Even Short Periods of Meditation Will Reduce Racial Prejudice

Screen Shot 2015-11-28 at 6.01.45 PMNovember 24, 2015

Now this is encouraging news: A new study finds that just seven minutes of meditation can reduce racial prejudice. The study, from the University of Sussex, was published in the journal Motivation and Emotion. It used the Buddhist mediation technique of loving-kindness meditation, which promotes unconditional kindness towards oneself and others.

The lead researcher Alexander Stell, said: “This indicates that some meditation techniques are about much more than feeling good, and might be an important tool for enhancing inter-group harmony.” This form of meditation is aimed at generating feelings of happiness and kindness towards oneself and others through conscious focus on repeating thoughts and phrases that are positive and beneficent, while visualizing a particular person.

According to Stell, “We wanted to see whether doing loving-kindness meditation towards a member of another ethnic group would reduce the automatic preference people tend to show for their own ethnic group.”

In the study, a sample of 71 white, non-meditating adults were each given a photo of a gender-matched black person and either received taped LKM instructions, or instructions to look at the photos and notice certain features of the face. Both conditions lasted just seven minutes. Details of the experiment are described in this summary from the University.

The researchers found that just seven minutes of loving-kindness meditation directed to a member of a specific racial group (in this case, a black person) was sufficient to reduce racial bias towards that group. Additionally the researchers measured levels of positive emotions that were either ‘other-regarding’ (e.g. love, gratitude, awe, elevation) and those that were more self-directed (e.g. contentment, joy, pride). They found that people doing loving-kindness meditation showed large increases in other-regarding emotions. Those emotions were found to be what drives the reduction of bias.

Credit: Bigstock

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