How biases influence decisions

A cognitive bias is a systematic tendency in thinking that can lead to judgments that depart from relevant evidence or standards of logical reasoning. Systematic is the key word here. A bias is a recurring pattern, not just any incorrect answer.

When a person selects between possible courses of action, they engage in the cognitive process of Decision-making. A bias can shape which information they pay attention to. It can also affect how they interpret evidence and how much weight they give to different pieces of evidence.

Confirmation bias

Confirmation bias is a cognitive bias in which people preferentially seek, interpret or remember information that supports their existing beliefs. They don't have to be deliberately ignoring the truth. Evidence can feel convincing partly because it fits what they already expect.

Imagine a student deciding whether to join a lunchtime coding club. The student already believes the club is unfriendly, so they ask a classmate who disliked it. A brief reply from the organiser seems dismissive to them, while several welcoming messages receive little weight. The eventual decision not to join appears evidence-based. Yet the student has selected and interpreted that evidence unevenly.

The explanation needs to trace the chain: an existing belief directs information processing; this produces an unbalanced view of the evidence; that view influences the choice. Saying only that the student made a poor decision doesn't explain the bias.

How much does the bias explain?

Why might someone maintain a decision when contrary evidence is available? Confirmation bias helps explain this. It can also keep a disagreement going: two people may encounter the same information but treat different parts as credible.

A decision that supports an existing belief isn't automatically biased, though. The supporting evidence may genuinely be stronger. Look for unequal treatment of comparable supporting and opposing evidence when identifying confirmation bias; the outcome alone is not enough to judge the decision.

Deliberately considering an alternative explanation may reduce this uneven treatment. So may specifying decision criteria before reviewing the evidence. Neither approach guarantees an unbiased decision, but both make the reasoning less dependent on defending an initial belief.

Learning through associations

Learning is a relatively lasting change in behaviour or knowledge that results from experience. Conditioning explains how we learn through associations. The association differs, though: in classical conditioning, one stimulus predicts another; in operant conditioning, behaviour is associated with its consequences.

Classical conditioning

In Classical conditioning, a previously neutral stimulus comes to elicit a response after being paired with a stimulus that already elicits that response. It is a form of associative learning.

An unconditioned stimulus elicits a response without prior learning. The unlearned response it elicits is the unconditioned response. By contrast, a neutral stimulus initially does not elicit the response being studied.

Consider a brief puff of air near the eye. It naturally produces a blink: the air puff is the unconditioned stimulus, and the blink it produces is the unconditioned response. A soft tone initially does not produce that blink, so the tone is neutral with respect to this response.

If the tone repeatedly occurs just before the air puff, the person may eventually blink at the tone alone. The previously neutral stimulus that elicits a response following learning is called a conditioned stimulus. The learned response it elicits is the conditioned response. In this example, the tone becomes the conditioned stimulus; the blink to the tone is the conditioned response.

What elicits the response determines its label—not just what the response looks like. A blink caused by the air puff is unconditioned; a blink caused by the learned tone is conditioned. Reliable prediction helps explain why learning occurs. Repeated exposure to two unrelated events is not equivalent to one consistently signalling the other.

Operant conditioning

In Operant conditioning, the consequences of a behaviour change the likelihood that it will occur again. This is another form of associative learning. Unlike the conditioned blink, the behaviour operates on the environment and produces a consequence.

A consequence that increases the future likelihood of the behaviour it follows is Reinforcement. One that decreases that likelihood is Punishment. These terms describe what happens to behaviour, not what the person delivering the consequence intends.

There are four possibilities. To distinguish them, ask whether something is added or removed and whether behaviour increases or decreases:

• Positive reinforcement is reinforcement through adding a stimulus after a behaviour. If awarding a learner a valued badge after completing a practice session makes practice more frequent, it is positive reinforcement.
• Negative reinforcement is reinforcement through removing or preventing an aversive stimulus after a behaviour. If silencing an irritating reminder by submitting a completed task increases timely submission, it is negative reinforcement.
• Positive punishment is punishment through adding a stimulus after a behaviour. An unwelcome warning sound following an illegal move in a game is positive punishment if illegal moves become less frequent.
• Negative punishment is punishment through removing a valued stimulus after a behaviour. Losing game credits after an illegal move is negative punishment if illegal moves become less frequent.

The diagram separates the two decisions needed to classify a consequence: does behaviour increase or decrease, and is a stimulus added or removed?

Positive and negative mean addition and removal, not good and bad. Negative reinforcement increases behaviour. It isn't another name for punishment.

Applying operant conditioning to change behaviour

Suppose a teacher wants students to begin independent work promptly. The target behaviour needs to be observable—for example, opening the task and starting the first item after the instruction. “Be more motivated” is too vague: it does not identify what will receive reinforcement.

The teacher could give students a valued privilege following prompt starts. They would need to deliver it consistently and check whether prompt starts become more frequent. If students do not value the consequence, it may have little effect. Timing and contingency matter too. The consequence should clearly depend on the target behaviour, rather than arrive regardless of what the student does.

Using consequences in this way explains behaviour change, but there are limits. A learner may perform a rewarded action without understanding its value, and the change may not persist when reinforcement stops. Punishment may suppress an unwanted action without teaching a suitable alternative. When choosing consequences, the teacher therefore needs to consider both effectiveness and responsibility: support the desired behaviour without humiliation or excessive penalties.

Two modes of processing

Dual processing theory explains thinking by distinguishing relatively automatic, intuitive processing from relatively controlled, deliberate processing. It helps explain why people respond quickly in some situations but reason slowly and effortfully in others.

With Intuitive thinking (automatic), judgments emerge with little conscious effort, often from familiar patterns and learned associations. Rational thinking (controlled) uses deliberate attention to examine information and apply reasoning.

These are contrasting modes of processing, not two completely independent people inside the mind. Controlled processing can accept an initial intuitive judgment, check it or revise it. The diagram shows how the modes might interact, rather than presenting them as isolated routes.

Applying the theory to a decision

Imagine choosing between two bicycle repair plans. One advert prominently states “half-price service”. That option immediately feels attractive: intuitive processing of a familiar discount cue can produce this first judgment.

To process the offer in a controlled way, the customer would check the original price and which repairs are included, then examine the exclusions and total annual cost. The apparently cheaper plan might turn out to cost more for the repairs they expect to need. The theory accounts for the rapid first impression as well as the possibility of revising it through deliberate comparison.

The situation partly determines which mode dominates. Sustained controlled processing becomes harder when time is limited, attention is divided or the person is mentally fatigued. Someone with sufficient time and a reason to check the offer may be more likely to scrutinise it. Time alone, though, doesn't guarantee careful reasoning.

The theory's value and limits

A strength of the theory is that it explains why the same person thinks differently on different occasions. Someone may make a considered choice one day and a quick, cue-driven choice on another. An immediately appealing answer may also remain influential even when more careful reasoning is possible.

Do not equate intuitive with wrong or controlled with correct. Familiar patterns can support rapid, accurate judgments, particularly when someone has relevant experience. Deliberate reasoning can still fail: it may use incorrect information or be directed towards defending a preferred conclusion.

The distinction offers a useful framework, but actual thinking may involve overlapping processes rather than a clean switch between two modes. Processing is not directly visible. A fast answer alone therefore does not prove intuitive thinking, just as a slow answer does not prove sound reasoning.

Knowledge organised by experience

A schema is an organised mental structure of knowledge and expectations about a category, situation or event. Schema theory explains cognition in terms of how these structures influence the way people process information and respond to their surroundings.

Schemas develop through experience. Rather than interpret every situation from scratch, people can draw on what they already know. Even an unfamiliar-looking workshop may fit a schema: participants expect to register and receive instructions, then use equipment only when permitted.

The role of schemas in cognition

Schemas can direct attention towards details that seem expected or relevant. When information is unclear, they can also help people interpret it. Seeing someone wearing protective glasses in a workshop, for example, may suggest that a practical activity is about to begin.

Memory can be shaped by schemas too. Remembering isn't always an exact replay of an event. People may draw on existing knowledge to reconstruct incomplete information. A participant might later remember receiving a safety demonstration because it fits their workshop expectations, even though the organiser supplied only written instructions.

There is an advantage here, but also a cost. Prior knowledge makes understanding efficient; it can also introduce details that people expected rather than experienced. A schema doesn't simply store information. It helps shape how that information is interpreted.

The role of schemas in behaviour

By providing expectations about what is appropriate in a situation, schemas can guide actions. Someone attending a workshop for the first time may look for a registration desk and wait for instructions. They may also avoid touching unfamiliar tools. These actions can come from prior knowledge of similar settings, even when no explicit directions have been given at that moment.

Expectations don't always fit the situation, though. Following a familiar pattern could cause confusion if the workshop is organised differently. New experience can prompt a person to revise an existing schema, so schema-guided behaviour is not necessarily fixed.

What schema theory explains

Schema theory links previous experience to present cognition and behaviour. It is especially useful for explaining why people with different knowledge and expectations can interpret the same event differently.

That flexibility is also a limitation. A mistaken recollection alone does not prove that a schema caused it. Poor attention or missing information could also contribute. A stronger explanation identifies the relevant prior expectations and shows how the interpretation, memory or action follows their particular pattern.

Learning by observing others

Social learning theory explains how people acquire behaviours by observing others and the consequences of their actions. Cognitive processes influence whether they then perform the behaviour. A model is a person whose behaviour gives an observer an example to learn from. Observational learning occurs when someone learns by watching another person's behaviour, rather than only through direct experience of its consequences.

Learners don't have to receive a reward or punishment themselves to learn. Watching someone else can tell them about an action and its likely outcome.

From observation to performance

Watching does not guarantee imitation. Four processes help explain whether a learner goes on to perform an observed action:

• Attention: the learner must notice relevant features of the model's behaviour. Distraction or an unclear demonstration can prevent this.
• Retention: the learner must remember the action well enough to use it later. Remembering the sequence or describing it verbally can help.
• Reproduction: the learner must be able to carry out the behaviour. Watching a skilled performance does not immediately give them the physical or cognitive ability it requires.
• Motivation: the learner must have a reason to perform the behaviour. Expected consequences can affect whether they put acquired knowledge into action.

For example, a new volunteer watches an experienced colleague sort donated materials. They notice the categories and remember the sorting sequence. The volunteer can carry it out and expects that following the procedure will help the team. Each process helps explain their later performance.

Distinguish acquiring a behaviour from performing it. A volunteer might learn the procedure accurately but wait until they are given a task before demonstrating it. No immediate imitation doesn't necessarily mean that no learning has occurred.

The influence of observed consequences

Vicarious reinforcement is an increase in an observer's likelihood of performing a behaviour after seeing a model receive a rewarding consequence for it. Suppose the experienced volunteer receives appreciation for careful sorting. The observer may expect similar approval and become more willing to follow the procedure.

Vicarious punishment is a decrease in an observer's likelihood of performing a behaviour after seeing a model receive a punishing consequence for it. A colleague might lose a valued responsibility after repeatedly ignoring the procedure. Seeing this may discourage the observer from behaving that way, without experiencing the consequence directly.

Observed consequences shape expectations; they do not mechanically force imitation. Whether imitation occurs can also depend on the model's relevance and credibility, the learner's abilities and the situation.

Applying the theory to change behaviour

An organiser who wants to encourage safe handling of equipment could ask a competent, relatable model to demonstrate the desired actions clearly. Learners should be able to see the important steps and rehearse them. The demonstration should also show meaningful positive consequences for careful handling.

These choices follow from the theory. Visibility supports attention, while clear sequencing supports retention. Practice supports reproduction, and observed benefits support motivation. Simply displaying a role model is a weaker application if the behaviour isn't made understandable.

Social learning theory explains how behaviour can spread without everyone learning through personal trial and error. Yet people may resist an observed behaviour or interpret its consequences differently. They may also lack the opportunity to reproduce it. A convincing explanation treats the learner as an active processor of information, not a passive copier.