biases

英 [ˈbaɪəsɪz]

美 [ˈbaɪəsɪz]

n.  偏见; 偏心; 偏向; 偏爱; 特殊能力; 斜裁
v.  使有偏见; 使偏心; 使偏向
bias的第三人称单数和复数

柯林斯词典

• N-VAR 偏见；偏心；偏袒
  Biasis a tendency to prefer one person or thing to another, and to favour that person or thing.
  1. Bias against women permeates every level of the judicial system...
     各级司法机构普遍存在对女性的偏见。
  2. There were fierce attacks on the BBC for alleged political bias.
     英国广播公司因被指具有政治偏见而遭到猛烈抨击。
• N-VAR 偏好；偏爱
  Biasis a concern with or interest in one thing more than others.
  1. The Department has a strong bias towards neuroscience.
     这个系特别偏重神经科学。
• VERB 使有偏见；使偏向
  Tobiassomeone means to influence them in favour of a particular choice.
  1. We mustn't allow it to bias our teaching.
     我们决不允许它影响我们的教学。
• PHRASE 斜裁
  A dress or skirt that is cuton the biasor that isbias-cuthas been cut diagonally across the material so that it hangs down in a particular way.
  1. The fabric, cut on the bias, hangs as light as a cobweb off a woman's body.
     这块斜裁料如蛛网一般轻盈地从一女子身上垂下来。
  2. ...a bias-cut dress.
     斜裁裙装

双语例句

• But many biases are simple and unconscious.
  但许多偏见是简单而无意识的。
• Human institutions change and evolve and channel the basal biases of our nature.
  人类习俗改变，进化和沟通着我们的天性中的基本偏向。
• Both managers and associates need to be aware of their personal biases.
  无论是管理者和同伙都需要知道他们的个人偏见。
• Sometimes strangers can offer the most creative ideas because they do not share your assumptions or biases.
  有时候，陌生人可能会提供出最具有创造力的想法，因为他们没有你的假设和偏见。
• But concerns about an employee's effectiveness often reflect the biases of employers, not customers.
  但是对员工工作效率的考虑经常只能反映雇主而非客户的偏好。
• Instead of bombarding people with science, they should design policies that use our cognitive biases.
  不应该用科学道理去轰炸民众，而是应该根据我们的认知偏差来设计政策。
• Mr. Bock asked one of these researchers, Brian Welle, to begin a project on hidden biases.
  博克责成团队中的研究员布莱恩·威勒（BrianWelle）开展了一个针对隐蔽性偏见的项目。
• Recognize conceptual biases that interfere with good risk management.
  确认影响良好风险管理的概念偏见。
• Stereotypes represent designer or researcher biases and assumptions, rather than factual data.
  它代表设计师或者研究者的偏见和假设，而不是实际的数据。
• When are people's judgments prone to bias, and what is responsible for their biases?
  当一些人的判断容易出现偏差，以及对他们的偏见负责呢？