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Overconfidence Bias: The Trap of Overconfidence

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Overconfidence Bias: The Trap of Overconfidence
Overconfidence Bias: The Trap of Overconfidence

Definition: overconfidence bias (case of overconfidence)

The Overconfidence bias describes the tendency to overestimate one's own judgment, decision-making capacity, or professional competence. People with this bias often rely too much on their gut feeling and experience — even if objective data suggests a different assessment.

Examples of overconfidence bias

Sound familiar?

You're not applying because you don't fulfill 100% of the skills from the job ad? Then you're probably a woman. Studies show that on average, men apply if they only meet 60% of the requirements — women, however, often only when they completely agree. However, it is not only applicants who overestimate or underestimate themselves, but also HR managers.

What is the reason for that?

This is due to hubris

The overconfidence bias refers to the tendency to overestimate one's own judgment.

In personnel selection, this cognitive distortion means that HR managers, for example, are so impressed by their own experience that they believe they can make the right selection decision based on just a few, sometimes irrelevant, criteria. They rely on their instincts — the famous gut feeling.

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 being able to make more objective decisions within personnel selection.

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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