Why are People Bad at Detecting Randomness? Because it is Hard
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Summary
A computational analysis of an optimal reasoner’s performance on three tasks suggests that randomly produced data is inherently ambiguous, because data which is randomly produced can often also be produced by a systematic process.
- Type
- article
- Published
- 2008-01-01
- Cited by
- 7
- References
- 8
- OpenAlex
- https://openalex.org/W50269199
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1082786
Keywords
Randomness, Intuition, Inference, Computer science, Causal inference
References
- Cognitive Processes in Stereotyping and Intergroup Behavior
- Genesis of popular but erroneous psychodiagnostic observations.
- On the belief that arthritis pain is related to the weather.
- Subjective Probability: A Judgment of Representativeness
- Structure and strength in causal induction.
- Judgment Under Uncertainty: Heuristics and Biases.
- Judgment under uncertainty: Informal covariation assessment: Data-based versus theory-based judgments
Cited by
- Learning under uncertainty : a model-based approach for understanding gambling behaviour
- Effects of generative and discriminative learning on use of category variability.
- Empirical testing of pseudo random number generators based on elliptic curves
- Single case experimental designs: Introduction to a special issue of Neuropsychological Rehabilitation
- Peax: Interactive Visual Pattern Search in Sequential Data Using Unsupervised Deep Representation Learning
- Assessing the Distributional Fidelity of Synthetic Chest X-rays using the Embedded Characteristic Score
- Directions for Artificial Intelligence
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