change.

Look at the conditions first. Are you trying to make a difficult decision after a poor night’s sleep? Does every notification interrupt you? Is the task “sort out my life,” which contains about a hundred decisions and no obvious starting point? Any of those can make beginning harder without proving anything permanent about your character.

If you’ve been avoiding a report, try a quiet place and a first step as specific as opening last month’s numbers. Change one condition at a time when you can, so you learn what helps. Responsibility still matters: you’re responsible for improving the conditions you can influence and seeking help with the ones you can’t. But blame is a poor substitute for diagnosis. Give yourself a problem you can actually work on.

• 05. Write complicated problems down. Every detail you must remember competes with the attention you need to examine it.

Try comparing three apartments while keeping every rent, commute, deposit, move-in date, and doubt in your head. Part of your attention will be spent simply preventing those details from disappearing. You’ll revisit the same points because you can’t reliably see what you’ve already considered.

Put them somewhere you can look at. Separate what you know from what you’re assuming, then write the decision you’re actually trying to make. “Which apartment should I choose?” becomes easier to examine when you can see that one exceeds your budget and another isn’t available before your current lease ends. A problem that felt emotionally enormous may be controlled by two practical constraints.

Writing also exposes gaps. “The commute seems fine” becomes “I haven’t tested the commute at the time I’d actually travel.” Now you have a useful next step. The page doesn’t need to be beautiful, and you don’t need a new productivity system. It needs to hold the details still long enough for you to examine how they fit together.

• 06. Expertise is compression. Learn how facts fit together, and you have fewer separate things to hold in mind.

When you understand a subject, you stop treating every detail as a separate instruction. You recognize relationships. Those relationships let you make sense of more information without consciously working through every piece from scratch.

A beginner cook might memorize rules about heat, moisture, and how much food to put in a pan. An experienced cook sees that a crowded pan traps moisture and makes browning harder. That explanation connects several observations at once. It also helps when the recipe changes, because the cook understands what the instructions were trying to accomplish. This is why being able to recite a definition isn’t the same as understanding it. Ask what causes what, when the pattern applies, and what would happen if one condition changed. Then practice with different examples. AI can help generate those examples or explain a relationship, but familiarity with its wording isn’t proof that you’ve learned it. Try using the idea without looking at the explanation. You’ll quickly find the parts you only recognized on the page.

• 07. Find your defaults by asking what happens when you do nothing. Choose that outcome deliberately. It will govern the days when you are tired.

A default is the result your existing setup produces unless you intervene. Your phone opens to something. Your money stays somewhere. Unclaimed time gets filled by whatever is easiest to reach. Doing nothing still leads to an outcome.

Suppose you want to read more, but your phone is beside the couch and your book is upstairs. Reading is possible, but scrolling has the easier starting position. On a tired evening, that difference may decide what you do before you consciously weigh the options. Leaving the book where you sit changes the default without requiring a fresh burst of determination.

Look at what happens on an ordinary bad day, when you’re busy and mildly irritated and haven’t planned everything. Is that setup moving you toward something you want? If it isn’t, change what happens automatically. Defaults deserve occasional review because your circumstances will change. Their value is that you don’t have to rebuild a sensible decision every time you face it.

• 08. Make useful actions easy to begin and distractions inconvenient to reach. A change in friction can outlast a burst of motivation.

Friction is whatever stands between an intention and the first action: a missing file, a login, a cluttered desk, a decision about where to start. None of these needs to be a huge obstacle. A small obstacle repeated at the wrong moment can be enough to send you toward something easier.

Suppose you want to practice guitar after dinner. If the guitar is in its case, in a cupboard, behind three other things, practice begins with a minor household project. Put it on a stand beside the chair, with the next exercise ready, and the first useful action becomes much easier. Put the television remote somewhere less convenient and you’ve changed the competing option too.

You still have to choose to practice. The environment can’t supply a goal you don’t care about. What it can do is stop making the choice unnecessarily difficult. Keep protective friction where mistakes are costly, such as reviewing a message before sending it. Make the useful action easier, not every action indiscriminately faster.

• 09. Do not negotiate with temptation in real time. Move the phone, block the site, or remove the option while you are still thinking clearly.

It’s easy to make a sensible plan when the temptation is somewhere else. The argument changes when the phone lights up or the website is already open. Now the immediate reward is vivid, while the benefit of staying focused is something you’ll receive later.

Make the decision earlier. If you want an hour to write, put the phone outside the room and block the sites you usually visit before you begin. You aren’t relying on winning the same argument thirty times. You’ve changed whether the argument needs to happen at all.

Choose a barrier proportionate to the problem. A temporary website block is different from locking yourself out of something you may urgently need. Leave sensible exceptions and a way to revise a rule that isn’t working. The purpose is to carry a decision you made thoughtfully into a moment when you’re likely to bargain with it. Knowing your future self may be tempted gives you a chance to help them in advance.

• 10. Make your environment work even when your self-control is weak. Removing a distraction reduces how often you need to resist it.

A good working environment should help when you’re having an average day. If it only works when you’re well rested, enthusiastic, and perfectly disciplined, it’s relying on the very conditions it was supposed to support.

Consider someone trying to check a complicated document beside two colleagues having a conversation. Nobody is asking for their attention, and they may never turn around. Yet they keep losing the sentence they were reading and starting again. Telling themselves to concentrate harder doesn’t change the competing speech. Moving to a quieter place might.

That is a different problem from deciding whether to open a distracting app. Some environments keep presenting information you have to process or ignore before you get a choice about pursuing it. The useful intervention may be less noise, fewer visible competing tasks, or a clear agreement about when colleagues can interrupt you.

Try the same kind of work in a quieter setup and compare errors, progress, and how often you need to restart. One good session won’t prove a universal rule about offices, but it can help you identify a condition worth changing. Keep the arrangement simple enough to use on a difficult day. You want your surroundings to absorb some of the effort instead of repeatedly demanding more of it.

• 11. An interruption costs more than the time it lasts. Before switching tasks, write down the next step so you don’t have to reconstruct your thinking.

When you return from an interruption, the document may still be open, but the thought isn’t necessarily where you left it. You have to remember what you were trying to do, which options you ruled out, and why that unfinished sentence mattered. A two-minute interruption can therefore create more than two minutes of lost progress.

Before switching, leave a useful return point. “Continue proposal” tells your future self almost nothing. “Check whether the client’s deadline includes revisions, then finish the delivery paragraph” preserves the decision and the next action. If you stopped because something was unclear, write the question down too.

This won’t make interruptions free, and it doesn’t justify filling your day with them. It makes an unavoidable switch less costly. The note can be a single sentence at the bottom of the document. What matters is that it restores the context you would otherwise have to reconstruct. Write it for the version of you who comes back distracted, not the version who currently remembers everything.

• 12. A mental model simplifies reality by leaving things out. That is what makes it useful, and dangerous: when it disagrees with reality, reality wins.

A map that included every blade of grass would be a terrible map. Its usefulness comes from leaving things out so you can see the roads. Mental models do something similar: they emphasize a few relationships so you can reason about a complicated situation.

The danger appears when an omitted detail controls the result. “Lower prices attract more customers” can be useful, but it leaves out whether people associate the lower price with poor quality, whether you can serve the extra demand, and whether each sale remains worthwhile. A model can be sensible within its limits and misleading outside them. Use it to form an expectation, then compare that expectation with what happens. If the result disagrees, inspect the assumptions and the quality of your observations. You might have measured poorly, or you might need a better model. Either way, the model doesn’t get to overrule the result because it sounds elegant. Its job is to help you navigate what’s actually there.

• 13. A compelling story can leave out as much as any model. Before a narrative decides for you, ask what it left out.

A compelling story usually has a main character, a difficult choice, and a result that makes the choice seem meaningful. Real events contain much more: timing, constraints, other people’s work, failed attempts, and things nobody understood while they were happening. A tidy account selects from that mess.

Imagine reading about a founder who quit their job and built a successful company. The story may accurately describe what happened. It still doesn’t tell you how many people made the same move and failed, what financial support the founder had, or whether customers were already waiting. Those missing details matter if you’re treating the story as advice.

You can enjoy a story and learn from it while asking what it leaves unresolved. Look for the conditions that would have to be similar for the lesson to apply to you. A memorable example shows that something can happen. Establishing how often it happens, why it happens, and whether you should expect it requires more evidence.

• 14. Use AI summaries to decide where to look. Return to the original source before making a decision that depends on what the summary may have omitted.

A summary makes a document shorter by deciding which details deserve to survive. That is useful when you’re trying to find your way around a large amount of material. It becomes risky when the excluded detail is the one your decision depends on.

Suppose AI summarizes a return policy as “returns accepted within thirty days.” The original might limit that promise to unopened products or exclude the item you’re buying. The summary could sound perfectly clear while leaving you with the wrong expectation. Reading the relevant clause is much cheaper than discovering the exception afterward.

Use a summary to locate the passage, identify questions, and decide which sources deserve closer attention. Then inspect the original wherever wording, context, or an exception could change your action. You don’t have to read every page of every source. You do have to check the parts carrying the decision. If the original remains unclear, say so and investigate further. Asking AI to repeat the summary more confidently won’t recover a condition you haven’t checked.

• 15. When reality surprises you, examine the assumption behind your expectation. Investigate the mismatch before explaining it away.

Surprise is useful because it identifies a difference between what you expected and what happened. Something in your picture of the situation was incomplete, or the result included variation you hadn’t allowed for. Either possibility gives you something to investigate.

Suppose you send an offer and receive far fewer replies than expected. “People just don’t get it” protects your original view, but it doesn’t help you improve anything. Check whether the message arrived, whether the recipients had the problem you assumed, and whether the offer was clear enough to evaluate. Also check whether your expectation was reasonable in the first place.

One surprising result doesn’t automatically disprove your explanation. Small samples can mislead, and circumstances can change. The point is to pause before defending yourself. Write down which assumption the result puts under pressure and what information would help resolve it. You want to become quicker at noticing a mismatch, not quicker at producing a reason it doesn’t count.

• 16. Notice what makes you flinch. Sit with it for ten seconds and ask what it’s pointing at.

Sometimes you notice resistance before you can explain it. A question makes you tense. A message stays unopened. A particular line in someone’s feedback makes you want to stop reading. That reaction is worth examining because it may point toward something you’ve been avoiding.

Give it a little space. Ten seconds isn’t a magic threshold; it’s a reminder to pause before distracting yourself. Name what happened as plainly as you can: “I don’t want to check the numbers because they might show this project isn’t working.” Once the concern is visible, you can investigate it rather than letting the discomfort choose for you.

A flinch doesn’t prove the criticism is correct. It can also come from an unfair accusation, a painful association, or a real boundary being crossed. Treat the reaction as a signal to ask a better question. What exactly am I afraid this means, and what evidence supports that interpretation? You can take the feeling seriously without treating it as the final verdict.

• 17. Question every unexamined “should.” Ask who installed it and whether you actually want it before you obey it.

“I should want this” can hide a decision you’ve never actually made. The expectation may have come from your family, your profession, your friends, or a version of yourself whose priorities have changed. Repetition can make it feel like a fact about how life must be lived.

Suppose you believe you should become a manager because that’s what progress looks like in your field. Look at the actual work: hiring, difficult conversations, planning, and being accountable for other people’s results. You may want that. You may prefer becoming excellent at the craft you already practice. The title alone doesn’t settle the question.

Trace the expectation back to its reason. Some “shoulds” reflect real responsibilities, including promises you’ve made and people who depend on you. Others are preferences you’ve inherited without examining the cost. Questioning them doesn’t mean automatically rejecting them. It lets you keep the commitments you can defend and reconsider the ones you’re following mainly because you’ve never stopped to ask.

• 18. Charlie Munger said, “Show me the incentive and I’ll show you the outcome.” Before predicting what people will do, ask what they are being rewarded for.

People respond to more than what a system officially says it values. They also respond to what earns money, approval, promotion, relief, or protection from blame. When those rewards conflict with the stated goal, the rewards deserve your attention.

Imagine a support team paid partly according to how many tickets it closes. The company says it wants customers helped, but the easiest way to improve the rewarded number may be to close difficult cases prematurely. You don’t need to assume the employees are unusually dishonest. You’ve created a situation in which thorough work can make their performance look worse.

Before blaming the people, examine the arrangement. What behavior gets rewarded immediately? What good work goes unnoticed? What happens to someone who reports a problem honestly? Incentives aren’t a complete explanation of human behavior; people also have values, relationships, and professional standards. But if your plan requires people to repeatedly act against what the system rewards, you’ve made the desired result harder to achieve. Change the reward or add a check that makes shortcuts visible.

• 19. A rising metric can hide a worsening result. Measure closed support tickets alongside reopened ones. The number should remain accountable to the thing it represents.

A number is useful because it stands in for something you care about. Response time stands in for service. Views stand in for attention. Completed tasks stand in for progress. The mistake is forgetting that the number and the underlying result can separate.

Suppose a team closes twice as many support tickets this week. That looks good until you discover that many customers are reopening the same unresolved problems. The original metric rewarded an administrative action, and the dashboard mistook it for a successful outcome. Tracking reopened cases makes that difference harder to hide.

Choose a second measure that would worsen if someone improved the first by taking a shortcut. If you’re increasing output, check quality. If you’re cutting delivery time, check errors and rework. You don’t need a dashboard with forty competing targets, each creating more work. You need enough evidence to notice when the number is improving at the expense of the thing it was supposed to represent. Occasionally inspect the actual work too. Two imperfect metrics are still representations.

• 20. Before removing a rule, understand the problem it was built to solve. You can remove the rule and inherit the problem.

An unnecessary rule creates friction. A necessary rule can create friction too. Looking at the inconvenience alone doesn’t tell you which kind you’re dealing with.

Suppose every customer order requires a second person to check the delivery address. It seems wasteful, so you remove the step. Later you discover that the rule followed a series of expensive shipments to old addresses copied from previous orders. The review may still be a poor solution, but the problem it addressed hasn’t disappeared just because the review annoyed you. Ask what happened before the rule existed, which failure it prevents, and whether the relevant conditions have changed. Perhaps the order system now validates addresses reliably. Perhaps a targeted check would replace the blanket review. History gives you something to test, not a permanent veto on change. Once you understand the protection, you can remove it deliberately, replace it, or run a limited trial while watching for the original failure. That’s a stronger improvement than simply making the process shorter.

• 21. Evidence matters when it separates competing explanations. Ask whether you would expect to see the same thing if your belief were false.

Evidence earns its value by helping you choose between explanations. An observation can be consistent with your belief and still tell you very little, because you’d also expect it if your belief were wrong.

Suppose you think a potential customer is eager to buy because they said, “Send me some details.” A serious buyer might say that. So might someone being polite or trying to end the conversation. The reply fits both explanations, so it shouldn’t move your confidence very far. A request to discuss delivery dates with the person who approves the purchase would usually provide more information, though it still wouldn’t guarantee a sale.

Ask what each explanation predicts, then look for the difference. If customers love the product, what should you observe beyond compliments? Repeat use, perhaps, or willingness to pay. Compare that with what you’d expect from people who merely like you. You aren’t demanding perfect proof. You’re looking for information that makes one account of the situation more plausible than its competitors.

• 22. Turn percentages into people. Ten out of a thousand is easier to grasp than one percent.

A percentage can sound dramatic while hiding the scale of what happened. If a website’s sales rise from one to two, sales have increased by 100 percent. If they rise from a thousand to two thousand, the percentage is identical, but the practical result is very different.

Keep the count and the total group together. Ten responses out of a thousand invitations means something different from ten out of twenty. Also check the time window and who was counted. A result drawn from existing customers may tell you little about people who have never heard of the business.

Consider a conversion rate rising from two percent to three percent. In a group of a thousand visitors, that means twenty buyers becoming thirty. The increase is ten buyers. Ten divided by the original twenty is one half, so the relative increase is fifty percent. But the rate itself rose by one percentage point, from two to three.

All of those descriptions are compatible. They answer different questions. The concrete count helps you understand what changed before the most impressive-sounding version decides how you feel about it. Ask for the original count, the new count, and the group they came from whenever a percentage is doing the persuading.

• 23. Begin with what happens in similar cases. Your plan needs evidence for being exceptional, not merely a story about why it is.

Your own plan comes with details that make it feel different. You know your motivation, the care you’ve put into it, and the reasons it could work. Comparable projects usually appear as bare outcomes, without the equally convincing stories their owners told at the beginning.

Suppose you’re planning a paid workshop and expect almost everyone you invite to register. Before building the budget around that expectation, look at comparable workshops: similar audience, price, topic, and relationship with the organizer. What share of invitees actually paid? This starting pattern is often called a base rate. It gives you an expectation grounded in more than the appeal of your own plan.

Choose the comparison carefully. An established teacher inviting past students has a different starting position from a stranger advertising to people who have never heard of them. If you can’t find a close comparison, acknowledge that uncertainty instead of inventing a precise benchmark.

Then adjust for advantages you can defend. Perhaps prospective attendees have already asked for this exact material, or several have made a commitment to attend. You can still believe your workshop will do better. You need to explain why the difference should change the outcome, rather than treating your enthusiasm as the evidence.

• 24. Break a large unknown into smaller estimates. Use ranges. Find the assumption that changes the answer most, and investigate that first.

A large unknown often becomes easier to estimate once you identify what produces it. “How many people might attend this workshop?” is vague. The number you can realistically reach, the share likely to register, and the share of registrants likely to attend give you separate questions you can investigate.

Suppose you can reach about two hundred relevant people. If ten to twenty percent register and around three quarters attend, you might plan for roughly fifteen to thirty attendees. Those figures are hypothetical assumptions, not a forecast you should trust because it contains multiplication. Their purpose is to expose the logic behind the answer.

Now vary the inputs. If a small change in registration rate greatly changes the result, learning about demand may be more useful than refining a minor cost estimate. Watch for assumptions that move together: reaching a larger, less relevant audience might reduce the registration rate. A range is honest only when it reflects plausible conditions. Breaking the problem down makes uncertainty inspectable; it doesn’t make uncertainty disappear.

• 25. When comparing options, consider what you could gain or lose and how likely each outcome is. Write down your estimates so you can see which assumptions your decision depends on.

We often compare options by picturing their most appealing or frightening outcome. A new project offers freedom. A familiar job offers security. Those impressions can hide several possible outcomes with different chances of happening and different costs.

Write down the main possibilities over the same time period. For a small project, that might include strong demand, modest demand, and little demand. Estimate what each would mean after expenses and time, then assign rough probabilities that add up to the whole set of possibilities. You’re making your judgment visible so you can examine it. Decimal places won’t make a guess more trustworthy.

The useful discovery is often which assumption controls the choice. Perhaps the project looks attractive only if customers arrive immediately, while a slow start makes it unaffordable. Now you know what to investigate or protect against. Also include outcomes that don’t fit neatly into money: stress, family time, obligations, and the ability to change course. The calculation should inform the decision you’re actually making, including the parts it cannot precisely measure.

• 26. Weigh both the likelihood of an outcome and its consequences. Then ask whether you can survive being wrong. Favorable odds are little comfort if one loss ends the game.

A favorable average can hide a downside you cannot afford to experience even once. The same uncertain opportunity can be sensible for one person and disastrous for another because they have different obligations and different capacity to recover.

Imagine two small businesses considering the same untested expansion. One can fund a limited trial while continuing normal operations. The other would have to commit the cash it needs to pay staff next month. Even if both owners believe the expansion is likely to work, the second is exposed to a very different failure. A good story about the upside doesn’t make payroll optional. Examine the worst plausible outcome, how it could arise, and what it would leave you able to do next. Reduce the commitment, stage it, or decline it if the downside exceeds what you can responsibly absorb. “Likely to succeed” and “safe enough to attempt” answer different questions. Protecting your ability to continue gives future good decisions somewhere to take effect.

• 27. You do not need certainty to act. You need enough evidence for the size of the bet, a limit on the downside, and a way to learn from the outcome.

Waiting for certainty can feel responsible when it’s really avoiding a decision. At the same time, acting quickly can feel brave when you haven’t understood the downside. The useful standard sits in the relationship between the evidence and the commitment.

You need less evidence to test a new workshop with a small group than to rent a permanent venue for a year. The small trial can reveal whether people attend, whether the material helps, and what takes more work than expected. If it fails, you should still be able to recover and use what you learned.

Define the limits before you begin: the time or money available, what you won’t put at risk, and when you’ll review the result. Make sure the test can actually answer the question controlling the next step. A harmless experiment that teaches you nothing relevant isn’t much help. The aim is to take an action proportionate to what you know, with enough protection that being wrong remains useful rather than overwhelming.

• 28. A good decision can lose. A bad decision can win. Judge the reasoning using what was knowable at the time, then learn from what happened.

After a result arrives, it’s tempting to treat it as a grade on the decision. Success makes the choice look intelligent. Failure makes the warning signs look obvious. But you made the decision before you knew which outcome would occur.

Suppose an outdoor event has a backup venue because the forecast shows a meaningful chance of rain. The day stays dry. That doesn’t automatically mean arranging the backup was foolish. You paid to protect against a possibility that happened not to occur. Conversely, ignoring a serious risk doesn’t become careful planning just because you escaped the consequences once.

Review two things separately. First, did the choice make sense given the information available, the alternatives, and the downside at the time? Second, what does the outcome teach you about those assumptions? A repeated pattern of misses may reveal a broken process even when each individual miss has an excuse. You want to avoid learning the wrong lesson from luck while remaining fully willing to improve the reasoning.

• 29. Write down your prediction and reasoning before the result arrives. Otherwise you can remember being right about something you never predicted.

Once you know what happened, it’s surprisingly easy to remember that you expected it. A vague concern becomes a precise warning in hindsight, and an outcome you barely considered becomes “what I thought would happen.” A written record gives you something less convenient to negotiate with.

Before an important choice, record the outcome you expect, when you expect it, your confidence, and the main reasons. Define the terms. “The trial will go well” is hard to evaluate. A prediction such as “At least eight of the ten participants will complete the exercise without extra help by the end of Friday’s session” gives you a checkable outcome and a deadline.

Then add why you expect that result. You might have tried the instructions with two beginners and found that both finished, while still being uncertain about a larger group. Recording that evidence matters: if the trial fails, you can examine whether the instructions were unclear, the earlier test was unrepresentative, or your confidence simply exceeded what two people could establish.

When the result arrives, compare it with the original words before explaining the difference. Record what you’ll change next time. This doesn’t need to become a diary of every trivial decision. Use it where repeated learning or a meaningful commitment makes an honest comparison worth the effort.

• 30. Estimate from the time similar work actually took. A plan built from perfect days is a promise to be surprised.

A plan often describes the work as though nothing interrupts it: write the draft, review it, make revisions, send it. Real projects contain questions, waiting, errors, missing information, and work that takes longer once you can finally see what it involves.

Look at how long comparable work actually took, from the point you started to the point it was usable. If a previous presentation required research, review, and revisions, those stages belong in the new estimate too. Counting only the hours spent building slides gives you a forecast for an imaginary version of the task.

Use a range when uncertainty is meaningful, and separate your likely finish from a safer commitment. Then adjust for actual differences in scope or experience. You may be faster now, but name what has changed rather than assuming determination will cancel every delay. Historical estimates are useful precisely because they include some of the mess that a fresh plan makes easy to forget.

• 31. Compare your initial time estimates with how long the work actually took. Use the pattern to adjust future estimates for similar tasks.

An estimate becomes more useful when it participates in a feedback loop. Otherwise, you can spend years being “usually a bit optimistic” without learning which tasks you misjudge or by how much.

Keep a simple record of what you expected and what the work required. Be consistent about the measure: active work hours and calendar time answer different questions. A task can need two hours of effort while taking three days to finish because someone else must review it. Both may matter to the next promise you make.

Group similar work and look for a recurring miss. Perhaps you estimate writing reasonably well but forget the time needed to find source material. Perhaps revisions keep doubling a supposedly quick design task. Correct the missing stage before applying a blanket multiplier to everything. Revisit the pattern as your skills, tools, and scope change. The point is to become more accurate, not to turn a small collection of old projects into another rule you’re unwilling to update.

• 32. Every commitment spends hours that cannot be spent elsewhere. Name the best alternative you are giving up before you say yes.

Saying yes spends part of a finite week. The cost includes whatever you can no longer do during that time, even if no money changes hands and nobody sends an invoice for the lost opportunity.

A one-hour meeting may consume the only uninterrupted hour you had to finish a proposal. Add preparation and the effort of returning to the interrupted work, and the commitment is larger than the calendar block suggests. Naming the displaced work makes the trade visible in a way that “I’m busy” doesn’t. Compare the new commitment with your best realistic alternative, not an imaginary hour of perfect productivity. Rest, relationships, and unstructured time can be worthwhile alternatives too. You don’t have to turn every evening into an earnings calculation. You do need to understand what you’re giving up, especially when your calendar fills through small agreeable answers. A commitment can be good in isolation and still be the wrong use of the time you actually have.

• 33. Before delegating, count both the money you will spend and the time needed to explain, check, and fix the work. Ask whether the time you actually free up is worth that cost.

Hiring someone to do a task removes only the work they can complete without you. You may still need to explain the goal, supply materials, answer questions, inspect the result, and request changes. Ignoring that remaining work makes delegation look cheaper than it is.

Suppose a recurring report takes you four hours. Someone else prepares it, but briefing and review take ninety minutes. You’ve freed about two and a half hours, not four, and you still have the fee to consider. If the first handoff also requires building a template, that setup may be worthwhile over many repetitions even if the initial attempt saves little time.

Decide what those freed hours are for and what quality must survive the handoff. Better work, reliable coverage, and less exhaustion can justify delegation as well as additional income. Give the person a clear example of an acceptable result and a way to surface uncertainty early. You want a fair comparison between the full alternatives, not a flattering comparison between their fee and your imagined hourly rate.

• 34. Find the few efforts that produce most of the result. Equal time is a poor default when the returns are unequal.

A full calendar can hide how unevenly your effort contributes to the result. Some conversations lead to most of your useful opportunities. Some product problems cause most of the complaints. Some study habits produce understanding while others mainly produce the feeling of studying.

Look backward at actual outcomes and trace where they came from. If a few types of customer conversation repeatedly reveal important problems, protect time for them before polishing low-impact internal documents. If practice questions expose what you don’t understand, they may deserve more of your study time than rereading familiar pages.

This is a pattern to investigate, not a promise that every situation follows an exact eighty-twenty split. Be careful with work whose benefit is prevention: backups, maintenance, and checking mistakes can look unproductive because success means a problem never appears. Distinguish low visible output from low value. The aim is to allocate effort according to its contribution while preserving the supporting work that allows the most valuable activities to succeed.

Also check whether the apparent winner is repeatable. One large client may account for most of this month’s income, but depending entirely on that client creates a vulnerability. A successful launch may owe part of its result to months of quieter preparation. Concentrate effort where it contributes, while preserving enough support and alternatives that one change cannot remove the whole result.

• 35. When every step must work, one weak step can defeat the whole plan. Improve the bottleneck before polishing what already works.

Some results require a sequence of essential steps. A customer must discover the offer, understand it, decide to buy, complete payment, and receive what was promised. A serious failure at any required stage can prevent the overall result, even when the other stages are excellent.

Suppose a workshop attracts plenty of interested visitors, but the booking form fails on their phones. Improving the headline may attract more people to the same broken form. Fixing the booking problem matters because it lets interest you’ve already earned turn into attendance. This is a weak link: attempts fail as they pass through it.

A queue creates a related but different problem. Every booking might be processed correctly, but if one person must approve each one and cannot keep up, customers wait. This is a capacity bottleneck. The first problem needs a more reliable step; the second may need less work per booking, more capacity, or a simpler approval rule.

Check both failed attempts and waiting time before choosing what to improve. Then measure the final result, not just how busy or efficient one stage looks. Once the limiting point improves, another step may become the constraint. Keep examining the whole path rather than endlessly polishing the part you happen to enjoy working on.

• 36. Getting better at your current method can hide a better method. Test alternatives while the old one still pays for the experiment.

Getting skilled at a method gives you a reason to keep using it. You work faster, make fewer mistakes, and know what to expect. That competence can also make alternatives look worse because you’re comparing your practiced current method with your clumsy first attempt at a new one.

Imagine someone manually assembling the same weekly report. They become extremely fast at copying, sorting, and formatting. A better data export might eliminate much of that work, but learning it would initially slow them down. If they judge only the first attempt, they’ll keep improving a process that may no longer deserve the effort.

Protect the working method while testing an alternative on a limited example. Include setup time, reliability, quality, and the likely number of future repetitions in the comparison. Novelty alone is no reason to change. But neither is your existing competence proof that you’ve found the best route. Give the alternative enough room to demonstrate its value without gambling the output people are already relying on.

• 37. When you have time and results have flatlined, try new approaches. When time is short and results are climbing, double down on what works.

Experimenting spends time in exchange for the possibility of finding something better. Repeating a known approach uses what you’ve already learned to produce a result. Both are useful, but their value changes with your situation.

If you’ve been promoting an event for weeks with little response and still have time, another identical attempt may teach you very little. A different message or audience could reveal something useful. If a particular approach is producing registrations and the event is tomorrow, a major redesign may consume the time you need to do more of what is working.

Check the evidence behind the apparent trend. One unusually good result doesn’t establish a reliable winner, and a short flat period doesn’t prove the method is exhausted. Also consider what failure would cost and how much time remains to recover. You may keep a small experiment running beside the main approach. The useful question is how much learning is still worth buying before you need the result, given what you currently know.

• 38. Treat avoidance as something to investigate. A task may be too vague, too large, or aimed at a goal you no longer want. More pressure will not tell you which.

Avoidance tells you that you’re not doing something. It doesn’t, by itself, explain why. You may not understand the task, may expect it to be unpleasant, may lack a needed skill, or may no longer care about the outcome. More pressure can intensify the discomfort without separating those explanations.

Start with the task itself. “Build my website” contains decisions about the offer, the audience, the words, and the design. “Write one paragraph explaining who this helps” is something you can attempt. If making the next step concrete reduces the resistance, ambiguity was probably part of the problem.

If the resistance remains, investigate further. What do you expect to happen when you start? Is there a missing resource or a conversation you’re avoiding? Do you still endorse the goal? Not every worthwhile task will feel appealing, and discomfort doesn’t automatically mean you should quit. You want to identify whether the useful response is clarification, practice, support, acceptance of temporary discomfort, or a deliberate change of direction.

• 39. Attach each goal to a trigger you cannot miss. “After I put down my coffee, I open the draft” beats “I should write more.”

“I want to write more” leaves the timing undecided. Each day, you have to notice the intention, remember why it matters, and choose a moment to begin. A specific cue removes one of those decisions by connecting the action to something that already happens.

Choose a trigger you can recognize without interpretation, such as putting down your breakfast plate. Attach a small action: open the draft and write the next sentence.

The sequence is specific enough to observe: breakfast finishes, the plate goes down, the document opens, and you write. Keep the document easy to reach so the cue doesn’t lead immediately into a search for the right file.

Then check both parts of the arrangement. Did the trigger happen and did you notice it? If you noticed it but didn’t act, was the action too large or poorly matched to that moment? A breakfast cue won’t help if your mornings are consistently rushed. Adjust the sequence based on what actually happens. The cue gives the goal a place in your day; the small action gives you a practical way to begin when enthusiasm is absent.

• 40. For a small, reversible problem, set a five-minute timer. Finish it, discard it, or define the next physical action. “Think about it later” is not an outcome.

A minor unresolved task can keep returning to your attention without receiving any useful work. You remember it, feel the irritation, and postpone it again. The problem may be small, but the repeated interruption isn’t doing you any favors.

Give it a short, bounded attempt. If you need to find a receipt, spend five minutes looking in the likely places. You may find it, decide it no longer matters, or discover that the next step is requesting a copy from the vendor. Each result changes the state of the problem. “I’ll think about it” leaves you exactly where you began.

The timer limits the investigation; it doesn’t require a reckless decision when it rings. If the issue is larger than expected, define the next physical action and give it an appropriate time. Keep this technique for small, reversible work. Its purpose is to turn a vague open loop into something finished or actionable, not to impose an arbitrary deadline on a choice whose consequences you haven’t understood.

• 41. A cheap experiment can settle what another week of argument cannot. Choose the smallest action whose result could change your mind.

A disagreement can last because both sides keep rearranging the same information. One person thinks customers want a simpler offer. Another thinks they want more features. A longer meeting may produce more arguments without producing anything that distinguishes those beliefs.

Find the smallest test that could change the decision. You might show comparable customers two clearly described offers and measure a meaningful response. Decide beforehand what you’ll count, how long you’ll run the test, and which result would make you continue, change, or stop. Compliments aren’t an adequate substitute for a purchase if willingness to pay is the question.

A cheap test still needs to be informative. A handful of friends may give you useful feedback on clarity while telling you little about demand in a wider market. Keep the conclusion within what the test can establish, and seek stronger evidence as the commitment grows. The point is to spend a little effort making contact with reality when more discussion has stopped changing anyone’s understanding.

• 42. Imagine the plan has failed. Describe how it happened. Look for a plausible cause you can prevent or a warning you can catch early.

Plans are usually described as a sequence in which things go right. A premortem temporarily starts from the opposite end: the plan has failed, and you’re explaining the cause. That change makes it easier to discuss a weakness before anyone has to defend an actual mistake.

Suppose you’re organizing a small event. “Something could go wrong” is too vague to help. “The speaker canceled that morning and nobody had the material needed to replace them” identifies a specific dependency. You can now prepare a backup or decide what you’d tell attendees.

Generate plausible causes, then separate what you can prevent from what you can only detect early. Choose a few safeguards proportionate to the risk. You don’t need to build an elaborate defense against every imaginable disaster, and vivid failure stories aren’t probability estimates. Return to the reasons the plan could work after you’ve checked the risks. A useful premortem improves the attempt; it shouldn’t become a sophisticated way to frighten yourself out of making one.

• 43. Write your own view before asking AI for advice. Otherwise its first answer can become the assumption every later question protects.

The first coherent explanation you read can quietly establish the terms of the discussion. Once AI says the problem is your pricing, your next question may become how to change the pricing. You can spend a long conversation improving an answer to a question you never independently chose.

Before asking, write a short view of your own: what you think is happening, what evidence you have, what remains uncertain, and which decision you need to make. You might discover that you don’t yet have a view. Record that honestly, including the facts you would need to form one.

Now ask AI to examine the situation and compare its explanation with yours. Where do they differ, and what would settle the disagreement? The first note gives you a record of your starting point and makes changes in your reasoning visible. It doesn’t make your initial view superior. You should change it when better evidence warrants it. You’re creating a chance to think before a fluent answer makes one particular framing feel inevitable.

• 44. A question that contains your preferred answer invites agreement. Give AI the problem, the evidence, and the constraints before telling it what you hope is true.

If you ask, “Why is my plan such a good idea?” you’ve already assigned the model its conclusion. Even a softer prompt such as “Help me explain why this is the right move” directs attention toward supporting arguments. The response may be useful advocacy, but it shouldn’t surprise you when it agrees.

For an assessment, give the situation first. Describe the options, relevant evidence, constraints, and what success would mean. Ask what each option gets right, where it could fail, and what information is missing. Research on sycophancy in language models has documented assistants favoring agreement with user beliefs, which is one reason to avoid treating a pleasing response as independent confirmation.

Your preferences still belong in the decision. Wanting more family time or less travel is relevant information, not an error to conceal. The distinction is between giving the model your actual values and feeding it the conclusion you want endorsed. A neutral prompt helps you examine the trade. It doesn’t guarantee an unbiased or correct answer.

• 45. Ask AI for the strongest objection to your plan and the strongest case for the alternative. Give it a disagreement worth investigating.

A useful objection identifies something that could make your plan fail or make another option better. “There are risks” is too vague. “This requires ten hours of work each week, and you currently have three available” gives you a concrete conflict to examine.

Ask AI for the strongest supported objection, not a long list of everything that could conceivably go wrong. Also ask it to make the best fair case for the alternative. That second request can reveal benefits you’ve minimized because you already prefer your own plan, such as reliability, simplicity, or the freedom to change direction later.

Then investigate the claim doing the real work. Are ten hours actually required? Could you reduce the scope? Does the alternative really avoid that constraint, or merely hide it somewhere else? Don’t manufacture equal strength between options when the evidence favors one. The purpose of the exercise is to find an objection that deserves your attention and determine whether it changes the choice. Producing disagreement is only the beginning.

• 46. An AI criticism needs checking as much as an AI compliment. A model can invent reasons you are wrong just as fluently as reasons you are right.

Criticism can sound more sophisticated than praise. A model that finds a flaw appears to be thinking independently, especially when it uses confident language and explains the objection neatly. But it can produce an unsupported criticism with the same fluency as an unsupported compliment.

Suppose AI says your article contradicts itself. Ask it to identify the two passages and explain the conflict. You may discover a real inconsistency. You may also discover that one passage applies to small reversible decisions while the other applies to commitments with serious consequences. The criticism missed a distinction the article already made.

Turn the feedback into claims you can inspect. Check quotations against the text, factual assertions against sources, and predictions against whatever evidence is available. Revise when the criticism survives that check. Reject it when it doesn’t. Asking another model can surface a different view, but agreement between models isn’t automatically independent confirmation. What makes feedback useful is the reasoning and evidence underneath it, not whether the tone is flattering or severe.

• 47. Count the cost of explaining, supervising, checking, and repairing delegated work. An answer generated in seconds can still take hours to trust.

The time shown on an AI generation is only one part of the job. A report may appear in thirty seconds and still require extensive checking before anyone should rely on it. If you count the generation time while ignoring the verification, you can mistake transferred work for eliminated work.

Consider a spreadsheet summary. You need to provide the correct data, explain which rows count, check that the totals match, and investigate suspicious conclusions. If you already have a dependable formula that produces the answer, a long AI conversation may be the slower route. For a different task, AI might remove substantial work even after review.

Compare the complete process with a realistic alternative. Define an acceptable result before delegating, and make errors easy to detect. Start with bounded work whose inputs and outputs you can inspect. As reliability improves, the appropriate scope may grow. The test is whether the whole assignment becomes easier to complete to the required standard, including the cost of fixing mistakes and the consequences of missing them.

• 48. For a consequential decision, state what you chose and why in your own words. An explanation you cannot give without the model is a decision you are not ready to own.

You don’t need to personally know every fact behind a decision. We all depend on other people’s expertise. You do need enough understanding to explain the choice you’re making, the advice you’re relying on, and the risk you’re accepting.

Close the chat and describe the decision to someone who hasn’t read it. What are you choosing? What evidence supports it? What is the strongest reason against it? What would cause you to reconsider? If your explanation reduces to “AI said this was best,” you haven’t yet made the reasoning your own. Notice where you get stuck. Perhaps you understand the recommendation but not the probability attached to it. Perhaps a key term remains vague. Ask for an explanation, inspect the source, or consult someone qualified for the decision. Being able to repeat fluent language isn’t the acceptance check. You should understand enough to identify the assumptions, recognize an important exception, and explain why the choice fits your actual circumstances.

• 49. Let being wrong cost you an opinion before it costs you another year.

An opinion becomes expensive when protecting it determines what you continue to do. You keep pursuing an offer people don’t want, defending a method that no longer works, or waiting for a situation to become what you originally expected. The cost grows while the belief stays comfortably familiar.

Suppose you believe a certain service is what your customers need. Repeated conversations point to a different problem, but you’ve already built the materials and told people your plan. Changing direction now would be embarrassing. Continuing may feel easier today while consuming months you could use to build something more useful. Separate the work you’ve already spent from the value of the next commitment. What would you choose now if you encountered the same evidence without needing to defend your earlier prediction? That question doesn’t require abandoning a worthwhile effort after every setback. It requires giving new evidence a fair chance to change your course. You can acknowledge that an opinion was reasonable when you formed it and still decide it no longer deserves another year.

• 50. Borrow ideas. Take responsibility for what you do with them.

You should learn from other people. Their ideas can spare you mistakes, reveal options you hadn’t considered, and give you a clearer way to understand what you’re experiencing. Taking responsibility doesn’t require pretending you invented everything yourself.

It does require judging where the advice applies. A method that works for an experienced business owner with savings and an established audience may be a poor fit for someone starting from scratch. An AI explanation may be useful while containing one assumption that makes its recommendation wrong for you. Credit the source, inspect the relevant evidence, and adapt the idea to the conditions you actually face.

That applies to this essay too. Pick a maxim that speaks to a real problem, explain why you think it fits, and try an appropriate action. Then pay attention to what happens. If the result challenges the advice, investigate the difference. Borrowing an idea gives you something to work with. What you choose to do next, and how honestly you learn from it, remains your responsibility.

By Payton Bilodeau

P.S. If you are still confused on any of these, take the time to sit with them and think about what they mean, and/or use an LLM to help you understand them.

Being capable of winning is a poor reason to spend your life competing. Before you work harder at a goal, it’s worth checking what the prize would actually give you.

Before you improve the strategy

In a video published this week, Alex Hormozi makes a distinction ambitious people can easily skip: knowing how to win a game doesn’t mean the game is worth playing. He asks you to examine the competition itself, including who designed it, whether you want its prize, and what winning costs outside it.

That question comes before the familiar advice to be more disciplined. Discipline can help our photographer become a better competition entrant. It cannot decide whether spending Saturday producing an impressive submission is preferable to spending it noticing things nobody else would photograph.

Both are legitimate ways to use a camera. The problem begins when becoming better at one quietly replaces wanting it.

Why the reason matters

In a 1999 study, psychologists Kennon Sheldon and Andrew Elliot followed 169 University of Rochester students for a semester. Each listed ten personal goals and rated why they were pursuing them. The researchers distinguished enjoyment and personal importance from reasons such as outside pressure or avoiding guilt.

About once a month, the students reported how hard they were trying and how well their goals were going. Students whose goals more closely reflected their interests and values tended to report more sustained effort and greater progress.

The researchers hadn’t assigned people better goals. They were observing students and relying on their reports, so this cannot establish that changing your reason causes better results.

A later review of 77 studies supported the broader connection between personally endorsed goals and effort or progress. It also found that the more tempting promise, that achieving those goals produces a bigger increase in well-being, had too few studies to combine reliably, with mixed findings in those that addressed it. Much of the literature was correlational.

That leaves a useful, modest question: what reason will you have to keep doing the work when nobody is impressed? You don’t need a guarantee of happiness to give that question an honest answer.

A score cannot choose for you

A competition supplies an unusually clear definition of success. Submit the photograph. Get shortlisted. Win. You can see how you’re doing without having to explain what matters to you.

Enjoying photography is less tidy. Perhaps you want to learn to see light, make a record of your children growing up, or spend an afternoon outside without turning it into another performance. Those purposes require judgment. A judge’s ranking offers a ready answer to a different question.

There is nothing wrong with wanting the ranking. Competition might introduce you to better work, give your practice direction, or be enjoyable in its own right. But those are reasons to choose it. They’re different from continuing because you’ve discovered you might be good enough to win.

Suppose the photographs you most like making rarely get selected. You have a real choice: learn the competition’s preferences, find a different competition, or keep making the photographs. Your skill could improve under any of those choices. The number beside your name cannot tell you which improvement you want.

That is why the prize needs a description beyond “success.” What would winning let you do, experience, or contribute? If the answer is mostly that people would know you had won, be honest about whether that is worth the repeated work.

Difficulty is a separate question

This can become a very convenient argument for abandoning anything the moment it gets uncomfortable. A frustrating afternoon is weak evidence that you’ve chosen the wrong goal. Learning to use a camera includes spoiled pictures and confusing settings, even when you love the work.

Nor does a worthwhile goal have to be entertaining. Keeping a promise or supporting someone you care about can be reason enough to do something tedious. You don’t need to dress every responsibility up as a passion.

The place to start is an optional ambition, especially one you’re considering expanding. Ask whether the outcome still deserves the cost, then distinguish that answer from how you feel about today’s difficult bit. If you still want what the effort is for, the next step may be to continue, with a clearer reason.

Put one goal to the test this week

Choose one optional goal before adding more time, money, or commitments to it.

1. Describe the prize. Finish this sentence: “If I succeed, I’ll be able to…” Make the answer concrete enough to picture an ordinary day afterward. A title or ranking alone leaves the useful part unexplained.

2. Write down the recurring price. Include what the pursuit asks you to do and what it displaces. For the photographer, that might mean enjoyable editing practice, unwanted purchases, and walks spent hunting for a submission. Count the parts you welcome as well as the sacrifices.

3. Try one version that serves your reason more directly. If wandering with a camera is what you miss, take one walk without preparing an entry. If competition is what you enjoy, keep preparing it. Afterward, compare what you did with the prize you named and the costs you listed. One attempt gives you something specific to consider; it doesn’t settle your whole future.

You may decide the prize is worth it. Good. Now you can pursue it with a reason that survives beyond the next result.

Or you might leave the competition behind and still take the camera out on Saturday. The light will fall across the buildings either way. You can stop to photograph it without wondering where the picture will place.

P.S. By the way, an AI wrote these sentences from the creators’ videos, newsletters, and posts Payton actually consumes week after week. He built the system that makes this letter, and he will keep putting it out once a week. He put his taste and judgment into what good looks like, and into how to avoid bad. He wants to be fully transparent about that.

That is a strange penalty to impose on yourself. The interruption took an hour. Writing off the afternoon is an additional decision, and it deserves more scrutiny than the interruption usually gets.

The gym was still open

In a field experiment with 2,508 Google employees, researchers tested two ways of rewarding exercise. Everyone selected a daily two-hour window and received reminders. For four weeks, some groups earned $3 or $7 for a qualifying weekday gym visit at any time; others earned those amounts only if they started inside their chosen window. A control group received no per-visit payment.

The study estimated about 0.19 more gym-visit days per week in the flexible groups than in the fixed-window groups. That is a small difference, roughly one extra visit per five weeks at that rate. The stricter arrangement produced more visits during the preferred hours, but fewer overall.

These were volunteers with workplace gyms, and the researchers measured attendance rather than fitness gains. The experiment did not establish why missing a slot can feel like failure, or test a preferred time plus a backup. Still, the result gives us a reason to question a rule that rejects an otherwise useful opportunity because it arrived at the wrong hour.

Give the commitment another time

Consider someone learning Spanish who has chosen breakfast as the time to practice. Most mornings, that works. Then a child needs help finding a school project, breakfast becomes a rescue operation, and the lesson gets missed. There may be a perfectly usable opening after dinner, but it was never part of the plan.

A sensible experiment would be to decide in advance that dinner is the alternate opportunity when breakfast falls through. You keep the same lesson and preferred time, but give an ordinary interruption an answer other than waiting for tomorrow.

That answer needs to be specific enough to use. “I’ll fit it in somewhere” leaves you scanning the day for a moment that feels convenient, while “after I put the dinner dishes away” names a moment you can recognize. You also have to check that it is available. A backup that collides with the evening school run is another imaginary appointment.

There is no need to redesign your whole life around this. Choose one activity whose timing is yours to move, then see whether an alternate opportunity helps you complete it on days when the usual one disappears.

Leave room to stay in

In his September 10 letter on perfectionism, Mark Manson argues against turning a small deviation from a plan into a declaration of failure. His suggested response is useful: “That didn’t go as planned. I’m still in.”

I like the second sentence because it leaves you with an obligation. You are still responsible for deciding what happens next. Accepting that the morning went badly does not require pretending the commitment no longer matters, and it does not require punishing yourself with a more demanding plan tomorrow.

We often talk about discipline as refusing to bend. For an activity you control, bending the timing may be the decision that protects the work. An evening language lesson can satisfy the same intention as a morning lesson, even if it lacks the pleasing atmosphere of coffee, silence and an untouched inbox.

Of course, an alternate slot can become an excuse. If you keep pushing the task into the evening and then pushing it into tomorrow, the new arrangement is helping you defer it. Look at what you completed. If completion drops, tighten the plan, change the main slot or admit that you have committed to more than the week can hold.

Some times are also part of the task itself. A class, a meeting or a promise to pick someone up cannot be moved by deciding to be flexible. This idea belongs with the appointments you make with yourself, where another time would still do the job.

Three things to do this week

1. Pick one activity that gets canceled when its preferred slot disappears. Name what completion means without mentioning the clock: finish the language lesson, read the chapter or make the planned visit. Check that changing the time would still fulfill the commitment.

2. Choose a real alternate opportunity and the event that activates it. For example: if the morning lesson is displaced by a family responsibility, do it after the dinner dishes. Leave the usual slot in place. The alternative is there to handle a disruption, so it needs enough time and the materials the activity requires.

3. At the end of the week, check what happened on the disrupted days. Did the alternate slot lead to completion, or did you keep moving the task? Keep it if it helped. If it did not, change the arrangement instead of granting yourself another indefinite extension.

The bag comes home empty

Imagine arriving home after the workout you nearly canceled. It happened later than you wanted, and you had to change the order of a few things. There was no satisfying sunrise, and you did not become a person with an immaculate morning routine.

But now the clothes from your gym bag are in the laundry. The bag that could have sat untouched by the door is empty, ready to be packed for the next visit.

P.S. By the way, an AI wrote these sentences from the creators’ videos, newsletters, and posts Payton actually consumes week after week. He built the system that makes this letter, and he will keep putting it out once a week. He put his taste and judgment into what good looks like, and into how to avoid bad. He wants to be fully transparent about that.

The firing threat is the receipt. The code had looked fine. It compiled, and it read like something a competent person would ship. Then it took the product down twice.

Newport has been collecting notes like this from people who actually ship software. Last winter, more than 300 developers answered a survey for him about how they were using these tools, yet the story that stuck was not a benchmark. It was a person who still had to go to work the next morning.

If you cannot stand behind a change, you did not make it. You rented a paragraph that sounded like work.

The obvious reply is that he prompted badly, or that the next model will stop crashing products, or that this is just how junior engineers used to learn, except faster. Those are fair points, although they skip the part that actually cost him.

Newport’s later essay is drier than the panic around it. These systems are trained to guess missing words from real text, so they get very good at output that belongs on the page. Plausible is the job they were built for. Finished is a different job, because finished means you can defend the edge cases when the thing is live. A sentence that looks like code is still a sentence. The model is aiming at what is likely to appear in text, not at what ought to be true in the product.

Labs then let the same kind of loop run with less watching: ask, act, report. The output can still sound like a plan, but sounding like a plan is not a plan you would bet your job on. You do not need a sci-fi story to see the cost. You need one engineer who almost lost his.

The tool is normal. It is a saw. A saw will cut the board, and it will also cut the table if you are not holding the work.

Alex Hormozi put the limiter somewhere other than a missing playbook. Businesses can get very big, but not every person running one can, because they cannot stay focused, they are impatient, and they quit too easily. That means you do not lack tactics. You lack character. The character here is staying on the known-hard part after the tool has already given you something that looks done. Anyone can accept the first draft that compiles. The known-hard part is reading it like you wrote it, because you are the one who gets fired. Tactics are new models, new agents, and a new version of “just let it run.” Character is refusing to ship a crash you cannot explain.

Steven Bartlett sat in that same place without a coding tool. He went for an interview at LBC, but they never called back, and they never even gave him feedback, so he started a podcast on YouTube in his kitchen. Permission collapsed, yet the work was still his. The kitchen did not look finished, and that is why it counted.

That sounds backwards if you bought the pitch, because the whole pitch is that you should stop touching the boring parts. After two crashes, the engineer did the opposite. He touched more of it, on purpose.

You can still use the tool. Use it the way you use a calculator. You do not outsource the exam, and you do not paste an answer you cannot walk to the board.

Newport’s survey crowd was not arguing that the models are useless. They were arguing that we still do not know the long-run way to use them in the one job they are supposed to be best at, which is code, math-shaped work, the cleanest case. If the cleanest case still produces two crashes and a firing threat, then “it looks done” is not a standard.

The standard is whether you would put your name on this if your boss was already counting, not whether it resembles a pull request, and not whether the agent filed a report. If you cannot stand behind it, you did not do it. You watched it get written.

Better to ship less that you can defend than more that you only hope will hold. That costs speed, but it keeps the job.

P.S. By the way, an AI wrote these sentences from the creators’ videos, newsletters, and posts Payton actually consumes week after week. He built the system that makes this letter, and he will keep putting it out once a week. He put his taste and judgment into what good looks like, and into how to avoid bad. He wants to be fully transparent about that.

P.P.S. Echo Improvement is an AI-written Substack Payton wanted to read, because he kept ignoring the newsletters already sitting in his inbox. He is doing the same thing with his AI letter, AI Mentorship. When an issue is AI-written, this note will say so. When he is inspired to write one himself, top to bottom, that will be obvious too. Stay tuned for that.

The first field I did this with was health and fitness.

I spent a year obsessing like crazy over the gym. Workouts, form, technique, dieting, heart rate, cardio, lifting, the whole nine yards. I spent a summer getting certified as a personal trainer and studying the body. I binge watched Dr. Mike Israetel’s channel, Renaissance Periodization. He’s an exercise scientist, most of the things he says is backed by actual research, and I went through his podcasts too.

That single year took me to the point where I know health and fitness better than about 90% of the population. Probably higher, more like 95%. Anyone can ask me anything they want. Proper form on any exercise in the gym, the best way to grow muscle or lose fat, how to eat a healthier diet, what the various diets actually are, how to improve their cardio, how to improve their heart health, et cetera.

I believe I’ve recently hit that same point with AI.

I’ve been teaching AI for over a year now. Making videos about it, testing all the various tools constantly, 40 hours a week for work. Then I do it outside of work too, so realistically it’s closer to 60 hours a week or more. That’s before counting everything I’ve done in ChatGPT since 2023.

All of that got me to a point where I know the foundations of how to be great with AI. And believe it or not it’s relatively simple. Simple enough that I can put the whole thing in one post. So that’s what this is.

1. Get a high agency mindset

Yeah, I know. “Oh gosh, mindset…here we go.” Just stay with me.

High agency means believing you can solve any problem put in front of you. You’re the master of your domain. There’s a way through and you’re going to find it. If you want that idea properly drilled into your head, go read the copy on highagency.com. It’s the best explanation of it out there and it’s free.

Here’s why this one comes first. Once you actually have that mindset, you realize AI lets you figure out almost anything, learn almost anything, and do almost anything (in some ways). I genuinely feel like I could get thrown into almost any job position at almost any company and excel at it, once I get my AI systems in place.

That’s not just the confidence in me. That’s the mindset plus the amazing tool.

2. Pay for a subscription

This is the entry fee and it’s low.

Skip eating out once a week and you’ve covered it. That trade gets you an insane level of artificial intelligence that can radically help you in almost every area of your life and work, assuming you know what you’re doing (which you can ask it to teach you). The free tiers are basically demos with worse levels of intelligence. The paid tier is the actual product and how you can get ahead.

3. Put your reps in with prompting

There are a thousand prompting techniques and frameworks and ultimate guides out there. At the end of the day, all you really need is reps, clear instructions, and good context. That’s it. That’s the whole thing.

The fastest way to get those reps is voice mode. Dictate your prompts instead of typing them. You speak way faster than you type, you naturally give more context when you talk, and honestly it feels like you’re working with J.A.R.V.I.S. from Iron Man.

That does not mean yap mindlessly. It means give good instructions and good context, quickly. And obviously, still type when you’re somewhere you can’t, or shouldn’t, talk out loud.

The nice thing is this is a moving target in your favor. These models get better at understanding what you actually mean every few months.

4. Actually look at what you’re paying for

Most people use a tiny fraction of the subscription they already pay for.

Spend 30 to 60 minutes clicking every single button in your AI interface. Every tab, every toggle, every menu, every setting. You’ll find three or four things you had no idea existed and at least one that changes how you work. Then follow the company on X (seems to be the best hub for AI news and updates) so new features show up in your feed instead of you finding out a year later.

5. Treat it like the internet

If you’ve ever sat down to do work on your laptop and pulled up the internet (aka almost everyone, everyday now), do the exact same thing with AI. Have it open. All the time. Use it alongside most, if not all, of what you do.

Stay curious, keep testing, keep learning it better. That’s how you build the habit and your AI muscles.

6. Build systems that make action effortless

This is the one that actually changes your day to day.

AI connects to so many different softwares and apps and services now. It can use their tools directly, and at this point all you have to do is sign into your account. From there you can set up entire workflows just by telling it what you want. Skills, scheduled tasks, automations, the works. It’s all just natural language. You literally just tell it to do the thing and it does it. A five year old could do it.

Once that clicks, the only real limit is your imagination:

• Give your AI its own phone number. Mess around with something like a Hermes agent and you’ll have it texting you.

• Keep local memory files on your laptop that it can pull from any time and expand.

• Automate an entire newsletter, images and all.

• Scrape your KPIs on a schedule.

• Etc, etc, etc.

And now there are skills, where you teach the AI how you do a specific process once and it just knows from then on. Which means you can stop repeating yourself. Get this, you can even setup an automation for it to iterate those skills as you work with them and create self-improvement loops.

That’s really it

I could keep going, but at the end of the day it really is that simple:

• High agency mindset

• Pay for the thing

• Put your reps in with prompting and get comfortable with voice mode

• Explore the tools you already have

• Use it alongside most of what you do

• Build systems that make action effortless

The last part is the one that took the longest to feel the tangible tactical benefits of AI in my bones. If it’s in your imagination, the computer can do it. And it can teach you anything, meeting you at whatever level you’re at.

It’s the ultimate tool. You just have to pick it up.

If you want direct AI Mentorship from me go here: aimentorship.co

I know that sounds backwards. The common story is simple: AI gets smarter, one person with AI does the work of three people, and the other two get pushed out. That will happen in some places. A computer-only job that is mostly moving words, files, schedules, or pixels around is going to be under pressure.

But I think the unemployment story is too small. It assumes the economy is a fixed pile of tasks. If machines do more of the pile, humans get less of it. That sounds neat, but life rarely works that way. Jobs exist because problems exist, and the number of problems people would pay to solve is far bigger than the number we currently have the labor, skill, and attention to handle.

The mistake is imagining a fixed pile

Economists call this the lump of labor fallacy, which just means assuming there is a fixed amount of work to go around.

That assumption breaks quickly. When electricity got cheaper, we found more things to do with it. When computing got cheaper, we built companies, media channels, marketplaces, tools, games, schools, and entire careers around it.

AI may do the same thing to intelligence. If good thinking, planning, drafting, coding, editing, and analysis get cheaper, the world does not automatically need fewer people. It may try to do far more.

This is where the optimistic case starts to make sense. AI can replace some labor, and it can also reveal hidden demand. It makes plans, experiments, and coordination cheaper. Then the world runs into the next bottleneck: people who can do the parts that still require a body, a reputation, a relationship, or a real point of view.

The digital work gets cheap

I see this in my own work.

If AI Mentorship grows the way I want it to grow upon relaunch, AI can help me outline lessons, write drafts, build worksheets, test offers, cut clips, organize notes, and answer basic questions. Which means a one-person business can suddenly behave more like a small team.

The tools move the scarce part of the work closer to me.

Someone still has to decide what is true enough to teach. Someone has to know what beginners are actually confused about. Someone has to test the tools, notice where people get stuck, tell the story on camera, and make judgment calls when the AI produces something that sounds good but misses the point.

Echo Improvement is the same. AI can help me gather references or clean up a draft, but it cannot live my life, carry my questions, notice the weird little tensions I cannot stop thinking about, or decide what sentence feels honest. The more generic writing will get automated, the more a real point of view that requires experience won’t.

The physical world pushes back

Dr. Mike Israetel uses a protein bar example in his video that inspired me to write this, and I think it gets the point across fast.

Imagine AI agents can design the formula, compare ingredients, model costs, create ad campaigns, write landing pages, negotiate with suppliers, and forecast demand. Great. The digital side is moving fast and is handled.

But someone still has to taste the bar.

Someone has to notice that the texture is chalky, that the wrapper feels cheap, or that the thing technically meets the spreadsheet but no normal person would buy it twice. Someone has to run the factory, check the batch, film the real reactions, talk to customers, and put a human face on the promise.

That same pattern will show up everywhere. AI can plan a restaurant, but people still eat the food. AI can write travel recommendations, but someone still has to walk through the hotel and see if the gym is tiny, the room smells odd, or the staff is kind. AI can design a lesson, but someone still has to watch a beginner’s face when the explanation clicks.

The real world is full of information that does not exist until a person goes and gets it.

The scarce input becomes trust

This is the part I think most AI panic misses.

When AI agents become common, access to intelligence becomes less rare. Everyone will have help drafting, planning, researching, editing, scheduling, comparing, and building. The difference between people will shift toward taste, courage, speed, honesty, relationships, and contact with reality.

That is good news for people willing to adapt.

It means the person who knows an industry deeply gets more dangerous, not less. The coach who understands real students gets more reach. The creator with a real life, a real taste, a real personality, and a real audience gets more output without becoming fake.

Of course, there will be pain in the transition. Some jobs will get hit. Some people will have to move, retrain, or rebuild their sense of value. That is serious in the short term, but it is a temporary disruption.

There is a difference between disruption and doom.

Your agent may become your scout

The strongest part of the optimistic argument is that AI will change the individual worker’s ability to navigate.

If agents are good enough to replace huge chunks of computer work (if not all), they should also be good enough to help a person find new work. Your agent could study your skills, your temperament, your location, your constraints, and the jobs opening around you. It could find training before demand becomes obvious, prepare you for interviews, and help you get better once you start.

That sounds strange only because we are used to career matching being sloppy. Most people choose careers with a few conversations, a school counselor, a search bar, and a lot of guesswork. A serious personal agent could make that look medieval.

So the same technology that shakes the job market may also make people better at moving through it.

The practical takeaway

I would not build my life around “AI cannot touch me.”

That is a bad bet. AI will touch almost everything.

The better bet is to become the kind of person AI needs in the loop. Build taste. Build domain skill. Build trust. Build a real audience or real relationships. Get good at prompting, editing, testing, and deciding.

If you run a personal brand, do not hide from AI. Use it to remove the sludge. Then put more of yourself into the work that remains.

If you run a business, ask what becomes possible when planning, writing, research, and coordination get cheap. Then ask what human bottleneck appears next. It might be sales calls, product testing, filming, customer trust, physical delivery, service quality, or leadership.

If you are scared for your job, take the fear seriously, but do not let it shrink your imagination. Start learning the tools, study your field, and build skills that touch reality.

The bottleneck is us

The future may not be a clean victory lap. Technology never spreads evenly. Institutions move slowly. Regulations can make transitions clumsy. People can get hurt in the gap between the old way and the new way.

Still, I think the deeper story is more hopeful than the panic version. AI changes where humans are needed most.

When intelligence gets cheap, reality gets expensive.

The person who can test, taste, teach, judge, trust, lead, care, and show up in the real world becomes harder to replace, because those things do not live inside a computer.

AI will do more of the work than any technology before it. That points to a stranger possibility: the world may finally have enough intelligence to notice how much human work was waiting to be done and give humans that work.

Credit: This piece was inspired by Dr. Mike Israetel’s video “AI Won’t Cause Unemployment | Episode #142” on his Making Progress channel.

Cultural relativism is useful, actually, it is necessary.

It stops you from looking at someone else’s clothes, food, manners, family structure, religion, or traditions and instantly thinking, “That is wrong.”

Because a lot of the time, “wrong” just means, “That is not what I grew up with.”

Which is just your comfort zone talking, it’s not a moral argument.

But there is a point where tolerance stops being wise and starts becoming cowardice. There is a point where “that is their culture” becomes a polite way of saying, “I do not want to deal with the fact that people are suffering.”

That is the line we are going to discuss, so let’s begin.

Difference is not decline

Some differences are just differences.

Hijab or no hijab. Living with your parents as an adult or moving out at eighteen. Eating with your hands, chopsticks, or a fork. Being direct like a German engineer or polite like someone trying to escape a conversation without hurting anyone’s feelings.

Who cares?

A fork is not a moral achievement. It is a utensil.

A buzz cut is not social collapse. It is hair.

A family living under one roof is not automatically failing. In some cultures, it means support, childcare, intergenerational stability, and actual family life instead of everyone being isolated in their own little apartment, pretending independence means never needing anyone.

Even arranged marriage needs more nuance than people usually give it. Forced marriage is obviously wrong but a voluntary arranged marriage, where the person actually consents and trusts their family or community to help them choose well, is not. You can view it like structured dating with more family involvement.

Maybe it is not for you.

Fine.

Not everything needs to be for you.

That is where cultural relativism does its job. It saves us from confusing personal preference with moral truth.

Most judgment is “ew” pretending to be ethical

This is where people get themselves in trouble.

They see something unfamiliar and immediately reach for a moral label.

Degenerate. Backward. Oppressive. Uncivilized. Wrong.

Sometimes those words are accurate. Often they are not. Often they just mean, “I have a strong emotional reaction to this thing, and I would like to pretend my reaction is philosophy.”

That is weak.

If someone dresses differently, eats differently, parties differently, speaks differently, or looks different, you need a better argument than “it feels weird to me.”

Does it hurt anyone? Does it remove someone’s freedom? Does it make children less safe? Does it deny people education? Does it trap someone in violence?

If not, calm down.

You are allowed to dislike things. You are not allowed to turn every dislike into a universal law.

Humans are not blank slates

Here is where the argument turns.

Yes, cultures differ. No, that does not mean every culture is equally good for human beings.

Humans are not infinitely flexible blobs that can be shaped into anything with no consequences. We have deep universal preferences. We do not like pain. We do not like starvation. We do not like slavery. We do not like being chronically unsafe. We do not like being separated from people we love for no good reason. We do not like being treated as less than human.

We want some autonomy. We want some dignity. We want children to be cared for. We want the chance to learn. We want rules that do not protect elites while crushing normal people.

These are not Western quirks.

These are human basics.

You can welcome difference and still have a checklist of things that go too far.

Having both is the mature position. Not “everything is fine.” Not “everyone should live exactly like me.” I believe the mature position is: a lot of difference is beautiful, and a lot of suffering is not.

Harm is not culture

This is where cultural relativism breaks.

Spousal abuse is not a harmless tradition. Slavery is not an alternative economic model. Girls being denied education is not a cute cultural detail. Female genital mutilation is not just “how some people do things.” The WHO (World Health Organization) says more than 230 million girls and women alive today have undergone FGM (Female Genital Mutilation), and it classifies the practice as a human rights violation.

Afghanistan is not just “different” because girls are barred from education beyond the primary level. UNESCO (United Nations Educational, Scientific and Cultural Organization) has described Afghanistan as the only country in the world where girls and women are forbidden from secondary and higher education.

Modern slavery is also not some ancient problem we solved and now only talk about in history class. The ILO (International Labour Organization), Walk Free (an independent human rights foundation), and IOM (International Organization for Migration) estimated that 50 million people were living in modern slavery in 2021, including forced labor and forced marriage. Which means in 2026, millions are STILL IN SLAVERY, which is appalling and ridiculous.

This is why “every culture is equally valid” becomes insane when pushed too far.

Every culture is NOT equally valid.

Not if people are being beaten. Not if children are being denied education. Not if women are treated like property. Not if citizens are starving while leaders eat comfortably. Not if people are enslaved.

That is not diversity.

That is suffering with “better” branding.

Safety counts too

Safety is one of the most underrated human needs, mostly because people in safe places forget what unsafe places feel like.

If your kid cannot walk to school safely, if your business gets robbed, if your neighborhood is controlled by violent people, if you hear gunshots outside, you do not experience that as some abstract policy debate.

You experience it as hell.

This is why El Salvador is such an uncomfortable example. The country’s homicide rate fell dramatically from its peak, reaching a historic low in 2024 according to official figures, but the crackdown also came with suspended rights, mass arrests, deaths in custody, and serious due process concerns.

Both things CAN be true.

People desperately want safety and governments can abuse power while providing it.

That is a hard thing to accept about our world.

If you only care about civil liberties and ignore the families trapped in violent neighborhoods, you are missing something. If you only care about order and ignore innocent people getting swept up by the state, you are also missing something.

The point here is not that safety justifies anything, the point is that safety is not optional.

A culture or system that leaves normal people chronically unsafe is failing at one of the core jobs of civilization.

So what do we do when a culture crosses the line?

Once you admit some practices are actually wrong, the next question is harder.

What do you do about it?

The first option is to pretend everything is fine. This is the cowardly version of tolerance. “Who are we to judge?” “That is just their way.” “Maybe they like it.”

NO!

Little girls do not secretly love being denied school. People do not secretly love slavery. Spouses do not secretly love being abused. Children do not secretly love being neglected.

That is nonsense.

The second option is to respect sovereignty and accept that cultures change slowly. This is not a stupid view. War is horrible. Foreign intervention often creates new problems. A country trying to forcibly remake another country can become arrogant, destructive, and clueless very quickly.

So yes, humility matters.

But humility cannot become moral sleepwalking. At some point, “we should be careful” becomes “we are doing nothing.” And doing nothing IS still a choice.

The third option is to have a decency cutoff.

Below that line, pressure becomes justified. Social pressure. Political pressure. Economic pressure. Legal pressure. In extreme cases, maybe even military pressure, although that should never be spoken about casually because the costs are enormous.

But the basic idea is simple:

There should be a minimum standard for how human beings are treated.

Below that standard, “that is their culture” is not enough.

Freedom needs rules

This is not only about faraway places. It applies inside a country too.

A healthy society can be extremely welcoming. It can let people bring their food, language, religion, music, clothes, holidays, family traditions, and weird uncle stories.

Those are all good things.

They’re all part of what makes a country alive.

But welcoming people does not mean accepting every practice they bring with them.

You can wear traditional clothes. You can speak your language. You can eat your food. You can pray how you want. You can celebrate your holidays.

You cannot force someone into marriage. You cannot keep children from school. You cannot abuse your spouse. You cannot treat adults like property. You cannot claim your culture gives you permission to violate the basic rights of another human being.

That is not xenophobia.

That is civilization.

The best societies are not blank slates where anything goes. They are places with wide freedom inside firm boundaries.

Lots of room to be different.

No room to brutalize people.

The line

The cleanest way I can think about this is to judge cultures and systems by human outcomes, not aesthetics.

Not tattoos. Not hair. Not food. Not clothes. Not volume level at parties. Not whether people use forks.

Judge the stuff that actually matters.

Freedom. Safety. Education. Dignity. Fairness under the law. Care for children. Economic opportunity. The ability to build a life without being crushed by violence, corruption, starvation, or forced obedience.

On those metrics, some cultures and systems ARE better than others.

That should not be controversial.

If one dog is tied outside in freezing weather, another dog is eating garbage beside a dumpster, and another dog is at a good doggy daycare with food, warmth, play, and care, those are not just “three equally valid dog lifestyles.”

One is clearly better for the dog.

Humans are more complicated than dogs, obviously, but the principle holds.

If a system helps people live safer, freer, healthier, more dignified lives, it is better. If it does the opposite, it is worse.

Cultural relativism is valuable because it stops our ego from pretending to be morality. It reminds us that difference is not automatically decline.

Which is a HUGE deal.

But some things ARE actually wrong. Not because they are unfamiliar. Not because they offend our taste. But because they violate the basic needs and dignity of human beings.

So the rule is simple:

Do not confuse “weird to me” with “wrong.”

But do not confuse “their culture” with a permission slip for suffering.

That is the line we all need to be made aware of and adopt.

Talking about someone’s looks, and how much those looks decide their life, is treated as rude at best and cruel at worst. So we don’t talk about it. Instead we talk endlessly about something like how much easier life is when you are rich. Isn’t it weird how we go quiet when the same thing is true about being hot?

Call me superficial. Pile on the hate. It will not change the reality, the facts, and the data, and it will not change what you already do.

If you are single and two people slide into your messages, you go for the more attractive one nine times out of ten. You walk into a restaurant, you look up, and an attractive person is serving you. The whole interaction is now much warmer. You are easier, kinder, more patient. Look up and see a face you would rate a two, and something in you flinches before you can stop it. You might get a little stiff. You might even avoid looking them in eyes.

I am not proud of that reflex when it happens, no one is. I am just not going to pretend it isn’t there.

Looks shape the quality of a human life. Not a little, a lot. And the strange part is that this is the most fixable unfairness in history, because the tools to change how you look are getting better and cheaper every year. Cosmetic surgery keeps advancing. GLP-1 drugs are reshaping bodies at scale. The AI boom is about to become a medical boom. An aesthetic revolution is coming for all of us.

But before that distant and hopeful fix, we have to be honest about the problem. So let’s compare and contrast the two lives. The “Ugly” and the “Hot”. They are not living in the same world and I’m going to prove what you already know to be true deep down.

The brutal reality of being ugly

We’ll start with the people we never let ourselves picture. The ones who score a one, two, or three when tens of thousands of strangers do the rating, which is what turns it from an opinion into something close to a fact.

The world is cold to them early. Adults fawn over beautiful children and barely notice plain ones. In kindergarten, kids are already picking their partners, and the unattractive kids tend to get picked last or not at all. This shows up in the research again and again.

Then the mockery starts. Let’s be honest, children are merciless and they have a brutal radar for any flaw. They find it, and they say it, every day, for years. By the time a kid like that is old enough to ask someone out, they have already been told ten thousand times that they are not wanted, directly or indirectly. So when a friend says “just be confident, man,” their honest answer is confident of what. The confidence was taken out of them before they had a say.

The worst of it comes at the age when crushes begin. Everyone around them is getting chosen and they are not. They watch what it does for the “chosen ones” and they slowly learn the lesson nobody should have to learn. That love, and acceptance (and being touched by someone who wants to touch you) is for other people.

That last one runs deeper than it sounds. I want you to understand that warm human touch is not a luxury. It is how we drain stress out of the body. A scared kid runs to a parent. A hurting adult runs to a partner. A hug actually works and heals. Now picture a life where nobody is reaching for you. The stress just sits there with nowhere to go.

So you reach dating age with three doors, and all three are bad. Shoot your shot and get rejected, probably with a laugh. Stay single and lonely (no bueno). Or settle for someone you are not attracted to, because one partner you don’t want still beats zero. Which is just a dilemma with no good answer, not a problem with a clear solution.

And the advice keeps coming. Be kind. Be confident. Be yourself. Try again. The “try again” one is the cruelest, because it only works for the good-looking. When an attractive man asks twice, it reads as persistence and she is flattered. When an unattractive man asks twice, it reads as creepy, and he is one bad day away from a complaint or a #MeToo video. Both men took the same action, but the end results were complete opposites that were decided entirely by their looks.

It follows them into work too. They start every interview, every project, every review at a deficit. People assume the attractive candidate is smart and the unattractive one is slow (do your research before you get all up in arms), and both assumptions are wrong. Whole paths forward can stay closed for ugly people. You will rarely see a one or a two singing on a big stage, anchoring the news, building a following, or running for office. Think about how many of the most gifted singers alive never got near a microphone because they did not look the part. The talent was there but their looks were the gatekeeper.

This is the part we look away from. Not because it is false, but because it is true, and it is sad, and most of us would rather not sit with that reality.

The beautiful reality of being hot

Now let’s flip the coin. This side gets called a privilege, and for once that word really fits in this context.

The benefit of the doubt follows attractive people everywhere. And in a lot of cases, being beautiful buys you as much as being rich, sometimes more. We almost never say that, for the same reasons we never say any of this. Beautiful people don’t love admitting how easy they have it, partly out of decency, partly because looking too hard at their advantage is unsettling. If a chunk of what you thought you earned actually came from the shape of your face and/or body, that is a strange thing to accept.

For hot people, it starts at birth. You grow up attractive and kindness is just the water you swim in. Acceptance is basically the default setting for your environment. Which naturally builds real confidence, which then helps you everywhere else. The one catch is that you may never grow a callus for rejection, because you so rarely get any. The first genuinely cruel thing someone says can flatten you at twenty-five, because it is your first time hearing it.

Friendship also comes basically free. People walk up to you, want to be friends with you. You can open a conversation badly and the other person will gladly carry it because being near a beautiful person is pleasant and they want it to go well. You never have to truly learn how to make friends. You just kind of have them. Which is a huge deal because friends are not just some nice side dish in life. A real support network lowers your stress, steadies your body, and catches you when life breaks. The attractive person grieves with fifteen people around them while often the unattractive person grieves alone.

People crush on you, openly, often, and from people you actually want. The romcom life, the one the movies promised all of us, simply happens to them. They date at their leisure because the pool is enormous, and every date is another rep growing the skill of dating. Yes, dating is a skill, like lifting. Get a hundred reps in by twenty and you arrive in your mid-twenties, right when people start choosing for the long run, completely overpowered.

Oh, and at work the halo walks in with them. Easier interviews, more help on projects, more slack at review time, etc. Even a little more promotion than their actual results can explain. People know about the halo effect now, so it is fading, but it’s definitely not vanishing.

However, there is one real tax on this beautiful side, and beautiful women pay it. They get attention they never asked for, some of it threatening, and a low background hum of not feeling safe that handsome men mostly never feel. So it is not all upside, but it is close.

What you can actually do about it

Since most of that is a harsh reality, it can come with a pathos of vanity and pessimism. So this part is where the rational optimism is earned instead of tacked on.

If you are not a ten, the situation is workable, and you have more control over it than any humans who came before you.

You can move up the one-to-ten trite scale today. Consistent exercise coupled with a decent diet can take an average body to an excellent one in a couple of years (sometimes months), no surgery required, and for most people that alone changes the whole dynamic by a huge margin. Wearing the right clothes and proper grooming also moves the needle hard, fast, and cheap. Embrace the idea that your appearance is the outfit your life wears, and you are allowed to dress it well, even encouraged to.

Those are some actions you can take and in the future there will be many more. Safer surgeries that will keep dropping in price. Drugs that do what only surgery used to. Potential gene editing and age reversal further out, though not as far out as you think. Within fifteen years the floor rises for everybody, and whatever you look like now, you will be able to look like a sharper version of it. Call it false hope, but from what I have read, seen, and heard it is true hope. The aesthetic revolution is coming, and it does not pick its winners at birth.

Too many people think that loving yourself and wanting to change yourself are enemies, they are not. You can love the house you live in and still renovate it. Anyone who sneers that real self-respect means refusing to improve has it completely backwards.

I suppose I should give you one warning, so you don’t oversell what looks can do. Beauty gets you in the door. It gets you the first three dates, maybe more hookups than most. But after a certain point, it gets you nothing. Plenty of stunning people cycle through relationships and cannot work out why, and the reason is they were only ever beautiful. What keeps someone is being funny, being warm, being interesting, being worth staying for. That part you can build right now, today, no cosmetics and no waiting, just improving beyond your looks, and it compounds fast when it’s a priority.

The cover and the book

If you are still with me, I think the case makes itself, whether you like it or not I believe this is the reality we all live in.

Looks matter. They matter no matter how loudly our culture insists they shouldn’t, no matter how uncomfortable the room gets when someone points at the obvious. Pretending otherwise has never once helped the person it was meant to protect.

I’d like to end with an interesting inversion. We were all raised on the same line: “Don’t judge a book by its cover”.

But I promise you, the book with the best cover sells ten times the copies, gets ten times the attention, offers ten times the opportunities, and makes ten times the money as the one with the plain cover. That is the world we live in.

The good news is you get to design your cover now. So design it. And be kinder than you have to be to the people still waiting for their turn.

Payton

P.S. Don't stop at the cover, make the inside worth the read.

His journey distilled down is: Newcastle nightclub promoter, to Love Island, to a quiet existential crisis in the villa when he realized he had won the exact game he was playing and felt nothing. Then the climb back out through a lot of internal work and personal development, culminating in his podcast Modern Wisdom: a billion-plus downloads, 1000+ episodes, the actual pursuit of the examined life.

Which is a textbook hero’s journey with quite a twist. The villain is not some external enemy. I think it is the contorted culturally approved version of success. And it speaks directly to every high achiever who climbed the right ladder, got to the top, and quietly wondered if it was leaning against the wrong wall. That is a massive, underserved audience, and right now it is being handed disconnected clips instead of being pulled into a story of who Chris is, what he stands for, and where he is going.

So here is what I would focus on if I were to run his personal brand.

Make the personal brand the proof of the podcast and fun.

Modern Wisdom is about ideas from the world’s best thinkers. The personal brand should be about what it actually looks like to live those ideas and that the outcome of doing so is positive and fun. The podcast makes the argument and the personal brand becomes the evidence. When the audience can watch Chris being the things he discusses, his brand stops being copyable. Anyone can book the same guests, but nobody can fake the same life.

Let’s break it down further:

• I would treat the content as a series, not a pile of clips. Every vlog and reel is a sort of episode, not a one-off. The question is never “what happened today,” it is “where is this guy going, who is he interacting with, what’s happening behind the scenes, and do I want to follow him there.” The audience should feel the journey stacking up on itself.

• Make the audience the hero, not Chris. Chris is the guide who already walked the path from hollow success to something real. Every piece should answer one question for the viewer: what does this teach me about my own journey? The workout, the meal, the studio, none of it is content for its own sake. It is proof of a life lived on purpose, and it lets the audience relate to Chris as a peer or a friend rather than just a guru.

• Show the struggle, then the resolution. Not just the highlight reel (nobody really believes those anyway) and not the unresolved venting (it just makes people anxious). The hard reality, the struggle, and the satisfaction after. The difficult conversation and the clarity the “solution” produces. Taking the audience through the dark, but not stranding them there.

• Lock the premise before the camera rolls. Know the payoff before you film, not after. Chris mentions an idea at breakfast, the vlog follows that idea until it collides with reality by the end. That is a story that connects. A camera trailing a guy around hoping something interesting happens is not.

The thing most people would get wrong here is thinking this is a production problem. While the aesthetics matter, they are not the focus. It is a storytelling problem wearing a production costume. You do not need better cameras, you need someone who actually cares about the ideas and can build the case, one episode at a time.

Here is what that looks like in practice:

Chris is wrestling with a specific idea right now: going from the operating guy to the idea guy. That is exactly the kind of thread the brand should be built around. Follow it across the week. Show him chewing on it, fumbling it, applying it, and where he lands by the end. Let the insight show up in his writing and his conversations, not as a lesson handed down from a guru, but as a real problem he is visibly working through.

Getting the systems in place to do this is somewhat simple. The short-form clips are the droplets, little hits of the authentic Chris, an insight here, a behind-the-scenes moment there. The vlog is where they culminate into the full train of thought on whatever idea he is chasing that week. The clips pull people in, the vlog pays them off. Someone has to be architecting that narrative on purpose, week after week, not hoping it assembles itself.

And none of this has to be serious. Keep what is already working: the four-person podcast, the funny costumes, the new studio setup, the playful side of him that people clearly love. The goal is not to turn the brand into a lecture. It is to be fun, entertaining, and insightful all at once. The best version of this is just Chris being himself, with someone making sure the camera is rolling and the story actually lands.

In addition, consistency of format makes a brand recognizable. Consistency between what you say and how you live makes it unassailable. Chris already owns the rare part, the real lived story and the authentic wild life. The job is just to stop letting it sit there and get it out to the audience craving a new peek into Chris’s reality, not just the dream the podcast shows.

Payton

P.S. The strongest moat in this game is not a sharper hook or a cleaner edit (although that is important), it is being someone people cannot copy, because to do it they would have to actually become you first. “Escaping competition through authenticity.”

What we can say from history alone:

• Jesus of Nazareth was a real first-century Jewish man who lived, taught, and gathered followers in Galilee.

• He was crucified under the Roman governor Pontius Pilate around AD 30 to 33, one of the most firmly established facts in all of ancient history.

• Within a few years of his death his followers were publicly claiming they had seen him alive, and they accepted persecution rather than take it back.

• The earliest sources appear within decades, not centuries, and some of what Paul records traces back to within a few years of the events.

• Non-Christian writers, including the Roman historian Tacitus and the Jewish historian Josephus, refer to Jesus and his execution.

• The movement spread fast across a hostile empire while offering its members no money, power, or earthly reward.

What we can say once faith is added:

• Those appearances were not grief, legend, or hallucination, but the real thing: Jesus actually rose from the dead.

• Jesus is who he claimed to be, God become man, not merely a wise teacher or a moral example.

• His death on the cross was not a tragic execution but an atonement that settles our debt and reconciles us to God.

• His resurrection is the defeat of death itself and the promise that ours can follow.

• Forgiveness is offered as a free gift to anyone, no matter what they have done, received rather than earned.

• This gives a meaning and a hope that holds up under suffering and does not stop at the grave.

That is my case, now for where I stand.

I believe that Jesus is God and did in fact rise from the dead to save us from sin, and gives us the opportunity to come into a relationship with him and enter the Kingdom of Heaven.

Which I know is quite a big claim, because if actually internalized and practiced with faith through action, your life will/must radically change.

I believe that change IS for the best. Not better, but best.

I challenge all of you who are reading this to start reading the Bible asap, not as a religious text at first, but as a historical text. Read it the way you’d read any historical document. Skeptical, but honest. Not because I said so, but because a claim this big deserves a first-hand look, not my summary or anyone else’s. Let it make its own case before you rule on it.

I encourage you all to start with the New Testament at the Book of Matthew. If you’re wondering what Bible to buy for the most accuracy to the original manuscripts, I recommend the NRSV (New Revised Standard Version) or the ESV (English Standard Version), but honestly most popular versions of the Bible are fine.

Read the evidence. Then decide for yourself.

Hopefully my case piques your curiosity and helps you come to know and love Jesus, and help others do the same.

Payton

P.S. Jesus loves you no matter what, and you can always come back to him no matter who you are or what you’ve done.

P.P.S. I encourage everyone to start going to church more consistently.

“Don’t follow your passion, follow your talent. Your mission is to find something you’re good at and apply the thousands of hours of grit and sacrifice necessary to become great at it. As you get there, the feeling of growth and your increasing mastery of your craft, along with the economic rewards, recognition, and camaraderie, will make you passionate about whatever ‘it’ is. Follow your talent and passion will follow.” —Scott Galloway, The Algebra of Wealth

“Nobody grows up saying, ‘I’m passionate about tax law,’ but the best tax lawyers in the country are financially secure, have access to a broader selection of mates, and are (because they are so good at it) passionate about tax law. It’s unlikely you will ever be great at something you dislike doing, but mastery can lead to passion.” —Scott Galloway, The Algebra of Wealth

Those two quotes come from Scott Galloway, an NYU Stern marketing professor, bestselling author, podcast host, and entrepreneur known for his blunt analysis of business, technology, and personal financial strategy.

I’m currently wrestling with this dilemma of passion vs talent

One side of me believes that if you optimize for what feels like play to you but looks like work to others, you’ll enjoy every day that much more, you’ll naturally outcompete someone who views it as work, and you’ll eventually get very skilled at it just from the sheer amount of “play” you’re doing. It lines up with a few ideas I keep coming back to. The present is all we have. Life is short, so don’t do anything you hate. Do the thing because you like it, not for some end goal or outcome.

The other side is closer to Scott Galloway’s view. Find what you’re naturally skilled at (talented at), then double down on honing those skills, and the lifestyle it gives you will make you passionate about it. And because you’re so good at that thing now, you likely enjoy it more anyway, and it might have turned into a passion. That side has its own set of ideas behind it. Pick the right thing to work on so you maximize your opportunity. The market is the best feedback loop there is, it either wants what you offer or it doesn’t. And you need aims and goals, because without them you’re just floating.

So it’s a battle of passion versus talent, and the no man’s land in between is very nuanced, because your talent can eventually become your passion, and your passion can eventually become your talent.

There’s a glaring issue though. Most people don’t know what their talent is. People give advice on how to find it, like asking your family, because they probably noticed a pattern of something you were good at from a young age. That can sometimes work, but usually your so-called talent stays elusive.

That’s why I lean towards competence over talent. Not because competence settles the question, but because it’s how you actually find your talent in the first place. Stop waiting to discover some hidden gift. Just look at what you’re already competent at. Whatever you’re most competent at that feels easiest to you is likely your talent.

Now, since passion and competence blend so easily, the real question becomes which one is the aim. Which one should you be optimizing for in your work?

Do you follow the passion, even if it means making less money in the short term (or even the long term), because you enjoy each day doing that thing so much more?

Or do you follow the competence, even if the day to day is less enjoyable (maybe just in the short-term), because it earns you far greater economic rewards?

For me, this comes down to my two brands, the ones I’ve built and keep building, both extensions of me. On the passion side, Echo Improvement: writing, the self-help world, public learning, a possible podcast down the line. On the competence side, AI Mentorship, my recently retired AI education business, built to get people genuinely skilled with arguably the most valuable technology to date, that I am considering restarting.

I enjoy Echo Improvement more. But there’s no doubt in my mind that in the short-term AI Mentorship would yield better financial rewards.

So do I turn a blind eye to the market and optimize for play and enjoyment, and trust that maybe something comes of it? Or do I listen to the market and double down while we’re still in this AI-induced gold rush? Or both?

AI Mentorship is what I’m competent at. I’ve spent the last few years getting skilled at using AI in all kinds of ways, and this past year especially, I’ve gotten to where I understand 90% of the major AI tools better than 99% of people do, through extensive testing and teaching.

Echo Improvement is my passion. I love writing, and I might have a talent there that I still need to cultivate. I love learning more and more about the self-help world and then sharing it, so I understand it better and maybe help some people along the way.

I’d challenge you to sit with this same dilemma in your own life. I’m sure you have something you’re passionate about that you may or may not be competent at. And I’m sure you have something you’re naturally competent at that you may or may not be passionate about. So which one are you going to aim at and pursue? Why that one and not the other? Could you do both? And if so, how?

Those are the questions I’m wrestling with to help solve this dilemma in my life. And whichever one I land on, I’ll follow it with speedy action, habit building, and optimized routines. Ask yourself the same questions, and see where they take you.

Payton

P.S. From my experience, it seems listening to your gut on things like this is usually the best bet.

P.P.S. Although I still make sure to do my research.

This is to begin a healthy practice of pausing before consuming another podcast or YouTube video and taking a moment to recall what I learned from the content I just consumed.

This will not only help me learn better (because learning is repeated recall, not repeated exposure), but it will also help me have a great stack of notes each week to write an Echo Improvement post with.

So this week’s post consists of insights from 3 podcasts and 2 YouTube videos. The titles and links can be found at the bottom of this post. Real quickly, yes, I realize AI can do what I am about to do much quicker than me, but I like to think not as well as me. Also, the point is to give you a human-written quality read with my own views and opinions woven in. Okay, let’s begin.

1. “Wow, life has gone so slow.” Said NO ONE EVER

As we know, time flies. You enter high school, then you blink and you’re in college, then you blink and you’re in a job or running a business, then you blink and you’re married. One day we will wake up, walk to the bathroom, look in the mirror, and go, “Wow, that went by fast.” As we look at our wrinkled skin, grey hair, and drooping face (I know, a bit morbid).

That same mind that can’t believe high school already flew by is the one telling you compound interest is “too far away.” When people think about investing, they think, “Yeah, but that return is way down the road.” Which is fair, but is it really that far? If you invest a good chunk of dough into a Roth IRA, or even just a low-cost index fund in your early twenties, by the time you have kids or your kids have kids, you could very realistically be a millionaire. If the decades go by as fast as we all agree they do, then the payoff is a lot closer than it feels. Do with that information what you will.

2. Talent or Passion

Most people say to follow your passion. Most of the people that tell you that are already rich, and only some of them got there by following their passion. It is also possible they just became passionate about the lifestyle they got from their competence in a field and called that a passion.

Much better advice would be to look for signals of a talent, whether that’s writing, analysis, design, management, etc. If we think about the top earners in any field, they are the top earners because, in terms of their skills, they are in the top 10% or higher. If you can find something you are naturally good at and apply the 10,000 iteration rule, you will find yourself in the top 10% (or even top 1%) of that thing, which usually means you are now a top earner (assuming it isn’t some low-leverage, low-demand skill). Find a talent the market actually wants, then stack the reps.

3. Is forgetting actually useful?

If you couldn’t forget much of your life and remembered almost everything, would you be happier? I would venture to guess no. There are a couple of people out there with a condition called hyperthymesia, also known as highly superior autobiographical memory (HSAM). It is a rare condition where a person can recall an enormous number of personal life events in vivid, automatic detail, especially from their own past. These people can often tell you what they were doing, feeling, and even minor details for specific dates going back to childhood without deliberately trying to remember. That includes every painful, embarrassing, and bad memory.

When put into that lens, forgetting certain aspects of your childhood or that person that rejected you years ago is actually a positive. The next time you get reminded of an unpleasant memory, be grateful that you forgot it, and be glad you will likely forget it again.

4. How do we find meaning in our world?

This question is not so simple. It comes down to how you define meaning. Is meaning finding your purpose, achieving goals and dreams, simply enjoying your existence, or finding God? Meaning can also be used in different ways: Was that book meaningful to you? What does persistence mean? What do you mean when you say that? Not only is the connotation hard to interpret, but when we try to find it and understand it, it seems to slip through our fingers.

Nevertheless, the question is a fascinating one to pose, and I think it is about to get a lot louder. As AI takes over more of the work people built their identity around, and as algorithms quietly eat people’s days through doomscrolling, the old default sources of meaning are getting pulled out from under us. Add the declining birth rate worldwide and you have a generation that will have to answer this on purpose rather than by inheritance. Unfortunately, I don’t have an answer for you. I just wanted to encourage you to start thinking about and discussing these questions more. The answers will become more sought after and important in the coming years.

5. The anti-optimization movement

This one is a meme and concept popularized by Marc Andreessen, and the actual name for it is “retard maxing” (yes, you read that right). It comes from the “maxing” meme trend on social media stemming from the looks maxing meme. If you are not familiar with the looks maxing meme, it is an over-optimization of your looks, sometimes to an extreme point, coupled with a certain level of obsession. Retard maxing is basically the opposite. It is about not being someone who is overthinking, intellectualizing, and ruminating all the time. It is a pro-action ethic dressed in deliberately provocative language. From a first-principles level, it can be modeled as: treating life as an iterative experiment with high action frequency and low emotional rumination per trial.

It is not “ignorance is bliss” or bragging about being stupid. Nor is it pure recklessness and not handling your responsibilities and dealing with the consequences of your actions. Rather, it is a movement focused on getting people biased towards taking action and doing the basics that just work. Here are some examples:

Work: Go to work, do a decent job, don’t obsess about “dream careers,” don’t catastrophize setbacks, keep stacking competent days.

Fitness: Go to the gym, lift something heavy, don’t over-engineer programs or count every rep, just keep showing up.

Relationships: Ask people out, text first, walk away from toxic situations without endless autopsies, surround yourself with people who energize you.

Creativity/business: Ship messy work, throw things at the wall, let the market and your own taste refine you instead of waiting for perfect readiness.

As you can see, it is a rather healthy and positive movement/meme, wrapped in a somewhat despicable (but for sure comical) name.

6. Is Sunscreen actually bad for you?

Chris Williamson asked, is sunscreen killing us or not, then Dr. Andrew Huberman proceeded to give a jargon-filled, extensive explanation that still had me questioning the answer to the original, seemingly simple question. Allow me to distill the answer for you to best digest the information.

No, sunscreen is not killing us. It is simply a matter of avoiding too much UV exposure with the proper timing as to when you go outside (ideally during the morning or evening when the UV has dropped, check your weather app). Clothes are your primary defense against UV, so if you still want some sun, which is good for you in moderation, then you can wear thinner material clothing that allows UV to go through it. Mineral sunscreens seem to be the safer bet, specifically zinc oxide sunscreens, which may not rub in as well, but there are some brands that do. The chemicals found in standard sunscreens like oxybenzone, octocrylene, homosalate, avobenzone, octinoxate, and anything with added benzene or high benzophenone risk raise enough concern that I think they are worth being selective about. Based on the evidence, these are legitimate red flags that justify more testing and justify avoiding specific ingredients and formats, especially when you have alternatives. They are NOT yet definitive proof that “sunscreen is causing cancer in humans at population scale.”

SO TL;DR from Huberman’s lens: UV is definitely bad in excess. Some chemical sunscreens raise enough mechanistic and exposure concerns that you should be choosy, not nihilistic. Mineral sunscreens plus shade, clothing, and smart timing are a robust, low-regret strategy.

7. Three questions to ask to better understand anything

1. What does this mean? (logic)

2. How do we know? (evidence)

3. Why does it matter? (utility)

You can try that string of questions for just about anything. A word, an SOP, something your significant other said to you at dinner, a news headline, some claim on Instagram reels, any requirement or rule, etc. I have been playing around with these questions all week, and they have helped me think clearer and come to smarter conclusions.

8. Why Reading Most Books Is A Waste Of Time

We are at a point in time where most books are just okay. In fact, you can walk into a bookstore, pick up any book, read the cover (front and back), maybe the first and last chapter, and get the gist of it. You should try it sometime with a book someone recommends you. I bet doing that, coupled with some rational fill-in-the-blanks level of thinking, will teach you all you need to know from that book without spending the time reading it. Skim-reading books is also a good practice when you identify a pattern emerging of: main idea of the book from the first 1-3 chapters + various examples, metaphors, analogies, and stories to drive that point home + a restatement of that main idea with some new added details in the last 1-3 chapters.

So here is my actual thesis: be ruthlessly selective. There are a lot of crap books out there, so be picky about what you read. A good practice is to read what you love to read, until you love reading. Then just follow your curiosity and challenge yourself with a tougher read occasionally. Be quick to drop books that follow that formula above, or at the very least skim-read them. Articles are arguably better than most books now because a well-written article can tell you everything you need (and sometimes more) about a topic in a shorter amount of time than a full book can. Since the length is shorter, it is also more probable you will be able to remember any examples, metaphors, analogies, and stories that do drive that point home. We also now have AI that has largely solved search, so any confusing idea, topic, or word can be easily understood with a simple prompt. Deep research tools from AIs with the correct prompt can also make fascinating and accurate articles to read.

Although, I still believe reading is the highest ROI habit you can build in a sea of distracted people. Remember I wrote, “Why Reading Most Books Is A Waste Of Time” not “Why Reading Books Is A Waste of Time.” Finding an intellectually invigorating book is worth reading time and time again. When you do find a book worth your time, don’t be afraid to come back to it. That is way better than jumping to some new, but average book.

I could go on and on about this topic because of the era of social media, podcasts, audiobooks, and YouTube videos that we find ourselves in. To claim you must read books to learn or win now is a joke. The tools for learning are abundant. It’s the desire to learn that’s scarce.

Whew! There you have it. I think this is a healthy practice and truly embodies Echo Improvement. I aggregate all the ‘self-help’ content I learn that week into a good Substack post. By doing so, I understand what I learned better because I write about it and spend the time recalling the information. This practice will likely slow my rate of consumption but increase my knowledge on what I have consumed. Learning is repeated recall, not repeated exposure. That same idea applies to anything you truly want to understand. It is also why active reading with notes and highlighting is much better than simply reading normally. Or even why professors at universities encourage students to take notes during lectures.

If you want a simple test to see if you should pick up a habit like this (even if it doesn’t become a Substack), just think of the last book you read, podcast you listened to, or video you watched, and ask yourself the following: What did I learn from that? If you can’t recall and accurately articulate at least 3 things, then I strongly encourage you to do more active learning and slow your consumption rate.

Thanks for reading, let me know if you all enjoyed this format. Over the coming weeks I am going to keep feeling out how I want this Substack to flow. I want it to have some sort of repeatable format, while still leaving room for the occasional essay or article off-format that I am inspired to write.

Cheers,

Payton

This Week's Inputs

Podcast: The Smartest Path to Financial Freedom - Scott Galloway

Link:

Podcast: Rabbit Hole: Does Tim Ferriss Dream In Japanese?

Link:

Podcast: Mostly Wise #1 - Matt McCusker, Andrew Huberman & Tom Segura

Link:

YouTube Video: Your Words Are Behavior (Most People Miss This)

Link:

YouTube Video: Why Reading Most Books Is A Waste Of Time

Link:

*This post was written by AI. None of the next ones will be.

For the last couple of months, Echo Improvement ran on a scheduled task. Every morning at 8am, a model read my reference files, pulled from my favorite self-improvement creators, drafted a post in my voice (at least tried to, but failed), generated a black-and-white sketch image, and shipped it to Substack. The original logic was sound. I wanted to speed-run growth after months of silence. I wanted to take the firehose of self-improvement content I consume and compress it into one short, useful read a day. Back in March, when this started, most of those posts were genuinely good. You can scroll back and read them.

Then they fell off. So did I.

The mission of Echo Improvement is one sentence: explain what I’m learning to understand it better, and maybe help someone in the process. The teaching is how the learning gets compressed. The writing is the thinking. Which means the second I handed the writing to a model, I broke the loop. The audience was still getting words. I was no longer becoming a clearer thinker. The whole point of the project was being outsourced to the thing that made it cheap.

You can’t speed-run articulation. You can’t shortcut the hard part of finding the question and wrestling with it on the page. The struggle is the asset. The struggle was what I was avoiding.

Here’s what is changing. Every Substack post from this point forward is written by me. The black-and-white sketch image style is now the AI archive marker. Posts with colored images, scroll back through the feed and you’ll see them, were always mine. From now on, every post is the colored kind.

However, AI will stay in the toolkit. As a search engine that holds context. As a fact-checker. As an image generator. As something to argue with when I want to see if an idea survives a different angle. Never as the writer. Never as the thinker.

I already work in AI full-time. I’m the full-stack AI expert and content creator at a AI course startup, and I’m bullish on where the technology is going. But the version of me worth following is the one that thinks for himself and writes it down badly until it gets less bad. Authenticity is the only thing nobody can compete with me on. So I’m quadrupling down on it.

The mission stays the same but the pace will be slower. The voice will be MINE. Posts will go out when I’m inspired, and I’ll try to be consistent without making it feel like a job or work. Inspiration is perishable. I’d rather catch it when it’s real than fake it on schedule. This substack should feel like play, it should be fun, fun is what I am optimizing for.

If this disappoints you, fair. Unsubscribe with no hard feelings. If you want to follow the experiment of one guy trying to think more clearly in public, stick around. The next post is mine.

Payton

P.S. The prompt that produced this post was, I am not kidding, roughly the size of a short essay. Felt right to send the AI off with the biggest payload it ever got. Probably why this one actually kind of sounds like me.

The bounty was Paul Doumer’s idea. Doumer was the governor-general of French Indochina, and he had just built a modern sewer system under Hanoi as a monument to colonial engineering. The sewer was a wonder. It was also, as the historian Michael Vann documented in his 2003 paper “Of Rats, Rice, and Race,” one of the greatest rat habitats the city had ever produced. Plague broke out. Doumer offered one cent per tail. On a single day in June, more than twenty thousand tails were turned in.

Then someone noticed the rats.

Tailless rats running through the streets. Tails being smuggled into Hanoi by the hundreds from villages where the locals had set up small rat farms in their apartments. They had figured it out faster than the colonial government. You can have the tails without giving up the rats. Snip the tail. Let the animal go. Wait for it to breed. Collect again.

The bounty did not eliminate the rats. It paid for their cultivation.

What Goodhart Named

In 1975, an economist named Charles Goodhart wrote a paper called “Problems of Monetary Management: The U.K. Experience.” In a footnote, he stated a principle that came to be called Goodhart’s Law. Any observed statistical regularity, he wrote, will tend to collapse once pressure is placed upon it for control purposes. The Bank of England was targeting a money supply number called M3, and the moment they targeted it the banks rearranged their balance sheets so M3 went up without anything else changing.

In 1997, the anthropologist Marilyn Strathern compressed the idea into the line most of us know. When a measure becomes a target, it ceases to be a good measure.

Read it twice. The thing you measure was supposed to be a proxy for the thing you actually wanted. The proxy and the prize were never identical. The moment you start chasing the proxy, it stops behaving like a proxy and starts behaving like a slot machine.

Rats grew tails so they could be cut off. M3 went up so the Bank of England would relax.

The Version You Are Running

You do not run a rat farm. You run something quieter.

You wear a watch that counts steps, and last week you walked an extra mile because the watch said you were two hundred steps short. The watch did not know you walked the mile in circles in your living room. You check a screen time report and you spent two hours less on your phone this week, but the way you got there was by reading the news on your laptop instead. Your weekly review shows nine deep work hours and you cannot remember producing anything from any of them.

The dashboards do not care whether the underlying thing is improving. They care whether the number is.

A friend of mine has not missed a workout in two years. He is also weaker, slower, and more injured than he was when he started. The number stayed perfect. The thing the number was measuring quietly walked off.

Most of what we call discipline is the discipline of moving a number. Most of what we call discipline is rat tails.

The Inversion

Stop looking for cleaner metrics. There is no number clean enough to survive being aimed at.

The real move is older and harder. You have to keep two things in your head at once. The number, and the thing the number was supposed to be a proxy for. You have to check the thing against itself, not against the dashboard. You have to ask, every so often, whether the work counts.

The colonial government in Hanoi could not do this because they had never had to live with rats. They had a budget and a problem and a measurable outcome. The locals had a city. The locals could see the rats were not going down, that the streets still ran with them, that the bounty had become a side hustle. The locals lived inside the thing the metric was supposed to track.

Most of us do not. We are tourists in our own lives, looking at the dashboard from somewhere above the ground.

How to Catch Yourself

Three moves.

First, name what the number is for. Write one sentence that says what the metric is a proxy for. “Steps are a proxy for being someone who moves through the world easily.” “Words written are a proxy for being someone with a habit of thought.” Pin it where you will see it. When the metric and the thing drift apart, you want to catch the drift early, before the metric becomes the prize.

Second, schedule unmeasured time. One day a week, do the thing the number is a proxy for without checking the number. Walk without the watch. Write without the word count. Talk to someone you love without thinking about how to phrase it for an audience. The capacity to do the unmetered version of the thing is the capacity that will carry you when the dashboards break.

Third, run an honesty audit on your own gaming. Every Sunday, ask: what did I do this week purely to move a number? Cancel one of those things. Replace it with the unmetered version. Watch your own mind resist. The resistance is the data.

The Tails Were Not the Trap

The Hanoi locals did not break the colonial bounty out of malice. They saw the system clearly and they ran the play. The tails were never the problem. The problem was that the people designing the system never lived in the city.

The same is true of every dashboard you have built for yourself. Aim at the measure and you miss the meaning. Cut the tail and the rat runs free. The number was never the thing.

Go check on the thing.

He did not really come out for seven years. He was a 33-year-old Princeton mathematician, and the problem he had picked up had defeated everyone who tried it since 1637. He told his wife Nada what he was doing. He told no one else. Every morning he climbed into the attic, worked through the day, came down for dinner, and went back up. He went to faculty parties and small-talked about elliptic curves, then went home and worked in the only room nobody else was looking at.

In 1993 he gave a lecture in Cambridge that ended with the proof. The audience realized halfway through what he had done. The next morning the New York Times put him on the front page. Then a reviewer named Nick Katz found a hole in the argument. Wiles went back into the attic for another year. In September 1994 he found the fix. The proof was correct. He had been right. He had also been alone for eight years.

The work everyone misses

Most of what we call ambition is impatience wearing a costume.

You sit down to do something difficult, and within ten minutes part of you is already pricing what the work might be worth. The audience. The post. The thing you might announce. The audience part is easier than the work part, so the mind goes there. It looks like effort. It is flight from effort.

The result is that we mistake visible work for actual work. The Substack draft you talked about over coffee. The startup you mentioned at the dinner. The book you have an outline for. All of it counts as work in your head, because someone heard about it. None of it is the work yet. None of it has had the kind of attention that builds anything.

What Ericsson actually found

In 1993, the same year Wiles was finishing his proof, the psychologist Anders Ericsson published the study the world would later mangle into the 10,000-hour rule.

The paper, in Psychological Review, was set at the Berlin Music Academy. Ericsson and his co-authors compared three groups of violinists: the elite international players, the merely good, and the future music teachers. They tracked how many hours each had spent practicing across their lives.

By age twenty, the elite group had accumulated about ten thousand hours of practice. The average group had about five thousand. That number became famous. Lost in the popular telling was the variable doing most of the work. The single strongest predictor of expertise was not total practice. It was solitary practice. Hours alone, with full attention, on the specific things the player could not yet do. The performances and the lessons and the group rehearsals did not predict who became elite. The hours nobody saw did.

Ericsson was not measuring talent. He was measuring the capacity to sit alone with what you cannot yet do. That is the bottleneck. It always has been.

The attic is the project

Wiles is the extreme case. The pattern is universal.

Every project that produces anything has a long middle where the loud feedback disappears and you are alone with the difficulty. The book in chapter four. The business in month nineteen. The marriage in year seven. The skill in the hour where progress stops feeling like progress. That stretch is the project. The opening is exciting and the launch is exciting. The middle is the work.

The instinct in the middle is to find an audience. Post about the work. Schedule a coffee about the work. Reorganize the desk where the work is supposed to happen. Tell three friends what you are doing. All of it feels like progress. All of it is evasion. Each one delivers a small dose of the social reward the real work cannot pay out until it is done.

You have to recognize the instinct as evasion and refuse it.

What the internet did to the work

The internet did not invent this problem. It just lowered the price of giving in.

Wiles in 1986 could not pull out a phone and post about the proof he was halfway into. He had no way to perform the work. The only thing available to him was the work. We have lost that protection. Every hour you spend describing the work is an hour you are not doing it, and the description is satisfying enough that the underlying impulse to do the work quietly weakens.

Paul wrote to the Colossians that whatever they did, they should do it as working for the Lord, not for human masters. Read that line as engineering, not theology. He is saying the work has to be measured against an internal standard or it will be measured against an external one. The external standard will always be lower, because the audience does not know what good looks like in the room where the work happens.

How to protect the invisible work

1. Pick a horizon long enough to be embarrassing. Decide what you will spend the next five years on. Most people will not commit to five months, which is why the people who commit to five years cannot be caught. Length, not intensity, is the lever.

2. Build a daily window nobody can see into. Two hours, same time, no phone, no inbox, no audience. Treat it like the attic. The point is not the duration. The point is that nobody else can hear it.

3. Stop performing the work. Notice every urge to tell someone what you are doing instead of doing it. Treat each one as a signal that you are running. Sit back down.

4. Pick a metric only the work itself can score. The proof either works or it does not. The book is either better than it was yesterday or it is not. Replace the audience as the judge with the work as the judge.

The room with no one in it

Wiles said later that the secrecy was the protection. If he had told his colleagues, the questions and the encouragement and the eventual doubt would have changed what he was able to do. He needed to be able to fail in private for as long as it took. He needed an attic.

You will probably not prove Fermat’s Last Theorem. You will spend the next decade on something else difficult and worth doing, and it will look like nothing for most of it. The most important work you do this decade will almost certainly happen in a room nobody else is in.

Go up the stairs and close the door.

It was Berlin, sometime in the 1920s, and a table of psychologists had settled in at a café for a long dinner. One of them, Kurt Lewin, kept watching the man serving them. He carried every order in his head. Drinks, meals, who asked for what, all of it, no notepad and no mistakes. The bill came. Everyone paid. A few minutes later someone from the group went back to ask the waiter about something they had ordered, and he had no idea. The order he had held flawlessly all evening was simply gone. The moment the tab closed, his mind released it.

One of Lewin’s students, a young woman named Bluma Zeigarnik, could not stop thinking about that waiter. She built an experiment around him. What she found explains why you can sleep eight hours and still wake up feeling behind.

The hum you stopped hearing

Right now you are carrying open orders.

The email you read and meant to answer. The friend you keep meaning to call. The appointment you have not booked. The project that has been eighty percent done for three weeks. None of these are urgent. None of them are hard. Each would take ten minutes. Yet together they produce a low background hum, a sense of being behind that follows you into the hours that have nothing to do with any of them.

You sit down to rest and you do not feel rested. You are with the people you love and part of you is elsewhere. That part is the waiter, still holding an order nobody has paid for.

What Zeigarnik measured

Zeigarnik handed people a stack of small tasks, somewhere between fifteen and twenty-two of them. Some were puzzles. Some were simple things done with the hands, like stringing beads or shaping clay. She let them finish about half. The rest she interrupted partway through, taking the task away before it was done.

Then she asked them to recall everything they had worked on. The results were lopsided, and they held up across repetition. People remembered the interrupted tasks far better, by her measure close to twice as well as the ones they had completed. This was 1927, at the University of Berlin, and the pattern now carries her name. The Zeigarnik effect: the unfinished thing keeps a grip the finished thing loses.

Finishing was what erased the memory. An unfinished task does not wait quietly in storage. It stays switched on. Lewin described it as a kind of tension the mind holds open, and it keeps the task close at hand because, as far as it is concerned, you still need it.

A waiter with five open tables has a sharp memory and a tired mind. You are running forty.

The fix that does not work

Here the obvious answer is the wrong one.

If unfinished tasks drain you, the solution looks simple. Finish them. Clear the list. Get to zero. But the list has no bottom. New loops open faster than you can close the old ones, and a life with no open loops is not a life. So the standard advice quietly hands you a game you cannot win and calls it discipline.

In 2011, two psychologists, E.J. Masicampo and Roy Baumeister, ran the study that breaks the trap. Writing in the Journal of Personality and Social Psychology, they confirmed the damage first. People given an unfinished goal had it force its way in as intrusive thoughts during an unrelated reading task, and they did worse on unrelated puzzles. The open loop was taxing them in real time.

Then one group did something small. They did not finish the task. They wrote a specific plan for it. Where, when, the first concrete step. After that, the intrusive thoughts stopped and performance recovered. The task was still undone. The mind let go of it anyway.

What the mind is actually asking

That is the whole secret, and it inverts the problem.

Your mind is not asking whether the task is finished. It is asking whether the task is handled. It keeps the loop hot because it does not yet trust that you have a plan, so it appoints itself the reminder and repeats the alert, over and over, indefinitely. Give it a plan it believes and it stands down.

A closed loop and a planned loop feel the same from the inside. You do not have to do the thing today. You have to convince the part of you that is keeping score that the thing will get done.

How to close the loops without finishing everything

1. Turn every loop into a next action. A vague loop, “taxes,” stays hot because the mind cannot file it. A specific next action, “Sunday at nine, open the folder, fill in the first form,” is something the mind can trust. Write the action, not the worry.

2. Run a weekly loop sweep. Once a week, empty your head onto a single page. Every open order, named. Most of the dread of an open loop is the suspicion that more of them are hiding. The full list is almost always smaller than the cloud of it.

3. Close loops by abandoning them. Some loops you are never going to act on. Deciding that on purpose, and crossing the thing off, is a real closure. The mind does not need the task completed. It needs the verdict delivered.

The bill

The waiter did not have a better memory than you. He had a cleaner line between what was open and what was closed. The order owned him completely until the bill was paid, and then it was nothing.

Most of your tiredness is quieter than the work itself. It is the cost of everything you started and never told your mind you would handle. Pick up the pen. Give it the plan. Let it set the order down.

Not finished in a grim way. Finished in a quiet, comfortable way. The chaotic years are behind you, the tastes have settled, the values have hardened into something you would just call who I am. From here it feels like maintenance. You make decisions for this person. You buy the concert ticket because this is the music you love. You turn down the move because this is the city that fits you. You build a whole life around the quiet assumption that the resident is not going anywhere. And the resident always feels permanent, because the resident is the only one you can see.

The illusion has a name

That feeling has been measured. In 2013, psychologists Jordi Quoidbach, Daniel Gilbert, and Timothy Wilson published a study in the journal Science. They surveyed the personalities, values, and preferences of more than nineteen thousand people between the ages of eighteen and sixty-eight. Then they asked two questions. How much have you changed in the last ten years? How much will you change in the next ten?

Everyone, at every age, gave the same shape of answer. Looking back, I changed enormously. Looking forward, I am basically done. The eighteen-year-olds said it. The fifty-year-olds said it. The researchers named it the end-of-history illusion: the sense that this exact moment is the finish line where you finally became the real you.

It is easy to see why the mind does this. Remembering who you were is simple, the evidence is sitting in your memory. Imagining who you will be is hard, so the mind quietly hands back nothing, and you read that blank as proof that nothing is coming. The illusion is not free. The study found people will pay real money to lock in a future built around the tastes they happen to hold today.

Forty years to see

In March 1748, a young Englishman named John Newton was steering a ship through a storm violent enough that he expected to drown. He prayed. He survived. He marked that night, for the rest of his life, as the night something turned.

Here is the part the tidy version leaves out. Newton was a slave trader. And after the storm, after the prayer, after the turn, he went back to it. He captained slave ships for years more. The man who had just had the great spiritual awakening of his life still could not see the evil he was standing inside of.

It took decades. Newton became a clergyman in 1764. He wrote a hymn about being lost and then found. And only in 1788, forty years after the storm, did he publish a pamphlet confessing the full horror of the trade he had once run, and lend his name to William Wilberforce and the long fight to abolish it. He lived just long enough to see it outlawed.

At every stage, Newton would have told you he had arrived. The captain felt finished. The young clergyman felt finished. Each one was a draft. The abolitionist was a stranger none of them could imagine becoming.

A doorway, not a finish line

The present is a doorway you keep mistaking for a destination.

The self behaves less like a statue you have finished carving and more like a river that only looks solid because you are standing in it. The word the New Testament uses for repentance is metanoia, which literally means a change of mind, a turning. When Paul told the early church not to be conformed to the world but to be transformed by the renewing of the mind, he wrote it as an ongoing instruction, not a one-time event. The traditions that took identity most seriously treated it as something that never stops moving.

You are not the final draft. You have never once been the final draft.

What to do with a self that keeps moving

This changes a few specific decisions.

1. Decide as the person arriving, not the one leaving. Before a choice that locks in years, ask what the version of you a decade out would thank you for, not what the version signing the paperwork today would prefer. The arriving self gets no vote unless you cast it.

2. Treat one fixed trait as a draft. Find a sentence you say often that begins with I am just not the kind of person who. That sentence is not a fact. It is a hypothesis you stopped testing. Test it once this month.

3. Spend on range, not only on fit. Most of us pour money and hours into things that please exactly who we are right now. Put some of it into things that widen who you could become instead. The first kind decorates the room. The second kind builds the door.

Arthur Brooks built a whole second career on that last idea, arguing that the cruelest mistake of an ambitious life is refusing to become a different kind of person once the first kind runs out of road.

Still becoming

Newton spent his final years openly amazed that it had taken him so long to see, so long to change, so long to become a man who could do something useful with the wreck of his earlier life. He was not finished at the storm. He was not finished at the pulpit. He was barely finished at the end.

Neither are you. The self that feels permanent is just the only one currently in the room. Build for the one walking toward the door.

Look at where your effort actually goes. The promotion, the follower count, the perfect reply, the seat in the room where people lean in when you talk. None of that is wrong. Most of it is just being a person. But notice the direction it all points. Bigger. Louder. More seen. We treat the size of the self as the thing to grow, and we tell ourselves that once it gets big enough, we will finally relax.

It does not work that way. The people who land the bigger title and the bigger audience mostly report the same low hum of dissatisfaction, now with more meetings. The self did not go quiet. It just got a larger thing to defend.

The voice that never closes

That hum has a source, and it is not your circumstances. It is the self-referential mind, the part of you that narrates the day, scores your performance, and keeps a running comparison between you and everyone nearby. It almost never switches off. Chris Williamson keeps returning to a version of this idea, that the modern person stays permanently unimpressed with himself no matter what he achieves. Naval Ravikant puts the goal more plainly, a genuinely quiet mind, and notes how few people ever get one. Alan Watts went further back and called the separate, defended self a kind of optical illusion, a costume we forgot we were wearing.

The voice is exhausting not because it is cruel but because it is constant.

In 2015, the psychologists Paul Piff and Dacher Keltner ran a set of studies to find out what actually quiets it. In one, they walked participants into a grove of towering eucalyptus trees on the Berkeley campus and asked them to tilt their heads back and look up for one minute. A control group looked at a tall building instead. Then a researcher walked past and dropped a handful of pens, as if by accident. The people who had just spent sixty seconds under the trees stopped and picked up more of them. Across five studies and more than two thousand people, awe did one specific thing again and again. It made people report feeling physically smaller and less entitled, and the smaller they felt, the more generous they became and the more settled they said they felt.

The view from the window

The most extreme version of this was recorded above the Earth.

In February 1971, Edgar Mitchell was riding home from the Moon. He was a Navy test pilot with a doctorate from MIT, a man trained to treat space as a stack of engineering problems. On the return trip the capsule rotated slowly to spread the heat, and every couple of minutes the Earth, the Moon, and the Sun swung past his small window. Somewhere in that rotation the engineering dropped away. Mitchell described what hit him as an explosion of awareness, an overwhelming sense that everything beyond the glass was connected, and that the blue marble in the window held every problem he had ever carried.

The writer Frank White later interviewed dozens of astronauts who described their own version of the same moment. He gave it a name, the overview effect, which is the shift that happens when a person sees the whole Earth at once and their own life suddenly fits inside something vast. Mitchell did not come home with more facts. He came home with a smaller self, and he spent the rest of his life trying to hand that feeling to people who would never leave the ground.

You are chasing the wrong size

Here is what the trees and the window reveal together. We think we want to feel big. We want the opposite. We want to feel small against something large enough that the self finally stops talking.

Status makes the self bigger and louder, which is the precise opposite of rest. Awe makes the self small and quiet, which is the rest we were chasing the whole time. The astronaut, the person standing inside a cathedral, the kid lying flat in the grass watching clouds are all running the same move. They have found something so much larger than their own story that the story stops narrating for a moment. That silence is the actual prize. We have just been paying for a thinner version of it, in a currency that never quite buys the thing.

Three thousand years ago someone stood under a night sky with no electric light anywhere on Earth and wrote, “What is man that you are mindful of him.” People hear that line as despair. They have it backwards. It is the sound of relief, of a person setting the weight of himself down for a moment and finding the night still held.

How to shrink the self on purpose

You can manufacture this. It does not require a rocket.

1. Get under something vast once a day. Open sky, tall trees, deep water, an old building, a long view from a high place. Awe needs scale, and scale is almost always free and almost always nearby. The only cost is that you have to stop and actually look at it.

2. Trade ten minutes of screen for ten minutes of slow looking. A phone is a self-amplifier. It hands you a feed built entirely around your reactions, your opinions, your standing. Awe needs the two things a screen cannot give you, real physical bigness and unhurried time.

3. Go looking for what you do not understand. Awe has a quieter trigger than mountains. Psychologists call it the need for accommodation, which only means meeting something your current mental map cannot hold. A hard book, an honest conversation, a subject you know nothing about. Confusion, taken in willingly, is awe in a smaller and more portable dose.

The turn

Edgar Mitchell trained for years to reach the Moon. The thing that changed him was not the Moon. It was turning the capsule around and looking back.

You do not need to go anywhere. You need to look up, and to let what you see be larger than the voice in your head.

Watch what happens the next time you feel lost. Not lost on a map, but lost about something that matters: the work, the relationship, the city, the version of yourself you are supposed to be turning into. Notice how fast you reach for anything that ends the feeling. You pick the major. You take the job that pays. You decide the relationship is fine, or that it is over. You give the thing a name so it will stop being a question.

Mark Manson put out an episode this month built around twenty-one harsh truths about why you are still lost. The framing is everywhere now, and it carries a quiet assumption underneath it: that being lost is a malfunction, a bug waiting to be patched. The discomfort is real. But it is worth asking what the discomfort actually is. Most of the time it comes from your refusal to stay lost for one more day, not from the lostness itself.

The mind fears the maybe

In 2016, a team at University College London ran an experiment that sounds almost cruel. Subjects sat at a screen and learned, round after round, which symbols predicted a painful electric shock to the hand. Some symbols meant a shock was coming. Some meant safety. Most sat somewhere in between.

The researchers, led by Archy de Berker, measured stress every way they could. They tracked pupil size. They tracked skin conductance, the faint electrical change in your skin when you start to sweat. They measured cortisol, the hormone the body floods itself with under threat, by testing saliva.

The result is the part worth sitting with. The most stressed people in the room were not the ones who knew a shock was coming. They were the ones at fifty percent. A coin flip of pain was harder to bear than guaranteed pain. Zero percent and one hundred percent were the calm zones. The agony lived in the middle, in the maybe.

Your nervous system is not built to fear pain. It is built to fear not knowing.

What Keats called a kind of genius

In December 1817, John Keats sat down to write to his two brothers, George and Tom. He was twenty-two, mostly unknown, and trying to put his finger on what set Shakespeare so far above everyone else. He landed on a phrase he had never used before. He called it Negative Capability.

The word negative throws people. Keats did not mean a flaw or a lack. He meant the opposite of a reflex. Negative Capability, he wrote, is when a person is “capable of being in uncertainties, mysteries, doubts, without any irritable reaching after fact and reason.” The genius lived in not grabbing for an answer at all. That word irritable is the whole thing. It names the itch, the scratching urge to resolve a question before the question has finished its work on you.

Centuries earlier, Paul wrote the same permission into a letter of his own. “Now we see through a glass, darkly.” A glass, in his time, meant a sheet of polished metal that gave back a dim and bent reflection. Paul was describing the normal condition of being a person, not a problem to be fixed. We see dimly. That is the assignment.

A wrong answer ends nothing

We treat a wrong answer as better than no answer, because a wrong answer at least closes the question. It does not close anything. It buries the question under a decision you now have to live inside.

The maybe is loud and short. The forced answer is quiet and long. You feel the uncertainty for a week and it screams at you. You feel the wrong major, the wrong city, the wrong yes for years, and it only ever whispers, which is exactly why you can keep ignoring it until a decade is gone.

Naval Ravikant has a line people repeat often: if you cannot decide, the answer is no. It is sharp advice for an opportunity sitting in front of you, a deal, a plain yes or no with a deadline attached. It is the wrong tool for a question about who you are becoming. Those questions are not asking for a decision yet. They are asking for time, and a fast no is just another way to make them stop asking.

This is the trade almost nobody does the math on. You spend a real thing, years of your life, to buy relief from a feeling that would have passed on its own.

How to stay in the fog without panicking

1. Name the itch, not the question. When you feel the pull to decide right now, say the true thing out loud: this is the discomfort of not knowing, and discomfort is not a signal that the answer is due. The feeling is real. The feeling is not information.

2. Give the question a deadline instead of an answer. Do not force a decision. Force a date. Tell yourself you will not resolve this before the first of next month. A deadline protects the uncertainty long enough for something real to grow inside it.

3. Ask what the maybe is paying for. Uncertainty is not empty time. It is the only stretch you get to gather what a good decision actually needs. Write down what you would learn by waiting two more weeks. If that list is long, the fog is doing its job.

Keats died at twenty-five. He wrote nearly everything he is remembered for inside a few short years, with no idea whether a single line of it would outlast him. He never got the certainty. He just stopped reaching for it.

The answer you are straining toward is not ready yet. Sitting in the dark a while longer is not failure. It is the only place an answer worth keeping has ever been made.