What it is
Loss aversion is the empirically robust finding, originating in Kahneman and Tversky's prospect theory, that the psychological weight of a loss is roughly twice that of an equivalent gain. This asymmetry shapes choices even when the expected value calculation clearly favours taking the risk. In organisational settings, loss aversion is amplified because individuals often bear personal accountability for losses while gains are shared - making caution individually rational even when it is collectively costly.
Where it shows up
In technology investment decisions, loss aversion appears when a team refuses to move away from a current platform not because the platform is adequate, but because the risk of the migration going wrong feels more proximate than the benefit of a better system going right. The asymmetry means that a 30 per cent chance of a painful migration is weighted more heavily than a 70 per cent chance of meaningfully improved capability - a framing that produces under-investment relative to what a neutral expected-value assessment would recommend.
What Rubicon Probity does
When Rubicon Probity reviews a decision record at the Decide stage where risk language is asymmetric - losses are described in concrete terms while gains are described in vague or aspirational terms - it raises a CAUTION flag and requires the team to quantify both the downside and the upside with comparable specificity before the record is approved.
Detection questions
- Have you described the potential gains from this decision with the same concrete specificity you used to describe the potential losses?
- Are you evaluating this decision on expected value, or are you primarily optimising to avoid a bad outcome?
- If the same asymmetry in potential outcomes ran the other direction - a 70 per cent chance of loss and a 30 per cent chance of gain - would you still characterise this as a risk-averse situation?