2002
DOI: 10.1037/0033-295x.109.2.330
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The production and perception of randomness.

Abstract: This article contains a discussion of the elusive nature of the concept of randomness, a review of findings from experiments with randomness production and randomness perception tasks, and a presentation of theoretical treatments of people's randomization capabilities and limitations. The importance of task instructions and the difficulty of interpreting results when instructions are vague or ambiguous are stressed. The widely held view that people are incapable of generating or recognizing randomness is shown… Show more

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Cited by 205 publications
(216 citation statements)
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References 111 publications
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“…This finding is in line with previous research on the production of random response sequences (e.g. Nickerson, 2002). A frequently reported finding from studies that have looked into the concept of randomness is that participants, when asked to generate random binary sequences, have a tendency to produce sequences that consist of slightly more alternations than would be expected by chance (Nickerson, 2002).…”
Section: Accepted M Manuscriptsupporting
confidence: 91%
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“…This finding is in line with previous research on the production of random response sequences (e.g. Nickerson, 2002). A frequently reported finding from studies that have looked into the concept of randomness is that participants, when asked to generate random binary sequences, have a tendency to produce sequences that consist of slightly more alternations than would be expected by chance (Nickerson, 2002).…”
Section: Accepted M Manuscriptsupporting
confidence: 91%
“…Nickerson, 2002). A frequently reported finding from studies that have looked into the concept of randomness is that participants, when asked to generate random binary sequences, have a tendency to produce sequences that consist of slightly more alternations than would be expected by chance (Nickerson, 2002). This is exactly what we observed in the current study, further supporting our conclusion that participants have been responding in a random way to the best of their abilities.…”
Section: Accepted M Manuscriptsupporting
confidence: 90%
“…Our findings support a rational account for human probabilistic reasoning and a unifying perspective that connects the implicit learning without instruction with the generalization under structured and expressive rules. grounding for the pervasive gambler's fallacy bias in human judgments of random processes, where people systematically discount repetitions and emphasize alternations (9,10).…”
Section: Significancementioning
confidence: 99%
“…3 is maximized when H = T. That is, governed by the belief function f ðH; TÞ, the optimal solution to generating a random sequence is to always seek a balance between the numbers of heads and tails (10). Based on this belief function, Griffiths and Tenenbaum (8) proposed a Bayesian model of random sequence production.…”
Section: Bayesian Models Of Random Sequence Productionmentioning
confidence: 99%
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