Do Errors on Classic Decision Biases Happen Fast or Slow? Numeracy and Decision Time Predict Probability Matching, Sample Size Neglect, and Ratio Bias

Authors

  • Ryan Corser
    Owen Graduate School of Management, Vanderbilt University, Nashville, TN, USA
  • Raymond P. Voss Jr. Orcid
    Department of Psychology, Purdue University – Fort Wayne, Fort Wayne, IN, USA
  • John D. Jasper
    Department of Psychology, University of Toledo, Toledo, OH, USA

Abstract

Higher numeracy is associated with better comprehension and use of numeric information as well as reduced susceptibility to some decision biases. We extended this line of work by showing that increased numeracy predicted probability maximizing (versus matching) as well as a better appreciation of large sample sizes. At the same time, we replicated the findings that the more numerate were less susceptible to the ratio bias and base rate neglect phenomena. Decision time predicted accuracy for the ratio bias, probability matching, and sample size scenarios, but not the base rate scenarios. Interestingly, this relationship between decision time and accuracy was positive for the ratio bias problems, but negative for the probability matching and sample size scenarios. Implications for research on cognitive ability and decision biases are discussed.