Sentence examples for causation which from inspiring English sources
But locomotions caused without immediate transmission were understood to be be embedded in larger patterns of causation which observed the principle of causational synonymy, and it is exactly such a larger pattern of causation which is missing in the case of celestial motions.
Handily, there are a list of criteria for establishing causation, which are named after their developer, Bradford-Hill.
For decades many incredibly intelligent, well-meaning, scientifically-minded people were absolutely convinced that various experiments and experiences with antiscorbutics proved theories of scurvy causation which we now absolutely dismiss.
In Dura Pharmaceuticals v. Broudo, the Supreme Court held that in private securities fraud cases, one element of proving a violation is "loss causation," which requires showing "a causal connection between the material misrepresentation and the loss".
Still, association does not mean causation, which is a limitation of association-based studies.
This is a case of (singularist) causation which is also a case of property persistence.
While admitting Schaffer's (2000) point that there are cases of quasi-causation which by intuition clearly count as causation, Dowe asserts that there is also an intuition of difference- other cases of quasi-causation which intuitively are not causation (2001, see also Reiber 2002).
See also Clarke 2003 for a detailed and sympathetic examination of the metaphysics of agent-causation, which ends with the conclusion that there are, on balance, reasons to think that agent-causation is impossible).
Lewis (2000) presents a new counterfactual theory of deterministic causation, in which he concedes that there are problems in probabilistic causation that his account is not yet able to handle.
Then, representations of deterministic causation can be viewed as a special case of probabilistic causation in which causes are sufficient and necessary for their effects.
4. Create a short brochure entitled "Correlation is not causation," in which you explain this principle of statistics, and give examples to support it.
