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Affinity bias (mini-me effect): The similarity error

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Affinity bias (mini-me effect): The similarity error
Affinity bias (mini-me effect): The similarity error

Definition: Affinity Bias (Mini-Me effect, similarity error)

The affinity bias — also known as the mini-me effect, affinity distortion, or similarity error — is an unconscious bias in which people tend to prefer those who are similar to them. This may relate to common interests, backgrounds, experiences, or other personal characteristics.

Examples of affinity bias

Sound familiar?

You particularly like the new colleague because you are both Victoria Berlin fans and happened to grow up in the same city.

What is the reason for that?

This is due to the similarity error

Affinity bias in hiring describes our tendency to like and hire people who are similar to us — whether through shared hobbies, education, or even ethnicity.

A single characteristic perceived as positive is generalized into an overall positive impression of the person. The standard here is resemblance to oneself, which is why this is also referred to as the “Mini-Me Effect” (Voss, 2014).

People who are similar to you automatically appear more likeable, and you tend to attribute positive qualities to them (Agarwal, 2018). This mechanism rests on the illusion that, because you already know yourself well, you can also accurately judge the other person.

What else is a bias? We explain:

A bias generally describes a systematic distortion in human perception, thinking, or behavior. It is a type of “mental abbreviation” or bias that subconsciously influences our judgment and decision making.

These distortions can result from personal experiences, cultural influences, emotional states or evolutionary thought patterns. While they often help us make quick decisions, they can also lead to miscalculations and irrational decisions.

Other examples of biases in the HR process include:

Identifying our own biases is the first step towards becoming more aware and more objective decisions within personnel selection to be able to meet.

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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