Optimism

Abstract

Optimism is a generalized attitude: the disposition to expect that good rather than bad things will happen, which the Medical Subject Headings vocabulary classifies as a form of evaluative orientation. Psychology studies it in two traditions: dispositional optimism, a stable outcome expectancy measured by the Life Orientation Test, and explanatory style, the habit of attributing setbacks to temporary, specific rather than permanent, pervasive causes. Across both, optimism is one of the better-replicated predictors of coping, physical health, and longevity. A separate line of work shows that most people hold an optimism bias, underestimating their own risk of misfortune, which rests on an asymmetry in how beliefs update from good versus bad news. This article sets out what optimism is, the two traditions that measure it, and the bias; a worked example scores a questionnaire and three interactive demonstrations follow.

Keywords: optimism, dispositional optimism, explanatory style, optimism bias

To be optimistic is to expect the future to go well. The expectation can be narrow, about a single examination or operation, or broad, a general confidence that things will work out, and it is this broad, dispositional form that cognitive psychology has studied most. Optimism matters because expectations shape behavior: a person who expects a good outcome keeps trying, engages with difficulty rather than withdrawing from it, and in doing so often brings the better outcome about. The construct sits where belief, motivation, and health meet, which is why it has become one of the central ideas of positive psychology.

This article is organized around optimism as a measurable cognitive construct. It defines the generalized expectancy and distinguishes it from mood and from mere cheerfulness, sets out the two research traditions — dispositional optimism and explanatory style — and the instruments each uses, reviews the evidence that optimism predicts coping, health, and longevity, and examines the optimism bias, the tendency to expect better-than-average outcomes for oneself. The organizing claim is that optimism is not a vague temperament but a specifiable expectancy about the future that can be measured and that reliably forecasts how people cope and how long they live.

What Optimism Is

Optimism is the generalized expectation that the future holds more good than bad. In the dominant cognitive account, developed by Michael Scheier and Charles Carver, it is a generalized outcome expectancy: a person is optimistic to the degree that they expect good things to happen to them across situations, and pessimistic to the degree that they expect bad things (Scheier & Carver, 1985). The emphasis on expectancy is what makes optimism a cognitive construct rather than a temperament. It locates optimism in a belief about future outcomes, and it connects it to a broader theory of self-regulation in which expectancies govern whether people persist toward a goal or disengage from it.

What distinguishes optimism from ordinary good cheer is that it is defined by its content — expectations about the future — and not by current mood. A person can be optimistic while feeling low, if they still expect the situation to improve, and cheerful while pessimistic, if they expect the good mood not to last. This is why optimism is measured by asking about expectations rather than about feelings, and why the construct predicts behavior: an expectation of success sustains effort in a way a passing good mood does not (Carver & Scheier, 2014). In the Medical Subject Headings vocabulary, optimism is filed as a type of attitude, reflecting its status as a stable evaluative orientation toward events rather than a transient emotional state.

Two Traditions: Dispositional Optimism and Explanatory Style

Optimism entered scientific psychology along two tracks, which measure different things and should not be conflated. The first is dispositional optimism, the Scheier–Carver tradition, in which optimism is a direct expectancy about future outcomes — one simply expects good things — and is assessed by asking people how much they agree with statements such as expecting the best in uncertain times (Scheier & Carver, 1985; Scheier et al., 1994).

The second is explanatory style, the tradition of Martin Seligman and Christopher Peterson, which grew out of the reformulated theory of learned helplessness. Here optimism is not measured directly but inferred from how a person explains events: an optimistic explanatory style attributes bad events to causes that are external, unstable, and specific ('the test was unfair this once'), whereas a pessimistic style attributes them to causes that are internal, stable, and global ('I am stupid, and always will be, at everything') (Peterson & Seligman, 1984; Peterson, 2000). On this account a pessimistic style is a risk factor for depression, because the habit of explaining setbacks as permanent and pervasive breeds the helplessness that depresses.

The two traditions correlate only modestly, because they target different things: dispositional optimism is a forward-looking expectancy, while explanatory style is a backward-looking causal habit that implies an expectancy. Both, however, converge on the same functional claim — that optimism sustains effort and protects well-being, while pessimism undermines them — and the first demonstration lets the reader assemble a dispositional-optimism score from its positively and negatively worded items.

Rate each statement from 0 (strongly disagree) to 4 (strongly agree). Three items are worded in the optimistic direction and scored directly; three are worded in the pessimistic direction and reverse-scored, so a rating of r contributes 4 − r points and agreeing with a pessimistic statement lowers the score. The total runs from 0 to 24, higher meaning more optimistic.

The presets reproduce the article’s Worked Example: Person A reaches 22 and Person B reaches 3, a nineteen-point difference in optimism. Notice that Person A disagreed with the pessimistic statements, and because those items are reversed that disagreement contributes points toward optimism — which is why both halves of A’s score are high and both halves of B’s are low. The items are original and illustrative, not the copyrighted Life Orientation Test.

Measuring Optimism

Because dispositional optimism is defined as an expectancy, it is measured by self-report. The standard instrument is the Life Orientation Test (LOT) and its revision, the LOT-R, developed by Scheier and Carver. The LOT-R presents a short set of statements, some worded in the optimistic direction (expecting good outcomes) and some in the pessimistic direction (expecting bad ones), along with filler items; respondents rate their agreement, the pessimistically worded items are reverse-scored, and the responses are summed into a single optimism score (Scheier et al., 1994). A crucial psychometric question the revision addressed is whether optimism and pessimism are simply opposite ends of one dimension or two partly separable dimensions; the LOT-R was designed to distinguish the construct from neuroticism, trait anxiety, and self-esteem, establishing that its predictive power is not merely a restatement of general negative affectivity.

Explanatory style is measured differently, either by the Attributional Style Questionnaire, which asks people to generate causes for hypothetical events and rate them on the internal, stable, and global dimensions, or by content-analyzing the causal statements people make in natural speech and writing (Peterson & Seligman, 1984). The difference in method matters: dispositional measures capture the expectancy directly and briefly, whereas explanatory-style measures capture the cognitive habit thought to produce it, at greater length. The second demonstration contrasts an optimistic and a pessimistic explanatory style across the three causal dimensions.

The event is fixed; only the explanation changes. Set the cause on each of the three dimensions the explanatory-style tradition measures. An optimistic style blames a setback on causes that are external, unstable, and specific; a pessimistic style blames causes that are internal, stable, and global.

The same grade yields a self-limiting or a self-protecting explanation depending only on the attribution. The three dimensions — internal–external, stable–unstable, global–specific — are exactly those the Attributional Style Questionnaire rates; a consistently pessimistic pattern is the risk factor for depression the reformulated learned-helplessness theory identifies. This is a didactic depiction, not a scored measurement.

Consequences: Coping, Health, and Longevity

The reason optimism commands scientific attention is that it predicts consequential outcomes. The clearest findings concern coping. Lisa Nes and Suzanne Segerstrom's meta-analysis showed that dispositional optimism is associated with more approach-oriented and fewer avoidance-oriented coping strategies: optimists tend to engage with a stressor, plan, and reframe it positively, whereas pessimists tend to deny it or withdraw (Nes & Segerstrom, 2006). This is the behavioral mechanism the expectancy theory predicts — expecting a good outcome keeps a person working toward it — and it links optimism to the broader psychology of self-regulation, the integrative framework a comprehensive review places the construct within (Carver et al., 2010).

The evidence on physical health is substantial. An early and influential demonstration found that dispositional optimism predicted faster recovery and better quality of life after coronary artery bypass surgery (Scheier et al., 1989). Heather Rasmussen, Scheier, and Joel Greenhouse's meta-analysis synthesized a large literature and found optimism to be a significant predictor of physical health outcomes across many studies and health domains (Rasmussen et al., 2009). More recent and more rigorous syntheses have strengthened the case: a meta-analysis by Alan Rozanski and colleagues found optimism associated with a substantially lower risk of cardiovascular events and of all-cause mortality (Rozanski et al., 2019), and a large two-cohort study reported that the most optimistic men and women lived longer and were more likely to reach an exceptionally old age than the least optimistic (Lee et al., 2019). The third demonstration maps a level of dispositional optimism onto the coping and health outcomes the literature associates with it.

Set a person’s dispositional optimism on the same 0–24 scale as the questionnaire above. Higher optimism predicts more engaged coping and, in meta-analyses, better physical health and greater longevity. Toggle the coping readout to see the approach–avoidance trade-off: as optimism rises, engaged coping climbs and avoidant coping falls.

The bars show the direction of the associations the literature reports: optimism is linked to engaged rather than avoidant coping (Nes & Segerstrom, 2006), to better physical health (Rasmussen et al., 2009; Rozanski et al., 2019), and to a greater chance of reaching an exceptionally old age (Lee et al., 2019). The numbers are an illustrative mapping, not fitted effect sizes, and the associations are correlational: optimism predicts these outcomes, but the demo does not assert that it alone causes them.

These associations are correlational, and the field has worked to rule out confounds — most importantly that optimism is not merely the absence of depression or neuroticism, which the LOT-R's discriminant validity helps establish (Scheier et al., 1994). The causal pathways are plausibly several: optimists cope more adaptively, adhere better to medical advice, maintain healthier behaviors, and may mount different physiological stress responses. Disentangling these mechanisms, and establishing which part of the optimism–health association is causal, remains the central empirical problem.

The Optimism Bias

A separate line of research concerns not stable individual differences but a near-universal tendency: the optimism bias, the inclination to expect better-than-average outcomes for oneself. Neil Weinstein first documented it systematically, showing that people rate their own chances of experiencing positive events (owning a home, living long) as above average and their chances of negative events (illness, divorce) as below average — a statistical impossibility when everyone does it (Weinstein, 1980). This unrealistic optimism is distinct from dispositional optimism: it is a bias in judgment about the self relative to others, present in most people rather than a trait on which they vary.

Tali Sharot's work located a cognitive mechanism for the bias in how beliefs are updated. When people receive information about future probabilities, they tend to update their beliefs more in response to good news than to bad news: told that their risk of some misfortune is lower than they feared, they revise their estimate downward readily; told it is higher, they revise upward only reluctantly (Sharot, 2011). This asymmetric belief updating means that optimistic expectations are, in part, actively maintained by the way the mind weights incoming evidence. The bias is not simply wishful thinking laid over accurate beliefs; it is built into the updating process itself. The final demonstration earlier in the article made this concrete; here the point is conceptual — the optimism bias shows that optimism is not only a trait that varies across people but a default feature of how the typical mind forecasts its own future.

Worked Example: Scoring an Optimism Questionnaire

Consider an illustrative six-item optimism questionnaire built on the logic of the LOT-R, with three items worded in the optimistic direction and three in the pessimistic direction, each rated from 0 (strongly disagree) to 4 (strongly agree). The three optimistic items ask about expecting the best and about generally expecting things to go one's way; the three pessimistic items ask about expecting things to go wrong and about rarely counting on good things. The pessimistic items are reverse-scored — a rating of r contributes `4 − r` points — so that agreeing with a pessimistic statement lowers the optimism score. The total is the sum of the three optimistic item scores and the three reverse-scored pessimistic item scores, giving a range from 0 to 24, where a higher score indicates greater optimism. This mirrors the real LOT-R, which has three positively worded items, three negatively worded items, and four fillers, each scored 0 to 4; the items here are original and illustrative, not the published instrument (Scheier et al., 1994).

- Person A is optimistic: optimistic items rated 4, 3, 4; pessimistic items rated 0, 1, 0. - Person B is pessimistic: optimistic items rated 1, 0, 1; pessimistic items rated 4, 3, 4.

Person A's optimistic items sum to `4 + 3 + 4 = 11`. Their pessimistic items were rated `0, 1, 0`, which reverse-score to `4 + 3 + 4 = 11`, so the total is `11 + 11 = 22`. Person B's optimistic items sum to `1 + 0 + 1 = 2`, and their pessimistic items, rated `4, 3, 4`, reverse-score to `0 + 1 + 0 = 1`, for a total of `2 + 1 = 3`. The gap between them, `22 − 3 = 19`, is the measured difference in optimism on this 0–24 scale. Note how the reverse-scoring works: Person A disagreed with the pessimistic statements, and that disagreement contributes points toward optimism, which is why both halves of A's score are high while both halves of B's score are low (Scheier et al., 1994).

Discussion

The study of optimism is the study of how an expectation about the future becomes a cause of the future it anticipates. The construct began as two separate ideas — Scheier and Carver's generalized outcome expectancy and Seligman and Peterson's explanatory style — and matured into one of the more robust predictive constructs in personality and health psychology. The decisive steps were methodological: the Life Orientation Test gave dispositional optimism a brief, validated measure that could be shown to predict outcomes over and above neuroticism and anxiety (Scheier et al., 1994), and the attributional framework gave explanatory style a way to quantify the causal habits that forecast depression (Peterson & Seligman, 1984).

What the mature construct shows is that optimism is both consequential and, at least partly, a bias. It predicts engaged coping (Nes & Segerstrom, 2006), better physical health (Rasmussen et al., 2009), and in recent large studies, fewer cardiovascular events and longer life (Rozanski et al., 2019; Lee et al., 2019). At the same time, the typical mind tilts optimistic by default, underestimating personal risk through an asymmetry in belief updating (Weinstein, 1980; Sharot, 2011). The open problems are those of any construct built on self-report and correlation. The causal claim — that optimism produces better health rather than merely accompanying it — still needs the experimental and longitudinal evidence that would settle it; the relation between the dispositional and explanatory-style traditions is only partly mapped; and the adaptive value of the optimism bias is genuinely double-edged, protective of motivation and mood but capable of leading people to underprepare for real risks. A related qualification comes from the study of defensive pessimism, in which some anxious individuals deliberately set low expectations and mentally rehearse what could go wrong, using that pessimism to channel anxiety into preparation and performance rather than letting it impair them (Norem & Cantor, 1986).

Cognitive Implications

Optimism is a clean example of how an expectancy steers cognition and behavior. In self-regulation theory, a person pursuing a goal continually, if implicitly, assesses whether it is attainable; a favorable assessment sustains effort, an unfavorable one prompts disengagement (Carver & Scheier, 2014). Dispositional optimism is, in effect, a standing bias toward the favorable assessment, which is why it predicts persistence and the better outcomes persistence brings. The construct thus connects a belief about the future to a motivational consequence in the present, which is exactly the kind of mechanistic link cognitive psychology seeks.

The optimism bias adds a second lesson. If most people update their beliefs more readily from good news than from bad, then optimism is not only a trait that distinguishes individuals but a built-in tilt in the machinery of prediction itself (Sharot, 2011). This reframes a long-standing puzzle: why optimism is so common despite a world that regularly disappoints. The answer the updating account gives is that the mind is organized to preserve favorable expectations, discounting the evidence that would erode them. For cognitive psychology the implication is that an estimate of the future is not a neutral readout of the evidence but a construction that systematically favors the hopeful reading — a bias with real costs when risks are underweighted, and real benefits when it keeps a person engaged.

Current Directions

The most consequential recent work has moved optimism research from psychology into epidemiology. Rozanski and colleagues' meta-analysis pooled prospective studies and reported that higher optimism was associated with a markedly lower risk of cardiovascular events and of death from any cause, putting optimism alongside established behavioral risk factors in cardiology (Rozanski et al., 2019). In the same year, Lewina Lee and colleagues analyzed two large, long-running cohorts and found that more optimistic individuals had longer lifespans and a greater likelihood of surviving to age eighty-five, an association that held after adjustment for health behaviors (Lee et al., 2019). These findings have sharpened the causal question rather than settling it, and have motivated interest in whether raising optimism could be a route to better health.

That motivates a second, more applied direction: whether optimism can be deliberately increased. John Malouff and Nicola Schutte's meta-analysis of optimism interventions found that psychological techniques — most often variants of the 'best possible self' exercise, in which people imagine and write about a future in which things have gone well — produced modest but reliable increases in optimism (Malouff & Schutte, 2017). The open questions are how large and how durable these gains are, whether they translate into the health outcomes the correlational literature predicts, and how the dispositional and explanatory-style routes to optimism might each be targeted. The convergence of a replicable predictor, a plausible mechanism, and a trainable skill is what keeps optimism an active research front rather than a settled chapter.

Common Misconceptions

Optimism is just a cheerful mood.

No. Optimism is defined as an expectation about the future, not a current feeling. A person can expect good outcomes while feeling low, or feel cheerful while expecting things to go badly, which is why optimism is measured by asking about expectations rather than about mood (Carver & Scheier, 2014).

Optimism and pessimism are simply opposite ends of one scale.

Partly, but the relation is more subtle. The Life Orientation Test includes both optimistically and pessimistically worded items precisely because research found optimism and pessimism to be partly separable rather than perfectly inverse, and the revised scale was built to distinguish optimism from neuroticism and trait anxiety (Scheier et al., 1994).

The optimism bias means optimists are deluded.

No. The optimism bias is a near-universal tendency to expect better-than-average outcomes for oneself, present in most people regardless of their trait optimism. It reflects an asymmetry in how everyone updates beliefs from good versus bad news, not a delusion peculiar to optimistic individuals (Weinstein, 1980; Sharot, 2011).

Optimism is fixed and cannot be changed.

No. Although dispositional optimism is relatively stable, a meta-analysis of interventions found that psychological exercises can produce modest, reliable increases in optimism, and the explanatory-style tradition was built around teaching people to reattribute setbacks (Malouff & Schutte, 2017).

Glossary

Attitude.

A stable evaluative orientation toward an object or class of events; in the Medical Subject Headings vocabulary optimism is classified as a type of attitude.

Attributional Style Questionnaire.

The instrument used in the explanatory-style tradition, which asks people to generate causes for hypothetical events and rate them on the internal, stable, and global dimensions.

Defensive pessimism.

A strategy in which a person deliberately sets low expectations and rehearses what could go wrong as a way of managing anxiety and preparing; a reminder that low expectations are not always maladaptive.

Dispositional optimism.

Optimism conceived as a stable, generalized expectancy that good outcomes will occur, measured directly by the Life Orientation Test.

Explanatory style.

The habitual way a person explains the causes of events; an optimistic style attributes bad events to external, unstable, and specific causes, a pessimistic style to internal, stable, and global ones.

Generalized outcome expectancy.

The expectation, applied across situations rather than tied to a single one, that outcomes will be favorable or unfavorable; the core of the dispositional account of optimism.

Learned helplessness.

The passivity that follows exposure to uncontrollable events; its attributional reformulation gave rise to the explanatory-style account of optimism and pessimism.

Life Orientation Test.

Scheier and Carver's self-report measure of dispositional optimism, revised as the LOT-R, which sums optimistically worded and reverse-scored pessimistically worded items into a single score.

Optimism bias.

The near-universal tendency to expect better-than-average outcomes for oneself, underestimating personal risk of misfortune relative to others.

Optimism.

The generalized expectation that the future holds more good than bad; studied as a dispositional expectancy and as an explanatory style.

Pessimism.

The generalized expectation that bad rather than good outcomes will occur; the low end of the optimism dimension and, as an explanatory style, a risk factor for depression.

Positive psychology.

The scientific study of well-being and human strengths, founded in part by Seligman, within which optimism is a central construct.

Self-regulation.

The process of pursuing goals by monitoring progress and adjusting effort; the theoretical framework in which optimistic expectancies sustain persistence.

Unrealistic optimism.

Weinstein's term for the statistically impossible pattern in which most people judge their own chances of good events as above average and of bad events as below average.

Key Researchers

Charles S. Carver

(University of Miami; 1947–2019). Co-originator, with Michael Scheier, of the dispositional-optimism model and the self-regulation theory in which optimistic expectancies sustain goal pursuit; co-author of the Life Orientation Test. Google Scholar · Wikidata

Christopher Peterson

(University of Michigan; 1950–2012). Co-developer, with Martin Seligman, of the explanatory-style account of optimism and of the attributional reformulation of learned helplessness; a founder of positive psychology. Wikipedia · Wikidata

Michael F. Scheier

(Carnegie Mellon University). Co-originator of the dispositional-optimism model and co-author of the Life Orientation Test, which operationalized optimism as a measurable generalized outcome expectancy. Faculty · Google Scholar

Suzanne C. Segerstrom

(Oregon State University). Health psychologist whose meta-analytic and longitudinal work established how dispositional optimism shapes coping and physiological outcomes. Faculty · ORCID

Martin E. P. Seligman

(University of Pennsylvania). Originator of the learned-helplessness and explanatory-style tradition of optimism and a founder of positive psychology. Faculty · Wikipedia

Tali Sharot

(University College London). Cognitive neuroscientist whose work identified the optimism bias as a neurally grounded asymmetry in how people update beliefs from good versus bad news. Faculty · ORCID

Frequently Asked Questions

What is optimism?

Optimism is the generalized expectation that good rather than bad things will happen in the future. In the dominant cognitive account it is a generalized outcome expectancy, a stable belief that outcomes will be favorable, rather than a passing mood (Scheier & Carver, 1985).

What is the difference between dispositional optimism and explanatory style?

Dispositional optimism is a forward-looking expectancy, measured by asking people what they expect, whereas explanatory style is a backward-looking habit of explaining why events happened. An optimistic explanatory style attributes bad events to temporary, specific causes; the two traditions correlate only modestly (Scheier & Carver, 1985; Peterson & Seligman, 1984).

How is optimism measured?

Dispositional optimism is measured most often with the Life Orientation Test and its revision, the LOT-R, which sum optimistically worded and reverse-scored pessimistically worded items. Explanatory style is measured with the Attributional Style Questionnaire or by content-analyzing causal statements (Scheier et al., 1994).

Does optimism actually affect health?

Meta-analyses associate dispositional optimism with better physical health, and recent large studies link it to fewer cardiovascular events and longer life. The associations are robust but largely correlational, so the causal pathways are still being established (Rasmussen et al., 2009; Rozanski et al., 2019; Lee et al., 2019).

What is the optimism bias?

It is the near-universal tendency to expect better-than-average outcomes for oneself, judging one's own risk of misfortune as below average. It is distinct from trait optimism, being present in most people, and rests on an asymmetry in how beliefs are updated from good versus bad news (Weinstein, 1980; Sharot, 2011).

How does optimism help people cope?

Optimists tend to use engaged, approach-oriented coping (planning, problem-solving, and positive reframing) rather than denial or withdrawal, because expecting a good outcome sustains effort toward it. A meta-analysis found dispositional optimism reliably associated with this adaptive coping pattern (Nes & Segerstrom, 2006).

Is optimism always a good thing?

Not unconditionally. The optimism bias can lead people to underestimate real risks and underprepare for them, and defensive pessimism shows that low expectations can sometimes aid performance. Optimism's benefits for motivation and health are well supported, but they coexist with the costs of underweighting bad news (Sharot, 2011).

Can a person become more optimistic?

To a degree. Dispositional optimism is relatively stable, but a meta-analysis of interventions found that psychological exercises, such as imagining one's best possible future self, can produce modest, reliable increases in optimism (Malouff & Schutte, 2017).

References