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相关概念视频

Criteria for Causality: Bradford Hill Criteria - II01:28

Criteria for Causality: Bradford Hill Criteria - II

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The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
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Criteria for Causality: Bradford Hill Criteria - I01:30

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The Bradford Hill criteria are a group of principles that provide a framework to determine a causal relationship between a specific factor and a disease. There are nine criteria that are pivotal in assessing causality in epidemiological studies. Here's a closer look at Strength, Consistency, Specificity, and Temporality criteria with definitions and examples:
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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
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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...
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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):
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While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
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Updated: Jun 28, 2025

Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal
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在时间压力下的概率学因果推理.

Ivar R Kolvoort1,2,3, Elizabeth L Fisher1,4, Robert van Rooij2

  • 1Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands.

PloS one
|April 11, 2024
PubMed
概括
此摘要是机器生成的。

时间压力降低了准确性,增加了因果推理中的保守主义,这是一个速度-准确性权衡. 然而,其他推理错误,如马尔科夫违规仍然不受影响,这表明各种认知机制背后的因果判断.

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科学领域:

  • 认知科学 认知科学
  • 心理学 心理学 心理学
  • 神经科学是一个神经科学.

背景情况:

  • 因果推理是人类认知的基础.
  • 人们对因果推理的时间动态还不太了解.
  • 研究时间压力的影响可以揭示潜在的认知过程.

研究的目的:

  • 检查时间压力如何影响概率学因果推断.
  • 确定哪些类型的因果推理错误对时间限制敏感.
  • 在时间压力下探索信心和推理错误之间的关系.

主要方法:

  • 进行了两项实验,参与者进行了概率学因果推断.
  • 时间压力被系统地操纵为一个实验变量.
  • 测量了准确性,响应保守性,马尔科夫违规和解释失败.

主要成果:

  • 增加的时间压力导致精度下降和更保守的响应 (速度-精度权衡).
  • 违反马尔科夫规则和未能解释的行为出乎意料地对时间压力不敏感.
  • 低信心与保守的推理相关,但与马尔科夫违规或解释失败无关.

结论:

  • 因果推理错误不受时间压力的一致影响,挑战现有理论.
  • 这些发现表明,不同的因果推理错误源于不同的认知机制.
  • 因果判断似乎是多个相互影响的认知过程的产物.