A Logical Defence of Maher's Model of Polythematic Delusions
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The Status Quo Bias and Decisions to Withdraw Life-Sustaining Treatment
HUMANITIES | MEDICINE AND SOCIETY The status quo bias and decisions to withdraw life-sustaining treatment n Cite as: CMAJ 2018 March 5;190:E265-7. doi: 10.1503/cmaj.171005 t’s not uncommon for physicians and impasse. One factor that hasn’t been host of psychological phenomena that surrogate decision-makers to disagree studied yet is the role that cognitive cause people to make irrational deci- about life-sustaining treatment for biases might play in surrogate decision- sions, referred to as “cognitive biases.” Iincapacitated patients. Several studies making regarding withdrawal of life- One cognitive bias that is particularly show physicians perceive that nonbenefi- sustaining treatment. Understanding the worth exploring in the context of surrogate cial treatment is provided quite frequently role that these biases might play may decisions regarding life-sustaining treat- in their intensive care units. Palda and col- help improve communication between ment is the status quo bias. This bias, a leagues,1 for example, found that 87% of clinicians and surrogates when these con- decision-maker’s preference for the cur- physicians believed that futile treatment flicts arise. rent state of affairs,3 has been shown to had been provided in their ICU within the influence decision-making in a wide array previous year. (The authors in this study Status quo bias of contexts. For example, it has been cited equated “futile” with “nonbeneficial,” The classic model of human decision- as a mechanism to explain patient inertia defined as a treatment “that offers no rea- making is the rational choice or “rational (why patients have difficulty changing sonable hope of recovery or improvement, actor” model, the view that human beings their behaviour to improve their health), or because the patient is permanently will choose the option that has the best low organ-donation rates, low retirement- unable to experience any benefit.”) chance of satisfying their preferences. -
A Task-Based Taxonomy of Cognitive Biases for Information Visualization
A Task-based Taxonomy of Cognitive Biases for Information Visualization Evanthia Dimara, Steven Franconeri, Catherine Plaisant, Anastasia Bezerianos, and Pierre Dragicevic Three kinds of limitations The Computer The Display 2 Three kinds of limitations The Computer The Display The Human 3 Three kinds of limitations: humans • Human vision ️ has limitations • Human reasoning 易 has limitations The Human 4 ️Perceptual bias Magnitude estimation 5 ️Perceptual bias Magnitude estimation Color perception 6 易 Cognitive bias Behaviors when humans consistently behave irrationally Pohl’s criteria distilled: • Are predictable and consistent • People are unaware they’re doing them • Are not misunderstandings 7 Ambiguity effect, Anchoring or focalism, Anthropocentric thinking, Anthropomorphism or personification, Attentional bias, Attribute substitution, Automation bias, Availability heuristic, Availability cascade, Backfire effect, Bandwagon effect, Base rate fallacy or Base rate neglect, Belief bias, Ben Franklin effect, Berkson's paradox, Bias blind spot, Choice-supportive bias, Clustering illusion, Compassion fade, Confirmation bias, Congruence bias, Conjunction fallacy, Conservatism (belief revision), Continued influence effect, Contrast effect, Courtesy bias, Curse of knowledge, Declinism, Decoy effect, Default effect, Denomination effect, Disposition effect, Distinction bias, Dread aversion, Dunning–Kruger effect, Duration neglect, Empathy gap, End-of-history illusion, Endowment effect, Exaggerated expectation, Experimenter's or expectation bias, -
Cognitive Bias Mitigation: How to Make Decision-Making More Rational?
Cognitive Bias Mitigation: How to make decision-making more rational? Abstract Cognitive biases distort judgement and adversely impact decision-making, which results in economic inefficiencies. Initial attempts to mitigate these biases met with little success. However, recent studies which used computer games and educational videos to train people to avoid biases (Clegg et al., 2014; Morewedge et al., 2015) showed that this form of training reduced selected cognitive biases by 30 %. In this work I report results of an experiment which investigated the debiasing effects of training on confirmation bias. The debiasing training took the form of a short video which contained information about confirmation bias, its impact on judgement, and mitigation strategies. The results show that participants exhibited confirmation bias both in the selection and processing of information, and that debiasing training effectively decreased the level of confirmation bias by 33 % at the 5% significance level. Key words: Behavioural economics, cognitive bias, confirmation bias, cognitive bias mitigation, confirmation bias mitigation, debiasing JEL classification: D03, D81, Y80 1 Introduction Empirical research has documented a panoply of cognitive biases which impair human judgement and make people depart systematically from models of rational behaviour (Gilovich et al., 2002; Kahneman, 2011; Kahneman & Tversky, 1979; Pohl, 2004). Besides distorted decision-making and judgement in the areas of medicine, law, and military (Nickerson, 1998), cognitive biases can also lead to economic inefficiencies. Slovic et al. (1977) point out how they distort insurance purchases, Hyman Minsky (1982) partly blames psychological factors for economic cycles. Shefrin (2010) argues that confirmation bias and some other cognitive biases were among the significant factors leading to the global financial crisis which broke out in 2008. -
The Lightbulb Paradox: Evidence from Two Randomized Experiments
NBER WORKING PAPER SERIES THE LIGHTBULB PARADOX: EVIDENCE FROM TWO RANDOMIZED EXPERIMENTS Hunt Allcott Dmitry Taubinsky Working Paper 19713 http://www.nber.org/papers/w19713 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 December 2013 We are grateful to Raj Chetty, Lucas Davis, Stefano DellaVigna, Mushfiq Mubarak, Sendhil Mullainathan, Emmanuel Saez, Josh Schwartzstein, and other colleagues, as well as seminar audiences at the ASSA Annual Meeting, the Behavioral Economics Annual Meeting, Berkeley, the European Summer Symposium for Economic Theory, Harvard, the NBER Public Economics Meetings, Resources for the Future, Stanford, the Stanford Institute for Theoretical Economics, UCLA, the University of California Energy Institute, and the University of Chicago for constructive feedback. We thank our research assistants - Jeremiah Hair, Nina Yang, and Tiffany Yee - as well as management at the partner company, for their work on the in-store experiment. Thanks to Stefan Subias, Benjamin DiPaola, and Poom Nukulkij at GfK for their work on the TESS experiment. We are grateful to the National Science Foundation and the Sloan Foundation for financial support. Files containing code for replication, the in-store experiment protocol, and audio for the TESS experiment can be downloaded from Hunt Allcott's website. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer- reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications. © 2013 by Hunt Allcott and Dmitry Taubinsky. -
The Threat of Appearing Prejudiced and Race-Based Attentional Biases Jennifer A
PSYCHOLOGICAL SCIENCE Research Report The Threat of Appearing Prejudiced and Race-Based Attentional Biases Jennifer A. Richeson and Sophie Trawalter Department of Psychology and C2S: The Center on Social Disparities and Health at the Institute for Policy Research, Northwestern University ABSTRACT—The current work tested whether external heightened anxiety in anticipation of, as well as during, those motivation to respond without prejudice toward Blacks is interracial interactions that they are unable to avoid (Plant, associated with biased patterns of selective attention that 2004; Plant & Devine, 1998). Research by Amodio has found, reflect a threat response to Black individuals. In a dot- furthermore, that such high-EM individuals automatically probe attentional bias paradigm, White participants with evaluate Black targets more negatively than White targets, as low and high external motivation to respond without revealed by potentiated startle eye-blink amplitudes (Amodio, prejudice toward Blacks (i.e., low-EM and high-EM in- Harmon-Jones, & Devine, 2003), unlike people who are inter- dividuals, respectively) were presented with pairs of White nally motivated to respond in nonprejudiced ways toward and Black male faces that bore either neutral or happy Blacks. Taken together, this work suggests that exposure to facial expressions; on each trial, the faces were displayed Blacks automatically triggers negative affective reactions, in- for either 30 ms or 450 ms. The findings were consistent cluding heightened anxiety, in high-EM individuals. with those of previous research on threat and attention: Although Amodio’s work has begun to explore some of the High-EM participants revealed an attentional bias toward component processes that underlie differences between high- and neutral Black faces presented for 30 ms, but an attentional low-EM individuals’ affective and stereotypical evaluations of bias away from neutral Black faces presented for 450 ms. -
Attentional Bias and Subjective Risk in Hypochondriacal Concern. Polly Beth Hitchcock Louisiana State University and Agricultural & Mechanical College
Louisiana State University LSU Digital Commons LSU Historical Dissertations and Theses Graduate School 1993 Attentional Bias and Subjective Risk in Hypochondriacal Concern. Polly Beth Hitchcock Louisiana State University and Agricultural & Mechanical College Follow this and additional works at: https://digitalcommons.lsu.edu/gradschool_disstheses Recommended Citation Hitchcock, Polly Beth, "Attentional Bias and Subjective Risk in Hypochondriacal Concern." (1993). LSU Historical Dissertations and Theses. 5641. https://digitalcommons.lsu.edu/gradschool_disstheses/5641 This Dissertation is brought to you for free and open access by the Graduate School at LSU Digital Commons. It has been accepted for inclusion in LSU Historical Dissertations and Theses by an authorized administrator of LSU Digital Commons. For more information, please contact [email protected]. INFORMATION TO USERS This manuscript has been reproduced from the microfilm master. UMI films the text directly from the original or copy submitted. Thus, some thesis and dissertation copies are in typewriter face, while others may be from any type of computer printer. The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleedthrough, substandard margins, and improper alignment can adversely affect reproduction. In the unlikely event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion. Oversize materials (e.g., maps, drawings, charts) are reproduced by sectioning the original, beginning at the upper left-hand corner and continuing from left to right in equal sections with small overlaps. -
Emotional Reasoning and Parent-Based Reasoning in Normal Children
Morren, M., Muris, P., Kindt, M. Emotional reasoning and parent-based reasoning in normal children. Child Psychiatry and Human Development: 35, 2004, nr. 1, p. 3-20 Postprint Version 1.0 Journal website http://www.springerlink.com/content/105587/ Pubmed link http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dop t=Abstract&list_uids=15626322&query_hl=45&itool=pubmed_docsum DOI 10.1023/B:CHUD.0000039317.50547.e3 Address correspondence to M. Morren, Department of Medical, Clinical, and Experimental Psychology, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands; e-mail: [email protected]. Emotional Reasoning and Parent-based Reasoning in Normal Children MATTIJN MORREN, MSC; PETER MURIS, PHD; MEREL KINDT, PHD DEPARTMENT OF MEDICAL, CLINICAL AND EXPERIMENTAL PSYCHOLOGY, MAASTRICHT UNIVERSITY, THE NETHERLANDS ABSTRACT: A previous study by Muris, Merckelbach, and Van Spauwen1 demonstrated that children display emotional reasoning irrespective of their anxiety levels. That is, when estimating whether a situation is dangerous, children not only rely on objective danger information but also on their own anxiety-response. The present study further examined emotional reasoning in children aged 7–13 years (N =508). In addition, it was investigated whether children also show parent-based reasoning, which can be defined as the tendency to rely on anxiety-responses that can be observed in parents. Children completed self-report questionnaires of anxiety, depression, and emotional and parent-based reasoning. Evidence was found for both emotional and parent-based reasoning effects. More specifically, children’s danger ratings were not only affected by objective danger information, but also by anxiety-response information in both objective danger and safety stories. -
Dunning–Kruger Effect - Wikipedia, the Free Encyclopedia
Dunning–Kruger effect - Wikipedia, the free encyclopedia http://en.wikipedia.org/wiki/Dunning–Kruger_effect Dunning–Kruger effect From Wikipedia, the free encyclopedia The Dunning–Kruger effect is a cognitive bias in which unskilled individuals suffer from illusory superiority, mistakenly rating their ability much higher than average. This bias is attributed to a metacognitive inability of the unskilled to recognize their mistakes.[1] Actual competence may weaken self-confidence, as competent individuals may falsely assume that others have an equivalent understanding. David Dunning and Justin Kruger of Cornell University conclude, "the miscalibration of the incompetent stems from an error about the self, whereas the miscalibration of the highly competent stems from an error about others".[2] Contents 1 Proposal 2 Supporting studies 3 Awards 4 Historical references 5 See also 6 References Proposal The phenomenon was first tested in a series of experiments published in 1999 by David Dunning and Justin Kruger of the Department of Psychology, Cornell University.[2][3] They noted earlier studies suggesting that ignorance of standards of performance is behind a great deal of incompetence. This pattern was seen in studies of skills as diverse as reading comprehension, operating a motor vehicle, and playing chess or tennis. Dunning and Kruger proposed that, for a given skill, incompetent people will: 1. tend to overestimate their own level of skill; 2. fail to recognize genuine skill in others; 3. fail to recognize the extremity of their inadequacy; 4. recognize and acknowledge their own previous lack of skill, if they are exposed to training for that skill. Dunning has since drawn an analogy ("the anosognosia of everyday life")[1][4] with a condition in which a person who suffers a physical disability because of brain injury seems unaware of or denies the existence of the disability, even for dramatic impairments such as blindness or paralysis. -
Redalyc.Effects of State and Trait Anxiety on Selective Attention To
International Journal of Psychological Research ISSN: 2011-2084 [email protected] Universidad de San Buenaventura Colombia Ortega Marín, Jeniffer; Jiménez Solanilla, Karim; Acosta Barreto, Rocio Effects of state and trait anxiety on selective attention to threatening stimuli in a non-clinical sample of school children International Journal of Psychological Research, vol. 8, núm. 1, 2015, pp. 75-89 Universidad de San Buenaventura Medellín, Colombia Available in: http://www.redalyc.org/articulo.oa?id=299033832007 How to cite Complete issue Scientific Information System More information about this article Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Journal's homepage in redalyc.org Non-profit academic project, developed under the open access initiative INT.J.PSYCHOL.RES. 2015; 8 (1): 75-90 Effects of state and trait anxiety on selective attention to threatening stimuli in a non- clinical sample of school children Efectos de la ansiedad estado-rasgo sobre la atención selectiva a estímulos amenazantes en una muestra no clínica de niños escolarizados R e s e a r c h a a a, Jeniffer Ortega Marín , Karim Jiménez Solanilla , and Rocio Acosta Barreto * a Faculty of Psychology, Universidad San Buenaventura,Bogotá, Colombia. ARTICLE INFO ABSTRACT Attentional biases, consisting of a preferential processing of threatening stimuli, have been found in anxious adults as predicted by several cognitive models. However, Article history: studies with non-clinical samples of children have provided mixed results. Therefore, Received: 30-07-2014 the aim of this research was to determine the effects of state and trait anxiety on the Revised: 28-08-2014 selective attention towards threatening stimuli in a non-clinical sample of school Accepted: 10-12-2014 children (age: 8 to 13, n = 110) using the dot-probe task. -
Ilidigital Master Anton 2.Indd
services are developed to be used by humans. Thus, understanding humans understanding Thus, humans. by used be to developed are services obvious than others but certainly not less complex. Most products bioengineering, and as shown in this magazine. Psychology mightbusiness world. beBe it more the comparison to relationships, game elements, or There are many non-business flieds which can betransfered to the COGNTIVE COGNTIVE is key to a succesfully develop a product orservice. is keytoasuccesfullydevelopproduct BIASES by ANTON KOGER The Power of Power The //PsychologistatILI.DIGITAL WE EDIT AND REINFORCE SOME WE DISCARD SPECIFICS TO WE REDUCE EVENTS AND LISTS WE STORE MEMORY DIFFERENTLY BASED WE NOTICE THINGS ALREADY PRIMED BIZARRE, FUNNY, OR VISUALLY WE NOTICE WHEN WE ARE DRAWN TO DETAILS THAT WE NOTICE FLAWS IN OTHERS WE FAVOR SIMPLE-LOOKING OPTIONS MEMORIES AFTER THE FACT FORM GENERALITIES TO THEIR KEY ELEMENTS ON HOW THEY WERE EXPERIENCED IN MEMORY OR REPEATED OFTEN STRIKING THINGS STICK OUT MORE SOMETHING HAS CHANGED CONFIRM OUR OWN EXISTING BELIEFS MORE EASILY THAN IN OURSELVES AND COMPLETE INFORMATION way we see situations but also the way we situationsbutalsotheway wesee way the biasesnotonlychange Furthermore, overload. cognitive avoid attention, ore situations, guide help todesign massively can This in. take people information of kind explainhowandwhat ofperception egory First,biasesinthecat andappraisal. ory, self,mem perception, into fourcategories: roughly bedivided Cognitive biasescan within thesesituations. forusers interaction andeasy in anatural situationswhichresults sible toimprove itpos and adaptingtothesebiasesmakes ingiven situations.Reacting ways certain act sively helpstounderstandwhypeople mas into consideration biases ing cognitive Tak humanbehavior. topredict likely less or andmore relevant illusionsare cognitive In each situation different every havior day. -
Cognitive Biases in Software Engineering: a Systematic Mapping Study
Cognitive Biases in Software Engineering: A Systematic Mapping Study Rahul Mohanani, Iflaah Salman, Burak Turhan, Member, IEEE, Pilar Rodriguez and Paul Ralph Abstract—One source of software project challenges and failures is the systematic errors introduced by human cognitive biases. Although extensively explored in cognitive psychology, investigations concerning cognitive biases have only recently gained popularity in software engineering research. This paper therefore systematically maps, aggregates and synthesizes the literature on cognitive biases in software engineering to generate a comprehensive body of knowledge, understand state of the art research and provide guidelines for future research and practise. Focusing on bias antecedents, effects and mitigation techniques, we identified 65 articles (published between 1990 and 2016), which investigate 37 cognitive biases. Despite strong and increasing interest, the results reveal a scarcity of research on mitigation techniques and poor theoretical foundations in understanding and interpreting cognitive biases. Although bias-related research has generated many new insights in the software engineering community, specific bias mitigation techniques are still needed for software professionals to overcome the deleterious effects of cognitive biases on their work. Index Terms—Antecedents of cognitive bias. cognitive bias. debiasing, effects of cognitive bias. software engineering, systematic mapping. 1 INTRODUCTION OGNITIVE biases are systematic deviations from op- knowledge. No analogous review of SE research exists. The timal reasoning [1], [2]. In other words, they are re- purpose of this study is therefore as follows: curring errors in thinking, or patterns of bad judgment Purpose: to review, summarize and synthesize the current observable in different people and contexts. A well-known state of software engineering research involving cognitive example is confirmation bias—the tendency to pay more at- biases. -
Infographic I.10
The Digital Health Revolution: Leaving No One Behind The global AI in healthcare market is growing fast, with an expected increase from $4.9 billion in 2020 to $45.2 billion by 2026. There are new solutions introduced every day that address all areas: from clinical care and diagnosis, to remote patient monitoring to EHR support, and beyond. But, AI is still relatively new to the industry, and it can be difficult to determine which solutions can actually make a difference in care delivery and business operations. 59 Jan 2021 % of Americans believe returning Jan-June 2019 to pre-coronavirus life poses a risk to health and well being. 11 41 % % ...expect it will take at least 6 The pandemic has greatly increased the 65 months before things get number of US adults reporting depression % back to normal (updated April and/or anxiety.5 2021).4 Up to of consumers now interested in telehealth going forward. $250B 76 57% of providers view telehealth more of current US healthcare spend % favorably than they did before COVID-19.7 could potentially be virtualized.6 The dramatic increase in of Medicare primary care visits the conducted through 90% $3.5T telehealth has shown longevity, with rates in annual U.S. health expenditures are for people with chronic and mental health conditions. since April 2020 0.1 43.5 leveling off % % Most of these can be prevented by simple around 30%.8 lifestyle changes and regular health screenings9 Feb. 2020 Apr. 2020 OCCAM’S RAZOR • CONJUNCTION FALLACY • DELMORE EFFECT • LAW OF TRIVIALITY • COGNITIVE FLUENCY • BELIEF BIAS • INFORMATION BIAS Digital health ecosystems are transforming• AMBIGUITY BIAS • STATUS medicineQUO BIAS • SOCIAL COMPARISONfrom BIASa rea• DECOYctive EFFECT • REACTANCEdiscipline, • REVERSE PSYCHOLOGY • SYSTEM JUSTIFICATION • BACKFIRE EFFECT • ENDOWMENT EFFECT • PROCESSING DIFFICULTY EFFECT • PSEUDOCERTAINTY EFFECT • DISPOSITION becoming precise, preventive,EFFECT • ZERO-RISK personalized, BIAS • UNIT BIAS • IKEA EFFECT and • LOSS AVERSION participatory.