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相关概念视频

Fundamental Attribution Error01:14

Fundamental Attribution Error

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According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
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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:
359
Criteria for Causality: Bradford Hill Criteria - I01:30

Criteria for Causality: Bradford Hill Criteria - I

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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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Cause and Effect01:53

Cause and Effect

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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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Local Attraction01:22

Local Attraction

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Local attraction refers to disturbances in compass readings caused by magnetic influences from nearby objects such as metal fences, buried pipes, vehicles, buildings, power lines, or natural iron ore deposits. Small items like wristwatches, steel tools, or belt buckles can also interfere with the compass by creating local magnetic fields that distort the Earth's natural magnetic field. These distortions lead to inaccurate readings, posing navigation and land surveying challenges.Local...
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Correlation and Causation01:27

Correlation and Causation

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Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
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相关实验视频

Updated: Jul 16, 2025

The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
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当局部原因在解释上更有用时.

Pierrick Bourrat1,2

  • 1Department of Philosophy, Macquarie University, North Ryde, NSW, Australia.

The Behavioral and brain sciences
|September 11, 2023
PubMed
概括

当地原因,经常被忽视,可以比一般原因更有价值的理解复杂的人类特征. 这项研究表明,浅层的因果知识有时比深层的,可概括的知识更有用.

科学领域:

  • 人类遗传学 人类遗传学
  • 因果推理的原因推理.
  • 复杂的特征 复杂的特征

背景情况:

  • 了解复杂的人类特征需要整合因果知识.
  • 传统上,可概括的原因优先于局部的,浅层的原因.
  • 这种优先考虑可能会导致对特征决定因素的不完全理解.

研究的目的:

  • 挑战关于因果知识深度有用性的传统观点.
  • 为了说明局部原因在理解复杂特征方面的潜在重要性.
  • 倡导对因果信息进行更细致的整合.

主要方法:

  • 概念分析使用一个简单的插图示例.
  • 浅层与深层因果知识的实用性比较.
  • 在人类特征的背景下探索因果推理.

主要成果:

  • 证明在特定情况下,局部原因可能比一般化原因更具信息性.
  • 强调仅仅关注可概括的因果解释的局限性.
  • 为经典假设的浅层原因低估提供了反例.

结论:

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Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
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  • 尽管局部因果知识很浅,但对于全面了解复杂的人类特征至关重要.
  • 需要重新评估不同因果深度的相对重要性.
  • 整合多样化的因果知识可以增强对人类变异的研究.