Disposition Effect
Selling winners too early and holding losers too long.
"Realize gains; defer the pain."
What is Disposition Effect? Selling winners too early and holding losers too long. Project portfolios suffer the same pattern as stock portfolios.
Investors who lock in 10% gains and ride 50% losses to zero.
Project portfolios suffer the same pattern as stock portfolios.
Apply equal-rigor stop-loss discipline to winners and losers.
Use the model. Pick the move.
Selling winners too early and holding losers too long. You've just seen this: Investors who lock in 10% gains and ride 50% losses to zero. Which lever does the model recommend?
Pick a lever. There are no neutral ones — every incentive funds a behavior somewhere.
Pick a reaction to Disposition Effect
One tap. We'll point you at the most useful next surface based on how this hits.
The full taxonomy entry
Every concept in the Atlas uses the same structure — so Disposition Effect can be compared, recombined, and cited like an element on a periodic table.
- Business
- Leadership
- Government
- Healthcare
- Education
- Sales
- Marketing
- AI
- Negotiation
- Media
- Public Policy
- Relationships
- Where in our org would Disposition Effect most often show up unnoticed?
- Which metric, ritual, or contract clause quietly rewards Disposition Effect?
- If we removed every payoff for Disposition Effect, what behavior would replace it?
- Who benefits when Disposition Effect persists — and who pays the cost?
- People defend the status quo using the language of disposition effect.
- Decisions cluster around the easiest narrative rather than the strongest evidence.
- New data changes the slide deck but not the decision.
- Anyone naming the pattern is treated as the problem.
Every Atlas entry is a node in a knowledge graph. See the related rail below to follow the connections.
See Disposition Effect through 2 lenses
Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.
Do you actually know Disposition Effect?
Three quick questions. Result is saved into your review streak — come back when the term is due to lock it in.
Which best describes Disposition Effect?
Worked example, counter-example & concept map
On-demand AI analysis grounded in the Lab's research. Cached on your device after first run.
When you encounter Disposition Effect, your prefrontal cortex has to do extra work to override the automatic response — and that override budget is finite.
Executive control, planning, impulse override, working memory, System 2. First thing to go offline under stress, fatigue, or low blood sugar. Why your 4pm decisions are worse than your 9am ones.
See Prefrontal in the Brain Atlas →Picked for you, from the Atlas
Ranked by shared learning paths, overlapping chips, and what you've saved.
How will I feel about this in 10 minutes / 10 months / 10 years?
Inattention or forgetfulness caused by low attention, hyperfocus, or distraction.
Predicting how we will feel in the future, usually inaccurately.
Forgetting to compare an offer with the next-best alternative.
Outcomes that could have happened but did not.
Overthinking a situation so that decision-making stalls.
Send the card, not just the link
A pre-rendered social card with the title, eyebrow, and URL. Copy the link, post it anywhere, or download the SVG for slides.
More definitions to follow
Every term in the Atlas connects to a dozen others. Pick any of these and see where it takes you.
Outsourcing thinking to tools shifts what we remember and learn.
Decision quality degrades over the course of a day.
Using a word with two meanings as if it meant one.
Research outcomes tend to favor the interests of the funders.
Behavior bends toward whatever the system actually rewards.
Hospital group-purchasing and opaque contracting inflate device costs far above marginal cost.
Work expands to fill the time available for it.
Assume the opposite of what you want to prove. Derive a contradiction. The opposite must be false.
Preferences that depend on others' outcomes — fairness, reciprocity, altruism, inequity aversion.
Coaches paid on titles take more risk; coaches paid on attendance take less.
Inventory of models, data, tools, and dependencies in an AI system.
Novices experiencing early success, often due to variance and small samples.