Cognitive Biases Research Articles

Experiences with diagnostic delay among underserved racial and ethnic patients: a systematic review of the qualitative literature

ObjectiveDiagnostic delay is a pervasive patient safety problem that disproportionately affects historically underserved populations. We aim to systematically examine and synthesise published qualitative studies on patient experiences with diagnostic delay...

A misleading miscellanea: a COVID-19 patient with fever and cytopenia

Complex clinical cases characterized by the coexistence of multiple pathologies and, consequently, multiple signs and symptoms shared by various pathological entities can hide pitfalls that may lead to incorrect diagnostic conclusions due to cognitive biases. Here, we present the case of a man who presents hyperpyrexia, progressive pancytopenia, and splenomegaly in the context of a SARS-CoV-2-related infection; the final diagnosis will be different from the initial diagnostic hypothesis.

Theorising Bounded Rationality in EU Policy‐Making

AbstractThis article proposes a theoretical framework combining multi‐level governance (MLG) with bounded rationality. MLG theories have become increasingly popular to understand European Union (EU) policy‐making and interactions between national, sub‐national and EU levels. At the same time, principles of bounded rationality are entering the public policy debate, highlighting the role of cognitive biases in policy formation. However, these two developments have been separate, as bounded rationality has been little used in EU studies. The article therefore proposes a framework integrating the two lenses. This sheds new light on the optimal allocation of tasks between EU and national levels, given the prevalence of different cognitive biases at each level. Findings are that EU‐level policy‐making can be hampered by availability heuristics and undefined preferences, whilst national policy‐making is prone to zero‐sum bias and myopia. Insights are applied to research policy as an example, helping to explain obstacles to EU integration in this area.

Ligand Identification in CryoEM and X-ray Maps Using Deep Learning.

Accurately identifying ligands plays a crucial role in the process of structure-guided drug design. Based on density maps from X-ray diffraction or cryogenic-sample electron microscopy (cryoEM), scientists verify whether small-molecule ligands bind to active sites of interest. However, the interpretation of density maps is challenging, and cognitive bias can sometimes mislead investigators into modeling fictitious compounds. Ligand identification can be aided by automatic methods, but existing approaches are available only for X-ray diffraction and are based on iterative fitting or feature-engineered machine learning rather than end-to-end deep learning. Here, we propose to identify ligands using a deep learning approach that treats density maps as 3D point clouds. We show that the proposed model is on par with existing machine learning methods for X-ray crystallography while also being applicable to cryoEM density maps. Our study demonstrates that electron density map fragments can aid the training of models that can later be applied to cryoEM structures but also highlights challenges associated with the standardization of electron microscopy maps and the quality assessment of cryoEM ligands.

Gout or Deep Vein Thrombosis: Expanding Differential Diagnosis and Avoiding Anchoring Bias

Diagnostic reasoning is a critical skill for a nurse practitioner. Cognitive biases influence nurse practitioner decision making, and anchoring bias is the most common cognitive error. Cognitive error is a systematic deviation from optimal decision making or errors in thinking from reliance on mental shortcuts known as heuristics. Anchoring bias is when initial information dominates decision making, neglecting alternative diagnoses. This case describes a patient with pain, redness, and swelling in the left ankle, attributing it to a gout flare-up. To avoid anchoring on this diagnosis, reflective practice considered alternatives such as deep vein thrombosis. Reflective practice involves examining one’s experiences and adopting a critical perspective toward one’s own methods and practice. The patient was referred to the emergency department where a diagnosis of deep vein thrombosis was confirmed. This case underscores the importance of acknowledging cognitive biases and implementing debiasing strategies.

How Do You Say Your Name? Difficult-to-Pronounce Names and Labor Market Outcomes

We test for labor market discrimination based on an understudied characteristic: name fluency. Analysis of recent economics PhD job candidates indicates that name difficulty is negatively related to the probability of landing an academic or tenure-track position and research productivity of initial institutional placement. Discrimination due to name fluency is also found using experimental data from prior audit studies. Within samples of African Americans (Bertrand and Mullainathan 2004) and ethnic immigrants (Oreopoulos 2011), job applicants with less fluent names experience lower callback rates, and name complexity explains roughly between 10 and 50 percent of ethnic name penalties. The results are primarily driven by candidates with weaker résumés, suggesting that cognitive biases may contribute to the penalty of having a difficult-to-pronounce name. (JEL A11, J15, J23, J44, J71)

Opt-out vaccination in school and daycare: Reconciling parental authority and obligations.

An increasing vaccine hesitancy among parents, which has resulted in insufficient rates of immunization, provides reason to reconsider childhood vaccination practices. Studies suggest that parents' decision-making process concerning whether to vaccinate their child is highly influenced by cognitive biases. These biases can be utilized to increase vaccination uptake via changes in the choice context. This article considers childhood vaccination programmes, which involve children being vaccinated in school or daycare unless their parents actively 'opt out'. We suggest that such programmes reconcile parents' decisional authority and vaccination duties. First, opt-out childhood vaccination based in schools or daycare centres are not disrespectful of parental authority. Second, the programme aligns the default setting with a moral obligation to vaccinate one's child that most parents have.

The Psychological and Social Underpinnings of Political Belief Development

In this study we will, examine the complicated psychological and social forces that produce political attitudes. The paper reveals the twofold nature of the cognitive processes; how emotive and cognitive biases influence reasoning about politics. The findings reveal that one of the common types of directional motivated reasoning is one in which the pre-held belief impacts the treatment of political information, which in turn results in biased assessment of political personalities and issues. Other than that, this research discusses the role of conversation and deliberation in the promotion of reflective political opinions. Discussion with others persuades a person to express an opinion and to listen to others that develop one's thinking of political matters. The paper also discusses the emotions, such as anxiety and anger, associated with political judgment, maintaining that such emotions distort and occlude any lucid judgment about political performance. It also reveals that scientific curiosity acts to offset such one-sidedness: "The more scientifically curious anyone is, the more open they will be to information that runs counter to pre-existing points of view, allowing them to reason more impartially." Findings underpin views that a critical thinking-open discussion environment will be highly instrumental in raising political awareness and understanding. The present study bequeaths an important understanding of the psychological mechanisms underlying the construction of political opinion and the social processes that can help consolidate or contest these opinions. Controlling these factors sets up a better ability to confront polarization and misinformation in modern political discourses

Cognitive bias undermining intellectual capital development in the scientific contexts: a study to understand origins, effects and solutions

Cognitive bias undermining intellectual capital development in the scientific contexts: a study to understand origins, effects and solutions

Order shaped by cognition. Evidence for (and against) the effect of domain-general biases on word and morpheme order

Abstract A foundational goal of linguistics has been to understand why languages look the way they do. A range of possible explanations exist – from domain-specific representations to cognition-external factors like history and grammaticalization – and all of these undoubtedly play some role. But determining exactly how these link with specific features of language remains challenging, and the role of domain-specific mechanisms has been particularly contentious. In this paper, I highlight a growing new approach, which uses artificial language experiments to link individual-level biases to cross-linguistic trends in language structure. Using word and morpheme order as case studies, I will show how a range of different paradigms and learner populations allow us to make progress on this crucial issue in linguistics. I will focus on typological trends in word and morpheme order. For some ordering trends, experimental evidence points to variation across populations, suggesting that the best explanation for these patterns likely has its root in language history and grammaticalization. In other cases, the evidence points to the role of universal but domain-general cognitive biases, like transparency and simplicity. These domain-general biases interact with linguistic representations in important ways. Taken together these studies help adjudicate between alternative explanations for a number of specific ordering patterns and suggest a new sense of domain-specificity in the evolution of language.

Perceived duration of visual stimuli contracts due to crowding.

Recent research on duration perception suggests that duration encoding is not a single general process but involves several separate processes, some of which are specific to visual modality. Moreover, different functional aspects of visual processing can influence duration perception in distinct ways. One of the most important functions of the visual system is to identify and recognize features, shapes, and objects. However, it is still unclear whether and how computations related to these processes affect duration perception. To clarify this issue, we used a spatial crowding phenomenon, which allows the dissociation of low-level feature extraction from high-level processes such as object recognition. We created letter and vernier stimuli matched for their low-level properties but different in their discriminability due to spatial crowding. Here, we show that stimuli that became more difficult to discriminate appeared shorter in duration (data collected in 2019-2023). This difference in perceived duration could not be explained by low-level stimulus properties, cognitive bias due to discriminability, or perceived stimulus onsets or offsets. These results suggest the existence of time-sensitive structures specific to visual processing of features, shapes, and objects that is affected by crowding. These findings support the notion of distributed timing mechanisms in the visual system. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

IMPACT OF BEHAVIOURAL FINANCE ON RISK PERCEPTION, PSYCHOLOGICAL BEHAVIOUR, AND FINANCIAL DECISIONS OF MOROCCAN INVESTORS

The paper deals with behavioural finance as a stream of finance challenging the principles of classical finance by adding psychology to the reasons that could explain observed anomalies within financial markets and which, at the same time, are caused by real human behaviour. The aim of this paper is to explore investors' behavioural, biases and their disturbances of rationality, focusing mostly on the factors of loss aversion, cultural influences, and overconfidence, and how these elements influence investment decisions.It is based on empirical data and behavioural experiments, which help to show how such biases deviate from efficient market theories; this work also tests some methods that can mitigate these negative effects, therefore providing insights on how to integrate the teaching of behavioural finance more effectively into the decision-making process of investors and experts within finance. Precisely, this work is aimed at attempting to provide a model of psychological behaviour for Moroccan investors, based on an investigation carried out in the field among 93 regular investors in the Casablanca Stock Exchange.The main findings of the study underline how behavioural biases deviate from predictions by efficient market theories. This paper has only focused on the specific context of Moroccan investors, yet giving insight into how psychological factors impact investment decisions through new insights into life where these financial behaviours take place.There is, hence, uniqueness to the research through the theoretical and practical approaches integrated therein, with the use of empirical data and behavioural experiments that sustain the discussion on behavioural finance. Presenting the case of Moroccan investors adds a significant contribution to proposing a context-specific model, which may bring important implications for financial decision-making within the region.

Individual decision styles as predictors for bias susceptibility and bias blind spots in managerial decisions

Purpose This paper aims to managerial decision styles, following the General Decision-Making Style Inventory, as potential predictors of individual bias awareness and bias blind spots, with a focus on the rational decision style. Design/methodology/approach The research is based on a survey of 50°C-1 level managers within Forbes 2000 companies. It explores their decision styles and their assessments of their own and others’ decision behavior. Findings The results show that the awareness of one’s own susceptibility to biases and bias blind spots is highly dependent on an individual’s (self-declared) decision style and type of cognitive bias; decision-makers with a strong tendency toward a rational or spontaneous decision style see themselves as less vulnerable to cognitive biases but also show a much stronger bias blind spot than those with a tendency toward other decision styles. Meanwhile, decision-makers with a strong tendency toward an intuitive decision style tend to recognize their own vulnerability to cognitive biases and even show a negative blind spot, thus seeing themselves as more affected by cognitive biases than others. Originality/value To date, decision styles have not been used as a lens through which to view susceptibility to cognitive biases and bias blind spots in managerial decision-making. As demonstrated in this article, decision styles can serve as predictors of individual awareness and susceptibility to cognitive biases and bias blind spots for managers.

Interplay Between Financial Literacy, Firm’s Characteristics, Behavioural Biases and Investment Choices—A Conditional Mediation Model

Individual investing decisions are crucial in determining one’s financial well-being, as these choices directly affect their financial health. The current study uses structured equation modelling based on survey data from 288 individual investors. We contribute to the growing body of literature by employing the conditional mediation model to investigate the interaction between financial literacy, firm characteristics, behavioural biases and their impact on investment choices. The study findings substantiate the critical role of a firm’s characteristics in mediating the relationship between financial literacy and investment choices. The findings highlight the importance of financial literacy in enabling investors to make informed decisions, accentuating the mediating role of a firm’s characteristics, which adds novelty to the study.

Examining Wrongful Convictions Based on Fingerprint Evidence

Fingerprint evidence has long been seen as a cornerstone of forensic science, valued for its unique traits and reliability. However, some wrongful conviction cases reveal significant flaws in how fingerprint evidence is collected, interpreted, and relied upon, highlighting its limitations. This article reviews key cases like those of Brandon Mayfield, Stephen Cowans, and Shirley McKie, where mistaken interpretations led to serious injustices. Contributing factors to these erroneous convictions include unclear or incomplete prints, personal biases, laboratory errors, and systemic issues within fingerprint databases. Moreover, cognitive biases can influence analysts' judgments, especially in high-stress scenarios. To improve accuracy and ensure justice, the forensic field must refine evidence collection techniques, enhance examiner training, establish reliable databases, include independent witnesses in searches and seizures, record processes with video documentation from scene of crime to the forensic laboratory, and support fingerprint evidence with additional methods along with improved protocols, blind testing, and independent verification to mitigate risks and preserve the reliability of fingerprint evidence in the justice system. While fingerprints remain vital in forensic investigations, it’s crucial to reevaluate their use to prevent future wrongful convictions.

The relationship between mindfulness and childhood trauma with suicide: The mediating role of cognitive bias

The purpose of this study is to investigate the relationship between mindfulness, childhood trauma, and suicide, specifically focusing on the mediating role of cognitive bias. Suicide is a pressing issue that poses a significant threat to public health in society, and understanding the factors that contribute to it is crucial. The research design employed in this study is a correlation-based structural equation model. A total of 370 students from the second level of secondary school in Iran city were selected as participants using an available sampling method during the academic year of 2023. To gather data, several questionnaires were utilized, including the Kentucky Mindfulness Questionnaire, Bernstein et al.'s Childhood Trauma Questionnaire (1994), Hammachi and Ozturk's Cognitive Bias Questionnaire (2004), and the Multi-attitude Suicidal Tendency Questionnaire (MAST). Data analysis was conducted using SPSS-23 and Amos software, encompassing both descriptive and inferential levels. The findings of this research revealed several significant relationships. Firstly, there is a positive and significant direct path from childhood trauma to cognitive bias. Secondly, mindfulness has a negative and significant direct path to cognitive bias. Thirdly, childhood trauma has a direct and significant path to suicide. Additionally, cognitive bias has a positive and significant path to suicidality, while mindfulness has a negative and significant path to suicide. Moreover, there are positive and significant indirect paths from suicide to childhood trauma and negative and significant indirect paths from suicide to mindfulness. In conclusion, this study highlights the importance of mindfulness and cognitive bias as variables related to adolescent suicide. Adolescents who have experienced childhood trauma are more likely to consider suicide as a solution when faced with life problems. These findings emphasize the need for interventions and support systems that address mindfulness, cognitive bias, and childhood trauma to prevent and mitigate the risk of suicide among adolescents.

Cultural theory and political philosophy: Why cognitive biases toward ambiguous risk explain both beliefs about nature's resilience and political preferences regarding the organization of society.

Many studies have observed a correlation between beliefs regarding nature's resilience and (political) preferences regarding the organization of society. Liberal-egalitarians, for example, generally believe nature to be much more fragile than libertarians, who believe nature to be much more resilient. Cultural theory explains this correlation by the idea that people are only able to see those risks that fit their preferred organization of society. This article offers an alternative, second explanation for the observed correlation: Both beliefs regarding nature's resilience and political preferences can be explained by the same cognitive biases toward ambiguous risk, that is, dispositions determining our expectations regarding the possible state of affairs resulting from our acts and their probabilities. This has consequences for political philosophy and the psychology of risk. In particular, there is a knowledge gap in psychology regarding the cognitive biases underlying the belief that despite ambiguity, experts can determine safe limits for human impacts on the environment.

Behavioral Economics and Stock Market Decision-Making: Investor Biases and Investment Strategies

This study examines the application of behavioral economics to stock market decision-making, focusing on common cognitive biases of investors and their impact on investment decisions. Unlike the complete rationality assumed in traditional economics, behavioral economics reveals the irrational behaviors that investors exhibit when facing risks and uncertainties, such as overconfidence, loss aversion, and herd effect. By examining classical theories such as prospect theory, loss aversion, and the anchoring effect, as well as specific case studies such as the 2008 global financial crisis, this study aims to reveal how these psychological biases affect investors’ decision-making process. Further, this study examines how behavioral economics theories can be used to improve investment strategies by recommending methods such as low volatility investment strategies to help investors make more rational and effective investment choices in a complex market environment. Through in-depth analysis of the core theories and cases of behavioral economics, investors are better able to identify biases in the decision-making process, thereby optimizing their investment decisions and improving long-term investment returns.

Cognitive Biases in Street‐Level Resolutions: The Case of Multiple Claims in Tax Disputes

ABSTRACTCognitive biases are an integral part of human conduct. However, we know little about how such biases affect street‐level bureaucrats' decision‐making. Without such an understanding, we might not have a complete picture about how street‐level bureaucrats make decisions. This incomplete picture can lead to the faulty implementation of public policy. This study focuses on cognitive biases that can impact decision‐makers faced with multiple claims. Using real‐world rulings made over 15 years by lower court judges in civil tax disputes, the findings reveal a positive association between the making of multiple claims by citizens in disputes with the state and the deciders' tendency to rule in their favor, especially when the ruling can be appealed. The findings also imply that the presentation of multiple claims can better the citizens' odds of receiving a favorable ruling. Policymakers who want to avoid such outcomes should take this factor into consideration.

A Critical Study of Psychology of Retail Investors

This research critically examines the psychology of retail investors, focusing on the behavioural finance approach to investment decision-making. Behavioral finance challenges the traditional assumption that investors are always rational, proposing instead that psychological, social, and cultural factors influence financial behaviours. The study aims to explore how demographic factors such as gender, age, and investment experience, along with macroeconomic conditions like interest rates and inflation, shape retail investors' decision-making processes. By analysing both quantitative and qualitative data from surveys and questionnaires, the study seeks to uncover patterns in how emotions, cognitive biases, and social networks affect investment choices across different groups. The scope of this research extends to identifying significant variations in investment behaviour based on demographics and cultural influences. Moreover, the study will test hypotheses related to gender differences in the influence of peers and interest rate changes on investment decisions. Through a mixed-methods approach, this research aspires to provide valuable insights for financial institutions and individual investors, enhancing their understanding of the psychological drivers behind market behaviour and investment strategies.