WEBVTT - Bloomberg Businessweek Weekend - January 24th, 2020

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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 and I'm Carol Master. Welcome to the weekend

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

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<v Speaker 1>we'll bring you news of the week, insights from the magazine,

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<v Speaker 1>and more. And that includes an interesting story about trade.

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<v Speaker 1>We've talked so much. Everyone has been for decades a proponent, Jason,

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<v Speaker 1>a free trade. Now it might be that we're moving

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<v Speaker 1>into the era of managed trade. Right. I wasn't really

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<v Speaker 1>familiar with the nuances of this. We've talked, as you say,

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<v Speaker 1>so much about trade, but this could be a major

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<v Speaker 1>inflection point for how goods and services move throughout the world.

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<v Speaker 1>We're also going to talk, speaking of goods and services,

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<v Speaker 1>about credit cards, how you use them, and what may

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<v Speaker 1>be going on on the other side of the equation

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<v Speaker 1>with credit card companies raising the amount you can borrow.

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<v Speaker 1>That could be our new debt trap. That's a little

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<v Speaker 1>bit of a scary story. We finish up, though with

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<v Speaker 1>something fun. Polly Moss ends did a story and it

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<v Speaker 1>takes a look at the Goop Lab with Gwyneth Paltrow

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<v Speaker 1>making its debut on Netflix. She watched this series. It's

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<v Speaker 1>a series. Every episode Jason begins with a warning, so

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<v Speaker 1>uh fascinating. Another fun bit is the exclusive look and

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<v Speaker 1>exclusive sound of the new Super Bowl ad from Porsche.

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<v Speaker 1>They haven't been in the big game for decades. They're back.

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<v Speaker 1>First up, though, we talked about this week's issue with

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<v Speaker 1>the editor of Bloomberg business Week, Jill Webber. Jill Webber,

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<v Speaker 1>the editor of Business Week, here with us in New

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<v Speaker 1>York City. Let's start with the cover and arresting image

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<v Speaker 1>and a reminder that for all the haters against Tesla,

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<v Speaker 1>that stocks doing awesome. Yeah, so the company's way up

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<v Speaker 1>so far this year, but also over the past few months. Uh.

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<v Speaker 1>This is the story of by Dana Hole about a

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<v Speaker 1>really vocal minority of Tesla haters, Elon muskaters on Twitter

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<v Speaker 1>go by uh tesla q. And these are short sellers

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<v Speaker 1>who are really hurting right now because as this stock

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<v Speaker 1>is swared, they've felt the front of that. Well, that's

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<v Speaker 1>what I love about this. George, Like Danna gets to

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<v Speaker 1>this one individual in particular who's really had a heated

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<v Speaker 1>social media relationship with Elon muss. Yeah, it's an incredible

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<v Speaker 1>story about sort of the battle between this one guy

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<v Speaker 1>who really didn't like the company's fundamentals and his interactions

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<v Speaker 1>with Tesla as a company, and how he really uh

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<v Speaker 1>took things to a different place and sort did Tesla

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<v Speaker 1>in response, right, I mean, and it's just a reminder

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<v Speaker 1>of how binary this is. We talked about it, I

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<v Speaker 1>feel like just about every day on our show, and

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<v Speaker 1>we have the ball and we have the Theirs and

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<v Speaker 1>never the Twain shall meet. I mean, there's nobody who

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<v Speaker 1>essentially is like Tesla Ansca. Yeah, that's right. So what

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<v Speaker 1>Danna's story really does well is like there is this

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<v Speaker 1>wider community of haters and they're almost like hive minded

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<v Speaker 1>with each other about the company. And it's sort of

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<v Speaker 1>the case study of like one guy who actually you know,

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<v Speaker 1>got into the ire of Elon and Tesla, and that's

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<v Speaker 1>remarkable timing for this as the company goes through the

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<v Speaker 1>roof in terms of evaluation. Well, it's safe to say

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<v Speaker 1>that one of the reasons that Tesla has become so

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<v Speaker 1>popular and is captured the imagination is the environment and

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<v Speaker 1>people really caring about the impact of the planet, the

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<v Speaker 1>car industry, etcetera, which leads us tog and Green and

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<v Speaker 1>Bloomberg Green, which announced We've just announced this week big launch.

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<v Speaker 1>This is the company really down the newsroomally doubling down

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<v Speaker 1>on a space that we think there's going to be

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<v Speaker 1>some amazing coverage around, all rooted in data. But look

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<v Speaker 1>like climate change is the story of the moment um

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<v Speaker 1>and it's not one that's going away, and we really

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<v Speaker 1>wanted to root that story in in data and stories

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<v Speaker 1>that are going to be really memorable. So that's what

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<v Speaker 1>you should expect from Bloomberg Green. And in this issue

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<v Speaker 1>of Bloomberg Business Week, we use that data as a

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<v Speaker 1>centerpiece and a story about quants and how they're looking

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<v Speaker 1>at is G data. Yeah, and if you think about

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<v Speaker 1>who's got the most data is the quant and they're

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<v Speaker 1>really good at using it, right, but the catches, not

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<v Speaker 1>all of the data really completes the picture. And what

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<v Speaker 1>quants are actually really good at our plugging those holes

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<v Speaker 1>in smart ways, well, Bloombergreen kind of helping to complete

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<v Speaker 1>the picture too, right. This is just an all in platform,

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<v Speaker 1>you know, online TV radio, they have this incredible dashboard,

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<v Speaker 1>but it's all about things that impact the environment and

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<v Speaker 1>really tracking what's going on and bringing it back to data,

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<v Speaker 1>like quantifiable things that we can look at and like

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<v Speaker 1>where we're applicable, where are places that we can actually

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<v Speaker 1>make change? And I think that will be that impact

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<v Speaker 1>will be a really amazing element of this Bloombergreen project.

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<v Speaker 1>A story of our time for sure. Another story of

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<v Speaker 1>our time, obviously is China and sports. We love talking

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<v Speaker 1>about it and a phenomenal profile by Ira blud Way

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<v Speaker 1>of Joe Psi, the owner of the Brooklyn Nets, vice chairman,

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<v Speaker 1>co founder of Ali Baba. Talk about a man in

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<v Speaker 1>the center of it all. So what's interesting about this

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<v Speaker 1>is that I don't think many people knew who this

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<v Speaker 1>guy was until the NBA and nine of fiasco happened

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<v Speaker 1>a couple of months ago. And that was immediately when

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<v Speaker 1>we're like, wait, that guy who just acquired the nets

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<v Speaker 1>Brooklyn Nets, now uh is the co founder Valley Baba.

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<v Speaker 1>His story is even more remarkable than that. He's taiwan

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<v Speaker 1>He's born Ivy League educated, lives in Hong Kong, speaks Mandarin,

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<v Speaker 1>you know, billionaire and yet in the middle of this

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<v Speaker 1>whole dilemma between how the NBA and China are gonna interact,

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<v Speaker 1>he put out a really thoughtful note and it made

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<v Speaker 1>us go, we want to talk to that guy, because

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<v Speaker 1>he's really in the thick of everything that's transpiring between worlds. Well,

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<v Speaker 1>and Ira not only got to talk to him, he

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<v Speaker 1>got to talk to Jack mat and really presents this

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<v Speaker 1>portrait of someone who represents the biggest story about time.

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<v Speaker 1>As I said, and he looked at the Brooklyn Nets

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<v Speaker 1>and said, you know what's the best investment better than

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<v Speaker 1>a Park Avenue apartment? Professional sports and NBA, And that's

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<v Speaker 1>Bloomberg Business Week editor Joel Webber the benefits of free trade, Jason.

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<v Speaker 1>They have been touted for decades, and based on what's

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<v Speaker 1>going on in the world, that era a free trade

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<v Speaker 1>maybe coming to an end. So I learned something very

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<v Speaker 1>interesting this week from reading this story. I always learned

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<v Speaker 1>something from Peter Coy. He's here with us in New

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<v Speaker 1>York City. Managed trade is a term that I don't

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<v Speaker 1>think if I had heard, I really understood until I

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<v Speaker 1>read your story. Tell us what it is. Managed trade

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<v Speaker 1>is where, instead of started letting the chips fall where

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<v Speaker 1>they may, letting private parties work things out for themselves,

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<v Speaker 1>you sort of dictate terms. So, for example, the Voluntary

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<v Speaker 1>Restraining Agreement on autos with Japan, that was a form

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<v Speaker 1>of managed trade. It was quote unquote voluntary and effect.

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<v Speaker 1>It was a quota on Japanese imports of cars. We

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<v Speaker 1>seem to be going through another era of that now,

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<v Speaker 1>and the US China Deal, the Phase one deal that

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<v Speaker 1>was signed by Trump earlier this month, is an example

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<v Speaker 1>of that. According to Gary Clyde Hoffbauer from the Peterson

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<v Speaker 1>Institute for International Economics, recall, the deal has a provision

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<v Speaker 1>that China will buy two billion in dollars worth of

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<v Speaker 1>products from the US of a certain period of time.

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<v Speaker 1>And there's a secret provision in that agreement, secret we

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<v Speaker 1>haven't seen it, that specifies what products and what volumes.

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<v Speaker 1>So this is not free trade by any means. This

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<v Speaker 1>is an agreement between two countries where it's just hammered

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<v Speaker 1>out in a in a back room, and you can

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<v Speaker 1>argue as good or as bad. But it's clearly not

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<v Speaker 1>ordinary less a fair free trade. So why are you

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<v Speaker 1>writing about it? Why is it so significant? You think

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<v Speaker 1>that maybe we be that we're pushing back on the

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<v Speaker 1>error free trade and remind us of free trade was

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<v Speaker 1>the whole concept right of nations doing what they do best,

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<v Speaker 1>that buying what they needed, and everybody kind of doing

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<v Speaker 1>the best that they could and everybody benefits. That's the

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<v Speaker 1>ideal econ one a one version of trade, and it

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<v Speaker 1>it can work, does work in many cases. Now, the

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<v Speaker 1>argument in favor of managed trade would be, look, um,

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<v Speaker 1>China is just not whole ending up its end of

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<v Speaker 1>the bargain, and they're not a market economy, so why

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<v Speaker 1>are we pretending they are a market economy. Let's just

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<v Speaker 1>knock heads and get a deal done. And that is

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<v Speaker 1>what the Robert Leightheiser, the U s Trade representative, and

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<v Speaker 1>Trump seems to have concluded. Because I feel like it's like, well,

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<v Speaker 1>sometimes a nation, maybe China, because they don't necessarily play

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<v Speaker 1>like everybody else on the developed world stage, that maybe

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<v Speaker 1>they need a little bit of nudging, Maybe they need

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<v Speaker 1>some are so so that is the pro argument. The

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<v Speaker 1>con argument is that there is harm done here, and

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<v Speaker 1>one form of harm is that you end up um

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<v Speaker 1>China is buying absurd amounts of things that doesn't really need,

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<v Speaker 1>which course is not a US concerned, but it's just

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<v Speaker 1>like creating inefficiencies on both sides. The other harm here

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<v Speaker 1>is that let's say that the US we don't know

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<v Speaker 1>what the terms of deal are, but I can imagine

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<v Speaker 1>there's probably a lot of soybeans in there. So um, Canada,

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<v Speaker 1>Brazil had captured a lot of the soybean market from

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<v Speaker 1>the US. Now the US is kind of capturing it back.

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<v Speaker 1>Well more generally speaking, what happens is that the country

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<v Speaker 1>that is suddenly um frozen out of the market because

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<v Speaker 1>the US is coming in as a legitimate complaint, can

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<v Speaker 1>go to the World Trade Organization. In fact, the Europeans

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<v Speaker 1>have already, uh we had Phil Hogan, he's the US

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<v Speaker 1>I mean the European Union Trade commissioner in Washington this

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<v Speaker 1>past week. He said, we haven't read it yet, or

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<v Speaker 1>we'll take a close look at this, and if we

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<v Speaker 1>believe that this is managed trade, which is against the

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<v Speaker 1>principles of the World Trade Organization, we could bring a complaint.

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<v Speaker 1>So one of the lines in your story that I

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<v Speaker 1>think is really revealing in many ways, and I think

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<v Speaker 1>we'll resonate with a lot of our readers, listeners and viewers,

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<v Speaker 1>is that managed trade is about cutting deals rather than

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<v Speaker 1>following the rules. And I think any one who has

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<v Speaker 1>watched this administration will say, yep, that checks out right.

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<v Speaker 1>I mean, this is the whole ethos of the Trump

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<v Speaker 1>administration in many ways, and you know, makes no bones

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<v Speaker 1>about it. That's what he wants to do. He's doing it.

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<v Speaker 1>And uh, there are people who would say it's it's

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<v Speaker 1>achieving certain objectives. Um. But in the broad picture, the US,

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<v Speaker 1>going back to Franklin delan or Roosevelt pastor Recipolical Trade

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<v Speaker 1>Agreements Act, that was about trying to pull back from

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<v Speaker 1>the smooth holly terrorist which contributed to the onset of

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<v Speaker 1>the Great Depression. The idea that we want to increase

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<v Speaker 1>commerce between countries and the US for decades has generally

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<v Speaker 1>been in the forefront of promoting free trade. We have

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<v Speaker 1>the General givement on tarris and trade. That's gap. Then

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<v Speaker 1>we then we had the World Trade Organizations successor and

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<v Speaker 1>and I think we'll forget it. So I didn't run.

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<v Speaker 1>But like the w t OH that was just created

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<v Speaker 1>in the ninety nineties, right, I mean, that's a relatively

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<v Speaker 1>recent invention, and the whole goal is to that everyone

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<v Speaker 1>benefits when there's more commerce, and in fact we've seen that.

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<v Speaker 1>I mean, certainly the rise of China and India lifting

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<v Speaker 1>hundreds of millions of people from poverty, has a lot

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<v Speaker 1>to do with their joining the World trade UH system. So, Peter,

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<v Speaker 1>is this just something that the US is pursuing. Well,

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<v Speaker 1>it's most conspicuous in the United States thanks to Trump's

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<v Speaker 1>whole philosophy and trade. In fact, we've seen some examples

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<v Speaker 1>of free trade elsewhere. There's a year ago the European

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<v Speaker 1>Union in Japan struck a free trade agreement. Just in

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<v Speaker 1>UH this month earlier January one, UH, China actually pulled

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<v Speaker 1>back on some tariffs. So it's a it's a little

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<v Speaker 1>bit of a jiu jitsu thing, you know. It's not

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<v Speaker 1>that China is suddenly a free trade country, but they

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<v Speaker 1>see the advantages of striking agreements like this. Now, I

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<v Speaker 1>do believe that the United States is so influential that

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<v Speaker 1>when managed trade starts to come into the U S agreements,

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<v Speaker 1>there's a good chance that other countries could look at

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<v Speaker 1>and say, hey, we can either fight this or we

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<v Speaker 1>could join it, and I might start doing the same thing. Well,

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<v Speaker 1>and I do wonder and you address this a bit

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<v Speaker 1>in your story, Peter, how do you square or how

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<v Speaker 1>does this managed trade phenomenon and the resurgence of it

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<v Speaker 1>relate to the lack of multilateralism and sort of a

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<v Speaker 1>move towards bilateralism is part of it. I talked to

0:12:36.240 --> 0:12:39.559
<v Speaker 1>Myron Brilliant, He's the person who handles trade issues for

0:12:39.600 --> 0:12:41.760
<v Speaker 1>the US Chamber of Commerce, and he said, you know,

0:12:41.960 --> 0:12:45.680
<v Speaker 1>we had an air of multilateralism. Trump has been quite specific.

0:12:45.840 --> 0:12:50.040
<v Speaker 1>He does not believe in multilateral bilateralism, and he believes

0:12:50.080 --> 0:12:53.120
<v Speaker 1>that tariffs are a useful weapon. In fact, that's the

0:12:53.160 --> 0:12:55.800
<v Speaker 1>card you will be able to play. He believes that

0:12:55.920 --> 0:12:57.880
<v Speaker 1>since the US of the world's largest market, and it

0:12:57.920 --> 0:13:02.200
<v Speaker 1>does that the best way to strike a deal is

0:13:02.240 --> 0:13:05.440
<v Speaker 1>to threaten to withhold access to that market. That's Peter Coy,

0:13:05.600 --> 0:13:08.280
<v Speaker 1>economics editor of the magazine. I think what's interesting. We've

0:13:08.280 --> 0:13:10.959
<v Speaker 1>talked about free trade and how important it has been

0:13:11.040 --> 0:13:14.319
<v Speaker 1>Jason to lifting so many people around the world out

0:13:14.360 --> 0:13:17.240
<v Speaker 1>of poverty. But maybe that era is over well, and

0:13:17.480 --> 0:13:19.960
<v Speaker 1>that era may be over for a long time. I

0:13:19.960 --> 0:13:21.839
<v Speaker 1>think one of the things that Peter does a nice

0:13:21.920 --> 0:13:24.560
<v Speaker 1>job of illustrating this story is these are not things

0:13:24.600 --> 0:13:27.600
<v Speaker 1>that change overnight, and once a shift like this happens,

0:13:27.920 --> 0:13:30.319
<v Speaker 1>we could be looking at a very different world for decades,

0:13:30.360 --> 0:13:33.120
<v Speaker 1>maybe even a century to come. The protests in Hong

0:13:33.160 --> 0:13:35.440
<v Speaker 1>Kong what now in their seventh month? Jason and the

0:13:35.480 --> 0:13:37.559
<v Speaker 1>impact has been felt on a city that is known

0:13:37.600 --> 0:13:39.679
<v Speaker 1>for its wealth and its high end retail and services.

0:13:39.800 --> 0:13:42.679
<v Speaker 1>It's also well known for those who really know about it,

0:13:42.800 --> 0:13:47.240
<v Speaker 1>for a vast sea of income inequality. It's amazing when

0:13:47.240 --> 0:13:50.640
<v Speaker 1>you look at the numbers that disparity when it comes

0:13:50.640 --> 0:13:53.480
<v Speaker 1>to how much people earn. Jim Allis is here, business

0:13:53.600 --> 0:13:57.440
<v Speaker 1>editor for Bloomberg Business Week to alp us understand the

0:13:57.480 --> 0:14:01.439
<v Speaker 1>employment and unemployment picture that is fast changing. I mean,

0:14:01.480 --> 0:14:03.880
<v Speaker 1>a lot of people have always thought of Hong Kong

0:14:04.360 --> 0:14:06.959
<v Speaker 1>not just as this sort of shopping mecca, but also

0:14:07.080 --> 0:14:10.360
<v Speaker 1>is this place of extreme wealth in in Asia, particularly

0:14:10.400 --> 0:14:14.360
<v Speaker 1>in China. And that's true. It has lots of millionaires.

0:14:14.400 --> 0:14:17.080
<v Speaker 1>It's to play place for the rich. The issue is

0:14:17.080 --> 0:14:19.120
<v Speaker 1>it has an awful lot of people who don't make

0:14:19.200 --> 0:14:22.400
<v Speaker 1>much money. The minimum wage in um Hong Kong is

0:14:22.440 --> 0:14:25.880
<v Speaker 1>actually a little less than five U S dollars. I

0:14:25.880 --> 0:14:29.480
<v Speaker 1>mean that it comes out to being very low. It's

0:14:29.560 --> 0:14:32.360
<v Speaker 1>also the lowest in the A C D. And it

0:14:32.400 --> 0:14:35.800
<v Speaker 1>turns out that what what you have there is a

0:14:35.880 --> 0:14:40.200
<v Speaker 1>gigantic income gap that really gets felt as the you know,

0:14:40.280 --> 0:14:43.560
<v Speaker 1>slow down in the economy happens now because of the

0:14:43.600 --> 0:14:46.640
<v Speaker 1>protests has the biggest inequality gap in the world. Right.

0:14:46.680 --> 0:14:48.720
<v Speaker 1>I think it's is that the Jinny coefficient right where

0:14:48.720 --> 0:14:51.120
<v Speaker 1>they measure that, So it's it's huge, it is a

0:14:51.240 --> 0:14:53.600
<v Speaker 1>it's a it's a giant difference. And I think what

0:14:53.720 --> 0:14:57.200
<v Speaker 1>happens is that you really see it now that the

0:14:57.280 --> 0:15:00.640
<v Speaker 1>economy is slowing down rather dramatically because of the protests,

0:15:00.880 --> 0:15:04.040
<v Speaker 1>all of a sudden employment. This is a place where

0:15:04.080 --> 0:15:07.600
<v Speaker 1>employment has always been extremely high and unemployment has always

0:15:07.600 --> 0:15:11.960
<v Speaker 1>been traditionally. Traditionally, unemployment is less than two percent in

0:15:12.080 --> 0:15:15.040
<v Speaker 1>Hong Kong and UM. So when you see the kinds

0:15:15.080 --> 0:15:18.720
<v Speaker 1>of employment numbers we're looking at now, in retail workers,

0:15:18.840 --> 0:15:24.160
<v Speaker 1>unemployment has gone closer to five percent in UM restaurant workers,

0:15:24.160 --> 0:15:27.280
<v Speaker 1>it's about six percent. Now, that sounds not that for

0:15:27.320 --> 0:15:29.920
<v Speaker 1>a lot of economies, but for Hong Kong, that's double

0:15:30.200 --> 0:15:33.920
<v Speaker 1>triple what traditionally is an unemployment rate. What's happening there

0:15:34.360 --> 0:15:38.040
<v Speaker 1>is that people are discovering folks have stopped coming because

0:15:38.040 --> 0:15:40.520
<v Speaker 1>of the protests and other reasons. So we're going to

0:15:40.560 --> 0:15:43.440
<v Speaker 1>basically start firing people. And they have and they have,

0:15:43.600 --> 0:15:45.360
<v Speaker 1>and they've been firing them, and now there's a fear

0:15:45.400 --> 0:15:48.320
<v Speaker 1>in Hong Kong, that there will be more firings to come,

0:15:48.400 --> 0:15:52.480
<v Speaker 1>simply because we're starting the Lunar New Year celebration. One

0:15:52.480 --> 0:15:55.280
<v Speaker 1>of the quirks of that is that people get lunar

0:15:55.320 --> 0:15:58.600
<v Speaker 1>near Lunar New Year bonuses and they'll get an extra

0:15:58.680 --> 0:16:02.120
<v Speaker 1>month's salary. But a lot of people are afraid that, ah,

0:16:02.160 --> 0:16:04.240
<v Speaker 1>they'll use that extra months salary that comes with the

0:16:04.320 --> 0:16:07.520
<v Speaker 1>bonus to also count as your month severance that you're

0:16:07.520 --> 0:16:10.040
<v Speaker 1>required to pay, and so as soon as you pay

0:16:10.080 --> 0:16:13.960
<v Speaker 1>the bonus, you'll fire people. And that's the big fear well.

0:16:14.000 --> 0:16:15.440
<v Speaker 1>And one of the things you pointed out in the story,

0:16:15.440 --> 0:16:18.240
<v Speaker 1>which I find so interesting is this notion that there's

0:16:18.240 --> 0:16:20.720
<v Speaker 1>a knock on effect too that if people aren't working,

0:16:20.720 --> 0:16:23.240
<v Speaker 1>if the economy slows a little bit, even some of

0:16:23.280 --> 0:16:27.320
<v Speaker 1>those essentially like safety net that exists, you know, meals

0:16:27.320 --> 0:16:30.080
<v Speaker 1>being delivered and things like that, that starts to get cut.

0:16:30.360 --> 0:16:33.240
<v Speaker 1>A lot of meals that were given um are sometimes

0:16:33.320 --> 0:16:37.160
<v Speaker 1>given by restaurants for free. And but now the restaurants

0:16:37.200 --> 0:16:40.800
<v Speaker 1>themselves have fewer visitors because tourism is so far down

0:16:41.080 --> 0:16:44.760
<v Speaker 1>in Hong Kong since the time the protests started, I

0:16:44.760 --> 0:16:48.520
<v Speaker 1>mean tourism has dropped, I guess in November dropped probably

0:16:48.800 --> 0:16:52.680
<v Speaker 1>close to That's hard to imagine. I mean, what's happened

0:16:52.760 --> 0:16:55.680
<v Speaker 1>is a lot of Mainlanders and they depend on Mainlanders

0:16:55.680 --> 0:16:59.080
<v Speaker 1>for their tourism because of visitors to Hong Kong come

0:16:59.120 --> 0:17:02.240
<v Speaker 1>from the mainland. A lot of them either afraid to

0:17:02.280 --> 0:17:06.159
<v Speaker 1>come right now are They're angry that the protesters in

0:17:06.200 --> 0:17:09.240
<v Speaker 1>Hong Kong seem to be anti China, and so from

0:17:09.240 --> 0:17:12.719
<v Speaker 1>mainland there's this has become a nationalistic issue, and so

0:17:12.760 --> 0:17:14.879
<v Speaker 1>they're saying, why should I spend why should I go

0:17:15.000 --> 0:17:17.840
<v Speaker 1>over and uh, you know, do my vacation there when

0:17:17.840 --> 0:17:19.400
<v Speaker 1>I can go elsewhere in the world. Well, and what's

0:17:19.400 --> 0:17:22.720
<v Speaker 1>interesting too from a worker's perspective, if you're a banker,

0:17:23.119 --> 0:17:25.800
<v Speaker 1>you're just picking up stakes and either moving back to London,

0:17:25.800 --> 0:17:28.840
<v Speaker 1>New York or maybe you're relocating to Singapore if you

0:17:28.840 --> 0:17:31.320
<v Speaker 1>want to stay generally in the region. That's what's happening.

0:17:31.320 --> 0:17:34.119
<v Speaker 1>And a lot of banquages are saying, you know, is

0:17:34.160 --> 0:17:36.800
<v Speaker 1>this worth that? Are A lot of companies are saying,

0:17:36.960 --> 0:17:39.760
<v Speaker 1>do we really want to be around there right now

0:17:39.760 --> 0:17:41.919
<v Speaker 1>while this term all is going on? And so the

0:17:41.920 --> 0:17:45.280
<v Speaker 1>beneficiaries of that would be another financial center like Singapore

0:17:45.400 --> 0:17:49.200
<v Speaker 1>are sometimes jobs just go back home. I have to say, though, okay,

0:17:49.280 --> 0:17:51.240
<v Speaker 1>all right, as you say the bankers can find another

0:17:51.280 --> 0:17:53.399
<v Speaker 1>place to live. I mean, what's great about this story?

0:17:53.480 --> 0:17:55.159
<v Speaker 1>What's tragic about this story? And you guys give a

0:17:55.200 --> 0:17:58.000
<v Speaker 1>lot of personal examples of people who don't live on

0:17:58.119 --> 0:18:00.639
<v Speaker 1>much to begin with, right, and some of them they

0:18:00.640 --> 0:18:03.520
<v Speaker 1>talk about these part time workers in the restaurant industry

0:18:03.680 --> 0:18:06.520
<v Speaker 1>that are basically being told to take unpaid leave until

0:18:06.520 --> 0:18:08.920
<v Speaker 1>the economy recovers. It's like, how do you do that? Well,

0:18:08.920 --> 0:18:11.399
<v Speaker 1>there's not much you can do. Um. One of the

0:18:11.560 --> 0:18:15.360
<v Speaker 1>interesting people in the story is a woman who pilots

0:18:15.400 --> 0:18:19.359
<v Speaker 1>a boat that takes diners from the mainland to the

0:18:19.480 --> 0:18:22.680
<v Speaker 1>jumbo restaurant that sits out in Hong Kong Harbor. We've

0:18:22.720 --> 0:18:25.520
<v Speaker 1>all seen pictures of the red restaurant floating there, and

0:18:25.760 --> 0:18:29.800
<v Speaker 1>she used to make thirteen, sometimes twenty six dollars a day.

0:18:29.920 --> 0:18:34.080
<v Speaker 1>Now she's making many days nothing, and that's because fewer

0:18:34.080 --> 0:18:37.160
<v Speaker 1>people are going. The restaurant itself, which is world famous,

0:18:37.400 --> 0:18:40.560
<v Speaker 1>you know, has had to fire half of its employees,

0:18:40.840 --> 0:18:43.560
<v Speaker 1>cut down the number of hours that it operates, and

0:18:43.560 --> 0:18:45.840
<v Speaker 1>cut down the number of days a week that it's open.

0:18:46.160 --> 0:18:48.520
<v Speaker 1>I mean, this is really serious business. And that's Jim

0:18:48.600 --> 0:18:51.520
<v Speaker 1>Ellis talking about Hong Kong and of course Carrol. This

0:18:51.560 --> 0:18:55.800
<v Speaker 1>story got only more complicated this week with the spread

0:18:55.880 --> 0:18:59.480
<v Speaker 1>of that virus that started in Wuhan now has been

0:19:00.040 --> 0:19:03.320
<v Speaker 1>commented in cases in Hong Kong and Singapore, even here

0:19:03.320 --> 0:19:06.480
<v Speaker 1>in the United States. So the Chinese Lunar New Year

0:19:07.040 --> 0:19:09.800
<v Speaker 1>off to a very difficult start, that city being impacted

0:19:09.840 --> 0:19:12.560
<v Speaker 1>from so many different angles. Safe to say, one of

0:19:12.560 --> 0:19:16.240
<v Speaker 1>the more polarizing stocks, companies and individuals is Tesla and

0:19:16.320 --> 0:19:18.639
<v Speaker 1>Elon Musk. I think that is the understatement of the

0:19:18.720 --> 0:19:21.680
<v Speaker 1>year that's going to take the cake, and so much

0:19:21.680 --> 0:19:24.119
<v Speaker 1>of it plays out on Twitter. Absolutely it is the

0:19:24.119 --> 0:19:26.480
<v Speaker 1>place to go if you want to figure out who's

0:19:26.640 --> 0:19:30.880
<v Speaker 1>where on anything. We count a lot on Dana Hall

0:19:31.200 --> 0:19:33.840
<v Speaker 1>to keep us on us on all things Tesla, all

0:19:33.880 --> 0:19:37.600
<v Speaker 1>things Elon, and all things Twitter when it comes to

0:19:37.800 --> 0:19:41.040
<v Speaker 1>this company. She joins us from San Francisco, an amazing

0:19:41.119 --> 0:19:44.560
<v Speaker 1>story in this latest edition of the magazine. Dana, thanks

0:19:44.600 --> 0:19:47.359
<v Speaker 1>so much for being with us. My pleasure, all right,

0:19:47.440 --> 0:19:52.280
<v Speaker 1>So take us inside this confrontation. It feels like this

0:19:52.400 --> 0:19:57.560
<v Speaker 1>ongoing confrontation between the two sides of the Tesla equation

0:19:57.600 --> 0:20:01.600
<v Speaker 1>because there's a community that's essentially been created on Twitter

0:20:02.000 --> 0:20:07.960
<v Speaker 1>that is, shall we say not fans. Yeah, so it's

0:20:08.000 --> 0:20:10.840
<v Speaker 1>sort of known as Tesla Q, and the que is

0:20:10.880 --> 0:20:14.680
<v Speaker 1>added to a company's stock symbol when it files for bankruptcy. Clearly,

0:20:14.760 --> 0:20:17.320
<v Speaker 1>Tesla has not filed for bankruptcy, but there is a

0:20:17.359 --> 0:20:21.280
<v Speaker 1>fairly significant group of people who sort of either feel

0:20:21.320 --> 0:20:24.040
<v Speaker 1>like that's inevitable or they just are not buying what

0:20:24.080 --> 0:20:27.200
<v Speaker 1>Elon Musk is selling. And you know, there have always

0:20:27.200 --> 0:20:30.399
<v Speaker 1>been critics of Tesla on you know, Yahoo Finance and

0:20:30.440 --> 0:20:33.159
<v Speaker 1>Seeking Alpha, but kind of over time, the criticism of

0:20:33.200 --> 0:20:36.960
<v Speaker 1>Tesla migrated to Twitter and the and the hashtag tesla

0:20:37.040 --> 0:20:39.040
<v Speaker 1>q really kind of came into vogue over the past

0:20:39.080 --> 0:20:42.359
<v Speaker 1>couple of years. And with every big news announcement or

0:20:42.400 --> 0:20:45.080
<v Speaker 1>big news event like when Ellen attempted to take the

0:20:45.080 --> 0:20:48.080
<v Speaker 1>company private at fo share, you just saw the tesla

0:20:48.119 --> 0:20:50.520
<v Speaker 1>q hashtag more and more. So it's this sort of

0:20:50.560 --> 0:20:55.240
<v Speaker 1>fascinating world of people that are very critical of Musk.

0:20:55.400 --> 0:20:57.199
<v Speaker 1>Some of them are short sellers, some of them are

0:20:57.240 --> 0:21:00.800
<v Speaker 1>just critics, and it's almost like a alter bubble where,

0:21:00.840 --> 0:21:03.399
<v Speaker 1>you know, if you just follow the tesla Q hashtag

0:21:03.480 --> 0:21:05.359
<v Speaker 1>and you get a completely different view of the company

0:21:05.400 --> 0:21:08.399
<v Speaker 1>that if you follow Musk and all of his adoring fans.

0:21:08.520 --> 0:21:12.080
<v Speaker 1>There's one critic in particular data that you go into

0:21:12.200 --> 0:21:14.760
<v Speaker 1>Randy Pothy. Tell us about him? Who is he? And

0:21:14.960 --> 0:21:17.240
<v Speaker 1>how did he come to have such a big ward

0:21:17.320 --> 0:21:21.440
<v Speaker 1>seems like Twitter war with Elon Musk? Sure, so, Randy

0:21:21.520 --> 0:21:24.840
<v Speaker 1>Pothy is a really fascinating person. You know, tesla Q

0:21:25.080 --> 0:21:27.520
<v Speaker 1>is filled with all kinds of people, and as I

0:21:27.560 --> 0:21:29.480
<v Speaker 1>was kind of trying to explore this world, I was

0:21:29.520 --> 0:21:32.520
<v Speaker 1>looking for a character who could kind of explain what

0:21:32.640 --> 0:21:36.840
<v Speaker 1>this community was all about. And Heathy is an individual

0:21:36.880 --> 0:21:40.040
<v Speaker 1>whose real claim to fame is that he really dogged

0:21:40.080 --> 0:21:44.000
<v Speaker 1>tesla on production at their Fremont factory in eighteen and

0:21:44.080 --> 0:21:47.760
<v Speaker 1>he would post these photographs of the logistics lot and

0:21:47.800 --> 0:21:50.320
<v Speaker 1>the finished vehicle lot and he seemed to really have

0:21:50.400 --> 0:21:53.159
<v Speaker 1>like a beat on daily production numbers. And everyone was

0:21:53.200 --> 0:21:55.560
<v Speaker 1>trying to figure out who is this Skabushka character? Is

0:21:55.600 --> 0:21:59.080
<v Speaker 1>he a contractor a supplier, a former employee at current

0:21:59.119 --> 0:22:01.680
<v Speaker 1>employee like he seems to be in Fremont every day?

0:22:01.720 --> 0:22:05.320
<v Speaker 1>Like who who is this person? And um And as

0:22:05.320 --> 0:22:06.720
<v Speaker 1>I got to know him. I just you know, found

0:22:06.800 --> 0:22:09.320
<v Speaker 1>him to be sort of a really intriguing figure. He

0:22:09.880 --> 0:22:12.680
<v Speaker 1>has short of Tesla stock, but to be clear, he's

0:22:12.720 --> 0:22:14.919
<v Speaker 1>not like a major short seller in the way that

0:22:14.960 --> 0:22:17.320
<v Speaker 1>we think of, you know, Jim Chainos or David iin Horn.

0:22:17.720 --> 0:22:20.480
<v Speaker 1>He's actually a graduate student at the University of Michigan.

0:22:21.920 --> 0:22:25.280
<v Speaker 1>And so why is he so passionate about this? Because

0:22:25.320 --> 0:22:29.000
<v Speaker 1>he spends a lot of time on this, Dana, Yeah,

0:22:29.040 --> 0:22:30.840
<v Speaker 1>he certainly, he certainly did. I mean I think that

0:22:30.960 --> 0:22:33.640
<v Speaker 1>you know, he's just sort of you know he, I mean,

0:22:33.680 --> 0:22:36.560
<v Speaker 1>he's a he's a very research based, uh you know,

0:22:36.720 --> 0:22:40.320
<v Speaker 1>fellow who has been a lifelong student. He got interested

0:22:40.359 --> 0:22:43.160
<v Speaker 1>in the stock market and capitalism. He grew up in Fremont,

0:22:43.200 --> 0:22:46.040
<v Speaker 1>not far from where Tesla has its factory, and the

0:22:46.080 --> 0:22:48.840
<v Speaker 1>more he kind of dug into Tesla's financials, the more

0:22:48.920 --> 0:22:51.879
<v Speaker 1>alarmed he grew by, you know, the pronouncements that the

0:22:51.920 --> 0:22:54.800
<v Speaker 1>company was making. And because he um, you know, lives

0:22:54.800 --> 0:22:56.040
<v Speaker 1>in the Bay Area, he was kind of in a

0:22:56.080 --> 0:22:59.200
<v Speaker 1>position to do on the ground research. You know that

0:22:59.200 --> 0:23:01.200
<v Speaker 1>that is very value ball to a lot of people.

0:23:01.320 --> 0:23:04.119
<v Speaker 1>So he just started putting his research out and it

0:23:04.160 --> 0:23:07.280
<v Speaker 1>all came to a head in April of twenty nineteen,

0:23:07.400 --> 0:23:11.879
<v Speaker 1>when he actually followed a Tesla car that was testing autopilot,

0:23:12.359 --> 0:23:14.800
<v Speaker 1>tweeted about that, and then Tesla actually went to court

0:23:14.840 --> 0:23:19.359
<v Speaker 1>to get a restraining order against him. Why well, Tesla

0:23:19.440 --> 0:23:22.800
<v Speaker 1>argued that he was, you know, driving dangerously close to

0:23:22.840 --> 0:23:25.280
<v Speaker 1>their employees, was trying to sort of mess up the demo,

0:23:25.440 --> 0:23:28.240
<v Speaker 1>that he was a threat, and um, you know, I

0:23:28.240 --> 0:23:30.600
<v Speaker 1>mean they were clearly kind of you know, threatned. They

0:23:30.600 --> 0:23:33.680
<v Speaker 1>felt Tesla's a company, felt threatened by his research, and

0:23:34.000 --> 0:23:35.840
<v Speaker 1>they felt like they, you know, needed to sort of

0:23:35.880 --> 0:23:38.840
<v Speaker 1>do something to keep him away from their employees. This

0:23:38.960 --> 0:23:41.520
<v Speaker 1>all was coming about right before Tesla was having its

0:23:41.560 --> 0:23:45.120
<v Speaker 1>big autonomy day for investors as well. And what's interesting

0:23:45.200 --> 0:23:47.879
<v Speaker 1>too is somewhere and helped me out with the timeline.

0:23:48.200 --> 0:23:51.200
<v Speaker 1>There was a Dauphier on Hothie that was released as well.

0:23:51.240 --> 0:23:53.960
<v Speaker 1>I mean, he's also been kind of feeling a little

0:23:53.960 --> 0:23:58.320
<v Speaker 1>threatened as well and right targeted. Yeah, I mean it's

0:23:58.359 --> 0:24:00.720
<v Speaker 1>called doxing. So you know a lot of people who

0:24:00.760 --> 0:24:03.600
<v Speaker 1>are on Twitter use you know, sort of aliases or

0:24:03.640 --> 0:24:06.360
<v Speaker 1>pseudonyms because there's sort of a history of people who

0:24:06.359 --> 0:24:10.440
<v Speaker 1>have been critical of Tesla and Musk being docksed. Hothie

0:24:10.520 --> 0:24:14.280
<v Speaker 1>was docked as well in July, and people didn't really

0:24:14.280 --> 0:24:16.040
<v Speaker 1>notice it at the time, but yes, someone on Twitter

0:24:16.320 --> 0:24:20.240
<v Speaker 1>kind of release this this dossier that linked him to,

0:24:20.760 --> 0:24:23.880
<v Speaker 1>you know, his graduate school where his brother worked. I mean,

0:24:24.040 --> 0:24:27.480
<v Speaker 1>so he was definitely feeling exposed as well. So, Dana,

0:24:27.640 --> 0:24:30.520
<v Speaker 1>you know, you followed this company as closely, more closely

0:24:30.520 --> 0:24:33.960
<v Speaker 1>than almost anyone certainly that that I know or am

0:24:34.000 --> 0:24:36.560
<v Speaker 1>able to read and keep up with. And you have

0:24:36.600 --> 0:24:38.879
<v Speaker 1>a quote from Gene Munster, He's been a guest on

0:24:38.880 --> 0:24:41.399
<v Speaker 1>our show as well, that I think really is an

0:24:41.480 --> 0:24:44.800
<v Speaker 1>interesting take on this battle. The broader Battle. I'm just

0:24:44.800 --> 0:24:47.960
<v Speaker 1>gonna read it says they, meaning the folks who have

0:24:48.200 --> 0:24:53.480
<v Speaker 1>really started to, you know, question Tesla. They put Tesla

0:24:53.560 --> 0:24:56.760
<v Speaker 1>under a microscope, and they've succeeded in diluting the company's success.

0:24:57.000 --> 0:25:00.680
<v Speaker 1>It leaves the average person who loosely follows Tesla infused

0:25:00.800 --> 0:25:03.919
<v Speaker 1>and concerned. And I have to say I agree at

0:25:03.960 --> 0:25:07.760
<v Speaker 1>least with the confused part, because you have these unbelievably

0:25:07.920 --> 0:25:11.399
<v Speaker 1>rabid people on both sides. It feels very binary in

0:25:11.440 --> 0:25:15.199
<v Speaker 1>a lot of ways. What's the net effect of that? Yeah,

0:25:15.240 --> 0:25:18.080
<v Speaker 1>I mean absolutely it's incredibly binary. And if you and

0:25:18.119 --> 0:25:20.760
<v Speaker 1>if you subscribe to sort of one set of people

0:25:20.760 --> 0:25:23.439
<v Speaker 1>and not the other, you get a completely deluded sense

0:25:23.600 --> 0:25:25.600
<v Speaker 1>of what the company is all about. So, you know,

0:25:25.640 --> 0:25:30.320
<v Speaker 1>a classic example is if there's a Tesla accident involving

0:25:30.320 --> 0:25:33.879
<v Speaker 1>one of the vehicles, tesla Q will amplify those accidents,

0:25:33.880 --> 0:25:36.359
<v Speaker 1>but often I mean, and you might not see anything

0:25:36.720 --> 0:25:39.800
<v Speaker 1>anything about it otherwise from the fans. Um. You know,

0:25:40.119 --> 0:25:42.320
<v Speaker 1>with everything that the company does, it is under a

0:25:42.320 --> 0:25:46.320
<v Speaker 1>microscope and um and so. But but I do think

0:25:46.320 --> 0:25:48.760
<v Speaker 1>that tesla Q, you know, they are a lot of them,

0:25:48.800 --> 0:25:51.680
<v Speaker 1>are very smart. They dig deep into the company's financials,

0:25:51.920 --> 0:25:54.439
<v Speaker 1>and they've been right. I mean, they haven't always been right,

0:25:54.480 --> 0:25:57.120
<v Speaker 1>but they have been right about some things. And so

0:25:57.600 --> 0:26:01.560
<v Speaker 1>their their ability to kind of influence perception um is

0:26:01.880 --> 0:26:03.600
<v Speaker 1>an interesting one. At the same time, you know, we

0:26:03.640 --> 0:26:05.760
<v Speaker 1>have to remember that Musk is a celebrity. He has

0:26:05.800 --> 0:26:09.320
<v Speaker 1>thirty million Twitter followers, and so the sort of publicity

0:26:09.320 --> 0:26:13.240
<v Speaker 1>that Musk is able to garnish himself far outweighs whatever

0:26:13.280 --> 0:26:15.480
<v Speaker 1>tesla Q is able to do. I mean, it's a

0:26:15.480 --> 0:26:18.800
<v Speaker 1>little bit like a bunch of David's taking on Goliath.

0:26:19.080 --> 0:26:20.480
<v Speaker 1>I have to say, like you, I'm also one of

0:26:20.520 --> 0:26:22.840
<v Speaker 1>the followers, one of those thirty million. Hey Dana, what's

0:26:22.840 --> 0:26:25.399
<v Speaker 1>interesting is I feel like, as you write out right

0:26:25.520 --> 0:26:27.400
<v Speaker 1>your story, I mean, Elon Musk is kind of having

0:26:27.400 --> 0:26:30.800
<v Speaker 1>the last laugh here, right, because the stock has just

0:26:31.000 --> 0:26:34.080
<v Speaker 1>taken off and they've had a series I feel like,

0:26:34.119 --> 0:26:37.760
<v Speaker 1>of recent successes, um that have been the catalyst for

0:26:37.760 --> 0:26:40.680
<v Speaker 1>the stock taking off, and that's really hurt those short sellers.

0:26:41.520 --> 0:26:44.479
<v Speaker 1>Oh yeah, I mean the Tesla stock has doubled doubled

0:26:44.480 --> 0:26:46.399
<v Speaker 1>in the past six months, which has sort of unheard

0:26:46.400 --> 0:26:48.520
<v Speaker 1>of for a for you know, a company, for a company,

0:26:48.520 --> 0:26:50.960
<v Speaker 1>particularly in the auto industry. Um. You know, a lot

0:26:51.000 --> 0:26:53.959
<v Speaker 1>of things that people predicted would go wrong have seemed

0:26:54.000 --> 0:26:56.200
<v Speaker 1>to go right. And you know, Tesla had record deliveries

0:26:56.200 --> 0:26:58.719
<v Speaker 1>in the fourth quarter. This China factory is up and running.

0:26:58.960 --> 0:27:01.359
<v Speaker 1>But with Tesla Q, there's always going to be another event.

0:27:01.480 --> 0:27:04.880
<v Speaker 1>So for example, you know, Tesla reports earnings on January

0:27:04.880 --> 0:27:07.200
<v Speaker 1>twenty nine, everyone is going to be very focused on that,

0:27:07.400 --> 0:27:09.800
<v Speaker 1>and uh, you know, as a journalist, what's sort of

0:27:09.840 --> 0:27:13.280
<v Speaker 1>amazing to me is, you know, the earnings hit and

0:27:13.680 --> 0:27:15.960
<v Speaker 1>just as I'm still reading through it carefully, you see

0:27:16.000 --> 0:27:19.280
<v Speaker 1>instant analysis all over Twitter from all kinds of people

0:27:19.280 --> 0:27:23.040
<v Speaker 1>who are very sharp, and you know, as others have noted,

0:27:23.040 --> 0:27:25.040
<v Speaker 1>i mean Twitter is now kind of a kind of

0:27:25.040 --> 0:27:27.800
<v Speaker 1>an ancillary trading tool, so a lot of traitors who

0:27:27.800 --> 0:27:29.520
<v Speaker 1>are in the stock really do pay attention to the

0:27:29.520 --> 0:27:32.760
<v Speaker 1>conversation on Twitter. I don't think any other company has

0:27:32.840 --> 0:27:35.280
<v Speaker 1>that kind of social media activity when it comes to,

0:27:35.960 --> 0:27:39.119
<v Speaker 1>you know, talking about the company. It's unbelievable too, And

0:27:39.160 --> 0:27:41.600
<v Speaker 1>you do such a great job describing that this character

0:27:41.680 --> 0:27:43.359
<v Speaker 1>and one of the quotes I love as he says,

0:27:43.640 --> 0:27:46.320
<v Speaker 1>people are always like, never bet against Elon, but I'm like,

0:27:46.520 --> 0:27:49.320
<v Speaker 1>always bet against Elon. I mean, it's just an amazing

0:27:49.720 --> 0:27:53.760
<v Speaker 1>sort of moment and a company that is wildly influential

0:27:53.840 --> 0:27:56.240
<v Speaker 1>and as we say, and as you know, better than anyone,

0:27:56.680 --> 0:28:01.080
<v Speaker 1>wildly polarizing as well. Apps Really yeah, I mean I

0:28:01.080 --> 0:28:02.320
<v Speaker 1>think that there's like you know, there's sort of a

0:28:02.359 --> 0:28:05.040
<v Speaker 1>public narrative and a public perception of Musk, and then

0:28:05.040 --> 0:28:07.280
<v Speaker 1>there's sort of a counter narrative that a lot of

0:28:07.280 --> 0:28:11.520
<v Speaker 1>people don't know, but that a pretty dedicated community subscribes to.

0:28:11.680 --> 0:28:13.679
<v Speaker 1>And and these people have done their research. I mean,

0:28:13.680 --> 0:28:15.560
<v Speaker 1>they seem to have an incredible amount of time on

0:28:15.560 --> 0:28:18.800
<v Speaker 1>their hands. But but it is kind of amazing to

0:28:18.840 --> 0:28:21.239
<v Speaker 1>me the lengths to which people will go to kind

0:28:21.280 --> 0:28:25.439
<v Speaker 1>of uncover things, and you know, it's I just I

0:28:25.480 --> 0:28:28.640
<v Speaker 1>think it's just unparalleled in finance. I mean, other companies

0:28:28.680 --> 0:28:31.520
<v Speaker 1>like Amazon and Netflix and Apple are also shorted. But

0:28:31.560 --> 0:28:34.880
<v Speaker 1>there's no community known as Apple Q or Netflix que

0:28:35.520 --> 0:28:37.800
<v Speaker 1>on Twitter that I'm aware of. I mean, if it is,

0:28:37.840 --> 0:28:40.760
<v Speaker 1>it's it's not nearly as significant. And the other thing

0:28:40.800 --> 0:28:43.440
<v Speaker 1>I wanted to mention is, you know it's not just

0:28:43.560 --> 0:28:45.680
<v Speaker 1>on Twitter. Now. You know, one of the one of

0:28:45.680 --> 0:28:48.240
<v Speaker 1>the folks, his name, he goes by the name Tesla Charts.

0:28:48.280 --> 0:28:50.520
<v Speaker 1>He just started a podcast. So now there's like a

0:28:50.520 --> 0:28:53.120
<v Speaker 1>Tesla q podcast that is I think seven or eight

0:28:53.120 --> 0:28:56.760
<v Speaker 1>episodes under its belt. So you know, the content that's generated,

0:28:57.080 --> 0:28:59.400
<v Speaker 1>it's not just a bunch of you know, crazy tweets.

0:28:59.440 --> 0:29:03.240
<v Speaker 1>I mean, it's getting into you know, more more social

0:29:03.240 --> 0:29:06.880
<v Speaker 1>media venues. Does it help and create greater transparency for

0:29:06.920 --> 0:29:08.800
<v Speaker 1>this company? And I do wonder if we're getting somewhere

0:29:08.840 --> 0:29:11.760
<v Speaker 1>with social media being kind of good in terms of

0:29:11.800 --> 0:29:14.640
<v Speaker 1>ferreting at a lot of information about a particular company.

0:29:14.800 --> 0:29:17.760
<v Speaker 1>Advocates or we would say that tesla Q has brought

0:29:17.840 --> 0:29:21.160
<v Speaker 1>due diligence to the investment process and that this kind

0:29:21.160 --> 0:29:25.000
<v Speaker 1>of crowdsourcing work, you know, made it more possible for

0:29:25.040 --> 0:29:28.120
<v Speaker 1>investors to know what's really going on. You know. At

0:29:28.120 --> 0:29:29.680
<v Speaker 1>the same time, you have to remember that I mean

0:29:30.040 --> 0:29:32.480
<v Speaker 1>longs and shorts. I mean they're sort of diametrically opposed

0:29:32.480 --> 0:29:34.600
<v Speaker 1>in terms of what their what their hopeful outcome is.

0:29:34.640 --> 0:29:37.760
<v Speaker 1>So there, you know, there's no pieces, there's no peace

0:29:37.800 --> 0:29:40.760
<v Speaker 1>agreement between the two sides any anytime soon. That's Dana Halla.

0:29:40.840 --> 0:29:43.000
<v Speaker 1>I mean, she covers in much detail the comings and

0:29:43.000 --> 0:29:45.840
<v Speaker 1>goings of all things Tesla and Elon Musk. So we love,

0:29:46.000 --> 0:29:48.959
<v Speaker 1>love talking to her and this story, no doubt about it,

0:29:49.040 --> 0:29:52.960
<v Speaker 1>this whole community of short sellers and naysayers when it

0:29:53.000 --> 0:29:55.480
<v Speaker 1>comes to Elon and Tesla, she really covers it, she

0:29:55.560 --> 0:30:00.880
<v Speaker 1>does and really takes us inside the binary nature of

0:30:00.960 --> 0:30:03.760
<v Speaker 1>this stock and this company. There are very few people,

0:30:03.800 --> 0:30:05.360
<v Speaker 1>as you and I have joked about her, like yeah,

0:30:05.640 --> 0:30:09.720
<v Speaker 1>it's okay, yeah exactly. Banks of the credit card issuers, Jason,

0:30:09.760 --> 0:30:12.320
<v Speaker 1>they seem to be setting a trap once again for borrowers.

0:30:12.440 --> 0:30:14.400
<v Speaker 1>This story you and I've been talking about in the newsroom.

0:30:14.480 --> 0:30:19.320
<v Speaker 1>It really is worrisome. Well, it's a reminder of the complicated, volatile,

0:30:19.640 --> 0:30:23.520
<v Speaker 1>some might say, and maybe even at times predatory relationship

0:30:23.760 --> 0:30:27.640
<v Speaker 1>that exists between credit card companies and US as consumers.

0:30:27.640 --> 0:30:29.960
<v Speaker 1>Michelle Davis did a fantastic job in this story. She's

0:30:29.960 --> 0:30:32.640
<v Speaker 1>here with us in New York City, so remind us

0:30:32.680 --> 0:30:37.840
<v Speaker 1>what we're talking about, because, as I said, this relationship

0:30:38.160 --> 0:30:40.520
<v Speaker 1>is a tortured one at times. Right. So we're seeing

0:30:40.600 --> 0:30:43.640
<v Speaker 1>the comeback of this practice that was really popular before

0:30:43.640 --> 0:30:45.640
<v Speaker 1>the financial crisis. It's kind of been in banks, like

0:30:45.960 --> 0:30:47.880
<v Speaker 1>you know, it's been in their their strategy book for

0:30:47.920 --> 0:30:50.560
<v Speaker 1>a really long time. UM. And it's where they boost

0:30:50.640 --> 0:30:53.320
<v Speaker 1>people's credit limits without them asking. It's called a productive

0:30:53.360 --> 0:30:55.520
<v Speaker 1>credit line increase. It's different then if you go to

0:30:55.520 --> 0:30:57.520
<v Speaker 1>the bank and say, hey, I want a credit line increase.

0:30:57.920 --> 0:31:01.280
<v Speaker 1>The strategy behind it is bank of rue analysis. UM.

0:31:01.280 --> 0:31:03.240
<v Speaker 1>The fed as run analyses that show that if I

0:31:03.280 --> 0:31:07.040
<v Speaker 1>boost someone's credit line who already is borrowing money, they

0:31:07.800 --> 0:31:11.080
<v Speaker 1>of the time are going to borrow that much more money.

0:31:11.680 --> 0:31:14.320
<v Speaker 1>So after the crisis, the Card Act was enacted and

0:31:14.480 --> 0:31:16.960
<v Speaker 1>the regulators were like, you can't do this anymore, Like

0:31:17.000 --> 0:31:20.280
<v Speaker 1>we're gonna have more stringent guidelines. We're gonna you're gonna

0:31:20.320 --> 0:31:23.240
<v Speaker 1>have to have um income from the last twelve months

0:31:23.240 --> 0:31:25.640
<v Speaker 1>for the consumers. You aren't going to be able to

0:31:26.040 --> 0:31:28.040
<v Speaker 1>just do some of the predatory things they were doing

0:31:28.120 --> 0:31:30.880
<v Speaker 1>to do pc L Eyes. Why is it that there

0:31:30.960 --> 0:31:32.640
<v Speaker 1>was so much pushback, because I do wonder, like I

0:31:32.680 --> 0:31:34.440
<v Speaker 1>was thinking a lot about this story. Is it you know,

0:31:34.480 --> 0:31:36.840
<v Speaker 1>when they app the credit of somebody, is it because

0:31:36.960 --> 0:31:39.680
<v Speaker 1>they're great customers and they pay it back and they're

0:31:39.720 --> 0:31:43.480
<v Speaker 1>responsible or not necessarily not necessarily? So what I found

0:31:43.560 --> 0:31:45.480
<v Speaker 1>was interesting when I was reporting out this story is

0:31:45.520 --> 0:31:47.840
<v Speaker 1>that what sources were telling me is that the ideal

0:31:47.880 --> 0:31:50.200
<v Speaker 1>candidate for one of these would not be someone who

0:31:50.520 --> 0:31:52.479
<v Speaker 1>is just you know, paying off their balance every time.

0:31:52.520 --> 0:31:54.960
<v Speaker 1>It would actually be someone who has a balance, someone

0:31:55.000 --> 0:31:57.720
<v Speaker 1>who is near their um, you know, near the math

0:31:57.840 --> 0:31:59.920
<v Speaker 1>on their card. I was told, if you don't care

0:32:00.000 --> 0:32:02.280
<v Speaker 1>ballence like, you would probably not get one of these.

0:32:02.320 --> 0:32:04.760
<v Speaker 1>And it's because the whole goal is to you know,

0:32:04.920 --> 0:32:10.520
<v Speaker 1>kind of boost revenue more right, because it's worth reminding

0:32:10.560 --> 0:32:12.720
<v Speaker 1>people and I sort of had to remind myself as

0:32:12.760 --> 0:32:15.160
<v Speaker 1>I was reading this. They're essentially just two basic ways

0:32:15.160 --> 0:32:19.080
<v Speaker 1>that credit card companies make money on transaction fees and

0:32:19.120 --> 0:32:22.239
<v Speaker 1>then on interest. It's not that complicated at the end

0:32:22.240 --> 0:32:24.960
<v Speaker 1>of the day, right and so and then and even

0:32:25.000 --> 0:32:28.160
<v Speaker 1>I can understand this from a math perspective. Interest on

0:32:28.440 --> 0:32:33.080
<v Speaker 1>a bigger part is more money and ultimately more revenue exactly.

0:32:33.240 --> 0:32:35.600
<v Speaker 1>So it's kind of it's a psychology game that banks

0:32:35.600 --> 0:32:38.440
<v Speaker 1>are playing. Like some banks use this as a way

0:32:38.080 --> 0:32:41.360
<v Speaker 1>to get your spending happening on their cards. So if

0:32:41.400 --> 0:32:43.640
<v Speaker 1>I'm at Capital One and I see that you're spending

0:32:43.640 --> 0:32:45.920
<v Speaker 1>a lot on AMEXES card, I might boost your limit

0:32:45.960 --> 0:32:47.880
<v Speaker 1>because I want to kind of flatter you and get

0:32:47.920 --> 0:32:50.120
<v Speaker 1>you to spend more on that card. But something else

0:32:50.160 --> 0:32:52.640
<v Speaker 1>that Capital One is doing that our sources told us

0:32:52.760 --> 0:32:54.640
<v Speaker 1>is that actually they had run all this all this

0:32:54.880 --> 0:32:57.760
<v Speaker 1>data and analysis of like past payment behavior, and they

0:32:57.800 --> 0:33:00.720
<v Speaker 1>saw that always after they boosted some one's credit limit,

0:33:00.760 --> 0:33:03.680
<v Speaker 1>if their utilization was that it would stay at thirty.

0:33:04.160 --> 0:33:05.640
<v Speaker 1>So this was a way for a Capital One to

0:33:05.760 --> 0:33:10.000
<v Speaker 1>really show revenue growth pretty quickly if they needed to.

0:33:10.080 --> 0:33:11.840
<v Speaker 1>They knew this was kind of a lever that could

0:33:11.840 --> 0:33:15.760
<v Speaker 1>be pulled to you because again it's of a bigger

0:33:16.000 --> 0:33:19.200
<v Speaker 1>exact of money and ultimately that's right, and you write

0:33:19.200 --> 0:33:21.040
<v Speaker 1>in this story and keep me honest here at Michelle.

0:33:21.040 --> 0:33:24.160
<v Speaker 1>The Capital One actually resisted doing this for for a time, right,

0:33:24.240 --> 0:33:26.400
<v Speaker 1>The CEO was like, I'm not sure that's a level

0:33:26.440 --> 0:33:29.040
<v Speaker 1>we want to pull. So after the crisis, as I

0:33:29.160 --> 0:33:32.120
<v Speaker 1>said before, you know, the rules in terms of awarding

0:33:32.120 --> 0:33:35.200
<v Speaker 1>the has got a lot harder. Banks got better at

0:33:35.360 --> 0:33:38.640
<v Speaker 1>navigating the rules. You know, technology helped them collect income

0:33:38.680 --> 0:33:41.680
<v Speaker 1>more quickly. When all of this happened. Capital One saw

0:33:41.720 --> 0:33:45.280
<v Speaker 1>a huge revenue opportunity and you know, Richard Fairbank, the CEO, said,

0:33:46.200 --> 0:33:48.840
<v Speaker 1>we might if we do this too aggressively, like we

0:33:48.920 --> 0:33:51.800
<v Speaker 1>might set up customers to become perpetual borrowers. We don't

0:33:51.800 --> 0:33:53.640
<v Speaker 1>want to do that. So they put up these kind

0:33:53.680 --> 0:33:55.840
<v Speaker 1>of guard rails to make sure that they weren't going

0:33:55.880 --> 0:33:58.680
<v Speaker 1>to set up people to be perpetual borrowers. Three years later,

0:33:59.080 --> 0:34:02.520
<v Speaker 1>um know, as the stock was falling, they ran into

0:34:02.920 --> 0:34:06.440
<v Speaker 1>some problems. Uh, they remembered that this was a lever

0:34:06.560 --> 0:34:09.920
<v Speaker 1>that they could pull, and they loosened the guard rails

0:34:09.920 --> 0:34:13.200
<v Speaker 1>a little bit. This isn't about they don't want their customers,

0:34:13.360 --> 0:34:16.600
<v Speaker 1>those the card issuers. They don't want their customers to

0:34:16.640 --> 0:34:19.800
<v Speaker 1>default They just want them to carry higher and higher

0:34:19.880 --> 0:34:23.120
<v Speaker 1>balances that they can somewhat manage. But because they're getting

0:34:23.160 --> 0:34:25.080
<v Speaker 1>higher fees, are getting higher interest off it. That's what

0:34:25.080 --> 0:34:27.400
<v Speaker 1>it's all about. Yeah, it's really walking a fine line,

0:34:27.480 --> 0:34:29.600
<v Speaker 1>you know. You you want them to be borrowing, but

0:34:29.680 --> 0:34:33.080
<v Speaker 1>you don't want them to default. But that fine line

0:34:33.080 --> 0:34:35.680
<v Speaker 1>is what's interesting. And I think people are spending more

0:34:35.680 --> 0:34:37.359
<v Speaker 1>and more time talking about the risk of this. I

0:34:37.400 --> 0:34:40.000
<v Speaker 1>was like blown away by some of the stats. You know,

0:34:40.360 --> 0:34:42.719
<v Speaker 1>you talk about younger borrowers being hurt the most. The

0:34:42.800 --> 0:34:46.680
<v Speaker 1>number of card holders at least ninety days behind on

0:34:46.760 --> 0:34:50.359
<v Speaker 1>payments has reached the highest levels in a decade. So

0:34:50.400 --> 0:34:53.640
<v Speaker 1>the concern is, especially in an economic downturn, like what

0:34:53.800 --> 0:34:56.479
<v Speaker 1>happens to these balances, what happens to these default rates?

0:34:56.560 --> 0:34:58.919
<v Speaker 1>And that impacts the banks halt. Yeah, and because right now,

0:34:58.960 --> 0:35:01.120
<v Speaker 1>like we're already seeing these cracks in the market, and

0:35:01.400 --> 0:35:04.279
<v Speaker 1>we have the lowest jobless rate in god knows how long.

0:35:04.320 --> 0:35:06.320
<v Speaker 1>You know, the stock market is at all time highs.

0:35:06.440 --> 0:35:09.799
<v Speaker 1>Everything's great, So why are their cracks already in the

0:35:09.880 --> 0:35:12.480
<v Speaker 1>credit card market? Um? You know, one of the credit

0:35:12.640 --> 0:35:16.160
<v Speaker 1>agencies put out reports saying that this year um delinquencies

0:35:16.239 --> 0:35:18.440
<v Speaker 1>for everyone are going to probably reach the highest and

0:35:18.480 --> 0:35:21.120
<v Speaker 1>ten years and credit cards as they fall from mortgages,

0:35:21.200 --> 0:35:24.240
<v Speaker 1>auto other types of consumer loans. So it is something

0:35:24.640 --> 0:35:28.320
<v Speaker 1>you know to be thinking about right now. Consumer credit

0:35:28.360 --> 0:35:30.279
<v Speaker 1>card debt is actually growing at a faster rate than

0:35:30.320 --> 0:35:33.960
<v Speaker 1>student loans mortgage loans. And that's Michelle Davis bringing us

0:35:34.000 --> 0:35:36.759
<v Speaker 1>a really important story. This is an area of the

0:35:36.760 --> 0:35:40.200
<v Speaker 1>consumer credit market that probably was forgotten about a little

0:35:40.200 --> 0:35:43.640
<v Speaker 1>bit in the post financial crisis or in the recovery

0:35:43.680 --> 0:35:46.720
<v Speaker 1>from the financial crisis, but that behavior by the credit

0:35:46.760 --> 0:35:49.080
<v Speaker 1>card companies something to watch. I have to say, the

0:35:49.120 --> 0:35:51.520
<v Speaker 1>statistics in that story alone about the folks that are

0:35:51.520 --> 0:35:53.960
<v Speaker 1>passed due on their credit card balances and the number

0:35:54.000 --> 0:35:56.640
<v Speaker 1>of young borrowers who seem to be maybe potentially running

0:35:56.680 --> 0:36:00.880
<v Speaker 1>into trouble really a worrisome thought. The Lab with Gwyneth

0:36:00.880 --> 0:36:03.960
<v Speaker 1>Paltrow made its debut on Netflix this week. Every episode,

0:36:03.960 --> 0:36:07.280
<v Speaker 1>though Jason begins with a warning, well and fair warning.

0:36:07.360 --> 0:36:10.120
<v Speaker 1>It feels like and this is a type of warning

0:36:10.160 --> 0:36:13.240
<v Speaker 1>and a type of ethos it seems that's followed Gwyneth

0:36:13.239 --> 0:36:17.400
<v Speaker 1>Paltrow ever since the beginning of Goop. Polly Mosins is

0:36:17.440 --> 0:36:19.880
<v Speaker 1>here with us. She watched it, she's got to take

0:36:20.680 --> 0:36:23.719
<v Speaker 1>what do you think? Um, well, I can say I

0:36:23.800 --> 0:36:27.600
<v Speaker 1>was exhausted just watching it because I don't think I

0:36:27.640 --> 0:36:29.719
<v Speaker 1>can be trained to be a psychic medium. I'm not

0:36:29.800 --> 0:36:35.160
<v Speaker 1>super into fasting energy healing isn't my jam back For

0:36:35.200 --> 0:36:37.200
<v Speaker 1>those who have been maybe living under a rock and

0:36:37.239 --> 0:36:38.960
<v Speaker 1>don't know what Goop is all about, tell us what

0:36:39.000 --> 0:36:40.960
<v Speaker 1>the premise of the series is all about. So it's

0:36:40.960 --> 0:36:44.920
<v Speaker 1>Gwyneth Paltrow's brand, and they've always been into alternative medicines

0:36:44.960 --> 0:36:48.600
<v Speaker 1>and alternative healings. They've been in trouble before with the law.

0:36:48.719 --> 0:36:50.399
<v Speaker 1>It's been him for a few years now. Oh yeah,

0:36:50.480 --> 0:36:52.200
<v Speaker 1>it's been around for a little while, and it's kind

0:36:52.239 --> 0:36:55.160
<v Speaker 1>of caused a controversy. Every little while, they'll have something

0:36:55.200 --> 0:36:57.640
<v Speaker 1>pop up and everyone's like, what on earth is that?

0:36:58.120 --> 0:37:00.719
<v Speaker 1>So that was the jade egg issue, you where they

0:37:00.800 --> 0:37:03.200
<v Speaker 1>said that that was good for a woman's vaginal health.

0:37:03.239 --> 0:37:05.080
<v Speaker 1>And then we're later fine, I'm just gonna say, if

0:37:05.080 --> 0:37:07.560
<v Speaker 1>you don't know what it's about, just google it. Yeah,

0:37:07.680 --> 0:37:10.080
<v Speaker 1>and we won't go to all the details. Um, And

0:37:10.120 --> 0:37:12.319
<v Speaker 1>that was sort of the big conspiracy for a little bit.

0:37:12.480 --> 0:37:16.560
<v Speaker 1>And then this show is basically every episode it takes

0:37:16.680 --> 0:37:20.720
<v Speaker 1>one alternative healing method and basically puts it to the test,

0:37:21.040 --> 0:37:23.960
<v Speaker 1>and the people who are testing it are called Goopers

0:37:24.000 --> 0:37:28.040
<v Speaker 1>sometimes also Goopies, mostly Cooper's and the is Gwyneth Paltrow's

0:37:28.040 --> 0:37:32.080
<v Speaker 1>staff at group and so take us inside the sort

0:37:32.120 --> 0:37:35.040
<v Speaker 1>of whole group mindset because it's really important. I mean,

0:37:35.280 --> 0:37:38.360
<v Speaker 1>it seems to be a reflection of what Gwyneth Paltrow

0:37:38.440 --> 0:37:40.840
<v Speaker 1>really thinks life should be about, in products that she

0:37:40.920 --> 0:37:42.560
<v Speaker 1>likes and the way she wants to live her life.

0:37:42.560 --> 0:37:44.279
<v Speaker 1>I mean, one of the things that strikes me is

0:37:44.280 --> 0:37:46.680
<v Speaker 1>there's a photo that accompanies the story that has the

0:37:46.680 --> 0:37:50.239
<v Speaker 1>Goop war room, and it looks like exactly what you

0:37:50.239 --> 0:37:53.319
<v Speaker 1>would think a Goop war room would be. No war Uh,

0:37:53.440 --> 0:37:55.600
<v Speaker 1>it's barely a room in this sense. It's just this

0:37:55.760 --> 0:38:00.640
<v Speaker 1>sort of spacious, very sunny, sunlit, yeah, exactly, pain couches

0:38:00.719 --> 0:38:04.600
<v Speaker 1>and um, a lot of presumably like affluent white people

0:38:04.600 --> 0:38:07.000
<v Speaker 1>sitting around and like solving problems that no one really

0:38:07.080 --> 0:38:09.400
<v Speaker 1>knew they had. Yes, I think the trailer puts it

0:38:09.480 --> 0:38:12.400
<v Speaker 1>best when they say that they're there to test ideas

0:38:12.400 --> 0:38:15.520
<v Speaker 1>that are maybe too scary or too out there, and

0:38:15.560 --> 0:38:17.600
<v Speaker 1>they're going to test them to see if they're therapeutic,

0:38:17.640 --> 0:38:19.759
<v Speaker 1>if they're healing in any way, if they can help

0:38:19.800 --> 0:38:22.480
<v Speaker 1>their staff. Be it something that they should, you know,

0:38:22.560 --> 0:38:26.000
<v Speaker 1>would usually seek therapy for, or a medicine that they're taking,

0:38:26.040 --> 0:38:28.480
<v Speaker 1>this might be an alternative to it. So that's what

0:38:28.600 --> 0:38:32.120
<v Speaker 1>every single episode aims for, is to test that theory.

0:38:32.560 --> 0:38:35.720
<v Speaker 1>And in some cases the ideas are not too crazy,

0:38:35.880 --> 0:38:38.600
<v Speaker 1>like eating right and exercising are the keys to a

0:38:38.640 --> 0:38:42.400
<v Speaker 1>long life, yes, we all agree. And then in other cases,

0:38:42.680 --> 0:38:46.439
<v Speaker 1>it's a breathing technique that allows you to withstand very

0:38:46.600 --> 0:38:49.880
<v Speaker 1>very cold weather, taught by a man who has a

0:38:49.880 --> 0:38:52.799
<v Speaker 1>bunch of World Guinness records in that space of being

0:38:52.800 --> 0:38:55.920
<v Speaker 1>able to you know, be outside and crazy crazy temperatures

0:38:56.000 --> 0:39:00.320
<v Speaker 1>or swimming crazy temperatures. And the Gooper's test this breathing

0:39:00.360 --> 0:39:03.319
<v Speaker 1>technique to see if it works. They cry. There's always cry.

0:39:03.400 --> 0:39:07.040
<v Speaker 1>Every episode. Someone christ and they you know, are doing

0:39:07.080 --> 0:39:09.080
<v Speaker 1>this kind of arm gesture, which is just amazing to

0:39:09.080 --> 0:39:12.120
<v Speaker 1>watch from a comedic perspective. But at the end of

0:39:12.160 --> 0:39:14.759
<v Speaker 1>the episode, one of the main goopers actually says that

0:39:14.800 --> 0:39:17.440
<v Speaker 1>her anxiety is more under control and she is working

0:39:17.440 --> 0:39:20.520
<v Speaker 1>with a doctor to wean off of her medicine well,

0:39:20.560 --> 0:39:24.120
<v Speaker 1>and you actually have an alternative motto which I love

0:39:24.239 --> 0:39:27.479
<v Speaker 1>quoting uh someone in the show, just because something isn't

0:39:27.480 --> 0:39:30.640
<v Speaker 1>proven doesn't mean it doesn't work, and that seems it

0:39:30.680 --> 0:39:33.960
<v Speaker 1>really is that that says it all. Absolutely. I think

0:39:33.960 --> 0:39:36.440
<v Speaker 1>that definitely says it all. And you know, maybe it

0:39:36.520 --> 0:39:39.200
<v Speaker 1>doesn't work, and it could work one day. But I

0:39:39.239 --> 0:39:41.759
<v Speaker 1>think any time that something is presented, especially on a

0:39:41.760 --> 0:39:45.160
<v Speaker 1>platform like Netflix, as maybe this will work, you have

0:39:45.320 --> 0:39:47.239
<v Speaker 1>to look at the potential risks of that. You have

0:39:47.360 --> 0:39:49.480
<v Speaker 1>to wonder if there are viewers that are going to

0:39:49.560 --> 0:39:52.120
<v Speaker 1>see this technique and opt for that rather than a

0:39:52.200 --> 0:39:55.759
<v Speaker 1>more proven, traditional scientific method. It comes at a very

0:39:55.760 --> 0:39:58.080
<v Speaker 1>interesting time, Jason. How many times in our show we're

0:39:58.080 --> 0:40:01.200
<v Speaker 1>talking with individuals who in the illness space and or

0:40:01.239 --> 0:40:04.800
<v Speaker 1>the medical space, which is increasingly embracing the wellness space.

0:40:05.200 --> 0:40:07.840
<v Speaker 1>And I do wonder about some of the information that

0:40:07.920 --> 0:40:10.800
<v Speaker 1>might come out that, you know, as we explore alternatives,

0:40:10.840 --> 0:40:14.920
<v Speaker 1>whether it's acupunctural alternative medicine that's lowly kind of the

0:40:14.920 --> 0:40:17.840
<v Speaker 1>traditional world is embracing, like to be kind of careful

0:40:17.880 --> 0:40:20.560
<v Speaker 1>about how this is presented, right because there isn't necessarily

0:40:20.560 --> 0:40:23.200
<v Speaker 1>a lot of science or R and D or medicine

0:40:23.320 --> 0:40:25.920
<v Speaker 1>behind this writer or research that has shown that these

0:40:25.920 --> 0:40:28.319
<v Speaker 1>theories are correct exactly. When you're looking at things that

0:40:28.360 --> 0:40:31.000
<v Speaker 1>are too out there, as they say, then you run

0:40:31.040 --> 0:40:33.279
<v Speaker 1>that risk. And I think we really have to look

0:40:33.280 --> 0:40:35.680
<v Speaker 1>at it from the viewer's perspective. Are people going to

0:40:35.719 --> 0:40:38.000
<v Speaker 1>be swayed by sort of the power and the celebrity

0:40:38.000 --> 0:40:40.279
<v Speaker 1>of Gwyneth Paltrow? And I think that's the ultimate question

0:40:40.360 --> 0:40:42.960
<v Speaker 1>about the show. Well, and it's a really good point

0:40:43.000 --> 0:40:44.919
<v Speaker 1>to this notion that we do talk a lot about

0:40:45.120 --> 0:40:47.239
<v Speaker 1>and and people want to believe right, they want to

0:40:47.280 --> 0:40:50.799
<v Speaker 1>believe they are increasingly skeptical. I think we all are

0:40:50.880 --> 0:40:54.600
<v Speaker 1>to some about big pharma, about sort of being over

0:40:54.680 --> 0:40:57.800
<v Speaker 1>medicated and hoping, you know, we think about a plant

0:40:57.840 --> 0:41:00.239
<v Speaker 1>based diet that like, there will be these things that

0:41:00.320 --> 0:41:02.839
<v Speaker 1>we can do that will ultimately make us feel better

0:41:02.880 --> 0:41:06.360
<v Speaker 1>and maybe less polluted as as people. Yeah, And I

0:41:06.400 --> 0:41:08.440
<v Speaker 1>think that gets to sort of one of the episodes

0:41:08.440 --> 0:41:10.520
<v Speaker 1>that I think was actually the best, where they try

0:41:10.840 --> 0:41:13.960
<v Speaker 1>pescyterian diet, they try a vegan diet, they try fasting,

0:41:14.480 --> 0:41:16.600
<v Speaker 1>and the analysis they come to is that eating right

0:41:16.640 --> 0:41:18.759
<v Speaker 1>and exercise is what is good for you. And in

0:41:18.800 --> 0:41:22.480
<v Speaker 1>that episode they try. My parents told me that years ago.

0:41:22.600 --> 0:41:24.239
<v Speaker 1>So I think there are moments where you have to

0:41:24.239 --> 0:41:25.640
<v Speaker 1>look at the show and go, you know what, this

0:41:25.719 --> 0:41:29.680
<v Speaker 1>is a valid, normal, rational point about wellness. I think

0:41:29.719 --> 0:41:31.879
<v Speaker 1>where I kind of have to scrunch up my nose

0:41:31.920 --> 0:41:34.080
<v Speaker 1>and look sideways at it is when you're looking at

0:41:34.520 --> 0:41:37.839
<v Speaker 1>you know, energy healing and psychic mediums, things that are

0:41:37.880 --> 0:41:39.960
<v Speaker 1>just a little bit too out there, at least for

0:41:40.120 --> 0:41:43.239
<v Speaker 1>my sensibilities. But I'm sure someone views as foul. Are

0:41:43.280 --> 0:41:45.560
<v Speaker 1>they very clear like we we I kidded like in

0:41:45.600 --> 0:41:47.440
<v Speaker 1>the introduction that there's a warning at the beginning of

0:41:47.440 --> 0:41:49.400
<v Speaker 1>every show, but you start your story that way. I mean,

0:41:49.520 --> 0:41:52.920
<v Speaker 1>they're very clear about saying, you know, just f y

0:41:52.960 --> 0:41:57.320
<v Speaker 1>I you know, there hasn't been either scientific research that'st

0:41:57.640 --> 0:42:00.160
<v Speaker 1>Are they very clear about saying what we present ent

0:42:00.719 --> 0:42:02.239
<v Speaker 1>you know, take it or leave it kind of thing.

0:42:02.280 --> 0:42:04.840
<v Speaker 1>There's quite literally a warning at the beginning, so I

0:42:04.880 --> 0:42:08.359
<v Speaker 1>think that they're very transparent about that. I personally wish

0:42:08.400 --> 0:42:10.680
<v Speaker 1>that there were a warning like every five to seven minutes,

0:42:10.760 --> 0:42:12.799
<v Speaker 1>but I have to give them credit for giving that

0:42:12.880 --> 0:42:15.600
<v Speaker 1>warning up front. And I do think that one of

0:42:15.640 --> 0:42:17.840
<v Speaker 1>the good things about the show is that it is important,

0:42:17.840 --> 0:42:20.800
<v Speaker 1>as you said, to question big pharma and to question

0:42:20.880 --> 0:42:23.600
<v Speaker 1>these things that we are you know, maybe not so, Sharon,

0:42:23.680 --> 0:42:26.279
<v Speaker 1>but I think when it comes to questioning medicine that

0:42:26.360 --> 0:42:29.880
<v Speaker 1>is scientific and that has proven, that's where I start

0:42:29.920 --> 0:42:33.120
<v Speaker 1>to worry, well, because that's what's let us down this

0:42:33.239 --> 0:42:37.040
<v Speaker 1>path where people aren't vaccinating. Their comments exacsolutely, and I

0:42:37.040 --> 0:42:39.840
<v Speaker 1>will say Group has made it very clear their pro vaccination,

0:42:40.239 --> 0:42:42.520
<v Speaker 1>and they've written that on their website extensively, so I

0:42:42.560 --> 0:42:45.080
<v Speaker 1>think where credit is due, I'll give that to them.

0:42:45.120 --> 0:42:47.399
<v Speaker 1>I think that that's very important to have that kind

0:42:47.400 --> 0:42:49.200
<v Speaker 1>of warning, even on a site like that. One last

0:42:49.239 --> 0:42:51.000
<v Speaker 1>question the Group brand Man, it just seems like it's

0:42:51.000 --> 0:42:54.680
<v Speaker 1>getting bigger and bigger evaluation on this. I believe the

0:42:54.760 --> 0:42:57.120
<v Speaker 1>last evaluation I saw was a quarterbillion dollars, which is

0:42:57.120 --> 0:43:01.799
<v Speaker 1>obviously very impressive, and I think it's getting bigger culturally

0:43:01.960 --> 0:43:04.759
<v Speaker 1>as well as financially. I think that the fact that

0:43:04.760 --> 0:43:07.760
<v Speaker 1>there are these retail stores now there's one in sag Harbor,

0:43:07.800 --> 0:43:11.560
<v Speaker 1>in the Hampton's, there's in New York, in Santa Monica, California. Online,

0:43:11.600 --> 0:43:13.919
<v Speaker 1>there's a huge presence for them. And I even think

0:43:13.920 --> 0:43:16.520
<v Speaker 1>the pushback that they're getting is ultimately part of the

0:43:16.600 --> 0:43:19.560
<v Speaker 1>brand because it keeps us all talking about the website,

0:43:19.719 --> 0:43:22.360
<v Speaker 1>about Gwyned That's Polly Moss ends her story taking a

0:43:22.360 --> 0:43:25.040
<v Speaker 1>look at the new Netflix series The Goop Lab with

0:43:25.120 --> 0:43:28.120
<v Speaker 1>Gwyneth Paltrow, and I gotta say, I just kind of

0:43:28.160 --> 0:43:30.520
<v Speaker 1>want to watch it based on what she had to say,

0:43:30.640 --> 0:43:33.239
<v Speaker 1>I kind of want to watch it with Polly. As

0:43:33.280 --> 0:43:35.120
<v Speaker 1>she said that warning which comes at the top of

0:43:35.160 --> 0:43:37.520
<v Speaker 1>every episode, it kind of maybe should have been flashed

0:43:37.520 --> 0:43:40.000
<v Speaker 1>maybe several times throughout the episode, allowed to dig into

0:43:40.000 --> 0:43:42.439
<v Speaker 1>there will be interesting to see what the next turn

0:43:42.520 --> 0:43:46.080
<v Speaker 1>that story takes will be. Is she investing taking into

0:43:46.080 --> 0:43:49.040
<v Speaker 1>account environmental, social and governance factor has been making investment

0:43:49.200 --> 0:43:51.520
<v Speaker 1>This form Jason has been around for years, no doubt

0:43:51.560 --> 0:43:55.080
<v Speaker 1>about it. It absolutely has and yet and yet, and yet,

0:43:55.160 --> 0:43:57.000
<v Speaker 1>I feel like this is the end yet episode of

0:43:57.000 --> 0:44:00.200
<v Speaker 1>Bloomberg Business Week. But you know what we're talking at

0:44:00.480 --> 0:44:03.920
<v Speaker 1>is this notion that it hasn't totally caught on or

0:44:03.960 --> 0:44:06.440
<v Speaker 1>maybe it is now. But what I love about this

0:44:06.480 --> 0:44:10.320
<v Speaker 1>story is it's very Bloomberg. Take all of this once

0:44:10.640 --> 0:44:12.960
<v Speaker 1>at the table. Emily Chason is here with us. Nice

0:44:12.960 --> 0:44:14.560
<v Speaker 1>to see you. Nice to see you. All right, So

0:44:14.600 --> 0:44:17.279
<v Speaker 1>tell us about this piece, because as we alluded to,

0:44:17.920 --> 0:44:20.560
<v Speaker 1>and you have said yourself, this is sort of Bloomberg

0:44:20.960 --> 0:44:24.279
<v Speaker 1>taking on E s G in many ways. Yeah, Well,

0:44:24.360 --> 0:44:25.960
<v Speaker 1>so E s G has been out there for a while.

0:44:26.000 --> 0:44:28.560
<v Speaker 1>There's about thirty trillion in assets in the space now,

0:44:28.600 --> 0:44:30.960
<v Speaker 1>so it's grown a lot um, but a lot of

0:44:31.000 --> 0:44:33.000
<v Speaker 1>those assets are sort of like negative screening, where they

0:44:33.000 --> 0:44:38.600
<v Speaker 1>just take out companies they don't like kind of um, alcohol, tobacco, porn,

0:44:39.239 --> 0:44:41.799
<v Speaker 1>anything like that, they'll take out UM. And that's most

0:44:41.800 --> 0:44:43.440
<v Speaker 1>of the assets in the E s G space. And

0:44:43.440 --> 0:44:46.040
<v Speaker 1>then there's been this E s G integration to get

0:44:46.200 --> 0:44:48.920
<v Speaker 1>sort of risks into your portfolio. So the environmental risk,

0:44:48.920 --> 0:44:51.839
<v Speaker 1>which everybody is talking about right now, social risk, UM,

0:44:52.080 --> 0:44:54.480
<v Speaker 1>customer risks, all of that to get into your portfolio.

0:44:54.719 --> 0:44:56.319
<v Speaker 1>And this is sort of the next evolution of that

0:44:56.360 --> 0:44:59.319
<v Speaker 1>because that really relies on data and UM, the data

0:44:59.400 --> 0:45:00.800
<v Speaker 1>is not very clear. It's kind of a mess in

0:45:00.840 --> 0:45:03.960
<v Speaker 1>E s G. It's not regulated um a lot. And

0:45:04.000 --> 0:45:05.360
<v Speaker 1>this I just have to say, because I feel like

0:45:05.400 --> 0:45:07.120
<v Speaker 1>Jason and I've had a lot of conversations about h

0:45:07.160 --> 0:45:09.040
<v Speaker 1>G and I'm sure you have too. That it's not

0:45:09.160 --> 0:45:12.160
<v Speaker 1>like you can compare one fund to another. Everybody's using

0:45:12.160 --> 0:45:15.480
<v Speaker 1>different metrics to kind of screen for those eh G factors.

0:45:15.600 --> 0:45:17.320
<v Speaker 1>And I mean every company that produces e s G

0:45:17.440 --> 0:45:20.879
<v Speaker 1>data is often using different metrics as well or their data, yeah,

0:45:20.960 --> 0:45:22.920
<v Speaker 1>or sometimes they don't produce it at all. So the

0:45:23.040 --> 0:45:25.319
<v Speaker 1>story is about quants and how quants are betting. You know,

0:45:25.360 --> 0:45:28.080
<v Speaker 1>we're good with bad data, We're good with problems um

0:45:28.200 --> 0:45:31.000
<v Speaker 1>in data, and we can use this to our advantage

0:45:31.000 --> 0:45:33.600
<v Speaker 1>and build sort of models that incorporate all the data

0:45:33.920 --> 0:45:36.400
<v Speaker 1>and let us trade better. So tell us about some

0:45:36.400 --> 0:45:38.080
<v Speaker 1>of the quants, because you're talking about some well known

0:45:38.120 --> 0:45:41.320
<v Speaker 1>folks here. One of them is our Besque Acid Management.

0:45:41.400 --> 0:45:43.800
<v Speaker 1>It is a firm that's based in London and Frankfurt

0:45:44.040 --> 0:45:47.200
<v Speaker 1>and they are building a huge artificial intelligence model that

0:45:47.239 --> 0:45:50.600
<v Speaker 1>works to see how to incorporate e s G factors

0:45:50.640 --> 0:45:52.920
<v Speaker 1>so that they think they can tilt their portfolio and

0:45:52.920 --> 0:45:55.239
<v Speaker 1>get a better return. But is a huge model. They

0:45:55.320 --> 0:46:00.360
<v Speaker 1>run it across six thousand computers, so leven different data centers.

0:46:00.400 --> 0:46:02.120
<v Speaker 1>That you conclude that in your story, that kind of

0:46:02.120 --> 0:46:03.799
<v Speaker 1>blew my mind. It just gave us an idea in

0:46:03.880 --> 0:46:06.120
<v Speaker 1>terms of the scale of information in data that they

0:46:06.160 --> 0:46:08.120
<v Speaker 1>have to play. This is a lot of unstructured data.

0:46:08.160 --> 0:46:10.680
<v Speaker 1>It's data you know, from governments, it's data from m

0:46:10.719 --> 0:46:13.400
<v Speaker 1>G o s, It's data from all sorts of groups

0:46:13.560 --> 0:46:15.480
<v Speaker 1>UM that are producing this e s G data. It's

0:46:15.520 --> 0:46:18.560
<v Speaker 1>not just the companies UM and trying to part it

0:46:18.600 --> 0:46:20.680
<v Speaker 1>all together and make estimates about it as really a

0:46:20.880 --> 0:46:23.960
<v Speaker 1>gargantuan task. And what's interesting about that too, is right

0:46:24.000 --> 0:46:25.520
<v Speaker 1>they're finding as a results of some of the e

0:46:25.640 --> 0:46:26.960
<v Speaker 1>s G work they're doing, right, I think that they

0:46:27.000 --> 0:46:29.560
<v Speaker 1>can use it were generally right and just investment applications

0:46:29.560 --> 0:46:31.520
<v Speaker 1>at their firm. Yeah, a lot of the quants that

0:46:31.560 --> 0:46:33.800
<v Speaker 1>are betting on this, they're not just betting on finding

0:46:33.800 --> 0:46:36.480
<v Speaker 1>good companies are bad companies. What they're betting on is

0:46:36.520 --> 0:46:39.440
<v Speaker 1>that E s G information will produce better information for trades,

0:46:39.480 --> 0:46:42.560
<v Speaker 1>and that incorporating more information is better than not well,

0:46:42.600 --> 0:46:45.040
<v Speaker 1>and talk about that element of this, because this is

0:46:45.080 --> 0:46:46.560
<v Speaker 1>something you've done a lot of work. You and the

0:46:46.560 --> 0:46:48.359
<v Speaker 1>team have done a lot of work on Emily, which

0:46:48.400 --> 0:46:51.680
<v Speaker 1>is this notion of not treating e s G as

0:46:51.760 --> 0:46:55.480
<v Speaker 1>something other, as something separate, but actually integrating it into

0:46:56.000 --> 0:46:59.880
<v Speaker 1>a broader portfolio approach. How far along are we in

0:47:00.000 --> 0:47:02.920
<v Speaker 1>out where this becomes more normal courts of business. Well,

0:47:02.960 --> 0:47:04.560
<v Speaker 1>one of the quants we interviewed in the story is

0:47:04.600 --> 0:47:06.719
<v Speaker 1>a Katie and Asset Management UM, one of the really

0:47:06.719 --> 0:47:09.160
<v Speaker 1>big quant firms out there, and they've just sided they're

0:47:09.160 --> 0:47:11.120
<v Speaker 1>going to take E s G and put it into

0:47:11.160 --> 0:47:14.000
<v Speaker 1>their portfolio metrics. So the same way they say, if

0:47:14.040 --> 0:47:15.719
<v Speaker 1>you're a corrupt country, we're going to give you a

0:47:15.719 --> 0:47:18.600
<v Speaker 1>discount for corruption UM if your company is based there,

0:47:18.840 --> 0:47:20.880
<v Speaker 1>they'll do that for carbon pricing. And what they found

0:47:20.880 --> 0:47:23.960
<v Speaker 1>is like really fascinating that carbon pricing UM in places

0:47:23.960 --> 0:47:27.000
<v Speaker 1>where there is an actual carbon tax is affecting stock

0:47:27.040 --> 0:47:29.520
<v Speaker 1>prices in those regions. So in places where there isn't

0:47:29.520 --> 0:47:32.880
<v Speaker 1>a carbon tax, big emitters, they saw we're also getting affected.

0:47:33.360 --> 0:47:34.880
<v Speaker 1>So what they did was they said, let's put in

0:47:34.880 --> 0:47:37.640
<v Speaker 1>an implicit carbon tax into our portfolio, and we're gonna

0:47:37.680 --> 0:47:41.600
<v Speaker 1>go extrapolate based on all forty companies based on their emissions,

0:47:41.800 --> 0:47:43.360
<v Speaker 1>and even if they don't report emissions, we're going to

0:47:43.440 --> 0:47:45.600
<v Speaker 1>estimate what their missions are based on their revenue, based

0:47:45.600 --> 0:47:48.920
<v Speaker 1>on their UM, their size, just to see if we

0:47:48.920 --> 0:47:50.880
<v Speaker 1>get their industry, just to see if we can figure

0:47:50.920 --> 0:47:53.080
<v Speaker 1>it out and sort of use this information instead of

0:47:53.120 --> 0:47:54.920
<v Speaker 1>pretending it doesn't exist. I have to I love this

0:47:55.000 --> 0:47:56.560
<v Speaker 1>quote too in your story. I think this was from

0:47:56.560 --> 0:47:58.040
<v Speaker 1>the CEO of q m A and they are unit

0:47:58.080 --> 0:48:00.399
<v Speaker 1>a prudential financial Right, we all know about that firm.

0:48:00.880 --> 0:48:02.799
<v Speaker 1>Quants are used to filling in the gaps. I mean,

0:48:02.880 --> 0:48:04.680
<v Speaker 1>this is what's kind of crucial. I think this is

0:48:04.719 --> 0:48:06.560
<v Speaker 1>what's been needed in the E s G space, right,

0:48:06.560 --> 0:48:08.960
<v Speaker 1>that there are a lot of gaps, and really, you know,

0:48:09.040 --> 0:48:14.160
<v Speaker 1>defining the metrics that measure E s G each of

0:48:14.160 --> 0:48:17.839
<v Speaker 1>these different ones um categories, do it really well? Yeah?

0:48:17.840 --> 0:48:19.719
<v Speaker 1>And this is also really about the hunt for alpha. Right,

0:48:19.760 --> 0:48:21.719
<v Speaker 1>there's so many E s G metrics. There's so many

0:48:21.760 --> 0:48:24.000
<v Speaker 1>different ways you can see a company of which metrics

0:48:24.040 --> 0:48:26.160
<v Speaker 1>are actually going to influence the market and influence returns.

0:48:26.200 --> 0:48:27.799
<v Speaker 1>And I think the quants are really trying to find

0:48:27.840 --> 0:48:30.160
<v Speaker 1>that out. And so when you think about the quants,

0:48:30.160 --> 0:48:32.640
<v Speaker 1>I mean there is this sense I think historically when

0:48:32.680 --> 0:48:36.120
<v Speaker 1>you think about hedge funds and other money managers, that

0:48:36.239 --> 0:48:38.960
<v Speaker 1>as the quants go sort of so go others. I mean,

0:48:39.400 --> 0:48:40.800
<v Speaker 1>is this sort of the tip of the sphere in

0:48:41.120 --> 0:48:43.520
<v Speaker 1>many ways, because I'm thinking about the news that I

0:48:43.520 --> 0:48:44.839
<v Speaker 1>think we talked to you about a couple of weeks

0:48:44.880 --> 0:48:47.920
<v Speaker 1>ago of Black Rock taking this more into account. Well,

0:48:47.920 --> 0:48:50.279
<v Speaker 1>actually black Rocks also been publishing quant papers on this,

0:48:50.440 --> 0:48:52.560
<v Speaker 1>so they're they're in this too because but the quant

0:48:52.560 --> 0:48:54.480
<v Speaker 1>models have taken longer to develop, So the quants are

0:48:54.480 --> 0:48:58.080
<v Speaker 1>sort of almost the other side, almost a later entrance

0:48:58.200 --> 0:49:00.360
<v Speaker 1>for some ways into it. But they all so you know,

0:49:00.360 --> 0:49:03.839
<v Speaker 1>see this as an opportunity for them. Um, maybe other

0:49:03.840 --> 0:49:06.600
<v Speaker 1>firms don't see. And that's Emily Chason, part of the

0:49:06.640 --> 0:49:10.520
<v Speaker 1>ever growing team here at Bloomberg covering climate and really

0:49:10.520 --> 0:49:13.160
<v Speaker 1>with a very Bloomberg twist, right, Carol, this idea that

0:49:13.200 --> 0:49:16.960
<v Speaker 1>the quants they're onto this and maybe have some solutions,

0:49:16.960 --> 0:49:20.719
<v Speaker 1>but they're certainly identifying some places where there are some gaps. Well,

0:49:20.760 --> 0:49:23.200
<v Speaker 1>we're realizing with e s G. That figuring out those

0:49:23.239 --> 0:49:25.239
<v Speaker 1>factors E s G. Factors, picking those out that are

0:49:25.280 --> 0:49:27.440
<v Speaker 1>better than others, it's not so easy. But the quantzman

0:49:27.480 --> 0:49:29.440
<v Speaker 1>they have a lot of data that certainly can help

0:49:29.480 --> 0:49:32.000
<v Speaker 1>in this process. So it's been a big year for

0:49:32.040 --> 0:49:34.520
<v Speaker 1>Porsche and Jason, no doubt about it. This company reported

0:49:34.560 --> 0:49:37.440
<v Speaker 1>record deliveries for last year and they predicted that its

0:49:37.440 --> 0:49:39.879
<v Speaker 1>first all electric model. We're talking about. The Takon will

0:49:39.880 --> 0:49:44.120
<v Speaker 1>generate further growth in Porsche Cars North America alone, reporting

0:49:44.160 --> 0:49:46.880
<v Speaker 1>record US retail sales last year. We're delighted to have

0:49:46.920 --> 0:49:49.880
<v Speaker 1>Klaus Delmer's CEO of Porsche North America back with us.

0:49:49.920 --> 0:49:53.880
<v Speaker 1>He joins us from Atlanta and a little further south

0:49:54.040 --> 0:49:57.080
<v Speaker 1>from where you are. Klaus, the big game coming up,

0:49:57.120 --> 0:49:59.799
<v Speaker 1>the Super Bowl in just a few weeks, and you

0:50:00.080 --> 0:50:03.319
<v Speaker 1>are going to unveil a huge new ad. Tell us

0:50:03.320 --> 0:50:08.320
<v Speaker 1>about it. Yes, you know, Porsche is looking at Super

0:50:08.360 --> 0:50:12.160
<v Speaker 1>Bowl as a an opportunity to share the Porsche story

0:50:12.239 --> 0:50:14.440
<v Speaker 1>and of course the new arrival of a family member

0:50:14.840 --> 0:50:18.360
<v Speaker 1>right at the big Game, and we're really excited about it.

0:50:18.440 --> 0:50:21.879
<v Speaker 1>Last time we were there was seven, so quite some

0:50:21.920 --> 0:50:24.840
<v Speaker 1>time ago. So we chose, we chose to choose those

0:50:24.880 --> 0:50:28.600
<v Speaker 1>moments carefully well and tell us about kind of why now,

0:50:28.680 --> 0:50:31.840
<v Speaker 1>why this car? I mean, this is a big game obviously.

0:50:31.920 --> 0:50:34.320
<v Speaker 1>Is this about going after kind of a younger audience

0:50:34.360 --> 0:50:38.960
<v Speaker 1>for Porsche generally speaking, it's going after new audiences and

0:50:39.000 --> 0:50:42.600
<v Speaker 1>making new friends out there. Uh. And the Ticon that's

0:50:43.000 --> 0:50:46.640
<v Speaker 1>the entry now for us into the battery electric vehicle era,

0:50:47.120 --> 0:50:50.239
<v Speaker 1>which is momentous for Porsche, and that's why we want

0:50:50.239 --> 0:50:53.920
<v Speaker 1>to share the story about Porsche. We've been making, developing

0:50:53.920 --> 0:50:57.239
<v Speaker 1>and producing selling sports cars for over seventy years now,

0:50:57.760 --> 0:51:00.439
<v Speaker 1>and we want to show a couple of cars through

0:51:00.480 --> 0:51:03.120
<v Speaker 1>those decades in that spot. But we also want to

0:51:03.120 --> 0:51:06.200
<v Speaker 1>show the tychon on the battery electric vehicle. Alright, So

0:51:06.360 --> 0:51:09.480
<v Speaker 1>Claus notably and you mentioned this, there's a little bit

0:51:09.520 --> 0:51:12.920
<v Speaker 1>of a history lesson embedded in this ad, and you

0:51:13.000 --> 0:51:16.200
<v Speaker 1>do show some older cars as well. Tell us about

0:51:16.440 --> 0:51:18.800
<v Speaker 1>you know what you're going for, and I do wonder

0:51:19.360 --> 0:51:22.640
<v Speaker 1>in a field where you know there's some notable upstarts here.

0:51:22.719 --> 0:51:25.080
<v Speaker 1>Maybe you're trying to show a little bit of a

0:51:25.400 --> 0:51:29.839
<v Speaker 1>legacy and history and experience. Well, you know, we think

0:51:29.880 --> 0:51:32.919
<v Speaker 1>every Porsche ever build in over seventy years has got

0:51:32.920 --> 0:51:37.120
<v Speaker 1>a soul and now we talk about soul electrified. So

0:51:37.200 --> 0:51:40.200
<v Speaker 1>you want to see some of those cars that this

0:51:40.320 --> 0:51:43.759
<v Speaker 1>brand stands on. I give you one example. There's a

0:51:43.880 --> 0:51:47.120
<v Speaker 1>racing car in that spot, a nine seventeen K that

0:51:47.280 --> 0:51:50.400
<v Speaker 1>was built purposely for winning the twenty four Hours of

0:51:50.480 --> 0:51:54.239
<v Speaker 1>Lemore nineteen seventy. In nineteen seventy one, it was the

0:51:54.320 --> 0:51:59.680
<v Speaker 1>main feature of Steve McQueen's lement movie. Um and that

0:51:59.719 --> 0:52:03.400
<v Speaker 1>car is part of a highst highest of cars that

0:52:03.960 --> 0:52:07.680
<v Speaker 1>are trying to catch up with a Taikon going through

0:52:07.920 --> 0:52:11.480
<v Speaker 1>a interesting scenery in Germany. So talk to us little

0:52:11.480 --> 0:52:13.400
<v Speaker 1>bit about the Tykon. We were lucky you brought a

0:52:13.400 --> 0:52:15.719
<v Speaker 1>car here to Bloomberg, JA and I got to sit

0:52:16.080 --> 0:52:17.800
<v Speaker 1>in it with our own Hannah Elliott. As you know,

0:52:17.920 --> 0:52:20.879
<v Speaker 1>well now are our car guru here at Bloomberg. Tell

0:52:20.960 --> 0:52:23.360
<v Speaker 1>us how car sales are going. What kind of numbers

0:52:23.360 --> 0:52:29.320
<v Speaker 1>are you seeing? Um across the world? Demographically? Where's it selling? Well,

0:52:29.360 --> 0:52:33.400
<v Speaker 1>generally speaking, we have just started delivering, and the United

0:52:33.480 --> 0:52:36.160
<v Speaker 1>States was actually the first country in the world getting

0:52:36.200 --> 0:52:39.080
<v Speaker 1>those cars on the ground delivered to customers. So we've

0:52:39.080 --> 0:52:42.560
<v Speaker 1>sold a hundred and thirty last year in two thousand nineteen,

0:52:42.880 --> 0:52:46.200
<v Speaker 1>so that's not big numbers. But we're aiming, of course,

0:52:46.360 --> 0:52:49.480
<v Speaker 1>to bring this car to the States in in larger numbers.

0:52:50.080 --> 0:52:53.560
<v Speaker 1>Um uh. And the big swing that we see coming

0:52:53.640 --> 0:52:56.919
<v Speaker 1>up is also connected to seasonality. So spring this year

0:52:56.960 --> 0:52:59.920
<v Speaker 1>you're gonna see quite a few Takons in Port dal

0:53:00.040 --> 0:53:05.120
<v Speaker 1>Ships and hopefully also all the prospects, hand raisers, depositors

0:53:05.280 --> 0:53:08.640
<v Speaker 1>and people who already ordered the car then being enthusiastic

0:53:08.680 --> 0:53:10.759
<v Speaker 1>about that new arrival. You know what's interesting too, And

0:53:10.760 --> 0:53:12.440
<v Speaker 1>I want to go back to the Super Bowl commercial

0:53:12.440 --> 0:53:16.000
<v Speaker 1>because it really does get into the history where Porsche

0:53:16.000 --> 0:53:18.560
<v Speaker 1>has come from where it is today and just kind

0:53:18.560 --> 0:53:21.360
<v Speaker 1>of all the walks in terms of the auto industry

0:53:21.360 --> 0:53:24.279
<v Speaker 1>that you guys have been involved in. Why TV though,

0:53:24.320 --> 0:53:26.520
<v Speaker 1>I think in a world where social media has become

0:53:26.560 --> 0:53:30.000
<v Speaker 1>so important, why is TV such an important medium, if

0:53:30.040 --> 0:53:32.759
<v Speaker 1>you will, in terms of ADVERTI advertising, is it still

0:53:32.800 --> 0:53:37.760
<v Speaker 1>relevant to get new customers? You know? The equation of

0:53:37.800 --> 0:53:41.040
<v Speaker 1>the Big Game actually is about a hundred million people

0:53:41.280 --> 0:53:45.160
<v Speaker 1>on the game day are watching the game. Um and

0:53:45.239 --> 0:53:49.600
<v Speaker 1>there is actually no other marketing or advertising platform in

0:53:49.640 --> 0:53:52.880
<v Speaker 1>the United States with such an impact. So if you

0:53:52.920 --> 0:53:55.640
<v Speaker 1>want to spread some big news about your company, and

0:53:55.680 --> 0:53:58.919
<v Speaker 1>as I said, we don't do that every year, you

0:53:59.080 --> 0:54:01.720
<v Speaker 1>might want to look at that stage too to engage

0:54:01.760 --> 0:54:04.640
<v Speaker 1>people then in what you have to say. And that's

0:54:04.640 --> 0:54:07.160
<v Speaker 1>why Super Bowl, the TV at of course for us,

0:54:07.280 --> 0:54:10.000
<v Speaker 1>is important. But you're right, social media plays a big

0:54:10.120 --> 0:54:12.600
<v Speaker 1>role when you want to create some awareness and get

0:54:12.600 --> 0:54:15.560
<v Speaker 1>your car on people's shopping list. Uh, and social media

0:54:15.640 --> 0:54:19.600
<v Speaker 1>picks up Super Bowl and all the ads you know,

0:54:19.680 --> 0:54:24.200
<v Speaker 1>weeks before the actual game and in the aftermath as well.

0:54:24.320 --> 0:54:28.040
<v Speaker 1>So it's it's a big multiplier for us, and that's

0:54:28.040 --> 0:54:30.640
<v Speaker 1>why we're in there. And Claus tell us about the

0:54:30.719 --> 0:54:35.360
<v Speaker 1>customer for the Ticon specifically, is this how much I

0:54:35.400 --> 0:54:37.960
<v Speaker 1>should say, does this sort of widen the aperture as

0:54:38.040 --> 0:54:41.239
<v Speaker 1>it were, to a different audience, a younger audience, a

0:54:41.320 --> 0:54:44.759
<v Speaker 1>different geography. Who's going to buy this car that might

0:54:44.800 --> 0:54:47.640
<v Speaker 1>not have bought a Porsche before? I mean, is Jason

0:54:47.760 --> 0:54:53.160
<v Speaker 1>your customers that who you're going after? Who is it? Okay? Well,

0:54:53.200 --> 0:54:55.080
<v Speaker 1>you know what we can derive data from at the

0:54:55.120 --> 0:54:59.040
<v Speaker 1>moment is our database with all all our depositors and

0:54:59.040 --> 0:55:02.000
<v Speaker 1>people who actually that the car looking at that. That's

0:55:02.040 --> 0:55:05.480
<v Speaker 1>a couple of thousands of people. So that's interesting that

0:55:06.600 --> 0:55:09.919
<v Speaker 1>come within the brand. So they they're driving approche right

0:55:09.960 --> 0:55:12.080
<v Speaker 1>now and they want to either add the tay Kon

0:55:12.560 --> 0:55:15.279
<v Speaker 1>to their garage or they want to replace one of

0:55:15.280 --> 0:55:19.960
<v Speaker 1>our cards. But come from the outside of our current

0:55:20.120 --> 0:55:24.480
<v Speaker 1>client here and the outside the main competitor in the

0:55:24.560 --> 0:55:27.520
<v Speaker 1>outside world that is currently then engaging with the tykon

0:55:28.160 --> 0:55:33.280
<v Speaker 1>Um is from tesla Um. So we respect that brand.

0:55:33.320 --> 0:55:36.160
<v Speaker 1>We respect them preparing the market for better electric vehicle,

0:55:36.280 --> 0:55:39.240
<v Speaker 1>but we also respect their customers now looking into driving

0:55:39.239 --> 0:55:41.080
<v Speaker 1>a Porsche when it comes to better electrics. So what

0:55:41.120 --> 0:55:42.960
<v Speaker 1>I'm hearing classes that you're saying, some of them are

0:55:43.000 --> 0:55:44.680
<v Speaker 1>new to the brand, new to the Porsche brand that

0:55:44.719 --> 0:55:48.520
<v Speaker 1>you're bringing in. That's right, Yeah, fifty are new to

0:55:48.560 --> 0:55:51.720
<v Speaker 1>the brand, so they have never owned a Porsche before.

0:55:51.920 --> 0:55:55.319
<v Speaker 1>And a conquest rate of more always is a very

0:55:55.320 --> 0:55:59.720
<v Speaker 1>good indication for having the right strategy in our business model.

0:56:00.400 --> 0:56:04.520
<v Speaker 1>And so Klaus, tell us about some of the impact

0:56:04.880 --> 0:56:07.359
<v Speaker 1>on your other well known brands and your other well

0:56:07.400 --> 0:56:10.080
<v Speaker 1>known lines, and specifically maybe the nine eleven. I mean,

0:56:10.120 --> 0:56:13.959
<v Speaker 1>that's such an iconic brand in many ways, an iconic car.

0:56:14.520 --> 0:56:17.080
<v Speaker 1>You know, how much does that change the way you

0:56:17.120 --> 0:56:19.439
<v Speaker 1>think about it? And maybe maybe your customers think about

0:56:19.480 --> 0:56:24.160
<v Speaker 1>it if they're transitioning to this new electric You know,

0:56:24.239 --> 0:56:27.719
<v Speaker 1>from my point of view, the nine eleven stands on

0:56:27.760 --> 0:56:31.440
<v Speaker 1>its own within our brand, maybe even in the industry,

0:56:31.680 --> 0:56:34.600
<v Speaker 1>especially with our fans. It's Nike and off the brand.

0:56:35.160 --> 0:56:38.600
<v Speaker 1>Um so people who gravitate towards the nine eleven. And

0:56:38.640 --> 0:56:42.520
<v Speaker 1>we've been building a car since nineteen sixty three's it's

0:56:42.560 --> 0:56:46.880
<v Speaker 1>now in its eighth generation. Um, they will remain with

0:56:46.960 --> 0:56:50.240
<v Speaker 1>that car. Um. Of course they're gonna try out Tychon

0:56:50.360 --> 0:56:52.440
<v Speaker 1>and see what that car is like. But the leven

0:56:52.480 --> 0:56:56.400
<v Speaker 1>will always remain a nine eleven from our point of view. However,

0:56:56.600 --> 0:57:00.279
<v Speaker 1>if I look at the Deposito data, yes, they are

0:57:00.360 --> 0:57:03.600
<v Speaker 1>some customers to currently drive a nine eleven either want

0:57:03.600 --> 0:57:07.560
<v Speaker 1>to add the Tykon to the garage or potentially have

0:57:07.800 --> 0:57:10.320
<v Speaker 1>a break from the nine eleven and then drive the Tykon.

0:57:10.680 --> 0:57:12.480
<v Speaker 1>So there's going to be a little bit of movement

0:57:12.600 --> 0:57:15.080
<v Speaker 1>in there. But we're not worried about the nine eleven

0:57:15.080 --> 0:57:17.840
<v Speaker 1>because that car is so rock solid in that segment

0:57:17.880 --> 0:57:20.880
<v Speaker 1>of two door sports cars, um that there won't be

0:57:20.960 --> 0:57:24.160
<v Speaker 1>much substitutional cannibalization from our point of view. Wait, so

0:57:24.240 --> 0:57:26.880
<v Speaker 1>do I hear that a nine eleven will ultimately, I know,

0:57:27.120 --> 0:57:29.720
<v Speaker 1>go go electric. I think it's the last line that

0:57:29.760 --> 0:57:33.520
<v Speaker 1>you're going to do it. It will happen eventually. Well,

0:57:33.760 --> 0:57:36.280
<v Speaker 1>everything is going to go electric eventually, you know that's

0:57:36.760 --> 0:57:39.360
<v Speaker 1>you guys have made that commitment. Yeah, that's the name

0:57:39.360 --> 0:57:42.840
<v Speaker 1>of the game. And yes, the nine eleven will most

0:57:42.840 --> 0:57:45.040
<v Speaker 1>probably be the very last one in the line for

0:57:45.120 --> 0:57:48.320
<v Speaker 1>that transition, and it might happen, you know, in in

0:57:48.360 --> 0:57:50.600
<v Speaker 1>a decade from now. We don't know. We just know

0:57:50.800 --> 0:57:55.560
<v Speaker 1>that from our current plans, fifty of our car sold

0:57:55.600 --> 0:57:59.040
<v Speaker 1>in will actually have a plug, so will either we

0:57:59.120 --> 0:58:02.800
<v Speaker 1>battery electrically, will or will be a plug in hybrid. Alright,

0:58:02.840 --> 0:58:06.080
<v Speaker 1>so it's the beginning of the year. As Carol mentioned

0:58:06.080 --> 0:58:08.480
<v Speaker 1>at the top, twenty nineteen was a great year. I

0:58:08.520 --> 0:58:12.520
<v Speaker 1>believe you were recently returned from world headquarters over there

0:58:12.600 --> 0:58:15.720
<v Speaker 1>in Germany. What's the message that's been put out to

0:58:16.000 --> 0:58:19.000
<v Speaker 1>the senior executive team in terms of what to expect

0:58:19.000 --> 0:58:24.320
<v Speaker 1>in Well, you know, we've we've seen record years now

0:58:24.680 --> 0:58:28.240
<v Speaker 1>for portion has ten record years in a row, so

0:58:28.600 --> 0:58:31.400
<v Speaker 1>a decade full of records. Now, we all know that

0:58:31.440 --> 0:58:34.280
<v Speaker 1>the economy goes in cycles, so we need to be cautious,

0:58:34.280 --> 0:58:37.760
<v Speaker 1>we need to be flexible. We shouldn't be anxious, We

0:58:37.760 --> 0:58:40.440
<v Speaker 1>should be ambitious, and we are. But of course the

0:58:40.480 --> 0:58:46.360
<v Speaker 1>economy globally is potentially slowing down and we can't expect

0:58:46.360 --> 0:58:49.160
<v Speaker 1>those record years to carry on forever. So we have

0:58:49.280 --> 0:58:53.240
<v Speaker 1>to have a business model in place that is flexible,

0:58:53.560 --> 0:58:58.360
<v Speaker 1>flexible enough to cater for those fluctuations. In the economy classes.

0:58:58.440 --> 0:59:00.280
<v Speaker 1>It's safe to say that as you guys can tinue

0:59:00.320 --> 0:59:03.440
<v Speaker 1>the transition to electric vehicles, that there is going to

0:59:03.520 --> 0:59:05.760
<v Speaker 1>be some extra costs as a result of it, and

0:59:05.800 --> 0:59:08.560
<v Speaker 1>there's going to be some changing dynamics within the brand

0:59:08.600 --> 0:59:11.080
<v Speaker 1>mix and how customers see it or how customers are

0:59:11.080 --> 0:59:13.840
<v Speaker 1>purchasing that there might be, you know, some challenges when

0:59:13.840 --> 0:59:18.760
<v Speaker 1>it comes to meeting the top and bottom lines better

0:59:18.800 --> 0:59:22.720
<v Speaker 1>electric vehicles in terms of the investment costs. Development costs

0:59:22.760 --> 0:59:26.320
<v Speaker 1>are more expensive than our of course, you know decades

0:59:26.360 --> 0:59:30.200
<v Speaker 1>of experience with combustion engines and that type of technology.

0:59:30.640 --> 0:59:33.080
<v Speaker 1>It's going to take years until we have scale and

0:59:33.160 --> 0:59:35.840
<v Speaker 1>better electric vehicles in a way, so we will have

0:59:36.120 --> 0:59:40.840
<v Speaker 1>costs comparable to combustion engines. However, this is the way

0:59:40.840 --> 0:59:43.440
<v Speaker 1>we have to go and it's not a revolution, it

0:59:43.480 --> 0:59:46.040
<v Speaker 1>will be an evolution. That's class Salmo or the Presidency

0:59:46.120 --> 0:59:48.600
<v Speaker 1>of Portion of North America, and last year we had

0:59:48.640 --> 0:59:51.840
<v Speaker 1>some fun with him. He brought around the Ticon, their

0:59:51.840 --> 0:59:55.000
<v Speaker 1>first electric vehicle, and they're going all in over the

0:59:55.040 --> 0:59:57.080
<v Speaker 1>next few years when it comes to electric well and

0:59:57.160 --> 0:59:59.720
<v Speaker 1>so appropriate that we talked to him, and probably not

0:59:59.840 --> 1:00:03.160
<v Speaker 1>an accident that Porsche is making a bigger splash at

1:00:03.160 --> 1:00:05.840
<v Speaker 1>the Super Bowl this year. Given what we've already talked

1:00:05.840 --> 1:00:08.680
<v Speaker 1>about as it relates to Tesla e Vis, They're having

1:00:08.680 --> 1:00:12.880
<v Speaker 1>a moment, and really the question is are the traditional

1:00:12.920 --> 1:00:15.040
<v Speaker 1>carmakers going to be able to keep up with Tesla.

1:00:15.160 --> 1:00:17.120
<v Speaker 1>We spent a lot of time with Class Selmer of

1:00:17.320 --> 1:00:19.600
<v Speaker 1>Porsche North America for the full conversation. We sure to

1:00:19.640 --> 1:00:22.960
<v Speaker 1>download the Bloomberg Business Week Extra wherever you download your podcast.

1:00:23.080 --> 1:00:24.920
<v Speaker 1>And that's going to wrap up the weekend edition of

1:00:24.920 --> 1:00:27.400
<v Speaker 1>Bloomberg Business Week from Bloomberg Radio. Thank you so much

1:00:27.440 --> 1:00:29.640
<v Speaker 1>for joining us. I'm Jason Kelly and I'm Carol Masser.

1:00:29.720 --> 1:00:32.120
<v Speaker 1>Be sure to tune into Bloomberg Business Week Radio Live

1:00:32.160 --> 1:00:34.919
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1:00:35.120 --> 1:00:36.920
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1:00:48.480 --> 1:00:49.320
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