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"Once said" A word that only occurs once. ἀπὸ μηχανῆς Θεός apò mēkhanês Theós Deus ex machina "God from the machine" The phrase originates from the way deity figures appeared in ancient Greek theaters, held high up by a machine, to solve a problem in the plot.
Once a(n) _, always a(n) _ Once bitten, twice shy; One good turn deserves another; One half of the world does not know how the other half lives; One hand washes the other; One kind word can warm three winter months; One man's meat is another man's poison; One man's terrorist is another man's freedom fighter
For example, Judge Richard Posner once remarked that falsus in uno was a "discredited doctrine" based on "primitive psychology". This assertion was not made in relation to fraudulent documentation or a "material" inconsistency; rather, it was based on what the court characterizes as "innocent mistakes, trivial inconsistencies, and harmless ...
Emotional decision-making is a common mistake investors make. Cognitive biases such as herd mentality, loss aversion, anchoring bias and hindsight bias can diminish your ability to make good ...
Disagree and commit is a management principle that individuals are allowed to disagree while a decision is being made, but that once a decision has been made, everybody must commit to implementing the decision. Disagree and commit is a method of avoiding the consensus trap, in which the lack of consensus leads to inaction.
The correct quote is 'If you build it, he will come.' 'Wall Street' Though Gordon Gekko definitely thinks greed is good, his quote is actually 'Greed, for lack of a better word, is good.'
Emotional decision-making is a common mistake investors make. According to research, cognitive biases such as herd mentality, loss aversion, anchoring bias and hindsight bias can diminish your ...
George Box. The phrase "all models are wrong" was first attributed to George Box in a 1976 paper published in the Journal of the American Statistical Association.In the paper, Box uses the phrase to refer to the limitations of models, arguing that while no model is ever completely accurate, simpler models can still provide valuable insights if applied judiciously. [1]