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On the Wild Side

Correlation, causation and scientific objectivity

  • 3 things to know
  • Papers 1 and 3

Overview

Recall questions on what is needed to establish causation, extrapolation, and how funding and interest can shape conclusions.

What you need to know

Answer each one before you reveal it.

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Key term

Why does correlation between two variables not prove causation?

Key term

What distinguishes a causal relationship from a mere correlation?

Key term

What is extrapolation in the context of climate data?

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    Why does correlation between two variables not prove causation?

    Model answer

    A causal relationship requires a mechanism linking cause and effect; correlation alone does not demonstrate this mechanism.

  2. 2

    What is extrapolation in the context of climate data?

    Model answer

    Extrapolation is extending observed trends beyond measured values to make predictions about future climate change.

  3. 3

    Why might scientific conclusions about controversial issues like climate change actions vary depending on who reaches them?

    Model answer

    Conclusions can be influenced by differing interests, values, or funding sources.

  4. 4

    Why is the degree to which humans are affecting climate change considered a controversial issue?

    Model answer

    Conclusions may be influenced by the interests of those making them, leading to different interpretations of evidence.

  5. 5

    What does it mean when two variables show a correlation?

    Model answer

    It means they change together, but this does not prove that one causes the other.

  6. 6

    What distinguishes a causal relationship from a mere correlation?

    Model answer

    A causal relationship exists when a change in one variable directly produces a change in another, supported by a plausible mechanism.

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