Risk Formula
Risk is the possibility of loss or negative outcome, quantified by combining the probability of the event with the severity of its impact: Expected Loss =.
The Formula
When to use: What could go wrong, how likely is it, and how bad would it be?
Quick Example
Notation
What This Formula Means
Risk is the possibility of loss or negative outcome, quantified by combining the probability of the event with the severity of its impact: Expected Loss = P(loss) times amount of loss.
What could go wrong, how likely is it, and how bad would it be?
Formal View
Worked Examples
Example 1
mediumAnswer
First step
See the full worked solution + why-it-works coaching
SetupKey insightWhy it worksCommon pitfallConnection
Example 2
hardExample 3
mediumCommon Mistakes
- Ranking by probability alone — multiply by the loss amount so severity counts.
- Ranking by severity alone — a catastrophic but near-impossible event may carry little expected loss.
- Adding probability and loss instead of multiplying — Expected Loss is , a product.
Why This Formula Matters
Risk is why a small chance of a huge loss can outweigh a likely small one — it's the math behind insurance, safety, and everyday decisions. Looking only at probability (or only at severity) leads to consistently bad choices. Recognizing it by "Am I combining the probability of a loss with the size of that loss?" — rather than by familiar numbers — is what lets a student tell it apart from probability and expected value and severity / impact alone in a mixed problem set.
Frequently Asked Questions
What is the Risk formula?
Risk is the possibility of loss or negative outcome, quantified by combining the probability of the event with the severity of its impact: Expected Loss = P(loss) times amount of loss.
How do you use the Risk formula?
What could go wrong, how likely is it, and how bad would it be?
What do the symbols mean in the Risk formula?
or where is probability and is impact
Why is the Risk formula important in Math?
Risk is why a small chance of a huge loss can outweigh a likely small one — it's the math behind insurance, safety, and everyday decisions. Looking only at probability (or only at severity) leads to consistently bad choices. Recognizing it by "Am I combining the probability of a loss with the size of that loss?" — rather than by familiar numbers — is what lets a student tell it apart from probability and expected value and severity / impact alone in a mixed problem set.
What do students get wrong about Risk?
The procedure for risk is the easy part; the trap is ranking by probability alone. Asking "Am I combining the probability of a loss with the size of that loss?" first is what keeps a correct-looking calculation from being attached to the wrong concept.
What should I learn before the Risk formula?
Before studying the Risk formula, you should understand: probability.