Y11W16WR Why losing hurts twice as much as winning feels good
Take a decision you’re currently facing where loss aversion may be shaping your reasoning, and work through it with and without the bias — explaining what changes.
1Retrieval check
Q1.What does Kahneman and Tversky’s prospect theory suggest about losing $100?
- AIt hurts about the same as gaining $100 feels good
- BIt hurts roughly twice as much as gaining $100 feels good
- CIt produces no measurable emotional response
- DIt is always worth accepting
Q2.What is the article’s counter-thread about loss aversion?
- ALoss aversion has been completely disproven
- BRecent replication has found the coefficient varies across contexts and is smaller than the classic 2x in many settings, though the asymmetry itself is robust
- CThe effect applies only to financial decisions
- DHumans feel gains and losses identically
Show answer key
Q1 → B. It hurts roughly twice as much as gaining $100 feels good.This asymmetry explains holding losing stocks too long, refusing fair gambles, status-quo bias, and the endowment effect.
Q2 → B. Recent replication has found the coefficient varies across contexts and is smaller than the classic 2x in many settings, though the asymmetry itself is robust.The specific 2x coefficient varies by context; the broad asymmetry holds up, but the magnitude is not universal.
2Prompt deconstruction
- Command verb
- WORK THROUGH — run the decision twice, with and without the bias
- You pick
- one real decision you are currently facing (or just made)
- Goal
- notice what specifically changes when loss is reframed as equivalent gain, or when the frame is flipped
- Must reference
- Kahneman and Tversky’s prospect theory AND the article’s note that the 2x coefficient varies
3Position nudge
Where on the range does your proposal sit?
Pole ADecision barely changes
Pole BDecision flips completely when frame flips
Commit to a specific point; defend it in your planner.
4Planner — design the thing, then the trade-offs
5Sentence stems
- My proposal is ___.
- I am grounding this in [researcher]’s finding that ___.
- The main trade-off is ___: this design gains ___ but loses ___.
- The most predictable objection is ___, and my response is ___.
- I would know it was working after [time] if ___.
- What I am most likely to abandon is ___, so I will build in ___ to prevent that.
6Exemplar paragraph (not about this article)
(1) The decision: whether to drop Chemistry next term. (2) With loss aversion active, dropping it feels like losing two years of work and a career path I’d been imagining; keeping it feels ‘safe’. (3) Flipped: dropping it is a gain of six hours a week to put into English, where my marks are already stronger. (4) The decision changes noticeably — the ‘safe’ option was only safe against a loss I had inflated. Kahneman and Tversky’s 2x asymmetry seems relevant, though the article’s caveat matters: the coefficient is larger when losses are concrete (already-sunk effort) than when gains are abstract. (5) My decision: drop it, because the frame was doing most of the work against dropping.
What this paragraph does, move by move
- States the decision clearly.
- Runs it with loss-aversion active.
- Runs it with the frame flipped.
- Names what specifically changed.
- Lands a decision with the frame acknowledged.
- Choosing a selection results in a full page refresh.
- Opens in a new window.