Psychology and biases
The sunk cost fallacy
Money, time or effort already spent cannot be recovered, so it should not count in what you do next; people count it anyway.
Hal Arkes and Catherine Blumer, The Psychology of Sunk Cost (1985); the economic principle is older.
You paid for the ticket, the film is bad, and you stay to the end to get your money's worth. The project is a year in and plainly not working, and you argue for one more quarter because of everything already invested. From inside it feels like loyalty or persistence; the tell is that the argument is about the past. Arkes and Blumer defined the sunk cost effect as a greater tendency to continue an endeavour once an investment of money, effort or time has been made. Economically the past spending is gone whatever you do, so only future costs and benefits should matter. The ticket you paid for and the ticket you were given should lead to the same decision about driving through the snowstorm.
Arkes and Blumer's explanation is that people do not want to appear wasteful, to themselves as much as to others, and that stopping would mark the earlier spending as a loss. That ties it to loss aversion: quitting turns a paper loss into a realised one. The effect shows up wherever the past is visible and the future uncertain. Governments finish roads they would not start today; companies keep products alive to avoid writing off the development; engineers keep the system they built rather than adopt the one they would choose fresh. Arkes and Blumer tested it in the field by selling the same theatre season at three random prices and counting who turned up.
How large the effect is outside a questionnaire is contested. Friedman and colleagues built a laboratory game in 2007 designed to produce the effect and varied eleven features of it; they report a surprisingly small sunk cost effect that was largely insensitive to their manipulations. The Many Labs project in 2014 replicated a scenario version across 36 samples and found an effect, but a small one, with Cohen's d around 0.3. And persisting is sometimes right: the past spending may have bought information, options or reputation that count as future benefits. So the test is not 'have we spent a lot' but 'would we start this today, at today's prices, knowing what we now know'.
Example
For the Ohio University Theater's 1982-1983 season, Arkes and Blumer arranged for the first 60 people buying season tickets to be sold, at random, either the full-price ticket at $15, a ticket with a $2 discount, or one with a $7 discount. After excluding couples the groups had 18, 19 and 17 subjects, and colour-coded stubs recorded who attended each of the ten plays. Over the first five plays, full-price buyers attended 4.11 on average, against 3.32 for the $2 discount group and 3.29 for the $7 discount group. In the second half of the season the groups no longer differed.
Where it applies
When arguing to continue anything, strike every sentence about what has already been spent and see whether the case still stands. In engineering the sunk cost is often the system you wrote: ask whether you would adopt it today if someone else had written it, and treat the answer as the decision.
Think about it
Which project would you not start today, at today's prices, knowing what you now know, and why is it still running?
Applied it to something real? Log it.
Test yourselfThree groups paid $15, $13 and $8 for the same theatre season. What did Arkes and Blumer find, and what does it show?
Full-price buyers attended more plays in the first half of the season (4.11 against 3.32 and 3.29). Having paid more, with nothing else different, made people keep going.
Related models
- Loss aversionA loss hurts more than an equal gain pleases, so people pay too much to avoid losses and take odd risks to escape them.
- Opportunity costThe cost of any choice is the net value of the best alternative you gave up, whether or not money changed hands.
- One-way and two-way doorsMake reversible decisions quickly and save slow, careful deliberation for the ones you cannot undo.
- Regret minimizationFor a big personal choice, imagine yourself at 80 looking back, and pick the option you would be least likely to regret.
- Expected valueWeigh each outcome by its probability and add them up; that is what a repeated bet is worth on average, and only on average.
Sources and further reading
- Hal Arkes and Catherine Blumer, The Psychology of Sunk Cost, Organizational Behavior and Human Decision Processes 35 (1985)
- Daniel Friedman, Kai Pommerenke, Rajan Lukose, Garrett Milam and Bernardo Huberman, Searching for the Sunk Cost Fallacy, Experimental Economics 10(1) (2007)
- Richard Klein et al., Investigating Variation in Replicability: A Many Labs Replication Project, Social Psychology 45(3) (2014)