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Causality is an influence by which one event, ... the word "cause" is used as a specialized technical term, the translation of Aristotle's term αἰτία, ...
Idappaccayatā (Pali, also idappaccayata; Sanskrit: idaṃpratyayatā) is a Buddhist term that is translated as "specific conditionality" or "this/that conditionality". It refers to the principle of causality: that all things arise and exist due to certain causes (or conditions), and cease once these causes (or conditions) are removed.
1SG. A ferai make+ FUT + 1SG manger eat+ INF les the gâteaux cakes à PREP Jean Jean je ferai manger les gâteaux à Jean 1SG.A make+FUT+1SG eat+INF the cakes PREP Jean "I will make Jean eat the cakes." : 35 Unlike most other Romance languages, Portuguese uses a periphrastic construction like that of English, discussed below. Kiowa uses a similar mechanism. Verbs can be compounded with the ...
A tenant moves into an apartment and the building's furnace develops a fault. The manager blames the tenant's arrival for the malfunction. One event merely followed the other, in the absence of causality. [5] Brazilian footballer Pelé blamed a dip in his playing performance on having given a fan a specific playing shirt. His play recovered ...
The Latin translation of dunamis is potentia, which is the root of the English word "potential"; it is also sometimes used in English-language philosophical texts. In early modern philosophy, English authors like Hobbes and Locke used the English word power as their translation of Latin potentia. [5]
The word "cause" (or "causation") has multiple meanings in English.In philosophical terminology, "cause" can refer to necessary, sufficient, or contributing causes. In examining correlation, "cause" is most often used to mean "one contributing cause" (but not necessarily the only contributing cause).
Causality, within sociology, has been the subject of epistemological debates, particularly concerning the external validity of research findings; one factor driving the tenuous nature of causation within social research is the wide variety of potential "causes" that can be attributed to a particular phenomena.
Causal inference is the process of determining the independent, actual effect of a particular phenomenon that is a component of a larger system. The main difference between causal inference and inference of association is that causal inference analyzes the response of an effect variable when a cause of the effect variable is changed.