在双重预防场景中对近期效应的反事实解释:对Thanawala和Erb (2024) 的评论 (2024)
Tadeg Quillien1, Kevin O'Neill2, Paul Henne3
1Department of Psychology, University of Edinburgh, United Kingdom.
Cognition
|August 1, 2025
概括
这项研究表明反事实思维解释了事件时间如何影响双重预防场景中的因果判断. 这挑战了因果多元主义,证明了对时间顺序效应的统一反事实解释.
科学领域:
- 认知科学 认知科学
- 思想的哲学 思想的哲学
- 心理学 心理学 心理学
背景情况:
- 因果多元主义提出了多重因果关系的概念,通常是由于双重预防的原因.
- Thanawala和Erb (2024) 在双重预防中挑战现有的因果多元主义帐户,使用时间顺序效应.
研究的目的:
- 证明反事实思维可以解释双重预防案件中的时间顺序效应.
- 证明一个反事实模型可以解释以前被视为挑战因果多元主义的发现.
主要方法:
- 对Thanawala和Erb (2024) 关于双重预防中的时间顺序的研究结果的分析.
- 应用最近的因果判断的反事实模型来解释这些发现.
主要成果:
- 双重预防中的时间顺序效应是由人们模拟反事实替代品的程度来解释的.
- 一个反事实模型成功地重现了Thanawala和Erb (2024) 中观察到的定性时间顺序效应.
结论:
- 反事实思维为双重预防中的时间顺序效应提供了统一的解释.
- 这些发现表明,反事实理论比以前假设的更容易泛化,包括双重预防和时间顺序效应.
相关概念视频
The Availability Heuristic
A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
Hindsight Biases
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?
Causality in Epidemiology
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
Confounding in Epidemiological Studies
Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This phenomenon...
Bias in Epidemiological Studies
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
Counterfactual Thinking
Counterfactual thinking is a cognitive process wherein individuals mentally reconstruct alternative versions of past events, often beginning with “what if” or “if only.” This reflective mechanism plays a significant role in shaping emotional experiences and guiding future behavior. Though typically triggered by unfavorable or unexpected outcomes, counterfactual thinking can also emerge in mundane, everyday decisions and experiences, revealing its deep entrenchment in human cognition.Types of...


