Decisions and Strategy

The Art of Probability: How to Make Informed Decisions in Games

How to weigh what you know against what you cannot know before committing to a move: sort information, size up uncertainty, and update as the game reveals more.

On this page
  1. Decisions are made with incomplete information
  2. Three kinds of information
  3. Weigh the evidence, not the feeling
  4. Compare options on chance and payoff
  5. Beware common distortions
  6. A practical routine for the moment of choice
  7. When the odds are close
  8. After the move

Decisions are made with incomplete information

Almost every interesting game decision happens before you know everything. A card is face down, a die has not been rolled, an opponent has not yet shown their plan. An informed decision does not wait for certainty, since that would mean never moving. Instead it makes good use of what is available and is honest about what is not.

The skill is mostly one of sorting. Before committing to a move, it helps to separate what you know, what you can estimate, and what you simply cannot see.

Three kinds of information

Certain facts. The rules, the current board, the cards in your hand, your score. These need no probability. Mistakes here are usually misreadings, so slow down enough to be sure of the facts before reasoning about the rest.

Known odds. Things that are random but whose chances you can work out or look up. A fair six-sided die gives each face 1 chance in 6. If a deck has 52 cards and you hold none of the four aces, then the chance the next unseen card is an ace is 4 in 52, about 7.7%, until more cards are revealed. This is where the ideas under probability basics earn their keep.

Genuine unknowns. Things you cannot calculate directly, such as what an opponent is planning. Here you rely on evidence and judgement rather than exact numbers: their past behaviour, the situation they are in, and what they would likely do if they were in your position. Reading hidden intentions is covered under opponent reading, and reading what the board itself is telling you is the subject of game state.

Confusion between these categories causes many errors. People treat unknowns as if they were known odds (false precision), or treat known odds as if they were unknowns (needless guessing).

Weigh the evidence, not the feeling

When estimating an uncertain thing, it helps to ask three questions:

  1. What is the baseline? Before looking at specifics, how often does this kind of thing happen generally? A baseline protects you from being carried away by a vivid detail.
  2. What does the new evidence change? A single clue should shift your estimate, not replace it.
  3. How confident am I? Give yourself a range rather than a single figure when the evidence is thin.

An example with hidden cards. You need one specific card to complete a plan, and there are 3 copies among the 30 unseen cards. The baseline chance that the next card is one of them is 3 in 30, or 10%. If you then see two other cards drawn by an opponent and neither is a copy, 3 copies remain among 28 unseen cards, so the chance rises to about 10.7% (3/28). Notice how small the shift is. Evidence often nudges the estimate rather than overturning it.

Compare options on chance and payoff

Once you have an estimate, put it next to the stakes. What is the benefit if it works, the cost if it does not, and can you recover from the bad case? The tools for this are expected value and a look at the downside, and they are developed in risk assessment.

A point that surprises many people: you often should not wait for more information. Waiting has a cost too, whether that is time, tempo, or an opportunity that vanishes. The informed choice is sometimes to act on a decent estimate now rather than a perfect one later. The reverse also holds: if the next piece of information is cheap to obtain and could change your choice, getting it first is usually wise.

Beware common distortions

Some habits corrupt even well-informed players.

  • Gambler’s fallacy. Believing that a long run without a result makes it more likely on the next try. With independent events like dice and coin flips, the past does not change the chances.
  • Overweighting memorable events. A single dramatic loss or win sticks in memory and skews your sense of how often it happens. Notes beat recollection.
  • Anchoring. Clinging to your first estimate even when evidence suggests otherwise.
  • Outcome bias. Judging a decision by its result rather than by the information available when it was made. A sound choice can lose, and a poor one can win.
  • Letting mood steer. Frustration or excitement tilts estimates toward the extremes. The effects are discussed in more detail under emotional decisions.

A practical routine for the moment of choice

When a decision matters, try this short sequence:

  1. State the choice in one sentence.
  2. List what is certain, what has known odds and what is unknown.
  3. Estimate the key chance, with a rough range if unsure.
  4. Compare the payoffs for each option, including the worst realistic case.
  5. Choose, and note what would change your mind.

With practice this takes seconds. It does not guarantee a good result; it just makes your decision a reasoned one, which is the only part you control.

When the odds are close

Sometimes the options are nearly equal, and the extra analysis will not separate them. In that case, do not agonise. A near tie means that either choice costs you very little on average, so picking and moving on is itself the efficient decision. Save your thinking time for situations where the gap between options is large.

After the move

Informed decision-making continues after you act. Watch what happens, compare it with what you expected, and update your picture. If a result is a surprise, ask whether it was merely an unlikely event or a sign your estimate was off. One surprise rarely settles the question, but several in the same direction do.

Done consistently, this builds a more accurate sense of the game, so that your estimates improve with experience. You will still be wrong at times, because uncertainty cannot be removed. The aim is to be wrong for good reasons and to learn from it, which is what separates informed play from guessing.

The complete guide to decisions and strategy

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