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Framework · Behavioral science · Actionable Gamification

Prospect theory and loss aversion

People judge outcomes as gains or losses against a reference point, and losses weigh about twice as much as equal gains on average, with wide variation. Useful for pricing, anchors, guarantees and honest loss framing. The choice patterns replicate well (A); the size of loss aversion varies (B); "two systems" is a metaphor.

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Plain label: reference points and loss framingAlso known as: Kahneman, loss aversion, framing, System 1 and System 2

Core idea. Outcomes are coded relative to a reference point. People are risk-averse for gains, risk-seeking for losses, and treat certainty as special. F03

Evidence. A 19-country re-run of the original choice items replicated about 94% of them Evidence grade A. Robust evidence: replicated, peer-reviewed research.. A 2024 meta-analysis of 607 estimates put the average loss-aversion coefficient near 1.96, varying with design and stakes Evidence grade B. Moderate evidence: solid studies with some limits.. Treat System 1 and System 2 as a communication metaphor, not brain architecture Evidence grade C. Limited evidence: few or small studies.. The behavioral-priming studies once paired with this work failed to replicate Evidence grade X. Contested: the evidence conflicts or failed to replicate..

How it plugs in. Anchor on value before price; show what the user already has; offer guarantees, free cancellation and no-card trials to remove perceived risk (they also cut switching anxiety). Honest loss framing can beat gain framing when it is true; used everywhere, it becomes the urgency-led profile that spikes and then fades.

Watch-outs. Say "on average about twice", never "always 2x". No priming claims.

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Sources

Source IDs: F03CD8

Book content is paraphrased, never quoted at length. Last verified October 24, 2026.

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