Why games contain chance at all
If a game had no randomness and no hidden information, the best strategy would simply be a matter of calculation, and the more experienced player would win nearly every time. Chess has no dice, and strong players beat weaker ones very reliably for exactly this reason.
Designers add random events for several practical purposes:
- Replayability. Shuffled decks and random maps mean no two sessions are identical.
- Tension. When an outcome is uncertain, a decision feels like it matters.
- Accessibility. Chance gives newer players a real if smaller opportunity against experts, which keeps mixed groups playing together.
- Variety of decisions. Players must plan for several possible futures instead of memorising one line.
Different games set the dial in different places. Understanding where a particular game sits tells you how much to trust a single result.
Two places randomness can sit
It helps to notice when chance happens relative to your choice.
Input randomness happens before you decide. You draw a hand, see a random map or roll for your available moves, and then choose what to do. Because you can respond to what you see, skill has room to matter.
Output randomness happens after you decide. You commit to an action, then dice or a hit chance determine whether it works. Here a good decision can still fail, and the same player can have wildly different nights.
Neither type is better. Input randomness tends to reward adaptation, while output randomness tends to create drama and swings. Knowing which type you face tells you whether to spend effort planning around the information you have or to prepare for the chance that a sound plan simply fails.
What a rational player does with chance
A rational treatment of random events is not about predicting them. It is about handling them well. A few habits cover most of it.
Judge the decision, not the result
Suppose you attack with a 75 percent chance to succeed and it fails. The attack was not wrong; the 25 percent happened. If you changed your approach after every bad outcome, you would drift toward worse decisions based on noise. A useful test is to ask what you would do if you could replay the same position many times.
Do not expect chance to balance itself
After five heads in a row, a fair coin still has a 1/2 chance of heads on the next flip. Dice and shuffled decks have no memory. Many players feel that a result is “due”, but unless the game truly changes its odds, such as a deck that gets depleted, nothing is owed. Telling the two cases apart is the key skill. A deck loses cards as they are drawn, so its odds do change; a die does not.
Plan for variance
Even a favourable chance fails sometimes. A 90 percent success rate fails once in ten attempts on average, and across a longer session a failure becomes very likely. Resources, positioning and backup options matter most when the cost of a single failure is high. This is part of risk management: you accept that chance will sometimes go against you and avoid setups where one bad outcome ends everything.
Match the risk to your position
When you are comfortably ahead, reducing the number of chancy events usually helps you, because variance mostly gives the other side a way back. When you are behind, you may need more variance to have a realistic route to winning. That is a calculated risk rather than recklessness, as long as you understand what the odds really are.
Chance as a design tool and a reading tool
Designers deliberately tune random events. In tabletop mechanics, a modifier added to a die roll shifts the odds without removing the uncertainty. In video game luck, a hit chance shown as 80 percent is a statement about the long run, not a promise about the next shot. Some games also hide small adjustments so that streaks feel less punishing, which is why the experienced feel of a game can differ from the plain arithmetic.
If you ever wonder whether a game is “rigged” because of a bad streak, the first step is to check how likely the streak actually was. Long runs of bad results are common over many attempts. For example, a 1-in-5 event failing to appear in 10 tries happens with probability (4/5)^10, which is about 10.7 percent. That is not rare at all across many players or sessions.
Handling the emotional side
Randomness is uncomfortable, and emotional decisions after a loss are one of the most common ways players undermine themselves. Anger after a bad roll tends to push people toward riskier plays to “make it back”, and a lucky streak can push the same way in the other direction. A simple habit helps: decide your plan before the dice are rolled, and judge it afterwards by the same standard whatever happened.
Chance in games is not an enemy to defeat or a force to appease. It is a feature of the system, and the rational response is to understand its size, plan around it, and keep your choices consistent. None of this removes the uncertainty, and where money is involved, no handling of randomness can guarantee a result.