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  1. Elementary probabilistic operations: a framework for probabilistic reasoning.Siegfried Macho & Thomas Ledermann - 2024 - Thinking and Reasoning 30 (2):259-300.
    The framework of elementary probabilistic operations (EPO) explains the structure of elementary probabilistic reasoning tasks as well as people’s performance on these tasks. The framework comprises three components: (a) Three types of probabilities: joint, marginal, and conditional probabilities; (b) three elementary probabilistic operations: combination, marginalization, and conditioning, and (c) quantitative inference schemas implementing the EPO. The formal part of the EPO framework is a computational level theory that provides a problem space representation and a classification of elementary probabilistic problems based (...)
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  • Subtracting “ought” from “is”: Descriptivism versus normativism in the study of human thinking.Shira Elqayam & Jonathan St B. T. Evans - 2011 - Behavioral and Brain Sciences 34 (5):233-248.
    We propose a critique ofnormativism, defined as the idea that human thinking reflects a normative system against which it should be measured and judged. We analyze the methodological problems associated with normativism, proposing that it invites the controversial “is-ought” inference, much contested in the philosophical literature. This problem is triggered when there are competing normative accounts (the arbitration problem), as empirical evidence can help arbitrate between descriptive theories, but not between normative systems. Drawing on linguistics as a model, we propose (...)
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  • A Leadership Perspective on Decision Making.Marcus Selart (ed.) - 2010 - Cappelen Academic Publishers.
    This book is concerned with helping you improve your approach to decision-making. The author examines judgement in a selection of managerial contexts and provides important understanding that can help you make better leadership decisions. The book also pinpoints the in-house politics of organisational decision-making. Drawing on the very latest research, it introduces practical techniques that show you how to analyse and develop your own decision-making style. It will help you to deliver sharp and insightful analyses of your business and develop (...)
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  • Issues for the next generation of base rate research.Jonathan J. Koehler - 1996 - Behavioral and Brain Sciences 19 (1):41-53.
    Commentators agree that simple conclusions about a general base rate fallacy are not appropriate. It is more constructive to identify conditions under which base rates are differentially weighted. Commentators also agree that improving the ecological validity of the research is desirable, although this is less important to those interested exclusively in psychological processes. The philosophers and ecologists among the commentators offer a kinder perspective on base rate reasoning than the psychologists. My own perspective is that the interesting questions (both psychological (...)
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  • The base rate fallacy reconsidered: Descriptive, normative, and methodological challenges.Jonathan J. Koehler - 1996 - Behavioral and Brain Sciences 19 (1):1-17.
    We have been oversold on the base rate fallacy in probabilistic judgment from an empirical, normative, and methodological standpoint. At the empirical level, a thorough examination of the base rate literature (including the famous lawyer–engineer problem) does not support the conventional wisdom that people routinely ignore base rates. Quite the contrary, the literature shows that base rates are almost always used and that their degree of use depends on task structure and representation. Specifically, base rates play a relatively larger role (...)
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  • Base rates do not constrain nonprobability judgments.Paul D. Windschitl & Gary L. Wells - 1996 - Behavioral and Brain Sciences 19 (1):40-41.
    Base rates have no necessary relation to judgments that are not themselves probabilities. There is no logical imperative, for instance, that behavioral base rates must affect causal attributions or that base rate information should affect judgments of legal liability. Decision theorists should be cautious in arguing that base rates place normative constraints on judgments of anything other than posterior probabilities.
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  • The perils of reconstructive remembering and the value of representative design.Kim J. Vicente - 1996 - Behavioral and Brain Sciences 19 (1):40-40.
    Abstract(1) The miscitations of seminal experiments in the base rate literature adds to the existing database of systematic miscitations of wellknown psychological experiments. These miscitations may be caused by a process of reconstructive remembering. (2) Representative design should be the methodological core of Koehler's call for ecologically valid research. This approach can benefit both basic and applied research.
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  • Throwing out the baby with the bathwater? Let's not overstate the overselling of the base rate fallacy.Cynthia J. Thomsen & Eugene Borgida - 1996 - Behavioral and Brain Sciences 19 (1):39-40.
    Koehler's summary and critique of research on the base rate fallacy is cogent and persuasive. However, he may have overstated the case, and his suggestions for future research may be too restrictive. We agree that methodological approaches to this topic should be broadened, but we argue that experimental laboratory research and the Bayesian normative standard are useful and should not be abandoned.
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  • Where do you stand on the base rate issue?Douglas Stalker - 1996 - Behavioral and Brain Sciences 19 (1):38-39.
    This commentary presents a self-assessment inventory that will allow readers to determine their own attitude toward the base rate fallacy and its literature. The inventory is scientifically valid but not Medicare/Medicaid reimbursable.
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  • The implicit use of base rates in experiential and ecologically valid tasks.Barbara A. Spellman - 1996 - Behavioral and Brain Sciences 19 (1):38-38.
    When base rates are learned and used in an experiential manner subjects show better base rate use, perhaps because the implicit learning system is engaged. A causal framework in which base rates are relevant might also be necessary. Humans might thus perform better on more ecologically valid tasks, which are likely to contain those three components.
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  • Improving decision accuracy where base rates matter: The prediction of violent recidivism.Vernon L. Quinsey - 1996 - Behavioral and Brain Sciences 19 (1):37-38.
    Base rates are vital in predicting violent criminal recidivism. However, both lay people given simulated prediction tasks and professionals milking real life predictions appear insensitive to variations in the base rate of violent recidivism. Although there are techniques to help decision makers attend to base rates, increased decision accuracy is better sought in improved actuarial models as opposed to improved clinicians.
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  • Conservatism revisited: Base rates, prior probabilities, and averaging strategies.Nancy Paule Melone & Timothy W. McGuire - 1996 - Behavioral and Brain Sciences 19 (1):36-37.
    Consistent with Koehler's position, we propose a generalization of the base rate fallacy and earlier conservatism literatures. In studies using both traditional tasks and new tasks based on ecologically valid base rates, our subjects typically underweight individuating information at least as much as they underweight base rates. The implications of cue consistency for averaging heuristics are discussed.
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  • How are base rates used? Interactive and group effects.Peter J. McLeod & Margo Watt - 1996 - Behavioral and Brain Sciences 19 (1):35-36.
    Koehler is right that base rate information is used, to various degrees, both in laboratory tasks and in everyday life. However, it is not time to turn our backs on laboratory tasks and focus solely on ecologically valid decision making. Tightly controlled experimental data are still needed to understandhowbase rate information is used, and how this varies among groups.
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  • Which reference class is evoked?Craig R. M. McKenzie & Jack B. Soll - 1996 - Behavioral and Brain Sciences 19 (1):34-35.
    Any instance (i.e., event, behavior, trait) belongs to infinitely many reference classes, hence there are infinitely many base rates from which to choose. People clearly do not entertain all possible reference classes, however, so something must be limiting the search space. We suggest some possible mechanisms that determine which reference class is evoked for the purpose of judgment and decision.
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  • First things first: What is a base rate?Clark McCauley - 1996 - Behavioral and Brain Sciences 19 (1):33-34.
    The fallacy beneath the base rate fallacy is that we know what a base rate is. We talk as if base rates and individuating information were two different kinds of information. From a Bayesian perspective, however, the only difference between base rate and individuating information is – which comes first.
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  • Nuancing should not imply neglecting.Howard Margolis - 1996 - Behavioral and Brain Sciences 19 (1):32-33.
    Koehler is right to argue for more nuanced interpretation of base rate anomalies. These anomalies are best understood in relation to a broader class of cognitive anomalies, which are important for theory and practice. Recognizing a need for more nuanced analysis should not be taken as a license for treating the effects as “explained away.”.
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  • Fallacy and controversy about base rates.Isaac Levi - 1996 - Behavioral and Brain Sciences 19 (1):31-32.
    Koehler's target article attempts a balanced view of the relevance of knowledge of base rates to judgments of subjective or credal probability, but he is not sensitive enough to the difference between requiring and permitting the equation of probability judgments with base rates, the interaction between precision of base rate and reference class information, and the possibility of indeterminate probability judgment.
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  • Probabilistic fallacies.Henry E. Kyburg - 1996 - Behavioral and Brain Sciences 19 (1):31-31.
    Two distinct issues are sometimes confused in the base rate literature: Why do people make logical mistakes in the assessment of probabilities? and why do subjects not use base rates the way experimenters do? The latter problem may often reflect differences in an implicit reference class rather than a disinclination to update a base rate by Bayes' theorem. Also important are considerations concerning the interaction of several potentially relevant base rates.
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  • Studying the use of base rates: Normal science or shifting paradigm?Joachim Krueger - 1996 - Behavioral and Brain Sciences 19 (1):30-30.
    The underutilization of base rates is a consistent finding. The strong claim that base rates are ignored has been rejected and this needs no further emphasis. Following the path of “normal science,” research examines the conditions predicting changes in the degree of underutilization. A scientific revolution that might dethrone the heuristics and biases paradigm is not in sight.
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  • Base rates in the applied domain of accounting.Lisa Koonce - 1996 - Behavioral and Brain Sciences 19 (1):29-30.
    Koehler's call for a reanalysis of the base rate fallacy is particularly important in the applied domain of accounting, since base rate data appear to be an important input for many accounting tasks. In this commentary I discuss the use of base rates in accounting and explain why more flexible standards of performance are important when judging the use of base rates.
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  • Critical and natural sensitivity to base rates.Gernot D. Kleiter - 1996 - Behavioral and Brain Sciences 19 (1):27-29.
    This commentary discusses three points: (1) The implications of the fact that it is rational to ignore base rates if probabilities are estimated by frequencies from samples without missing data (natural sampling); (2) second order probabilities distributions are a plausible way to model imprecise probabilities; and (3) Bayesian networks represent a normative reference for multi-cue models of probabilistic inference.
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  • P(D/H), P(D/˜H), and base rate consideration.Yechiel Klar - 1996 - Behavioral and Brain Sciences 19 (1):26-27.
    Failure to consider base rate is regarded as potentially hazardous, mainly because its consideration is assumed to be determined solely by P(H/D), the probability of the individuating data if the hypothesis is true, and not at all by P(D/˜H), the probability if the hypothesis is false. However, when P(D/˜H) is unconfounded from P(D/H), it turns out to be the stronger determinant of base rate consideration.
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  • The base rate controversy: Is the glass half-full or half-empty?Gideon Keren & Lambert J. Thijs - 1996 - Behavioral and Brain Sciences 19 (1):26-26.
    Setting the two hypotheses of complete neglect and full use of base rates against each other is inappropriate. The proper question concerns the degree to which base rates are used (or neglected), and under what conditions. We outline alternative approaches and recommend regression analysis. Koehler's conclusion that we have been oversold on the base rate fallacy seems to be premature.
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  • Physicians neglect base rates, and it matters.Robert M. Hamm - 1996 - Behavioral and Brain Sciences 19 (1):25-26.
    A recent study showed physicians' reasoning about a realistic case to be ignorant of base rate. It also showed physicians interpreting information pertinent to base rate differently, depending on whether it was presented early or late in the case. Although these adult reasoners might do better if given hints through talk of relative frequencies, this would not prove that they had no problem of base rate neglect.
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  • Judgment under uncertainty: Evolution may not favor a probabilistic calculus.Lev R. Ginzburg, Charles Janson & Scott Ferson - 1996 - Behavioral and Brain Sciences 19 (1):24-25.
    The environment in which humans evolved is strongly and positively autocorrelated in space and time. Probabilistic judgments based on the assumption of independence may not yield evolutionarily adaptive behavior. A number of “faults” of human reasoning are not faulty under fuzzy arithmetic, a nonprobabilistic calculus of reasoning under uncertainty that may be closer to that underlying human decision making.
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  • Why do frequency formats improve Bayesian reasoning? Cognitive algorithms work on information, which needs representation.Gerd Gigerenzer - 1996 - Behavioral and Brain Sciences 19 (1):23-24.
    In contrast to traditional research on base-rate neglect, an ecologically-oriented research program would analyze the correspondence between cognitive algorithms and the nature of information in the environment. Bayesian computations turn out to be simpler when information is represented in frequency formats as opposed to the probability formats used in previous research. Frequency formats often enable even uninstructed subjects to perform Bayesian reasoning.
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  • Base rates, stereotypes, and judgmental accuracy.David C. Funder - 1996 - Behavioral and Brain Sciences 19 (1):22-23.
    The base rate literature has an opposite twin in the social psychological literature on stereotypes, which concludes that people use their preexisting beliefs about probabilistic category attributes too much, rather than not enough. This ironic discrepancy arises because beliefs about category attributes enhance accuracy when the beliefs are accurate and diminish accuracy when they are not. To determine the accuracy of base rate/stereotype beliefs requires research that addresses specific content.
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  • How to reconsider the base rate fallacy without forgetting the concept of systematic processing.Pablo Fernandez-Berrocal, Julian Almaraz & Susana Segura - 1996 - Behavioral and Brain Sciences 19 (1):21-22.
    Abstract(1) There is enough contradictory evidence regarding the role of base rates in category learning to confirm the nonexistence of biases in such learning. (2) It is not always possible to activate statistical reasoning through frequentist representation. (3) It is necessary to use the concept of systematic processing in reconsidering the published work on biases.
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  • Base rates, experience, and the big picture.Stephen E. Edgell, Robert M. Roe & Clayton H. Dodd - 1996 - Behavioral and Brain Sciences 19 (1):21-21.
    The important question is how people process probabilistic information, not whether they process it in accordance with a normative model that we never should have expected them to be capable of following. Experience is not the cure, as widely thought, to problems with utilizing base rate information.
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  • The purpose of experiments: Ecological validity versus comparing hypotheses.Robyn M. Dawes - 1996 - Behavioral and Brain Sciences 19 (1):20-20.
    As illustrated by research Koehler himself cites (Dawes et al. 1993), the purpose of experiments is to choose between contrasting explanations of past observations – rather than to seek statistical generalizations about the prevalence of effects. True external validity results not from sampling various problems that are representative of “real world” decision making, but from reproducing an effect in the laboratory with minimal contamination (including from real world factors).
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  • Are base rates a natural category of information?Terry Connolly - 1996 - Behavioral and Brain Sciences 19 (1):19-20.
    The base rate fallacy is directly dependent on a particular judgment paradigm in which information may be unambiguously designated as either “base rate” or “individuating,” and in which subjects make two-stage sequential judgments. The paradigm may be a poor match for real world settings, and the fallacy may thus be undefined for natural ecologies of judgment.
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  • The need for a theory of evidential weight.L. Jonathan Cohen - 1996 - Behavioral and Brain Sciences 19 (1):18-19.
    There is a familiar risk of antinomy if fromxisEand p(xisH/xisE) =rit is permissible to infer p(xisH) =r, and what Carnap (1950) called “The requirement of total evidence” will not prevent such antinomies satisfactorily. What is needed instead is a properly developed theory of evidential weight.
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  • The implications of Koehler's approach for fact finding.Craig R. Callen - 1996 - Behavioral and Brain Sciences 19 (1):18-18.
    Koehler's work will assist the effort to understand legal fact finding. It leaves two questions somewhat open: (i) the extent to which empirical research can measure correctness of fact-finding, a function that involves the resolution of normative questions and (ii) the standards judges should use in the absence of the research he advocates.
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  • Cognitive algebra versus representativeness heuristic.Norman H. Anderson - 1996 - Behavioral and Brain Sciences 19 (1):17-17.
    Cognitive algebra strongly disproved the representativeness heuristic almost before it was published; and therewith it also disproved the base rate fallacy. Cognitive algebra provides a theoretical foundation for judgment-decision theory through its joint solution to the two fundamental problems – true measurement of subjective values, and cognitive rules for integration of multiple determinants.
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  • Decision processes in organizations.Marcus Selart - 2010 - In A Leadership Perspective on Decision Making. Cappelen Academic Publishers. pp. 17-43.
    In this chapter, it is demonstrated that the concepts of leadership and organization are closely linked. A leader should initially get to know the organizational culture as well as possible. Such a culture can for example be authoritarian and conformist or innovative and progressive in nature. The assumption is that leaders are influenced by their own culture. Strategic decisions are characterized by the fact that they are new, complex and open in nature, and being able to develop a strategy is (...)
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  • Facilitating leadership decisions.Marcus Selart - 2010 - In A Leadership Perspective on Decision Making. Cappelen Academic Publishers. pp. 73-94.
    This chapter illustrates that in order to reach a decision a leader must decide which persons should be involved in the process and when. A relatively common method of involving others is delegating the decision to a group. A main objective of this is often to generate as many innovative ideas as possible, and different techniques can be employed for this, including brainstorming. The proposal generated must then be validated by the group using different criteria on the basis of which (...)
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  • Implementing leadership decisions.Marcus Selart - 2010 - In A Leadership Perspective on Decision Making. Cappelen Academic Publishers. pp. 123-143.
    In this chapter it is demonstrated that the way in which leaders implement a decision largely depends on the nature of it, that is, whether it is strategic or not. Leaders must be as open as possible and not withhold information from the persons involved in the process. Therefore, they should distribute as much relevant information as possible to meeting participants before a meeting. At the same time, they must be able to steer the process. It is not unusual for (...)
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  • Structuring the decision process.Marcus Selart - 2010 - In A Leadership Perspective on Decision Making. Cappelen Academic Publishers. pp. 97-120.
    This chapter includes a discussion of leadership decisions and stress. Many leaders are daily exposed to stress when they must make decisions, and there are often social reasons for this. Social standards suggest that a leader must be proactive and make decisions and not flee the situation. Conflict often creates stress in decision-making situations. It is important for leaders to understand that it is not stress in itself that leads to bad decisions, rather, bad decisions may be the result of (...)
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  • Analyzing leadership decisions.Marcus Selart - 2010 - In A Leadership Perspective on Decision Making. Cappelen Academic Publishers. pp. 47-70.
    In this chapter it is pointed out that leaders who make decisions normally rely on both their intuition and their analytical thinking. Modern research shows that intuitive thinking has the potential to support the analytical, if used properly. Leaders must therefore be aware of the possibilities and limitations of intuition. Fresh thinking and innovation are key elements in leadership analysis, thus creative problem-solving is an important complement to traditional leadership thinking. Creative leaders work extensively with both intuition and logic. They (...)
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  • Developing as a leader and decison maker.Marcus Selart - 2010 - In A Leadership Perspective on Decision Making. Cappelen Academic Publishers. pp. 147-176.
    This chapter makes it clear that a significant element of both leadership and decision making is the development aspect. Leaders develop in their decision making by being confronted with difficult decision situations. However, they also develop through various forms of systemized training and education. Different leaders tend to develop in different directions. For this reason, one can identify a number of key leadership styles based on different ways of leading. These different styles are appropriate for various types of organization. Some (...)
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  • Explanatory Judgment, Probability, and Abductive Inference.Matteo Colombo, Marie Postma & Jan Sprenger - 2016 - In A. Papafragou, D. Grodner, D. Mirman & J. C. Trueswell (eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society (pp. 432-437) Cognitive Science Society. Cognitive Science Society. pp. 432-437.
    Abductive reasoning assigns special status to the explanatory power of a hypothesis. But how do people make explanatory judgments? Our study clarifies this issue by asking: How does the explanatory power of a hypothesis cohere with other cognitive factors? How does probabilistic information affect explanatory judgments? In order to answer these questions, we conducted an experiment with 671 participants. Their task was to make judgments about a potentially explanatory hypothesis and its cognitive virtues. In the responses, we isolated three constructs: (...)
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  • An Engine, Not a Pyramid.Armando Menéndez Viso & Antonio Casado da Rocha - 2009 - American Journal of Bioethics 9 (6-7):81-83.
    The target article by Alexander Kon (2009) offers an excellent conceptual toolkit to analyze the current literature on empirical bioethics, a topic which has attracted so much attention in the bioe...
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  • Children can solve Bayesian problems: the role of representation in mental computation.Liqi Zhu & Gerd Gigerenzer - 2006 - Cognition 98 (3):287-308.
  • Clarifying the relationship between coherence and accuracy in probability judgments.Jian-Qiao Zhu, Philip W. S. Newall, Joakim Sundh, Nick Chater & Adam N. Sanborn - 2022 - Cognition 223 (C):105022.
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  • The relation between order effects and frequency learning in tactical decision making.Jiajie Zhang, Todd R. Johnson & Hongbin Wang - 1998 - Thinking and Reasoning 4 (2):123-145.
    This article presents three experiments that examine the relation between order effects and frequency learning, with the following results. First, when frequencies of occurrence are presented as sequences of real events, base rates can be learned and used with a high degree of accuracy. However, conditional probabilities for multiple sequentially presented evidence items cannot be completely learned, due to the distortion of a recency order effect for actual decisions. Second, there is also a recency order effect for belief evaluations, which (...)
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  • ‘The Thorny and Arduous Path of Moral Progress’: Moral Psychology and Moral Enhancement.Chris Zarpentine - 2013 - Neuroethics 6 (1):141-153.
    The moral enhancement of humans by biological or genetic means has recently been urged as a response to the pressing concerns facing human civilization. In this paper, I argue that proponents of biological moral enhancement have misrepresented the facts of human moral psychology. As a result, the likely effectiveness of traditional methods of moral enhancement has been underestimated, relative to biological or genetic means. I review arguments in favor of biological moral enhancement and argue that the complexity of moral psychology (...)
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  • The Effects of Working Memory and Probability Format on Bayesian Reasoning.Lin Yin, Zifu Shi, Zixiang Liao, Ting Tang, Yuntian Xie & Shun Peng - 2020 - Frontiers in Psychology 11.
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  • Information Processing: The Language and Analytical Tools for Cognitive Psychology in the Information Age.Aiping Xiong & Robert W. Proctor - 2018 - Frontiers in Psychology 9:362645.
    The information age can be dated to the work of Norbert Wiener and Claude Shannon in the 1940s. Their work on cybernetics and information theory, and many subsequent developments, had a profound influence on reshaping the field of psychology from what it was prior to the 1950s. Contemporaneously, advances also occurred in experimental design and inferential statistical testing stemming from the work of Ronald Fisher, Jerzy Neyman, and Egon Pearson. These interdisciplinary advances from outside of psychology provided the conceptual and (...)
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  • Adaptive redundancy, denominator neglect, and the base-rate fallacy.Christopher R. Wolfe - 2007 - Behavioral and Brain Sciences 30 (3):286-287.
    Homo sapiens have evolved a dual-process cognitive architecture that is adaptive but prone to systematic errors. Fuzzy-trace theory predicts that nested or overlapping class-inclusion relations create processing interference, resulting in denominator neglect: behaving as if one ignores marginal denominators in a 2 × 2 table. Ignoring marginal denominators leads to fallacies in base-rate problems and conjunctive and disjunctive probability estimates.
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  • Cognitive cooperation.David Sloan Wilson, John J. Timmel & Ralph R. Miller - 2004 - Human Nature 15 (3):225-250.
    Cooperation can evolve in the context of cognitive activities such as perception, attention, memory, and decision making, in addition to physical activities such as hunting, gathering, warfare, and childcare. The social insects are well known to cooperate on both physical and cognitive tasks, but the idea of cognitive cooperation in humans has not received widespread attention or systematic study. The traditional psychological literature often gives the impression that groups are dysfunctional cognitive units, while evolutionary psychologists have so far studied cognition (...)
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