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
  • No signup
Go to tool

Calculator inputs

Loading calculator…

How to use this calculator

  1. Enter the known values in the units shown. Results update as you type.
  2. Where results are editable, change one to solve backwards. Lock a value to hold it fixed.
  3. 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.

Explore expected values or browse all statistics calculators.