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A series of problem-solving experiments reveal that people are more likely to consider solutions that add features than solutions that remove them, even when removing features is more efficient.
Consider the Lego structure depicted in Figure 1, in which a figurine is placed under a roof supported by a single pillar at one corner. How would you change this structure so that you could put a masonry brick on top of it without crushing the figurine, bearing in mind that each block added costs 10 cents?
But a simpler (and cheaper) solution would be to remove the existing pillar, and let the roof simply rest on the base. Across a series of similar experiments, the authors observe that people consistently consider changes that add components over those that subtract them — a tendency that has broad implications for everyday decision-making.
For example, Adams and colleagues analysed archival data and observed that, when an incoming university president requested suggestions for changes that would allow the university to better serve its students and community, only 11% of the responses involved removing an existing regulation, practice or programme.
Similarly, when the authors asked study participants to make a 10 × 10 grid of green and white boxes symmetrical, participants often added green boxes to the emptier half of the grid rather than removing them from the fuller half, even when doing the latter would have been more efficient.
Adams et al. demonstrated that the reason their participants offered so few subtractive solutions is not because they didn’t recognize the value of those solutions, but because they failed to consider them. Indeed, when instructions explicitly mentioned the possibility of subtractive solutions, or when participants had more opportunity to think or practise, the likelihood of offering subtractive solutions increased.
It thus seems that people are prone to apply a ‘what can we add here?’ heuristic (a default strategy to simplify and speed up decision-making). This heuristic can be overcome by exerting extra cognitive effort to consider other, less-intuitive solutions.
Whereas the authors focused on participants’ failure to even consider subtractive solutions, we propose that the bias towards additive solutions might be further compounded by the fact that subtractive solutions are also less likely to be appreciated.
People might expect to receive less credit for subtractive solutions than for additive ones. A proposal to get rid of something might feel less creative than would coming up with something new to add, and it could also have negative social or political consequences — suggesting that an academic department be disbanded might not be appreciated by those who work in it, for instance.
Moreover, people could assume that existing features are there for a reason, and so looking for additions would be more effective. Finally, sunk-cost bias (a tendency to continue an endeavour once an investment in money, effort or time has been made) and waste aversion could lead people to shy away from removing existing features2, particularly if those features took effort to create in the first place.
These perceived disadvantages of subtractive solutions might encourage people to routinely seek out additive ones. This is consistent with Adams and colleagues’ suggestion that frequent previous exposure to additive solutions has made them more cognitively accessible, and thus more likely to be considered.
However, in addition, we posit that previous experience could lead people to assume that they are actually expected to add rather than subtract. As a result, the study’s participants might be generalizing from past experiences and instinctively assume that they should add features, only revisiting this assumption after further reflection or explicit prompting.
Similarly, members of a university community might implicitly assume that the incoming president wants them to formulate new initiatives, not criticize existing ones.
What are the implications of Adams and colleagues’ findings? There are many real-world consequences of failing to consider that situations can often be improved by removing rather than adding. For instance, when people feel dissatisfied with the decor of their home, they might address the situation by going on a spending spree and acquiring more furniture — even if it would be equally effective to get rid of a cluttering coffee table.
Such a tendency might be particularly pronounced for resource-deprived consumers, who tend to be particularly focused on acquiring material goods3. This not only harms those consumers’ financial situations, but also increases the strain on our environment.
On a grander scale, the favouring of additive solutions by individual decision-makers might contribute to problematic societal phenomena, such as the increasing expansion of formal organizations4 and the near-universal, but environmentally unsustainable, quest for economic growth5.
Adams and colleagues’ work points to a way of avoiding these pitfalls in the future — policymakers and organizational leaders could explicitly solicit and value proposals that reduce rather than add. For instance, the university president could specify that recommendations to remove committees or policies are both expected and appreciated.
In addition, both individuals and institutions could take self-control measures to guard against the default tendency to add. Consumers could minimize their storage space to restrain their purchases, and organizations could specify sunset clauses that trigger the automatic shutdown of initiatives that fail to meet specific goals.
Of note, it is unlikely that a bias towards addition will always apply. In some situations, it should arguably be easier to generate subtractive changes, because those do not require imagining something that isn’t already there. Indeed, when people imagine how a situation could have turned out differently,
they are more likely to do so by undoing an action they’ve taken rather than by adding an action they failed to take6. Going forwards, it would be worth exploring when our readiness to imagine removing events extends to imagining removing features, thereby helping us to solve problems through subtraction.