Free · Expected values
Probability-Weighted Loss Comparison
Compare the expected monetary loss of two events from each event’s probability and loss amount.
- Formula & worked example
- Private in your browser
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Calculator inputs
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How to use this calculator
- Enter the known values in the units shown. Results update as you type.
- Where results are editable, change one to solve backwards. Lock a value to hold it fixed.
- Use the worked example to check the method. Reset restores the starting fields.
Private by default
Inputs and results stay in this browser tab. Bookify does not upload or store the values you enter.
Formula and method
A 10% chance of losing 1,000 gives expected loss of 100. A 2% chance of losing 5,000 also gives 100, despite very different possible outcomes.
Expected loss = event probability × loss if the event occurs
Worked example
Enter these known values and leave the other values blank.
- Option A event probability
- 10 %
- Option A loss if event occurs
- 1000 USD
- Option B event probability
- 2 %
- Option B loss if event occurs
- 5000 USD
- Option A expected loss
- 100 USD
- Option B expected loss
- 100 USD
Assumptions and limitations
- Each option has the entered loss when its event occurs and zero loss otherwise. Other outcomes or costs require a fuller distribution.
- Probabilities are from 0% to 100% and monetary losses are nonnegative. Compare amounts in the same currency and scale.
- Expected loss is a probability-weighted average, not a forecast of the loss in one trial or a complete measure of risk.
- Currency selectors use fixed captured exchange rates and do not fetch current market rates.
Common questions
Does equal expected loss mean equal risk?
No. Rare large losses and frequent small losses can have the same expectation but different consequences.
Can I solve for the event probability?
Yes. Enter expected loss and a positive loss amount. The resulting probability must remain between zero and one.
References
Compare signed differences of expected losses so small differences are not erased by approximate equality.
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