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Randomness: off with its heads (and tails)

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Abstract

Although widely investigated and used in psychology, the concept of randomness is beset with philosophical and practical difficulties. In this paper, I propose a resolution to a long-standing problem in psychological research by arguing that the inability to comprehend and produce random behavior is not caused by a defect on the part of the observer but is a consequence of conceptual confusion. Randomness describes a state of high complexity which defies analysis and understanding. The well-known biases in predictive behavior (e.g. hot-hand and gambler’s fallacy) are not caused by the observers’ inability to comprehend randomness but reflect a natural pattern-seeking response to high-complexity situations. Further, I address the circularity at the heart of the randomness debate. Replacing randomness with complexity in psychology and cognitive science would eliminate many of the current problems associated with defining, investigating and using this elusive term.

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Notes

  1. Under a “single agent”, I broadly consider any agent that can be separated from the environment (e.g. steam engine, roulette, human observer etc.).

  2. Here is von Mises’ definition of randomness requiring both infinity and equiprobability [from Eagle (2005, p. 756)]: an infinite sequence S of outcomes of types \( {\text{A}}_{1} , \ldots ,{\text{A}}_{\text{n}} , \) is vM-random iff (1) every outcome type Ai has a well-defined relative frequency \( {\text{relf}}_{\text{i}}^{\text{s}} \) in S; and (2) for every infinite subsequence S* chosen by an admissible place selection, the relative frequency of Ai remains the same as in the larger sequence: \( {\text{relf}}_{\text{i}}^{\text{s}} = {\text{relf}}_{\text{i}}^{{{\text{s}}^{*} }} . \)

  3. Recent attempts to quantify the structure of random sequences ultimately represent a sophisticated incarnation of gambler’s fallacy (Aksentijevic 2015).

  4. Cutting referred to invariance as “absence of change” and transformations as “ways of invoking a change” (1998, p. 79).

  5. Similar problems can be found in other sciences but are outside the scope of this paper.

References

  • Adami C, Cerf NJ (2000) Physical complexity of symbolic sequences. Phys D 137:62–69

    Article  Google Scholar 

  • Aksentijevic A (2015a) Statistician, heal thyself: fighting statophobia at the source. Front Psychol. doi:10.3389/fpsyg.2015.01558

    Article  Google Scholar 

  • Aksentijevic A (2015b) No time for waiting: statistical structure reflects subjective complexity. Proc Natl Acad Sci USA 112:E3159. doi:10.1073/pnas.1507950112

    Article  Google Scholar 

  • Aksentijevic A, Gibson K (2012a) Complexity equals change. Cogn Syst Res 15–16:1–16

    Article  Google Scholar 

  • Aksentijevic A, Gibson K (2012b) Complexity and the cost of information processing. Theor Psychol 22:572–590

    Article  Google Scholar 

  • Alberoni F (1962) Contribution to the study of subjective probability: I. J Gen Psychol 66(2):261–264

    Google Scholar 

  • Alter AL, Oppenheimer DM (2006) From a fixation on sports to an exploration of mechanism: the past, present and future of hot hand research. Think Reason 12(4):431–444

    Article  Google Scholar 

  • Attneave F (1959) Applications of information theory to psychology: a summary of basic concepts, methods, and results. Henry Holt, New York

    Google Scholar 

  • Ayton P, Fischer J (2004) The hot hand fallacy and the gambler’s fallacy: the two faces of subjective randomness? Mem Cogn 32(8):1369–1378

    Article  Google Scholar 

  • Ayton P, Hunt A, Wright G (1989) Psychological conceptions of randomness. J Behav Decis Mak 2(4):221–238

    Article  Google Scholar 

  • Bar-Eli M, Avugos S, Raab M (2006) Twenty years of “hot hand” research: review and critique. Psychol Sport Exerc 7:525–553

    Article  Google Scholar 

  • Bar-Hillel M, Wagenaar W (1991) The perception of randomness. Adv Appl Math 12(4):428–454

    Article  Google Scholar 

  • Boynton DM (2003) Superstitious responding and frequency matching in the positive bias and gambler’s fallacy effects. Organ Behav Hum 91(2):119–127

    Article  Google Scholar 

  • Brown SG (1957) Probability and scientific inference. Longmans, Green, London

    Google Scholar 

  • Burns BD (2004) Heuristics as beliefs and as behaviors: the adaptiveness of the “hot hand”. Cogn Psychol 48(3):295–331

    Article  Google Scholar 

  • Burns BD, Corpus B (2004) Randomness and inductions from streaks: “Gambler’s fallacy” versus “hot hand”. Psychon B Rev 11(1):179–184

    Article  Google Scholar 

  • Calude CS (2000) Who is afraid of randomness? Report of the Centre of Discrete Mathematics and Theoretical Computer Science, University of Auckland, New Zealand

  • Chaitin GJ (1969) On the length of the programs for computing finite binary sequences: statistical considerations. J Assoc Comput Mach 16:145–159

    Article  Google Scholar 

  • Chaitin GJ (1975) Randomness and mathematical proof. Sci Am 232(5):47–52

    Article  Google Scholar 

  • Chaitin GJ (2001) Exploring randomness. Springer, London

    Book  Google Scholar 

  • Copeland BJ (ed) (2004) The essential Turing: the ideas that gave birth to the computer age. Clarendon Press, Oxford

    Google Scholar 

  • Coren RL (2002) Comments on “A law of information growth”. Entropy 4:32–34

    Article  Google Scholar 

  • Cowan N (2001) The magical number 4 in short-term memory: a reconsideration of mental storage capacity. Behav Brain Sci 24(1):87–114

    Article  Google Scholar 

  • Coward A (1990) Pattern thinking. Praeger, New York

    Google Scholar 

  • Cutting JE (1998) Information from the world around us. In: Hochberg J (ed) Perception and cognition at century’s end: history, philosophy and theory. Academic Press, San Diego, pp 69–93

    Chapter  Google Scholar 

  • Dawes RM (1988) Rational choice in an uncertain world. Harcourt, Brace & Jovanovich, New York

    Google Scholar 

  • Eagle A (2005) Randomness is unpredictability. Br J Philos Sci 56:749–790

    Article  Google Scholar 

  • Falk R (1991) Randomness—an ill-defined but much needed concept (commentary on “Psychological Conceptions of Randomness”). J Behav Decis Mak 4(3):215–218

    Article  Google Scholar 

  • Falk R (2010) The infinite challenge: levels of conceiving the endlessness of numbers. Cogn Instruct 28(1):1–38

    Article  Google Scholar 

  • Falk R, Konold C (1997) Making sense of randomness: implicit encoding as a basis for judgment. Psychol Rev 104(2):301–318

    Article  Google Scholar 

  • Feynman RP, Leighton RB, Sands M (1963) The Feynman lectures on physics. Addison-Wesley, Reading

    Google Scholar 

  • Gardner M (1989) Mathematical carnival, chap 13—random numbers. The Mathematical Association of America, Washington, DC

  • Garner WR (1962) Uncertainty and structure as psychological concepts. Wiley, New York

    Google Scholar 

  • Gell-Mann M (1994) The quark and the jaguar: adventures in the simple and the complex. Freeman, New York

    Google Scholar 

  • Gell-Mann M (1995) What is complexity? Complexity 1(1):1–9

    Article  Google Scholar 

  • Gilden DL, Wilson SG (1995) On the nature of streaks in signal detection. Cogn Psychol 28(1):17–64

    Article  Google Scholar 

  • Gilovich T, Vallone R, Tversky A (1985) The hot hand in basketball: on the misperception of random sequences. Cogn Psychol 17:295–314

    Article  Google Scholar 

  • Glanzer M, Clark WH (1962) Accuracy of perceptual recall: an analysis of organization. J Verb Learn Verb Behav 1(4):289–299

    Article  Google Scholar 

  • Grassberger P (1986) How to measure self-generated complexity. Phys A 140(1–2):319–325

    Article  Google Scholar 

  • Hahn U, Warren P (2009) Perceptions of randomness: why three heads are better than four. Psychol Rev 116(2):454–461

    Article  Google Scholar 

  • Hammond KR, Householder JE (1962) A model of randomness. In: Hammond KR, Householder JE (eds) Introduction to the statistical method: foundations and use in the behavioral sciences. Alfred A. Knopf, New York, pp 238–286

    Chapter  Google Scholar 

  • Ichikawa S (1985) Quantitative and structural factors in the judgment of pattern complexity. Percept Psychophys 38(2):101–109

    Article  Google Scholar 

  • Jaditz T (2000) Are the digits of π an independent and identically distributed sequence? Am Stat 54(1):12–16

    Google Scholar 

  • Kahneman D, Tversky A (1972) Subjective probability: a judgment of representativeness. Cogn Psychol 3(3):430–454

    Article  Google Scholar 

  • Keren G, Lewis C (1994) The two fallacies of gamblers: type I and type II. Organ Behav Hum 60(1):75–89

    Article  Google Scholar 

  • Koffka K (1935) Principles of Gestalt psychology. Lund Humphries, London

    Google Scholar 

  • Kolmogorov AN (1965) Three approaches to the quantitative definition of information. Probl Inf Transm 1(1):1–7

    Google Scholar 

  • Li M, Vitanyi P (1997) An introduction to Kolmogorov complexity and its applications. Springer, New York

    Book  Google Scholar 

  • Lopes LL (1982) Doing the impossible: a note on induction and the experience of randomness. J Exp Psychol Learn 8(6):626–636

    Article  Google Scholar 

  • Lordahl DS (1970) An hypothesis approach to sequential prediction of binary events. J Math Psychol 7(2):339–361

    Article  Google Scholar 

  • MacKay D (1950) Quantal aspects of scientific information. Philos Mag 41:289–311

    Article  Google Scholar 

  • Matthews WJ (2013) Relatively random: context effects on perceived randomness and predicted outcomes. J Exp Psychol Learn 39(5):1642–1648

    Article  Google Scholar 

  • Miller GA (1956) The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychol Rev 63(2):81–97

    Article  Google Scholar 

  • Nickerson R (2002) The production and perception of randomness. Psychol Rev 109(2):330–357

    Article  Google Scholar 

  • Noether G (1987) Mental random numbers: perceived and real randomness. Teach Stat 9:68–70

    Article  Google Scholar 

  • Oskarsson AT, Van Boven L, McClelland G, Hastie R (2009) What’s next? Judging sequences of binary events. Psychol Bull 135(2):262–285

    Article  Google Scholar 

  • Péter R (1957/1976) Playing with infinity: mathematical explorations and excursions. Dover, London

  • Rapoport A, Budescu DV (1997) Randomization in individual choice behavior. Psychol Rev 104(3):603–617

    Article  Google Scholar 

  • Roney CJR, Trick LM (2003) Grouping and gambling: a Gestalt approach to gambler’s fallacy. Can J Exp Psychol 57(2):69–75

    Article  Google Scholar 

  • Shannon C (1948) A mathematical theory of communication. Bell Labs Tech J 27:623–656

    Article  Google Scholar 

  • Solomonoff RJ (1964) A formal theory of inductive inference, part 1 and part 2. Inform Control 7:224–254

    Article  Google Scholar 

  • Tune GS (1964) Response preferences: a review of some relevant literature. Psychol Bull 61(4):286–302

    Article  Google Scholar 

  • Tversky A, Kahneman D (1971) The belief in the law of small numbers. Psychol Bull 76(2):105–110

    Article  Google Scholar 

  • Tyzska T, Zielonka P, Dacey R, Sawicki P (2008) Perception of randomness and predicting uncertain events. Think Reason 14(1):83–110

    Article  Google Scholar 

  • Volchan SB (2002) What is a random sequence? Am Math Mon 109:46–63

    Article  Google Scholar 

  • Wagenaar WA (1991) Randomness and randomizers: maybe the problem is not so big. J Behav Decis Mak 4(3):220–222

    Article  Google Scholar 

Download references

Acknowledgments

The author wishes to thank Lisa Kainan for making available her unpublished doctoral dissertation and Ruma Falk for her encouragement and advice.

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Correspondence to Aleksandar Aksentijevic.

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Aksentijevic, A. Randomness: off with its heads (and tails). Mind Soc 16, 1–15 (2017). https://doi.org/10.1007/s11299-015-0187-7

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