Why Smart People Keep Recreating Bad Systems

Kevin

Hatched by Kevin

Jul 25, 2026

10 min read

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What if the biggest mistake in business, politics, and even friendships is not choosing the wrong strategy, but failing to notice which game you are actually playing?

Most people think problems are caused by bad people, bad plans, or bad luck. But a startling number of persistent frustrations come from something subtler: the incentives are doing exactly what they were designed to do, even when the outcome is awful. The meeting that goes nowhere, the team that hoards information, the CRM nobody updates, the consulting project that starts with chaos, the status race that never ends, the relationship that stays shallow, these are not random failures. They are often stable equilibria.

That is the uncomfortable truth: a bad system can be perfectly rational from the inside.

The hidden question beneath every frustrating interaction

Before any strategic move, there is a deeper question: what kind of game am I in?

That question matters because the same behavior can be brilliant in one setting and destructive in another. Sharing information can be generosity in a collaboration, or self-sabotage in a hostile environment. Working absurd hours can be proof of commitment, or a costly signal in an arms race. Being “nice” can build trust in a repeated relationship, or invite exploitation in a one-shot encounter.

A lot of life advice fails because it assumes a single universal game. It tells you to cooperate, or compete, or be authentic, or protect yourself, as if the rules never change. But real life is a patchwork of games: some are zero-sum, some are positive-sum, some are repeated, some are one-shot, some reward competence, some reward signaling, and many are trapped in equilibria that everyone privately hates.

That is why two smart people can look at the same situation and make opposite moves, both rationally. One sees a trust-building opportunity. The other sees a reputational minefield. One sees a process problem. The other sees a status contest. One sees a shared resource. The other sees a free rider problem. They are not disagreeing about facts. They are disagreeing about the game.

Most conflict is not a clash of personalities. It is a clash of game models.

Once you see that, a lot of human behavior becomes legible. Not just at a boardroom table, but anywhere people must coordinate, compete, signal, or decide whether to trust each other.


Why good intentions keep producing bad outcomes

The most useful thing game theory does is not make people colder. It makes them more precise. It shows how people can sincerely want a better result and still remain trapped in a worse one.

Consider the classic coordination problem. Everyone would prefer a better shared outcome, but each person hesitates because they are waiting for others to move first. The result is a stable but suboptimal pattern. This is how teams end up with incomplete documentation, awkward feedback norms, or meetings nobody enjoys but everyone keeps attending. Individually, nobody wants to be the first to change. Collectively, everyone wants a change.

The CRM example is perfect. Maintaining notes in a CRM is low signal activity for any one person who is diligent. It creates value mostly when everyone participates. But because the payoff is diffuse and the cost is immediate, each person waits. The system settles into a bad equilibrium: everyone agrees the notes should be updated, and almost nobody updates them.

This is not laziness in the ordinary sense. It is a coordination failure.

The same pattern appears in relationships. People often want deeper connection, but nobody wants to make the first vulnerable move. The conversation stays safe, polished, and shallow. That is not because both people are fake. It is because vulnerability is a coordination risk. If one person opens up and the other stays guarded, the opener pays the cost alone.

A repeated game changes this. If you know you will interact again, cooperation is no longer naïve. It becomes strategic. In repeated settings, reputation matters. A one-time betrayal can poison future cooperation. A reliable pattern of reciprocity can create a durable bond. The logic of tit for tat, cooperate first, then mirror what you receive, works because it makes your behavior legible. You are not a sucker, and you are not a saboteur. You are selective, predictable, and hard to exploit.

This is why many of the best professional relationships are not built on grand trust declarations. They are built on small, repeated proofs. Deliver what you said you would deliver. Respond promptly. Share useful context. Don’t pretend uncertainty is certainty. Over time, those small acts make you someone people want to keep in the game.


The real economy is often an economy of signals

Not all costly behavior is waste, but some of the world’s most expensive behavior exists because people are trying to prove something rather than produce something.

That is the logic of signaling games. When quality is hard to observe directly, people use costly actions to communicate it indirectly. A degree can signal competence. Long hours can signal ambition. A luxury purchase can signal status. A polished presentation can signal seriousness. The problem is that signals tend to escalate. If everyone can mimic the old signal, the signal stops working, so the bar rises. The competition becomes an arms race.

This is why certain industries normalize exhausting hours even when those hours are not strictly necessary for the work. The hours are not just labor. They are evidence of devotion. But once devotion is measured through sacrifice, rational people end up paying a tax to prove they belong. The cost rises, the relative ranking barely changes, and the whole system becomes a treadmill.

The same dynamic explains why credential inflation and status goods can feel irrational from the outside. A certificate, a title, a luxury item, a niche productivity ritual, these can all become badges in a tournament for attention and legitimacy. Individually, each person thinks they are making a strategic investment. Collectively, the group is often just burning resources to preserve rank.

This is where many smart people get trapped. They know the signal is wasteful, but refusing to signal can make them invisible. That creates a brutal paradox: you may dislike the game, but if enough other people are playing it, opting out can feel like self-erasure.

The lesson is not to reject signaling entirely. Sometimes signal is the substance. Leaders do need to show commitment. Professionals do need to establish competence. But the key is to distinguish between signals that create trust and signals that merely consume energy. A useful question is this: if nobody could see this, would I still do it? If the answer is no, you are probably buying status rather than value.

A lot of “professionalism” is really theater for uncertain observers.

That does not make theater pointless. It means you should know when you are performing and what the performance is buying you.


How to think like a strategist without becoming cynical

There is a trap in learning game theory: you become suspicious of everyone. You start seeing manipulation everywhere, and you confuse incentive awareness with moral wisdom. But the deeper goal is not paranoia. It is clarity.

A good strategist does not assume people are evil. A good strategist assumes people are responsive to incentives, constraints, and context. That one shift changes everything. The question becomes less “What is wrong with this person?” and more “What game are they optimizing for?”

This is especially useful in consulting, leadership, and high-stakes work where the initial context is messy. A strong first move is not to dive straight into action. It is to build a map of the game:

  1. What are the stated goals?
  2. Who are the stakeholders, and what do they care about?
  3. What information is asymmetric or missing?
  4. What actions are rewarded, and by whom?
  5. What behavior is rational for individuals but damaging for the group?

That is why a project often begins with context gathering, turning a statement of work into a plan, and building an archetype map of stakeholders. This is not administrative overhead. It is strategic intelligence. You are trying to understand the incentives behind the surface language.

A stakeholder archetype map is especially powerful because it forces you to see people not as labels but as strategic actors. One person may care most about risk. Another about speed. Another about looking competent in front of their boss. Another about not being surprised. Another about protecting their domain. If you ignore these motivations, you will spend time crafting the perfect plan and then lose the room. If you understand them, you can design communication that lands.

That is the deeper connection between project planning and game theory. A plan is not just a list of tasks. It is a way to align a distributed set of players so the project does not collapse into hidden resistance, duplicated effort, or passive noncompliance.

The best operators do not merely ask, “What should we do?” They ask, “What incentives will make the right thing easy and the wrong thing expensive?”

That is the difference between hoping for cooperation and engineering it.


The most important move is often to change the game

Many people keep trying to win a game whose structure guarantees frustration.

If a workplace rewards appearance over output, you can work harder and still lose to better performers of optics. If a relationship rewards emotional distance, you can keep proving loyalty and still remain unseen. If a team rewards hoarding rather than sharing, you can become more generous and still get outcompeted by people who withhold. In each case, the move is not just to play better. It is to ask whether the game itself should be changed.

This is a powerful distinction. Some problems are solved by strategy inside the game. Others are solved by changing the boundary conditions of the game.

For example, a team that cannot get people to update a CRM should ask whether the system makes contribution too invisible. If diligent effort is low signal for the individual, then the organization may need visible ownership, peer review, automation, or a different workflow. Do not moralize the noncompliance first. Rebuild the incentive structure.

Likewise, if two people in a relationship want intimacy but keep staying surface-level, the answer may not be “try harder to open up” in the abstract. The answer may be to create repeated, low-risk moments of mutual disclosure. Change the game from one giant vulnerability test into a series of small cooperative rounds.

In other words, make the right move the easiest move.

That principle applies everywhere. Good systems do not depend on heroic virtue. They channel ordinary self-interest toward collective benefit. Bad systems do the opposite. They force people to choose between doing what helps everyone and doing what is safest, cheapest, or most visible for themselves.

When people call a culture “toxic,” they often mean that the local game rewards the wrong things. When they call a process “broken,” they often mean it has a stable equilibrium nobody likes. When they say “nobody is accountable,” they often mean the incentive structure makes accountability individually costly and collectively optional.

That is why the most useful strategic habit is not cleverness. It is diagnosis.

The first step in fixing behavior is rarely motivation. It is redesigning the game that behavior is responding to.


Key Takeaways

  1. Ask what game you are in before deciding what to do. The same action can be wise or foolish depending on whether the setting is one-shot, repeated, cooperative, competitive, or a signaling contest.

  2. Treat persistent bad behavior as a system clue, not just a character flaw. If people keep acting in counterproductive ways, the incentive structure may be producing that outcome on purpose.

  3. Use repeated games to your advantage. Build reputation through consistency, reciprocity, and predictable cooperation. People trust what they can forecast.

  4. Be skeptical of costly signals that do not create real value. Ask whether the effort is producing substance or just broadcasting status.

  5. When a game is unwinnable or wasteful, try to change the rules. Reframe the problem, redesign the process, or move to a different arena entirely.


The deeper lesson

The most dangerous illusion in life is believing that people simply reveal who they are. Often, they are revealing the game they are trapped in.

That does not excuse bad behavior. It explains why good intentions so often fail. It explains why smart teams become dysfunctional, why collaboration turns into posturing, why cooperation is hard to sustain, and why obvious inefficiencies survive for years. In many cases, the people involved are not irrational. They are perfectly adapted to a poor equilibrium.

Once you see that, your goal changes. You stop asking only how to beat people, and start asking how to build conditions where the better move is also the easier move. You stop confusing signals for substance. You stop moralizing every breakdown. You start designing for alignment.

And that may be the most underrated strategic skill of all: not winning a game, but recognizing when the world has quietly tricked everyone into playing the wrong one.

Sources

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