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Ad hoc is a Latin phrase meaning literally ' for this '. In English , it typically signifies a solution designed for a specific purpose, problem, or task rather than a generalized solution adaptable to collateral instances (compare with a priori ).
Ad hoc is a Latin phrase meaning "to this". Ad hoc or Ad Hoc may also refer to: Ad Hoc at Home, a 2009 cookbook by Thomas Keller and Dave Cruz; Ad hoc hypothesis, a sometimes dubious method of dealing with anomalies in philosophy and science; Ad hoc network, a type of technology which allows network communications on an ad hoc basis; Ad Hoc ...
In science and philosophy, an ad hoc hypothesis is a hypothesis added to a theory in order to save it from being falsified.. For example, a person that wants to believe in leprechauns can avoid ever being proven wrong by using ad hoc hypotheses (e.g., by adding "they are invisible", then "their motives are complex", and so on).
Ad hoc hypotheses are justifications that prevent theories from being falsified. Possible explanations can become needlessly complex. It might be coherent, for instance, to add the involvement of leprechauns to any explanation, but Occam's razor would prevent such additions unless they were necessary.
[AD] [AE] It is a basic statement, because it is possible to separately determine the kind of environment, industrial vs natural, and the relative fitness of the white-bodied form (relative to the black-bodied form) in an area, even though it never happens that the white-bodied form has a high relative fitness in an industrial area.
quoad hoc: as to this Used to mean "with respect to" some named thing, such as when stating what the law is in regards to that named thing. R: Rex or Regina King or Queen. In British cases, will see R v Freeman meaning Regina against Freeman. Changes with King or Queen on throne. ratio decidendi: reason for the decision
Move over, Wordle and Connections—there's a new NYT word game in town! The New York Times' recent game, "Strands," is becoming more and more popular as another daily activity fans can find on ...
In statistics, hypotheses suggested by a given dataset, when tested with the same dataset that suggested them, are likely to be accepted even when they are not true.This is because circular reasoning (double dipping) would be involved: something seems true in the limited data set; therefore we hypothesize that it is true in general; therefore we wrongly test it on the same, limited data set ...