Cognitive biases & decision-making · law 071
Availability Heuristic
By Shivam Bhandari · Reviewed 31 October 2026 · How we write
what it means
People judge how likely something is by how easily examples come to mind, not by actual frequency.
How Availability Heuristic works
Vivid, recent, or emotional events feel more common than they are. One angry customer review sticks in memory more than a hundred quiet happy customers.
Business decisions based on memorable anecdotes rather than data often over-react to rare events and ignore steady trends.
where it comes from
Described by Amos Tversky and Daniel Kahneman in 1973 as one of the mental shortcuts people use to judge probability.
Availability Heuristic examples in business
Customer feedback
A founder redesigns a product after one loud complaint, though data shows most customers are satisfied.
Risk
After hearing about a supplier fraud, a company over-invests in checks for that one risk while ignoring bigger ones.
Hiring
A manager avoids hiring from a city because one bad hire came from there.
How to apply it
- 1When a vivid example drives a decision, check the data.
- 2Track key metrics so you can see actual frequencies.
- 3Separate memorable anecdotes from representative patterns.
- 4Ask: is this common, or just memorable?
common misreading
Anecdotes can reveal real problems — they just need checking against the full picture.
ask yourself
Which recent dramatic event is driving a decision that the data might not support?
Frequently asked questions
What is Availability Heuristic?
People judge how likely something is by how easily examples come to mind, not by actual frequency. Vivid, recent, or emotional events feel more common than they are. One angry customer review sticks in memory more than a hundred quiet happy customers.
Who came up with Availability Heuristic?
Described by Amos Tversky and Daniel Kahneman in 1973 as one of the mental shortcuts people use to judge probability.
How do you apply Availability Heuristic in business?
1. When a vivid example drives a decision, check the data. 2. Track key metrics so you can see actual frequencies. 3. Separate memorable anecdotes from representative patterns. 4. Ask: is this common, or just memorable?
What is a common misunderstanding of Availability Heuristic?
Anecdotes can reveal real problems — they just need checking against the full picture.