There was a time where a group of people were hyping up “woke” topics, and the latest topic was “Unconscious bias” which is supposed to cause a certain degree of racism/sexism during the hiring or promotion process. Or maybe even leading to some microaggressions in meetings.
We were encouraged to watch a few courses on LinkedIn Learning, but it was not mandatory. Some of it was actually quite interesting.
There was one cringy moment where the presenter gave a trigger warning of sorts:
“if you feel an emotion, pause the video and deal with it. If you still feel the emotions, contact me and discuss it“
In my opinion, I think if you get overwhelmed with a simple LinkedIn Learning video, then you have bigger problems.
In my notes, I had written this claim but not sure what it means – because how do you even measure the bias:
“Research has shown that even a 1% bias in favor of promoting men changes the outcome.”
The following sounds like a decent philosophy though. If bias does exist then we do need to take it into account:
“By understanding that we’re all biased, we can make the decision to work together to be more conscious of our thoughts and actions when relating to others. Not only can we fix the current situation, we can then resolve not to do it again. Over time, it’s possible to learn to think and behave differently.”
She then makes the claim that even if you look at different aesthetics within a particular gender, you can notice trends which would suggest there is an unconscious bias at play:
“Blonde women earn 7% more than brunettes. Slim women make more money than obese.”
Some of the categories of bias are quite interesting. Halo bias probably does make a huge difference. You can say it’s like when you work with a Senior who you respect; whatever they claim in the next project you are tempted to back them and agree.
- Halo bias – “admiring all of a person’s actions because of their praiseworthy actions in the past”
- Perception Bias – “the tendency to form stereotypes and assumptions about certain groups that makes it difficult to make an objective judgment about individual members of those groups.”
- Therefore it is difficult for women to be hired in gender perceived roles. E.g. software developer
- Confirmation bias – “Seeking out evidence that confirms our initial perceptions, ignoring contrary information.” “We double-down and seek out information to justify our position.”
- GroupThink – When the desire for harmony or conformity in the group results in incorrect decision-making.
- Performance Bias – Underestimate women’s performance but overestimate men’s. Men are often hired on future potential, women hired on past performance.
- Attribution bias – Less likely to credit women for success, but more blame for failure. Women’s contribution is less valuable. Women are more likely to be interrupted when speaking.
- Likability Bias – Expect men to be assertive so like them more when they are assertive, but have a negative response to women. Agreeable and nice is perceived as less competent so need to assert themselves to be effective, but then are less liked.
- Maternal bias – motherhood is perceived as less committed and less competent. Strongest kind of gender bias. Lower performance ratings, and lower pay in future.
- Affinity bias – gravitate to people like ourselves, dislike those that are different. More likely to give positive performance ratings to those that are similar. White men’s prominence means women and those of colour are negatively affected.
- Double discrimination (intersectionality): Women, and of colour is double discrimination. 3+ minority attributes make people feel like they don’t fit anywhere.
“Woke” people seem to suggest that men are the problem when it comes to bias. However, I have seen claims that if you have an all-female panel they are often shown to be biassed towards hiring men. The claim was women don’t want to hire someone they perceive as a threat, or someone who is more attractive than them.
There was another LinkedIn course I watched that stressed the point that both genders show bias, sometimes in different ways.
There was a test where participants were shown pictures of men and women and they had to state (purely by stereotyping) if they associate them with “family” or “career”. Regardless of the participant’s gender, 76% of people associate women from the images with “family” rather than “career”.
There was also a claim which I would like to see what results back it up:
“Diverse teams tend to be more committed and work harder, and companies with more women in leadership tend to produce better business results.”
During the hiring process, there is some scope to anonymise it somewhat to try and remove any bias against gender or race, in an attempt to judge purely on merit.