The unbearable burden of executive load on cognitive reflection: A validation of dual process theory

The unbearable burden of executive load on cognitive reflection: A validation of dual process theory Eric D. Johnson (eric.johnson@ub.edu) Department of Basic Psychology and IR3C, University of Barcelona, Barcelona, Spain Elisabet Tubau (etubau@ub.edu) Department of Basic Psychology and IR3C, University of Barcelona, Barcelona, Spain Wim De Neys (wim.de-neys@parisdescartes.fr) CNRS, LaPsyDE (CNRS Unit 8042), Paris Descartes University, Paris, France Abstract The Cognitive Reflection Test (CRT) is increasingly employed to measure the tendency of an individual to override a prepotent but incorrect response and to subsequently engage in further reflection. This interplay between fast intuitive responding and resource demanding reflection has been offered as a paradigmatic example of dual process theories of thinking. Despite its growing popularity both for dual process theories and as an easily deployed measure of intelligence, the basic assumption that the CRT relies on executive resources remains generally circumstantial. The present study directly tested these dual process assumptions by presenting the standard bat-and-ball problem and a no-conflict control version while manipulating executive resources with a secondary load task. With the no-conflict control problems, accuracy was uniformly at ceiling in no load, low load, and high load conditions. In sharp contrast, in the standard conflict problems accuracy clearly declined with increasingly load. These findings validate dual process assumptions by providing direct causal evidence that correctly resolving the bat-and-ball problem draws on executive resources. Keywords: Cognitive reflection; bat-and-ball problem; Dual process; Executive resources; Reasoning; Decision making; Bias Introduction In the face of difficulty, human reasoners often appear to forego the effortful processing that may be required and opt instead for less demanding intuitive responses (Kahneman, 2011). While many fast and frugal heuristics are no doubt adaptive in complex and reoccurring environments (Gigerenzer, 2007), thinking fast can also lead to quite embarrassingly erroneous responses in less routine settings. Quickly consider the following example: A bat and a ball together cost $1.10. The bat costs $1 more than the ball. How much does the ball cost? Intuitively, the answer “10 cents” quickly springs to mind. In fact, typically around 80% of university students, including those from elite schools such as MIT and Harvard, respond with this intuitive—but incorrect—answer (e.g. Bourgeois-Gironde & Vanderhenst, 2009; Frederick, 2005). If the bat costs $1 more than a 10-cent ball, the bat itself must cost $1.10. Summing up, a $1.10 bat + a $0.10 ball would equal $1.20, not $1.10 as stated in the problem. Does this imply that highly educated young adults think that ‘110 + 10’ = ‘110’? Of course not. Rather, it suggests that even educated reasoners often do not invest the necessary effort to correct their initial intuition, and instead settle for a quickly derived response. The above bat-and-ball problem 1 is extremely popular amongst researchers, and extremely difficult for participants. This popularity and difficulty are highly intertwined. First, high correlations are often observed between performance on this problem and other measures of intelligence or cognitive capacity, making it a tempting short alternative to more cumbersome measures such as standard IQ or working memory tests (Toplak, West, Stanovich, 2011). Second, like many traditional judgment and reasoning tasks arising out the heuristics-and-biases era, the above bat-and-ball problem is a paradigmatic example of a situation whose initially primed response is incorrect and which therefore must be overridden in order to correctly solve the task. This latter point has made the bat-and-ball problem particularly attractive for dual process theories of thinking and reasoning (Kahneman, 2011; Kahneman & Frederick, 2002; Thompson, 2009). According to dual processes theories, human reasoning is characterized by two systems, or processing types, which respond to encountered information in different ways. A first intuitive type thinking (System 1) automatically triggers responses based on prior knowledge/beliefs or via a number of simplifying heuristics, whereas a second more deliberate type (System 2) demands the more controlled utilization of limited executive resources. The bat-and-ball problem, together with two other items, forms part of the Cognitive Reflection Test (CRT; Frederick, 2005). For a recently extended test, see Toplak, West & Stanovich (2013).

[1]  Wim De Neys,et al.  Working memory capacity and a notorious brain teaser: the case of the Monty Hall Dilemma. , 2006, Experimental psychology.

[2]  S. Frederick Journal of Economic Perspectives—Volume 19, Number 4—Fall 2005—Pages 25–42 Cognitive Reflection and Decision Making , 2022 .

[3]  David A. Rettinger,et al.  How are visuospatial working memory, executive functioning, and spatial abilities related? A latent-variable analysis. , 2001, Journal of experimental psychology. General.

[4]  G. Gigerenzer Gut Feelings: The Intelligence of the Unconscious , 2007 .

[5]  D. Kahneman,et al.  Representativeness revisited: Attribute substitution in intuitive judgment. , 2002 .

[6]  O. Houdé,et al.  Bats, balls, and substitution sensitivity: cognitive misers are no happy fools , 2013, Psychonomic Bulletin & Review.

[7]  S. Sloman The empirical case for two systems of reasoning. , 1996 .

[8]  G. Keren,et al.  Two Is Not Always Better Than One , 2009, Perspectives on psychological science : a journal of the Association for Psychological Science.

[9]  V. Reyna,et al.  Individual Differences in Numeracy and Cognitive Reflection, with Implications for Biases and Fallacies in Probability Judgment. , 2012, Journal of behavioral decision making.

[10]  Keith E. Stanovich,et al.  Assessing miserly information processing: An expansion of the Cognitive Reflection Test , 2014 .

[11]  V. Thompson Dual-process theories: A metacognitive perspective , 2009 .

[12]  Wim De Neys,et al.  Automatic-heuristic and executive-analytic processing during reasoning: Chronometric and dual-task considerations. , 2006 .

[13]  Wim De Neys,et al.  The effortless nature of conflict detection during thinking , 2009 .

[14]  Jonathan Evans,et al.  Science Perspectives on Psychological , 2022 .

[15]  K. Stanovich,et al.  The Cognitive Reflection Test as a predictor of performance on heuristics-and-biases tasks , 2011, Memory & cognition.

[16]  Edward T. Cokely,et al.  Cognitive abilities and superior decision making under risk: A protocol analysis and process model evaluation , 2009, Judgment and Decision Making.

[17]  Jonathan Evans Dual-processing accounts of reasoning, judgment, and social cognition. , 2008, Annual review of psychology.

[18]  Wim De Neys,et al.  Evolutionary modules and Bayesian facilitation: The role of general cognitive resources , 2013 .

[19]  Wim De Neys,et al.  Dual processing in reasoning: two systems but one reasoner. , 2006, Psychological science.

[20]  N. McGlynn Thinking fast and slow. , 2014, Australian veterinary journal.

[21]  Gerd Gigerenzer,et al.  How do we tell an association from a rule , 1996 .

[22]  Jean‐François Bonnefon,et al.  The ‘whys’ and ‘whens’ of individual differences in thinking biases , 2013, Trends in Cognitive Sciences.

[23]  K. Stanovich,et al.  Heuristics and Biases: Individual Differences in Reasoning: Implications for the Rationality Debate? , 2002 .

[24]  Jean-Baptiste Van der Henst,et al.  How to open the door to System 2: Debiasing the Bat-and-Ball problem , 2008 .