think in odds.

Probability puzzles, one good question at a time.

Think in Odds is a free daily probability puzzle. Spend a few minutes making a prediction, check your answer, and work through the explanation. No account is required. New editions arrive at 8 p.m. Eastern.

How to solve a probability puzzle

  1. Define the experiment. What is random? Which outcomes can happen? Read the assumptions before you count.
  2. Check whether outcomes are equally likely. For a fair die, each face has probability 1/6. For a biased die, counting faces alone is not enough; add their probability weights.
  3. Keep only the outcomes consistent with the evidence. Conditional probability is P(A given B) = P(A and B) / P(B), when P(B) is positive. The denominator describes the world after learning B.
  4. Use independence only when it applies. Multiplying probabilities is appropriate for independent events. Otherwise, multiply by the conditional probability of each next step.
  5. Check the scale. A probability lies between 0 and 1. Expected values can exceed 1, and need not be possible individual outcomes.

A small example: two fair dice

Roll two independent fair six-sided dice. What is the probability that their sum is 7? There are 36 equally likely ordered outcomes. Six work: (1,6), (2,5), (3,4), (4,3), (5,2), and (6,1). The probability is 6/36 = 1/6.

The common trap is to count the possible sums from 2 to 12 as equally likely. They are not: a sum of 2 has just one ordered outcome, while a sum of 7 has six.

Start with a released puzzle

These puzzles cover counting, evidence, expectation, and the assumptions that make an answer meaningful. Hints are optional; solutions stay hidden until you choose to reveal them.

What happens after I answer?

Correct answers show a compact result. Reveal the worked solution to compare your reasoning with the explanation and its illustration. Your progress is saved in this browser. A shared challenge links to the puzzle without exposing the answer.

Can I use this for interview practice?

These puzzles build habits useful in quantitative interviews: stating assumptions, distinguishing independent from dependent events, and explaining why a calculation fits the problem. They are practice for intuition, not a complete interview syllabus or a score predicting interview performance.

Who makes Think in Odds?

David Z. Chen maintains Think in Odds. The first 30 daily editions are curated; later editions revisit mathematical families with spaced numerical practice. If a question seems ambiguous or an explanation looks wrong, send feedback.

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