A little room to wonder
Probability & Chance
Build a complete set of outcomes, count an event and separate theoretical probability from a short run of results.
Are the possibilities you counted actually equally likely?

State the experiment and its outcomes
A sample space is the set of possible outcomes for a defined chance experiment. An event is a selection of those outcomes. When all elementary outcomes are equally likely, an event’s probability is its number of favourable outcomes divided by the total. The equal-likelihood condition is essential, not a decorative phrase.
Probabilities run from 0 to 1 in the model. A value of 1/2 does not mean outcomes must alternate. It describes the chance assigned to an event under the assumptions, rather than a promise about the next few observations.
Work through two fair independent coins
For two labelled fair coins tossed independently, the ordered outcomes are HH, HT, TH and TT. Each has probability 1/4. Exactly one head corresponds to HT and TH, so its probability is 2/4 = 1/2. At least one head includes HH as well, giving 3/4.
The totals zero, one and two heads are not equally likely merely because there are three totals. The middle total contains two elementary outcomes. Listing the underlying outcomes prevents that counting mistake.
Replacement changes a model
Imagine a fictional bag with four red and two blue counters mixed so each counter is equally likely to be selected. The first selection has probability 2/6 = 1/3 of blue. If a blue counter is removed and not returned, the next selection is from four red and one blue, making its conditional probability of blue 1/5.
If the first counter is returned and the bag remixed under the same assumptions, the composition returns to four red and two blue. State which procedure you mean before calculating. A changed procedure can invalidate an otherwise correct fraction.
A short run is not a verdict
A small set of observed outcomes may differ substantially from theoretical proportions. Four heads in a row does not make a fair independent coin owe a tail. If real observations raise a question about the model, investigate the setup and collect suitable evidence rather than inventing a balancing rule.
Only if you feel like trying
Count the underlying possibilities
- List HH, HT, TH and TT and mark exactly one head and at least one head.
- Explain why the three possible head totals do not each have probability 1/3.
- Compare the fictional bag’s second selection with and without replacement after a blue first selection.
Optional paper calculation. No coin tosses, gambling, purchases or collection of real participant results is required.
Look at the sources.
These references informed this introduction. You can check who published them, what evidence they use and whether you would ask another question.
- OpenStax, Rice UniversityProbability: Terminology
- NRICH, University of CambridgeWhat We Think and Why We Think It
Research checked 1 November 2026. External pages have their own content and privacy practices.
Where could this connect?
These are editorial links between subjects. You choose which, if any, to follow.
Mathematics
A probability calculation needs a defined model and justified counting.
Follow this connectionRules & Mechanics
Changing a game’s procedure changes which outcomes are possible or likely.
Follow this connectionStatistics & Data
Observed frequencies are data to compare with a theoretical probability, with sampling limits.
Follow this connection