- Home
- Guides and articles
- One or more is not certainty: the sum, worked in pounds
Facts checked Article
Probability notebook
One or more is not certainty: the sum, worked in pounds
Over ten independent trials at a fixed 10% chance, the chance of one or more occurrences is 65.13%. Here is the sum, the assumption it rests on, and where it breaks.
In this article
Is one or more the same as certain?Step 1 — write down the inputsStep 2 — put the £10 through the formulaStep 3 — read the answer beside the other answerIs the next trial due?What the standards require of an online gameWhere a compensated machine breaks the assumptionWork out one or more for your own numbersWhat the spread looks like over ten £10 betsWhat this sum does not tell youSources checked 22 September 2026Is one or more the same as certain?
One or more is not certainty. Take an event with a fixed 10% chance on each of ten independent trials, and the chance of one or more occurrences is 65.13%, while the chance of none is 34.87%.
That is arithmetic rather than a forecast, and it holds only while each trial is independent and the chance stays the same. Change either assumption and the sum changes with it.
The other half of the answer matters more at the table, because a run of losses does not make the next trial more likely to land. The Gambling Commission says so in its own player guide, and the sentence is quoted below.
Everything here is worked with £10 stakes, so you can see the money next to the maths. We ran no game, and we measured no operator.
Sources: NIST: binomial distribution; Gambling Commission: return to player; Gambling Commission: RTS 7.
What the board says before we start
- The sum in one line
- The chance of one or more occurrences over n independent trials is 1 − (1 − p)^n. NIST gives the underlying binomial probability of exactly x occurrences as C(n,x) × p^x × (1 − p)^(n − x).NIST: binomial distribution · as checked on
- The assumption it rests on
- NIST states that ‘the binomial distribution assumes that p is fixed for all trials’. Our working adds the second assumption, that each trial is independent.NIST: binomial distribution · as checked on
- Whether a losing run changes the next trial
- The Gambling Commission states: ‘The odds of achieving a win in the current game remain constant and are not affected by wins or losses in previous games.’Gambling Commission: return to player · as checked on
- What a remote game may not do
- RTS 7 states that ‘adaptive behaviour (that is, a compensated game) is not permitted’, and that outcomes ‘should be unpredictable’.Gambling Commission: RTS 7 · as checked on
- Where the assumption does break
- The Commission’s guide records that ‘compensated machines are also random, but they vary the chance of winning a prize depending upon results from previous games played’.Gambling Commission: return to player · as checked on
The arithmetic is ours, worked from the formula on the NIST page. The regulator lines are quoted from the pages we opened on 22 September 2026.
Step 1 — write down the inputs
Three numbers go on the board before we can work out one or more. The first is the chance on each trial, written p, and the second is the number of trials, written n.
Then come the assumptions, said out loud. Each trial is independent, so nothing carries over from the last one, and the chance p is the same every time.
NIST’s handbook states the second one plainly: ‘The binomial distribution assumes that p is fixed for all trials.’ It gives the chance of exactly x occurrences as C(n,x) × p^x × (1 − p)^(n − x).
For this class, p is 10% and n is 10, while the stake is £10 a trial, so ten trials put £100 through the game. Those are inputs rather than predictions.
Sources: NIST: binomial distribution.
Step 2 — put the £10 through the formula
The formula has two steps. First, find the chance that nothing happens, which is (1 − p) on one trial and (1 − p)^n over n trials, and then subtract that result from one.
In words: the chance of one or more occurrences is one minus the chance of none. That is the whole of it.
Now put the numbers in, remembering that (1 − 0.10) is 0.90 and that 0.90^10 is 0.3487 to four places. One minus 0.3487 leaves 0.6513, which is 65.13%.
Try it with £10. Ten £10 stakes are £100 staked, and the sum above says nothing about what comes back. It answers one question only: did the event happen at least once?
Sources: NIST: binomial distribution.
Chance of one or more occurrences
Enter the chance on each trial, the number of trials and the stake. The outputs are the chance of one or more occurrences, the expected count and the total staked.
Worked example: with chance on each trial 10%, number of trials 10, stake per trial £10.00, chance of one or more occurrences is 65.13% and expected count of occurrences is 1.00 and total staked is £100.00. Ten trials at 10% with a £10 stake: a 65.13% chance of one or more occurrences, an expected count of one, and £100 staked.
Formula and figures: NIST: binomial distribution
Arithmetic from this page, using the binomial formula on the NIST handbook page. It models no real game, and the only money figure is the amount staked.
Step 3 — read the answer beside the other answer
65.13% is not 100%, and it is not a promise about the order of results. It is the share of runs, over very many runs of ten trials, in which the event turns up one or more times.
A different sum answers a different question, because ten trials at 10% give an expected count of one occurrence, since 10 × 0.10 = 1. NIST gives that mean as np.
The two numbers travel together and are often confused, but an expected count of one does not make a single occurrence certain. The chance of none, 34.87%, is the part that gets forgotten.
Lengthen the run and the chance of one or more climbs without ever reaching certainty. At 20 trials it is 87.84%, with an expected count of two. At 50 trials it is 99.48%, and the expected count is five.
The chance of none falls in step: 34.87% at ten trials, 12.16% at 20 and 0.52% at 50. It becomes small, but it never becomes zero.
Sources: NIST: binomial distribution.
Ten, 20 and 50 trials at a fixed 10%
| Trials | Chance of one or more | Chance of none | Expected count | Evidence |
|---|---|---|---|---|
| Ten | 65.13% | 34.87% | 1 | · NIST: binomial distribution |
| 20 | 87.84% | 12.16% | 2 | · NIST: binomial distribution |
| 50 | 99.48% | 0.52% | 5 | · NIST: binomial distribution |
Is the next trial due?
No, it is not. The chance on the next trial is p, exactly as it was on the first.
The Commission’s player guide, read on 22 September 2026, puts it in one sentence: ‘The odds of achieving a win in the current game remain constant and are not affected by wins or losses in previous games.’
A losing run is evidence about the past rather than a lever on the future. The sum in Step 2 already allows for long empty stretches, which is why the chance of none stays above zero.
So the rule for the board is short. Count what has happened if you like, but never let the count change the number you put in for p.
Sources: Gambling Commission: return to player.
The sentence on the next trial
The odds of achieving a win in the current game remain constant and are not affected by wins or losses in previous games.
What the standards require of an online game
Online games licensed in Great Britain are held to the Commission’s remote technical standards. RTS 7 aims ‘to ensure that games and other virtual events operate fairly’, and it sets out what random has to mean.
Two of its requirements matter to this sum. The output of the generator and the game outcomes ‘should be unpredictable’, and ‘adaptive behaviour (that is, a compensated game) is not permitted’.
That is the independence assumption, written as a rule. If a remote game may not adapt to earlier results, then earlier results do not change p.
RTS 7 also bars presentation that misleads. Game designs ‘that may reasonably be expected to mislead the customer about the likelihood of particular results occurring are not permitted’, including ‘substituting losing events with near-miss losing events’.
Sources: Gambling Commission: RTS 7.
Where a compensated machine breaks the assumption
Not every machine in Great Britain works that way, because the Commission’s return to player guide describes a second kind of machine.
On a compensated machine, p is not fixed, so the one or more sum in Step 2 does not apply as written. The guide puts it this way: ‘Compensated machines are also random, but they vary the chance of winning a prize depending upon results from previous games played.’
Return to player, or RTP, is the share of the money staked that comes back as prizes over a very long run. The guide states that it ‘is an average achieved over a significant number of game plays and not each time the gaming machine is played’.
It also gives the scale of that run, since average RTP ‘is generally measured over 10,000 or 100,000 games for compensated machines and more games than this for random machines’. An evening is nowhere near that long.
Sources: Gambling Commission: return to player.
Four words used on this page
- Independent trial
- A trial whose result does not change the chance attached to any other trial.
- Complement
- The chance that something does not happen, which is one minus the chance that it does.
- Compensated machine
- A machine that varies the chance of a prize according to results from previous games, as described in the Commission’s return to player guide.
- Return to player
- The share of the money staked that is returned as prizes, averaged over a very large number of game plays.
Work out one or more for your own numbers
The calculator above runs the same two lines of arithmetic, and you can do it on paper in under a minute. Here is the order for working out one or more yourself, and what the answer means when you have it.
One warning comes first. The result is only as good as the two assumptions behind it, so write them down before you write the answer.
If you cannot state p from a published rule set, the honest output is ‘unknown’, not an estimate dressed up as a number. We leave those blank rather than fill them.
Sources: NIST: binomial distribution.
How to use the calculator, step by step
If either assumption fails, the number does not apply and the honest answer is that we do not know.
Write down p
Take the chance on a single trial from a published rule set, and write it as a decimal. If no rule set states it, stop here, because the answer would be a guess.
Write down n
Count the trials you actually mean, and no more. Ten spins is a different question from a whole evening.
Find the chance of none
Work out (1 − p), then raise it to the power n. With p = 0.10 and n = 10 that is 0.90^10, which is 0.3487 to four places.
Subtract from one
One minus 0.3487 is 0.6513. Written as a percentage, the chance of one or more occurrences is 65.13%.
Read what the result means
It is the share of ten-trial runs in which the event lands once or more. It is not a forecast of your run, and it says nothing about money coming back.
Write the two assumptions beside the answer so the next reader can check them.
What the spread looks like over ten £10 bets
Variance is how far a single run sits from the average, and it is wider than most people expect. The 65.13% covers every run in which the event lands once or more, from one occurrence to ten.
Ten £10 stakes are £100 through the game. The average hides both ends: the run with no occurrence at all, which is 34.87% of runs, and the run with several.
Nothing here says what comes back, because a chance of one or more is not a return, and this page does not model money returned.
The spread is the part that hurts, and it is the part the average hides. If a session has gone further than you meant it to, GamCare’s helpline is 0808 8020 133.
Sources: NIST: binomial distribution.
Before you trust a number like 65.13%
Ticks are kept only in this browser and are never sent anywhere.
What this sum does not tell you
Independence and a constant p are requirements, not decorative small print. A game with changing conditions needs a different model, and the compensated machine above is one example.
The one or more sum says nothing about money, because it is not an expected value and it is not the operator’s share of each £1 staked. Those are different sums on different pages.
It also says nothing about a particular evening. Understanding the maths makes a game clearer, but it does not make it safer.
Next step: put your own p and n into the calculator above, then write the two assumptions beside the answer. Was this useful, or did we get something wrong? Tell us and we will correct it.
Sources: Gambling Commission: return to player.
Sources checked 22 September 2026
Three pages were opened on 22 September 2026, and each one is listed below with what it supports. The arithmetic is our own, worked from the binomial formula on the NIST page.
We did not test a game, time a session or inspect an operator, and where a figure is ours rather than a source’s, the table caption and the key facts say so.
Percentages are rounded to two decimal places, and the underlying values are 0.651322, 0.878423 and 0.994846.
Sources: NIST: binomial distribution; Gambling Commission: return to player; Gambling Commission: RTS 7.
Pages read
Each page was opened on 22 September 2026. Re-check dates are set two months out.
| Source | Publisher | Read on | Re-check due | Note |
|---|---|---|---|---|
| NIST: binomial distribution | NIST/SEMATECH e-Handbook of Statistical Methods | The binomial formula, the fixed-p assumption and the mean np. | ||
| Gambling Commission: return to player | Gambling Commission | Odds unaffected by previous games; compensated machines; RTP as an average over 10,000 or 100,000 games. | ||
| Gambling Commission: RTS 7 | Gambling Commission | Unpredictable outcomes, the ban on adaptive behaviour, and the ban on misleading near-miss design. |
Questions answered
Does one or more ever mean certain?
No. Over ten independent trials at a fixed 10% chance, the chance of one or more occurrences is 65.13% and the chance of none is 34.87%. The chance rises with more trials, reaching 87.84% at 20 and 99.48% at 50, but it never reaches 100%.
How is the chance of one or more worked out?
Find the chance that nothing happens on a single trial, which is 1 − p, raise it to the power of the number of trials, then subtract the result from one. With p = 0.10 and ten trials, 0.90^10 is 0.3487 and one minus that is 0.6513, or 65.13%.
Is a game due after a losing run?
No. The Gambling Commission states that ‘the odds of achieving a win in the current game remain constant and are not affected by wins or losses in previous games’, on the page we read on 22 September 2026.
What is the difference between 65.13% and an expected count of one?
They answer different questions. The 65.13% is the share of ten-trial runs containing one or more occurrences. The expected count of one is the average number of occurrences, which is 10 × 0.10, and NIST gives that mean as np.
When does this sum stop applying?
When the trials are not independent, or when the chance changes between them. The Commission's guide describes compensated machines, which ‘vary the chance of winning a prize depending upon results from previous games played’, so p is not fixed on those.
Does the sum say anything about money?
No. It gives no return and no expected value. Ten £10 stakes are £100 staked, and the amount staked is the only money figure the calculator shows.




