人们在预测透明的随机事件时将未来的期望与过去的表现进行校准
Russell Roberts1, Reid Hastie1, Alexander Todorov1
1Booth School of Business, University of Chicago, Chicago, IL 60637, USA.
PNAS nexus
|August 28, 2025
概括
人们倾向于在随机事件中看到模式, 影响他们的未来期望和冒险. 即使是随机硬币, 成功也会带来乐观和冒险,
科学领域:
- 认知心理学
- 行为经济学
- 决策科学
背景情况:
- 人们往往难以区分随机和有模式的序列.
- 个人控制的信念甚至可以在真正随机的情况中继续存在.
研究的目的:
- 调查随机过程中的绩效反如何影响未来的预期和风险承担.
- 检查基于对随机结果控制的心理机制.
主要方法:
- 五项涉及12,000多名参与者的实验预测了公平的硬币投结果.
- 参与者得到不同数量的"成功" (正确的预测) 没有欺骗.
- 预测行为,未来的期望和冒险倾向的分析.
主要成果:
- 预测随机硬币的成功率更高导致了更加乐观的未来预期和更多的风险承担.
- 较低的成功率导致了悲观的期望和不愿冒险的行为.
- 绩效推断的强度与参与者改变预测的倾向相关,表明被认为是虚假的相关性.
结论:
- 个人表现出强烈的倾向,即便没有证据,也从随机序列中的表现中推断出预测信号.
- 这种推断不是通过扭曲的概率信念或风险态度来解释的,而是通过检测虚幻的相关性.
- 这些发现突显了人类在解释随机事件及其对决策的影响方面的基本偏见.
更多相关视频
13:04Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
Published on: September 19, 2012
12.2K
16:23Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
Published on: February 26, 2014
14.5K
相关概念视频
Hindsight Biases
3.9K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now?
3.9K
Random Error
1.6K
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
1.6K
Uncertainty in Measurement: Accuracy and Precision
78.9K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.
78.9K
Regression Toward the Mean
6.5K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.5K
Propagation of Uncertainty from Random Error
1.1K
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
1.1K
Expected Value
4.2K
The expected value is known as the "long-term" average or mean. This means that over the long term of experimenting over and over, you would expect this average. The expected average is represented by the symbol μ. It is calculated as follows:
4.2K
