Mind the Economy/Justice 175

Prudent cooperation

The ability to act together does not necessarily equate to the ability to act rightly

Adobestock

11' min read

Translated by AI
Versione italiana

11' min read

Translated by AI
Versione italiana

‘The best plan is not necessarily the one that produces the best possible outcome,’ writes Michael Bacharach in *Beyond Individual Choice* (2006, p. 131). This statement may seem paradoxical. How can a plan be considered the best without producing the best outcome?

Let’s imagine a high street where around twenty shopkeepers run their businesses. Everyone knows that the street needs to be kept cleaner, has better lighting and requires some initiatives to attract new customers. The local council does not have sufficient resources, but the shopkeepers could organise themselves independently and fund these improvements directly. Each shopkeeper would need to contribute voluntarily, in the knowledge that everyone would benefit from the improvements. If everyone took part, the benefits for each individual would certainly outweigh the costs incurred. The problem is that every shopkeeper might be tempted to be a free rider – that is, to let others bear the costs whilst still enjoying the benefits. The situation, therefore, is this: if I am certain that others will contribute, it is in my interest not to do so; and if I expect others not to contribute, it is even less in my interest to be the only one to bear the cost. We thus find that, in any case, the best choice would be not to contribute. Consequently, a perfectly rational choice for each individual ends up producing an unsatisfactory result for everyone. The road remains as it is, even though everyone would have preferred to improve it.

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So far, nothing particularly original. It is the classic problem that economists call the ‘prisoner’s dilemma’, which becomes even more complicated as the number of people involved increases. It is the same logic we encounter when analysing the provision of public goods, the management of common resources or environmental protection, to name but a few examples. But let’s try altering the situation slightly. The first trader is genuinely convinced that funding the improvements is the right thing to do, not just for himself but for everyone, and for this reason he would be willing to contribute. He fears, however, that the others will not do the same. And that, in this case, his investment will be wasted without bringing about any significant improvement. What should he do? Should he cooperate anyway, accepting the risk, or should he opt out? The seemingly most virtuous answer is not necessarily the most rational one. And the interesting point, as we shall see, is that it may not even be the most rational choice from the point of view of the collective interest. One might decide not to cooperate not because one is selfish, but precisely because one is trying to do what is best for the group. This is one of the most interesting implications of Michael Bacharach’s theory of team reasoning. To understand it, we must begin by analysing the logic of the prisoner’s dilemma in a little more depth.

The rationality of those who do not cooperate

The ‘prisoner’s dilemma’ has become one of the most widely studied examples in economic theory because it describes a situation in which the rational pursuit of self-interest produces an outcome that none of the participants considers desirable. Its structure is relatively simple. Two individuals must decide, independently of one another, whether or not to cooperate. If both cooperate, each gains 2. If neither cooperates, both gain 1. If one cooperates and the other does not, however, the former loses 3 and the latter gains 3. Which choice is the best to make? If the other person cooperates, it is in my interest not to cooperate because I gain 3 instead of 2. If the other person does not cooperate, it is still in my interest not to cooperate because I gain 1 instead of losing 3. The conclusion is inevitable: whatever the other person does, my best choice is not to cooperate. And since the other player is in exactly the same situation, both will end up choosing not to cooperate. The result will be a payoff of 1 each, when we could have obtained 2 if we had chosen to cooperate. Game theory defines this outcome as a Nash equilibrium. Neither player has any incentive to unilaterally change their choice, even though both would be better off if they could change it together. The problem is not that the players are short-sighted, ill-informed or incapable of calculating the consequences of their decisions. It is precisely because they understand the situation perfectly that they end up choosing not to cooperate. Individual rationality leads to an outcome that proves to be collectively inefficient.

When faced with a situation of this kind, the traditional approach is to try to alter the incentive structure to encourage cooperation. It would be better if everyone paid their taxes, but each individual has an incentive not to do so. Imposing penalties on tax evaders is precisely a means of altering individual incentives, transforming the dilemma and encouraging cooperation. If cooperation is not in anyone’s interest, we must ensure that it becomes so through external intervention. We can introduce penalties for those who do not contribute, rewards for those who cooperate, monitoring mechanisms or binding agreements. This is the standard course of action. Bacharach’s perspective is different. His proposal does not involve altering the benefits associated with different choices, but rather challenging the perspective from which those choices are evaluated. As we saw in last week’s Mind the Economy, the central idea of his theory of ‘team reasoning’ is that, in certain circumstances, individuals may identify as members of a group and reason by treating the group itself as the decision-making unit. In the ‘prisoner’s dilemma’, this shift produces an immediate result. If I consider the four possible combinations of actions from an individual perspective, non-cooperation always remains the best choice. But if I consider them from the group’s perspective, the conclusion changes. Mutual cooperation yields a total benefit of 4, whilst a lack of mutual cooperation yields only 2. The two situations in which one cooperates and the other does not, on the other hand, yield a total benefit of zero. If the team’s objective is to maximise the sum of individual benefits, the best solution is therefore mutual cooperation. Once this solution has been identified, each member of the group need only recognise which part of the collective plan falls within their control. If the best plan involves both cooperating, my part is to cooperate. Bacharach describes this process as ‘do-it-yourself direction’, a form of self-directed leadership. It is as if each player were simultaneously taking on the role of both coach and team member, or that of both conductor and orchestra member. First, the best strategy for everyone is identified; then, each person carries out their part. The interesting point is that the benefits and costs of the actions have not changed. Cooperating remains individually less advantageous than not cooperating, whatever the other person’s choice may be. What changes is the process through which the rational decision is identified. I no longer seek the best individual response to the behaviour of others, but rather my contribution to the best combination of actions for the group. It is not a more sophisticated form of altruism, nor a sacrifice made in the name of some moral obligation. It is a radically different way of thinking.

What if the others don’t cooperate?

However, one difficulty remains. Mutual cooperation is the best solution for the group only if everyone cooperates. Only if all members identify with the group in the same way. But if I think as a member of the team whilst the others continue to think only of themselves, the result can be disastrous. I cooperate, the others do not, and I lose out completely. My attempt to achieve the common good produces a result that will be worse for me than the one I would have obtained if no one had cooperated.

Bacharach takes this objection very seriously. In *Beyond Individual Choice*, he develops a detailed version of team reasoning, which he calls ‘circumspect team reasoning’. The adjective is important because it introduces into the theory a consideration that we had hitherto overlooked. We cannot take it for granted that all individuals perceive a situation involving a choice in the same way. In other words, not everyone feels and reasons, for example, as a member of a team. For Bacharach, identification with the group is not a permanent characteristic of people. It is a psychological process that can be triggered by certain circumstances. In one situation I may regard myself as part of a team; in another, I may reason exclusively as an individual. And the same applies to others. This means that, when I have to decide what to do, I may be uncertain about the actions others will choose, due to the uncertainty inherent in the identification process. Will they be reasoning as individuals or as members of the group? Let us suppose, then, that each player has a certain probability of adopting collective reasoning. Those who reason as members of the team will try to carry out the collective plan, whilst those who do not will choose according to individual rationality. The question, then, becomes which plan is best for the group, taking into account the possibility that some of its members will not follow it. This is a different question from the one we have asked ourselves so far. We are no longer asking which combination of actions would yield the maximum benefit if everyone carried it out. We are asking which plan would yield the greatest expected overall benefit, whilst also taking into account the risk that someone might not do their bit. Bacharach shows that, in the prisoner’s dilemma, for example, which we have considered so far, the answer depends precisely on the probability (ω) of identifying with the group. If the probability that each player will follow the collective plan is sufficiently high, cooperation remains the best solution. But if that probability is low, then the situation changes. Cooperation yields the greatest benefit only if others cooperate as well. When this outcome becomes too unlikely, the risk of unilateral cooperation may outweigh the advantage of mutual cooperation. In such cases, choosing not to cooperate may even be consistent with reasoning geared towards the common good. Naturally, the threshold value of ω that makes cooperation rational depends on the values assigned to the various outcomes and on the model’s assumptions.

The conclusion that emerges from this type of analysis is profound and rich in practical implications. Simply wanting to cooperate is not enough for cooperation to automatically become the best choice. It also matters how likely we think others are to do the same.

The Cost of Uncertainty

Let’s return to the initial example of the shopkeepers and their street. Let’s suppose that some of them are genuinely convinced of the benefits of the regeneration project. They regard the street as a common good, recognise that the improvements would benefit everyone and would be willing to contribute, but the problem is that they do not know how many others share this conviction. Some might prefer not to take part, others might wait for their neighbours to foot the bill, whilst others might simply be sceptical about the initiative’s success. At this stage, a shopkeeper’s failure to participate tells us nothing about the value they attach to the project. They might be very keen for it to go ahead whilst, at the same time, considering the risk of being one of the few to fund it to be too high. Others, however, might simply not believe in the initiative at all.

Cooperation as an institutional problem

Taking this possibility into account radically changes the way in which we traditionally interpret many problems of cooperation. We are accustomed to explaining a lack of participation in terms of selfishness, extreme individualism, indifference or a lack of prosocial motivation. Bacharach’s theory suggests that, at least in some cases, the problem may lie elsewhere. People may share a collective goal without believing it sufficiently likely that others will contribute to achieving it. This distinction is significant because it has very different implications for public policy. If the problem were merely selfishness, we would need to try to change individual preferences or incentives. But if the problem also involves uncertainty about the behaviour of others, then we could intervene to create conditions that increase the likelihood of widespread cooperation.

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Let us consider a traders’ association that decides to launch the project only after having gathered a sufficient number of binding commitments. Or a system in which contributions are paid into a common fund and used only once the necessary sum has been reached; otherwise, they are refunded. In both cases, there is no need to alter the value that each shopkeeper attaches to the road improvement. It is sufficient to reduce the risk that their contribution will remain isolated – and be lost. This is not an individual issue, but an institutional one. We must not change the motivations of individuals, but the rules governing how they work together. Of course, these mechanisms do not eliminate all problems of cooperation. Differences in the assessment of benefits, distributional conflicts or opportunistic behaviour may still remain. These mechanisms address a specific aspect, making the participation of others more credible and, in this way, altering the conditions under which each person makes their decision.

Bacharach’s perspective thus allows us to view trust not only as a moral disposition, but also as a structural and epistemic condition that influences the possibilities for cooperation. If I consider it likely that others are willing to contribute to a common project, I may find it rational to do so myself. If, on the other hand, I believe that most others will not participate, the same choice may become too risky. The fundamental innovation is that this assessment may depend not so much on our beliefs about the nature of others’ motivations, but on our assessment of the probability that they will or will not adopt the ‘we’ perspective. Institutions, then, could operate not only by seeking to modify incentives through rewards, sanctions and controls, but also by attempting to reduce uncertainty about others’ behaviour, making commitments verifiable and helping to create the conditions in which collective reasoning becomes a practical reality. Consider the funding of public services, the management of environmental resources or the organisation of work. In all these areas, the success of an initiative often depends on the participation of a large number of individuals. Individual willingness to cooperate may be high and yet insufficient when the conditions that make others’ participation credible are lacking.

Choice and responsibility

This observation also has implications for the way we assess individual responsibility. A person may be willing to contribute to the common good, but may not have sufficient resources to bear the risk of failure. Furthermore, the cost of this uncertainty is not the same for everyone. A company with ample financial resources can afford to participate in a collective project even when the outcome is uncertain. A small business might not be able to afford to do so. A worker in a secure position can bear the costs of a collective action that a worker in a precarious position might consider unsustainable. This is not necessarily a matter of differences in people’s moral character. It may be differences in the material conditions that make it possible to take on the risk of cooperation. Here, the issue of justice arises once more. If the possibility of cooperating, in fact, also depends on the ability to bear the costs of a potential failure, then economic inequalities can translate into inequalities in the very possibility of participating in collective projects. It is not enough to ask everyone to play their part when the risk of doing so falls to a very different extent on individuals. A policy aimed at fostering cooperation must therefore consider not only the incentives at play, but also the way in which the risks associated with collective action are distributed. It may seek to reduce them, to share them, or to ensure that they do not place a disproportionate burden on those with fewer resources. Michael Bacharach did not set out to develop a theory of distributive justice and never directly addressed these issues. His contribution is more technical and more limited in scope, but no less relevant to the subject.

One fundamental question remains, however. The shift from ‘I’ to ‘we’ can help us overcome the limitations of individual self-interest, making possible forms of cooperation that we would otherwise be unable even to imagine. But what is rational for one group is not necessarily desirable for everyone else. An organisation, for example, can very effectively pursue objectives that are socially harmful, just as a community can strengthen its internal solidarity by excluding those who do not belong to it. The problem, then, is not merely to understand how a ‘we’ comes into being, but also where we draw its boundaries and what consequences this choice has for others. For the ability to act together does not necessarily coincide with the ability to act justly.

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