The Framing Effect: Why “90% Survival” Beats “10% Mortality”
The same facts, described differently, lead people to different choices. Marketers, doctors, and politicians all use it.
By Iris Penhaligon | Oct 24, 2026 | 6 min
Imagine two descriptions of a surgery: one says 90% of patients survive; the other says 10% die. They describe the same outcome, yet in studies people are far more willing to choose the option framed as survival.
This is the framing effect, one of the best-documented findings in behavioural economics.
I Where it comes from
Psychologists Amos Tversky and Daniel Kahneman demonstrated framing effects in the early 1980s. In their “Asian disease” problem, people preferred a certain option when outcomes were framed as lives saved, but preferred a risky option when the same outcomes were framed as lives lost. This links closely to loss aversion: losses loom larger than equivalent gains.
II Framing in everyday life
- — Food labelled “80% lean” rather than “20% fat”
- — Discounts shown as “save £20” versus “20% off” depending on which sounds bigger
- — Late fees described as “early payment discounts”
- — Opt-out pension schemes framed as the default
III Why it matters for policy
Governments and health agencies think carefully about framing in public messages. Describing energy savings as money lost by not insulating, for example, can be more motivating than money saved. But framing can also be used to mislead, which is why consumer regulators often require standard disclosures such as APR on loans.
IV How to see through it
When you face a decision, try restating the information in the opposite frame. If “90% fat-free” feels very different from “10% fat”, the difference is in your reaction, not the product. Converting percentages into absolute numbers — “1 in 10 people” — also helps.
This is general educational information about economics, not financial, investment, or tax advice. Consult a qualified, licensed professional before making financial decisions.
Further reading
- 1. Present Bias: Why We Choose Now Over Later
- 2. The Anchoring Effect: Why the First Number Sticks
- 3. Herd Behaviour: Why Markets Boom and Bust