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黄禹锡  近年来,越来越多的科学造假事件表明,科学研究已被很多人看做是一种既能养家糊口又可名利双收的职业。不严谨的学术评议机制吸引了大量缺乏真正兴趣且不具备资质的研究者,甚至少数心术不正者。这样的学术研究氛围不能不让我们反思其根源。本文就是一篇探讨学术造假现象的文章,它重申了科学的基本精神以及科学界的基本职业伦理——求真。

  That people, from politicians to priests, cheat and lie is taken for granted by many. But scientists, surely, are above that sort of thing? In the past decade the cases of Hwang Woo-Suk1), who falsely reported making human embryonic stem cells2) by cloning, and Jan Schön, a physicist who claimed astonishing (and fabricated) results in the fields of semiconductors and superconductors, have shown that they certainly are not. However, on these occasions the claims made were so spectacular that they were bound to attract close scrutiny, and thus be exposed eventually. In the cases of Dr Hwang and ex-Dr Schön, the real question for science was not whether it harbours3) a few megalomaniac4) fantasists, but why the frauds were not exposed earlier when the papers that made the claims were being reviewed by peers.

  Lower-level fraud, however, is much harder to detect: the data point invented or erased to make a graph look better, or to make a result that was not quite statistically significant into that scientific desideratum5), the “minimum publishable unit6)”; the results “mined” retrospectively for interesting correlations, rather than used to test pre-existing hypotheses; the photograph that has been “enhanced” to bring out what the researcher regards as the salient7) features. How often this sort of thing happens is hard to say. But Daniele Fanelli of the University of Edinburgh thought he would try to find out. His results, published in the Public Library of Science, suggest it is commoner than scientists would like the rest of the world to believe.

  Dr Fanelli’s own laboratory was the internet. He hunted down8) past surveys of scientific honesty and subjected them to what is known as a meta-analysis. This is a technique that allows the results of entire studies, which may not have used the same methods, to be pooled in a statistically meaningful way. Dr Fanelli found 18 surveys that met the criteria for his meta-analysis, and a few others that he also included in a general review.

  Admissions of outright fraud (i.e., having fabricated, falsified9) or modified data to improve the outcome at least once during a scientific career) were low. According to the meta-analysis, 2% of researchers questioned were willing to confess to this. But lower-level fraud was rife10). About 10% confessed to questionable practices, such as “dropping data points based on a gut feeling11)” or “failing to present data that contradict one’s previous research”.

  Moreover, when it came to airing12) suspicions about colleagues, the numbers went up. The meta-analysis suggested that 14% of researchers had seen their colleagues fabricate, falsify, alter or modify data. If the question was posed in more general terms, such as running experiments with deficient methods, failing to report deficiencies or misrepresenting13) data,46% of researchers had seen others get up to such shenanigans14). In only half of the cases, though, had the respondent to a survey tried to do anything about the misconduct he said he had witnessed.

  How much this actually matters is moot15). Fabricating data is a heinous16) scientific sin. It steers people down paths that do not lead anywhere and discourages them from following those that do. But cleaning data up has a long tradition. Robert Millikan17), the physicist who first measured the charge on the electron, discarded results that did not match his expectations, yet he won a Nobel prize—because he was right. The results of Gregor Mendel18), the father of modern genetics, are also suspiciously over-accurate by the tenets of modern statistics. When such practices shade into19) dishonesty is itself a shady area. Just as everyone thinks himself a better-than-average driver, these results (assuming that they are honest) suggest people are more willing to see sin in others than in themselves. And that, at least, proves something that is sometimes forgotten. Scientists are as human as everyone else.
  1. Hwang Woo-Suk:黄禹锡(1953~),曾被誉为韩国“克隆之父”,2005年被指控违背研究伦理,伪造研究成果。
  2. embryonic stem cell:胚胎干细胞
  3. harbour [5hB:bE] vt. 隐匿,窝藏
  4. megalomaniac [7megElEu5meInjE] adj. 夸大狂的
  5. desideratum [dI7zidE5reItEm] n. 所愿望之物,迫切需要之物
  6. minimum publishable unit:最小出版单位,其原意是指在同行评议的期刊上能够以最小的信息量发表的文章。这个术语通常被当做玩笑或者具有讽刺意味,指那些以牺牲质量为代价,追求最大发表数量的策略。
  7. salient [5seIljEnt] adj. 显著的,突出的
  8. hunt down:搜寻直至发现
  9. falsify [5fC:lsI7faI] vt. 伪造
  10. rife [raIf] adj. 普遍的
  11. gut feeling:直觉,第六感
  12. air [[ZE] vt. 发表意见
  13. misrepresent [5mIs7reprI5zent] vt. 不如实地叙述(或说明)
  14. shenanigan [FE5nAnI^En] n. 恶作剧,诡计,胡闹
  15. moot [mu:t] adj. 未决议的,无实际意义的
  16. heinous [5heInEs] adj. 可憎的
  17. Robert Millikan:罗伯特·密立根(1868~1953),美国物理学家,曾获1923年诺贝尔物理学奖。
  18. Gregor Mendel:格里哥·孟德尔(1822~1884),奥地利遗传学家
  19. shade into:逐渐变为