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Editorial: an analysis of failure

机译:社论:对失败的分析

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While clearing up a box containing lecture notes for lectures given over the last 40 years I came across quite a large file on forecasts and forecasting. Many of the collected clippings seem quite surprising in the current climate of opinion e.g. ' "Containers will never catch on" said a leading liner shipowner at Southampton yesterday' (1968). 'Sixty economists for OCL made serious mistakes in estimating future profitability of the proposed service as they assumed the containers would last forever and would never get lost' (around 1970). At the end of the 1960s leading consultants advised the American, French, Italian "and UK governments to build great passenger liners, as the United States were doing, when with the falling demand and the benefit of hindsight we obviously would have suggested the opposite. And of course it wasn't only maritime economists that made mistakes. A University (Polytechnic) memo instructed all courses to contain some liberal studies. It suggested that by 1990 most people would only have to work say one day a week. (In the early 1970s many were convinced that robots would do all the work.) Doctors used to say 'Go to work on an egg' and, in fact, from every branch of science one can list numerous lists of mistakes and false assertions. Even Einstein, we are now assured didn't get it right. Of course much depends on how you define a failure or a wrong assertion. Weather forecasters will blandly assert that they are correct for most of the time, so they must have their own personal definition of correctness.
机译:在清理一个包含过去40年来的讲义的讲义的框时,我遇到了很多有关预测和预测的文件。在当前的舆论氛围下,例如,从中收集的许多剪报似乎都令人惊讶。 “集装箱永远不会追上,”南安普敦的一位班轮船长说:“昨天”(1968年)。 “ OCL的六十位经济学家在估计拟议服务的未来获利能力时犯了严重错误,因为他们认为这些集装箱将永远存在并且永远不会丢失”(大约1970年)。在1960年代末,主要顾问建议美国,法国,意大利和英国政府像美国一样,建造庞大的客运班轮,而在需求下降和事后观察的好处下,我们显然会提出相反的建议。当然,不仅仅是犯错误的是海洋经济学家,大学(理工学院)的备忘录指示所有课程都应包含一些通识教育。该建议表明,到1990年,大多数人只需要一周工作一天。 1970年代初期,许多人坚信机器人可以完成所有工作。)医生过去常说“去做一个鸡蛋”,实际上,从科学的每个分支中,都可以列出许多错误和错误主张。我们现在可以放心,它做对了,当然很大程度上取决于您定义失败或错误声明的方式。天气预报员会平淡地断言他们在大多数情况下都是正确的,因此他们必须对自己的定义正确性。

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