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loss_aversion
Loss aversion is the psychological principle that losses loom larger than equivalent gains - typically about twice as large. A loss of $100 causes more psychological pain than a gain of $100 causes pleasure. This asymmetry profoundly influences decision-making, causing people to avoid risks even when the expected value is positive and to hold onto losing positions too long.
An employee rejects a new role with a 70% chance of a $20,000 raise and a 30% chance of a $10,000 pay cut, even though the expected value is strongly positive, because the potential loss feels disproportionately threatening.
A homeowner refuses to sell their house at current market value because it is slightly below what they originally paid, even though holding onto the property is costing them in maintenance, mortgage interest, and a job opportunity in another city — the paper loss feels unbearable even when the rational calculation favors selling.
A marketing team keeps running an underperforming advertising campaign rather than reallocating the budget, because cancelling it would mean 'losing' the money already committed to it this quarter — framing the reallocation as a loss rather than an opportunity to recover value.
Binary (yes/no) questions an LLM must answer to identify this aspect:
Is a potential loss or risk being evaluated?
Type: binaryIs the loss given disproportionately more weight than an equivalent gain?
Type: binaryDoes the asymmetric evaluation lead to a risk-averse or irrational decision?
Type: binaryLoss aversion is the psychological principle that losses loom larger than equivalent gains - typically about twice as large. A loss of $100 causes more psychological pain than a gain of $100 causes pleasure. This asymmetry profoundly influences decision-making, causing people to avoid risks even when the expected value is positive and to hold onto losing positions too long.
Evolutionary pressures favored organisms that prioritized avoiding losses (threats to survival) over pursuing gains (opportunities). This asymmetric sensitivity to losses vs. gains is encoded in neural circuits, with losses activating the amygdala more strongly than equivalent gains.
Reframe decisions in terms of final outcomes rather than gains and losses from a reference point. Consider what you would advise a friend in the same situation, as people are less loss-averse when advising others.
Loss aversion explains why people hold losing stocks too long (disposition effect), why insurance is overvalued, why free trial offers work (the loss of a service feels worse than never having it), and why reforms are difficult even when beneficial.
Use these tools to detect, analyze, or train this aspect.