For example a x% that something will happen and a y% that something will happen what is the z% that it will happen(at least once) over both instances
2026-04-01 19:20:39.1775071239
How do you combine different percents over different instances to find a total percent that something will happen over both instances?
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1
The answer depends on whether your two "somethings" are independent or not. I will give two examples.
Example 1 (Dependence) Let's say that Alice has two chances to draw an ace from a deck of $10$ cards that contains $3$ aces.
According to the laws of probability, the chance that Alice does draw an ace is equal to $100\%$ minus the chance that she does not. So we have $P(\text{at least one ace})=1-P(\text{no ace})$. The probability that Alice draws no ace is given by $$P(\text{no ace})=P(\text{no ace in first attempt})\times P(\text{no ace in second attempt})=0.7\times 0.66666=0.42=42\%$$ so it follows that $$P(\text{at least one ace})=1-0.42=0.58=58\%$$
Example 2 (Independence) Let's say Alice has two chances to roll a $6$ on a six-sided die.
Here we use the same trick. The chance that Alice does not roll a 6 across both roles is $$P(\text{no six in both attempts})=P(\text{no six in first attempt})\times P(\text{no six in second attempt})=\frac{5}{6}\times \frac{5}{6}=\left(\frac{5}{6}\right)^2=0.6944=69.44\%$$ So the probability that Alice rolls at least one six is $$1-P(\text{no six in both attempts})=1-0.6944=0.3056=30.56\%$$
Summary If there is an $x$ chance that event $e_1$ will happen and a $y$ chance that event $e_2$ will happen given that $e_1$ didn't happen, the probability that either will happen is given by $$P(e_1\cup e_2)=z=1-(1-x)\times(1-y)=x+y-x\times y$$