Framing Effect
Being influenced by how information is presented
What is it?
The framing effect is the finding that logically equivalent information can lead to different decisions depending on how it is presented. This violates the economic assumption that rational agents respond to substance, not presentation. In Tversky and Kahneman's well-known "Asian disease problem," people tended to choose the safe option when outcomes were framed as lives saved but the risky option when the same outcomes were framed as lives lost. Framing works through several levers: positive vs. negative emphasis, absolute vs. relative numbers, narrow vs. broad context, and order of presentation. Marketers, politicians, and negotiators use framing routinely: "95% fat-free" versus "5% fat," "save $10" versus "avoid losing $10," "3 out of 4 dentists recommend" versus "1 in 4 dentists don't recommend." Medical decisions are susceptible too: in studies, people chose treatments differently depending on whether outcomes were presented as survival rates or mortality rates. Defending against framing means reframing information in several ways, asking "how would my decision change if this were presented differently?", and focusing on absolute numbers and final states rather than relative changes or selective statistics.
Example
"90% success rate" sounds better than "10% failure rate." "Save $50" is more attractive than "Spend $200 instead of $250." "1 in 1000 risk" feels different than "0.1% chance."
References
Tversky, A., & Kahneman, D. (1981). The Framing of Decisions and the Psychology of Choice. Science, 211(4481), 453-458.
Kahneman, D., & Tversky, A. (1984). Choices, Values, and Frames. American Psychologist, 39(4), 341-350.
Levin, I. P., Schneider, S. L., & Gaeth, G. J. (1998). All Frames Are Not Created Equal: A Typology and Critical Analysis of Framing Effects. Organizational Behavior and Human Decision Processes, 76(2), 149-188.
How to Prevent It
Doxa uses AI and can make mistakes. How it's built
How would I view this if it were framed differently?
What are the actual facts, independent of presentation?
Is this framed as a gain or loss, and does it matter?
Who framed this information and what are their incentives?
What's being left out of this presentation?
Reframe the information in multiple ways before deciding.
Focus on absolute numbers, not just percentages.
Ask for both figures: how many succeed and how many fail.
Strip away emotional language and focus on raw data.
Present options yourself using neutral framing.