WEBVTT - Bloomberg Businessweek Weekend - December 21st, 2019

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<v Speaker 1>This is Bloomberg Business Week from Bloomberg Radio. Hi, I'm

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<v Speaker 1>Jason Kelly, I'm Carol Masser. Welcome to the weekend edition

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<v Speaker 1>of Bloomberg Business Week. Over the next couple of hours,

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<v Speaker 1>we've got news of the week, insights from the magazine

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<v Speaker 1>and more, and a couple of stories that are going

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<v Speaker 1>to freak you out right and some maybe you'll learn

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<v Speaker 1>something about some brands that you know you won't get

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<v Speaker 1>too freaked out, including how one private equity investor. I'm

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<v Speaker 1>very proud of this story, one big on Lulu Lemon.

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<v Speaker 1>It's not scary. They came back to fix the company.

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<v Speaker 1>There were some moments of doubt though, Yeah, but they

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<v Speaker 1>made a lot of money along the way in terms

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<v Speaker 1>of those private equity investors. So here's the freak quotient

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<v Speaker 1>if I may. And this is a story from Austin Carr.

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<v Speaker 1>It's about Silicon Valley. They're listening in. They are, I mean,

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<v Speaker 1>we all of us. You and I both have these

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<v Speaker 1>devices in our homes. Pretty much everyone we know, I

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<v Speaker 1>feel like, has a Google and Alexa or whatever it

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<v Speaker 1>is that's sitting there on your kitchen counter or whatever. Well,

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<v Speaker 1>apparently that device isn't just listening to you. There are

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<v Speaker 1>humans who are sometimes listening to you as well. This

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<v Speaker 1>is going to freak you out there all listening, You're

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<v Speaker 1>gonna be worried. Plus it's holiday time and we got

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<v Speaker 1>to visit with two rockets. They stopped by the studio

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<v Speaker 1>and it is amazing. They're in all their regalia even

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<v Speaker 1>and if you check out our respective Twitter feeds you

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<v Speaker 1>can see them. They're so good at posing. Oh my god,

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<v Speaker 1>everybody at Bloomberg was so jealous that we had them

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<v Speaker 1>and they didn't. But first, remember the Bloomberg fifty. We

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<v Speaker 1>were celebrating that in just the past couple of weeks. Well,

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<v Speaker 1>we caught up with one of the members of that list,

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<v Speaker 1>the CEO and co founder of Beyond Meat, Ethan Brown.

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<v Speaker 1>What about this year surprised you the most? What was

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<v Speaker 1>the most challenging? You know, it always is around continue

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<v Speaker 1>to educate not only the consumer of the media, around

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<v Speaker 1>just how healthy and how much our company is driven

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<v Speaker 1>by the human health imperative. If you look at the

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<v Speaker 1>products we're creating, take the Duncan sausage for example, that

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<v Speaker 1>product is fifty percent less fat. It has percent less

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<v Speaker 1>saturated fattent less sodium and has more protein and more iron.

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<v Speaker 1>So when you're beginning with a blank canvas and you're

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<v Speaker 1>able to build a piece of meat directly from plants,

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<v Speaker 1>you can leave out a lot of the things that

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<v Speaker 1>you wouldn't want to be consuming on a daily basis,

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<v Speaker 1>such as cholesterol, and you can lower things like saturated fat,

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<v Speaker 1>and you can provide the consumer with a very healthy

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<v Speaker 1>product that they get to enjoy. Yet continue to move

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<v Speaker 1>the ball forward year every year and making the products

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<v Speaker 1>healthier and healthier. So as we get into you'll see

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<v Speaker 1>us continue to drive toward goals that will enable the

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<v Speaker 1>consumer to eat what they love, but do it in

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<v Speaker 1>a way that's healthier for them. We'll talk about that

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<v Speaker 1>because I feel like that comes up often about maybe

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<v Speaker 1>this becoming even a healthier product because there is still

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<v Speaker 1>a fair amount of sodium and so on in it.

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<v Speaker 1>Do you guys think about doing some kind of reformulating

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<v Speaker 1>to lower calories, are a lower sodium amount? Is that

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<v Speaker 1>kind of in the future. So if you look at

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<v Speaker 1>the DNA of the company, we are an innovation driven company.

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<v Speaker 1>We produce all of our products here in the US,

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<v Speaker 1>and we have our our innovation center here in Los Angeles.

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<v Speaker 1>We call that Innovation Center of the Manhattan Beach Project.

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<v Speaker 1>We do that because we're near Manhattan Beach, but more importantly,

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<v Speaker 1>weren't to voke that sense of urgency and scale that

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<v Speaker 1>occurred in the Second World War with the Manhattan Project itself.

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<v Speaker 1>Were brought together the very best scientists, the best engineers,

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<v Speaker 1>the best managers and gave him a clear goal, which

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<v Speaker 1>is to build meat directly from plants. Now, when you're

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<v Speaker 1>doing that, you're always improving, and we have these parameters

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<v Speaker 1>we call the fat, flavor, aroma, punters, and texture. We

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<v Speaker 1>were constantly driving towards making the products better in each area,

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<v Speaker 1>and nutrition would of course be part of that, but

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<v Speaker 1>it's also about marketing and helping people understand the products.

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<v Speaker 1>So if you look at it beyond Burger, for example,

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<v Speaker 1>that has sixteen percent daily value of sodium, not sixty

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<v Speaker 1>but six, which is well within reason for many many

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<v Speaker 1>meals that folks will consume, such as two flower tortillas

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<v Speaker 1>or half a couple of mare narrow sauce, etcetera. So

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<v Speaker 1>a lot of it is just separating the misinformation and

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<v Speaker 1>hype from reality. This product has an extremely healthy product.

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<v Speaker 1>It's one that I consume almost daily. It's something I

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<v Speaker 1>feel very good about giving to my own children. And

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<v Speaker 1>so it's really about let's educate consumers about the health

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<v Speaker 1>of our products and about the process. We're very proud

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<v Speaker 1>of our process. If you look at how we produce

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<v Speaker 1>meat from from plants. Instead of running a lot of

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<v Speaker 1>plant material through animals and the antibiotics that go without

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<v Speaker 1>other hormones depending on the species of veterinary drugs, et cetera,

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<v Speaker 1>what we're doing is taking that protein directly from the plant.

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<v Speaker 1>We're running it through heating, cooling, and pressure, and that

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<v Speaker 1>resets the bond so that they take on that fibrous

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<v Speaker 1>texture of muscle. That's it for me. That's a much

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<v Speaker 1>better process than one that we can be proud of.

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<v Speaker 1>We offer complete transparency. You'd be welcome to come to

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<v Speaker 1>our facilities, knock on the door and we'll give you

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<v Speaker 1>a tour. People should be able to see where and

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<v Speaker 1>how their food is made. And we believe very strong

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<v Speaker 1>in that principle. And so Ethan, speaking of a different

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<v Speaker 1>sort of process, walk us through the process of assessing

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<v Speaker 1>these partnerships. You know, you name checked some of the

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<v Speaker 1>best known when it comes to you know, fast food.

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<v Speaker 1>You've also got some partnerships in casual dining. How does

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<v Speaker 1>that work? Because pun intended, it feels like everybody wants

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<v Speaker 1>a piece of this market right now, right so you

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<v Speaker 1>always want to align yourself with the marquete players. And

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<v Speaker 1>that's what we've done from the beginning of the company.

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<v Speaker 1>So when we decided to go into retail way back

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<v Speaker 1>in two thousand nine, the first company who called was

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<v Speaker 1>Whole Foods, and then we've been able to clif right

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<v Speaker 1>out through Kroger, etcetera. But when then you look at

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<v Speaker 1>our venture history, the first venture firm we worked with

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<v Speaker 1>the client of Perkins and now we have a great

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<v Speaker 1>list including Great Point Ventures and many others. Um But

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<v Speaker 1>if if you're now looking at the fast food space

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<v Speaker 1>or a quick serve restaurant space, you also want to

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<v Speaker 1>adopt the same philosophy. Who are the marquee players and

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<v Speaker 1>how do you become uh of service to them? And

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<v Speaker 1>that's what we're able to do. Whether it's McDonald's, whether Subway,

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<v Speaker 1>whether it's KFC or Duncan. We're constantly looking Carl's Jr. Hearties, etcetera.

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<v Speaker 1>We're constantly looking to serve the very best partners in

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<v Speaker 1>the space so we can grow with them. What's the focus.

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<v Speaker 1>Is it retail or food service or will it be

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<v Speaker 1>a split going forward? Our focus is entirely on the consumer.

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<v Speaker 1>It's our relationship with the consumer that makes the business

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<v Speaker 1>so special. We listen to what they say. They told

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<v Speaker 1>us no GMOs, they told us nothing artificial, they said,

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<v Speaker 1>keep everything natural. So that's what we do um and

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<v Speaker 1>that makes it harder. By the way, we would be

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<v Speaker 1>much easier genetically modified plant material to make it, uh

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<v Speaker 1>take on the text r and appearance and aroma of

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<v Speaker 1>of of animal protein. But we won't do that. And

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<v Speaker 1>so we're constantly focused on what the consumer wants. We'll

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<v Speaker 1>need to consume where they are. So if it's if

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<v Speaker 1>it's it's quick ser of restaurants will be there for them.

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<v Speaker 1>If it's retailed before them. Right now, it's about and

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<v Speaker 1>market will tell us which direction. Okay, so it could

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<v Speaker 1>change going forward, right and that's beyond meat CEO Ethan Brown.

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<v Speaker 1>For our full conversation, download this week's Bloomberg Extra podcast.

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<v Speaker 1>We've covered a wide range of topics. I mean, look,

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<v Speaker 1>this is a company that is in the middle of

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<v Speaker 1>so many megatrons. It's essentially a lifestyle brand. Yeah, and

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<v Speaker 1>this is why he's part of the Bloomberg fifty list.

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<v Speaker 1>But I also think this is gonna be a big

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<v Speaker 1>story for as well. Provocative remarks in the magazine this

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<v Speaker 1>week with the headline the problem with female CEOs isn't

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<v Speaker 1>that they are female, It's that they are CEOs. This

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<v Speaker 1>is one that everybody needs to stop and read, and

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<v Speaker 1>you're going to talk about it after you read it.

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<v Speaker 1>We've been talking about that big time, So now we're

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<v Speaker 1>gonna talk about it with the author, Rebecca Greenfield. She

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<v Speaker 1>runs all of our diversity coverage here. Edwin Rate, the

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<v Speaker 1>managing diversity team recently promoted to run that. Congratulations. Yeah,

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<v Speaker 1>I'm I'm living the truth that I write about women.

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<v Speaker 1>We have to rise through the ranks exactly. And you

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<v Speaker 1>really put it out there in this story in a

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<v Speaker 1>lot of ways and capture a moment that's really important.

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<v Speaker 1>Give us the thesis. Yeah. So I noticed something that

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<v Speaker 1>was happening, which was there are lots of companies that

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<v Speaker 1>are run and founded by women, but they also have

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<v Speaker 1>these missions that are you know, we are all for

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<v Speaker 1>gender equality, and our products are going to create this

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<v Speaker 1>gender equality, and that's great um, but then there would

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<v Speaker 1>be these scandals where employees would say, actually, I'm a

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<v Speaker 1>woman who works at this company, and you are not

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<v Speaker 1>practicing what you preach um. And we saw this happen

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<v Speaker 1>for a few years. We saw it happen at Thinks,

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<v Speaker 1>which was a company that makes underwear for women to

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<v Speaker 1>wear whether they're on their period. We saw this happen

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<v Speaker 1>at Nasty Gal, which was like a retailer for women.

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<v Speaker 1>And then more recently we've seen it or I wrote

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<v Speaker 1>about how it's kind of happening at the wing right now,

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<v Speaker 1>the coworking space, and there's been a huge backlash to

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<v Speaker 1>these companies because there's this kind of irony I think happening,

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<v Speaker 1>or like you're not practicing what you're preaching. So I'm

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<v Speaker 1>exploring that phenomenon in this piece and saying, yeah, that's

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<v Speaker 1>going to happen, because women when they become CEOs act

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<v Speaker 1>a lot like men when they become CEOs. Well, there's

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<v Speaker 1>so much there's a lot of talk to you. No,

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<v Speaker 1>I love it. I love it, and you know, I

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<v Speaker 1>do want to first let's start with some of these

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<v Speaker 1>are younger company startups, and I think this is a

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<v Speaker 1>valid point that when you're a startup, like you're costly

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<v Speaker 1>putting out fires. I mean that's an element of it. Yeah, definitely.

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<v Speaker 1>I think when you're a startup, no matter who you are,

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<v Speaker 1>what you run, what your mission is, you are under

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<v Speaker 1>a lot of constraints. Right, You get a lot of

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<v Speaker 1>money and you have to grow really quickly. You're learning

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<v Speaker 1>how to scale something. And I think what they're learning

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<v Speaker 1>is when you scale you it's hard to have you know,

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<v Speaker 1>feminism be your mission. That doesn't square with creating a big,

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<v Speaker 1>success full company, and maybe it shouldn't have to, or like,

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<v Speaker 1>why would we expect that. One of the things that

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<v Speaker 1>I really took away from this that I thought was

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<v Speaker 1>such a in many ways profound point. And you're dealing

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<v Speaker 1>with this every day, as we said running the diversity coverages.

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<v Speaker 1>There is a distinct difference, and keep me honest here

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<v Speaker 1>in the in the telling of this, between the benefits

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<v Speaker 1>of having women on a board or women in management

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<v Speaker 1>versus diversity. That seems to be at the core of

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<v Speaker 1>what you're arguing here, right. Yeah, So I think there's

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<v Speaker 1>this fallacy that we want more women to lead companies

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<v Speaker 1>because women are more compassionate than men, They're more ethical,

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<v Speaker 1>they're more and moral, they create safer workplaces, and that's

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<v Speaker 1>just not true. The research has found that's not true.

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<v Speaker 1>And in fact, that's just another gender stereotype. UM. I

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<v Speaker 1>talked to a researcher who just put it out there

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<v Speaker 1>and said, women aren't different than men in the way

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<v Speaker 1>that they lead. UM And that's the reality. And the

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<v Speaker 1>benefits of diversity come not because women are different than men,

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<v Speaker 1>because they're not that different than men, but because they're

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<v Speaker 1>diverse and that they are different than the ten men

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<v Speaker 1>who are in the room. And that's what we want

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<v Speaker 1>from diversity. We want a mixture of different types of people,

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<v Speaker 1>different point of views to kind of push back on

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<v Speaker 1>the type of homogeneous thinking that leads to bad decisions. Well,

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<v Speaker 1>and that's exactly it. That one of the things that

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<v Speaker 1>we're all trying to fight as managers in many ways

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<v Speaker 1>is group think. Right. You know that you have the

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<v Speaker 1>same experience. You have a great line in your piece

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<v Speaker 1>that talks about, you know, ten white dudes who all

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<v Speaker 1>went to the same three business schools, they're going to

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<v Speaker 1>kind of think the same way. And so what you

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<v Speaker 1>need is this diversity of opinion and experience that doesn't

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<v Speaker 1>necessarily just mean a different sort of group things exactly.

0:10:53.040 --> 0:10:56.360
<v Speaker 1>And I mean Sally Crocheck has said, I mean that's

0:10:56.520 --> 0:10:59.200
<v Speaker 1>this is one of her lines that she thinks that

0:10:59.200 --> 0:11:01.160
<v Speaker 1>that kind of group things exactly what led to the

0:11:01.200 --> 0:11:05.040
<v Speaker 1>financial crisis. And I should note that Wall Street still

0:11:05.080 --> 0:11:07.400
<v Speaker 1>looks pretty much the same as it did before the

0:11:07.440 --> 0:11:10.760
<v Speaker 1>financial crisis. And so I think, yeah, that's that's the

0:11:10.800 --> 0:11:14.080
<v Speaker 1>real benefits of diversity. And that's a lot of these companies,

0:11:14.120 --> 0:11:17.720
<v Speaker 1>these startups are also not diverse. They're just a lot

0:11:17.840 --> 0:11:21.439
<v Speaker 1>hiring people that are like themselves, other women, their experience,

0:11:21.440 --> 0:11:23.320
<v Speaker 1>their friends. They hire the people they know, they hire

0:11:23.360 --> 0:11:25.960
<v Speaker 1>the people in their networks. They often talk about how

0:11:26.000 --> 0:11:30.040
<v Speaker 1>they hire a lot of women, which is great because

0:11:30.360 --> 0:11:32.360
<v Speaker 1>you know, most companies don't look like that. So their

0:11:32.400 --> 0:11:34.440
<v Speaker 1>company is going to be diverse and a group of

0:11:34.480 --> 0:11:37.640
<v Speaker 1>other companies, but it can lead to the same group thing. Rebecca,

0:11:37.679 --> 0:11:39.160
<v Speaker 1>I think this is so important. You and I have

0:11:39.200 --> 0:11:42.040
<v Speaker 1>had this conversation because I'm very anti like, Okay, you

0:11:42.040 --> 0:11:44.720
<v Speaker 1>have the women's group, you have the LGBTQ community, like

0:11:44.800 --> 0:11:47.720
<v Speaker 1>separating everybody into groups, like unless we all work together

0:11:48.240 --> 0:11:51.199
<v Speaker 1>and really, you know, everything is together, and really think

0:11:51.200 --> 0:11:54.600
<v Speaker 1>about diversity with all of its different layers. I mean,

0:11:54.760 --> 0:11:57.320
<v Speaker 1>that's what it's all about, right, that's the goal. Yeah.

0:11:57.400 --> 0:11:59.160
<v Speaker 1>I mean I think it can help when you aren't

0:11:59.240 --> 0:12:04.160
<v Speaker 1>in a company where you're not part of the majority group,

0:12:04.240 --> 0:12:07.959
<v Speaker 1>to talk to other people about your experiences. Um, that

0:12:08.000 --> 0:12:12.920
<v Speaker 1>can help you. But I think when everyone's siloed, you're

0:12:12.960 --> 0:12:16.600
<v Speaker 1>not getting the benefits of someone else having a different perspective.

0:12:17.000 --> 0:12:18.840
<v Speaker 1>There was a study I talked about in here where

0:12:18.840 --> 0:12:21.040
<v Speaker 1>it talk Look, you know, there's a body of research

0:12:21.080 --> 0:12:24.640
<v Speaker 1>going back saying boards with women on them act more ethically.

0:12:24.920 --> 0:12:27.679
<v Speaker 1>So people have kind of jumped to the conclusion that

0:12:27.960 --> 0:12:31.760
<v Speaker 1>women are more ethical, But this researcher I talked to

0:12:31.760 --> 0:12:34.040
<v Speaker 1>you said, that's not actually what we think is happening.

0:12:34.240 --> 0:12:36.160
<v Speaker 1>What we think is happening is that somebody's in the

0:12:36.240 --> 0:12:39.120
<v Speaker 1>room who again is seeing things from a different perspective

0:12:39.160 --> 0:12:41.319
<v Speaker 1>and is pushing back against the group think that makes

0:12:41.360 --> 0:12:44.960
<v Speaker 1>unethical decisions, or the group just by having an outside

0:12:45.000 --> 0:12:47.559
<v Speaker 1>member in it isn't going to be so bold and

0:12:47.679 --> 0:12:50.520
<v Speaker 1>doing things that are unethical. They kind of check themselves.

0:12:50.520 --> 0:12:52.920
<v Speaker 1>And so that's the kind of benefits of diversity that

0:12:53.000 --> 0:12:55.080
<v Speaker 1>I think we want to see. So one of the

0:12:55.080 --> 0:12:58.320
<v Speaker 1>things that I think folks might react to when they

0:12:58.360 --> 0:13:02.240
<v Speaker 1>read the story is the US and we've seen this

0:13:02.360 --> 0:13:04.840
<v Speaker 1>with me too to some extent, sort of the backlash

0:13:04.880 --> 0:13:07.559
<v Speaker 1>to the backlash right, and this idea that all right, well,

0:13:07.559 --> 0:13:10.440
<v Speaker 1>we're just giving up on women running companies now. So

0:13:10.559 --> 0:13:13.719
<v Speaker 1>that didn't work, So let's go back to where we

0:13:13.720 --> 0:13:16.560
<v Speaker 1>were before. Do you worry about that sort of happening

0:13:16.600 --> 0:13:19.000
<v Speaker 1>in the world. Um, I hope that's not the message

0:13:19.000 --> 0:13:22.880
<v Speaker 1>of this story is getting across. Um. Men, companies run

0:13:22.880 --> 0:13:24.800
<v Speaker 1>by men act like this all the time. I can

0:13:24.880 --> 0:13:29.080
<v Speaker 1>name so many. I mean, there's Uber, there's we Work,

0:13:29.480 --> 0:13:34.079
<v Speaker 1>There's lots of companies run by men that have similar problems.

0:13:34.120 --> 0:13:37.280
<v Speaker 1>So I don't think women are any worse than men.

0:13:37.400 --> 0:13:40.000
<v Speaker 1>I just think it's a setback for us to set

0:13:40.000 --> 0:13:42.520
<v Speaker 1>them to this higher standard because when they don't mean

0:13:42.520 --> 0:13:45.199
<v Speaker 1>it them, you know, they're penalized even more than that.

0:13:45.200 --> 0:13:48.679
<v Speaker 1>That's Rebecca Greenfield, who drives our diversity coverage in the magazine,

0:13:48.720 --> 0:13:51.600
<v Speaker 1>remarks provocative remarks in the magazine this week. Yeah, I

0:13:51.640 --> 0:13:56.400
<v Speaker 1>really liked this because it's a nuanced argument in many ways. Obviously,

0:13:57.000 --> 0:14:00.960
<v Speaker 1>gender in the workplace different genders in lee leadership is

0:14:01.040 --> 0:14:03.400
<v Speaker 1>much more complicated than just like, hey, let's have more

0:14:03.440 --> 0:14:05.440
<v Speaker 1>women's CEOs. And I think the message here is it's

0:14:05.440 --> 0:14:09.000
<v Speaker 1>really about good, great leadership if you will not whether

0:14:09.080 --> 0:14:12.240
<v Speaker 1>you're a man or woman running a company. Shares in

0:14:12.320 --> 0:14:15.080
<v Speaker 1>Lulu Lemon Athletica. Man, they have been on quite a tear,

0:14:15.200 --> 0:14:18.760
<v Speaker 1>almost doubling in the past year. And Jason, you know

0:14:18.840 --> 0:14:21.120
<v Speaker 1>this story, so you wrote this story. It's part of

0:14:21.120 --> 0:14:24.080
<v Speaker 1>a remarkable turnaround. Well, and it is. And it involves

0:14:24.120 --> 0:14:26.640
<v Speaker 1>private equity. We talked about private equity a lot in

0:14:26.680 --> 0:14:29.800
<v Speaker 1>the context of those big, well known names Blackstone, kr

0:14:29.880 --> 0:14:33.800
<v Speaker 1>Carlisle and whatnot. This is a firm called Advent. They

0:14:33.840 --> 0:14:36.120
<v Speaker 1>were in it at the beginning, they got out, made

0:14:36.120 --> 0:14:39.560
<v Speaker 1>a lot of money. Then they went back in and

0:14:39.600 --> 0:14:43.720
<v Speaker 1>they did even better. I sat down exclusively with advanced

0:14:43.760 --> 0:14:47.800
<v Speaker 1>managing partner and chairman David Mustafer, as well as Calvin McDonald,

0:14:47.840 --> 0:14:50.360
<v Speaker 1>he is the CEO of Lulu Lemon. We caught up

0:14:50.400 --> 0:14:53.720
<v Speaker 1>at one of the Lulu stores in New York City. How,

0:14:53.960 --> 0:14:56.400
<v Speaker 1>for lack of better term, sort of broken was it

0:14:56.520 --> 0:14:59.120
<v Speaker 1>when you sort of got back in? I mean, I

0:14:59.160 --> 0:15:03.000
<v Speaker 1>think the business was had its challenges, but at the

0:15:03.160 --> 0:15:07.720
<v Speaker 1>core the issue was alignment and so part of the

0:15:07.760 --> 0:15:11.640
<v Speaker 1>power that that private equity can bring is that alignment.

0:15:12.040 --> 0:15:14.880
<v Speaker 1>And so in this case, we had a situation where

0:15:14.920 --> 0:15:18.640
<v Speaker 1>the founder wasn't aligned with the board and the management team,

0:15:18.640 --> 0:15:21.880
<v Speaker 1>and so you've seen some turnover of the senior management.

0:15:22.480 --> 0:15:27.640
<v Speaker 1>You also didn't have the company uh in sync with

0:15:27.840 --> 0:15:31.240
<v Speaker 1>the ability to make investments. They were following Wall Street

0:15:31.280 --> 0:15:34.520
<v Speaker 1>and thinking about what they needed to do that quarter.

0:15:35.080 --> 0:15:38.520
<v Speaker 1>And so I feel like what we saw as this

0:15:38.800 --> 0:15:43.560
<v Speaker 1>fundamental opportunity was to help regain that alignment and put

0:15:43.600 --> 0:15:46.479
<v Speaker 1>the platform in place so that the company could establish

0:15:46.840 --> 0:15:51.560
<v Speaker 1>a really strategic proposition, not just here and now, but

0:15:52.280 --> 0:15:55.680
<v Speaker 1>part of the real opportunity is to help them get

0:15:55.680 --> 0:15:58.520
<v Speaker 1>out of the penny a share game and make some

0:15:58.640 --> 0:16:02.560
<v Speaker 1>of these investments that had been deferred. Right, I want

0:16:02.560 --> 0:16:05.240
<v Speaker 1>to get to the moment where Calvin, you come into

0:16:05.240 --> 0:16:08.480
<v Speaker 1>the company, you do have a series of of C

0:16:08.520 --> 0:16:12.200
<v Speaker 1>e O s um so leadership becomes something at the

0:16:12.240 --> 0:16:13.960
<v Speaker 1>at the top level that you also have to deal

0:16:14.000 --> 0:16:18.400
<v Speaker 1>with in terms of the the various issues you have

0:16:18.520 --> 0:16:22.360
<v Speaker 1>to address. Firstly, we had a situation where the board

0:16:22.560 --> 0:16:26.480
<v Speaker 1>really was interested, loves this company and wanted to see

0:16:26.600 --> 0:16:29.600
<v Speaker 1>its succeed and so in that regard when we came back,

0:16:31.280 --> 0:16:35.920
<v Speaker 1>we were able to create some of that alignment pretty

0:16:35.920 --> 0:16:43.400
<v Speaker 1>easily and help create the UM, the ability to put

0:16:43.480 --> 0:16:46.280
<v Speaker 1>some of these ideas in place, the idea of a

0:16:46.320 --> 0:16:50.480
<v Speaker 1>longer term plan. But you're right, I think some of

0:16:50.520 --> 0:16:53.880
<v Speaker 1>those challenges with the founder made it hard and so

0:16:54.440 --> 0:16:59.120
<v Speaker 1>UM at the point that UM that the founder exited

0:16:59.160 --> 0:17:02.320
<v Speaker 1>the company into was in fifteen, we were really able

0:17:02.360 --> 0:17:06.600
<v Speaker 1>to begin assembling a world class management team and so

0:17:07.359 --> 0:17:12.920
<v Speaker 1>UH with a CFO who is initially with Stewart now CEO,

0:17:13.160 --> 0:17:19.199
<v Speaker 1>and then talent along the way, leading to people like

0:17:19.320 --> 0:17:24.399
<v Speaker 1>Glenn and Calvin and Son and a host of really

0:17:24.920 --> 0:17:29.040
<v Speaker 1>world class business leaders. And the exciting part is that

0:17:29.359 --> 0:17:34.159
<v Speaker 1>this business had that potential, it just needed the opportunity

0:17:34.280 --> 0:17:39.040
<v Speaker 1>and the the framework. From this point and beyond, it

0:17:39.160 --> 0:17:42.800
<v Speaker 1>really feels like the business is just getting started. At

0:17:42.880 --> 0:17:47.120
<v Speaker 1>that moment where you where you do start to dig in, Calvin,

0:17:47.280 --> 0:17:50.600
<v Speaker 1>I mean, what's what's the opportunity do you see to

0:17:51.000 --> 0:17:54.879
<v Speaker 1>sort of take it to the next level. So for me,

0:17:55.000 --> 0:17:58.080
<v Speaker 1>the first assessment was as an opportunity here to be

0:17:58.119 --> 0:18:00.280
<v Speaker 1>even more than what Lulu Lemon is, not just with

0:18:00.359 --> 0:18:03.480
<v Speaker 1>the North American internationally UH. And I think the clear

0:18:03.640 --> 0:18:06.720
<v Speaker 1>resounding answers absolutely. I mean, the vision we have today

0:18:06.800 --> 0:18:08.600
<v Speaker 1>is to nite a community of people to live the

0:18:08.600 --> 0:18:11.520
<v Speaker 1>sweat life UH. And we're going to express that not

0:18:11.640 --> 0:18:14.560
<v Speaker 1>just through incredible product that will keep developing because there's

0:18:14.600 --> 0:18:17.920
<v Speaker 1>so much opportunity in white space for us to develop into,

0:18:18.160 --> 0:18:21.159
<v Speaker 1>but also through our strategy of events on what we

0:18:21.240 --> 0:18:23.919
<v Speaker 1>do with our grow initiatives and seeing what Calvin and

0:18:23.920 --> 0:18:27.600
<v Speaker 1>the team have already done with the manifestation of this

0:18:27.760 --> 0:18:30.879
<v Speaker 1>some of this next step vision in Chicago and with

0:18:30.960 --> 0:18:34.879
<v Speaker 1>the membership and loyalty program, you already are beginning to

0:18:34.920 --> 0:18:38.320
<v Speaker 1>see some of the seeds of thinking about what the

0:18:38.440 --> 0:18:41.280
<v Speaker 1>broader vision might look like. And so what does that

0:18:41.320 --> 0:18:43.560
<v Speaker 1>look like going forward? Because it does feel like we're

0:18:43.560 --> 0:18:46.360
<v Speaker 1>at a very interesting moment in the world of retail.

0:18:46.440 --> 0:18:49.240
<v Speaker 1>We have a huge runway of growth. UM. Not only

0:18:49.320 --> 0:18:52.320
<v Speaker 1>is our women's business continuing to grow at double digit

0:18:52.400 --> 0:18:54.880
<v Speaker 1>with a lot of growth opportunity being entering into new

0:18:54.920 --> 0:18:57.800
<v Speaker 1>categories or we mentioned to and from OTC that doesn't

0:18:57.840 --> 0:19:02.480
<v Speaker 1>even really in our women's uh category exist uh, and

0:19:02.560 --> 0:19:06.000
<v Speaker 1>into our omniguest experience with our digital platform and as

0:19:06.040 --> 0:19:08.480
<v Speaker 1>good as we are, there's a ton of opportunity to

0:19:08.600 --> 0:19:13.040
<v Speaker 1>even more. This is an emotional brand, and our online

0:19:13.040 --> 0:19:15.919
<v Speaker 1>continues to be more transactional and then finally, you know,

0:19:15.960 --> 0:19:18.520
<v Speaker 1>expanding into markets. We still have a lot of opportunity

0:19:18.520 --> 0:19:21.840
<v Speaker 1>in North America, not to mention what's happening internationally and

0:19:21.960 --> 0:19:24.920
<v Speaker 1>in Europe as well as in China. We feel we're

0:19:24.920 --> 0:19:27.480
<v Speaker 1>early innings and everything we're trying to create, and that's

0:19:27.520 --> 0:19:30.800
<v Speaker 1>advent Managing partner and chairman David Mussafer and Kelvin McDonald,

0:19:30.880 --> 0:19:34.639
<v Speaker 1>Lulu Lemon's CEO, we caught up at a store here

0:19:34.680 --> 0:19:38.000
<v Speaker 1>in New York City. Listen. It's a remarkable tale, candidly

0:19:38.160 --> 0:19:42.080
<v Speaker 1>that had not been told before. The stock obviously, anybody

0:19:42.080 --> 0:19:44.840
<v Speaker 1>who's watching it has seen it rise. But the money

0:19:44.840 --> 0:19:47.240
<v Speaker 1>behind it, what it took to fix it, that's a

0:19:47.280 --> 0:19:49.280
<v Speaker 1>whole different story. I think this is a great business

0:19:49.280 --> 0:19:51.800
<v Speaker 1>school case study, right of a company that was had

0:19:51.840 --> 0:19:54.200
<v Speaker 1>done so well, had some problems and really came back,

0:19:54.240 --> 0:19:55.680
<v Speaker 1>and you can look at it at so many different

0:19:55.760 --> 0:19:57.520
<v Speaker 1>levels well, and it's a well known brand and one

0:19:57.560 --> 0:20:00.959
<v Speaker 1>that people really keep an eye on for trend setting,

0:20:01.119 --> 0:20:04.520
<v Speaker 1>but also for investors. Obviously, issues a big Tech. It

0:20:04.680 --> 0:20:07.679
<v Speaker 1>is definitely one of the big themes of a future

0:20:07.680 --> 0:20:10.879
<v Speaker 1>story this week about how Silicon Valley's biggest companies Jason

0:20:11.119 --> 0:20:13.800
<v Speaker 1>fold millions of people into letting temp workers listen in

0:20:14.080 --> 0:20:17.240
<v Speaker 1>on their most intimate moments. I'm creeped out. It is

0:20:17.720 --> 0:20:21.080
<v Speaker 1>a must read for sure. It's the cover story this week.

0:20:21.119 --> 0:20:23.680
<v Speaker 1>And actually you've got to just look at the cover

0:20:24.000 --> 0:20:27.000
<v Speaker 1>and you're gonna be really You're gonna be really creeped out.

0:20:27.119 --> 0:20:29.240
<v Speaker 1>But you're gonna want to know more. Austin Carr is

0:20:29.280 --> 0:20:31.359
<v Speaker 1>here to do just that, to tell us more about it,

0:20:31.600 --> 0:20:34.720
<v Speaker 1>all right, take us back, because this is really about

0:20:34.760 --> 0:20:37.600
<v Speaker 1>a device or a series of devices that so many

0:20:37.600 --> 0:20:41.520
<v Speaker 1>of us have in our homes, and they're listening totally.

0:20:41.560 --> 0:20:43.920
<v Speaker 1>I mean, this is really a big story about how

0:20:43.960 --> 0:20:47.680
<v Speaker 1>these devices like Amazon Echo and their virtual assistant Alexo,

0:20:47.760 --> 0:20:49.960
<v Speaker 1>or if you use Apple Syrie or Google Assistant, what

0:20:50.040 --> 0:20:52.320
<v Speaker 1>have you. If you have these devices in your home

0:20:52.680 --> 0:20:55.440
<v Speaker 1>or on your phone, this is a story about how

0:20:55.480 --> 0:20:58.160
<v Speaker 1>these whole all these things work. And I think they

0:20:58.320 --> 0:21:01.200
<v Speaker 1>these companies, these tech companies and Silicon Value presented these

0:21:01.240 --> 0:21:03.960
<v Speaker 1>products and sort of automated they were sort of using

0:21:04.000 --> 0:21:07.000
<v Speaker 1>machine learning and computers to answer our every voice command,

0:21:07.119 --> 0:21:09.359
<v Speaker 1>And it turns out there's actually a vast apparatus of

0:21:09.400 --> 0:21:12.360
<v Speaker 1>human listeners who are helping to improve these services. When

0:21:12.440 --> 0:21:15.119
<v Speaker 1>voice commands are submitted to their servers, in some cases,

0:21:15.160 --> 0:21:19.560
<v Speaker 1>they're actually rerouted to data centers where humans are actually

0:21:19.600 --> 0:21:22.639
<v Speaker 1>transcribing your every word in order to improve the speech

0:21:22.680 --> 0:21:25.000
<v Speaker 1>recognition on these services. Yeah, I think there definitely was

0:21:25.040 --> 0:21:27.639
<v Speaker 1>an assumption that there's just some little robot that's like

0:21:27.680 --> 0:21:29.760
<v Speaker 1>listening and then spitting things back at me. So tell

0:21:29.800 --> 0:21:32.360
<v Speaker 1>me about these humans. I mean, what kind of conversations

0:21:32.359 --> 0:21:35.880
<v Speaker 1>are they listening to? What are they hearing? Um? Because

0:21:35.880 --> 0:21:37.320
<v Speaker 1>you guys, you guys talked to a lot of people.

0:21:37.560 --> 0:21:40.160
<v Speaker 1>We talked to dozens and dozens of contractors and and

0:21:40.200 --> 0:21:44.440
<v Speaker 1>these are people who are placed everywhere from Ireland to India. UM.

0:21:44.480 --> 0:21:47.720
<v Speaker 1>In the case of Apple, they relied on a A

0:21:47.960 --> 0:21:51.040
<v Speaker 1>I T firm in Cork, Ireland, were just you know,

0:21:51.160 --> 0:21:53.480
<v Speaker 1>dozens and dozens of contractors will be listening in on

0:21:53.520 --> 0:21:56.240
<v Speaker 1>people's recordings and they told us that they felt deeply

0:21:56.320 --> 0:22:00.119
<v Speaker 1>uncomfortable listening to this material. Often it was very very

0:22:00.200 --> 0:22:03.439
<v Speaker 1>personal information. They were called children in many instances sharing

0:22:03.680 --> 0:22:07.159
<v Speaker 1>personal information like phone numbers or street addresses, which you

0:22:07.160 --> 0:22:10.680
<v Speaker 1>can imagine parents concern over that they overheard couples having

0:22:10.720 --> 0:22:14.199
<v Speaker 1>sexual engaging in sexual activity very private conversations in your

0:22:14.280 --> 0:22:17.160
<v Speaker 1>kitchen and bedroom. So really the most sort of alarming

0:22:17.200 --> 0:22:19.920
<v Speaker 1>thing is just how invasive this is and the fact

0:22:19.960 --> 0:22:22.560
<v Speaker 1>that the people on the front lines of this behavior,

0:22:22.640 --> 0:22:24.680
<v Speaker 1>doing this work, who are often the most low paid

0:22:24.680 --> 0:22:27.800
<v Speaker 1>workers in this supply chain, they found it very alarming

0:22:27.840 --> 0:22:31.560
<v Speaker 1>and emotionally unethical. So what do the companies say, Because

0:22:32.080 --> 0:22:34.520
<v Speaker 1>this has been a story that you guys have been

0:22:34.560 --> 0:22:36.000
<v Speaker 1>following really through the course of the year, and as

0:22:36.000 --> 0:22:38.560
<v Speaker 1>Carol said, it probably is one of the defining stories

0:22:38.560 --> 0:22:45.119
<v Speaker 1>in many ways of twenty nineteen, broadly speaking, the discomfort

0:22:45.560 --> 0:22:49.320
<v Speaker 1>that we're starting to have with the relationship with technology.

0:22:49.520 --> 0:22:51.520
<v Speaker 1>What did the companies say, Yeah, I'm glad you asked

0:22:51.560 --> 0:22:53.240
<v Speaker 1>about that, because one of the most profound things for

0:22:53.359 --> 0:22:56.359
<v Speaker 1>us was the disparity between what the contractors were telling

0:22:56.440 --> 0:22:58.840
<v Speaker 1>us in terms of them feeling very uh that this

0:22:58.920 --> 0:23:02.000
<v Speaker 1>was very morally dubious, versus what the the tech engineers

0:23:02.000 --> 0:23:04.679
<v Speaker 1>and executives were telling us when we started reporting this.

0:23:04.800 --> 0:23:06.159
<v Speaker 1>It was almost like they didn't think this was a

0:23:06.160 --> 0:23:08.880
<v Speaker 1>big deal. They just didn't anticipate it. They would argue,

0:23:08.920 --> 0:23:10.800
<v Speaker 1>this was very par for the course in the industry.

0:23:10.920 --> 0:23:13.639
<v Speaker 1>Essentially everyone's doing it. Um. They said that this is

0:23:13.680 --> 0:23:16.240
<v Speaker 1>just really a way of fixing what they called quality

0:23:16.240 --> 0:23:18.720
<v Speaker 1>assurance issues. They described it as similar to you know,

0:23:18.760 --> 0:23:21.399
<v Speaker 1>when your app crashes on your Mac, you get the

0:23:21.440 --> 0:23:24.159
<v Speaker 1>option type you want to report this bug. They just

0:23:24.200 --> 0:23:26.840
<v Speaker 1>described it as a quote voice bug. Um. At a

0:23:26.840 --> 0:23:29.960
<v Speaker 1>broader level, they also say that hey, just f y,

0:23:30.440 --> 0:23:33.320
<v Speaker 1>these systems are only recording when you activate them, and

0:23:33.520 --> 0:23:37.040
<v Speaker 1>the vast majority of voice commands are actually handled by computers,

0:23:37.200 --> 0:23:41.760
<v Speaker 1>with just a small uh number of them needing human input. Input. Now,

0:23:41.760 --> 0:23:43.800
<v Speaker 1>whether or not that makes you feel more comfortab about

0:23:43.880 --> 0:23:46.080
<v Speaker 1>using the services, there's no doubt that millions and millions

0:23:46.080 --> 0:23:48.679
<v Speaker 1>of recordings are still being transcribed by humans. All right,

0:23:48.720 --> 0:23:50.280
<v Speaker 1>And I'm not going to excuse the companies, But what's

0:23:50.280 --> 0:23:53.159
<v Speaker 1>the transparency, like when you sign up for things, is

0:23:53.160 --> 0:23:55.040
<v Speaker 1>it in there in the fine print somewhere that this

0:23:55.119 --> 0:23:58.840
<v Speaker 1>might happen originally? Not? I mean, they very broadly um

0:23:58.840 --> 0:24:01.280
<v Speaker 1>sort of said, you know, this could be used to

0:24:01.320 --> 0:24:04.639
<v Speaker 1>improve these services. Apple might use it to improve or

0:24:04.720 --> 0:24:07.320
<v Speaker 1>enhance SIRIE for example, but it didn't explicitly say that

0:24:07.400 --> 0:24:09.399
<v Speaker 1>humans might be listening. And I think that was a

0:24:09.480 --> 0:24:12.520
<v Speaker 1>major oversight, if not an intentional one. A lot of

0:24:12.520 --> 0:24:14.400
<v Speaker 1>the companies that we talked to said that that there

0:24:14.440 --> 0:24:16.639
<v Speaker 1>sort of stance on this for the past years, especially

0:24:16.680 --> 0:24:18.760
<v Speaker 1>in the case of Apple or Amazon, was sort of

0:24:18.800 --> 0:24:22.280
<v Speaker 1>to um inform, not alarm. In other words, if they

0:24:22.280 --> 0:24:24.159
<v Speaker 1>did disclose that in their terms and conditions, they might

0:24:24.200 --> 0:24:26.280
<v Speaker 1>have turned off users from using these products in the

0:24:26.280 --> 0:24:28.920
<v Speaker 1>first place. Because and I'm glad you you put it

0:24:28.960 --> 0:24:31.919
<v Speaker 1>in that way, because in a lot of cases, you know,

0:24:31.960 --> 0:24:35.320
<v Speaker 1>we all call people, you know, and we get that,

0:24:36.000 --> 0:24:38.120
<v Speaker 1>you know, when we call for customer services something to say,

0:24:38.119 --> 0:24:40.480
<v Speaker 1>this call may be recorded for quality assurance. It feels

0:24:40.520 --> 0:24:42.320
<v Speaker 1>like they were just sort of putting it into that bucket.

0:24:42.520 --> 0:24:45.800
<v Speaker 1>But that feels when that happens pretty voluntary. And and

0:24:45.840 --> 0:24:48.080
<v Speaker 1>by the way, you know, you're having a business conversation

0:24:48.080 --> 0:24:50.200
<v Speaker 1>of some sort, even if you're talking about your bank

0:24:50.200 --> 0:24:53.119
<v Speaker 1>account or whatever, you're kind of okay with it. And

0:24:53.160 --> 0:24:56.960
<v Speaker 1>it's very clear, uh, to Carroll's point, this seems not

0:24:57.119 --> 0:24:59.920
<v Speaker 1>quite on but not not clear um. And also the

0:25:00.080 --> 0:25:04.520
<v Speaker 1>other issue is that these devices often are triggered accidentally. Um,

0:25:04.680 --> 0:25:06.920
<v Speaker 1>you know my my fiance, for example, her name is Alexis.

0:25:07.000 --> 0:25:09.240
<v Speaker 1>You can imagine that the Amazon Echo we have in

0:25:09.240 --> 0:25:12.320
<v Speaker 1>our home is triggered quite frequently inadvertently. Now for everyone

0:25:12.400 --> 0:25:14.960
<v Speaker 1>listening to this or watching it on TV, there Amazon

0:25:15.000 --> 0:25:20.280
<v Speaker 1>Echo just went on exactly, I apologize that one of us, well, yeah,

0:25:20.680 --> 0:25:24.000
<v Speaker 1>not the Echo, but but or okay, Google, or if

0:25:24.000 --> 0:25:26.320
<v Speaker 1>you say hey Siri. There's many ways that these can

0:25:26.320 --> 0:25:28.080
<v Speaker 1>be accidentally triggered. And one of the things that the

0:25:28.080 --> 0:25:30.240
<v Speaker 1>contractors kept saying to us was, hey, you know what,

0:25:30.560 --> 0:25:33.120
<v Speaker 1>we heard so many instances where the recordings coming through

0:25:33.440 --> 0:25:35.840
<v Speaker 1>It was so clear that the users had no idea

0:25:36.359 --> 0:25:38.320
<v Speaker 1>um and what they found most alarming wasn't the more

0:25:38.359 --> 0:25:40.679
<v Speaker 1>provocative ones, but it was actually the most mundane just

0:25:40.840 --> 0:25:44.520
<v Speaker 1>you know, one contract contractor described an instance of just

0:25:44.760 --> 0:25:47.840
<v Speaker 1>a father and son having a conversation after school and

0:25:47.880 --> 0:25:50.560
<v Speaker 1>how that it can feel so invasive. You know, they

0:25:50.640 --> 0:25:54.040
<v Speaker 1>have no business recording this material and let alone transcribing it.

0:25:54.119 --> 0:25:56.119
<v Speaker 1>Did these workers know what they were going to be

0:25:56.160 --> 0:25:58.719
<v Speaker 1>do when they were hired exactly? It was unclear at

0:25:58.720 --> 0:26:00.840
<v Speaker 1>the early days. Some toy not I think it became

0:26:00.840 --> 0:26:03.119
<v Speaker 1>clear what they were doing is they were going along.

0:26:03.520 --> 0:26:05.560
<v Speaker 1>But I will just say, these are, you know, not

0:26:05.600 --> 0:26:08.480
<v Speaker 1>the highest paid workers. And as I said before, this

0:26:08.520 --> 0:26:12.200
<v Speaker 1>is emotionally taxing labor um. So when they're doing this firsthand,

0:26:12.560 --> 0:26:15.280
<v Speaker 1>I think they're realizing as they're going along, Wait a minute,

0:26:15.280 --> 0:26:17.359
<v Speaker 1>do I feel comfortable with this? Some people compared it

0:26:17.400 --> 0:26:20.359
<v Speaker 1>to sort of Another person said, this has felt like

0:26:20.400 --> 0:26:22.760
<v Speaker 1>the Tower of Babel in a way. Um, but at

0:26:22.760 --> 0:26:24.240
<v Speaker 1>the same time, you know, these aren't the folks that

0:26:24.280 --> 0:26:27.000
<v Speaker 1>are necessarily on the highest part of the food chain

0:26:27.080 --> 0:26:29.640
<v Speaker 1>here that they can't just sort of rebel and push back.

0:26:30.080 --> 0:26:32.280
<v Speaker 1>They did express concerns to managers and they they some

0:26:32.320 --> 0:26:34.120
<v Speaker 1>of them just said that they were unreceptive. They said,

0:26:34.119 --> 0:26:36.680
<v Speaker 1>transcribe everything that comes through. So let me ask you this.

0:26:36.760 --> 0:26:39.160
<v Speaker 1>I mean again, you guys have been following this so closely,

0:26:39.240 --> 0:26:42.359
<v Speaker 1>and I know, Austin, you look across the text sphere,

0:26:42.800 --> 0:26:44.919
<v Speaker 1>often sent to the furthest corners of the world to

0:26:45.160 --> 0:26:47.880
<v Speaker 1>uh explore this. Where do you think we are sort

0:26:47.920 --> 0:26:52.560
<v Speaker 1>of in the in this moment of questioning almost existentially

0:26:52.640 --> 0:26:56.720
<v Speaker 1>our relationship with tech companies. This feels right at the

0:26:56.720 --> 0:26:58.639
<v Speaker 1>heart of that. What do you think happens next? You know,

0:26:58.840 --> 0:27:00.280
<v Speaker 1>I think this is one of the biggest tests that

0:27:00.320 --> 0:27:02.320
<v Speaker 1>we've seen in the Silicon Valley in the last couple

0:27:02.359 --> 0:27:04.600
<v Speaker 1>of years. They just went through years and years of

0:27:04.600 --> 0:27:07.880
<v Speaker 1>the most severe scrutiny from Washington, um all these concerns

0:27:07.920 --> 0:27:12.040
<v Speaker 1>about everything from Cambridge Analytic to the elections to you know,

0:27:12.080 --> 0:27:14.320
<v Speaker 1>how much data their minding from our every clique and

0:27:14.400 --> 0:27:18.320
<v Speaker 1>Internet browsing habits. And even after all that, they still

0:27:18.320 --> 0:27:20.760
<v Speaker 1>seem oblivious to the fact that there was something wrong.

0:27:20.800 --> 0:27:23.560
<v Speaker 1>Was setting up a vast apparatus of human listeners that

0:27:23.600 --> 0:27:25.879
<v Speaker 1>could legitimately hear the things that we were saying inside

0:27:25.920 --> 0:27:29.920
<v Speaker 1>of our homes. The government does this, we'd be appalled.

0:27:30.160 --> 0:27:32.680
<v Speaker 1>We have government, and I think that that's a very

0:27:33.359 --> 0:27:35.600
<v Speaker 1>especially when you consider that Shoo Me bay Do Ali

0:27:35.640 --> 0:27:39.200
<v Speaker 1>Baba are turning out roughly three million smart speakers per quarter.

0:27:39.680 --> 0:27:43.399
<v Speaker 1>One could imagine China not being so scrupulous about what

0:27:43.440 --> 0:27:46.520
<v Speaker 1>they could listen into. And we haven't uncovered evidence of that,

0:27:46.600 --> 0:27:49.320
<v Speaker 1>but there's no doubt that these these devices can be hacked,

0:27:49.480 --> 0:27:51.639
<v Speaker 1>you know, and I think that's a major concern, and

0:27:51.680 --> 0:27:54.080
<v Speaker 1>that one that was just a bit naive for tech

0:27:54.119 --> 0:27:56.160
<v Speaker 1>company not to think we're was there and yet I've

0:27:56.160 --> 0:27:58.560
<v Speaker 1>got one. You've got them, You've got them, right, I

0:27:58.560 --> 0:28:00.720
<v Speaker 1>mean the American public. I mean there's a statin here.

0:28:00.760 --> 0:28:04.560
<v Speaker 1>By three, they'll be eight billion voice controlled devices out there,

0:28:04.600 --> 0:28:06.600
<v Speaker 1>one for every person on Earth. I mean, so people

0:28:06.600 --> 0:28:09.560
<v Speaker 1>are buying up. We love the convenience we do. Are

0:28:09.600 --> 0:28:11.719
<v Speaker 1>we willing to give up? Are we getting to that

0:28:11.760 --> 0:28:13.879
<v Speaker 1>point where we're, okay, I'll give up my privacy for this.

0:28:14.000 --> 0:28:15.600
<v Speaker 1>You know, there's actually a term for that, which is

0:28:15.640 --> 0:28:18.440
<v Speaker 1>the sort of uh, it's sort of like analysis proalysis.

0:28:18.440 --> 0:28:21.159
<v Speaker 1>Are just so much privacy concerns, and these things are

0:28:21.200 --> 0:28:24.159
<v Speaker 1>so integrated with our lives it's hard to give them up.

0:28:24.200 --> 0:28:28.280
<v Speaker 1>A few research study actually found that about six of

0:28:28.320 --> 0:28:31.600
<v Speaker 1>cost Americans are very concerned with data privacy when it

0:28:31.600 --> 0:28:34.119
<v Speaker 1>comes to smart speakers. At the same time, one fourth

0:28:34.160 --> 0:28:36.720
<v Speaker 1>of all the U S public owns them. So there's

0:28:36.760 --> 0:28:40.320
<v Speaker 1>this this this really harsh disparity between our concerns for

0:28:40.360 --> 0:28:42.160
<v Speaker 1>privacy and the fact that we just, you know what,

0:28:42.560 --> 0:28:44.560
<v Speaker 1>We're just gonna give up and own a smartphone, own

0:28:44.600 --> 0:28:47.160
<v Speaker 1>an Amazon Echo and so forth. And it's, uh, it's

0:28:47.160 --> 0:28:49.080
<v Speaker 1>a sign that customers don't know how to protect themselves.

0:28:49.080 --> 0:28:51.600
<v Speaker 1>Are the companies changing anything in terms of with this

0:28:51.640 --> 0:28:54.080
<v Speaker 1>pushback and the more that you guys and others report

0:28:54.120 --> 0:28:56.520
<v Speaker 1>on all of this, they have indeed, Um, you know

0:28:56.600 --> 0:28:58.280
<v Speaker 1>a lot of these companies that they didn't do good

0:28:58.400 --> 0:29:01.040
<v Speaker 1>enough disclosing these terms to their cost commers. Uh. They've

0:29:01.280 --> 0:29:05.280
<v Speaker 1>introduced new disclaimers and their privacy policies more often features

0:29:05.320 --> 0:29:08.000
<v Speaker 1>for certain services. UH. And Google has said that for

0:29:08.080 --> 0:29:11.920
<v Speaker 1>Google Assistant, they're actually pausing human transcription, although they did

0:29:11.960 --> 0:29:13.960
<v Speaker 1>declined to comment on whether they were collecting voice data

0:29:13.960 --> 0:29:17.360
<v Speaker 1>in other ways, which is interesting. But I think, you know,

0:29:17.400 --> 0:29:19.080
<v Speaker 1>it's very clear at this juncture that they did not

0:29:19.160 --> 0:29:21.240
<v Speaker 1>do enough for the past seven or eight years, and

0:29:21.360 --> 0:29:23.560
<v Speaker 1>especially for a company like Apple. Tim Cook has been

0:29:23.600 --> 0:29:26.360
<v Speaker 1>out there saying privacy is a human right. How do

0:29:26.440 --> 0:29:29.800
<v Speaker 1>they get this wrong? How did they just obliviously build

0:29:29.840 --> 0:29:33.280
<v Speaker 1>this this this large sort of group of people who

0:29:33.320 --> 0:29:35.440
<v Speaker 1>are listening in on people's conversations. I feel like that

0:29:35.520 --> 0:29:38.200
<v Speaker 1>just goes against their their core values absolutely, and you

0:29:38.280 --> 0:29:41.400
<v Speaker 1>do wonder how oblivious they actually were in many ways.

0:29:41.560 --> 0:29:44.800
<v Speaker 1>That's Austin Carr great story. We all have these home devices,

0:29:45.040 --> 0:29:48.040
<v Speaker 1>we think that nobody's listening. But this story shows you

0:29:48.400 --> 0:29:51.080
<v Speaker 1>that folks are actual humans are well, and this is

0:29:51.080 --> 0:29:53.640
<v Speaker 1>really the latest installment in a series of stories that

0:29:53.720 --> 0:29:56.800
<v Speaker 1>the tech team has been doing that has really sort

0:29:56.800 --> 0:29:58.600
<v Speaker 1>of brought this to light. And one of the things

0:29:58.600 --> 0:30:02.719
<v Speaker 1>that I find most interesting and kiddly troubling is most

0:30:02.760 --> 0:30:05.280
<v Speaker 1>people read this and say, WHOA, I didn't know that

0:30:05.360 --> 0:30:08.200
<v Speaker 1>was going on. And the tech companies, when confronted with

0:30:08.240 --> 0:30:10.680
<v Speaker 1>this essentially like, yeah, cool. I mean, we're just trying

0:30:10.680 --> 0:30:12.960
<v Speaker 1>to like make the product better. What's the deal. Yeah,

0:30:12.960 --> 0:30:16.440
<v Speaker 1>we'll see if this changes in specially with Washington watching

0:30:16.520 --> 0:30:19.600
<v Speaker 1>very closely, with these tech companies are up to. This

0:30:19.680 --> 0:30:22.040
<v Speaker 1>holiday season will be the first for the Apple Car,

0:30:22.120 --> 0:30:25.160
<v Speaker 1>the highest profile new credit card in years, and it's

0:30:25.200 --> 0:30:28.320
<v Speaker 1>pretty exciting for Apple Jason absolutely, and for people who

0:30:28.360 --> 0:30:30.640
<v Speaker 1>are using it, they seem to be big fans. It's

0:30:30.640 --> 0:30:34.959
<v Speaker 1>like the sexy new card to have, but retailers maybe

0:30:35.000 --> 0:30:38.600
<v Speaker 1>not so excited because it's in that category where they

0:30:38.840 --> 0:30:40.680
<v Speaker 1>have to pay more. Jenny Seraine here with this New

0:30:40.760 --> 0:30:43.800
<v Speaker 1>York City to explain the twist and turns of this

0:30:43.840 --> 0:30:47.440
<v Speaker 1>story are fascinating. Tell us about the heat on the

0:30:47.440 --> 0:30:50.000
<v Speaker 1>retail side of this. Basically, Visa and MasterCard have several

0:30:50.040 --> 0:30:52.560
<v Speaker 1>different tiers, and so they have their kind of basic

0:30:52.600 --> 0:30:55.280
<v Speaker 1>credit cards that maybe don't have a ton of rewards.

0:30:55.320 --> 0:30:57.800
<v Speaker 1>The next step up for Visa, it's called Visa Signature.

0:30:57.840 --> 0:31:00.480
<v Speaker 1>For MasterCard is MasterCard World. Um, and they have that

0:31:00.520 --> 0:31:03.760
<v Speaker 1>kind of premium premium tier. It's most instantly being ranked

0:31:03.760 --> 0:31:07.840
<v Speaker 1>in society. Yes we are, yes, c this is no different, um.

0:31:08.040 --> 0:31:10.360
<v Speaker 1>And and so for Visa it's called Visa Infinite. For

0:31:10.440 --> 0:31:13.440
<v Speaker 1>MasterCard it's called MasterCard World Elite. And every time you

0:31:13.480 --> 0:31:16.200
<v Speaker 1>swipe a Visa Infinite or a MasterCard World Elite card,

0:31:16.480 --> 0:31:19.680
<v Speaker 1>it costs the retailer a little bit more in swipe fees. Um.

0:31:19.720 --> 0:31:21.760
<v Speaker 1>And basically it's been years and years of kind of

0:31:21.800 --> 0:31:24.120
<v Speaker 1>this huge rewards war that's gone on between banks, and

0:31:24.160 --> 0:31:26.360
<v Speaker 1>so more and more consumers are showing up at the

0:31:26.400 --> 0:31:28.440
<v Speaker 1>point of sale with these cards, and retailers are like,

0:31:28.480 --> 0:31:31.120
<v Speaker 1>we've had enough, um, and they're just ready to kind

0:31:31.120 --> 0:31:33.120
<v Speaker 1>of you know, take this to Visa and MasterCard and say,

0:31:33.320 --> 0:31:35.840
<v Speaker 1>and here comes Apple joining the part. Here comes Apple.

0:31:36.960 --> 0:31:39.520
<v Speaker 1>It's a very elite card. Um, it's the MasterCard World

0:31:39.520 --> 0:31:43.120
<v Speaker 1>Elite and um, yeah, it's it's expensive for retailers. It's

0:31:43.400 --> 0:31:46.040
<v Speaker 1>you know, had this huge high profile launch we saw

0:31:46.080 --> 0:31:48.160
<v Speaker 1>I think it was ten billion in lines extended to

0:31:48.200 --> 0:31:50.120
<v Speaker 1>consumers and that kind of first month that it was

0:31:50.120 --> 0:31:53.720
<v Speaker 1>out so very popular. Card um and retailers are just like,

0:31:53.800 --> 0:31:56.120
<v Speaker 1>this is you know, just another time, another thing that

0:31:56.160 --> 0:31:57.840
<v Speaker 1>we have to kind of spend money on and and

0:31:57.880 --> 0:32:00.560
<v Speaker 1>you know, yeah, to you guys this point, it's holiday season. Um,

0:32:00.640 --> 0:32:02.840
<v Speaker 1>they're trying their best to compete against the Amazons of

0:32:02.880 --> 0:32:04.360
<v Speaker 1>the world and this is kind of one more thing

0:32:04.400 --> 0:32:07.160
<v Speaker 1>in the negative bucket. Well, when we talked about this

0:32:07.240 --> 0:32:09.800
<v Speaker 1>story on our radio show, our Daily Radio showed during

0:32:09.800 --> 0:32:11.160
<v Speaker 1>the week, like I think both of us were like,

0:32:11.160 --> 0:32:14.080
<v Speaker 1>oh yeah, I didn't realize that there was this incredible

0:32:14.160 --> 0:32:17.840
<v Speaker 1>tears in terms of designations for credit cards, right, Um,

0:32:17.880 --> 0:32:19.520
<v Speaker 1>and they come with them different fees in terms of

0:32:19.560 --> 0:32:21.600
<v Speaker 1>what the merchants paid, but the elite cards, the assumption

0:32:21.720 --> 0:32:24.000
<v Speaker 1>is all right, this is somebody who probably makes more

0:32:24.040 --> 0:32:27.720
<v Speaker 1>money and they're going to spend more. So sorry, merchant,

0:32:27.760 --> 0:32:29.840
<v Speaker 1>you're gonna pay a little bit more. Yeah, so you'll

0:32:29.880 --> 0:32:31.840
<v Speaker 1>win in the end. Kind of is a thinking and

0:32:31.880 --> 0:32:34.240
<v Speaker 1>that I think has historically been what VI said, master

0:32:34.320 --> 0:32:36.320
<v Speaker 1>Card and the big banks say to the merchants when

0:32:36.320 --> 0:32:39.000
<v Speaker 1>they complain about this. They say, look, these people come in,

0:32:39.080 --> 0:32:42.000
<v Speaker 1>they have way more buying power. They're usually um, their

0:32:42.000 --> 0:32:44.760
<v Speaker 1>average ticket sizes are much bigger than the ticket sizes

0:32:44.760 --> 0:32:47.240
<v Speaker 1>for those more basic credit cards. UM. And so that's

0:32:47.280 --> 0:32:50.040
<v Speaker 1>been kind of the justification over the years. Now retailers

0:32:50.040 --> 0:32:52.200
<v Speaker 1>have started to come back and say, well, look, if

0:32:52.240 --> 0:32:55.080
<v Speaker 1>I'm a gas station or if I'm a grocer, people

0:32:55.120 --> 0:32:57.760
<v Speaker 1>with these high rewards credit cards, they're not actually spending

0:32:57.760 --> 0:32:59.960
<v Speaker 1>more on groceries. They're not spending more on gas because

0:33:00.280 --> 0:33:03.160
<v Speaker 1>they have these rewards. And so those kinds of retailers

0:33:03.160 --> 0:33:05.080
<v Speaker 1>are just like, look, we've reached our breaking point. Our

0:33:05.120 --> 0:33:07.680
<v Speaker 1>margins are thin already. We need a break here, right,

0:33:07.720 --> 0:33:12.520
<v Speaker 1>because this can really essentially eliminate or really dramatically shrink

0:33:12.600 --> 0:33:15.760
<v Speaker 1>the margin, especially when you're talking about grocery or other

0:33:15.800 --> 0:33:19.320
<v Speaker 1>places where that margin is already so thin. Yeah, for sure,

0:33:19.360 --> 0:33:21.320
<v Speaker 1>and so it's um. I mean, grocery is kind of

0:33:21.320 --> 0:33:25.400
<v Speaker 1>the biggest example. And we actually saw the country's largest grocery, Kroger,

0:33:25.560 --> 0:33:27.760
<v Speaker 1>take a really harsh stance on this earlier this year

0:33:28.000 --> 0:33:31.800
<v Speaker 1>UM or last year. They actually banned certain visa card

0:33:31.960 --> 0:33:35.080
<v Speaker 1>they banned all visa credit cards from certain stores. Um.

0:33:35.080 --> 0:33:37.440
<v Speaker 1>And so you're seeing more and more take that stance. Now,

0:33:37.800 --> 0:33:40.320
<v Speaker 1>Visa and Kroger they've reached an agreement. Kroger is now

0:33:40.360 --> 0:33:42.560
<v Speaker 1>accepting Visa and all of its stores. But I think

0:33:42.560 --> 0:33:44.000
<v Speaker 1>this is something we're going to see more and more

0:33:44.000 --> 0:33:47.440
<v Speaker 1>of grocers and retailers in general just really feeling this pinch.

0:33:47.520 --> 0:33:49.400
<v Speaker 1>The other tricky side to this is that, Okay, so

0:33:49.440 --> 0:33:52.560
<v Speaker 1>these credit cards they have different levels, different designations, right,

0:33:52.600 --> 0:33:54.120
<v Speaker 1>and as a merchant, you can say, okay, I'm just

0:33:54.120 --> 0:33:56.480
<v Speaker 1>gonna take the lower tier. You either take it all

0:33:56.600 --> 0:33:59.000
<v Speaker 1>or you take none. Right. Yeah, So that's the big

0:33:59.040 --> 0:34:01.280
<v Speaker 1>sticking point right now. Out Um, the rule is actually

0:34:01.320 --> 0:34:03.520
<v Speaker 1>called honor all cards, so if you take one Visa

0:34:03.560 --> 0:34:05.680
<v Speaker 1>credit card, you have to take them all. And merchants

0:34:05.720 --> 0:34:07.960
<v Speaker 1>hate that rule. They say, you know, we should be

0:34:08.000 --> 0:34:10.680
<v Speaker 1>able to say we're okay with taking these basic credit cards,

0:34:10.840 --> 0:34:12.880
<v Speaker 1>but we're not really willing to take these more premium,

0:34:12.960 --> 0:34:15.560
<v Speaker 1>high end cards. Um. But Visa makes that a rule

0:34:15.600 --> 0:34:18.680
<v Speaker 1>of kind of accepting any of the cards MasterCard as well. Um.

0:34:18.760 --> 0:34:21.200
<v Speaker 1>And in two thousand five, the merchants actually it's been

0:34:21.600 --> 0:34:24.719
<v Speaker 1>it's been fourteen years. Merchants actually took this to court. Um.

0:34:24.760 --> 0:34:26.440
<v Speaker 1>And it's been kind of rumbling around in the courts

0:34:26.440 --> 0:34:28.800
<v Speaker 1>ever since. UM and it kind of remains a sticking

0:34:28.800 --> 0:34:31.279
<v Speaker 1>point in negotiations for settling that case. Well, and I

0:34:31.360 --> 0:34:33.560
<v Speaker 1>think we were talking about this as well. I mean,

0:34:33.600 --> 0:34:35.920
<v Speaker 1>historically this has been an issue with American Express too,

0:34:35.960 --> 0:34:40.640
<v Speaker 1>because their rates have tended to be higher than Visa MasterCard, right. Yeah. Well,

0:34:40.680 --> 0:34:42.920
<v Speaker 1>so it's interesting actually, as we've seen this kind of

0:34:42.920 --> 0:34:45.920
<v Speaker 1>profusion of these elite cards on the Visa and MasterCard networks,

0:34:46.080 --> 0:34:48.239
<v Speaker 1>those rates have actually come much more in line. So

0:34:48.280 --> 0:34:50.799
<v Speaker 1>it's no longer and you know Master am X has

0:34:50.800 --> 0:34:53.160
<v Speaker 1>actually come down a lot too, so it's actually no

0:34:53.239 --> 0:34:55.640
<v Speaker 1>longer that much more for merchants, because back in the

0:34:55.719 --> 0:34:57.359
<v Speaker 1>day that was the thing. I mean, I remember there

0:34:57.360 --> 0:35:00.120
<v Speaker 1>were a lot of places but at work in an

0:35:00.120 --> 0:35:02.680
<v Speaker 1>American Express for many years, and I remember it was

0:35:02.719 --> 0:35:04.719
<v Speaker 1>such a thing because we would go to places and

0:35:04.719 --> 0:35:07.520
<v Speaker 1>they wouldn't take the card as they called it, and

0:35:07.560 --> 0:35:10.120
<v Speaker 1>it would and the merchant or the restaurant or whoever

0:35:10.120 --> 0:35:12.279
<v Speaker 1>it was would say, listen, the fees are higher for me.

0:35:12.360 --> 0:35:13.960
<v Speaker 1>This is why I'm not doing it. Yeah, And so

0:35:14.040 --> 0:35:17.200
<v Speaker 1>that's um, it's actually it's It's strange, how you know,

0:35:17.320 --> 0:35:20.120
<v Speaker 1>between amex coming down and Visa MasterCard coming up, it's

0:35:20.120 --> 0:35:22.600
<v Speaker 1>a lot, a lot closer in terms of the rates

0:35:22.600 --> 0:35:24.600
<v Speaker 1>that merchants are paying. And so you've seen that in

0:35:24.640 --> 0:35:27.640
<v Speaker 1>the acceptance. You know, AMX is accepted accepted at almost

0:35:27.640 --> 0:35:29.560
<v Speaker 1>as place as a Visa and master Card these days.

0:35:29.560 --> 0:35:31.640
<v Speaker 1>So where's all of this going? Because what's interesting is

0:35:31.680 --> 0:35:34.279
<v Speaker 1>we have a ton of guests on our show, our

0:35:34.320 --> 0:35:36.479
<v Speaker 1>daily radio show, where I think they say, we like Visa,

0:35:36.520 --> 0:35:40.759
<v Speaker 1>we like MasterCard because they're processing so many transactions and

0:35:40.840 --> 0:35:42.560
<v Speaker 1>you know, they get a little piece of all of them,

0:35:42.560 --> 0:35:44.640
<v Speaker 1>but there's so many going on. But I am curious,

0:35:44.840 --> 0:35:47.200
<v Speaker 1>you know, so they're doing okay, So where's all of

0:35:47.200 --> 0:35:50.040
<v Speaker 1>this going. It's hard to bet against Visa and MasterCard.

0:35:50.040 --> 0:35:52.560
<v Speaker 1>I mean, they are just they're so ubiquitous. They are

0:35:52.680 --> 0:35:55.359
<v Speaker 1>part of every transaction. Um, so it's hard to bet

0:35:55.360 --> 0:35:58.320
<v Speaker 1>against them. I mean, I do think that merchants, um,

0:35:58.400 --> 0:36:01.160
<v Speaker 1>you know, they're starting to kind of really coalesced around

0:36:01.160 --> 0:36:04.440
<v Speaker 1>this on our all cards thing, So we could it's

0:36:04.480 --> 0:36:06.000
<v Speaker 1>so hard to guess how it could turn out, but

0:36:06.040 --> 0:36:08.480
<v Speaker 1>we could see a future where maybe if they went

0:36:08.480 --> 0:36:10.600
<v Speaker 1>out on this on our all cards role going away

0:36:11.280 --> 0:36:13.279
<v Speaker 1>where you show up and at the checkout they say,

0:36:13.320 --> 0:36:15.279
<v Speaker 1>we'll take your basic visa card, but we're not going

0:36:15.360 --> 0:36:18.239
<v Speaker 1>to take that Chance card. And that's Jenny's serene. We're

0:36:18.280 --> 0:36:22.600
<v Speaker 1>pretty sure she never sleeps because she's so incredibly prolific.

0:36:22.800 --> 0:36:24.759
<v Speaker 1>And this story, I feel like it's gonna be We

0:36:24.800 --> 0:36:26.720
<v Speaker 1>say this about a lot of things, a very twenty

0:36:26.800 --> 0:36:30.960
<v Speaker 1>nineteen story, Goldman Apple getting together, and it's a little

0:36:30.960 --> 0:36:33.480
<v Speaker 1>trickier than maybe the anticipated. Well this holiday season the

0:36:33.520 --> 0:36:35.200
<v Speaker 1>first for the Apple card, and I've got to say

0:36:35.200 --> 0:36:37.120
<v Speaker 1>when this story came out on the Bloomberg terminal, it

0:36:37.160 --> 0:36:40.640
<v Speaker 1>was among the most read, so everybody was checking it out.

0:36:41.239 --> 0:36:43.279
<v Speaker 1>The Department of Events had stepped up its scrutiny of

0:36:43.320 --> 0:36:46.400
<v Speaker 1>Chinese Americans and made growing distress between the two nations

0:36:46.440 --> 0:36:49.759
<v Speaker 1>and Jason as a result and snaring undeserving individuals. This

0:36:49.800 --> 0:36:52.319
<v Speaker 1>story is a troubling one. It is very troubling, and

0:36:52.400 --> 0:36:55.600
<v Speaker 1>the details, as you get into them, really take you

0:36:55.680 --> 0:36:58.960
<v Speaker 1>places you don't expect to go. Peter Waldman one of

0:36:58.960 --> 0:37:02.239
<v Speaker 1>our Projects and Instigations reporters. He wrote the piece. It's

0:37:02.280 --> 0:37:05.640
<v Speaker 1>in this week's Business Week. Peter joins us from San Francisco.

0:37:05.920 --> 0:37:09.839
<v Speaker 1>So Peter, tell us what you found. So basically, this

0:37:09.920 --> 0:37:12.439
<v Speaker 1>is a continuation of work I've been doing all year

0:37:12.520 --> 0:37:15.239
<v Speaker 1>long on the whole question of whether or not we

0:37:15.320 --> 0:37:19.880
<v Speaker 1>are overreacting in this country to the threat of Chinese

0:37:19.960 --> 0:37:27.080
<v Speaker 1>espionage and specifically the threat of UM theft of intellectual property. UH.

0:37:27.320 --> 0:37:30.920
<v Speaker 1>This week's Business Week story is about an Army engineer

0:37:31.840 --> 0:37:37.439
<v Speaker 1>who was harassed essentially by the FBI and military intelligence

0:37:37.560 --> 0:37:40.520
<v Speaker 1>from the Army. This is a civilian engineer, by the way,

0:37:41.040 --> 0:37:45.840
<v Speaker 1>UM and ultimately his security clearance was taken away. After

0:37:46.320 --> 0:37:52.520
<v Speaker 1>over twenty years of stellar performance, including developing UM software

0:37:52.560 --> 0:37:55.799
<v Speaker 1>system that the n s A uses for communications and

0:37:55.840 --> 0:37:59.920
<v Speaker 1>eavesdropping and things like that. And this stellar in science,

0:38:00.120 --> 0:38:03.440
<v Speaker 1>thist Um lost in security cliance, which essentially forced him

0:38:03.480 --> 0:38:07.800
<v Speaker 1>to retire now he was of retirement age. It wasn't

0:38:07.840 --> 0:38:11.799
<v Speaker 1>the biggest body blow, but he was humiliated and he

0:38:11.840 --> 0:38:15.480
<v Speaker 1>was accused of disloyalty, and he had lots of ties, friends,

0:38:15.640 --> 0:38:19.359
<v Speaker 1>neighbors who were asked many times if he was a

0:38:19.400 --> 0:38:23.080
<v Speaker 1>spy for China. He is a Chinese American individual, and

0:38:23.120 --> 0:38:25.759
<v Speaker 1>he suffered a great deal as a result of this.

0:38:26.320 --> 0:38:28.160
<v Speaker 1>I can tell you the end of the story, which

0:38:28.239 --> 0:38:33.160
<v Speaker 1>essentially is that ultimately the Pentagon decided he was not

0:38:33.360 --> 0:38:37.359
<v Speaker 1>a spy and was innocent of their suspicions. So it's

0:38:37.400 --> 0:38:41.040
<v Speaker 1>kind of a sad story. Well, and so this individual

0:38:41.040 --> 0:38:43.439
<v Speaker 1>Waist sue, I guess the question is, and this goes

0:38:43.480 --> 0:38:45.520
<v Speaker 1>to how you kicked it off, Peter? You know, are

0:38:45.560 --> 0:38:48.799
<v Speaker 1>we overreacting? Is this an isolated incident, you know, where

0:38:48.800 --> 0:38:52.480
<v Speaker 1>folks like Waists are being targeted um in a wrong way,

0:38:52.840 --> 0:38:56.720
<v Speaker 1>or are we seeing a lot of that happening? So

0:38:57.320 --> 0:39:01.759
<v Speaker 1>perhaps both. It's hard to say whether the thousands of

0:39:02.120 --> 0:39:05.960
<v Speaker 1>Chinese American individuals who have come under suspicion for espionage

0:39:06.320 --> 0:39:10.440
<v Speaker 1>in some form or another. Maybe it's exporting materials to

0:39:10.560 --> 0:39:14.080
<v Speaker 1>China that are on some uh list of of stuff

0:39:14.080 --> 0:39:16.200
<v Speaker 1>that's not supposed to go to certain entities the so

0:39:16.320 --> 0:39:22.240
<v Speaker 1>called entities list, or outright theft of intellectual property aren't

0:39:22.280 --> 0:39:27.200
<v Speaker 1>even worse espionage on government secrets. So there are legitimate cases.

0:39:27.239 --> 0:39:31.360
<v Speaker 1>There's no question that China is overreaching, that that China,

0:39:31.440 --> 0:39:34.920
<v Speaker 1>on their part has come to make demands and expectations

0:39:35.000 --> 0:39:39.040
<v Speaker 1>of overseas Chinese um to work for the motherland when

0:39:39.160 --> 0:39:41.680
<v Speaker 1>called upon, And that's kind of put a target on

0:39:41.719 --> 0:39:44.600
<v Speaker 1>people's backs. But in terms of what's happened on this

0:39:44.640 --> 0:39:48.560
<v Speaker 1>side of the Pacific, the distrust level, and that's the

0:39:48.640 --> 0:39:51.000
<v Speaker 1>real key word. I think in this story. The level

0:39:51.000 --> 0:39:55.600
<v Speaker 1>of distrust of Chinese Americans has just sword in recent years.

0:39:55.680 --> 0:40:00.359
<v Speaker 1>And colleague in the Bloomberg Data Analytics department, Andrea our Tar,

0:40:01.120 --> 0:40:06.200
<v Speaker 1>did an enormous job of filtering, analyzing some twenty six

0:40:06.520 --> 0:40:12.640
<v Speaker 1>thousand cases in the government database of security clearance decisions

0:40:12.680 --> 0:40:16.120
<v Speaker 1>who gets it, who doesn't, and he found that in

0:40:16.160 --> 0:40:21.640
<v Speaker 1>the past decade, the rate of rejections of Chinese Americans

0:40:21.760 --> 0:40:26.719
<v Speaker 1>essentially um for security clearances has gone from something like

0:40:26.760 --> 0:40:31.360
<v Speaker 1>forty four percent, which was the average of all countries

0:40:31.400 --> 0:40:37.840
<v Speaker 1>including other non Chinese countries UH, to over six for Chinese.

0:40:37.880 --> 0:40:41.000
<v Speaker 1>So uh, it's a real growth in the rate of

0:40:41.040 --> 0:40:45.879
<v Speaker 1>rejection for that which is a kind of barometer of suspicion, distrust,

0:40:46.520 --> 0:40:50.359
<v Speaker 1>and essentially difficulty for these American citizens. And I love

0:40:50.440 --> 0:40:52.799
<v Speaker 1>the perspective that you include your story, Peter, because you say,

0:40:52.800 --> 0:40:56.640
<v Speaker 1>even people with ties to nations like Iran or Russia,

0:40:57.040 --> 0:41:00.479
<v Speaker 1>they fear better than those with ties to China. Yeah,

0:41:00.480 --> 0:41:04.400
<v Speaker 1>the data showed that they went from rates of fifty

0:41:04.520 --> 0:41:09.000
<v Speaker 1>to cent or so in the prior decade from two

0:41:09.080 --> 0:41:12.760
<v Speaker 1>thousand to two thousand nine, they dropped both below fifty

0:41:13.640 --> 0:41:17.160
<v Speaker 1>in terms of the rejection rate and the rate of

0:41:17.200 --> 0:41:21.480
<v Speaker 1>rejection for people with ties to China went from that

0:41:21.600 --> 0:41:24.680
<v Speaker 1>forty four percent average for everyone all the way up

0:41:24.719 --> 0:41:29.799
<v Speaker 1>to well and Peter, you provide some really nice details

0:41:29.840 --> 0:41:32.120
<v Speaker 1>in this story, and I have to say much of

0:41:32.160 --> 0:41:36.360
<v Speaker 1>it is cinematic in a lot of ways, these interrogations,

0:41:36.680 --> 0:41:39.640
<v Speaker 1>but also the rulings that have come down, one ruling

0:41:40.080 --> 0:41:46.719
<v Speaker 1>specifically that repeatedly uses the term coercion tell us how

0:41:46.760 --> 0:41:51.320
<v Speaker 1>that plays into the suspicion and sort of the overall narrative.

0:41:52.760 --> 0:41:55.640
<v Speaker 1>So what we are talking about there are the guidelines,

0:41:55.680 --> 0:42:00.440
<v Speaker 1>the federal guidelines for trustworthiness essentially who should get at

0:42:00.560 --> 0:42:05.759
<v Speaker 1>a security clearance, and two of the guidelines include categories

0:42:05.800 --> 0:42:11.839
<v Speaker 1>called foreign preference and foreign influence. And under those guidelines,

0:42:12.400 --> 0:42:16.160
<v Speaker 1>um you essentially if you have ties of one sort

0:42:16.239 --> 0:42:20.279
<v Speaker 1>or another family members, parents, financial ties, you may own

0:42:20.360 --> 0:42:25.319
<v Speaker 1>property in another country, which many Chinese immigrants to this

0:42:25.400 --> 0:42:30.160
<v Speaker 1>country do, particularly relatives. Um it can disqualify you just

0:42:30.280 --> 0:42:34.160
<v Speaker 1>on its face for security clearance. And the basis of

0:42:34.200 --> 0:42:36.879
<v Speaker 1>that concern on the part of the in this case

0:42:36.960 --> 0:42:40.360
<v Speaker 1>the Pentagon, is that you would then be subject to

0:42:40.440 --> 0:42:46.000
<v Speaker 1>coercion by Chinese agents, Chinese intelligence, who could perhaps go

0:42:46.120 --> 0:42:50.240
<v Speaker 1>to your family members and say, well, you wanna your pension,

0:42:50.400 --> 0:42:53.680
<v Speaker 1>you want your salary this month, while you're gonna have

0:42:53.760 --> 0:42:57.080
<v Speaker 1>to get your relative Joe living in New York or

0:42:57.120 --> 0:43:00.680
<v Speaker 1>Texas to spy for us. Otherwise, you know, forget your

0:43:00.680 --> 0:43:04.160
<v Speaker 1>pension for the next year. So that's what's meant by

0:43:04.200 --> 0:43:09.960
<v Speaker 1>coercion um. There was another Pentagon study two thousand seventeen

0:43:10.040 --> 0:43:13.320
<v Speaker 1>study by a branch of the Pentagon that does nothing

0:43:13.400 --> 0:43:18.719
<v Speaker 1>but study espionage and questions of trustworthiness, and they reviewed

0:43:19.000 --> 0:43:23.560
<v Speaker 1>all two hundred and nine cases since nineteen forty seven

0:43:23.640 --> 0:43:29.040
<v Speaker 1>of espionage and espionage related convictions, including economic espionage, and

0:43:29.080 --> 0:43:33.280
<v Speaker 1>they found that since nineteen eighty there have been something

0:43:33.320 --> 0:43:37.520
<v Speaker 1>like a hundred and forty convictions for espionage, not a

0:43:37.600 --> 0:43:43.839
<v Speaker 1>single one has had coercion as a main motivator of espionage.

0:43:43.880 --> 0:43:48.919
<v Speaker 1>So it's perhaps a myth that that could happen. Now

0:43:49.040 --> 0:43:53.480
<v Speaker 1>it's logical, but it just hasn't happened. That's Peter Waldman,

0:43:53.520 --> 0:43:57.319
<v Speaker 1>Bloomberg News Projects, an investigation reporter joining us to talk

0:43:57.360 --> 0:44:00.000
<v Speaker 1>about that story. And I think about the implications because

0:44:00.000 --> 0:44:02.520
<v Speaker 1>house of these heightened trained tensions and really just heightened

0:44:02.560 --> 0:44:05.680
<v Speaker 1>tensions overall between the US and China and Chinese Americans.

0:44:05.719 --> 0:44:08.680
<v Speaker 1>They're getting caught in it. They absolutely are. And again

0:44:08.920 --> 0:44:11.239
<v Speaker 1>sort of like the story we were talking about as

0:44:11.280 --> 0:44:14.960
<v Speaker 1>it related to the listening devices, this is essentially the

0:44:15.040 --> 0:44:17.920
<v Speaker 1>latest in a series of stories that Peter Waldman has

0:44:17.920 --> 0:44:21.399
<v Speaker 1>been working on. It's about how this tense relationship between

0:44:21.400 --> 0:44:23.759
<v Speaker 1>the US and China is playing out in maybe some

0:44:23.920 --> 0:44:32.400
<v Speaker 1>unexpected ways. Al Right, you know that music. You know

0:44:32.440 --> 0:44:35.560
<v Speaker 1>what it's all about, because for almost a century you've

0:44:35.600 --> 0:44:38.480
<v Speaker 1>been hearing songs like that, the Radio City Rockets, they've

0:44:38.520 --> 0:44:41.160
<v Speaker 1>been part of the American landscape and of course of

0:44:41.200 --> 0:44:44.560
<v Speaker 1>holiday traditions. A new holiday season underway, helping to kick

0:44:44.600 --> 0:44:47.560
<v Speaker 1>it off to Rockets joining us in studio Alyssa Lemons

0:44:47.560 --> 0:44:50.560
<v Speaker 1>and Johanna Richardson there in our Bloomberg Interactor Broker Studio.

0:44:50.600 --> 0:44:52.759
<v Speaker 1>I have to be quite honest, Jason knows too. I'm

0:44:52.760 --> 0:44:57.160
<v Speaker 1>like yuess who's copingodat So Joanna tell us a little

0:44:57.160 --> 0:45:00.800
<v Speaker 1>bit about what's new and different this year. Remember when

0:45:00.840 --> 0:45:03.200
<v Speaker 1>some of your colleagues were here. Last year there was

0:45:03.200 --> 0:45:07.680
<v Speaker 1>a new finale. What are what can people expect this year? Well,

0:45:07.680 --> 0:45:10.600
<v Speaker 1>we are so excited for this uh this season of

0:45:10.600 --> 0:45:13.920
<v Speaker 1>the Christmas Spectacular. Each year, our creative team tries to

0:45:14.080 --> 0:45:16.640
<v Speaker 1>re re event the show in some way to make

0:45:16.680 --> 0:45:20.000
<v Speaker 1>it more exciting for audiences that come back year after year.

0:45:20.080 --> 0:45:22.399
<v Speaker 1>This year, if it's possible, we've made the finale even

0:45:22.480 --> 0:45:26.919
<v Speaker 1>more impressive. Um. The finale number was introduced last year,

0:45:27.080 --> 0:45:30.640
<v Speaker 1>and then this year we've really focused on the choreography,

0:45:30.680 --> 0:45:34.480
<v Speaker 1>the dazzling costumes that the Rockets perform in, and then

0:45:34.520 --> 0:45:38.560
<v Speaker 1>also the Rockets have a really impressive entrance to the number.

0:45:38.640 --> 0:45:40.520
<v Speaker 1>I won't ruin it if you haven't seen the show yet,

0:45:40.560 --> 0:45:42.200
<v Speaker 1>you'll just have to come and see it. But it

0:45:42.320 --> 0:45:45.000
<v Speaker 1>is so exciting and I feel like the Christmas Spectacular

0:45:45.239 --> 0:45:47.920
<v Speaker 1>is one of those traditions that families can come to

0:45:48.080 --> 0:45:51.399
<v Speaker 1>year after year. It's a different experience every time you come.

0:45:51.520 --> 0:45:54.360
<v Speaker 1>If you're sitting um, even in the same seats in

0:45:54.440 --> 0:45:59.440
<v Speaker 1>the house, we have such high energy dance numbers and choreography.

0:45:59.520 --> 0:46:01.920
<v Speaker 1>There's happening that's done on on the ceiling. Well, this

0:46:02.000 --> 0:46:04.439
<v Speaker 1>there's something new to experience every time you see the show, Joann,

0:46:04.520 --> 0:46:06.160
<v Speaker 1>listen what I wanted to bring in. I went a

0:46:06.239 --> 0:46:08.720
<v Speaker 1>few times, certainly when my daughter was younger and stuff,

0:46:08.760 --> 0:46:10.400
<v Speaker 1>and it really is quite an experience and there are

0:46:10.520 --> 0:46:13.880
<v Speaker 1>what's really great about it is that there's certain traditions

0:46:13.880 --> 0:46:16.480
<v Speaker 1>that come back every year, but you guys have increasingly

0:46:16.520 --> 0:46:19.840
<v Speaker 1>embraced technology over the years. So talk to us a

0:46:19.840 --> 0:46:21.719
<v Speaker 1>little bit about what we can see and on that fright,

0:46:21.760 --> 0:46:26.040
<v Speaker 1>because I do feel like right the world, everybody's embracing technology. Yeah,

0:46:26.120 --> 0:46:27.840
<v Speaker 1>but yeah, I think that's what's great about the Christmas

0:46:27.840 --> 0:46:30.680
<v Speaker 1>Spectacular is it is that perfect balance of that holiday

0:46:30.680 --> 0:46:33.440
<v Speaker 1>tradition with still all this new technology that we get

0:46:33.440 --> 0:46:36.080
<v Speaker 1>in every year. Um, as Joe was mentioning, we have

0:46:36.280 --> 0:46:39.640
<v Speaker 1>projections over all the walls and race and music hall.

0:46:40.080 --> 0:46:42.120
<v Speaker 1>So I used to just be like the first three

0:46:42.160 --> 0:46:44.920
<v Speaker 1>percent I ums the archways in the theater, but now

0:46:44.960 --> 0:46:46.320
<v Speaker 1>it goes all the way back to the back of

0:46:46.360 --> 0:46:49.520
<v Speaker 1>the house, so every seat is getting that full experience

0:46:49.520 --> 0:46:52.640
<v Speaker 1>and really sucks the audience into each number. They're in

0:46:52.719 --> 0:46:55.600
<v Speaker 1>Central Park with us there in Times Square with us

0:46:55.600 --> 0:46:59.400
<v Speaker 1>for numbers. You really get really immersive right in this way,

0:46:59.520 --> 0:47:02.160
<v Speaker 1>and you know, Joanna Carroll mentioned at the top of

0:47:02.200 --> 0:47:04.600
<v Speaker 1>the conversation. I mean, this is a quintessentially sort of

0:47:04.680 --> 0:47:07.359
<v Speaker 1>New York thing total, And you guys appear not only

0:47:07.480 --> 0:47:10.399
<v Speaker 1>in Radio City Music Hall obviously for this show, but

0:47:10.480 --> 0:47:13.600
<v Speaker 1>you're at the parade. You guys, I believe, participated in

0:47:13.640 --> 0:47:16.600
<v Speaker 1>the World Pride events, uh this year. So, I mean

0:47:16.840 --> 0:47:19.880
<v Speaker 1>this is something that is is very New York. What

0:47:20.200 --> 0:47:22.200
<v Speaker 1>is it that sort of connects you to New York

0:47:22.239 --> 0:47:25.880
<v Speaker 1>other than a hundred years of history of course, Yeah, absolutely.

0:47:25.960 --> 0:47:29.759
<v Speaker 1>I mean the Rockets first started performing at Radio City

0:47:29.840 --> 0:47:32.480
<v Speaker 1>Music Hall in nineteen thirty three. We perform in one

0:47:32.480 --> 0:47:35.920
<v Speaker 1>of the most iconic theaters in Radio City. It's truly

0:47:35.920 --> 0:47:37.759
<v Speaker 1>an experience from the moment you walk in the door,

0:47:37.920 --> 0:47:42.480
<v Speaker 1>especially at Christmas, the decorations are drenching the theater and

0:47:42.680 --> 0:47:44.840
<v Speaker 1>just from the moment you walk in the door, just

0:47:45.040 --> 0:47:47.360
<v Speaker 1>the vibe of the theater. You can meet Santa, you

0:47:47.440 --> 0:47:51.200
<v Speaker 1>can meet a Rocket. We have two live Organs that

0:47:51.239 --> 0:47:54.600
<v Speaker 1>are playing pre show, And I feel like the Rockets

0:47:54.719 --> 0:47:58.400
<v Speaker 1>especially are such an iconic staple in New York City.

0:47:58.480 --> 0:48:04.200
<v Speaker 1>They represent um, poise, grace, and an athleticism. Um for

0:48:04.800 --> 0:48:08.239
<v Speaker 1>an all female dance company, and I definitely grew up

0:48:08.239 --> 0:48:11.160
<v Speaker 1>watching the Rockets before and it was so inspired by

0:48:11.200 --> 0:48:14.240
<v Speaker 1>these women coming together from all different walks of life.

0:48:14.680 --> 0:48:17.319
<v Speaker 1>But it's the true epitome of teamwork. What we do

0:48:17.400 --> 0:48:21.240
<v Speaker 1>on stage is not about one particular dancer. It's about

0:48:21.239 --> 0:48:23.400
<v Speaker 1>all all thirty six of us on stage, and I

0:48:23.480 --> 0:48:25.360
<v Speaker 1>just think that's so incredible to be a part of.

0:48:25.360 --> 0:48:26.839
<v Speaker 1>We'll talk to us a little bit about your trick there.

0:48:26.840 --> 0:48:29.560
<v Speaker 1>I mean, Joanna, where are you from? Originally I from Atlanta.

0:48:29.640 --> 0:48:34.200
<v Speaker 1>I live in Colorado right now, from Dallas, Texas. But

0:48:34.200 --> 0:48:35.920
<v Speaker 1>I love here and now, so tell us how long?

0:48:36.239 --> 0:48:38.279
<v Speaker 1>How long have you been dancing with the Rockets? Six year?

0:48:38.320 --> 0:48:40.640
<v Speaker 1>Your six year? And Joanna, this is my four season,

0:48:40.760 --> 0:48:42.759
<v Speaker 1>so okay, so let me start with you. I mean,

0:48:43.000 --> 0:48:44.839
<v Speaker 1>that's a long time to be There's a lot that's

0:48:44.920 --> 0:48:48.400
<v Speaker 1>changed also the role of women and women in our society,

0:48:48.400 --> 0:48:50.879
<v Speaker 1>how we're looked at. But I'm just curious about your

0:48:51.000 --> 0:48:54.120
<v Speaker 1>road to coming to here. What was it like, Hotely?

0:48:54.120 --> 0:48:55.840
<v Speaker 1>Was it? Yeah? So I grew up in Atlanta. I

0:48:55.880 --> 0:48:58.680
<v Speaker 1>trained at my mom's dance studio, and um, it was

0:48:58.719 --> 0:49:02.080
<v Speaker 1>really important growing up in dance that we had a

0:49:02.160 --> 0:49:06.879
<v Speaker 1>well rounded training and ballet tap jazz just so you're

0:49:06.920 --> 0:49:10.759
<v Speaker 1>a versatile performer. And um, that's one thing that I

0:49:10.800 --> 0:49:13.279
<v Speaker 1>loved about the Rackets so much is it's not just

0:49:13.360 --> 0:49:16.560
<v Speaker 1>about one style. It is about the technique of ballet

0:49:17.120 --> 0:49:20.040
<v Speaker 1>tap jazz, the flexibility and strength to be able to

0:49:20.080 --> 0:49:22.520
<v Speaker 1>do those I high kicks, which we do over three

0:49:22.719 --> 0:49:25.239
<v Speaker 1>d per show, up to four shows a day. So

0:49:25.320 --> 0:49:29.600
<v Speaker 1>the athleticism also was so inspiring. And um, I remember

0:49:29.640 --> 0:49:32.400
<v Speaker 1>watching the Rackets perform in the mec Sinksgiving Day parade.

0:49:32.640 --> 0:49:34.840
<v Speaker 1>I finally saw them perform live and he had tears

0:49:34.840 --> 0:49:36.239
<v Speaker 1>in my eyes and I knew I needed to be

0:49:36.320 --> 0:49:38.800
<v Speaker 1>up on that stage. And actually took me four auditions

0:49:38.880 --> 0:49:42.000
<v Speaker 1>before I was actually cast. So I went back, you know,

0:49:42.080 --> 0:49:45.200
<v Speaker 1>each time learned something new learned there was something that

0:49:45.239 --> 0:49:48.640
<v Speaker 1>I needed to work back. Yeah, and my perseverance paid

0:49:48.680 --> 0:49:51.719
<v Speaker 1>off in fourteen years later and still performing in my

0:49:51.840 --> 0:49:55.120
<v Speaker 1>dream job. And that's a LISTA Lemons and Joanna Richardson too.

0:49:55.400 --> 0:49:58.040
<v Speaker 1>Radio City Rockets. They stopped by your studio. It's really

0:49:58.040 --> 0:49:59.719
<v Speaker 1>fun to catch up with the nice tradition. Oh, it's

0:49:59.719 --> 0:50:01.800
<v Speaker 1>always the start of the holiday season when the Rockets

0:50:01.800 --> 0:50:05.120
<v Speaker 1>stopped by in pursuits this week. We love catching up

0:50:05.120 --> 0:50:07.520
<v Speaker 1>with Chris Rouser and you know, we've had our gift

0:50:07.560 --> 0:50:09.960
<v Speaker 1>guide and we know what to buy. I think you

0:50:10.000 --> 0:50:11.759
<v Speaker 1>have a lot of ideas about what to buy for me,

0:50:12.360 --> 0:50:15.839
<v Speaker 1>which is fantastic, very high end, very high end, all

0:50:15.880 --> 0:50:19.640
<v Speaker 1>right good. But also this is the season about giving

0:50:19.680 --> 0:50:22.560
<v Speaker 1>back exactly, and we've got a guide and some insights

0:50:22.600 --> 0:50:25.440
<v Speaker 1>into how some very wealthy folks are doing that maybe

0:50:25.440 --> 0:50:27.040
<v Speaker 1>some tips for the rest of us. Chris is here

0:50:27.040 --> 0:50:29.080
<v Speaker 1>with us in New York City. How's it going good?

0:50:29.239 --> 0:50:31.560
<v Speaker 1>Very well? Um. This is one of our favorite sections

0:50:31.560 --> 0:50:34.520
<v Speaker 1>of the year, our annual Philanthropy special section, because it

0:50:34.520 --> 0:50:37.440
<v Speaker 1>makes us feel better about all of the really expensive

0:50:37.440 --> 0:50:38.880
<v Speaker 1>things that we tell you to do for the rest

0:50:38.920 --> 0:50:41.120
<v Speaker 1>of what else you could have done with you Yeah,

0:50:41.920 --> 0:50:44.200
<v Speaker 1>because I think you know, philanthropy for our audiences is

0:50:44.239 --> 0:50:46.640
<v Speaker 1>a very big part of how of their pursuits of

0:50:46.680 --> 0:50:48.560
<v Speaker 1>what they do outside of work, and so we all

0:50:48.800 --> 0:50:50.600
<v Speaker 1>we always want to take a look at it, and

0:50:50.640 --> 0:50:52.800
<v Speaker 1>this year we wanted to look at it from the

0:50:52.880 --> 0:50:55.080
<v Speaker 1>perspective of just like a lot of data and like

0:50:55.160 --> 0:50:58.560
<v Speaker 1>looking at uh, you know, facts, numbers, and people who

0:50:58.600 --> 0:51:01.879
<v Speaker 1>look at philanthropy from like a really sort of technical lens.

0:51:01.960 --> 0:51:03.759
<v Speaker 1>We'll tell us about the Arnold I had never heard

0:51:03.760 --> 0:51:07.720
<v Speaker 1>of this couple. They're billionaires, but they're showing you maybe

0:51:07.719 --> 0:51:09.720
<v Speaker 1>how to be a better billity in. Yeah. So they're

0:51:09.760 --> 0:51:13.279
<v Speaker 1>the Arnolds were very very private until I think this year.

0:51:13.360 --> 0:51:16.880
<v Speaker 1>Basically they they made their money first through Enron and

0:51:16.880 --> 0:51:20.480
<v Speaker 1>then true Centauris and m John Arnold was a legendary

0:51:20.560 --> 0:51:23.080
<v Speaker 1>energy trader and then his wife is also like a

0:51:23.080 --> 0:51:26.200
<v Speaker 1>super high powered mergers and exisition's lawyer. Uh. And they

0:51:26.280 --> 0:51:28.600
<v Speaker 1>you know, they're on the Bloomber Billionaire's Index. They've got

0:51:28.600 --> 0:51:30.120
<v Speaker 1>a couple of billion dollars of their own and then

0:51:30.120 --> 0:51:32.080
<v Speaker 1>they have a couple of billion with their foundation and

0:51:32.120 --> 0:51:37.240
<v Speaker 1>basically they have they've sort of set out to reform

0:51:37.520 --> 0:51:41.319
<v Speaker 1>criminal justice, UM also the pharmaceutical industry, and they do

0:51:41.360 --> 0:51:44.440
<v Speaker 1>it by doing a ton of research. And they're not

0:51:44.680 --> 0:51:47.480
<v Speaker 1>liberal and they're not conservative or they try not to be, uh,

0:51:47.520 --> 0:51:51.160
<v Speaker 1>And they just do studies until they find the inequalities

0:51:51.200 --> 0:51:53.160
<v Speaker 1>that are out in the system. Hence the data, right,

0:51:53.239 --> 0:51:55.680
<v Speaker 1>their data driven in terms of what they're going after.

0:51:55.719 --> 0:51:58.920
<v Speaker 1>And there maybe their approach. Yeah, so they hire experts

0:51:59.320 --> 0:52:02.080
<v Speaker 1>UM and they really don't go after something you know,

0:52:02.320 --> 0:52:04.200
<v Speaker 1>it's really important if you have that kind of money

0:52:04.239 --> 0:52:06.239
<v Speaker 1>that you can't just try to address everything that someone

0:52:06.280 --> 0:52:09.239
<v Speaker 1>asks you to address. Um. So they've picked the things

0:52:09.239 --> 0:52:12.320
<v Speaker 1>that they focus on and through studies, they're like really

0:52:12.360 --> 0:52:14.239
<v Speaker 1>obsessed with data. So they did this thing one time

0:52:14.280 --> 0:52:18.160
<v Speaker 1>where they did they redid a hundred different studies from

0:52:18.200 --> 0:52:20.600
<v Speaker 1>psychological journals to see if they could be reproduced, and

0:52:20.600 --> 0:52:25.000
<v Speaker 1>only them could, right, So they're like really testing theces

0:52:25.000 --> 0:52:27.080
<v Speaker 1>all throughout this and and and one of the things

0:52:27.080 --> 0:52:29.280
<v Speaker 1>that they're focused on is criminal justice reform and bail

0:52:29.560 --> 0:52:33.240
<v Speaker 1>and parole and they and they think that the criminal

0:52:33.239 --> 0:52:35.640
<v Speaker 1>justice system is one of the organisms, one of the

0:52:35.680 --> 0:52:38.040
<v Speaker 1>systems that knows the least about itself, and so they're

0:52:38.040 --> 0:52:40.200
<v Speaker 1>trying to get some visibility into that well. And there

0:52:40.200 --> 0:52:42.880
<v Speaker 1>are some lessons for us mere mortals when it comes

0:52:42.880 --> 0:52:46.080
<v Speaker 1>to our own giving, and part of it is really

0:52:46.120 --> 0:52:48.279
<v Speaker 1>know what you're giving to and also focus up a

0:52:48.280 --> 0:52:51.040
<v Speaker 1>little bit. And you don't have to give to everyone

0:52:51.239 --> 0:52:53.160
<v Speaker 1>who asked you for money. You need to sort of

0:52:53.200 --> 0:52:56.040
<v Speaker 1>put a theme in some parameters around it. Yeah, So

0:52:56.120 --> 0:52:58.560
<v Speaker 1>the critic this week is about all these these books

0:52:58.560 --> 0:53:01.120
<v Speaker 1>that came out this year on philanthropy, and ad minute, like,

0:53:01.160 --> 0:53:03.040
<v Speaker 1>you don't really probably want to read a bunch of

0:53:03.040 --> 0:53:07.160
<v Speaker 1>books on philanthropy, so we did it for you. And yeah,

0:53:07.160 --> 0:53:08.960
<v Speaker 1>and you know, one of the main takeaways is like,

0:53:09.040 --> 0:53:11.920
<v Speaker 1>really look at why you're giving. And so there's this

0:53:11.960 --> 0:53:14.600
<v Speaker 1>one book that we looked at called The Ethics of Giving,

0:53:14.640 --> 0:53:17.480
<v Speaker 1>which basically he says like, Okay, you want to do good,

0:53:17.520 --> 0:53:20.160
<v Speaker 1>but why and then if you if you explore the

0:53:20.160 --> 0:53:22.320
<v Speaker 1>philosophical reasons for why you want to do things, that

0:53:22.360 --> 0:53:24.120
<v Speaker 1>actually can help you get to what you should be

0:53:24.160 --> 0:53:26.480
<v Speaker 1>doing with your money. Um. And then you know, there's

0:53:26.480 --> 0:53:28.480
<v Speaker 1>so much technology now out there that can help you

0:53:28.520 --> 0:53:31.560
<v Speaker 1>measure the impact of your gift that you can really

0:53:31.560 --> 0:53:34.440
<v Speaker 1>see how like how much good you're doing, and you

0:53:34.480 --> 0:53:36.719
<v Speaker 1>can also coordinate with other people. You know, you can

0:53:36.840 --> 0:53:38.799
<v Speaker 1>see how you're the good that you're doing, or your

0:53:38.880 --> 0:53:41.759
<v Speaker 1>your money interfaces with other people's money and really make

0:53:41.800 --> 0:53:43.720
<v Speaker 1>the most of it. Well, you talked about data before,

0:53:43.800 --> 0:53:45.560
<v Speaker 1>but there's also a book that is looking at kind

0:53:45.560 --> 0:53:47.960
<v Speaker 1>of what the technology titans are doing right in many

0:53:47.960 --> 0:53:50.399
<v Speaker 1>ways in Silicon Valley and how they're disrupting the world

0:53:50.440 --> 0:53:54.479
<v Speaker 1>but again using data in many ways. Yeah, exactly, Um,

0:53:54.560 --> 0:53:56.200
<v Speaker 1>and you know there's even some tips in there to

0:53:56.280 --> 0:53:58.799
<v Speaker 1>like how how to get your kids interested in philanthropy,

0:53:59.200 --> 0:54:01.480
<v Speaker 1>like that you know, um, every year on the holidays,

0:54:01.520 --> 0:54:04.920
<v Speaker 1>make sure they give away three toys or split up

0:54:04.920 --> 0:54:06.480
<v Speaker 1>the money into you know, if you if they get

0:54:06.480 --> 0:54:08.759
<v Speaker 1>an allowance to split it up to like for themselves,

0:54:09.160 --> 0:54:10.920
<v Speaker 1>for saving for the future, and then to give to

0:54:11.080 --> 0:54:13.000
<v Speaker 1>a nonprofit so they get it in their minds. Early.

0:54:13.360 --> 0:54:15.359
<v Speaker 1>I do love what you said about you know that

0:54:15.400 --> 0:54:17.719
<v Speaker 1>these guys are saying, whether it's the books or whether

0:54:17.760 --> 0:54:20.440
<v Speaker 1>it's the Arnold's like, don't just give because you've been asked, Right,

0:54:20.440 --> 0:54:22.120
<v Speaker 1>You've got to kind of do some homework here, because

0:54:22.120 --> 0:54:24.600
<v Speaker 1>then you're not smart imaged. Also, like, the more you

0:54:24.640 --> 0:54:26.759
<v Speaker 1>know about what you're doing, the more you're engaged in,

0:54:26.760 --> 0:54:28.480
<v Speaker 1>the more you care about outcomes, and the more you're

0:54:28.480 --> 0:54:30.920
<v Speaker 1>likely to keep coming back. Sometimes people think you should

0:54:30.920 --> 0:54:32.960
<v Speaker 1>just spread around your giving because, especially if you have

0:54:33.000 --> 0:54:34.360
<v Speaker 1>a lot of money, people might think like, oh, we

0:54:34.360 --> 0:54:36.400
<v Speaker 1>don't want this nonprofit to become dependent on us. But

0:54:36.440 --> 0:54:39.240
<v Speaker 1>you wouldn't stop going to a restaurant that you liked

0:54:39.239 --> 0:54:41.759
<v Speaker 1>because you didn't want it to become dependent on you, Right, So, like,

0:54:42.000 --> 0:54:43.759
<v Speaker 1>you really do want to be engaged well, and this

0:54:43.760 --> 0:54:45.880
<v Speaker 1>whole notion of philanthropy is R and D that the

0:54:45.960 --> 0:54:48.759
<v Speaker 1>Arnolds have put out really does, as you say, sort

0:54:48.760 --> 0:54:51.160
<v Speaker 1>of engage you on a deeper level, and if you

0:54:51.200 --> 0:54:54.120
<v Speaker 1>know the numbers, you're more likely to go along, all right,

0:54:54.120 --> 0:54:55.800
<v Speaker 1>So it's all about giving back. Tell us about the

0:54:55.800 --> 0:54:58.400
<v Speaker 1>founder of birds Bees, because sounds like this individual is

0:54:58.400 --> 0:55:00.560
<v Speaker 1>giving back. Yes, So this is to my heart because

0:55:00.560 --> 0:55:02.960
<v Speaker 1>I'm from Maine. Um So Roxane Quimby is a woman

0:55:02.960 --> 0:55:05.920
<v Speaker 1>who co founded birds Bees and that company over the

0:55:06.000 --> 0:55:07.360
<v Speaker 1>years has been sold. So she had a lot of

0:55:07.360 --> 0:55:10.080
<v Speaker 1>money that like sort of she came into and she

0:55:10.120 --> 0:55:12.480
<v Speaker 1>started buying up land in Maine and in other states,

0:55:12.520 --> 0:55:16.399
<v Speaker 1>and she eventually accumulated eighty seven thousand acres in Maine

0:55:16.440 --> 0:55:18.160
<v Speaker 1>around Mount ca Tod and was sort of in the

0:55:18.200 --> 0:55:20.239
<v Speaker 1>center of the state. There's a lot of national parks

0:55:20.239 --> 0:55:22.960
<v Speaker 1>there and she wanted it to turn into a national park,

0:55:23.000 --> 0:55:26.400
<v Speaker 1>but the governor of Maine, um it was like a

0:55:26.520 --> 0:55:29.360
<v Speaker 1>very conservative Republican who didn't want her to. So it

0:55:29.440 --> 0:55:32.880
<v Speaker 1>was this long paddle um where she actually sort of

0:55:33.080 --> 0:55:35.520
<v Speaker 1>started off being like the locals in the area where

0:55:35.560 --> 0:55:37.840
<v Speaker 1>against her because the paper companies had sold her the

0:55:37.920 --> 0:55:40.040
<v Speaker 1>land and that was sort of the lifestyle up there,

0:55:40.040 --> 0:55:41.960
<v Speaker 1>I mean, and sort of still is a big part

0:55:42.000 --> 0:55:44.600
<v Speaker 1>of the main lifestyle. And she didn't want people to

0:55:44.640 --> 0:55:47.719
<v Speaker 1>go um hunting or snow machining in the woods and

0:55:47.800 --> 0:55:49.920
<v Speaker 1>like that. I forget it. If you're in Maine, like

0:55:49.960 --> 0:55:54.359
<v Speaker 1>you have people have to be. So eventually she handed it,

0:55:54.640 --> 0:55:57.000
<v Speaker 1>like the project over her son, who was like a

0:55:57.040 --> 0:55:59.080
<v Speaker 1>little more charming and who went around and had coffee

0:55:59.080 --> 0:56:01.279
<v Speaker 1>with people, and they waited out the governor until he

0:56:01.400 --> 0:56:03.640
<v Speaker 1>left um. And so they actually got Obama to make

0:56:03.680 --> 0:56:05.680
<v Speaker 1>it into a National monument, which is not the same

0:56:05.719 --> 0:56:08.520
<v Speaker 1>as a National park, but they're functionally very similar. UM.

0:56:08.560 --> 0:56:12.000
<v Speaker 1>And so now there's this amazing, huge amount of wilderness

0:56:12.000 --> 0:56:15.040
<v Speaker 1>in the center of main and uh they they the

0:56:15.040 --> 0:56:17.120
<v Speaker 1>old governor wouldn't let them put signs up to it,

0:56:17.239 --> 0:56:19.160
<v Speaker 1>so you couldn't find it, and now they can. And

0:56:19.200 --> 0:56:20.839
<v Speaker 1>so now people are just beginning to use it. It's

0:56:20.840 --> 0:56:22.520
<v Speaker 1>really cool, and it does feel a little bit like

0:56:22.560 --> 0:56:27.240
<v Speaker 1>a potential model elsewhere because people really are starting to invest,

0:56:27.400 --> 0:56:30.200
<v Speaker 1>as it were, or to try and give money around

0:56:30.640 --> 0:56:34.200
<v Speaker 1>nature in some ways. Yeah, exactly. Well, let's talk about

0:56:34.560 --> 0:56:37.359
<v Speaker 1>another thing that I think is doing good if you will,

0:56:37.480 --> 0:56:40.640
<v Speaker 1>and that is the kind of rise in wildlife tourism.

0:56:40.680 --> 0:56:42.759
<v Speaker 1>But it's not like maybe it used to be, right,

0:56:42.800 --> 0:56:45.600
<v Speaker 1>it's really changing. Is one company in particular that's playing

0:56:45.640 --> 0:56:49.080
<v Speaker 1>a big role in this. Yeah, So Airbnb actually recently

0:56:49.120 --> 0:56:52.640
<v Speaker 1>announced their Animal Experiences, which is which is actually something

0:56:52.640 --> 0:56:54.520
<v Speaker 1>they've been doing for a while, but they're they're now

0:56:55.320 --> 0:56:58.360
<v Speaker 1>making it a big focus. And what it is is

0:56:59.000 --> 0:57:01.919
<v Speaker 1>like a thousand experiences where you can go and either

0:57:02.080 --> 0:57:04.839
<v Speaker 1>interact directly with animals, domesticated animals, or you can look

0:57:04.880 --> 0:57:08.640
<v Speaker 1>at and watch wild animals and they um Airbnb started

0:57:08.640 --> 0:57:11.319
<v Speaker 1>working with an organization called World Animal Protection to make

0:57:11.560 --> 0:57:14.480
<v Speaker 1>to make sure they're being really ethical about these experiences

0:57:14.480 --> 0:57:17.040
<v Speaker 1>and also using them to teach people about conservation and

0:57:17.080 --> 0:57:19.240
<v Speaker 1>the ethical treatment of animals. This is so important and

0:57:19.280 --> 0:57:21.240
<v Speaker 1>it's hard. I mean, it's hard to do, and I

0:57:21.240 --> 0:57:24.200
<v Speaker 1>mean it was interesting too in reading Nikki Exstein's story

0:57:24.680 --> 0:57:28.160
<v Speaker 1>about how difficult it is a to identify and be

0:57:28.320 --> 0:57:31.560
<v Speaker 1>to sort of keep people honest about it because they

0:57:31.560 --> 0:57:34.200
<v Speaker 1>can easily sort of slip, especially as you go into

0:57:34.280 --> 0:57:36.520
<v Speaker 1>more and more remote places. You really have to be

0:57:36.560 --> 0:57:39.080
<v Speaker 1>able to vet and it's not easy. Yeah, and you know,

0:57:39.120 --> 0:57:40.400
<v Speaker 1>I think a lot of people, a lot of people

0:57:40.440 --> 0:57:42.680
<v Speaker 1>don't know that the that the experience that they're having

0:57:42.720 --> 0:57:45.520
<v Speaker 1>is maybe damaging to wildlife. So you know, Airbnb now

0:57:45.560 --> 0:57:48.240
<v Speaker 1>won't do anything where marine animals are kept in captivity.

0:57:48.320 --> 0:57:50.880
<v Speaker 1>So that's no dolphin experiences, you know, And you might

0:57:50.880 --> 0:57:52.560
<v Speaker 1>not even think that, you know, when you're I don't

0:57:52.560 --> 0:57:55.520
<v Speaker 1>know in Mexico playing with dolphens that that's a negative experience,

0:57:55.520 --> 0:57:58.160
<v Speaker 1>but it could potentially be, and the Airbnb has to

0:57:58.160 --> 0:58:00.000
<v Speaker 1>be very vigilant about it. And it's a big commitment

0:58:00.000 --> 0:58:02.000
<v Speaker 1>of them, and that's meaningful. I think it's really important.

0:58:02.040 --> 0:58:05.200
<v Speaker 1>It's really educating people um and letting animals be in

0:58:05.280 --> 0:58:07.280
<v Speaker 1>kind of their natural environment. But I just have to say,

0:58:07.280 --> 0:58:08.600
<v Speaker 1>I love one of the pictures. I want to have

0:58:09.000 --> 0:58:12.120
<v Speaker 1>cakes with a sheep. I know. Yes, there's one experience

0:58:12.160 --> 0:58:14.000
<v Speaker 1>where you are allowed to interact with the animals is

0:58:14.040 --> 0:58:17.160
<v Speaker 1>in Scotland. You can have tea and very rude sheep

0:58:17.200 --> 0:58:19.040
<v Speaker 1>will him named Hamish, will come up and have tea

0:58:19.080 --> 0:58:23.200
<v Speaker 1>with you. That when I saw that picture, I was

0:58:23.240 --> 0:58:25.320
<v Speaker 1>reminded that there's a fine line between like cute and

0:58:25.360 --> 0:58:28.439
<v Speaker 1>slightly creepy. It's so cute. It's very much divided people.

0:58:28.480 --> 0:58:31.360
<v Speaker 1>That's I love it. I love it. I love it. Hey,

0:58:31.400 --> 0:58:33.480
<v Speaker 1>one last thing I'm speaking of, you know, kind of

0:58:33.480 --> 0:58:36.280
<v Speaker 1>taking care of things and preserving them. There's a little

0:58:36.280 --> 0:58:39.880
<v Speaker 1>section in Pursuits this week about Venice. Yes, yeah, so

0:58:40.120 --> 0:58:42.440
<v Speaker 1>you know, different ways to put your money to work there. Right,

0:58:42.920 --> 0:58:46.240
<v Speaker 1>Venice had its highest aqua alta since nineteen sixty six

0:58:46.240 --> 0:58:50.240
<v Speaker 1>this year last month actually, and um it really did

0:58:50.280 --> 0:58:53.520
<v Speaker 1>some serious damage, not only because water places were flooded,

0:58:53.520 --> 0:58:56.200
<v Speaker 1>but the force of the waters actually moved some stonework.

0:58:56.520 --> 0:58:58.720
<v Speaker 1>Um and so Save Venice, which is a great organization

0:58:58.720 --> 0:59:00.320
<v Speaker 1>which has been working to save the try psures of

0:59:00.400 --> 0:59:03.720
<v Speaker 1>Venice since after that first nineteen sixty six flood um

0:59:03.840 --> 0:59:05.800
<v Speaker 1>worked with us to sort of explain what they spend

0:59:05.840 --> 0:59:08.320
<v Speaker 1>money on if you give money to them, so you can, uh,

0:59:08.360 --> 0:59:10.400
<v Speaker 1>five dollars will get you a day's work from a

0:59:10.400 --> 0:59:13.480
<v Speaker 1>conservator who like an expert, not just like a cleaning

0:59:13.480 --> 0:59:16.280
<v Speaker 1>person who goes in and figures out the issues. And

0:59:16.320 --> 0:59:19.320
<v Speaker 1>then for one point one million you can renovate a

0:59:19.320 --> 0:59:22.920
<v Speaker 1>whole basilica and just sort of like everything in between.

0:59:22.960 --> 0:59:26.600
<v Speaker 1>And there's you know, obviously Titian paintings. Um, there's you know,

0:59:27.160 --> 0:59:30.320
<v Speaker 1>old mansions that have been damaged, so there's a lot

0:59:30.360 --> 0:59:32.160
<v Speaker 1>you can do and the money is is like ready

0:59:32.520 --> 0:59:35.120
<v Speaker 1>to be spent, right. Yeah, it's interesting too. You know,

0:59:35.200 --> 0:59:37.960
<v Speaker 1>this has been an area of philanthropy where a lot

0:59:38.000 --> 0:59:40.240
<v Speaker 1>of interesting people have sort of gotten behind it, just

0:59:40.400 --> 0:59:43.000
<v Speaker 1>given how important in that city is in in the

0:59:43.040 --> 0:59:45.480
<v Speaker 1>history of the world. I remember the late Alex Navab,

0:59:45.560 --> 0:59:48.080
<v Speaker 1>a longtime private equity guy, and he was very committed

0:59:48.480 --> 0:59:50.720
<v Speaker 1>to that as well. It's important our own Kathleen Hayes

0:59:50.760 --> 0:59:52.880
<v Speaker 1>just came back from Venice and she was talking about

0:59:53.000 --> 0:59:55.840
<v Speaker 1>just the absolute grandeur of the place and you do

0:59:55.960 --> 0:59:58.000
<v Speaker 1>worry about some of that going away. Yeah. The architects

0:59:58.000 --> 1:00:00.600
<v Speaker 1>Peter Marino has also been really big on That's the

1:00:00.720 --> 1:00:03.120
<v Speaker 1>editor of the Pursuit section, Chris Rouser. And that wraps

1:00:03.160 --> 1:00:05.800
<v Speaker 1>up the weekend edition of Bloomberg Business Week from Bloomberg Radio.

1:00:05.800 --> 1:00:07.520
<v Speaker 1>Thanks so much for joining us. I'm Jason Kelly and

1:00:07.520 --> 1:00:09.760
<v Speaker 1>I'm Carol Masser. Be sure to tune into Bloomberg Business

1:00:09.800 --> 1:00:12.360
<v Speaker 1>Week Radio Live Monday through Friday starting at two pm

1:00:12.360 --> 1:00:14.040
<v Speaker 1>Well Street time, and if you can't catch us live,

1:00:14.080 --> 1:00:16.360
<v Speaker 1>get our daily podcast for the Ride home. Check that

1:00:16.360 --> 1:00:19.200
<v Speaker 1>out at Bloomberg dot com or wherever you get your podcast,

1:00:19.280 --> 1:00:20.840
<v Speaker 1>and of course you can get this week's edition of

1:00:20.880 --> 1:00:23.439
<v Speaker 1>the magazine. It is on newsstands now. Plenty of great

1:00:23.480 --> 1:00:26.600
<v Speaker 1>holiday reading there for the upcoming week. We'll be back

1:00:26.640 --> 1:00:29.200
<v Speaker 1>next week right here at the same time. Merry Christmas

1:00:29.240 --> 1:00:31.200
<v Speaker 1>and happy holiday. This is Bloomberg.