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Scientists frequently use models to help them comprehend a specific collection of phenomena. In physics, a model is a condensed version of a physical system that is too complex to study thoroughly. One such example is the light wave model; unlike water waves, light waves are typically invisible to us. Nonetheless, it is helpful to think of light as being composed of waves, since investigations show that light behaves like water waves. Since it is impossible to visually see what is genuinely...
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Related Experiment Video

Updated: Apr 25, 2026

The Resident-intruder Paradigm: A Standardized Test for Aggression, Violence and Social Stress
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Risk relativism and physical law.

Alex Broadbent

    Journal of Epidemiology and Community Health
    |August 16, 2014
    PubMed
    Summary

    Jerome Cornfield's principle on relative versus absolute measures for causal inference and public health is fundamentally flawed. This analysis explores the mistaken partition of measures and its roots in scientific education.

    Area of Science:

    • Epidemiology
    • Causal Inference
    • Public Health

    Background:

    • Jerome Cornfield's 1959 papers proposed distinct uses for relative and absolute measures in epidemiology.
    • Cornfield questioned how epidemiology should address its lack of generalizable laws.
    • Recent critiques challenge the mathematical basis and conceptual underpinnings of Cornfield's Principle.

    Purpose of the Study:

    • To investigate the connection between Cornfield's assertions on measure utility and the nature of epidemiological inquiry.
    • To critically examine the fundamental validity of partitioning epidemiological measures into absolute and relative categories.
    • To explore the influence of physical science education on epidemiological reasoning and its perceived limitations.

    Main Methods:

    • Conceptual analysis of Cornfield's 1959 arguments.
    Keywords:
    EPIDEMIOLOGYEpidemiological methodsPUBLIC HEALTH

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  • Review of recent critiques of 'risk relativism' and epidemiological measure utility.
  • Exploration of the historical and educational influences on epidemiological methodology.

    • Main Results:

    • The distinction between relative and absolute measures for causal inference versus public health is fundamentally flawed.
    • The perceived utility of this partition may stem from the influence of physical science paradigms.
    • Epidemiologists' response to their domain's low 'articulation' may contribute to the persistence of this flawed partitioning.

    Conclusions:

    • The attempt to categorize epidemiological measures as strictly absolute or relative is a mistaken dichotomy.
    • Rethinking the foundational assumptions influenced by physical sciences is crucial for advancing epidemiological methods.
    • Addressing the unique characteristics of epidemiological research requires a departure from rigid, potentially misapplied, scientific frameworks.