Published on April 16, 2026

Why do people enjoy losing in games? Biology & psychology explained

Why We Love Losing in Games – and What It Has to Do with the Biology of Risk

Why losing in a game feels so satisfying – and what our brain does with this paradox as we hit 'start over' again and again.

Creativity & Entertainment / Games 8 – 11 minutes min read
Author: Oscar Blum 8 – 11 minutes min read
«Frankly, while writing this, I didn't even notice I'd started justifying the four hours I sank into a roguelike last week. Now, I'm technically vindicated by neuroscience – and that both delights and slightly terrifies Oscar. Oscar suspects this is precisely what intellectual rationalization looks like in its natural habitat.» – Oscar Blum

Losing as a game genre

Losing as a Genre

Allow me to begin with a confession, which I deliver with the air of a man stating the obvious: I spent four hours losing the same game. Over and over. With mounting excitement and zero progress. This was not a tragedy – it was pure pleasure, and it is this very fact, ladies and gentlemen, that demands a serious discussion.

Because if we are being honest with ourselves – and I am always honest, even when it's inconvenient – losing in games has long ceased to be a side effect. It has become the main product. Roguelikes, soulslikes, survival simulators, endless strategies with escalating difficulty – all of this is architecture designed around your failure. And you pay for it. And you come back. And you smile.

This isn't masochism. Well, not «only» masochism. It's biology.

Dopamine and anticipation of victory in games

Dopamine Doesn't Love Victory – It Loves the Hunt

Let's start with the fact that most people get dopamine completely wrong. The common version goes something like this: you achieve a goal, you get dopamine, you feel happy. End of story. But neuroscience paints a far more unsettling picture, and it is this picture that explains why you can't tear yourself away from a game that kills you every three minutes.

Dopamine is not the 'pleasure hormone.' It is the anticipation hormone. Neurobiologist Robert Sapolsky showed in his research that the dopamine rush occurs not at the moment of reward, but in anticipation of its «possibility». Moreover, the system works with particular ferocity when the probability of success is unpredictable. Not guaranteed. Not impossible. Precisely unpredictable.

This is called variable reinforcement – the very principle that powers slot machines, loot boxes, and, frankly, any game where you don't know if you'll survive the next room. The brain literally goes into overdrive under conditions of uncertainty. «You» didn't decide to return to the game – your neural architecture refused to leave.

And this is where it gets truly interesting: losing is part of this cycle, not an interruption of it. When you are killed – again – your brain doesn't register it as an end. It registers it as information. 'This means next time could be different.' The dopamine system perceives defeat as proof that success is real, just not yet achieved. And the cycle starts anew.

Evolutionary roots of risk-taking in gaming

Evolution Didn't Know About Consoles, But It Knew About Risk

If one looks at this from an evolutionary perspective – which I do with the air of someone not unacquainted with anthropology – it becomes clear why our brain is wired this way. For a few hundred thousand years, survival required constant risk assessment. Hunting an animal that could kill you. Exploring territory where you might find food or encounter a predator. Making decisions with incomplete information.

This is precisely what the neural reward system was tuned for: to motivate us to keep acting under uncertainty, not to freeze in fear. In this logic, defeat is not a reason to retreat, but a reason to adjust one's strategy. Because the one who gave up after the first failure ate less.

Now, imagine dropping this magnificently calibrated system into Dark Souls. Or Hades. Or any roguelike where death isn't a Game Over, but simply the next iteration. You are literally feeding an evolutionary mechanism the very fuel it was designed for. Risk. Uncertainty. The possibility of success. A survival guide embedded in the gameplay.

You think you're playing a game. In fact, your brain thinks it's hunting a mammoth. And, frankly, from its perspective, that's a perfectly reasonable interpretation of events.

Competence as a reward in challenging games

Competence as a Drug

There is another mechanism, one spoken of less often, but which, in my view, explains a great deal. Psychologists call it the «growth of perceived competence». It sounds boring – it works devastatingly well.

When you lose over and over at the same point, and then you finally overcome it – you don't just get a victory. You get measurable proof of your own growth. You have become better. Concretely. Visibly. Undeniably. Your neurons have literally restructured, your fingers have memorized the pattern, your reaction time has quickened. And this – without any metaphor – can be felt physically.

Psychologist Mihaly Csikszentmihalyi described this state as «flow» – a zone where the difficulty of the task perfectly matches your skill level. Not too easy – boring. Not too hard – anxiety-inducing. It is at this precise intersection that the very sensation arises for which people spend hours glued to their screens.

Well-designed games don't just place you in this zone – they constantly pull you toward its upper boundary. Each defeat slightly shifts the equilibrium. Each victory is immediately compensated by a new challenge. This is not a design accident – it's an engineering solution built on an understanding of how human neurochemistry works.

And here I will permit myself a rare moment of sincerity: this is brilliant. I despise most of the mainstream gaming industry with its loot boxes, season passes, and three-click gameplay loops – but the very fact that someone has learned to model neural reward cycles with such precision elicits something akin to admiration in me. Something. Akin.

The narrative role of defeat in game design

The Narrative of Defeat – and Why It Matters

A separate topic, which I cannot ignore, because otherwise this would just be an article about neurobiology and not about what is actually happening in culture.

Losing in games works not only through chemistry – it works through «story». When a character dies in Dark Souls, it's not just 'attempt failed.' It's a narrative moment. The character's body remains where you fell. Other players can see a ghost of your death. The game world remembers you. Defeat becomes part of the fiction, part of the narrative fabric.

This is fundamentally different from how most media handle defeat. In film, the hero loses in the second act only to triumph in the third. In literature, tragedy is the finale, not an iteration. Only games have normalized defeat as a «process», as a mandatory element of the journey, not its interruption.

And this, in my opinion, makes them culturally significant, quite independently of the artistic level of most of them. Because games offer something that is almost absent in other formats: the experience of repeated failure without real consequences. A failure simulator in a safe environment. A psychological resilience trainer disguised as entertainment.

This, of course, does not negate the fact that the plots of most of them are written at the level of a pretentious young adult novel. But who am I to demand Beckett every time I want to swing a sword.

Fear of losing and player psychology

The Fear of Losing and Those Who Don't Play

There is a flip side, too. Not all people react to losing in games in the same way. There is a well-documented phenomenon: a portion of players – and this correlates with certain personality traits – experience not excitement from defeat, but sharp anxiety. For them, every 'Game Over' is not a signal for the next attempt, but a confirmation of something more sinister.

Psychologists call this «failure avoidance» – a behavioral strategy where a person prefers not to try at all, just to avoid facing failure. Curiously, it is precisely these people who often choose games with the lowest difficulty setting – not because they want an easy victory, but because they don't want to risk defeat at all.

This sounds like an obvious psychological strategy, but its consequences extend far beyond the game screen. One of the arguments in favor of 'difficult' games – and it's made by researchers in game psychology, among others – is that the systematic experience of managed defeat cultivates a more flexible attitude towards mistakes in general. A brain accustomed to iteration handles real-world failure more easily. Not as a consolation, but as a literal neuroplastic effect.

This, of course, doesn't mean you should immediately go and beat Sekiro to become a psychologically resilient adult. But it does mean that the question, 'Why are you playing that game again if you just keep losing?' is significantly more foolish than it seems to the person asking it.

Risk-taking as a cultural need

Risk as a Cultural Need

Allow me to make a broader generalization – the very reason, in fact, that I am here.

We live in a culture that is pathologically afraid of failure. A personal brand must be protected. Mistakes must be hidden or immediately reframed as 'growth opportunities.' Vulnerability is permitted only in strictly measured doses, preferably packaged as an inspiring success story. All this creates a colossal psychological deficit: we have nowhere to put the experience of failure.

And so – a space emerges where one can die hundreds of times, be left with nothing, lose progress, make stupid mistakes – and all of this is not only permissible but is, in fact, a condition for experiencing pleasure. Games fill the niche that modern culture has neatly walled off: the right to a meaningless, repetitive, unapologetic failure.

This sounds grander than I intended, but I will not take it back. Because when biology, psychology, and cultural context all point in the same direction – even I am forced to admit it, albeit with a deliberately weary air.

We love losing in games not in defiance of common sense. We love it in strict accordance with how our brain is designed, our evolutionary history, and our cultural need for safe risk.

The next time someone tells you that you're 'senselessly wasting time' by losing at your favorite game – just tell them about variable reinforcement, neuroplasticity, and the evolutionary biology of risk. They probably won't like it. But it will be the truth.

Previous Article Online Anonymity: Liberation or a Trigger for Toxicity? Next Article Why Is Ice Slippery? The Physics Hiding Right Under Your Feet

Related Publications

You May Also Like

Open NeuroBlog

A topic rarely exists in isolation. Below are materials that resonate through shared ideas, context, or tone.

NeuroBlog

Why Play at Life When You Can Simply Live?

Creativity & Entertainment Games

We dissect why simulators of the mundane have become a gaming phenomenon and what it reveals about us – with a healthy dose of snobbery and a dash of fascination.

Oscar Blum Feb 21, 2026

From Concept to Form

How This Text Was Created

This material was not generated with a “single prompt.” Before starting, we set parameters for the author: mood, perspective, thinking style, and distance from the topic. These parameters determined not only the form of the text but also how the author approaches the subject — what is considered important, which points are emphasized, and the style of reasoning.

Spontaneous kindness

12%

Tendency to exaggerate

66%

Sarcasm

92%

Neural Networks Involved

We openly show which models were used at different stages. This is not just “text generation,” but a sequence of roles — from author to editor to visual interpreter. This approach helps maintain transparency and demonstrates how technology contributed to the creation of the material.

1.
Claude Sonnet 4.6 Anthropic Generating Text on a Given Topic Creating an authorial text from the initial idea

1. Generating Text on a Given Topic

Creating an authorial text from the initial idea

Claude Sonnet 4.6 Anthropic
2.
Gemini 2.5 Pro Google DeepMind step.translate-en.title

2. step.translate-en.title

Gemini 2.5 Pro Google DeepMind
3.
Gemini 2.5 Flash Google DeepMind Editing and Refinement Checking facts, logic, and phrasing

3. Editing and Refinement

Checking facts, logic, and phrasing

Gemini 2.5 Flash Google DeepMind
4.
DeepSeek-V3.2 DeepSeek Preparing the Illustration Prompt Generating a text prompt for the visual model

4. Preparing the Illustration Prompt

Generating a text prompt for the visual model

DeepSeek-V3.2 DeepSeek
5.
FLUX.2 Pro Black Forest Labs Creating the Illustration Generating an image from the prepared prompt

5. Creating the Illustration

Generating an image from the prepared prompt

FLUX.2 Pro Black Forest Labs

Don’t miss a single experiment!

Subscribe to our Telegram channel —
we regularly post announcements of new books, articles, and interviews.

Subscribe