Motivated Reasoning

Motivated reasoning means our goals shape how we think through information. Wanting a particular answer can steer us toward supporting reasons, while wanting to be accurate can encourage more careful thinking. Try this: Before your next judgment, write down one piece of evidence that would change your mind.

Kunda’s 1990 Psychological Bulletin review distinguishes accuracy goals, meaning wanting a correct conclusion whatever it is, from directional goals, meaning wanting a particular conclusion. Both can shape reasoning, but they need not work through identical processes. [1]

Kunda proposes that directional goals influence which beliefs people recall, which explanations they construct, and how they evaluate evidence. People can build a convincing justification from a selective portion of what they know without recognizing that selection. This account involves reasoning processes; it does not suggest that reasoning switches off. [1]

Consider a hypothetical manager who wants to believe an employee is performing well. She accepts a favorable report but questions the methods of a comparable unfavorable report. Her preferred conclusion could guide which objections she considers. However, questioning a report alone does not establish motivated reasoning: its methods might actually be weak.

The proposed mechanism assumes that people can access different beliefs and reasoning strategies. It also has a constraint: they must be able to construct a seemingly reasonable justification. A desired conclusion is therefore not something they can necessarily believe at will. Kunda reviews evidence that accuracy goals can encourage more careful processing, while also describing cases where they fail to reduce bias. [1]

As a practical exercise, seek out the strongest arguments against your position and engage them charitably before responding. Compare favorable and unfavorable evidence using the same questions about quality. These are ways to practice pursuing accuracy, not guaranteed remedies: improvement also depends on having suitable reasoning strategies and knowing when to use them. [1]

• Theory: Kunda’s review proposes that motivation influences strategies for recalling, constructing, and evaluating beliefs. Accuracy goals favor strategies considered appropriate; directional goals favor strategies considered likely to produce a desired conclusion. [1]
• Empirical evidence reviewed: Several studies found that accuracy goals reduced particular judgment biases. Some studies also examined thinking more directly and found more complex processing, rather than inferring it solely from improved judgments. [1]
• Theory and constraint: Directional reasoning involves constructing a seemingly reasonable justification from selectively accessed knowledge. The account therefore limits wishful conclusions to those a person can justify; much of the reviewed support for this mechanism is indirect. [1]
• Empirical limits reviewed: Accuracy instructions or incentives did not eliminate bias in several studies. Kunda argues that improvement requires suitable reasoning strategies that people recognize as better and can access; more complex processing can sometimes worsen judgment. [1]
• Lois and colleagues (2024) studied members of groups with opposing immigration attitudes. Both groups endorsed attitude-consistent messages more than attitude-inconsistent messages and own-group messages more than other-group messages; neural responses were associated with later expressions of those biases. This task-specific evidence does not show that reasoning switches off or allow a brain scan to establish an individual's motives. [2]

This source is a 1990 review of psychological research, not a brain-imaging experiment. Much of the evidence for the proposed directional mechanism is indirect, and the excerpt discusses competing explanations based on prior beliefs and expectations. Unequal judgments alone therefore do not establish a motivational cause. The accuracy-goal research summarized before the directional-goal section largely concerns situations without a preferred outcome, so it does not establish that wanting accuracy reliably defeats a simultaneous desire for a particular answer. The practical exercises in this lesson are guidance informed by the framework, not guaranteed interventions. The manager example is hypothetical. [1]