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Related Concept Videos

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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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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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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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Correlation and Causation01:27

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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.
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Cause and Effect01:53

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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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On a Loophole in Causal Closure.

Johan Gamper1

  • 1Department of Philosophy, School of Culture and Education, Södertörn University, Alfred Nobels allé 7, 141 89 Huddinge, Sweden.

Philosophia (Ramat-Gan, Israel)
|August 28, 2018
PubMed
Summary

This study redefines causal closure by examining where causes are absent, proposing that universes interact indirectly through interfaces, which are causally open domains. This shifts focus from direct causation to mediated influence between universes.

Area of Science:

  • Metaphysics
  • Philosophy of Science
  • Cosmology

Background:

  • Standard definitions of causal closure concentrate on the location of causes.
  • Existing frameworks do not fully address the interaction between distinct universes.

Purpose of the Study:

  • To redefine causal closure by focusing on the absence of causes.
  • To explore the indirect interaction between universes through interfaces.
  • To propose a new model for understanding causal relationships across cosmic boundaries.

Main Methods:

  • Conceptual analysis of causal closure principles.
  • Development of a theoretical framework for inter-universal interaction.
  • Examination of the role of interfaces in mediating causal influence.
Keywords:
Causal closurePhilosophy of mindPhilosophy of physics

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Main Results:

  • Causal closure is redefined by considering where causes are not present.
  • Universes are causally closed, but interact indirectly via interfaces.
  • Interfaces act as domains that violate causal closure, enabling mediated influence.

Conclusions:

  • The proposed model offers a novel perspective on causal closure and inter-universal relations.
  • Universes are not directly affected by each other, but through non-causally closed interfaces.
  • This framework provides new avenues for metaphysical and cosmological inquiry.