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Halo & Horns Effect: Distortion due to individual features

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Halo & Horns Effect: Distortion due to individual features
Halo & Horns Effect: Distortion due to individual features

Definition: Halo & Horns Effect (distortion due to individual features)

The Halo & Horns Effect describes the tendency to give excessive weight to a single characteristic or a distinctive characteristic of a person. As a result, a positive characteristic (halo effect) or a negative characteristic (horn effect) can distort that person's entire perception.

Examples of the Halo & Horns effect

Do you know that?

You can see on an applicant's resume that they studied at a renowned university such as Harvard or MIT. You automatically think he is particularly intelligent and capable — regardless of what other qualifications or experience he has.

Or vice versa: A candidate makes an uncertain first impression during a job interview. Without further information, you subconsciously attribute to her a lack of assertiveness or low resilience.

What is the reason for that?

This is due to the distortion caused by individual features

This bias is based on the tendency to infer overall performance from one aspect of good or poor performance. The impression gained about a person then influences how one assesses their overall character (Agarwal, 2018). A single characteristic of a person influences the entire perception of their personality. 

Depending on how this trait is judged, it can then outshine or overshadow the overall impression formed of that person. This means that, figuratively speaking, you let a halo or devil's horns float over the person's head and arrive at a hasty verdict (Voss, 2014). Visiting an elite university in the example can cast a positive or negative light on the talents, depending on the assessment.

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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