The Hidden Logic of Relationships: What Game Theory Teaches Us About Winning

I want to share with you all an interesting video review, named ‘The hidden science behind getting what you want’, created by Lit Nomad on YouTube.

It was quite interesting — he gives you a view of what science believes is the most optimal personality type for winning at life. His view draws across game theory, computer science and evolutionary biology.

This video clearly demonstrates that long-term success is not achieved through ruthless self-interest, but through strategic reciprocity.

First, what is game theory?

Game theory is the study of decisions where your best move depends on what someone else chooses, while their best move depends on what you choose.

Unlike simple choice making — like deciding to carry an umbrella based on the rain — game theory focuses on interdependent decisions, where you must anticipate the moves and counter-moves of others.

• Key goal: find the optimal move when outcomes are interdependent.
• Classic example: the Prisoner’s Dilemma, showing why two people might snitch on each other even when cooperating gives a better result.

The Prisoner’s Dilemma

The Prisoner’s Dilemma is game theory’s most famous paradox. It shows why two entirely rational individuals might refuse to cooperate, even when cooperation produces the best collective outcome.

Two suspects are arrested for a minor crime. The police suspect they committed a major bank robbery together, but lack hard evidence. They place the suspects in separate interrogation rooms and offer each the exact same deal:

• Option A: snitch on your partner (defect).
• Option B: stay silent (cooperate with your partner).

The payoff matrix

The outcome for each suspect depends entirely on what the other person chooses:

The dilemma, or why rationality fails

If you evaluate the options strictly out of self-interest, snitching is always the mathematically dominant move:

• If your partner stays silent, snitching sets you free — 0 years against 1.
• If your partner snitches, snitching saves you from the worst penalty — 3 years against 5.

Because both suspects reason this way, both snitch and end up with 3 years in prison. If they had simply trusted each other and stayed silent, they would have served only 1 year each.

This concept is centred on equilibrium: a combination of choices where nobody can improve their own result by unilaterally changing. John Nash called this the Nash equilibrium, a stable state where no player can gain an advantage by changing their strategy alone.

The field splits along a few lines that explain most of what you’ll encounter. Zero-sum, where one player’s win is directly another’s loss, such as poker or chess. And non-zero-sum, where players can achieve win-win or lose-lose outcomes, such as a trade agreement or a workplace alliance.

A game needs three things: players, the strategies available to them, and the payoffs for every combination of choices. The core idea is equilibrium, a set of choices where nobody can do better by changing alone. In the Prisoner’s Dilemma, both informing is the equilibrium, even though both would gain if both switched together.

The tournament

Robert Axelrod, at the University of Michigan, decided to settle the question of optimal strategy empirically rather than argue about it. He invited game theorists, economists, mathematicians and psychologists to submit computer programs that would play the iterated dilemma against each other — round-robin, hundreds of rounds per matchup, lowest total sentence wins.

The entries were sophisticated. Programs that modelled their opponent’s likely strategy and adapted. Programs that slipped in an occasional betrayal to test what they could get away with. Programs that changed behaviour depending on how many rounds remained.

The winner, submitted by Anatol Rapoport, was four lines of code. It is called tit-for-tat.

Cooperate on the first move. After that, do whatever your opponent did last time. That is the entire program.

Axelrod published the results, then ran it again with a much larger field who now knew precisely what they were up against and could design specifically to beat it. Sixty-two entries came in, including several built to exploit tit-for-tat’s known weaknesses. It won again.

The clever programs failed for a reason that generalises. Their intelligence went into extracting value from opponents, which meant that when two of them met, they destroyed each other. Tit-for-tat had no mechanism for exploitation at all, so every encounter it had was either productive, or briefly costly and then productive again.

The four traits

If you translate the tit-for-tat code into human behaviour, it comes down to four core traits:

• Be nice. Always start with trust and give people the benefit of the doubt.
• Have a spine. Stand up for yourself; retaliate immediately and proportionately if someone does you wrong.
• Be forgiving. One betrayal earns one betrayal. Punish it once, then let it go and return to a peaceful cycle.
• Be honourable. Keep your actions straightforward, clear and predictable.

Evolutionary biology: reciprocal altruism

Evolutionary biologists find this structure everywhere, under the name reciprocal altruism.

In the animal kingdom, vampire bats die after roughly sixty hours without a blood meal. When a bat goes hungry, a well-fed roostmate will share its meal — but there’s a catch. Gerald Wilkinson’s landmark 1984 study showed that bats keep score: if a bat freeloads without sharing back, the community stops feeding it.

Primate grooming works on a similar system of exchange. Although it serves a hygiene function, who grooms whom depends more on political alliances than parasites. Ultimately, these grooming debts are repaid with physical support during group conflicts.

Red-winged blackbirds also practise reciprocal defence. Males will risk their lives to help neighbours drive away predators, but they track who cooperates. If a neighbour refuses to help defend nearby nests, the rest of the flock abandons them when their own nest is attacked.

Humans in concept to Game Theory

So finally we get to humans, right?

We see this same dynamic in our everyday lives, especially in workplace politics. Winning doesn’t come from going solo; it comes from building strong, reliable alliances with people who have your back. Here is the core takeaway: If your goal is self-interest, the smartest strategy is to be strategically unselfish.

You must have the strength to forgive former rivals, simply because holding onto enemies is a bad investment. Nobody wins by collecting enemies. Instead, build pragmatic alliances. Even if trust isn’t 100% restored, reopening the door to cooperation allows both sides to find mutual gain. The goal isn’t affection, it’s strategic alignment.

Key Takeaways (TLDR)

• Nash Equilibrium: Both defecting is the stable state because neither player can improve their sentence by changing their mind alone.
• Individual vs. Collective Rationality: Pursuit of pure self-interest leads to a worse outcome for everyone involved.
• Game Theory application is used everywhere and includes:
  • Economics & Business: Pricing wars, auctions, and contract negotiations.
  • Evolutionary Biology: Understanding why animals cooperate or share food.
  • Politics & Military: Geopolitical alliances, voting systems, and nuclear deterrence.
  • Computer Science: Training AI algorithms and designing multi-agent networks.