Bias against women in the workplace

I made a French translation of this post: Ces stéréotypes qui nuisent aux femmes au travail.


We are near the end of the first quarter of the 21st century, and despite decades of a rich world history of advocating for equal rights for women, it saddens me that so many among us are still not aware of the common biases that hold back or hurt women, and it dejects me that some among us are fighting for the status quo.

International Women’s Day (March 8) is observed world-wide as a day celebrating the social, economic, cultural and political achievements of women (or, as commemoration of the struggle for women’s rights.)

2023 marks the 115th observance of the day.

Today, I’d like to raise awareness on the biases against women, as these affect women particularly in the workplace.

Indulge me as I illustrate the biases in the workplace with examples from the most excellent 60s advertising drama “Mad Men” with actor Jon Hamm as leading character Don Draper, creative director extraordinaire. The whole series tells with remarkable historical accuracy the story of women in a world of men, making their mark, becoming themselves in spite of rampant chauvinism.


  1. Bias
  2. Biases against women in the workplace
  3. Negative impact of bias in the workplace
  4. Common bias in the workplace illustrated
    1. Performance bias
    2. Attribution bias
    3. Likeability bias
    4. Maternal bias
    5. Affinity bias
    6. Intersectionality bias
  5. Be part of the solution
    1. Nobody is immune from biases
    2. Break the bias in the workplace
  6. Sources
  7. Read more

Bias

A bias is a predisposition, a preference or an inclination, especially one that inhibits impartial judgment. Biases lead to bad decisions. I could fall into the rabbit hole and digress on how economics Nobel prize winner Daniel Khaneman illustrates in “Thinking Fast and Slow” how all of us are constantly manipulated to make bad decisions (many of which benefiting capitalism) because of our biases, but I don’t have it in me to bore you with this!

Internal biases are not just hurtful, they can be harmful. When it comes to the livelihood of people, internal biases are unfair to women, and even more so to women who are far from “the norm” in their age, background, race, sexual orientation, religious beliefs.

Biases against women in the workplace

Negative impact of bias in the workplace

Individually, or compounded, these stereotypes take form in very real examples most women encounter in the workplace:

  • Unequal pay
  • Diminished responsibilities
  • Discrimination
  • Glass ceilings
  • Microaggressions
  • Sexual harassment
  • Wasted talent or missed talent
  • Burnout

Common bias in the workplace illustrated

Performance bias

This is your bad old stereotype that gender, like DNA, predisposes people to certain jobs because of their intrinsic competence. Performance of women are underestimated while performance of men are overestimated.

The gender pay gap (or gender wage gap) is a clear illustration of performance bias, where women receive less pay for performing the same work.

Example: In the first episode of the first season of the 60s advertising TV series “Mad Men”, when Rachel Menken seeks the advertising agency to help attract refined and wealthy customers to her father’s Jewish department store, a ploy of the agency owner to garner Rachel’s patronage is to invite to the meeting his only Jewish employee who comes from the mail room, so when the agency’s star creative director Don Draper enters and sees that man for the first time next to Rachel, he immediately reaches out to shake the man’s hand, assuming he must be the store owner.

Attribution bias

A sibling of the performance bias that stems from our perception of value. Attribution bias is when we believe that women’s accomplishments aren’t as valuable as that of men’s. So women are given less credit, more blame, and therefore are held to much higher standards than men in an attempt (unfortunately commonly futile) to prove their worth in the workplace.

This is attribution bias at work when even women believe their contributions to have less merit than men’s, or when women’s confidence gradually erodes as a result. It is also attribution bias which dictates that men apply to jobs or promotions when they meet 60% of the criteria, and that women abstain until they meet 100%.

The “glass ceiling” is a metaphorical invisible barrier that prevents qualified women to take jobs they deserve and rise in the workplace.

Example: “Mad Men” central character Peggy Olsen embodies the hidden gem that fate has put on the path of her own full realisation and of turning the advertising industry’s crass commercialism into witty art. She progresses through the series first as a secretary and climbs the ladder to become a junior copywriter, and then with much much much effort and difficulty, becomes the top copywriter in the office.

Likeability bias

The patriarchy provides men with the right to be assertive, to take charge, to lead and when they do it feels natural and they fulfill their role. But society expects women to be gentle, docile, nurturing, so when they assert themselves they trigger unfavourable reactions. The dissonance between traditional gender roles and exhibited traits leads to dislike. So when women assert themselves, they are called intimidating, aggressive, bossy and are disliked.

An interesting paradox of the likeability bias is that it leads to the attribution bias in a double bind: an agreeable and kind woman inspires less competence. In other words: women can not win.

Example: Megan Calvet in “Mad Men”, a former aspiring actress whose talent and abilities are plentiful, becomes Don Draper’s wife. She blooms into a liberated woman full of prospect and eventually wilts at the hands of a husband who sets her up to fail, gaslights her in all sorts of ways and ends up falling out of love with her because he doesn’t understand her.

Maternal bias

The maternal bias is the absurd belief that mothers are less committed and less competent at their jobs, that any ability or competence in the workplace is throttled once a woman becomes pregnant, and fully extinct by the time the woman becomes a mother.

This bias, which compounds the performance bias, results in fewer opportunities for women, and higher standards than fathers.

Example: Faye Miller, “Mad Men”‘s marketing research consultant, tells Don Draper that she “chose” not to have children so as to have a career. Peggy Olsen used elaborate clothing tricks to hide her pregnancy and pretended illness when she had to give birth and then gave the baby up for adoption because having a career was her life. Women with professional aspirations were often forced to make sacrifices in the 60s because employers were well within legal rights to fire women who had babies.

Affinity bias

This is the tendency people have to gravitate and tilt toward those similar in appearance, beliefs, and backgrounds. A pernicious or vicious side-effect is to tend to avoid or even dislike people or groups who are different.

Given that the workplace is dominated by white male in position of power, this bias affects women, and in particular women of colour. This is the bias that leads to most of the workplace prejudice: unfair hiring decisions, unfair promotions, ideas being dismissed or stolen.

Example: Joan Holloway of “Mad Men”, the advertising agency office manager who knows the ins and outs of the place and has achieved the highest status among the women caste, navigates the workplace upward by being savvy. She uses her wit, a lot of patience, and even pays the unimaginable price of sleeping with a potential client in the pursuit of making a partnership which is simply destroyed by Don Draper when he arbitrarily terminates that client. Ultimately Joan gets a well-deserved promotion, but not after a fair assessment of her merit, but because a man in power makes a decision on a whim.

Intersectionality bias

This bias compounds gender bias with biases against other groups. Men and women who are from three or more minorities experience that they don’t belong anywhere. Compounded biases are at the root of harmful discrimination against gender, race, sexual orientation, religious beliefs, age, disabilities, background, or all of the above.

Example: I don’t think the show addressed intersectionality bias. “Mad Men” chose to denounce racism in the workplace rather obliquely by showing anecdotal imbalance and power plays between characters as part of going deeper in their respective timelines, as if to set the stage for the abrupt and striking gesture of having the elderly eccentric agency founder Bert Cooper, the most charming and endearing character of the set, exhibit overt racism when he spotted Dawn, an eminently capable Black woman, in the lobby as receptionist. He immediately asked office manager Joan to reassign Dawn. “I’m all for the national advancement of colored people, but I do not believe they should advance all the way to the front of this office.”

Be part of the solution

Nobody is immune from biases

Did you know that in a group of 100, 76 people associate men with career and women with family?

Did you know that in a group of 100, 75 people show a preference for White people over Black people (this is even true of half of the Black participants)?

You can learn more about and even take Harvard’s Implicit Association Test (IAT)

Awareness (of the general notion of internal bias, of one’s particular biases, of the workplace common biases) isn’t enough. If you think of it, and unless you’re a vile hypocrite, you know that studies are right when they demonstrate that colleagues from diverse teams are more aware, more committed, and work better. Or when they demonstrate that organisations with more women in leadership have more generous policies and create better products.

Why? Because if women are included, it becomes easier for any other group to be included too. We all rise when women rise.

Break the bias in the workplace

  1. Raise awareness by training employees to identify and recognise bias.
  2. Reduce risk of bias by setting clear and defined criteria (for hiring, for performance review, for promotion opportunities.)
  3. Make deliberate room for gender equality, diversity, and inclusion in any case where a measured decision can be taken.
  4. Set goals for gender equality, diversity, and inclusion.
  5. Implement accountability for the goals that have been set.
  6. Audit regularly internal pay rates and gap, and gender distribution. Challenge leadership roles domination by middle-aged white cis-gender males.
  7. Make it easy, safe, and effective for anyone to speak up against bias.
  8. Give actual means to ensure that no unhealthy environment and behaviours fester.

Sources

Read more

Longest “move” streak: 908 days

I broke my “move” streak the other day for the first time in 908 days, and didn’t close my “exercise” ring in time. I noticed after work when to my surprise it was already the next day (and had been for an hour) ¯\_(ツ)_/¯
I did exercise on what to me felt like that day, but that counted for the next day.

Assuming I close my “move” ring everyday, the next time I get the “longest move streak” award is Wednesday, August 20, 2025.

Dream: my jellyfish iPhone

I had the silliest dream last night.

memoji-skeptical

My iPhone had three new pages of app icons which were in fact photos from my camera roll. I had no idea this was possible and I was baffled how these had ended up there.

I was in my office, but instead of a floor, I was wading knee-hight through the Mediterranean sea, near the shore. Actually, I was standing between my desk and the shore. The configuration of my office was exactly as I know it, except there were no walls, no roof, no floor. Just the sea of shallow waters beneath me, and the beach unseen behind me.

My iPhone was huge. The size of six or nine iPads stitched together, and it was floating on the surface of the water. But it was normal. Everything seemed normal to me, then.

A breakthrough occurred: I had just realised that selecting several of my photos was what had turned them into the app shortcuts on the iPhone screen. Several pages of those. I just needed to undo that. But long-press on them did not remove them.

When I long-pressed, instead of jiggling the icons, the iPhone produced… a sunny-side-up egg with a side of bacon.

That’s not all.

The egg white had text written on it, but insufficient contrast, so I couldn’t read it.

That was very frustrating. Also, the ebb and flow made it hard for the egg-and-bacon to not jiggle on its own. And while the giant floating iPhone was unaffected by the wavelets, the egg-and-bacon quickly started to sink.

So I kept long-pressing the humongous floating iPhone, and it kept producing sunny side-up eggs and bacon, with insufficient text contrast, which kept sinking. No matter how hard I squinted, all I could make of the text were several undecipherable grey lines.

I woke up just as the iPhone had started to produce jelly and peanut butter sample containers in addition to more of the sunny-side-up egg and bacon. Upon waking, I was wondering how many more ingredients the iPhone had “in it”, and how the heck I was going to get rid of the photos turned into icons on the iPhone screens. The photos were not even great. I guess I’ll never know!

That’s it. That’s the dream.


I was neither hungry when I woke up, nor had I eaten breakfast before going to Zzzleep. I don’t know that you can turn camera roll photos into screen shortcuts either.

Exercising: 2022 review

2022 was the third year in a row after I started exercising daily. Before 2020, I was stubbornly against any form of exercise (I don’t even know why.) This is the review post of my exercising year 2022, following the review I wrote last year.

2022 was a good year. Not as impressive as 2021. I think I overdid it back then!

Raw numbers

Collage of two screens of the Fitness Stats app that crunched the numbers for energy: 273K, exercise time: 688h, steps: 3.6M, walking and running: 2955K, hiking: 130K, running: 146K, cycling: 1315K, yoga: 27h, elliptical: 67h, total workouts: 625

I covered 2955 km (1,836 miles) walking and running.

I cycled 1315 km (817 miles) in 4 months.

I exercised 688 hours.

I engaged in 625 workouts.

To put in perspective some of these tallies (generated by the excellent and free Fitness Stats iOS app):

  • In 2022 I walked or ran more than I drove! 2900 km (1,800 miles) vs. 2500 km (1,500 miles)
  • 688 hours of exercise is equivalent to 28.6 days (roughly a month of February)
  • 625 workouts (25 fewer than last year) mean that on average I engaged in almost two different activities per day

Burnout and anemia

I became aware a few years back that I have anemia. I had been giving blood four times a year (following the recommendation for women) until I was advised that however generous I wanted to be, it was better to donate twice per year. I was medicated the first time this was diagnosed but it was just a temporary fix. My body does not absorb iron very well. And since hemoglobin carries the precious oxygen to muscles, anemia leads to fatigue. Meh. I also burned out at work after Summer. So I gradually ramped down exercising to a gentler degree.

My Apple Watch is my sidekick

I respond very well to the daily coaching of my Apple Watch. I start my “activities” on it, launch from it the music, podcasts or audio-books that I listen to via my headphones (Apple AirPods Pro or Bose QC35, both of which have noise cancellation.) I heed its reminders, enter the monthly challenges, the limited edition challenges.

Monthly challenges

In 2022 again I earned all of the monthly challenges. They are determined based on recent activities and are meant to either keep you at the same level or elevate you a bit, so that at the end of the year you have improved.

  • 366.7 km (11.8/d)
  • 17x double move goal
  • 31x close all rings
  • 15x double move goal
  • 3140 minutes (105/d)
  • 23902 kcal (797/d)
  • 31x close all rings
  • 5x double move goals
  • 22400 kcal (747/d)
  • 14x 700 kcal
  • 3x double move goals
  • 5 walking workouts

Notes: The first challenges of each quarter were not easy and required extra effort. In addition to these three (January, May, September), June was also difficult because burning almost 800 kcal everyday of the month on average required intense sessions during the weekends in order to make up for the work week where it’s usually harder to fit longer workouts. The last three of the year were really easy and I welcomed the break!

The January 2023 challenge is to cover at least 4 kilometers a day 14 times.

New gear

I got myself a nice pedal assist mountain bike 😍 early September.

Smiling middle-aged woman wearing a bike helmet standing next to a dark grey mountain bike in a steep incline covered in dead leaves
Me next to my Nakamura eSummit 950 (picture by Daniel Dardailler)

Daniel asked me in the Spring if I might like to go biking with him once. To be honest, I wasn’t that chuffed and I said “sure, why not” but I didn’t think of it anymore until he asked again in the Summer. We finally went on the last day of August. It was A BLAST! We biked in the Esterel and I loved it so much that I bought my own e-mountain bike the same evening!

I bike as often as I can. With Daniel or not. To go places.

Screenshot of my longest and furthest cycling on 13 November: 6 hours, 96 km (60 miles), elevation gain of 1067 meters (3,500 ft). The map shows the round trip from home to Fréjus.

My longest and furthest cycling was on 13 November: 6 hours, 96 km (60 miles), elevation gain of 1067 meters (3,500 ft). I managed by saving as much battery as I could.

The advertised range of that e-bike is 80 km but in practice in the area it’s more accurate to plan circuits that do not exceed 50 km.

The part that was actual mountain biking was a small 9-kilometer area which I covered in less than 30 minutes! But going there was fun (and challenging) and going back along the coast was really beautiful. Great memory!

Aside: Even less use of my car

Since my teenage boy started high school in Cannes and takes the train I no longer have to drive him. I drove under 2500 km (1,500 miles) in 2022 and refueled only 3 times (180 liters).

I have continued walking, running (and now cycling) to places, to run errands, instead of driving which I do basically for grocery shopping.

Graphs

Screenshot of the Health app: Exercise Minutes, with daily average of 113 minutes in 2022.
Daily average of exercise in 2022: 113 minutes (January peaked at 156 minutes per day on average)
Screenshot of the Health app: active energy, with daily average of 747 kcal in 2022.
Daily average of active energy in 2022: 747 kcal (January peaked at 925 kcal per day on average)
Screenshot of the Health app: steps, with daily average of 9817 steps in 2022.
Daily average steps in 2022: 9,817 (January peaked at 16,712 steps per day on average)
Screenshot of the Health app: running and walking distance, with daily average of 8 km in 2022.
Daily average running and walking distance in 2022: 8 km (January peaked at 14.3 km per day on average)
Screenshot of the Health app: cycling distance, with daily average of 31.5 km in 2022.
Daily average cycling in 2022: 31.5 km per day (August is misleading because I biked about 40 km on one day that month)
Screenshot of the Health app: activity.
Activity graphs in 2022: move, exercise (both fluctuated), stand (steady at 19)
Screenshot of the Health app: weight, with daily average of 63,12 kilos in 2022.
Weight graph for 2022: 63.12 kg on average, slight decrease

Strava’s year in sport

One of the perks of being a paying subscriber of the sports tracking app Strava is the yearly report. See below.