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bias

noun (a bias, biases; also uncountable); verb (bias, biases, biased, biasing)

«bias» in the English dictionary: everyday — its meanings, how the lessons use it, and examples, each with its tree on Mova.

Everyday

  1. Bias is an unfair way of favouring one person, side or idea over others, often without good reason: a referee with a bias towards one team. tree →
  2. To bias someone or something is to make them unfair or one-sided; «biased» means unfair and one-sided. tree →
  3. In maths and science, bias is when results are pushed in one direction by the way you test or collect data, so they are not fair or accurate. tree →
  4. In sewing, cutting cloth «on the bias» means cutting diagonally across the threads. tree →
  5. In bowls (lawn bowls), the bias is the weight that makes the ball curve. tree →

In the lessons

In media and citizenship lessons pupils learn to spot bias in news, adverts and websites: who wrote it, what side they want you to take, and what is left out. In science and maths, a fair test avoids bias; a survey asking only your friends is biased. In computing lessons, AI can show bias if it learns from unfair examples. Phrases: biased towards, biased against, without bias, unconscious bias, bias in a survey.

Examples

  • The referee was accused of bias towards the home team. tree →
  • This website is biased because it only shows one side. tree →
  • Ask lots of different people so your survey is not biased. tree →
  • A coin that lands on heads too often may have a bias. tree →
  • Try to read the news without bias. tree →
  • Everyone has some bias, so it helps to check other views. tree →
  • The advert biased people towards buying the sweets. tree →
  • AI can copy the bias in the data it learns from. tree →

Note

Noun: countable or uncountable (a bias, biases; some bias). Adjective: biased (spelt with one s in most places; «biassed» is rare). Pronounced «BY-us». «Biased towards» means favouring; «biased against» means unfair against. In maths: a biased dice or coin does not give each result an equal chance, so probabilities like one half or one sixth do not apply.

On Mova

This page in Markdown → https://md.dictionary.elamur.ai/free/en/english/bias/