Life is a Game
It Gives You Choices, But Do You Know the Odds?
Let me take you to a moment I witnessed on a British game show: Deal or No Deal. Picture this: A contestant is down to her last few boxes. On the board, four wild possibilities remain: £1, £50, £25,000, and £75,000. The banker offers her a safe £4,000 to walk away.
But wait… Her friend leans in and confidently whispers, “Bad things don’t happen to good people. Take the chance.”
She took it. And walked away with a grand total of… £50!
Why? Not because she calculated risk poorly (which she did) or because she trusted the wrong person (which she also did), but because she BELIEVED in a lovely-sounding LIE!
One that sounds like it belongs in a Disney movie… not in the real world.
Comforting Delusions Cost Us More Than We Think
What her friend said isn’t rare; it’s a classic example of the Just-World Hypothesis: the belief that the universe is FAIR and JUSTICE will prevail.
Good people win. Bad people lose. Karma has GPS and a fast response time!
The Science Behind the Delusion
The Just-World Hypothesis was first identified by social psychologist Melvin Lerner in the 1960s through groundbreaking experiments. Lerner discovered that people have such a strong need to believe the world is fair that they will even blame innocent victims to maintain this belief.
In his seminal study, participants watched a woman apparently receiving electric shocks for wrong answers. Rather than sympathise with the victim, many participants convinced themselves she somehow deserved the pain. This wasn’t callousness—it was psychological self-protection.
Research shows that people who strongly believe in a just world tend to be more authoritarian, more likely to blame victims, and less inclined to work for social change. As Lerner noted, the belief in a just world may actually undermine genuine commitment to justice.
But real life doesn’t follow karma coupons.
Take the recent Air India plane crash. Hundreds died. One man, seated in 11A, walked out alive, the lone survivor.
Was he “good”? Were the others “bad”? It’s ABSURD even to ask!
If bad things only happened to bad people, then how do we explain the deaths of Mahatma Gandhi, Martin Luther King Jr., Abraham Lincoln, Malcolm X, or John Lennon… all gunned down? And all considered “good” by most moral yardsticks!
Let’s face it: life doesn’t reward goodness like a loyalty programme. It plays dice. And sometimes, it doesn’t even tell you there’s a game going on.
We buy into emotional logic because it soothes us. It tells us we’re safe as long as we’re “good.”
And when faced with uncertain outcomes, we cling to narratives instead of numbers. We reach for reassurance, not reasoning.
That’s how gamblers double down. That’s how startups burn through cash with nothing but hope and hubris. And that’s how people walk away from a guaranteed £4,000 for the illusion of £75,000.
Real Life Runs on Game Theory – Not Gut Feel
Life is a game. But not a guessing game… it’s a strategy game. You’re constantly making choices whilst others are doing the same. Every move is interconnected.
The Nobel Prize-Winning Framework
Game Theory, developed by mathematician John Nash (who won the Nobel Prize in Economics in 1994), isn’t just for economists. It’s the mathematical study of strategic decision-making where each participant’s outcome depends on the actions of all.
A Nash equilibrium occurs when no player can improve their position by unilaterally changing their strategy—everyone is making the best decision they can, given what others are doing.
This framework applies to:
- Parents negotiating screen time
- Managers allocating bonuses
- Politicians debating policies
- Your daily debate: “Do I reply to this WhatsApp message now or pretend I never saw it?”
In these “games,” what others believe you’ll do influences what they do. Your strategy has to account for their strategy. That’s Game Theory in action.
Modern research shows that even professional tennis players unconsciously use game theory principles in their serves, demonstrating that strategic thinking is both learnable and measurable.
Example 1: The Startup That Said “No” to Millions
A real founder once declined a generous acquisition offer early in her startup journey. Her mentor told her, “If you believe in your product, never sell.” She believed. Wholeheartedly.
Two years later, a competitor launched a better version. Customers moved on. Investors backed out. The startup folded.
What went wrong?
She treated belief as strategy. But belief is fuel, not GPS. Her decision wasn’t made through Game Theory or market analysis… it was made with romantic idealism.
And in this game, idealists often get checkmated.
A proper game-theoretic analysis would have considered: What are competitors likely to do? How might market conditions change? What are the probabilities of different outcomes? Instead, she relied on the comforting but false belief that “good products always win.”
Why We’re So Bad at Probability (and Proud of It)
Humans have brains designed for storytelling, not statistics.
We overweight small probabilities (that lottery win could be you). We underweight large risks (it’s just one missed EMI, right?). We cling to patterns that don’t exist. We trust advice from “well-meaning” people who wouldn’t pass a high-school stats quiz.
The Science of Bad Decisions
In Behavioural Finance, this is explained by Prospect Theory—Daniel Kahneman and Amos Tversky’s Nobel Prize-winning framework that revolutionised our understanding of decision-making under risk.
Their research, confirmed by studies across 19 countries, shows that we hate losses more than we like equivalent gains. The pain of losing £100 feels roughly twice as intense as the pleasure of gaining £100.
This isn’t just psychology—it’s measurable, predictable, and universal across cultures.
That’s why investors hold on to tanking stocks. It’s not hope. It’s denial. And it’s expensive.
Recent global studies replicating Kahneman and Tversky’s original work show that these patterns hold true across different cultures, economic conditions, and generations. The research demonstrates a 90% replication rate for the core principles of prospect theory, making it one of the most robust findings in behavioural science.
Example 2: Ramesh and the Reluctant Exit
Ramesh, a salaried professional, had put a chunk of money into a “hot stock” that soon started sinking. His logic? “It’ll bounce back. I’m a long-term investor.”
His wife asked him, “If you didn’t already own it, would you buy it today?”
That silence? That’s the sound of cognitive dissonance popping like bubble wrap.
He was stuck in the Sunk Cost Fallacy. He couldn’t sell because selling meant admitting he was wrong. But every day he held on, he lost more.
Research in behavioural finance shows this pattern repeatedly: investors hold losing stocks 50% longer than winning stocks, purely to avoid the psychological pain of realising a loss.
The Banker in Your Life Is Always Smiling
Let’s return to Deal or No Deal. That Banker? He’s not just in the studio. He’s in your inbox. Your investment decisions. Your job offers. Your relationships.
He represents certainty… often less shiny, but safer.
Choosing whether to “Deal or No Deal” is something you do every day.
And if you’re relying on emotion over evaluation, your win rate will be as good as a coin toss.
The Mathematics of Life Decisions
Game theory provides frameworks for these daily decisions:
- The Ultimatum Game: How much compromise is worth it in negotiations?
- The Prisoner’s Dilemma: When should you cooperate vs. compete?
- The Coordination Game: How do you align with others when communication is limited?
And coins, let’s face it, aren’t great at wealth creation.
Example 3: The Love Story Without Logic
She’s in love. He’s charming but non-committal. For three years, she holds on. Her friends say, “If it’s meant to be, it’ll be.”
Spoiler: It wasn’t. He ghosted her the moment someone “better” came along.
She believed in fate. She should’ve believed in patterns. Missed calls, vague plans, shifting goalposts… all signs of a non-player in the game of commitment.
Game theory would analyse this as an asymmetric game where one player (him) has more options and less commitment, whilst the other player (her) has invested more and has fewer alternatives. The predictable outcome? The player with more options exploits the situation.
Hope is a lovely feeling. But it’s a terrible strategy.
So Why Didn’t We Learn This in School?
Why do we spend years learning chemical equations and the types of volcanoes, but not:
- How to negotiate?
- How to evaluate risk?
- How to think critically about probability?
We’re sent into adult life with a calculator but no concept of opportunity cost. We learn history dates but not history’s lessons.
The Real-World Curriculum We Need
In my view, the core curriculum for the real world should include:
- Game Theory: So we stop playing checkers in a chess world. Understanding strategic interactions helps in everything from career decisions to family dynamics.
- Probability and Statistics: So we finally stop believing in “gut feel” over data. Research shows that even basic statistical literacy dramatically improves life outcomes.
- Behavioural Finance: So we spot our own self-sabotage before it hits. Understanding cognitive biases like loss aversion and overconfidence can save us from costly mistakes.
- Critical Thinking: So we don’t fall for people who say, “Bad things don’t happen to good people.” Learning to question assumptions and evaluate evidence is perhaps the most practical skill of all.
Modern research in educational psychology shows that students who learn decision-making frameworks and probability reasoning perform better not just academically, but in real-world situations involving risk and uncertainty.
Ten Seconds of Shameless Review
If you’ve read my previous posts: Instinct, Intuition and Reality; Grades or Growth; Reality, Reasoning and Randomness—you’ll notice this recurring villain: faulty thinking.
Whether it’s hoarding clutter (The Hidden Cost of Clutter), blindly trusting our noses (The Scent of Influence), or misjudging leadership cues (Leadership: A Privilege, Not a Pedestal)—the pattern is clear.
The mind plays games… it’s time you learned to win them.
So… What’s the Real Game Then?
Here’s what life actually is:
- A Game of Limited Information: You never have all the facts. Research in decision science shows that the most successful people learn to make good decisions with incomplete information rather than waiting for perfect data.
- The Rules Keep Changing: What worked yesterday might not work today. Adaptability beats perfectionism.
- The Players Bluff: People don’t always reveal their true intentions or capabilities. Game theory teaches us to read between the lines and plan for multiple scenarios.
- The Stakes Aren’t Always Visible: The real consequences often emerge later. Short-term thinking kills long-term success.
- Luck, That Sneaky Wildcard, Keeps Popping Up Uninvited: Randomness plays a larger role than we’d like to admit. The key is building systems that can handle uncertainty.
The Strategy for Winning
The only way to play well?
- Know the Odds: Learn basic probability. Understand that your brain systematically misestimates risks and rewards.
- Read the Room: Develop situational awareness. In game theory terms, you need to understand the other players’ incentives and constraints.
- Stop Using Disney Logic in a Poker Game: Abandon the just-world hypothesis. Good intentions don’t guarantee good outcomes. Merit doesn’t ensure rewards. The world is far more random than we’d like to believe.
Research from the past four decades of behavioural science consistently shows that people who understand these principles make better decisions, experience less anxiety about uncertainty, and achieve more of their goals.
The Contestant Lost £3,950… But You Don’t Have To
She believed a lovely lie. You just read 2,000+ words telling you not to.
So the next time someone tells you, “Take the chance; nothing bad will happen,” pause.
Ask yourself: “What’s the actual probability here? What would game theory suggest? Am I falling for the just-world fallacy?”
Because life is a game. It’s governed by probability, influenced by strategy, and shaped by the decisions of multiple players with different information and incentives.
The good news? Once you understand the rules, you can play to win.
And it’s high time we stopped playing blindfolded.
Well, now you know it too!
Have you had any experience where your emotions got the better of reasoning and you ended up with the wrong end of the stick? Do share, if you can!
About the Author: Sandeep Ohri is a Behavioural Strategy Consultant, USIIC Chapter President Bengaluru, visiting faculty at universities, and host of the Mindset Makeover Podcast. He’s certified by Ogilvy Consulting UK & Irrational Labs USA and helps organisations make better decisions through behavioural science.
References:
Benartzi, S., & Thaler, R. H. (1995). Myopic loss aversion and the equity premium puzzle. Quarterly Journal of Economics, 110(1), 73-92.
Kahneman, D. (2011). Thinking, Fast and Slow. Farrar, Straus and Giroux.
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263-291.
Lerner, M. J. (1980). The Belief in a Just World: A Fundamental Delusion. Plenum Press.
Lerner, M. J., & Miller, D. T. (1978). Just world research and the attribution process: Looking back and ahead. Psychological Bulletin, 85(5), 1030-1051.
Nash, J. (1950). Equilibrium points in N-person games. Proceedings of the National Academy of Sciences, 36(1), 48-49.
Nash, J. (1951). Non-cooperative games. Annals of Mathematics, 54(2), 286-295.
Rubin, Z., & Peplau, L. A. (1975). Who believes in a just world? Journal of Social Issues, 31(3), 65-89.
Ruggeri, K., et al. (2020). Replicating patterns of prospect theory for decision under risk. Nature Human Behaviour, 4(6), 622-633.
Samuelson, W., & Zeckhauser, R. (1988). Status quo bias in decision making. Journal of Risk and Uncertainty, 1(1), 7-59.
Thaler, R. H. (1980). Toward a positive theory of consumer choice. Journal of Economic Behavior & Organization, 1(1), 39-60.
Tversky, A., & Kahneman, D. (1981). The framing of decisions and the psychology of choice. Science, 211(4481), 453-458.
Tversky, A., & Kahneman, D. (1992). Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5(4), 297-323.
Von Neumann, J., & Morgenstern, O. (1944). Theory of Games and Economic Behavior. Princeton University Press.
💬 Got thoughts? Drop a comment below — I read them all.
