The probability desk
Count the possibilities.
Understand the chance.
Work from possible outcomes, calculate an exact ordered sequence, and compare a theoretical probability with a local sample.
Ask a precise question.
Calculations describe this educational model, not an external game. Browser-generated trial results are local synthetic data, not live results or predictions.
Enable JavaScript to calculate. A fixed example: P(7) = 1/10 = 10%. The worked explanations below remain available without JavaScript.
An exact ordered sequence
Specify the next block of draws, in order. This is not the probability of a streak anywhere in a longer session.
Compare with a random sample
Uses the event currently selected above. The result names that event so changing the selection later does not relabel old data.
What the model assumes
There are ten equally likely digits, 0 through 9, and draws are independent. These assumptions describe this educational model. They do not establish the probabilities or fairness of an external service.
One draw or several draws?
For one draw, count distinct digits that satisfy the question. For a specified sequence across independent draws, multiply each position’s probability. Big, Big, Small has probability 1/2 × 1/2 × 1/2 = 1/8, or 12.5%.
The sequence answer applies to that next block in that order. It is not the probability of finding the pattern somewhere in a longer history. Learn more in the streaks and randomness guide.
Why color groups need care
Red and Violet overlap at 0. “Red or Violet” contains six distinct digits: 0, 2, 4, 5, 6, and 8. Its probability is 60%, rather than 70%. Big and Red contains only 6 and 8, so its probability is 20%, not the 25% obtained by incorrectly assuming independence within a single draw.
See the classification table and the OpenStax probability rules.
Read the comparison
Observed frequency is the number of matching draws divided by the sample size. Expected count is sample size × theoretical probability and can be fractional. The gap is shown in percentage points. A large sample can still differ from the theoretical value; none of these results predicts the next draw.
Calculations work without a random source. Sampling needs the browser random-value API. No sample is sent to an external service.