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Lessons from Formula One

机译:一级方程式的教训

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摘要

"It was a great fight and I don't think there was anything wrong," announced racer Lewis Hamilton, who was accused of cutting a comer at the Belgian Formula One Grand Prix. As I watched, I mused about corner-cutting in science, and whether such practices are justified or even necessary in order to succeed. When data are presented, the reader or listener assumes they are robustly reproducible. One trusts that quantitative results are based on an adequate number of experimental replicates and reproducible results, and that the design includes appropriate controls. Are such assumptions necessarily valid? Much may be left unsaid, especially in a culture in which it is important to save face.
机译:赛车手刘易斯·汉密尔顿(Lewis Hamilton)被控在比利时一级方程式大奖赛上切角,他说:“那是一场伟大的战斗,我认为没有什么错。”正如我所看到的,我一直在思考科学的捷径,以及这种做法是否合理甚至是成功的必要条件。呈现数据时,阅读者或听众都认为它们是可重现的。人们相信定量结果是基于足够数量的实验重复和可再现结果,并且设计中包含适当的对照。这样的假设是否一定有效?可能还有很多话要说,特别是在一种重要的文化中,要保存面子。

著录项

  • 来源
    《Nature》 |2008年第7218期|p.138|共1页
  • 作者

    Amanda Goh;

  • 作者单位

    Agency of Science, Technology and Research in Singapore;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自然科学总论;
  • 关键词

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