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Anchor bias: The anchor effect

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Anchor bias: The anchor effect
Anchor bias: The anchor effect

Definition: anchor bias (anchor effect)

The Anchor Bias — also known as anchor effect — describes the tendency to rely excessively on the first information received (the “anchor”) and to base later assessments on it. This makes it difficult to objectively evaluate new information.

Examples of anchor bias

Sound familiar?

You want to be fairly compensated for your internship. In your first job interview, it is revealed to you that you never actually get paid a salary during internships. In the second interview, you will be offered a minimum wage. You gratefully accept this even though the salary is actually below your idea of fair compensation.

What is the reason for that?

This is due to the anchor effect

The anchor bias (also known as the anchor effect) means that we rely too heavily on the initial information we receive about a topic.

We interpret information from our anchor's reference point rather than looking at it objectively. You now rate the salary of the second job interview higher because the first interview has set the anchor “Internships are actually never paid.”

The anchoring bias is one of the strongest effects in psychology. Many studies have confirmed its effects and shown that we are often guided by values that are not even relevant to the task at hand. And yet it is regardless of whether we came up with the anchor ourselves or whether it was given to us.

For example, HR managers are looking for a new person for the vacant position in marketing. Since Dora worked there before, they are now creating a requirement profile based on Dora's skills, experience and other characteristics. Now they judge all talents on the basis of anchor Dora. So you're actually looking for a second Dora, not a talent with individual strengths for the vacant marketing position.

Sources

  • Furnham, A., & Boo, H.C. (2011). A literature review of anchoring bias. The Journal of Socio-Economics, 40 (1), 35-42.

How structured pre-selection helps avoid this distortion is shown by Aivy's assessment procedures.

This effect is one of 17 patterns that shape hiring decisions. The overview is in Unconscious Bias in Recruiting.

Florian Dyballa

CEO, Co-Founder

About Florian

  • Founder & CEO of Aivy — develops innovative ways of personnel diagnostics and is one of the top 10 HR tech founders in Germany (business punk)
  • More than 1 million digital assessments used by over 1,200 companies such as Lufthansa, Würth and Hermes
  • Three times honored with the HR Innovation Award and regularly featured in leading business media (WirtschaftsWoche, Handelsblatt and FAZ)
  • As a business psychologist and digital expert, combines well-founded tests with AI for fair opportunities in personnel selection
  • Shares expertise as a sought-after thought leader in the HR tech industry — in podcasts, media, and at key industry events
  • Actively shapes the future of the working world — by combining science and technology for better and fairer personnel decisions
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