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Criteria That Strongly Affirm Causality When You Are Relying on Observational Data

Relying on your observations requires careful professional judgment, even when the circumstances seem to clearly point to a common-sense conclusion. Some researchers, for example, have noted that the more specific or localized the effects, the easier it is to identify the cause. Other researchers disagree.

Theoretical or biological certainty varies according to the circumstances. Sometimes, a stressor has a distinctive mode of action that suggests its role. For example, patterns of change observed in fish and benthic invertebrate communities could serve as indicators for different types of anthropogenic impact (e.g., nutrient enrichment versus toxicity).

Listed below you can see the types of criteria that would strongly affirm causality. Try to think of an example. Click each criterion to see discussions and examples.

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