Fooling Yourself

Gary Smith, Jay Cordes
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Abstract

Clowns fool themselves. Scientists don’t. Often, the easiest way to differentiate a data clown from a data scientist is to track the successes and failures of their predictions. Clowns avoid experimentation out of fear that they’re wrong, or wait until after seeing the data before revealing what they expected to find. Scientists share their theories, question their assumptions, and seek opportunities to run experiments that will verify or contradict themselves. Most new theories are not correct and will not be supported by experiments (randomized controlled trials). Scientists are comfortable with that reality and don’t try to ram a square peg in a round hole by torturing data or mangling theories. They know that science works, but only if it’s done right.
欺骗你自己
小丑愚弄自己。科学家们不喜欢。通常,区分数据小丑和数据科学家的最简单方法是跟踪他们预测的成功和失败。小丑避免实验,因为他们害怕自己是错的,或者等到看到数据后才透露他们期望发现的东西。科学家们分享他们的理论,质疑他们的假设,并寻找机会进行实验,以验证或反驳自己。大多数新理论都是不正确的,也不会得到实验(随机对照试验)的支持。科学家们对这一现实感到满意,不会试图通过折磨数据或破坏理论来解决问题。他们知道科学是有效的,但前提是要做得正确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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