Perception of randomness: On the time of streaks

People tend to think that streaks in random sequential events are rare and remarkable. When they actually encounter streaks, they tend to consider the underlying process as non-random. The present paper examines the time of pattern occurrences in sequences of Bernoulli trials, and shows that among all patterns of the same length, a streak is the most delayed pattern for its first occurrence. It is argued that when time is of essence, how often a pattern is to occur (mean time, or, frequency) and when a pattern is to first occur (waiting time) are different questions and bear different psychological relevance. The waiting time statistics may provide a quantitative measure to the psychological distance when people are expecting a probabilistic event, and such measure is consistent with both of the representativeness and availability heuristics in people's perception of randomness. We discuss some of the recent empirical findings and suggest that people's judgment and generation of random sequences may be guided by their actual experiences of the waiting time statistics.

[1]  Y. Trope,et al.  Construal-level theory of psychological distance. , 2010, Psychological review.

[2]  M. Bar-eli,et al.  Twenty years of “hot hand” research: Review and critique , 2006 .

[3]  Bruce D Burns,et al.  Randomness and inductions from streaks: “Gambler’s fallacy” versus ”hot hand“ , 2004, Psychonomic bulletin & review.

[4]  A. Rapoport,et al.  Generation of random series in two-person strictly competitive games , 1992 .

[5]  Robert T. Knight,et al.  Making order from chaos: the misguided frontal lobe , 2002, Nature Neuroscience.

[6]  Samuel M. McClure,et al.  Separate Neural Systems Value Immediate and Delayed Monetary Rewards , 2004, Science.

[7]  E. Weber,et al.  Predicting Risk-Sensitivity in Humans and Lower Animals: Risk as Variance or Coefficient of Variation , 2004, Psychological review.

[8]  Stephen Jay Gould,et al.  The Streak of Streaks , 1989 .

[9]  Clifford Konold,et al.  Making Sense of Randomness " Implicit Encoding as a Basis for Judgment , 1997 .

[10]  Daniel M. Oppenheimer,et al.  Randomness in retrospect: Exploring the interactions between memory and randomness cognition , 2008, Psychonomic bulletin & review.

[11]  G. S. Tune RESPONSE PREFERENCES: A REVIEW OF SOME RELEVANT LITERATURE. , 1964, Psychological bulletin.

[12]  Yaakov Kareev,et al.  Not that bad after all : generation of random sequences , 1992 .

[13]  A. Tversky,et al.  Subjective Probability: A Judgment of Representativeness , 1972 .

[14]  M Harry,et al.  MARKOWITZ, . Foundations of Portfolio Theory, Journal of Finance, , . , 1991 .

[15]  Daeyeol Lee,et al.  Neural Dissociation of Delay and Uncertainty in Intertemporal Choice , 2008, The Journal of Neuroscience.

[16]  Yung-Ming Chang Distribution of waiting time until the rth occurrence of a compound pattern , 2005 .

[17]  Colin Camerer,et al.  Neuroeconomics: How Neuroscience Can Inform Economics , 2005 .

[18]  W. A. Wagenaar Generation of random sequences by human subjects: A critical survey of literature. , 1972 .

[19]  Lola L. Lopes When Time Is of the Essence: Averaging, Aspiration, and the Short Run , 1996 .

[20]  R. Nickerson,et al.  The production and perception of randomness. , 2002, Psychological review.

[21]  Rachel T. A. Croson,et al.  Biases in casino betting: The hot hand and the gambler’s fallacy , 2006, Judgment and Decision Making.

[22]  P. Ayton,et al.  Subjective patterns of randomness and choice: some consequences of collective responses. , 2009, Journal of experimental psychology. Human perception and performance.

[23]  Susan F Butler,et al.  On producing random binary sequences. , 2009, The American journal of psychology.

[24]  A. Rapoport,et al.  Randomization in individual choice behavior. , 1997 .

[25]  Daniel M. Oppenheimer,et al.  The retrospective gambler’s fallacy: Unlikely events, constructing the past, and multiple universes , 2009, Judgment and Decision Making.

[26]  Kurt A. Carlson,et al.  The rule of three: How the third event signals the emergence of a streak. , 2007 .

[27]  S. Pinker How the Mind Works , 1999, Annals of the New York Academy of Sciences.

[28]  Bruce D. Burns,et al.  Heuristics as beliefs and as behaviors: The adaptiveness of the “hot hand” , 2004, Cognitive Psychology.

[29]  Harry M. Markowitz,et al.  Foundations of Portfolio Theory , 1991 .

[30]  Bruce D. Burns,et al.  Streak biases in decision making: data and a memory model , 2005, Cognitive Systems Research.

[31]  Hongbin Wang,et al.  Gambler’s fallacy, hot hand belief, and the time of patterns , 2010, Judgment and Decision Making.

[32]  Peter Ayton,et al.  The hot hand fallacy and the gambler’s fallacy: Two faces of subjective randomness? , 2004, Memory & cognition.

[33]  Rachel T. A. Croson,et al.  The Gambler’s Fallacy and the Hot Hand: Empirical Data from Casinos , 2005 .

[34]  Martin Gardner,et al.  Time Travel And Other Mathematical Bewilderments , 1987 .

[35]  M. Rabin Inference by Believers in the Law of Small Numbers , 2000 .

[36]  Yaacov Trope,et al.  The Effect of Construal Level on Subjective Probability Estimates , 2009, Psychological science.

[37]  G. Gigerenzer On Narrow Norms and Vague Heuristics: A Reply to Kahneman and Tversky (1996) , 1996 .

[38]  An T. Oskarsson,et al.  What’s Next? Judging Sequences of Binary Events , 2008, Psychological bulletin.

[39]  A. Tversky,et al.  The hot hand in basketball: On the misperception of random sequences , 1985, Cognitive Psychology.

[40]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[41]  A. Tversky,et al.  BELIEF IN THE LAW OF SMALL NUMBERS , 1971, Pediatrics.

[42]  A. Kolmogorov Three approaches to the quantitative definition of information , 1968 .

[43]  Lola L. Lopes,et al.  Distinguishing between random and nonrandom events. , 1987 .

[44]  D. Kahneman,et al.  Heuristics and Biases: The Psychology of Intuitive Judgment , 2002 .

[45]  S. Li,et al.  A Martingale Approach to the Study of Occurrence of Sequence Patterns in Repeated Experiments , 1980 .

[46]  G. McCarthy,et al.  Perceiving patterns in random series: dynamic processing of sequence in prefrontal cortex , 2002, Nature Neuroscience.

[47]  Ulrike Hahn,et al.  Perceptions of randomness: why three heads are better than four. , 2009, Psychological review.

[48]  Frank A. Schmid,et al.  Gambler’s fallacy? , 2002 .

[49]  David V. Budescu,et al.  A Markov model for generation of random binary sequences. , 1987 .

[50]  R. Tweney,et al.  Occurrence and nonoccurrence of random sequences: comment on Hahn and Warren (2009). , 2010, Psychological review.

[51]  Clifford Konold,et al.  Confessions of a coin flipper and would-be instructor , 1995 .

[52]  B. Malkiel A Random Walk Down Wall Street , 1973 .

[53]  Y. Trope,et al.  The Psychology of Transcending the Here and Now , 2008, Science.

[54]  R. Tweney,et al.  Postscript: Untangling the gambler’s fallacy. , 2010 .