David Lagnado

Biographic Data

ID1296327
NAMEDavid Lagnado
GIVEN NAMESDavid
FAMILY NAMELagnado
SIGNATURELAGNADO D
AFFILIATIONSUniversity College London
VERIFIEDNo
TOTAL WORKS11
TOTAL CITATIONS8
WORKS AS AUTHOR11
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2009
LATEST PUBLICATION YEAR2026
H-INDEX2

  • Exploring the use of AI-generated counterfactual chest X-rays to enhance diagnostic learning in medical education

    Open AccessGreta Mohr, Yifei Zhu et al.ARTICLEBMC Medical Education2026

    Accurate interpretation of chest X-rays is a critical clinical skill, yet radiology training in medical education remains limited and often fails to provide broad exposure to a wide variety of conditions, including those that are rare, subtle, or easily confused with one another. Although artificial intelligence (AI) has shown impressive performance in medical image classification, its potential to actively improve clinical education has not been…

  • Belief updating in the face of misinformation

    Open AccessGreta Arancia Sanna, David Lagnado et al.ARTICLECognition2025

    This paper investigates the process of belief updating in the presence of contradictory and potentially misleading information, focusing on the impact of source reliability. Across four experiments, we examined how individuals revise their beliefs when confronted with retracted information and varying source credibility. Experiment 1 revealed that participants discounted retracted information and reverted to their prior beliefs, in contrast to th…

  • The problem of dependency

    Open AccessToby D Pilditch, Ulrike Hahn et al.ARTICLESynthese2025References: 59

    It is a wide-spread assumption that multiple pieces of evidence, whether they involve measurements or testimony, provide stronger evidential support when they are independent than when they are not. The standard view is that non-independence creates redundancy and leads to over-confidence (see e.g., Soll in Cogn Psychol 38(2):317–346, 1999; Nisbett and Ross in Human inference: strategies and shortcomings of social judgment. Prentice Hall, New Jer…

  • Le raisonnement probatoire et la « mise en récit » des preuves

    Marion Vorms, David Lagnado et al.ARTICLEDroit et société2022References: 2

    Selon le story-model , théorie psychologique du raisonnement et de la prise de décision des jurés proposée par Nancy Pennington et Reid Hastie dans les années 1980, les jurés d’un procès criminel interprètent et évaluent les preuves qui leur sont présentées au moyen d’une représentation mentale des événements – un récit –, plutôt que par un calcul combinatoire du poids des éléments à charge et à décharge. C’est avant tout la cohérence et la compl…

  • Causal judgments about atypical actions are influenced by agents' epistemic states

    Open AccessLara Kirfel, David Lagnado et al.ARTICLECognition2021

  • Strategies for selecting and evaluating information

    Open AccessAlice Liefgreen, Toby D Pilditch et al.ARTICLECognitive Psychology2020

  • The propensity interpretation of probability and diagnostic split in explaining away

    Open AccessMarko Tešić, Alice Liefgreen et al.ARTICLECognitive Psychology2020

  • Dependencies in evidential reports

    Open AccessToby D Pilditch, Ulrike Hahn et al.ARTICLECognition2020

  • The Moral Foundations of Human Rights Attitudes

    Open AccessDominic Stolerman, David Lagnado et al.ARTICLEPolitical Psychology2020Cited by: 3References: 42

    Human rights are claimed to be innate and based on moral principles. Human rights attitudes have been shown to be related to political ideology, but there have been few studies investigating their relationship with morality. Using moral foundations theory, we examine whether morals can predict human rights attitudes across two studies. The first study used questionnaires to show that human rights are based exclusively on individualizing moral fou…

  • Causality, the critical but often ignored component guiding us through a world of uncertainties in risk assessment

    Martin Neil, Norman Fenton et al.ARTICLEJournal of Risk Research2019Cited by: 5References: 1

    The idea of uncertainty analyses, which typically involves quantification, is to protect practitioners and consumers from drawing unsubstantiated conclusions from scientific assessments of risk. The importance of causal modelling in this process – along with the inference methods associated with such modelling – is now increasingly widely recognized; yet organizations responsible for policy on uncertainty and risk in critical domains have general…

  • Feelings of control

    Open AccessJames W Moore, David Lagnado et al.ARTICLECognition2009