Why we don’t recognise our own biases
During my career, I’ve run a variety of group exercises designed to identify ways we could improve group performance. Typically my teams can identify areas of improvement but believe the challenges are with other people, not themselves. They suffer from the bias blind spot.
The bias blind spot is the cognitive bias of failing to compensate for one’s own cognitive biases. The term was coined by Emily Pronin, a Princeton social psychologist, who showed in a series of experiments that people rate themselves as less vulnerable to biases than the average person. In her words,
This “meta-bias” is rooted in our ability to spot systematic mistakes in the decisions of others—we excel at noticing the flaws of friends—and inability to spot those same mistakes in ourselves.
Study participants were told how a variety of cognitive biases work at the unconscious level. For example, the researchers explained that the better-than-average bias is the tendency of people to see themselves as above average for positive traits and less than average for negative ones. Despite this explanation, 63% of the participants insisted their self-assessments were accurate. Dilbert captured this sentiment perfectly:
The bias blind spot is caused by another cognitive bias – the introspective illusion. People wrongly think they have insight into the cause of their own mental states which leads them to inaccurately predict how they will behave. In fact, further introspection usually makes the situation worse. Despite popular wisdom, the researchers claim “the more we attempt to know ourselves, the less we actually understand.”
Since I have an informal background in psychology, I wrongly assumed I would be less susceptible to the bias blind spot. In fact, increased awareness can cause increased bias. And before you think you’re smarter than that, here’s another unexpected finding: The bias blind spot seems to be even more pronounced with higher intelligence.
Smart people sometimes think they are smarter than they are.
This article is published in collaboration with SAP Community Network. Publication does not imply endorsement of views by the World Economic Forum.
To keep up with the Agenda subscribe to our weekly newsletter.
Author: Jonathan Becher is the Chief Digital Officer at SAP Community Network.
Image: A man walks down a corridor in Tokyo. REUTERS/Yuya Shino.
Don't miss any update on this topic
Create a free account and access your personalized content collection with our latest publications and analyses.
License and Republishing
World Economic Forum articles may be republished in accordance with the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License, and in accordance with our Terms of Use.
The views expressed in this article are those of the author alone and not the World Economic Forum.
Stay up to date:
Behavioural Sciences
The Agenda Weekly
A weekly update of the most important issues driving the global agenda
You can unsubscribe at any time using the link in our emails. For more details, review our privacy policy.
More on Emerging TechnologiesSee all
Anja Eimer
November 1, 2024