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Must it Always be about Sex

Joshua Wehner • September 29, 2011 • New Orleans, Louisiana • Talk

The talk by Joshua Wehner at RubyConf 2011 addresses the pressing issue of diversity within the Ruby community, highlighting its various dimensions including gender, race, age, and economic diversity. Wehner begins by presenting alarming statistics regarding the participation of women in computer science, noting that in 2009, females constituted only 18% of AP Computer Science takers and held about 25% of computer-related jobs. Additionally, he points out the lack of racial diversity, with only a quarter of one percent of computer science professors in North America being black, and files the issue further under age and economic disparities within the community.

Key points discussed include:

- Low participation rates: The number of women attending Ruby events is significantly low, with statistics showing that in a recent Ruby conference, only 39 out of 750 attendees were women.

- Barriers to entry: Wehner emphasizes that bias starts early, citing studies that reveal an implicit bias in how resumes are evaluated based on names and genders. He discusses how many job ads favor applicants with extensive open-source contributions, which may unintentionally discourage those unable to devote extra time due to personal obligations.

- Impacts of diversity: He suggests that diverse teams yield better results and innovation. Wehner provides examples from various studies indicating that diverse groups deliberate better and produce more notable work. For instance, diverse juries discussed more facts compared to homogeneous ones.
- Culture Dynamics: Wehner points to a prevailing culture of arrogance and pride within the community that has driven away many potential contributors and emphasizes the need for a collaborative environment.

- Practical solutions: He offers tangible steps to enhance diversity, such as anonymizing job applications to eliminate bias, creating an inclusive language in job postings, and being receptive to different experiences in order to foster a more welcoming community.

In conclusion, Wehner urges the attendees to actively seek to change the stereotype of who a programmer is, advocating for an environment that embraces diversity not only for ethical reasons but also for the substantial impact it has on innovation and community strength. He believes that through collective effort, it is possible to reshape the Ruby community into a more diverse and innovative space.

Must it Always be about Sex
Joshua Wehner • New Orleans, Louisiana • Talk

Date: September 29, 2011
Published: December 12, 2011
Announced: unknown

Why do some people keep talking about diversity? Who cares if we're all the same? So long as we're not technically discriminating against anyone, that means we're good, right? If we only get applications from white dudes, that must mean that white dudes are the only ones out there. Right? Right? When we feel threatened, we find comfort among people who seem most like us. As specialization increases in the community, we glom on to people who look like us, talk like us, and think like us. There's safety in a crowd. But there are real dangers in becoming too much alike: monotony breeds more monotony. Real innovation happens when you think different than everyone else. What happens when we ruthlessly eliminate different thinkers, as we winnow the stack of resumés to those that seem most likely to "fit in"? Come to this talk to find out what you can do to diversify - yourself, your organization, and your peers - and how you can help grow a better, stronger, more diverse community.

RubyConf 2011

00:00:13.639 thank you so my name is Joshua weiner uh I'm
00:00:19.980 talking today about diversity I'm talking about the diversity problem in the Ruby community
00:00:26.220 and I'm going to talk a bit about why it's a problem and some things we can do together to try to fix it
00:00:33.600 so that just stopped hold on
00:00:38.760 yes better okay what diversity problem what am I talking about I want to start with gender diversity in
00:00:46.200 2009 girls were just 18 of the AP Computer Science takers uh so there's a
00:00:53.039 bunch of AP tests chemistry history physics um this 18 of computer science that's
00:00:58.379 the lowest female ratio of any AP test uh women currently hold about half of
00:01:04.320 all professional occupations in the United States but only about 25 percent of computer-related occupations
00:01:11.040 um in 2009 women earned about 18 of all computer science degrees this is down in
00:01:16.320 1985 it was about 37 of all computer science degrees
00:01:21.600 um there's research by Maria clave that computer science I.T and Engineering are among the few fields that are actually
00:01:27.479 getting worse a lot of other traditionally male dominated Industries like law or medicine they've been
00:01:33.840 getting better in recent years well we're getting worse uh it's it's hard to come up with an
00:01:39.720 exact number for something like the Ruby Community but we could look at something like attendance at a large Ruby event so
00:01:45.600 like last year's Ruby comp uh we had 750 total attendees 39 women that's about
00:01:51.060 five and a half percent this year's hurricane we have about 500
00:01:56.520 attendees 30 women this is we're now at six percent
00:02:05.820 um it's a little tricky to come up with numbers for something like open source in general there's a big survey done a
00:02:11.160 few years ago now it isn't always possible to determine someone's gender from their open source contribution
00:02:16.260 sometimes it's just an email address or a GitHub handle but where it is possible uh this survey found that women were
00:02:23.700 about one percent of all open source contributors but we don't just have a gender
00:02:30.480 diversity problem we have a racial diversity problem the the statistics may be a little old
00:02:37.020 right now but as of 1997 one quarter of one percent of all computer science
00:02:42.180 professors in North America were black
00:02:47.819 but we have other diversity problems we have an age diversity problem most of us
00:02:53.160 in the Ruby Community are in our 20s or maybe early 30s there aren't a lot of people that are much older than that in the Ruby community
00:02:59.700 we have an economic diversity problem
00:03:09.000 a lot of us in the Ruby Community can afford a Macbook an iPhone an iPad we
00:03:15.000 might be looking to buy a MacBook Air and we can afford to replace them every year when Apple produces a new one
00:03:21.659 that's not true of most of the rest of the world especially right now
00:03:26.819 we have an operating system diversity problem most of us in the Ruby Community are
00:03:32.580 using a Mac and the Windows Experience for Ruby was really bad for a really long time because there weren't enough
00:03:39.120 people in the Ruby community that used windows that were aware of the problems it's gotten a little better lately but
00:03:44.940 for a lot of people their first experience with Ruby is on Windows I know for me it was so having that experience be bad might
00:03:51.900 be people might be keeping people from entering the community who might be sort of Ruby curious but having that initial
00:03:57.540 experience be so bad might be keeping them away
00:04:09.780 the important thing to me is that in our field big discrimination is relatively
00:04:15.120 rare compared to a lot of other Industries there's not a lot of overt sexism or racism but there's a lot of
00:04:22.260 small discrimination small bias that starts at a very young age there was a survey that if a family owns exactly one
00:04:28.800 computer it's most often found in the bedroom of the oldest boy
00:04:34.979 there's this really interesting project yes
00:04:43.380 um this one exactly this one did not but we'll get to a little bit more of that
00:04:48.780 later and I can talk about that I can talk your ear off it's it's a little outside the scope here but we can we
00:04:53.880 might get to it okay um there is this project called project implicit it's run by Harvard University
00:04:59.060 I'll have links to everything later on Twitter I so the idea with project implicit is to
00:05:05.880 come up with an objective measure of bias they have around 40 different tests you can take they can give you a bias score
00:05:13.259 I'm going to run through one just to kind of give you an idea of how they work uh so the test I took to make these
00:05:19.860 screenshots is looking at bias and gender in the workplace so the way it works is they're going to
00:05:25.320 give you a prompt so the first set are coming from one of two categories there
00:05:30.720 it's either going to be a man's name or a woman's name um they use I think the E key for the
00:05:36.300 left side of the keyboard and the I key for the right side so they prompt you with a name if it's a man's name you hit
00:05:43.020 the sort of left side of your keyboard a woman's name you hit the right side you do this like 15 or 20 times 15 or 20
00:05:48.900 different names and then they give you a second set of words again in this test the second set are like family related
00:05:56.160 words so things like children or parents home the second set of words are career
00:06:01.320 related words words like manager office or salary
00:06:06.780 where it gets interesting is when they combine all four categories together now they're still prompting you with one
00:06:12.180 word at a time but this time it can be either a man's name a woman's name a family related word or a career related
00:06:18.840 word what the test is actually measuring is your speed
00:06:24.120 how long it takes you to answer each prompt for me and for most people there's a
00:06:29.819 slight bias you're slightly faster when they combine man's name and career
00:06:35.280 related words on the same side of the screen and slightly slower when they combine women's names and career related
00:06:41.400 words on the same side of the screen the idea is that this speed represents an internal bias are our brain's
00:06:48.900 tendency to run in a certain direction we're geeks we like having measurements
00:06:54.300 and benchmarks and I think this is really useful to get a sense of what sort of prejudice I might be bringing to
00:06:59.759 the table they have a bunch of other tests they have tests that look at things like age race they have some that
00:07:06.419 use photos instead of words um I again I'll post links later but I really recommend if you get a chance
00:07:12.060 later to run through some of their tests and just get a sort of a baseline get a sense of where you're coming from
00:07:17.819 they've done similar studies looking at the same phenomena happening in the real world they look they find a job ad
00:07:25.860 they create nearly identical fake resumes the details are very similar same work
00:07:34.020 experience same educational background the difference is the name at the top of the resume
00:07:39.360 they find that the more that name sounds like a white man's name the more likely they already get a call back for an
00:07:45.599 interview in some cases twice as likely
00:07:51.060 um they also did a version of this where they attach a photo if it's a man's name in a man's photo their odds of getting a callback go up
00:07:58.380 compared to a man's resume without a phono uh if it's a woman's name in a woman's
00:08:04.259 photo even like similarly attractive photos of the woman's name with a
00:08:09.599 woman's photograph their odds of getting a callback go down this statistic holds up even when the
00:08:16.199 hiring manager is a woman or a minority
00:08:21.539 but why should we care why does this stuff matter why is diversity so important
00:08:26.940 I think a lack of diversity can blind us to prejudices we may have
00:08:32.039 um I'm curious how many of you have a cell phone that looks something like this big color touch screen runs a lot
00:08:39.180 of apps okay and how many of you have a cell phone that looks like this
00:08:45.060 okay for those of you who've never seen it before this is the Nokia 1100 this is
00:08:52.860 the most popular web capable cell phone in the world there are 250 million units sold to date
00:09:00.540 there were 50 million units sold in the last year alone that's about the same as iPhone 4's
00:09:08.040 total sales now it's mostly in Africa in the
00:09:13.500 developing world this is a really rugged phone it can it can work in really harsh environments and it's affordable it
00:09:20.220 costs about 30 US dollars um my point is if if you're building a
00:09:26.459 rails website and you're making it mobile friendly and you mean it runs on one of these you're missing out on 250 million
00:09:33.600 potential customers who get online every day with one of these
00:09:40.620 but more than just a bias and sort of our empathy there's research that suggest diverse
00:09:47.160 teams actually perform better they looked at transcripts from juries like jury deliberations they found that
00:09:54.120 diverse juries deliberated longer and discussed more facts from the case than all white are all male juries
00:10:02.880 they've done similar research looking at patent filing I know software patents are sort of controversial but in general
00:10:10.920 the patents created by mixed gender teams were cited More Often by other work in the patent world that's
00:10:17.580 considered a sign that they're more Innovative or more useful even though women are only involved in
00:10:23.160 about nine percent of all patent filings in the United States
00:10:29.580 and there's this phenomena called imposter syndrome it's this feeling that other people
00:10:36.600 expect you to be performing at a level that you just aren't capable of
00:10:42.060 um this is inaccurate the people who have this they're by any objective measure but any sort of performance
00:10:47.399 evaluation they are very highly performing people but they feel like they're sort of internal sense of their
00:10:54.000 capabilities is not matching up with what they think other people expect them to be capable of it's not only
00:11:00.959 experienced by women anyone can feel like an imposter but there's research that suggests when you're a minority in
00:11:06.600 your field when you don't see peers or role models that look like you you're
00:11:11.760 more likely to feel like an alien or an outsider or an imposter
00:11:17.820 so we have people who are extremely capable but feel like they aren't and are constantly afraid that they're going
00:11:23.940 to be discovered and there's this thing where at a neurological level your brain is not
00:11:30.839 capable of experiencing fear and creativity at the same time the part of the brain that experiences
00:11:36.600 fear produces this chemical block that shuts off your ability for creative thinking
00:11:43.260 so a lack of diversity may be leading us to miss business opportunities it may cause us to have weaker teams and
00:11:51.000 less creativity and less innovation the thing that concerns me especially
00:11:56.640 for gender diversity are the studies showing we're getting worse that women are actively leaving the field
00:12:01.800 there was a survey of 3 700 women Engineers people have degrees in engineering or have worked as Engineers
00:12:07.800 who've since left 25 said their reason for leaving had something to do with family maybe they
00:12:14.339 wanted to start a family or move to be near family 75 percent so the reason for leaving engineering
00:12:21.120 had to do with a hostile workplace culture three-fourths the women who've left
00:12:26.160 engineering said they left because of us sorry
00:12:32.940 uh this this was done a couple of years ago I think it was 2007 or 2008.
00:12:39.360 uh the women were a variety of Ages but they had left the field recently I don't
00:12:44.820 remember the exact details but I'll have links later uh well there's links in the slides and I'll slides later but
00:12:50.760 um yes
00:12:57.300 that's true um it's it's an issue but it's less visible um so I'm focusing on gender a bit
00:13:03.899 because it's 50 of the population and it's visible at a surface level but
00:13:10.019 those other things are issues too
00:13:21.899 it has nothing to do with gender thank you it's true yes okay so
00:13:27.180 what's what sort of culture have we built that's so hostile it's driving people away
00:13:36.360 I think sometimes we have a culture that's a little bit arrogant uh we're a bit boastful
00:13:41.579 we have a lot of pride in our own personal experiences and having our own ideas
00:13:47.160 I think we see this on Twitter a lot
00:13:53.940 um so I want to talk a little bit about things we can do about this Okay so
00:13:59.579 I mentioned earlier this this bias for names on resumes and applications and I see a lot in the Ruby Community uh
00:14:06.720 job ads asking people to submit their GitHub profiles along with their application and resume
00:14:13.079 uh so one concern I have with this is that every page on GitHub that has my code on it has my name and photo at the
00:14:20.220 top of that page so if you're in a position where you're
00:14:25.560 recruiting um get a friend or an accomplice to
00:14:30.779 anonymize the applications photocopy them and replace the names and photos with something like applicant one
00:14:37.800 you need someone else to help you do this so you can tie it back to the right person at the end but you want to avoid
00:14:43.440 having your initial impression be biased
00:14:48.560 places the way they get their degrees for example that's going to be really hard to do
00:14:56.180 you haven't met the person yet what you're looking at is just static sure and so you can you can anonymize that if
00:15:04.680 it's from bengalore is there a degree do you think they're probably most likely it's pretty likely of course they went to Howard University
00:15:10.800 yeah which is predominantly right there are limits but we can still
00:15:17.100 do everything we can um I have another concern about this GitHub
00:15:23.040 profile as an application matter um I hear a lot of people who are asking for this say that they're looking at
00:15:29.339 GitHub profiles to see open source contributions as a sign of passion the
00:15:34.680 idea seems to be that people who have a lot or important open source contributions must be more passionate
00:15:40.440 Developers I think that could be true but I think it could be a couple other things
00:15:46.820 there's this study where they call up couples on the phone and they ask how
00:15:52.500 they feel about sharing housework so what sort of percentage the man and woman are sharing and household chores
00:15:58.440 and child care um for couples where they said the the husband does about half
00:16:04.800 about a week after the phone call a team of researchers show up at the front door with stop watches
00:16:10.740 and they they time them every time they're doing anything involving the children household chores like laundry
00:16:17.220 or vacuuming they find that even for those couples where they said on the phone that they split things even
00:16:25.019 they find that the women are still doing three to seven times more household chores and child care every week
00:16:32.040 and the men are so I think in some cases having fewer open source contributions might just
00:16:38.339 mean that those people have better things to do with their spare time but I think
00:16:44.279 something else I think for some people passion is another word for obsession I think we have trouble in this
00:16:50.639 community finding a balance between work life and regular life and I think there are some employers who
00:16:57.000 are trying to find passionate people because they want to exploit them I think
00:17:02.880 they want to find people who work longer days and spend their weekends and free time working on company work instead of
00:17:08.880 having a life outside of the office I think in general we could be a lot
00:17:14.640 more careful about how we talk about things there was this uh this study was done by Duke University
00:17:20.120 they placed nearly identical ads
00:17:25.380 so I'm curious I Okay so I'm curious show of hands if you would
00:17:33.179 be more likely to apply to the ad on the left
00:17:38.460 it's okay okay
00:17:44.100 show of hands if you'd be more likely to apply to the ad on the right okay interesting
00:17:51.000 um so when they did the study uh they found that men were more likely to apply to
00:17:57.360 the ad on the left and women were more likely to apply to the ad on the right they've done a couple different versions
00:18:03.660 of this in different Industries and they found in general men are more likely to apply to ads that talk about individuals
00:18:10.740 and use lots of words that mean best so words like Superior or Rockstar or
00:18:18.660 Ninja women are more likely to apply to ads
00:18:23.880 that talk about collaboration or Community or teamwork so I think it's possible that some of
00:18:30.240 the ads we write May by their very like choice of words maybe turning away some
00:18:36.000 applicants in general I'm a big believer that language matters and one of the things I
00:18:42.900 think that's driving the culture of arrogance that we have is we have a very linear definition of being a programmer
00:18:48.600 you're either a newbie a rock star or you're somewhere in between on a straight line
00:18:57.059 I think that makes this environment where in order to describe yourself in relation to someone else you have to be
00:19:03.299 going one above them I think there's more to being a programmer than just being a newbie or
00:19:09.780 being awesome I'd like to have a less
00:19:16.559 I'd like to have a less linear definition of being a programmer we could have a definition that talks about the craft we could talk about
00:19:23.160 different skill sets we could talk about people as being an expressive developer like for the language they use and the
00:19:29.220 way they communicate or an empathic developer someone who's able to relate well with customers
00:19:34.260 people in other departments we could talk about someone as being a reliable developer they have consistent
00:19:39.720 output or but we could treat these things as if they're separate traits that some people
00:19:45.360 will be better at some than others and in general I think we could put a lot more emphasis on collaboration we
00:19:52.440 could Define programming as an activity where we work together as a group to collectively build something that's
00:19:58.200 greater than what any individual could have built by themselves I think if we made that the priority
00:20:03.720 we'd see a different sort of community
00:20:09.000 um I'm a big fan of this book called The no [ __ ] rule by Robert Sutton
00:20:14.700 um I I feel like I need to be clear because
00:20:19.860 [ __ ] means a lot of different things to different people and I don't just meet someone who's rude sometimes
00:20:26.280 everybody's rude sometimes I'm rude sometimes I'm talking about people who are
00:20:31.320 consistently demeaning to people they see as beneath them I think we've all worked in companies
00:20:38.039 where there's someone that guy it's usually a guy but it's not
00:20:43.740 always a guy the one you can't let in the room with the customer I don't mean the the ones that are shy
00:20:51.059 or awkward I mean the guys who are constantly talking down to everyone they think is
00:20:56.640 beneath them the designers the marketing the customers are all idiots
00:21:03.299 I think instead of talking about those guys as if they're good Developers but we just need to hide them in the
00:21:09.120 closet somewhere I think we should actually say that they're bad developers I think we should treat them as if
00:21:15.059 they're incompetent I'm not saying we kick them out but I think we should reprogram them and
00:21:20.340 train them get them to be less of an [ __ ] I'd like to be part of a ruby Community
00:21:26.640 where we knew when to argue and when to stop fighting and get stuff done
00:21:32.520 I think we could all do better at having constructive conflict instead of destructive conflict
00:21:39.659 we could fight about things that actually matter instead of small things like bits of syntax whether you use VI
00:21:46.740 or emacs whether you like tabs or spaces those are all personal preferences they
00:21:52.200 shouldn't be things we waste our time on but I think we can go further I think instead of just being a culture that
00:21:57.780 tolerates other people's differences I think we could become a culture that actively seeks out different experiences
00:22:04.320 and variety um there's this there's a guy Professor Richard Wiseman Hertfordshire
00:22:13.080 wanted to figure out what makes people lucky he put an ad in the newspaper and got
00:22:18.240 400 people either perceive themselves as being extraordinarily lucky or extra unlucky
00:22:24.299 I brought them through a bunch of experiments to see what made someone lucky and my favorite one uh he has the
00:22:31.799 subject look at a newspaper and the researchers tell them they would like them to count the number
00:22:36.840 of photographs in the newspaper lucky people do this a lot faster than
00:22:42.539 unlucky people sometimes half the time so what is it that lucky people are
00:22:48.059 doing different there's a trick about six pages into the newspaper they
00:22:54.240 hid this block of text that says stop counting there are 43 photographs in the newspaper
00:23:00.480 lucky people saw it stopped counting and told the researchers there were 43 photographs unlucky people never saw
00:23:07.320 this text the researchers thought maybe maybe it's a visual thing maybe they don't trust it
00:23:13.860 they weren't sure so they tried another version they made the letters two inches high
00:23:19.260 and this time it said stop counting until the experimenter you've seen this and win 250 dollars
00:23:25.140 still lucky people saw this unlucky people never saw it
00:23:31.860 so in order to try to figure out what makes people lucky they did some interviews they asked some questions
00:23:36.960 about their everyday lives and and things like how they got the current job they found that in general lucky people
00:23:43.380 were deliberately introducing variety into their lives they took a different path to work every day they would eat at
00:23:49.559 different restaurants and they'd order different kinds of food unlucky people took the same path to
00:23:56.100 work every day they only ever ate at the same restaurants and they only ever ordered the same food
00:24:01.380 and they would ask some questions about things like how they got the job they're in now lucky people would say things like well
00:24:07.679 it's really odd I just happened to turn down the street I never go on and there was this ad looking for people or I went
00:24:14.640 to this restaurant I'd never eaten that before and they were looking for Waiters lucky people were deliberately
00:24:20.340 introducing these opportunities we talk about this as though it's just
00:24:26.880 luck it's something that just happens to you but lucky people but by purposely introducing variety had opened
00:24:33.419 themselves up to more opportunity and give themselves great opportunity to act on it that's that's what luck really is
00:24:38.460 a combination of opportunity and ability to act I think
00:24:44.280 as developers we could spend a little bit more time outside the comfort zone
00:24:50.039 more than any other group I know we tend to have hobbies that are nearly indistinguishable from our jobs
00:24:59.039 if you're hacking all day at work and hacking all night at home I think you could maybe spend just a little bit more
00:25:04.919 time outside of that box I think if you spend a lot of your time around [ __ ] especially people that
00:25:12.059 make sexist racist or homophobic jokes I think you should find better places to be
00:25:18.780 if you're part of a regular like a Meetup User Group maybe even a ruby Club
00:25:24.720 where everyone looks like you I think maybe you should leave
00:25:31.260 I know that's a little harsh but a couple of things there are organizations that are
00:25:36.720 actively trying to improve the situation the Ruby Community there's groups like railsbridge girl develop it ladies
00:25:42.539 learning code that are out actively in the community trying to bring more diversity into the
00:25:47.640 Ruby universe but I think it's important to remember that
00:25:52.799 we're constantly being bombarded with the message that this is what a good developer looks like
00:25:58.080 at events like this majority of the attendees are men the majority of the speakers are men and online this is from
00:26:05.039 coderwall I know the photos are a little small but it's basically a bunch of dudes and a penguin
00:26:14.460 this is these are the faces the rails core team um the the made men of Ruby on Rails
00:26:21.960 I don't think this is deliberate I don't think it's on purpose but I think if you're just a casual Observer of the
00:26:27.480 Ruby community and you're wondering what does it take to be a good Ruby developer you might accidentally walk away with
00:26:33.900 the impression that it helped if you were a white man
00:26:40.740 and we get this message all the time and if you're in a regular meeting group
00:26:45.960 where everyone looks the same then it's being reinforced on a constant basis
00:26:52.620 I think we can change some of that there's this great flicker group called This is what a computer scientist looks
00:26:58.200 like where women that have computer science backgrounds post photos themselves and
00:27:03.720 the whole idea is to change this image of what computer scientists look like so that when women do come to technical
00:27:09.779 events and conferences they're always being asked whether they're designers or if they work in marketing or if they're
00:27:14.820 someone's spouse I think a lot of us as developers have
00:27:21.419 the idea that we've created a sort of perfect meritocracy we have this belief that people who
00:27:27.000 succeed in our field are there because of their own drive and strength their contributions
00:27:32.820 but there's all these little things that add up there was um there's quotes from an internal study done at MIT in the 90s
00:27:39.419 of uh female faculty members at MIT um most of the Departments didn't have very many but when they compared depart
00:27:45.720 across departments they found that women at MIT were being paid less had fewer
00:27:50.820 perks were sent to fewer conferences but they also found that their offices were
00:27:56.220 smaller when they measured them they found that women's offices were smaller by several inches even compared to like
00:28:03.299 male counterparts with similar like work experience and seniority
00:28:09.960 sorry I I bet it is
00:28:17.460 like these are like small things right like like office size maybe that doesn't
00:28:22.679 really matter but this small stuff happens all the time and it adds up
00:28:28.500 um to kind of summarize I I think we could reprogram or remove all the [ __ ]
00:28:34.640 anonymize applications and proposals we could all spend more time outside of our comfort zone
00:28:41.039 and we could all be just a little weird I don't sorry
00:28:49.200 right so I I don't mean like creepy weird
00:29:06.299 um I I I think by be weird I mean breaking outside of the box defying the
00:29:12.120 stereotypes of what a programmer is supposed to do I think stereotypes change over time
00:29:19.380 this used to be a female dominated industry 50 years ago when the US was
00:29:24.419 developing the first computer the Antioch all of the programmers were women stereotypes aren't fixed we can change
00:29:30.240 them I think people
00:29:37.620 people who can break out of stereotypes are amazing there's a lot of power in doing things that aren't expected of you
00:29:43.320 we're way more affected by other people's expectations than we think we are they've done studies where they they
00:29:49.799 show up at a school young kids like grade three or four I show up at the beginning of the year
00:29:55.440 and they give the students a test they tell the teachers that this test has been specially designed to highlight
00:30:02.460 students that are on the verge of an intellectual breakthrough a sort of like mental growth spurt
00:30:09.360 the test doesn't actually do anything like that the researchers picked 20 of the class
00:30:14.820 at random they tell the teachers that those are the students the test is identified as being on the cusp of this
00:30:21.539 growth spurt they don't tell the students they just tell the teachers
00:30:26.760 and they find that when they come back at the end of that year those students are performing way better than their
00:30:32.580 peers they spend more time working on homework their grades are better
00:30:39.179 teachers describe them as being more intellectually curious they were picked at random
00:30:46.380 what they think is happening is over the course of a year the teacher's impression that those students are about
00:30:51.419 to have a breakthrough adds up in lots of small encouragements maybe they smile
00:30:56.700 just a little bit more maybe they give them just a little bit of slack when they're having a rough day
00:31:02.940 there's there's this a lot of the research on this focuses on on young kids and
00:31:09.779 the the theme for this is called stereotype threat inoculation the the idea is sort of a like a brain
00:31:17.399 hack like counter programming changing the the idea of what's expected of people
00:31:22.440 um like there's this statistic uh girls in some places do a little bit less on
00:31:27.960 math and science than boys but they found that if the instructor at the beginning of the test says something
00:31:33.179 like you may have heard this myth that girls perform less well on these tests but the test you're about to take has
00:31:40.380 been shown to to equalize scores between boys and girls the girls scores pull
00:31:45.539 even with the boys the educational testing service the group that runs all of the standardized
00:31:51.240 tests for college admissions in the US the SAT Act they used to do this demographic survey
00:31:56.520 at the beginning of the exam they'd ask you your race your age your gender they found that just by moving that
00:32:02.779 demographic survey from the beginning of the exam to the End Girls scores on average went up four points
00:32:13.980 so if being reminded that you're not supposed to be good at something makes you less good at something
00:32:20.039 maybe we should all work harder at changing the definition of what we're supposed to be good at or what we're supposed to look like
00:32:26.279 um I love this guy this is Rosie Greer he's an American football player um he's a big guy he was a linebacker in
00:32:33.419 like the 70s and 80s he was in a coke commercial he was then uh free to be you and me
00:32:39.659 um and he loved needlepoint he used to do needlepoint between games he said it helped him relax and focus he wrote a
00:32:45.659 book Rosie Greer's needlepoint for men and I love the idea I love people who can break out of stereotypes and be
00:32:51.899 something different than what other people expect I think it's important to remember that
00:32:57.059 this is not something that's likely to change overnight programming a whole Community is hard making these sorts of changes aren't
00:33:03.480 likely to have an immediate payoff but I think it's worth it in the long run I think we can change the community I
00:33:09.779 think we can make a difference I think it's worth it to try
00:33:15.360 thank you
00:33:32.720 thank you foreign
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