WEBVTT - Hard Work Isn’t The Reason For Your Success

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<v Speaker 1>We all want to believe that hard work is the

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<v Speaker 1>reason for our success. It's hard to admit that you've

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<v Speaker 1>got a leg up when you feel like you put

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<v Speaker 1>in a lot of effort to get where you are.

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<v Speaker 1>But the reality is the workplace isn't a level playing field.

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<v Speaker 1>This is game plan. Hi. I'm Rebecca Greenfield and I'm

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<v Speaker 1>Francesco Levy, and this week we're talking about meritocracy and

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<v Speaker 1>why that is such an appealing narrative and also why

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<v Speaker 1>it's not real. Oh so, before we get into it,

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<v Speaker 1>I think we need to define meritocracy, which is this

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<v Speaker 1>idea that the people who work the hardest and have

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<v Speaker 1>the most talents will succeed based on their merits. Merit accracy,

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<v Speaker 1>thanks for the etymology. Yeah, it is super appealing if

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<v Speaker 1>your company. You can kind of look around at older

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<v Speaker 1>systems where people got ahead because of who they know

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<v Speaker 1>or because they went to the right fancy private schools,

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<v Speaker 1>and you can say, well, that's clearly unfair. Let me

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<v Speaker 1>put something into place where everyone is free to submit

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<v Speaker 1>an idea to upper management and then we'll just look

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<v Speaker 1>at all those ideas and the best idea will rise

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<v Speaker 1>to the top, and it has nothing to do with

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<v Speaker 1>who you are. So it's a really nice way of

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<v Speaker 1>feeling like you've cleared up all those pesky sort of

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<v Speaker 1>issues of bias and advantage. Yeah. I think we've worked

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<v Speaker 1>in places where you look around and you say that

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<v Speaker 1>person is where they are because of how they were born. Yeah. There,

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<v Speaker 1>it's definitely kind of demoralizing whenever you work around other

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<v Speaker 1>people who you know have only kept their jobs or

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<v Speaker 1>only risen to their level because you know they had

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<v Speaker 1>the right allies in the company, or they are just

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<v Speaker 1>somehow too important to fire, or they you know, long

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<v Speaker 1>ago got some advantage and they just sort of rode

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<v Speaker 1>their status to the top, and you're here just trying

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<v Speaker 1>to make it on the value you of your hard

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<v Speaker 1>work and your ideas, or so you think. And then

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<v Speaker 1>if you work in a meritocracy, you can tell yourself

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<v Speaker 1>that the reason for your successes was your hard work

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<v Speaker 1>and that nothing else got you to where you are.

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<v Speaker 1>So it feels pretty good on a personal level too. Yeah,

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<v Speaker 1>So that's why the idea looks so good to both

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<v Speaker 1>management and workers. But I think that that ideas falls

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<v Speaker 1>and we're going to get into that more. But I

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<v Speaker 1>think before we get into it, it's interesting to look

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<v Speaker 1>back at the history of meritocracy and it started in

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<v Speaker 1>Silicon Valley, which should not be a surprise because, like i'mlie,

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<v Speaker 1>is still very obsessed with this idea. But I found

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<v Speaker 1>that the founder of Intel, when he was going to

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<v Speaker 1>start a company, as you mentioned, he was trying to

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<v Speaker 1>get away from all these old systems that he thought

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<v Speaker 1>were unfair and he didn't want to tap down hierarchy,

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<v Speaker 1>so he decided to create his company as a meritocracy

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<v Speaker 1>that awarded people's ideas and not their status in the

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<v Speaker 1>company or how many years they've been working at the company. Yeah,

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<v Speaker 1>and you're right, Silicon Valley is still totally obsessed with

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<v Speaker 1>this idea. I think maybe because a lot of the

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<v Speaker 1>substance of the work feels like tangible things you can measure,

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<v Speaker 1>like you know, it's computer code. It's it's not emotional,

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<v Speaker 1>it's not about relationships. We just we take the best

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<v Speaker 1>code and we make the best programs. And I mean

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<v Speaker 1>I'm simplifying tech here. Obviously we basically go there. YEA

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<v Speaker 1>really um, but you can you can say you have

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<v Speaker 1>some basis on which to say, Look, anybody can start

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<v Speaker 1>their own app. These days, people start companies with very

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<v Speaker 1>little money all the time. So, you know, we've really

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<v Speaker 1>created a world here in Silicon Valley where um the

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<v Speaker 1>best ideas succeed, not the you know, most advantaged people.

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<v Speaker 1>And the heroes of Silicon Valley are people who people

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<v Speaker 1>point to and say, look that they didn't go to college,

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<v Speaker 1>or they didn't finish college, or they came from nothing.

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<v Speaker 1>They're not part of these dynasties, and so their proof

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<v Speaker 1>that the meritocracy is working. But even when you look

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<v Speaker 1>at that idea, that turns out to be false. So

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<v Speaker 1>one of these years, as this guy Max love Chen,

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<v Speaker 1>who among other things, he founded yea piece, very very

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<v Speaker 1>wealthy um and people point to him is saying like, look,

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<v Speaker 1>he was an immigrant. His parents came here, they had

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<v Speaker 1>I think the Laura's three dollars in their pocket, and

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<v Speaker 1>now their son is the successful entrepreneur. But in an

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<v Speaker 1>interview he himself said that that is not true and

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<v Speaker 1>that he did have certain advantages, specifically that his parents

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<v Speaker 1>really told him that they need that he needed to

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<v Speaker 1>learn a skill, and they came with educational backgrounds and

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<v Speaker 1>they told him education was important. And he said without that,

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<v Speaker 1>he wouldn't have thought that he could have succeeded. So

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<v Speaker 1>right there, there's something that on its face looks like

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<v Speaker 1>somebody rising to the top just because of the value

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<v Speaker 1>of his work, And actually there's a lot more to it,

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<v Speaker 1>and it's pretty easy to pick apart that I do

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<v Speaker 1>more broadly in Silicon Valley, because you can just look

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<v Speaker 1>around and see, um, it's not a very diverse place.

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<v Speaker 1>I think one of the most obvious indicators that this

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<v Speaker 1>meritocracy idea isn't working in Silicon Valley is that pretty

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<v Speaker 1>much the same p will rise to the top through

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<v Speaker 1>a meritocracy as would through a more traditional system, a

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<v Speaker 1>more traditional hierarchy. And there are plenty of people who

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<v Speaker 1>think that's fine. You know, they say, look, if we

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<v Speaker 1>take away the barriers, or if we seem to be

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<v Speaker 1>taking away the barriers by just giving everybody the same access,

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<v Speaker 1>then it shouldn't matter, you know, the race or gender

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<v Speaker 1>or economic background of the people who tend to make it.

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<v Speaker 1>But then there are other ways of looking at it

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<v Speaker 1>where you say, look, if the only people who can

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<v Speaker 1>make it are still, you know, people from pretty affluent

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<v Speaker 1>backgrounds who tend to be white and tend to be male,

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<v Speaker 1>then you might want to reevaluate how merit based your

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<v Speaker 1>system really is. Yeah, and slowly some companies and people

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<v Speaker 1>in Silicon Valley are starting to see that the system

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<v Speaker 1>isn't really a level of playing field. We talked to

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<v Speaker 1>someone who used to believe in meritocracy until he very

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<v Speaker 1>recently changed his mind, Ryan Carson, as the CEO of Treehouse,

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<v Speaker 1>a coding school based in Portland, Oregon. He changed companies,

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<v Speaker 1>practices an entire outlook on education after realizing the system

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<v Speaker 1>wasn't as fair as he thought. You're now the CEO

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<v Speaker 1>of your own company. Um, you have eighty employees, You've

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<v Speaker 1>raised over a twelve million dollars. How did you get

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<v Speaker 1>to where you are now? Uh? Well, I grew up

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<v Speaker 1>in Colorado and I was exposed to computers early. I

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<v Speaker 1>was privileged in that sense, and I got interested incoding

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<v Speaker 1>when I was in ninth grade because I was lucky

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<v Speaker 1>to have a teacher say to me, Hey, Ryan, have

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<v Speaker 1>you ever heard of this thing when you tell the

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<v Speaker 1>computer what to do? And I thought, what that sounds

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<v Speaker 1>amazing and as she said, yeah, it's called programming, and

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<v Speaker 1>uh we had a class at my school. Um, so

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<v Speaker 1>I took it and fell in love. And then went

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<v Speaker 1>on to study computer science at Clorida State and graduated

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<v Speaker 1>in the year two thousand and Um. I decided that

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<v Speaker 1>I wanted some adventure in my life. So I moved

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<v Speaker 1>to England and didn't know a soul, which was exciting,

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<v Speaker 1>and I got a job as a developer. And then

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<v Speaker 1>that's when this realization kind of struck me that my

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<v Speaker 1>my degree didn't relate to what I was doing in

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<v Speaker 1>my job, and that bothered me. And so fast forward

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<v Speaker 1>seven years later, I actually started a company to to

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<v Speaker 1>solve that problem. So got involved in this idea of hey,

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<v Speaker 1>let's empower people by teaching them technology and all this

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<v Speaker 1>was founded upon this idea that tech as a meritocracy. Yeah,

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<v Speaker 1>at what point did you realize the tech world wasn't

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<v Speaker 1>a meritocracy. It was about a year ago. And so, um,

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<v Speaker 1>you know, I'm a white male, I'm straight, I'm tall,

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<v Speaker 1>I'm kind of you know, I'm educated. I grew up

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<v Speaker 1>in a middle to high income family. I just have

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<v Speaker 1>so much privilege. And I didn't really see that truly.

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<v Speaker 1>You know, I thought, hey, you know, I'm lucky. Some

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<v Speaker 1>things have gone my way. Um, but on the whole,

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<v Speaker 1>you know, I've worked hard, I've learned how to code.

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<v Speaker 1>I've gotten to where I am because I kind of

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<v Speaker 1>pulled myself up by my bootstraps. And what I realized

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<v Speaker 1>is that, um, that is just not true. I have

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<v Speaker 1>a tremendous amount of chips, you know, stacked in my favor.

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<v Speaker 1>And the reason why I found this out is because

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<v Speaker 1>about a year ago I signed the Diversity Pledge here

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<v Speaker 1>in Portland and it basically is a group of companies

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<v Speaker 1>that's that are agreeing to lean in and try to

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<v Speaker 1>work on the problem of diversity and tech and inclusion.

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<v Speaker 1>And I entered that that group, you know, thinking, hey,

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<v Speaker 1>I basically, um, you know, I'm super moral. I I'm

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<v Speaker 1>definitely not sexist. I'm definitely not racist, and I just

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<v Speaker 1>want to help um and and I run a school

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<v Speaker 1>that teaches technology. It's super affordable, it's online, so you know,

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<v Speaker 1>all people have to do is is use a school

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<v Speaker 1>like Treehouse to learn how to code, and then they

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<v Speaker 1>can pull themselves up by their bootstraps to UM. And

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<v Speaker 1>then I actually talked to people of color and women

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<v Speaker 1>in depth to say, why are we having this problem?

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<v Speaker 1>I really don't get it. Help me understand. And one

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<v Speaker 1>of the most brutal conversations. I had was with a

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<v Speaker 1>guy in Boston who said, Ryan, let me put it

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<v Speaker 1>like this. He said, you know, you coming into our

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<v Speaker 1>community as a white guy with a computer science degree.

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<v Speaker 1>You know, we're all black, and you're telling us, Hey,

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<v Speaker 1>you can get a job in tech. You know you

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<v Speaker 1>can learn, you don't need a college degree. Is just

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<v Speaker 1>like the white preachers who came into the projects and

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<v Speaker 1>tried to plant churches and told the community that they

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<v Speaker 1>had something that they needed, you know, they had a

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<v Speaker 1>solution to their problems. And he said, Ryan, I don't

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<v Speaker 1>trust you, like I don't know you. You You don't look

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<v Speaker 1>like me. Um, you know, why why should I believe you? Um?

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<v Speaker 1>And why do you think you have something that I need?

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<v Speaker 1>And that was really humbling, UM, And I think it

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<v Speaker 1>just opened my eyes to how insane the idea is that, Um,

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<v Speaker 1>everybody grew up like me and has the the access

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<v Speaker 1>and the desire and the role models. You describe this

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<v Speaker 1>period where you believed in meritocracy and then kind of

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<v Speaker 1>a turning point that you had where you realized, like,

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<v Speaker 1>were you having problems that led you to this kind

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<v Speaker 1>of you know, pivotal conclusion that changed everything yes. So

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<v Speaker 1>you know, at Treehouse we have eighty thousand students. Um

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<v Speaker 1>and and I and I might if I believed it

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<v Speaker 1>was a meritocracy, then we should see a ton of

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<v Speaker 1>people of color and women coming out of our program.

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<v Speaker 1>And we just weren't. Um And so it was kind

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<v Speaker 1>of a slap in the face that I don't understand,

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<v Speaker 1>you know why tres is only twenty five bucks a month,

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<v Speaker 1>Like this seems so affordable. You don't have to go

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<v Speaker 1>to college, Like why and uh. And it was just

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<v Speaker 1>I felt, you know, absolutely baffled by it. And uh,

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<v Speaker 1>in hindsight, it's so obvious to me that it's almost embarrassing. Um.

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<v Speaker 1>But you know, I'm so glad I see it now.

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<v Speaker 1>This idea of meritocracy is so ingrained in the technology world.

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<v Speaker 1>Have you run up against people who are just disagree

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<v Speaker 1>with you? Um, yes, all the time. And and uh.

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<v Speaker 1>I was actually on a big podcast the other day

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<v Speaker 1>and I don't want to name names, but um, you know,

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<v Speaker 1>they basically said, I don't get it. You know, are

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<v Speaker 1>you sure this isn't a meritocracy. Why can't people just

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<v Speaker 1>work harder and hustle and and teach themselves? And um,

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<v Speaker 1>I just had to say what I've been saying over

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<v Speaker 1>and over again. They weren't raised like you. I think

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<v Speaker 1>it's mostly white men that believe this. I like myself

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<v Speaker 1>and I can speak like that because the white guy

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<v Speaker 1>who grew up, you know, in a basically rich family

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<v Speaker 1>with a college degree. So I think almost every uh

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<v Speaker 1>white male that you run into probably believes this, and

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<v Speaker 1>some of us are beginning to, you know, shake off

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<v Speaker 1>those shackles and realize it's just not true and we

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<v Speaker 1>should be a part of the solution. So once you

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<v Speaker 1>came to realize all this, how did you address it?

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<v Speaker 1>What were the solutions that you started to apply to

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<v Speaker 1>your company. So the first thing that the main message

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<v Speaker 1>I heard from folks that I was talking to who

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<v Speaker 1>were people of color or women, was that it didn't

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<v Speaker 1>work for me to go and speak to the to

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<v Speaker 1>them as a group and say, hey, there's a job

0:12:43.160 --> 0:12:45.560
<v Speaker 1>for you. You know, it pays really well, you don't

0:12:45.559 --> 0:12:48.160
<v Speaker 1>need a college degree. They need to hear that message

0:12:48.160 --> 0:12:51.520
<v Speaker 1>from people like them that they trusted. So the first

0:12:51.559 --> 0:12:54.080
<v Speaker 1>thing we did was we partnered with the Boys and

0:12:54.080 --> 0:12:57.600
<v Speaker 1>Girls Club and we said, would you be willing to

0:12:57.679 --> 0:13:01.439
<v Speaker 1>give this good news? Uh two kids in your program

0:13:01.480 --> 0:13:05.480
<v Speaker 1>that are that are coming out of high school. Um,

0:13:05.559 --> 0:13:08.080
<v Speaker 1>that there are companies that will hire them if they're

0:13:08.080 --> 0:13:11.239
<v Speaker 1>willing to put in, you know, six months of effectively

0:13:11.320 --> 0:13:14.280
<v Speaker 1>night school. UM. And they said, you bet, we would

0:13:14.280 --> 0:13:17.800
<v Speaker 1>love to do that. And I think there's countless community

0:13:17.800 --> 0:13:20.400
<v Speaker 1>based organizations that we could partner with. You know, there's churches,

0:13:21.040 --> 0:13:24.520
<v Speaker 1>there's black girls who code, there's I mean, name any

0:13:24.600 --> 0:13:27.440
<v Speaker 1>community based organization that has the trust of women or

0:13:27.520 --> 0:13:30.640
<v Speaker 1>people of color, and they could do that. And then

0:13:31.640 --> 0:13:35.599
<v Speaker 1>I did the work of going to employers and saying, Okay,

0:13:36.000 --> 0:13:38.640
<v Speaker 1>you say that you want to hire diverse folks, are

0:13:38.679 --> 0:13:43.120
<v Speaker 1>you actually willing to invest in those people? Um? And

0:13:43.280 --> 0:13:45.960
<v Speaker 1>what I mean by invest are you willing to pay

0:13:46.000 --> 0:13:50.880
<v Speaker 1>for their education? Um? Are you willing to mentor them?

0:13:50.920 --> 0:13:54.880
<v Speaker 1>Are you willing to hire them as apprentices instead of

0:13:55.000 --> 0:13:57.960
<v Speaker 1>you know, demanding that you hire mid to senior level people.

0:13:58.920 --> 0:14:00.360
<v Speaker 1>If you're willing to do that, you could be a

0:14:00.360 --> 0:14:03.760
<v Speaker 1>part of the solution. And it was really actually encouraging

0:14:04.320 --> 0:14:08.520
<v Speaker 1>how quickly I got yeses. So Nike said yes, Envision,

0:14:08.640 --> 0:14:12.560
<v Speaker 1>which is a great design tool, said yes. Um. A

0:14:12.559 --> 0:14:16.640
<v Speaker 1>couple other Portland based companies said yes. A treehouse we're

0:14:16.679 --> 0:14:18.960
<v Speaker 1>ourselves were saying yes, we're going to hire out of

0:14:18.960 --> 0:14:21.560
<v Speaker 1>this program. So once you have employers who are willing

0:14:21.600 --> 0:14:25.120
<v Speaker 1>to invest and hire apprentices, and that's the key. They

0:14:25.120 --> 0:14:28.480
<v Speaker 1>need to stop demanding that they can hire you know,

0:14:28.560 --> 0:14:32.280
<v Speaker 1>mid to senior level people. UM. And then it takes

0:14:32.720 --> 0:14:35.680
<v Speaker 1>community based organizations to spread the good news and to recruit.

0:14:36.320 --> 0:14:38.000
<v Speaker 1>And then it takes a you know, a school like

0:14:38.080 --> 0:14:43.040
<v Speaker 1>Treehouse or another school to be the education piece. Um,

0:14:43.080 --> 0:14:47.760
<v Speaker 1>that's affordable. UM. Once you get that going, I were

0:14:47.800 --> 0:14:50.680
<v Speaker 1>starting to see that this is actually, um, you know,

0:14:51.280 --> 0:14:56.160
<v Speaker 1>a very primitive beginning UM to the to the answer

0:14:56.680 --> 0:14:59.840
<v Speaker 1>to this solution. It's not working exactly correctly. You know,

0:15:00.040 --> 0:15:03.600
<v Speaker 1>we're learning things. Some things aren't going correctly, but so

0:15:03.640 --> 0:15:07.560
<v Speaker 1>far it's it's exciting and I can't wait to see

0:15:07.600 --> 0:15:11.280
<v Speaker 1>how this first class does. Yeah, how many people are

0:15:11.320 --> 0:15:13.200
<v Speaker 1>in the class and how long have you been doing it?

0:15:13.240 --> 0:15:15.720
<v Speaker 1>And have any of them landed jobs? It's a small

0:15:16.120 --> 0:15:20.560
<v Speaker 1>um trial. So it's twelve folks are in the class. Um,

0:15:20.600 --> 0:15:23.760
<v Speaker 1>they're all Latin X, which is interesting. UM. I think

0:15:23.760 --> 0:15:27.120
<v Speaker 1>it was just kind of um, the look of the draw.

0:15:27.400 --> 0:15:29.840
<v Speaker 1>As far as the Boys and Girls Club in Portland

0:15:29.840 --> 0:15:33.320
<v Speaker 1>and who they were recruiting. UM. They are currently going

0:15:33.360 --> 0:15:37.000
<v Speaker 1>through the program. They're about two months in UM. And

0:15:37.400 --> 0:15:41.080
<v Speaker 1>you know, the employers were all really excited, UM. And

0:15:41.440 --> 0:15:44.800
<v Speaker 1>the class is doing well. This it is not without

0:15:44.800 --> 0:15:48.080
<v Speaker 1>its challenges. I mean, you know, these folks are some

0:15:48.160 --> 0:15:52.120
<v Speaker 1>of the hardest working people I've ever met. UM. But

0:15:52.280 --> 0:15:54.720
<v Speaker 1>you know, some of these folks are working fifty hours

0:15:54.720 --> 0:15:58.560
<v Speaker 1>a week plus learning on treehouse and you know they're

0:15:58.600 --> 0:16:02.240
<v Speaker 1>getting paid you know, bare minimum wage. UM. A lot

0:16:02.280 --> 0:16:05.520
<v Speaker 1>of them have challenges with their families where UM. You know,

0:16:05.640 --> 0:16:08.280
<v Speaker 1>for instance, a mother in law has kicked them out

0:16:08.280 --> 0:16:11.640
<v Speaker 1>of the house because of various issues, and they're trying

0:16:11.680 --> 0:16:15.640
<v Speaker 1>to make it on their dad's couch. You know, at work,

0:16:15.840 --> 0:16:20.400
<v Speaker 1>you know there's significant challenges. UM. But even with that,

0:16:20.440 --> 0:16:23.080
<v Speaker 1>we're seeing, UM, a lot of hope and a lot

0:16:23.120 --> 0:16:26.120
<v Speaker 1>of hard work and a lot of excitement. UM. So

0:16:26.320 --> 0:16:28.720
<v Speaker 1>I'm excited. You know we're gonna learn. It's not gonna

0:16:28.720 --> 0:16:32.080
<v Speaker 1>work perfectly. And that's exactly the point, Like we can't

0:16:32.160 --> 0:16:36.680
<v Speaker 1>fix diversity inclusion. And you know, one program in one year,

0:16:36.960 --> 0:16:39.960
<v Speaker 1>it'll take you years and years of hard work. You

0:16:40.040 --> 0:16:44.840
<v Speaker 1>mentioned that some of your students have trouble balancing their jobs,

0:16:44.960 --> 0:16:49.280
<v Speaker 1>their work week, with with coding school. And I thought

0:16:49.320 --> 0:16:52.800
<v Speaker 1>it was interesting that you talk about these issues of access.

0:16:52.920 --> 0:16:56.200
<v Speaker 1>You know, treehouse is affordable, but at the same time

0:16:56.200 --> 0:16:58.280
<v Speaker 1>it's it's a luxury to be able to devote time

0:16:58.280 --> 0:17:00.720
<v Speaker 1>to something even at night, if you have of you know,

0:17:00.840 --> 0:17:05.040
<v Speaker 1>full time job and let's say childcare or family responsibilities.

0:17:05.400 --> 0:17:08.240
<v Speaker 1>And I wonder if there are other examples of things

0:17:08.280 --> 0:17:12.040
<v Speaker 1>like that that became apparent to you once your eyes

0:17:12.040 --> 0:17:15.399
<v Speaker 1>were open to how not level this playing field is, yes,

0:17:15.600 --> 0:17:21.600
<v Speaker 1>and big eye openings with what women have to deal with. Um.

0:17:21.640 --> 0:17:26.439
<v Speaker 1>I think it was just by really listening to folks

0:17:26.480 --> 0:17:30.679
<v Speaker 1>like Susan Fowler at uber and and then talking to

0:17:30.800 --> 0:17:36.360
<v Speaker 1>more women and saying is this like common, this totally insane,

0:17:36.880 --> 0:17:41.160
<v Speaker 1>disgusting behavior, and over and over pep women saying yes, Yeah,

0:17:41.160 --> 0:17:42.800
<v Speaker 1>of course it is. I've been dealing with stuff my

0:17:42.800 --> 0:17:47.159
<v Speaker 1>whole life, and and and and being shocked by that,

0:17:47.240 --> 0:17:49.879
<v Speaker 1>but then over and over hearing it to the point

0:17:49.880 --> 0:17:51.959
<v Speaker 1>where I had to believe it. One thing we did

0:17:52.000 --> 0:17:55.560
<v Speaker 1>at Trios is we anonymized our our job application, so

0:17:55.640 --> 0:17:59.080
<v Speaker 1>there's no name, there's no there's no indication of age

0:17:59.600 --> 0:18:04.680
<v Speaker 1>or or race or gender, or anything, And UM, what

0:18:04.760 --> 0:18:07.200
<v Speaker 1>was brutal is that we actually started hiring more women

0:18:07.200 --> 0:18:12.639
<v Speaker 1>when we did that. And I know it's and it's sad,

0:18:12.760 --> 0:18:15.160
<v Speaker 1>isn't it. I mean it's it's like, hey, aren't we

0:18:15.800 --> 0:18:19.120
<v Speaker 1>aren't we okay? Here? Aren't we not sexist? But it

0:18:19.119 --> 0:18:24.080
<v Speaker 1>it proves almost everybody has hidden biases and you have

0:18:24.160 --> 0:18:28.680
<v Speaker 1>to systematically root them out, UM, and not just say, oh,

0:18:28.920 --> 0:18:31.480
<v Speaker 1>we think we're okay, because you're probably not. I just

0:18:31.560 --> 0:18:33.520
<v Speaker 1>want to ask one last question. And we're talking a

0:18:33.560 --> 0:18:36.840
<v Speaker 1>lot about getting in the door being hired, and you

0:18:36.840 --> 0:18:39.560
<v Speaker 1>wrote a post on medium about Leslie Miley, who is

0:18:39.760 --> 0:18:43.119
<v Speaker 1>UM one of the few black engineers at Twitter to

0:18:43.359 --> 0:18:45.520
<v Speaker 1>rise up very high in the company, but he ultimately

0:18:45.600 --> 0:18:48.320
<v Speaker 1>left because he couldn't figure out how to get the

0:18:48.320 --> 0:18:51.320
<v Speaker 1>company to hire more people like him. So what do

0:18:51.400 --> 0:18:53.040
<v Speaker 1>you think about that? What are you doing about that?

0:18:53.119 --> 0:18:55.439
<v Speaker 1>Once you have these people at the companies, how do

0:18:55.480 --> 0:18:58.879
<v Speaker 1>you make sure that the company is still inclusive? So

0:18:58.960 --> 0:19:01.280
<v Speaker 1>you bring up a vital point. It Really what I'm

0:19:01.359 --> 0:19:05.919
<v Speaker 1>learning is that it's a two pillar solution and you

0:19:05.960 --> 0:19:09.840
<v Speaker 1>can't just UM fix the talent pipeline. You also have

0:19:10.000 --> 0:19:15.080
<v Speaker 1>to do massive inclusion training. UM. And so you know,

0:19:15.200 --> 0:19:19.320
<v Speaker 1>at Treehouse we're getting really aggressive about doing inclusion training,

0:19:20.040 --> 0:19:24.879
<v Speaker 1>especially for managers. Uh And and what's interesting though is

0:19:25.040 --> 0:19:27.200
<v Speaker 1>Google did this and it didn't work. I mean, look

0:19:27.200 --> 0:19:32.880
<v Speaker 1>at James Demore right, uh, ugly sexist behavior right that

0:19:33.000 --> 0:19:38.200
<v Speaker 1>was unchecked, unnoticed. Uh and and it wasn't rooted out.

0:19:38.280 --> 0:19:44.080
<v Speaker 1>So it means that inclusion training isn't enough. And so um,

0:19:44.440 --> 0:19:47.720
<v Speaker 1>it's a you know, the tough answer is I don't

0:19:47.760 --> 0:19:51.480
<v Speaker 1>know exactly, you know, systematically how to fix this issue

0:19:51.520 --> 0:19:54.320
<v Speaker 1>other than the CEO needs to identify it as a

0:19:54.359 --> 0:19:58.320
<v Speaker 1>problem and fund it um and aggressively work on it

0:19:58.359 --> 0:20:02.399
<v Speaker 1>for years. Other as nothing will change. Well, thank you

0:20:02.440 --> 0:20:05.479
<v Speaker 1>so much for taking the time and talking to us.

0:20:11.680 --> 0:20:15.879
<v Speaker 1>Ryan said a lot about underrepresented groups and women and

0:20:15.920 --> 0:20:19.240
<v Speaker 1>people of color and how they're treated differently in the workplace.

0:20:19.520 --> 0:20:22.120
<v Speaker 1>And I think all of that stuff is really important.

0:20:22.160 --> 0:20:24.680
<v Speaker 1>But before we go too far down the road of

0:20:25.960 --> 0:20:28.960
<v Speaker 1>discrimination against certain groups, we should explain that the reason

0:20:29.000 --> 0:20:32.280
<v Speaker 1>we're talking about that stuff in this specific context isn't

0:20:32.280 --> 0:20:36.359
<v Speaker 1>so much just to point out inequality. It's to say

0:20:36.400 --> 0:20:39.719
<v Speaker 1>that there's all kinds of invisible things that you don't

0:20:39.880 --> 0:20:43.760
<v Speaker 1>really see that can make the playing field uneven. And

0:20:43.800 --> 0:20:46.399
<v Speaker 1>that has to do with, you know, the group that

0:20:46.440 --> 0:20:48.159
<v Speaker 1>you come from and the advantages and the access that

0:20:48.200 --> 0:20:51.879
<v Speaker 1>you had. Yeah, hearing him tell his story of his upbringing,

0:20:52.280 --> 0:20:54.320
<v Speaker 1>he pointed out some of these things, but you could

0:20:54.359 --> 0:20:57.800
<v Speaker 1>even hear some of the other things that helped him

0:20:57.880 --> 0:21:00.480
<v Speaker 1>get where he is today. So you know, he not

0:21:00.600 --> 0:21:03.080
<v Speaker 1>only came from an upper middle class background and happened

0:21:03.080 --> 0:21:05.440
<v Speaker 1>to go to college, but he said he had a mentor,

0:21:05.520 --> 0:21:08.840
<v Speaker 1>and he said that his school happened to teach computer science.

0:21:08.880 --> 0:21:11.919
<v Speaker 1>I think all those little things our advantages that he

0:21:12.040 --> 0:21:14.520
<v Speaker 1>had that other people didn't. Yeah, it just goes to

0:21:14.560 --> 0:21:17.960
<v Speaker 1>show how far back you have to go to really

0:21:17.960 --> 0:21:20.399
<v Speaker 1>be able to see all of the access points and

0:21:20.520 --> 0:21:23.280
<v Speaker 1>entry points that you get towards you know, what ends

0:21:23.320 --> 0:21:25.800
<v Speaker 1>up being a good career. And you know, if you

0:21:25.840 --> 0:21:27.520
<v Speaker 1>set up a system at the end of it and

0:21:27.560 --> 0:21:31.640
<v Speaker 1>you say all good ideas are welcome, I think the danger,

0:21:31.840 --> 0:21:34.240
<v Speaker 1>Like a meritocracy is a good idea, and we should

0:21:34.240 --> 0:21:38.040
<v Speaker 1>all be working toward something that really feels fair, that

0:21:38.080 --> 0:21:40.200
<v Speaker 1>has you know, where people are judged on their merit.

0:21:40.560 --> 0:21:43.200
<v Speaker 1>But I think the danger is in setting up a

0:21:43.240 --> 0:21:46.080
<v Speaker 1>system and then leaving it alone. Because you think you've

0:21:46.119 --> 0:21:49.000
<v Speaker 1>done enough because you've taken away the obvious barriers, because

0:21:49.000 --> 0:21:51.400
<v Speaker 1>there's so many more settle barriers and they go way, way,

0:21:51.400 --> 0:21:55.200
<v Speaker 1>way deep into our histories. So it's about creating those

0:21:55.240 --> 0:21:58.600
<v Speaker 1>systems and then doing lots more to sort of reach

0:21:58.680 --> 0:22:03.560
<v Speaker 1>back and find those other kind of hidden inequalities and

0:22:03.920 --> 0:22:07.200
<v Speaker 1>try to level the playing field in other ways. Sounds

0:22:07.240 --> 0:22:10.639
<v Speaker 1>like a lot of work. Yeah, it's like it's like

0:22:10.760 --> 0:22:13.080
<v Speaker 1>Ryan said, companies have to be willing to do it. Yeah,

0:22:14.160 --> 0:22:20.119
<v Speaker 1>and out of time for half pick takes, happy fake takes,

0:22:21.480 --> 0:22:23.480
<v Speaker 1>you can call in with your own half baked take

0:22:23.560 --> 0:22:28.320
<v Speaker 1>at two and two six one seven zero one six six. Francesca,

0:22:29.359 --> 0:22:33.600
<v Speaker 1>what is your too hot to handle opinion that you

0:22:33.680 --> 0:22:39.280
<v Speaker 1>need to share? Um, this is nominally about office where

0:22:39.560 --> 0:22:42.320
<v Speaker 1>I would like to I would like some help understanding,

0:22:42.920 --> 0:22:44.760
<v Speaker 1>maybe from our male listeners, if you want to weigh

0:22:44.760 --> 0:22:49.159
<v Speaker 1>in why it seems like a lot of men don't

0:22:49.280 --> 0:22:56.000
<v Speaker 1>understand the difference between a skirt and address. They're very

0:22:56.080 --> 0:23:00.760
<v Speaker 1>distinct items of clothing. I understand that men don't wear them,

0:23:00.800 --> 0:23:02.840
<v Speaker 1>but it seems to me like the difference is really

0:23:02.880 --> 0:23:06.520
<v Speaker 1>obvious and it's not like, you know, it's not like

0:23:06.800 --> 0:23:08.760
<v Speaker 1>being a man and not knowing the difference between like

0:23:09.400 --> 0:23:13.000
<v Speaker 1>eyeliner and eyeshadow, Like it's not that obscure and they're

0:23:13.119 --> 0:23:15.399
<v Speaker 1>super different. Okay, Okay, I think you need to back

0:23:15.560 --> 0:23:18.119
<v Speaker 1>up and tell us why you think men don't know

0:23:18.160 --> 0:23:22.080
<v Speaker 1>the difference, because, over the course of my adult life, dozens,

0:23:23.920 --> 0:23:27.959
<v Speaker 1>maybe more hundreds, nay thousands, Okay, I don't know if

0:23:27.960 --> 0:23:30.439
<v Speaker 1>I know thousands of men, but plenty of men have

0:23:30.640 --> 0:23:34.439
<v Speaker 1>said things like nice dress when they met, nice skirt,

0:23:34.680 --> 0:23:38.320
<v Speaker 1>or the other way around. Yeah, I think it's happened

0:23:38.359 --> 0:23:40.680
<v Speaker 1>to me now that you're saying it. It has. Yeah,

0:23:40.720 --> 0:23:43.600
<v Speaker 1>it's happened, it has, so it must be true. It's

0:23:43.640 --> 0:23:47.840
<v Speaker 1>it happens a lot. And then, actually, female listeners and you, Rebecca,

0:23:47.920 --> 0:23:49.719
<v Speaker 1>should try this. Ask a few of the men in

0:23:49.720 --> 0:23:52.520
<v Speaker 1>your life, challenge them to tell you the difference between

0:23:52.520 --> 0:23:54.879
<v Speaker 1>a skirt and address, and I bet you will find

0:23:54.920 --> 0:23:56.760
<v Speaker 1>a few of them don't know. By the way, if

0:23:56.760 --> 0:23:59.840
<v Speaker 1>anybody doesn't know a skirt only covers the bottom half

0:23:59.840 --> 0:24:03.240
<v Speaker 1>of your body, it seems obvious to us. But I

0:24:03.280 --> 0:24:04.840
<v Speaker 1>guess it's just like I'm trying to think of a

0:24:04.840 --> 0:24:09.080
<v Speaker 1>male equivalent, like a thing that I thought we don't know. Well,

0:24:09.200 --> 0:24:11.200
<v Speaker 1>the thing men wear that women don't wear, that is

0:24:11.320 --> 0:24:14.840
<v Speaker 1>very outward, that is very public that I just feel

0:24:14.840 --> 0:24:16.720
<v Speaker 1>like you should know as a man, the difference between

0:24:16.720 --> 0:24:18.240
<v Speaker 1>a skirt and a dres A man as like an

0:24:18.280 --> 0:24:21.120
<v Speaker 1>adult who's not a child, who knows what clothing means. Also,

0:24:21.160 --> 0:24:23.399
<v Speaker 1>I describe it as like a skirt as part of

0:24:23.400 --> 0:24:26.040
<v Speaker 1>a two piece outfit, right, and addresses like one dress

0:24:26.040 --> 0:24:29.399
<v Speaker 1>as a whole piece of clothing. Yeah, so yeah, he

0:24:29.520 --> 0:24:33.040
<v Speaker 1>heard it here first defining dress. Yeah, he's finding a

0:24:33.040 --> 0:24:36.040
<v Speaker 1>lot of angry listener feedback on this for men who

0:24:36.040 --> 0:24:38.639
<v Speaker 1>do know the difference. And um, just for the record,

0:24:38.680 --> 0:24:40.800
<v Speaker 1>are our producer Magnus is a man, and he did

0:24:40.880 --> 0:24:44.240
<v Speaker 1>correctly identify the difference between a skirt and address. Becca,

0:24:44.480 --> 0:24:48.439
<v Speaker 1>what's your half big take? So we had a recent

0:24:48.480 --> 0:24:53.080
<v Speaker 1>long weekend, and my half bag take is that if

0:24:53.119 --> 0:24:55.879
<v Speaker 1>you stay in town for the long weekend, it feels longer.

0:24:56.760 --> 0:24:59.800
<v Speaker 1>Amen to that because I was in the city all

0:24:59.800 --> 0:25:03.280
<v Speaker 1>three days and it went on forever. Must be nice

0:25:03.280 --> 0:25:07.320
<v Speaker 1>because I went on a trip And yeah, you basically

0:25:07.320 --> 0:25:09.840
<v Speaker 1>have to leave leave on the third day, so you

0:25:09.840 --> 0:25:12.680
<v Speaker 1>don't really get the day. There's all that travel time

0:25:12.760 --> 0:25:15.800
<v Speaker 1>plus it's just like activity packed, which I think can

0:25:15.840 --> 0:25:20.359
<v Speaker 1>make things feel shorter. Yeah, I'm right, I'm right, but

0:25:20.359 --> 0:25:22.880
<v Speaker 1>but but I just I like going away, so it's hard. Yeah,

0:25:22.960 --> 0:25:25.280
<v Speaker 1>and it's like I actually came back from a long

0:25:25.320 --> 0:25:28.840
<v Speaker 1>weekend feeling like usually when people ask how your weekend was, like,

0:25:29.640 --> 0:25:33.119
<v Speaker 1>the pithy refrain is like, m it was too short,

0:25:33.600 --> 0:25:35.400
<v Speaker 1>And I was like, this weekend was kind of too long,

0:25:35.640 --> 0:25:38.119
<v Speaker 1>Like I didn't know. Okay, Okay, I get it. You

0:25:38.160 --> 0:25:40.720
<v Speaker 1>stayed in town and the greatest weekend. No. I stayed

0:25:40.720 --> 0:25:44.320
<v Speaker 1>in rainy Brooklyn and found ways to entertain my baby.

0:25:44.359 --> 0:25:50.439
<v Speaker 1>I was ready to get back to work. Okay, I

0:25:50.520 --> 0:25:56.680
<v Speaker 1>just shamed you hating your weekend. And this has been

0:25:56.720 --> 0:26:03.240
<v Speaker 1>half big takes, ha fake takes. Thanks for listening to

0:26:03.280 --> 0:26:05.520
<v Speaker 1>another episode of game Plan. You can find me on

0:26:05.560 --> 0:26:10.480
<v Speaker 1>Twitter at rs Greenfield and I'm at Francesco today. If

0:26:10.560 --> 0:26:13.000
<v Speaker 1>you have thoughts, have fig takes, or your opinion on

0:26:13.040 --> 0:26:14.879
<v Speaker 1>scripts versus dresses, you can tweet at us. You can

0:26:14.920 --> 0:26:17.040
<v Speaker 1>also leave us a voicemail at two and to six

0:26:17.240 --> 0:26:21.160
<v Speaker 1>seven zero one six. If you want to hear from

0:26:21.240 --> 0:26:23.960
<v Speaker 1>us more often, and I know you do, you should

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<v Speaker 1>sign up for our newsletter. You can find it at

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<v Speaker 1>Bloomberg dot com Slash Newsletters. You just scroll down, find

0:26:29.080 --> 0:26:31.440
<v Speaker 1>the game plan one, check the box and then you'll

0:26:31.440 --> 0:26:33.160
<v Speaker 1>get it. It's really not as hard as she's making

0:26:33.160 --> 0:26:34.679
<v Speaker 1>it sound. I just want to make sure you know

0:26:34.720 --> 0:26:37.000
<v Speaker 1>how to do it. Another thing that's really easy if

0:26:37.080 --> 0:26:40.080
<v Speaker 1>you like our show is to go to Apple podcast

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<v Speaker 1>or wherever you listen, give us a rat and give

0:26:42.560 --> 0:26:44.800
<v Speaker 1>us a review, and just help support what we do

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<v Speaker 1>and get it in in front of more people. This show

0:26:47.280 --> 0:26:50.560
<v Speaker 1>was produced by Liz Smith and Magnus Henrickson. And we'll

0:26:50.560 --> 0:27:18.400
<v Speaker 1>see you next week good bye. Yeah, fine, I'll do that,

0:27:18.440 --> 0:27:20.439
<v Speaker 1>but it's annoying. That's just annoying. I have to go

0:27:20.480 --> 0:27:22.479
<v Speaker 1>downstairs and get a tea bag and go back upstairs

0:27:22.520 --> 0:27:26.440
<v Speaker 1>and get my tea. Can't you just get hot water? Oh?

0:27:26.560 --> 0:27:28.679
<v Speaker 1>Got hot water and bring it down. Yes, I can

0:27:28.720 --> 0:27:29.439
<v Speaker 1>do that, Okay,