Correctly convince with sympathy: Equal and equal joins like



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Also physical proximity creates sympathy. If we have more contact, we find the other more sympathetic. Members of a group discover more similarities in their environment and see more differences with others.

Correctly convince with sympathy: twins are the same and like at the same time

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People in the drawer

Overview

Equal and equal gladly joined - says the vernacular is right. And he is right. In fact, we find other people particularly exciting when they resemble us. People prefer the proximity of other people when they are as similar as possible.

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With that has Professor Narrow right. We meet people and immediately form categories regarding gender, age, or perceived wealth. These social categories are basically a very rough grid and are based primarily on visible characteristics.

Group membership = similarity

Overview

Once we have formed the appropriate groups, we attribute to the defined members of a group a greater degree of similarity than to perceive differences between them.

This is probably one of the reasons why so many books so vehemently emphasize the difference between men and women. Gender is one of the most recognizable features.

Placebo similarity is enough!

Overview

Likewise, we systematically exaggerate the difference between people from our group and others. For this reason similar or related people are often more sympathetic to us than strangers.

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It even seems sufficient if we suspect this similarity to others. OkCupid is a big American brokerage. Again, the seeking singles partner suggestions are made on the basis of matching points.

It depends on the perceived similarity

Overview

Christian Rudder, one of the co-founders of OkCupid, has systematically manipulated these numbers in an attempt. With a match of thirty percent the result was increased to sixty or ninety. Actually, these two people should match little.

The astonishing result: allegedly ninety percent agreement, the partnered users remained in contact for twice as long as the correct thirty percent. The perceived similarity seems to play at least as much a role as the actual one. Has master Professor Narrow with its complex algorithm because maybe just too much work done?

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