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A cause célèbre (/ ˌ k ɔː z s ə ˈ l ɛ b (r ə)/ ⓘ KAWZ sə-LEB(-rə), [1] French: [koz selɛbʁ]; pl. causes célèbres, pronounced like the singular) is an issue or incident arousing widespread controversy, outside campaigning, and heated public debate. [2]
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.
In science and engineering, root cause analysis (RCA) is a method of problem solving used for identifying the root causes of faults or problems. [1] It is widely used in IT operations, manufacturing, telecommunications, industrial process control, accident analysis (e.g., in aviation, [2] rail transport, or nuclear plants), medical diagnosis, the healthcare industry (e.g., for epidemiology ...
Etiology (/ ˌ iː t i ˈ ɒ l ə dʒ i /; alternatively spelled aetiology or ætiology) is the study of causation or origination. The word is derived from the Greek word αἰτιολογία (aitiología), meaning "giving a reason for" (from αἰτία (aitía) 'cause' and -λογία () 'study of'). [1]
also fixed eight general rules that can help in recognizing which objects are in cause-effect relation, the main four are as following: (1) The cause and effect must be contiguous in space and time. (2) The cause must be prior to the effect. (3) There must be a constant union betwixt the cause and effect.
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Normalcy bias can cause people to drastically underestimate the effects of the disaster. Therefore, people think that they will be safe even though information from the radio, television, or neighbors gives them reasons to believe there is a risk. The normalcy bias causes a cognitive dissonance that people then must work to eliminate. Some ...
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