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<math>P \approx 1 - \left ( \dfrac{1}{2.718} \right ) ^ {\left ( \dfrac{n}{k} \right )}</math> | <math>P \approx 1 - \left ( \dfrac{1}{2.718} \right ) ^ {\left ( \dfrac{n}{k} \right )}</math> | ||
For example, for the {{ItemIcon|Chapeau Noir}} there is a 1 in 20,000 (k) chance of this item dropping, and 100 attempts gives a probability of: | For example, for the {{ItemIcon|Chapeau Noir}} there is a 1 in 20,000 (k) chance of this item dropping, and 100 attempts gives a probability of: | ||
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<math>n = \left \lceil \dfrac {ln(1 - P)} {\ln \left (\dfrac{(k - 1)}{k} \right )} \right \rceil</math> | <math>n = \left \lceil \dfrac {ln(1 - P)} {\ln \left (\dfrac{(k - 1)}{k} \right )} \right \rceil</math> | ||
For those unfamiliar with math notation, the outer brackets just mean take the largest whole number. | |||
If the drop-rate is low which ''is'' typical for rare drops then you can approximate this as: | If the drop-rate is low which ''is'' typical for rare drops then you can approximate this as: |
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