In job interviews there are too many biases and prejudices: even a simple handshake is decisive to get hired

In job interviews there are too many biases and prejudices: even a simple handshake is decisive to get hired

All activities that involve a discretionary decision in a context of many variables are usually doomed to bias, prejudice and noise : popular juries, certain medical diagnoses, academic evaluations and, of course, job interviews.

It is therefore not surprising that interviewers tend, often without being aware of it, to prefer candidates who are culturally similar to them or to those with whom they have something in common, such as sex, ethnicity or background , such as and as this 2012 study suggests.

A simple handshake

In addition to the biases (such as that beauty plays an important role in the interview: an ugly and lanky person will have more problems getting hired), there is also noise, as defined by Daniel Kahneman in his book titled, precisely, Noise . In other words, different interviewers also react differently to the same candidate and reach different conclusions.

Being hired, then, does not depend only on your skills as a worker, but on the type of interviewee you have had. Or the day of the week that worker is performing his job. Or even the first impression (the quality of a handshake is a surprisingly significant predictor of hiring recommendations, as this 2002 study suggests):

For example, there is strong evidence that hiring recommendations are linked to impressions created in the casual relationship phase of an interview, those first two or three minutes of friendly chat to put the candidate at ease.

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What is the solution to solve this problem? Basically, more mechanize the hiring processes. There are people who trust people. In the professionals. Even in human judgment. And, on the other hand, he considers the guidelines or algorithms to be cold, rigid and allergic to empathy .

However, all these romantic ideas can be easily dismantled if we take a look at how judges, doctors or pilots are clearly wrong when they stop mechanizing their judgments, diagnoses and decisions, as you can see in the following video.