WEBVTT - Bloomberg Businessweek Weekend - April 21st, 2023

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<v Speaker 1>This is Bloomberg Business Wait inside from the reporters and

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<v Speaker 1>editors who bring you America's most trusted business magazine, plus

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<v Speaker 1>global business, finance and tech news. The Bloomberg Business Week

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<v Speaker 1>Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio sad.

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<v Speaker 2>By.

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<v Speaker 3>So we're gonna talk a little bit about those boring

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<v Speaker 3>old savings accounts. I'm gonna slow it down a little bit, everybody.

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<v Speaker 3>The new we show, Bloomberg BusinessWeek is out on newsstands.

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<v Speaker 3>This will all make sense in a moment. Be patient.

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<v Speaker 3>It's on newsstands, online, a Bloomberg dot com slash BusinessWeek,

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<v Speaker 3>and of course on the Bloomberg. And we're talking about

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<v Speaker 3>this week's domestic covery, which is something that the big

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<v Speaker 3>bank CEOs over the past week or so have been

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<v Speaker 3>asked about paying up more on bank savings accounts, which

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<v Speaker 3>are increasingly looking pretty interesting. As a surgeon interest rates

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<v Speaker 3>has waited on some of the more speculative corners of

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<v Speaker 3>financial markets. Let's get more on this story. It's the

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<v Speaker 3>remarks in a new issue and we get to uh,

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<v Speaker 3>of course, and it is the domestic cover. As I

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<v Speaker 3>said earlier, Uh, the editor of Bloomberg BusinessWeek magazine, Joel

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<v Speaker 3>Weber and Bloomberg Market senior editor Mike Reigan both actually

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<v Speaker 3>Jill visit our studio. Mike is there on zoom from

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<v Speaker 3>New Jersey. Joe, we're you know, we constantly say we're

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<v Speaker 3>living in there.

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<v Speaker 4>You're saving all your love forming. Uh, it's it's a

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<v Speaker 4>whit the Houston favorite of mine. Yes, Deep Deep This week,

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<v Speaker 4>so we've been perhaps you've noticed some offers from all

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<v Speaker 4>over the place about how you can get four percent

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<v Speaker 4>savings and Apple had that news betterments out with four

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<v Speaker 4>point three five. Mike, do you remember when I could

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<v Speaker 4>like invest in uh, you know, like a MC or

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<v Speaker 4>pictures of digital apes and get rich really quickly. And

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<v Speaker 4>it seems like the exact opposite is the cell now.

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<v Speaker 5>Yeah, absolutely, you know, Joel, the fascinating thing is in

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<v Speaker 5>that sort of twelve thirteen years of rock bottom interest

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<v Speaker 5>rates after the financial crisis, the banks kind of trained

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<v Speaker 5>us all to forget about the whole notion of you know,

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<v Speaker 5>they're supposed to be paying us money to give them

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<v Speaker 5>our savings. It's really a fascinating I think period in history,

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<v Speaker 5>really a historical because you know, never have interest rates

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<v Speaker 5>stayed that low. For that long, and even when the

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<v Speaker 5>Federal Reserve started raising interest rates in twenty seventeen and

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<v Speaker 5>twenty and eighteen, it was.

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<v Speaker 6>A very gradual, slow rise, and.

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<v Speaker 7>The banks didn't exactly react quickly to it by raising

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<v Speaker 7>their own deposit rates, even though they were now able

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<v Speaker 7>to make a little bit more money.

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<v Speaker 6>You know, in the credit markets and whatnot.

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<v Speaker 7>This time, it's a whole different scenario because that rise

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<v Speaker 7>from the Federal Reserve has been so aggressive, so rapid,

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<v Speaker 7>that a lot of banks have really reacted quickly to it.

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<v Speaker 7>And you know, as you pointed out, Apple, sort of

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<v Speaker 7>that news landed right as we were polishing off this story,

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<v Speaker 7>so it was good timing on that. But the other

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<v Speaker 7>fascinating thing is that not all banks have yet to

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<v Speaker 7>do it. You know, you look at your basic savings

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<v Speaker 7>account at Chase or Bank of America, they're still at

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<v Speaker 7>literally zero point zero one percent on a savings account.

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<v Speaker 7>And there's a variety of reasons for that. You know,

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<v Speaker 7>they have a lot of much more diverse business other

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<v Speaker 7>sources of funding than bank deposits, but that disparity is

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<v Speaker 7>really fascinating. You know, zero point zero one percent to

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<v Speaker 7>some banks, UFB Direct a small online bank offering above

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<v Speaker 7>five percent, and now Apple and Goldman getting into the

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<v Speaker 7>business offering over four percent. So it's it's a very

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<v Speaker 7>dramatic and sort of newly competitive environment for banks to

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<v Speaker 7>compete for these deposits, like like they haven't really had

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<v Speaker 7>to do since before the global financial crisis in two

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<v Speaker 7>thousand and eight.

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<v Speaker 3>Mike, should they be? And I guess I ask because,

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<v Speaker 3>as you say, you know, it's not the old fashioned

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<v Speaker 3>bank of you know, taking deposits and loan out to

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<v Speaker 3>the neighborhood, you know, to buy homes, to buy things,

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<v Speaker 3>and so on and so forth. The big banks today

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<v Speaker 3>are much more complicated financial entities and they have a

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<v Speaker 3>lot of different ways to make money. Do they care,

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<v Speaker 3>maybe this is a naive question. Do they care whether

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<v Speaker 3>or not they have those individual customer deposits? How important

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<v Speaker 3>is that to a bank?

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<v Speaker 7>Well, you know, I think the bigger you get, the

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<v Speaker 7>more diversified your businesses, the less pressure you're feeling, you know,

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<v Speaker 7>especially when you look at a bank like JP Morgan

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<v Speaker 7>Chase that saw actually saw a flood of deposits in

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<v Speaker 7>the first quarter because of the concern about the smaller

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<v Speaker 7>regional banks.

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<v Speaker 6>But the smaller you get.

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<v Speaker 7>The more you are closer to that standard banking model

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<v Speaker 7>of you know, borrowing low and lending high. I think

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<v Speaker 7>the more pressure you're feeling because the average consumer and businesses.

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<v Speaker 7>Even more importantly, I've woken up to this idea that

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<v Speaker 7>there's a better rate out there. Now it's finally worth

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<v Speaker 7>my time and effort to sort of break up with my.

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<v Speaker 6>Bank, switch banks.

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<v Speaker 7>And the less I think many banks want to confront

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<v Speaker 7>right now is a drop in deposits.

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<v Speaker 6>I mean that ultimately.

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<v Speaker 8>Didn't go over well.

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<v Speaker 6>It didn't go over well, it didn't go over well

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<v Speaker 6>Silicon Valley back.

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<v Speaker 7>Now, that's obviously an exaggerated situation, but bank deposits in

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<v Speaker 7>aggregate all US commercial banks dropped last year for the

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<v Speaker 7>first time since like the nineteen forties, So that the

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<v Speaker 7>competition is real, and not all banks have raised their rates.

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<v Speaker 7>But I think there's more to come. You know, there's

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<v Speaker 7>this competition. It isn't over. There will be more banks

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<v Speaker 7>reacting and raising rates, you know, if not to four

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<v Speaker 7>or five percent, certainly the era of rock bottom interest

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<v Speaker 7>rates on savings deposits, I think is really coming to

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<v Speaker 7>a pretty swift end.

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<v Speaker 8>You know.

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<v Speaker 4>The thing they have going for them, though, is a

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<v Speaker 4>inertia Mike. It's like really hard to pull out, you know,

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<v Speaker 4>out of a bank where you've been banking forever and

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<v Speaker 4>maybe you've got all those auto payments set up and

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<v Speaker 4>auto checks and to like actually, you know, move from

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<v Speaker 4>one institution to another, even going after you know, bank

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<v Speaker 4>rates five point oh two percent. As great as that sound,

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<v Speaker 4>that's your thing. Like, man, inertia is a hard thing

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<v Speaker 4>to overcome, So like, you know, what incentive do the

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<v Speaker 4>banks really have to do this?

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<v Speaker 3>I believe they call it stickiness?

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<v Speaker 7>Yeah, stickiness right, yeah, you know, And that's we're kind

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<v Speaker 7>of in that phase now where the inertia I think

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<v Speaker 7>is still a big thing.

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<v Speaker 6>You know, say you have ten thousand dollars in savings.

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<v Speaker 7>If you're if you get a five percent rate on that,

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<v Speaker 7>you're talking about five hundred bucks.

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<v Speaker 6>So is it worth it for you for five hundred bucks.

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<v Speaker 7>To really, as you point out, go through and take

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<v Speaker 7>the effort and possibly have to rejigger all your automatic

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<v Speaker 7>payments and stuff. But you know, the higher that savings

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<v Speaker 7>goes up, if you have you know, one hundred thousand

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<v Speaker 7>dollars and all of a sudden you're talking about five

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<v Speaker 7>thousand dollars a year, Well, you know, it might.

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<v Speaker 6>Be worth it.

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<v Speaker 7>It's probably worth it, And I think that's a calculation

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<v Speaker 7>that a lot of just average mom and pops are

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<v Speaker 7>doing around the country right now, and businesses as well well.

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<v Speaker 9>Also that five hundred dollars, as an investor would tell you,

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<v Speaker 9>if you put that back into your Schwab brokerage, that

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<v Speaker 9>could be a lot more in the decades to come.

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<v Speaker 9>But I want to ask you about how to suss

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<v Speaker 9>out these high old savings accounts. I get fed constant

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<v Speaker 9>ads about a variety of different high old savings accounts.

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<v Speaker 9>My friends and I are always having this discussion of

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<v Speaker 9>what to do with our savings.

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<v Speaker 4>Do they look like the cover of Bloomberg Business Week,

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<v Speaker 4>which is the number four flexing with cool look very weird?

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<v Speaker 9>They look way less cool and way more sketchy, which

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<v Speaker 9>is why I'm concerned about me and my friends getting

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<v Speaker 9>scammed by non FDIC insured high yield savings account Do

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<v Speaker 9>you have any advice for us?

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<v Speaker 7>Yeah, I mean, I think you know that's a great point. Obviously,

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<v Speaker 7>you make sure you're dealing with a FDIC insured bank,

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<v Speaker 7>which chah, they all all the banks are more or

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<v Speaker 7>less FDIC insured now. But you know, I'm sure if

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<v Speaker 7>you starch hard enough on the internet you'll find some

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<v Speaker 7>sketchy operators that aren't actually insured, you know, especially if

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<v Speaker 7>you're you know, dipping a tone of the crypto market

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<v Speaker 7>and that sort of thing. But you know, the other

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<v Speaker 7>important thing is, well, what is You know that FDIC

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<v Speaker 7>limit is two hundred and fifty thousand dollars, So if

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<v Speaker 7>you're talking about moving an amount of money greater than that,

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<v Speaker 7>you have to think about it a little bit harder.

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<v Speaker 2>And.

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<v Speaker 7>You know, perhaps split it up over a couple banks,

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<v Speaker 7>or go to a money market mutual fund, which isn't

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<v Speaker 7>fdi C in sort, but they have a very strong

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<v Speaker 7>history of being pretty reliable. You know, I don't think

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<v Speaker 7>I could be wrong about this, but I don't think.

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<v Speaker 6>Of money market fund has ever actually failed in the US.

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<v Speaker 7>You know, the reserve fund in the financial crisis, UH

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<v Speaker 7>broke the book reading. You know, your assets dropped a

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<v Speaker 7>little bit, but you know, so yeah, you got to

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<v Speaker 7>do your research. And you know, some accounts require minimum balance,

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<v Speaker 7>some don't. If you're talking about a CD or what

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<v Speaker 7>they call time deposit, you might have to lock up

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<v Speaker 7>your money for a year or two years something like that.

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<v Speaker 6>So you know, it's it's a good time to read

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<v Speaker 6>the fine print for once.

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<v Speaker 4>Yeah, it also just makes me think, like I mean

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<v Speaker 4>that fine print, like is there is there some fine

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<v Speaker 4>print that we haven't thought.

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<v Speaker 8>About for a while even, you know, And.

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<v Speaker 4>I'm like, there's there's basis points with some of this stuff,

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<v Speaker 4>Like so is there you know when the when the

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<v Speaker 4>Reagan family sits down and assesses their options, you know what,

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<v Speaker 4>what are you just going straight for the north of

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<v Speaker 4>five percent, Mike, or are you somewhere north south of that?

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<v Speaker 8>Well?

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<v Speaker 7>I think what's fascinating to me is that there is

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<v Speaker 7>this skepticism and this you know, it's too good to

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<v Speaker 7>be true mentality towards towards a four percent savings rate

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<v Speaker 7>when you know, I'm dating.

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<v Speaker 6>Myself here a little bit.

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<v Speaker 7>But you know, I remember back in the eighties, I mean,

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<v Speaker 7>you know, you expected to get paid on your deposits,

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<v Speaker 7>you know, and you shocked around and.

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<v Speaker 6>Found that best that best yield.

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<v Speaker 7>I remember taking my nickels and dimes from the paper

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<v Speaker 7>route and put them in the bank knowing I, you know,

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<v Speaker 7>I get a nice yield on it. So a little

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<v Speaker 7>skepticism is healthy. But I think in the sort of

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<v Speaker 7>spectrum of investments bank savings account you know, I would.

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<v Speaker 8>As boring as it gets, is as.

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<v Speaker 7>Boring and probably as safe as it gets. Granted, you know,

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<v Speaker 7>if you're under that FDIC limit, especially that two hundred

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<v Speaker 7>and fifty thousand dollars limit now there is there there

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<v Speaker 7>was sort of this paranoia that erupted when SVB and

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<v Speaker 7>the other two went under that you know, the the

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<v Speaker 7>fd I C might not have enough money in its

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<v Speaker 7>own accounts to cover to ensure the positive if if

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<v Speaker 7>the dominoes keep falling at enough banks go under. I

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<v Speaker 7>think that's subsided a little bit just because of.

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<v Speaker 6>The programs that have been put in place. And also

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<v Speaker 6>to me, I think, you know, the FDIC.

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<v Speaker 7>Is such an important institution to this country that even

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<v Speaker 7>though we have this you know, pro wrestling version of

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<v Speaker 7>politics going on right now, where you.

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<v Speaker 6>Know, anything could happen.

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<v Speaker 7>We might default on treategeries in a few months. I

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<v Speaker 7>think that FDIC is so important that it would, you know,

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<v Speaker 7>if it were to not live up to its obligations,

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<v Speaker 7>that the damage on both sides of the political aisle

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<v Speaker 7>would be so great that they actually would you know,

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<v Speaker 7>do what.

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<v Speaker 6>It takes to keep it afloat. So I think, you know, I.

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<v Speaker 3>Talk about a crisis of confidence if that.

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<v Speaker 7>Happened, absolutely absolutely yeah, and I you know, knock on wood,

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<v Speaker 7>and I you know, I hope I'm not proved wrong

0:11:52.000 --> 0:11:54.040
<v Speaker 7>about that, but I think, you know, it is such

0:11:54.040 --> 0:11:58.720
<v Speaker 7>a you know, important bedrock of the entire US financial

0:11:58.720 --> 0:12:02.320
<v Speaker 7>system that even in the toxic political environment we're in

0:12:02.400 --> 0:12:03.360
<v Speaker 7>right now, I think they'd.

0:12:03.200 --> 0:12:05.360
<v Speaker 6>Find a way to to to keep it going.

0:12:05.440 --> 0:12:10.000
<v Speaker 4>Okay, So if it's point zero one percent on basic

0:12:10.080 --> 0:12:14.839
<v Speaker 4>savings deposits at banks, Bank of America or or Chase,

0:12:14.960 --> 0:12:17.400
<v Speaker 4>you know, like Mike Wake, what what's it gonna be?

0:12:17.920 --> 0:12:20.280
<v Speaker 4>Is it gonna go point zero five? Or are they

0:12:20.280 --> 0:12:23.560
<v Speaker 4>going to go to you know, zero point one?

0:12:24.000 --> 0:12:27.400
<v Speaker 7>You know, I think right now the CEOs that those

0:12:27.440 --> 0:12:30.880
<v Speaker 7>banks are kind of sussing out exactly what they're gonna

0:12:30.920 --> 0:12:33.199
<v Speaker 7>have to do because you.

0:12:33.160 --> 0:12:35.040
<v Speaker 6>Know, for one thing that the one big.

0:12:34.840 --> 0:12:39.520
<v Speaker 7>Competition for banks is money market mutual funds. Right because

0:12:39.520 --> 0:12:42.439
<v Speaker 7>they're they invest in short term securities, they're able to

0:12:42.480 --> 0:12:45.319
<v Speaker 7>be much more nimbler in raising and lowering rates.

0:12:45.480 --> 0:12:46.120
<v Speaker 6>As need be.

0:12:46.760 --> 0:12:49.480
<v Speaker 7>You know, uh, JP Morgan's got money market funds most

0:12:49.520 --> 0:12:52.600
<v Speaker 7>of your big banks have these, So if they're leaving

0:12:52.720 --> 0:12:54.880
<v Speaker 7>deposits on one side of the business, but they're going

0:12:54.920 --> 0:12:57.679
<v Speaker 7>into the the other side, it's not as acute of

0:12:57.720 --> 0:13:01.680
<v Speaker 7>an issue as your smaller traditional bank that really needs

0:13:01.720 --> 0:13:03.560
<v Speaker 7>that traditional savings.

0:13:03.080 --> 0:13:03.559
<v Speaker 6>To posit it.

0:13:03.720 --> 0:13:06.120
<v Speaker 7>So, you know, I think I think the pressure is

0:13:06.160 --> 0:13:10.360
<v Speaker 7>going to be much greater on the more simpler, uh

0:13:10.600 --> 0:13:13.840
<v Speaker 7>you know right, borrow, borrow low, and lend high type

0:13:13.880 --> 0:13:17.400
<v Speaker 7>of banks then the more diversified sort of financial supermarket banks.

0:13:17.480 --> 0:13:19.719
<v Speaker 3>Although you know, we did see that headline on the

0:13:19.720 --> 0:13:22.440
<v Speaker 3>Blueberg money market funds have the biggest weekly outflow since

0:13:22.480 --> 0:13:25.880
<v Speaker 3>twenty twenty from the Investment Company Institute. So yeah, no,

0:13:26.000 --> 0:13:28.080
<v Speaker 3>but I mean banks maybe getting squeezed. You know what

0:13:28.120 --> 0:13:29.880
<v Speaker 3>I really want to know, Mike, did you pose for

0:13:29.960 --> 0:13:32.600
<v Speaker 3>the cover story at that stroll?

0:13:32.679 --> 0:13:38.040
<v Speaker 8>I think you didn't recognize the as it's not mine us.

0:13:37.640 --> 0:13:40.760
<v Speaker 6>Going through a men's health phase cover design.

0:13:40.880 --> 0:13:44.960
<v Speaker 4>There there were many versions of that cover that existed

0:13:45.000 --> 0:13:46.880
<v Speaker 4>before we got to that one, and I'm just so

0:13:46.960 --> 0:13:49.520
<v Speaker 4>glad that it became weirder than where we were because

0:13:49.520 --> 0:13:51.000
<v Speaker 4>it was pretty weird, and then it got.

0:13:51.040 --> 0:13:53.520
<v Speaker 3>Even Weirderam, Like, what is it?

0:13:53.600 --> 0:13:53.880
<v Speaker 2>Text?

0:13:54.520 --> 0:13:57.080
<v Speaker 4>You just don't. Sometimes there's just questions that you don't

0:13:57.080 --> 0:13:58.000
<v Speaker 4>want to know the answer to it.

0:13:58.160 --> 0:14:04.040
<v Speaker 7>But uh skipped right from Men's Health Inspiration to Crack magazine.

0:14:04.400 --> 0:14:07.080
<v Speaker 3>So the Business Week After Dark podcast. Catch it on

0:14:07.120 --> 0:14:07.840
<v Speaker 3>your podcast.

0:14:08.120 --> 0:14:10.280
<v Speaker 4>You look too closely at the apps, it just gets

0:14:10.360 --> 0:14:11.959
<v Speaker 4>your life gets really weird, really quickly.

0:14:12.200 --> 0:14:12.760
<v Speaker 3>Oh my god.

0:14:12.960 --> 0:14:15.480
<v Speaker 10>It all right, all right, guys, thank you so much.

0:14:15.920 --> 0:14:18.439
<v Speaker 10>It is the domestic cover story Bloomberg Business Week, which

0:14:18.520 --> 0:14:21.000
<v Speaker 10>is add on newsstands, online at Bloomberg dot com, Slash

0:14:21.040 --> 0:14:23.440
<v Speaker 10>BusinessWeek and of course on the Bloomberg Mike Reigan, thank

0:14:23.480 --> 0:14:25.800
<v Speaker 10>you so much. Senior editor, lead blogger for the Bloomberg

0:14:25.880 --> 0:14:28.800
<v Speaker 10>Markets Live blog on zoom from New Jersey. Joe Webber,

0:14:28.840 --> 0:14:30.600
<v Speaker 10>of course, the editor Bloomberg Business Week. Are you really

0:14:30.640 --> 0:14:32.200
<v Speaker 10>on some kind of health wellness figs?

0:14:33.080 --> 0:14:37.960
<v Speaker 4>Uh sure, sure, I mean I work out. I'm intermittent

0:14:38.000 --> 0:14:39.880
<v Speaker 4>fasting sometimes, you know, it's all true.

0:14:40.200 --> 0:14:44.040
<v Speaker 3>Fasting, a little fasting. All right, You are listening and

0:14:44.080 --> 0:14:45.480
<v Speaker 3>watching Bloomberg Business Week.

0:14:46.080 --> 0:14:49.640
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:14:49.680 --> 0:14:52.400
<v Speaker 1>live weekdays from two to five pm Eastern.

0:14:52.240 --> 0:14:55.600
<v Speaker 11>On Bloomberg Radio, the Bloomberg Business app, and you too.

0:14:55.840 --> 0:14:58.880
<v Speaker 1>You can also listen live to our flagship New York station,

0:14:59.440 --> 0:15:04.440
<v Speaker 1>Just say Alexa, play Bloomberg eleven thirty, Oh.

0:15:04.400 --> 0:15:08.080
<v Speaker 9>My ladies, Pop Yo, bets with it, Pop.

0:15:09.440 --> 0:15:10.680
<v Speaker 12>Poply sap.

0:15:11.360 --> 0:15:13.120
<v Speaker 3>All right, everybody. We've just been talking a little bit

0:15:13.120 --> 0:15:15.840
<v Speaker 3>about the markets and some of the stocks on the move,

0:15:15.960 --> 0:15:19.240
<v Speaker 3>and once again we're seeing shares of WW International rally

0:15:19.520 --> 0:15:21.680
<v Speaker 3>another eleven and a half percent as we speak, up

0:15:21.720 --> 0:15:24.080
<v Speaker 3>more than twenty two percent earlier in this session. But

0:15:24.160 --> 0:15:27.000
<v Speaker 3>keep in mind, this is a stock that has almost

0:15:27.080 --> 0:15:30.240
<v Speaker 3>doubled in the week alone, all largely on the news

0:15:30.240 --> 0:15:32.440
<v Speaker 3>of the company's plan and then this week closing of

0:15:32.480 --> 0:15:35.360
<v Speaker 3>its acquisition of a telehealth provider that will help it

0:15:35.400 --> 0:15:37.960
<v Speaker 3>access the growing market for new OBCD drugs.

0:15:38.000 --> 0:15:38.480
<v Speaker 8>We knew we.

0:15:38.440 --> 0:15:40.600
<v Speaker 3>Wanted to hear more, so we wanted to go straight

0:15:40.600 --> 0:15:43.280
<v Speaker 3>to the source. Joining us is the CEO of WW,

0:15:43.600 --> 0:15:46.960
<v Speaker 3>Sima Sistani. She is co founder and a former CEO

0:15:47.160 --> 0:15:49.880
<v Speaker 3>of also the social platform House Party, took off during

0:15:49.880 --> 0:15:53.760
<v Speaker 3>the pandemic. She was also a senior leader at Epic Games. Sima,

0:15:53.840 --> 0:15:55.760
<v Speaker 3>it is so nice to have you here with us.

0:15:56.120 --> 0:15:57.920
<v Speaker 3>Great to be talking with you. How are you.

0:15:59.120 --> 0:16:01.800
<v Speaker 2>I'm great, Thank you. It's nice to be here too.

0:16:02.200 --> 0:16:04.320
<v Speaker 3>There's a lot going on, a lot of conversations and

0:16:04.360 --> 0:16:06.800
<v Speaker 3>certainly within the analyst community and even in our newsroom

0:16:06.840 --> 0:16:09.560
<v Speaker 3>about what you are doing at the company. Stock, as

0:16:09.560 --> 0:16:11.440
<v Speaker 3>we said, has been on a tear. You completed the

0:16:11.480 --> 0:16:15.840
<v Speaker 3>acquisition of Sequence, the telehealth provider. It sounds like you

0:16:15.880 --> 0:16:19.000
<v Speaker 3>are getting into the weight loss drug business. Why why

0:16:19.040 --> 0:16:19.360
<v Speaker 3>are you?

0:16:22.000 --> 0:16:24.760
<v Speaker 2>Look, we're in the midst of an evolving landscape and

0:16:24.880 --> 0:16:29.560
<v Speaker 2>how the medical community and many consumers view obesity and

0:16:29.760 --> 0:16:34.320
<v Speaker 2>overweight I believe that the zeitgeist is changing and more

0:16:34.360 --> 0:16:39.000
<v Speaker 2>people are now recognizing obesity as a chronic condition, understanding

0:16:39.000 --> 0:16:44.240
<v Speaker 2>its causes, including not just behavior but also biology, and

0:16:44.520 --> 0:16:49.560
<v Speaker 2>there's an increasing openness to clinical interventions to help. And

0:16:49.880 --> 0:16:53.840
<v Speaker 2>we have a next generation of medications that is really

0:16:53.920 --> 0:16:57.760
<v Speaker 2>game changing. And so when I joined over a year ago,

0:16:58.520 --> 0:17:02.720
<v Speaker 2>I guess just over or ago we were talking about yes,

0:17:02.800 --> 0:17:06.440
<v Speaker 2>thank you, thank you. We started talking about the possibility

0:17:07.080 --> 0:17:12.679
<v Speaker 2>of building or buying around new modalities, and it was

0:17:12.840 --> 0:17:16.080
<v Speaker 2>clear that these medications were going to be a paradigm

0:17:16.080 --> 0:17:18.000
<v Speaker 2>shift in our industry. So it was really a no

0:17:18.080 --> 0:17:20.479
<v Speaker 2>brainer to enter the space.

0:17:20.760 --> 0:17:22.640
<v Speaker 3>So I guess what we're all wondering then, is what's

0:17:22.680 --> 0:17:25.800
<v Speaker 3>the relationship between the weight Watcher's core businesses We've all

0:17:25.840 --> 0:17:29.560
<v Speaker 3>known it, and then the telemedicine medicine company excuse me

0:17:29.800 --> 0:17:32.399
<v Speaker 3>that you're acquiring. Is it a case of thinking about

0:17:32.560 --> 0:17:37.200
<v Speaker 3>current WW members getting into our getting onto weight loss drugs,

0:17:37.280 --> 0:17:40.280
<v Speaker 3>or that the telemedicine company ultimately will help you attract

0:17:40.320 --> 0:17:42.840
<v Speaker 3>more WW customers. How does it kind of work or

0:17:42.840 --> 0:17:44.640
<v Speaker 3>how do you see it working out or both?

0:17:44.680 --> 0:17:48.280
<v Speaker 2>Perhaps yes, So let me take a step back. When

0:17:48.359 --> 0:17:51.560
<v Speaker 2>we evaluated the space, we looked at over thirty different

0:17:51.680 --> 0:17:56.160
<v Speaker 2>startups and it's mostly startups that are in this landscape,

0:17:56.520 --> 0:18:00.240
<v Speaker 2>and we landed on Sequence because they have built a

0:18:00.320 --> 0:18:03.920
<v Speaker 2>tech stack better than anyone else. This is these these

0:18:03.960 --> 0:18:08.919
<v Speaker 2>medications are really expensive and Sequence had built out a

0:18:08.960 --> 0:18:13.800
<v Speaker 2>pre authorization engine, so essentially putting the insurance process on

0:18:13.880 --> 0:18:17.480
<v Speaker 2>tech rails, and we thought that that was unique and

0:18:18.000 --> 0:18:21.920
<v Speaker 2>great IP and would allow us the ability to scale.

0:18:23.000 --> 0:18:27.400
<v Speaker 2>In addition to that, they have a really delightful user experience.

0:18:28.200 --> 0:18:31.760
<v Speaker 2>The you know, it is a subscription business where you're

0:18:31.840 --> 0:18:36.680
<v Speaker 2>essentially signing up for the care team model. These are

0:18:37.040 --> 0:18:41.960
<v Speaker 2>complicated medications. It's not like getting an D script where

0:18:42.000 --> 0:18:45.399
<v Speaker 2>you can just you know, take a pill and close

0:18:45.440 --> 0:18:48.520
<v Speaker 2>your eyes. You have to tie trace the dosage along

0:18:48.600 --> 0:18:51.040
<v Speaker 2>your weight loss journey. And there's a lot of different

0:18:51.040 --> 0:18:53.960
<v Speaker 2>symptoms to manage, and so Sequence has a care team model.

0:18:54.000 --> 0:18:57.240
<v Speaker 2>It's like having you know, the clinician, fitness and structure

0:18:57.240 --> 0:18:59.840
<v Speaker 2>and nutritionists all in your pocket like in a whatapp.

0:19:00.040 --> 0:19:03.680
<v Speaker 2>And then on the other side is the clinician platform,

0:19:04.480 --> 0:19:07.800
<v Speaker 2>which had a really high MPs and UH in in

0:19:08.000 --> 0:19:11.280
<v Speaker 2>the ability for clinicians to feel that they have the

0:19:11.359 --> 0:19:15.359
<v Speaker 2>appropriate tool to help the members. So between that and

0:19:15.400 --> 0:19:18.439
<v Speaker 2>the right sort of values and alignment, we thought, okay,

0:19:18.600 --> 0:19:21.320
<v Speaker 2>this is a business that it will help us achieve

0:19:21.400 --> 0:19:25.160
<v Speaker 2>our overall mission, which you know, at our mission is

0:19:25.320 --> 0:19:30.000
<v Speaker 2>to we are currently the global leader and weight loss management.

0:19:30.040 --> 0:19:32.359
<v Speaker 2>We want to continue to be that and connect people

0:19:32.440 --> 0:19:35.960
<v Speaker 2>through healthy habits no matter which pathway they choose, whether

0:19:36.000 --> 0:19:39.720
<v Speaker 2>it's through behavior change, whether it's through clinical and potentially

0:19:39.760 --> 0:19:44.680
<v Speaker 2>functional as well, and and our and and so therefore

0:19:45.240 --> 0:19:48.800
<v Speaker 2>you know, the Sequence was Sequence was a great uh

0:19:49.480 --> 0:19:52.080
<v Speaker 2>match for us to be able to provide our members,

0:19:52.320 --> 0:19:55.280
<v Speaker 2>uh you know, and and new members any option along

0:19:55.320 --> 0:19:57.919
<v Speaker 2>the way. But I think the biggest clarification in this

0:19:58.080 --> 0:20:01.160
<v Speaker 2>is I've heard a lot of this in ovation about oh,

0:20:01.200 --> 0:20:03.280
<v Speaker 2>this is a pivot, but that's not it. This is

0:20:03.320 --> 0:20:08.440
<v Speaker 2>an and these medications are all delivered alongside a behavior

0:20:08.480 --> 0:20:09.200
<v Speaker 2>change program.

0:20:09.400 --> 0:20:11.479
<v Speaker 9>Well, Sima, I just want to pick up on that

0:20:11.520 --> 0:20:14.240
<v Speaker 9>because it's such an important point and I hate to interrupt,

0:20:14.320 --> 0:20:17.560
<v Speaker 9>but I am curious about you talk about the importance

0:20:17.560 --> 0:20:19.840
<v Speaker 9>of this not being viewed as a pivot. But as

0:20:19.880 --> 0:20:22.520
<v Speaker 9>you I'm sure incredibly familiar, there is a bit of

0:20:22.560 --> 0:20:26.159
<v Speaker 9>a controversy around ozebic, So I'm curious if you can

0:20:26.200 --> 0:20:29.320
<v Speaker 9>share with us and our listeners, what is your criteria

0:20:29.440 --> 0:20:32.000
<v Speaker 9>around prescribing it, Because there are a lot of people

0:20:32.000 --> 0:20:34.800
<v Speaker 9>who might fit the BMI minimum, but they may not

0:20:34.960 --> 0:20:38.399
<v Speaker 9>have the underlying health conditions as well, So what is

0:20:38.440 --> 0:20:41.040
<v Speaker 9>your definition of who should be taking it?

0:20:41.119 --> 0:20:44.960
<v Speaker 2>Yeah, thank you for that question. So, going back to

0:20:45.119 --> 0:20:48.639
<v Speaker 2>the sequence being the right values and alignment, you need

0:20:48.680 --> 0:20:53.119
<v Speaker 2>to prescribe these medications only when medically appropriate, which means

0:20:53.119 --> 0:20:55.800
<v Speaker 2>that you have a BMI of twenty seven or hire

0:20:55.960 --> 0:21:00.520
<v Speaker 2>with a rate related condition or BMI of thirty or higher,

0:21:00.560 --> 0:21:02.600
<v Speaker 2>and even in that case, there might be other reasons

0:21:02.600 --> 0:21:07.600
<v Speaker 2>why it's not medically appropriate. And if the clinician who

0:21:07.640 --> 0:21:09.800
<v Speaker 2>we do not employ by the way, I think that

0:21:09.800 --> 0:21:12.800
<v Speaker 2>it's important for us to have that separation if we

0:21:12.800 --> 0:21:16.600
<v Speaker 2>don't make any money money on the prescription itself, if

0:21:16.640 --> 0:21:20.120
<v Speaker 2>the clinician determines it is medically appropriate, that's where our

0:21:20.200 --> 0:21:24.919
<v Speaker 2>subscription model comes into play, where we actually provide the

0:21:24.960 --> 0:21:28.679
<v Speaker 2>support system in addition to trying to help the member

0:21:28.720 --> 0:21:31.520
<v Speaker 2>get the medication ensured.

0:21:31.880 --> 0:21:32.359
<v Speaker 13>So see me.

0:21:32.760 --> 0:21:34.720
<v Speaker 9>I know you mentioned you don't make money off of it,

0:21:34.800 --> 0:21:38.040
<v Speaker 9>but when you're thinking about your customer base as a CEO,

0:21:38.560 --> 0:21:41.720
<v Speaker 9>are you thinking that the majority of the new customers

0:21:41.760 --> 0:21:43.720
<v Speaker 9>you're going to get off of this deal are going

0:21:43.800 --> 0:21:47.600
<v Speaker 9>to be people who are interested specifically in ozembic.

0:21:49.160 --> 0:21:49.360
<v Speaker 12>No.

0:21:49.440 --> 0:21:53.920
<v Speaker 2>I think that they come first of all, there's a

0:21:53.960 --> 0:21:59.720
<v Speaker 2>wide range of medications that are are that are in

0:22:00.200 --> 0:22:03.600
<v Speaker 2>the space. The only one right ones right now that

0:22:03.680 --> 0:22:07.120
<v Speaker 2>are actually on label for weight loss is with gob

0:22:07.240 --> 0:22:11.600
<v Speaker 2>and fixendas. There are some generics as well, they're just

0:22:11.640 --> 0:22:14.359
<v Speaker 2>not the GLP ones that people are speaking to. And

0:22:14.400 --> 0:22:18.680
<v Speaker 2>then obviously ozempic off label, where when again the clinician

0:22:18.720 --> 0:22:22.679
<v Speaker 2>has deemed it appropriate. I think that people are looking

0:22:22.720 --> 0:22:26.760
<v Speaker 2>for clinical intervention and the benefit of the combination with

0:22:26.800 --> 0:22:30.360
<v Speaker 2>weight watchers is when it is not medically appropriate, then

0:22:30.560 --> 0:22:34.280
<v Speaker 2>we have a way to push those members to weight Watchers,

0:22:34.320 --> 0:22:37.119
<v Speaker 2>and vice versa. If somebody is coming to weight Watchers,

0:22:37.920 --> 0:22:42.040
<v Speaker 2>is above the BMI threshold and is interested in a

0:22:42.119 --> 0:22:44.800
<v Speaker 2>medical intervention, then we can point them to Sequence.

0:22:45.359 --> 0:22:47.600
<v Speaker 3>So what do you think it does ultimately to you know,

0:22:47.680 --> 0:22:50.080
<v Speaker 3>you know, a metric, A key metric for your company

0:22:50.080 --> 0:22:53.280
<v Speaker 3>has always been the subscriber base, which has been you know,

0:22:53.440 --> 0:22:55.439
<v Speaker 3>shrinking in recent years. We did see a pop certainly

0:22:55.480 --> 0:22:58.680
<v Speaker 3>online during the pandemic, but the in person meetings right

0:22:58.680 --> 0:23:00.920
<v Speaker 3>have also come down. What do you think this collaboration

0:23:01.000 --> 0:23:04.960
<v Speaker 3>is acquisition will do in terms of that subscriber base.

0:23:05.000 --> 0:23:06.800
<v Speaker 3>Do you have any thoughts in terms of projections there.

0:23:09.160 --> 0:23:11.280
<v Speaker 2>Well, I can't speak to that today. We'll report our

0:23:11.320 --> 0:23:14.000
<v Speaker 2>Q one results in early May. I can say that

0:23:14.080 --> 0:23:16.639
<v Speaker 2>on March sixth earnings call we said we expected to

0:23:16.720 --> 0:23:19.040
<v Speaker 2>end Q one with four million subscribers.

0:23:19.240 --> 0:23:21.440
<v Speaker 3>Okay, but I would assume, I know, you can't maybe

0:23:21.440 --> 0:23:23.159
<v Speaker 3>talk about you would assume that you're going to be

0:23:23.160 --> 0:23:28.320
<v Speaker 3>able to tap into, you know, the acquisition in terms

0:23:28.359 --> 0:23:30.960
<v Speaker 3>of its access, and that it will grow your subscriber base.

0:23:32.240 --> 0:23:35.480
<v Speaker 2>Well, I think that part of the reason that you know,

0:23:35.520 --> 0:23:40.719
<v Speaker 2>we think that this acquisition made sense is around the

0:23:40.720 --> 0:23:44.919
<v Speaker 2>the CAC efficiencies that we can achieve. The sequence business

0:23:45.000 --> 0:23:48.920
<v Speaker 2>when we acquired it had twenty four thousand active members

0:23:49.000 --> 0:23:52.919
<v Speaker 2>and that was without any paid marketing. So you could

0:23:53.160 --> 0:23:57.800
<v Speaker 2>imagine that there is a real opportunity when a business

0:23:57.920 --> 0:24:00.359
<v Speaker 2>like ours is investing a lot in paid mark getting

0:24:00.359 --> 0:24:06.639
<v Speaker 2>to basically to create at CAx efficiencies. Also, we have

0:24:06.720 --> 0:24:10.399
<v Speaker 2>a B to B side of our business where we

0:24:10.440 --> 0:24:15.320
<v Speaker 2>are partnering with employers to provide weight watchers, and so

0:24:15.359 --> 0:24:18.800
<v Speaker 2>there are ways for us to help increase access around

0:24:18.840 --> 0:24:20.480
<v Speaker 2>these medications, certainly.

0:24:20.440 --> 0:24:22.600
<v Speaker 3>And I appreciate that. And the reason I ask is

0:24:22.640 --> 0:24:24.879
<v Speaker 3>there's a lot of analysts writing about it, talking about,

0:24:25.040 --> 0:24:28.800
<v Speaker 3>you know, how much your subscriber base could could increase

0:24:29.119 --> 0:24:31.400
<v Speaker 3>or as a result of this, now that there's maybe

0:24:31.440 --> 0:24:33.119
<v Speaker 3>six million or eleven million, Like I'm hearing a lot

0:24:33.119 --> 0:24:34.560
<v Speaker 3>of numbers out there, so just trying to get a

0:24:34.560 --> 0:24:35.919
<v Speaker 3>feel I am.

0:24:36.119 --> 0:24:38.919
<v Speaker 2>I mean, it's still a very small population who is

0:24:38.920 --> 0:24:41.600
<v Speaker 2>actually able to access and I think that's a bigger

0:24:41.640 --> 0:24:45.280
<v Speaker 2>conversation that we need to be having, and that's the

0:24:45.320 --> 0:24:51.080
<v Speaker 2>sort of the clickbait nature of these medications has unlocked

0:24:51.280 --> 0:24:56.480
<v Speaker 2>an opportunity for us to have the important conversation, which

0:24:56.520 --> 0:24:59.800
<v Speaker 2>is around chronic weight management treatments for people living with obesity.

0:25:00.240 --> 0:25:03.600
<v Speaker 2>And there's a lot of stigma still associated with these

0:25:03.680 --> 0:25:07.399
<v Speaker 2>as quote unquote weight loss drugs, and we're losing the

0:25:08.640 --> 0:25:14.800
<v Speaker 2>underlined critical importance that these are medications for people living

0:25:14.840 --> 0:25:16.200
<v Speaker 2>with a chronic disease.

0:25:16.720 --> 0:25:19.199
<v Speaker 9>Well to your point on that, Seema, I know that

0:25:19.240 --> 0:25:21.440
<v Speaker 9>you're also familiar with the fact that there are shortages

0:25:21.480 --> 0:25:26.120
<v Speaker 9>of ozembic, specifically for people with diabetes who are using it.

0:25:26.200 --> 0:25:29.600
<v Speaker 9>Can you talk a little bit about your thinking around,

0:25:30.320 --> 0:25:33.840
<v Speaker 9>you know, promoting ozembic given that we are dealing with

0:25:33.880 --> 0:25:35.040
<v Speaker 9>those shortages as well.

0:25:35.480 --> 0:25:38.800
<v Speaker 2>So there are a couple of things. One is that

0:25:38.880 --> 0:25:41.720
<v Speaker 2>the nova Ortis has come out and said that there

0:25:41.760 --> 0:25:46.400
<v Speaker 2>are no longer any supply chain issues with ozembic. Secondly,

0:25:46.520 --> 0:25:50.800
<v Speaker 2>is we're not promoting ozembic. We are promoting access to

0:25:50.840 --> 0:25:56.119
<v Speaker 2>a clinical intervention. Now what the clinician actually prescribes is

0:25:56.840 --> 0:25:59.720
<v Speaker 2>a different question, but I think even in that question

0:26:00.640 --> 0:26:03.159
<v Speaker 2>lies a little bit of the concern of are we

0:26:03.280 --> 0:26:07.040
<v Speaker 2>pitting people with diabetes versus people who are living with

0:26:07.080 --> 0:26:10.359
<v Speaker 2>overweight and overweight and obesity and would we be saying

0:26:10.359 --> 0:26:12.919
<v Speaker 2>the same thing if these were medications for people with

0:26:13.040 --> 0:26:17.160
<v Speaker 2>cancer or for people with heart disease, because guess what,

0:26:17.320 --> 0:26:19.680
<v Speaker 2>obesity is the leading cause of both of those things.

0:26:19.720 --> 0:26:23.720
<v Speaker 2>So I think that that's that's the conversation, is to

0:26:23.880 --> 0:26:29.760
<v Speaker 2>really have us level up right how we perceive overweight

0:26:29.800 --> 0:26:31.280
<v Speaker 2>and obesity in our society.

0:26:31.359 --> 0:26:33.280
<v Speaker 3>All Right, We're going to leave it there, seemit. Thank

0:26:33.320 --> 0:26:35.399
<v Speaker 3>you so much. I feel like a very smart interview

0:26:35.440 --> 0:26:36.920
<v Speaker 3>in terms of answering a lot of the questions that

0:26:36.960 --> 0:26:37.800
<v Speaker 3>are out there about this.

0:26:41.520 --> 0:26:45.080
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:26:45.119 --> 0:26:47.960
<v Speaker 1>live weekdays from two to five pm Eastern.

0:26:47.680 --> 0:26:51.080
<v Speaker 11>On Bloomberg Radio, the Bloomberg Business app, and YouTube.

0:26:51.280 --> 0:26:54.320
<v Speaker 1>You can also listen live to our flagship New York station,

0:26:54.880 --> 0:26:58.120
<v Speaker 1>Just Say Alexa, play Bloomberg eleven thirty.

0:26:59.320 --> 0:27:01.720
<v Speaker 9>And that's no. He's in for Tim Stanvic along with

0:27:01.840 --> 0:27:04.439
<v Speaker 9>Carol Masser. Let's turn to the lead feature in this

0:27:04.480 --> 0:27:07.879
<v Speaker 9>week's issue of Bloomberg Business Week. Also a recent Bloomberg

0:27:08.000 --> 0:27:11.080
<v Speaker 9>Big Take, a heart wrenching look at TikTok and it's

0:27:11.200 --> 0:27:14.040
<v Speaker 9>ongoing trust and seeming safety issues.

0:27:14.119 --> 0:27:15.920
<v Speaker 3>In the third part of her series on the super

0:27:15.960 --> 0:27:20.400
<v Speaker 3>popular social media app Bloomberg investigative reporter Olivia carvill looks

0:27:20.400 --> 0:27:23.359
<v Speaker 3>at how its algorithm has led some teenagers down rabbit

0:27:23.400 --> 0:27:27.720
<v Speaker 3>holes related to body image, self harm, depression, and even suicide.

0:27:27.880 --> 0:27:30.840
<v Speaker 3>TikTok says it's making improvements as it now faces a

0:27:30.880 --> 0:27:34.679
<v Speaker 3>flood of lawsuits after multiple user deaths. Olivia joins us

0:27:34.680 --> 0:27:38.040
<v Speaker 3>now with more another incredible piece of reporting by you.

0:27:38.200 --> 0:27:41.639
<v Speaker 3>So take us through the individual and the family that

0:27:41.680 --> 0:27:42.920
<v Speaker 3>you look at and what happened.

0:27:43.480 --> 0:27:47.240
<v Speaker 14>This story was focused on the death of a sixteen

0:27:47.280 --> 0:27:50.040
<v Speaker 14>year old boy. His name was Chase Nesca and he

0:27:50.080 --> 0:27:53.680
<v Speaker 14>grew up in Long Island and a small hamlet called Bayport.

0:27:54.240 --> 0:27:57.000
<v Speaker 14>And he, or at least his parents felt like he

0:27:57.040 --> 0:28:01.359
<v Speaker 14>had no history of mental illness. He was very successful

0:28:01.560 --> 0:28:05.040
<v Speaker 14>in schooling. He was excelling academically. He was a high

0:28:05.080 --> 0:28:09.520
<v Speaker 14>honors student. He was also excelling athletically. He was in

0:28:09.680 --> 0:28:13.960
<v Speaker 14>three different soccer teams, playing for the Olympic Prep development team,

0:28:14.320 --> 0:28:17.080
<v Speaker 14>his high school team, swimming for his high school. So

0:28:17.200 --> 0:28:20.280
<v Speaker 14>he was showing signs of you know, success even at

0:28:20.280 --> 0:28:22.880
<v Speaker 14>the young age of sixteen, and he had a big

0:28:22.920 --> 0:28:26.240
<v Speaker 14>group of friends. Wasn't involved in drugs or alcohol, but

0:28:26.680 --> 0:28:30.400
<v Speaker 14>in February of twenty twenty two. He took his own

0:28:30.440 --> 0:28:35.200
<v Speaker 14>life and his family, his friends, his soccer coach, his teachers,

0:28:35.240 --> 0:28:37.399
<v Speaker 14>a lot of them I spoke to, and the word

0:28:37.560 --> 0:28:41.040
<v Speaker 14>that I heard over and over again was blindsided. They

0:28:41.040 --> 0:28:44.040
<v Speaker 14>had no idea how or why this had happened. They

0:28:44.320 --> 0:28:48.360
<v Speaker 14>felt like Chase hadn't shown any signs that he was struggling.

0:28:49.040 --> 0:28:52.280
<v Speaker 14>And his mum, she was looking for answers. She didn't

0:28:52.400 --> 0:28:55.720
<v Speaker 14>understand what had gone wrong, and so when she got

0:28:55.720 --> 0:28:58.360
<v Speaker 14>his cell phone back from the police and she realized

0:28:58.400 --> 0:29:00.520
<v Speaker 14>that it still she could turn it on. You know,

0:29:00.600 --> 0:29:03.040
<v Speaker 14>she struggled to gain access to the account because it

0:29:03.080 --> 0:29:05.640
<v Speaker 14>had a pass code on it. So she spent two

0:29:05.640 --> 0:29:08.560
<v Speaker 14>weeks just trying to open up some of his social

0:29:08.600 --> 0:29:11.320
<v Speaker 14>media accounts, just because she was looking for a clue

0:29:11.560 --> 0:29:14.760
<v Speaker 14>what had happened to her son. What couldn't she see

0:29:15.080 --> 0:29:17.640
<v Speaker 14>And when she was finally able to gain access to

0:29:17.680 --> 0:29:21.440
<v Speaker 14>his TikTok account, what she found was a barrage of

0:29:22.000 --> 0:29:29.880
<v Speaker 14>videos that promoted and glorified depression, anxiety, unrequited love, and suicide.

0:29:30.360 --> 0:29:33.480
<v Speaker 14>I've seen some of these videos and they are heartbreaking

0:29:33.560 --> 0:29:37.400
<v Speaker 14>to watch. It's not just the caption that says death

0:29:37.520 --> 0:29:40.840
<v Speaker 14>is a gift or the perfect ending, or take the

0:29:40.880 --> 0:29:44.160
<v Speaker 14>pain away, or I want to die. It is the

0:29:44.280 --> 0:29:47.840
<v Speaker 14>sad music overlaid with the image as well can be

0:29:48.000 --> 0:29:51.480
<v Speaker 14>really hard to watch them. And so when she opened

0:29:51.520 --> 0:29:54.719
<v Speaker 14>his TikTok account, she saw what he had seen, and

0:29:54.760 --> 0:29:57.880
<v Speaker 14>she also saw what the algorithm was continuing to push

0:29:57.960 --> 0:30:01.400
<v Speaker 14>his account, which was a steady stre of depression, anxiety,

0:30:01.440 --> 0:30:04.560
<v Speaker 14>and suicide content. And that is still happening to this day.

0:30:04.600 --> 0:30:05.720
<v Speaker 3>So what did that make you want to do?

0:30:06.080 --> 0:30:06.240
<v Speaker 2>Well?

0:30:06.240 --> 0:30:08.960
<v Speaker 14>When I started out reporting this story, as you mentioned

0:30:08.960 --> 0:30:11.280
<v Speaker 14>earlier as the third part of a series on TikTok,

0:30:11.320 --> 0:30:14.280
<v Speaker 14>I've been focused on child safety on the app, and

0:30:14.320 --> 0:30:17.720
<v Speaker 14>what I've heard throughout the year I've spent researching this

0:30:17.840 --> 0:30:22.160
<v Speaker 14>company is concerns about the algorithm, the fact that we

0:30:22.240 --> 0:30:25.520
<v Speaker 14>don't understand how it works, and a billion people around

0:30:25.520 --> 0:30:29.240
<v Speaker 14>the world use this platform, including kids, and there's a

0:30:29.280 --> 0:30:33.480
<v Speaker 14>lot of concern externally about a lack of transparency around

0:30:33.800 --> 0:30:37.240
<v Speaker 14>what drives the algorithm, what power is it? And what

0:30:37.280 --> 0:30:40.040
<v Speaker 14>I wanted to understand is what happens inside the company,

0:30:40.400 --> 0:30:45.040
<v Speaker 14>how to internal TikTok employees feel about this recommendation engine,

0:30:45.280 --> 0:30:47.959
<v Speaker 14>and what I came to learn is that that secrecy

0:30:48.880 --> 0:30:53.320
<v Speaker 14>runs deep internally, even inside the company. The people who

0:30:53.320 --> 0:30:57.680
<v Speaker 14>are working to protect kids online, the Trust and Safety

0:30:57.720 --> 0:31:01.520
<v Speaker 14>team that's sole responsibility is to try and keep children

0:31:01.600 --> 0:31:05.200
<v Speaker 14>and users of the product safe, even they don't understand

0:31:05.200 --> 0:31:06.520
<v Speaker 14>how the algorithm works.

0:31:07.160 --> 0:31:10.760
<v Speaker 9>And going back to originally what happened with Chas, do

0:31:10.800 --> 0:31:14.680
<v Speaker 9>we have an understanding of how the algorithm for him

0:31:14.840 --> 0:31:16.040
<v Speaker 9>came to be what it.

0:31:16.080 --> 0:31:19.000
<v Speaker 14>Was because he's not here and he can't tell us that.

0:31:19.600 --> 0:31:23.200
<v Speaker 14>I haven't been able to understand why his account turned

0:31:23.280 --> 0:31:26.720
<v Speaker 14>so dark or so sad. But it was through twenty

0:31:26.920 --> 0:31:29.560
<v Speaker 14>twenty one that his friends, they said that he had

0:31:29.600 --> 0:31:33.960
<v Speaker 14>been sending them all kind of funny videos, sports related videos,

0:31:34.040 --> 0:31:37.200
<v Speaker 14>joking videos, and then towards the end of that year,

0:31:37.640 --> 0:31:40.520
<v Speaker 14>some of the content he was sending them was sad.

0:31:40.760 --> 0:31:45.240
<v Speaker 14>It was depression related, anxiety related, and they didn't understand why.

0:31:45.760 --> 0:31:49.480
<v Speaker 14>But I did talk to some young people who experienced

0:31:49.480 --> 0:31:53.360
<v Speaker 14>a similar situation with eating disordered content who were able

0:31:53.400 --> 0:31:56.520
<v Speaker 14>to tell me their experience of using the product. And

0:31:56.880 --> 0:32:00.880
<v Speaker 14>these were two teenage girls who both had a strikingly

0:32:01.040 --> 0:32:05.400
<v Speaker 14>similar situation where they started using TikTok and they would

0:32:05.400 --> 0:32:10.640
<v Speaker 14>watch sports videos, cheerleading dance videos. They noticed that what

0:32:10.680 --> 0:32:14.600
<v Speaker 14>they were seen started to change slightly. It became healthy

0:32:14.680 --> 0:32:17.920
<v Speaker 14>recipes or EBB workouts, and then it turned into how

0:32:17.920 --> 0:32:20.160
<v Speaker 14>to make your legs look skinnier, how to eat less

0:32:20.200 --> 0:32:23.320
<v Speaker 14>calories in a day. And those two girls both told

0:32:23.360 --> 0:32:27.440
<v Speaker 14>me independently in different interviews, I didn't search for this stuff.

0:32:27.560 --> 0:32:29.160
<v Speaker 14>It just all of a sudden appeared.

0:32:29.280 --> 0:32:31.640
<v Speaker 3>What I want to do is shift gears into how

0:32:31.680 --> 0:32:35.160
<v Speaker 3>this happens. What the company says, is it a case

0:32:35.360 --> 0:32:38.360
<v Speaker 3>of and the employees or the former employees of TikTok

0:32:38.360 --> 0:32:41.120
<v Speaker 3>that you talked to, who wanted who knew something wasn't

0:32:41.200 --> 0:32:44.760
<v Speaker 3>quite right, and they couldn't even get answers internally. So

0:32:45.120 --> 0:32:47.040
<v Speaker 3>what is it that we got on that side of things?

0:32:47.240 --> 0:32:49.440
<v Speaker 14>Yeah? Sure, And it is important to point out that

0:32:49.560 --> 0:32:53.160
<v Speaker 14>suicide is complex. Nowhere in the story am I saying

0:32:53.200 --> 0:32:56.600
<v Speaker 14>that TikTok is to blame. There's a difference between causation

0:32:56.800 --> 0:32:59.440
<v Speaker 14>and correlation. So what I was able to find is

0:32:59.720 --> 0:33:02.760
<v Speaker 14>what Chase saw before he died, and some of those

0:33:02.880 --> 0:33:07.880
<v Speaker 14>videos included the specific method he used to die. What

0:33:08.000 --> 0:33:10.640
<v Speaker 14>the company said is they've been working on this issue

0:33:10.640 --> 0:33:13.720
<v Speaker 14>for years back in twenty twenty one, they pushed out

0:33:13.720 --> 0:33:16.080
<v Speaker 14>a press release saying they were going to try and

0:33:16.200 --> 0:33:20.640
<v Speaker 14>stop repetitive streams of videos about sad content, whether that's

0:33:20.640 --> 0:33:24.720
<v Speaker 14>eating disordered content, depression content, suicide content. They were going

0:33:24.800 --> 0:33:27.520
<v Speaker 14>to break that up and try and create a more

0:33:27.560 --> 0:33:31.680
<v Speaker 14>diverse experience for the viewer. And I asked them, what's

0:33:31.720 --> 0:33:35.280
<v Speaker 14>happened since you haven't sent out any updates since you

0:33:35.400 --> 0:33:37.880
<v Speaker 14>said you were working on this two years ago, And

0:33:38.000 --> 0:33:40.400
<v Speaker 14>they did push out a press release before we published

0:33:40.440 --> 0:33:43.040
<v Speaker 14>it came out in March sixteenth, saying that they had

0:33:43.080 --> 0:33:46.920
<v Speaker 14>made fifteen system updates over the past year to try

0:33:46.960 --> 0:33:50.040
<v Speaker 14>and make the algorithm safer, to try and break up

0:33:50.320 --> 0:33:54.280
<v Speaker 14>those steady streams of content. But what Chase NASCAR's account

0:33:54.360 --> 0:33:58.080
<v Speaker 14>shows is in some cases it hasn't worked. And I

0:33:58.160 --> 0:34:00.000
<v Speaker 14>wanted to understand why.

0:34:00.080 --> 0:34:02.040
<v Speaker 3>Did you feel like, since you've been reporting this out

0:34:02.080 --> 0:34:04.280
<v Speaker 3>for a long time and doing the investigative work, do

0:34:04.320 --> 0:34:06.880
<v Speaker 3>you feel like what you're getting from the company is

0:34:06.920 --> 0:34:09.759
<v Speaker 3>sufficient based on also than the conversations you're having with

0:34:09.800 --> 0:34:13.839
<v Speaker 3>former TikTok employees about their own internal struggles to kind

0:34:13.840 --> 0:34:16.719
<v Speaker 3>of understand this algorithm, especially when they saw things that

0:34:16.960 --> 0:34:17.840
<v Speaker 3>maybe were a mess.

0:34:18.280 --> 0:34:20.840
<v Speaker 14>I feel like there's a disconnect between what I'm hearing

0:34:20.840 --> 0:34:24.360
<v Speaker 14>from the company's communications team and what I'm hearing from

0:34:24.640 --> 0:34:27.800
<v Speaker 14>former employees and insiders who worked on trust and safety.

0:34:28.239 --> 0:34:31.120
<v Speaker 14>I will say that trust and safety is a huge

0:34:31.160 --> 0:34:34.800
<v Speaker 14>department at TikTok. They have forty thousand people working there,

0:34:35.160 --> 0:34:38.359
<v Speaker 14>and it's likely that some teams or departments feel frustrated

0:34:39.280 --> 0:34:42.400
<v Speaker 14>at certain times. We need to remember that this company

0:34:42.440 --> 0:34:46.759
<v Speaker 14>has exploded into popularity. It was created in twenty seventeen.

0:34:47.200 --> 0:34:50.279
<v Speaker 14>It hit the world stage in twenty eighteen. We're five

0:34:50.360 --> 0:34:53.280
<v Speaker 14>years on from that and a billion people use the platform.

0:34:53.280 --> 0:34:57.080
<v Speaker 3>But in China things are limited, so things can be

0:34:57.200 --> 0:34:58.000
<v Speaker 3>done right.

0:34:58.360 --> 0:35:00.719
<v Speaker 14>Well, in China, it's a different app app it's called

0:35:00.760 --> 0:35:01.719
<v Speaker 14>dou Yin, and.

0:35:01.800 --> 0:35:04.799
<v Speaker 9>Could they apply some of the same principles to the

0:35:04.840 --> 0:35:06.200
<v Speaker 9>app in the US well.

0:35:06.200 --> 0:35:09.000
<v Speaker 14>I asked that question of the trust and safety insiders,

0:35:09.200 --> 0:35:12.560
<v Speaker 14>and TikTok CEO was hammered on this point during the

0:35:12.560 --> 0:35:15.960
<v Speaker 14>congressional hearing. Why is it that the app you serve

0:35:16.120 --> 0:35:19.560
<v Speaker 14>to people in China called dou Yin. It's also owned

0:35:19.560 --> 0:35:22.520
<v Speaker 14>by Byteedance, It's a sister product at TikTok, and I

0:35:22.600 --> 0:35:25.400
<v Speaker 14>understand that they share some of the same source code.

0:35:25.600 --> 0:35:29.440
<v Speaker 14>Why does that app send content about museum exhibitions or

0:35:29.480 --> 0:35:32.600
<v Speaker 14>science experiments and it has a limit of kids are

0:35:32.600 --> 0:35:34.759
<v Speaker 14>only allowed to be on it for forty minutes a day.

0:35:35.000 --> 0:35:37.480
<v Speaker 14>Why do you send the spinach version of the app

0:35:37.560 --> 0:35:40.600
<v Speaker 14>to kids in China? And you know, the fentanyl version

0:35:40.600 --> 0:35:42.560
<v Speaker 14>of the app to people in the US, which is

0:35:42.560 --> 0:35:46.359
<v Speaker 14>what some lawmakers have described TikTok as. And you know

0:35:46.640 --> 0:35:48.520
<v Speaker 14>what I heard from the company is that these are

0:35:48.560 --> 0:35:53.040
<v Speaker 14>different apps serving different communities or serving different countries, and

0:35:53.080 --> 0:35:57.279
<v Speaker 14>they are governed by different regulatory issues and policies. And

0:35:57.320 --> 0:36:00.080
<v Speaker 14>I will say that even the trust and safety insiders

0:36:00.120 --> 0:36:03.360
<v Speaker 14>I talked to did feel like the dou yin version

0:36:03.400 --> 0:36:05.719
<v Speaker 14>of the app would not work in America because it

0:36:05.760 --> 0:36:08.200
<v Speaker 14>would be a censored version of the app, and kids

0:36:08.200 --> 0:36:10.680
<v Speaker 14>wouldn't think it was cool. No one would use it

0:36:10.719 --> 0:36:13.719
<v Speaker 14>if you just sent kind of steam related, you know,

0:36:13.960 --> 0:36:15.080
<v Speaker 14>educational content.

0:36:15.280 --> 0:36:17.960
<v Speaker 3>Hence the debate that's out there. So appreciate all the

0:36:18.000 --> 0:36:19.879
<v Speaker 3>reporting you doing this. It makes us smarter and makes

0:36:19.960 --> 0:36:22.080
<v Speaker 3>us figure out kind of where we need to be

0:36:22.160 --> 0:36:23.800
<v Speaker 3>when it comes to social media, which is such a

0:36:23.800 --> 0:36:26.759
<v Speaker 3>big part of our world. Oliver, Thank you so appreciate it.

0:36:26.880 --> 0:36:29.600
<v Speaker 3>Bloomberg News investigative reporter Olivia Carville.

0:36:29.880 --> 0:36:33.440
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:36:33.480 --> 0:36:37.080
<v Speaker 1>live weekdays from two to five pm Easter on Bloomberg Radio,

0:36:37.360 --> 0:36:40.240
<v Speaker 1>the Bloomberg Business App, and you too. You can also

0:36:40.320 --> 0:36:43.640
<v Speaker 1>listen live to our flagship New York station, Just say

0:36:43.760 --> 0:36:46.160
<v Speaker 1>Alexa play Bloomberg eleven thirty.

0:36:47.360 --> 0:36:50.000
<v Speaker 3>So you know, all of you been listening and watching

0:36:50.000 --> 0:36:52.200
<v Speaker 3>throughout the week. We've had a focus in honor of

0:36:52.239 --> 0:36:54.400
<v Speaker 3>birthday that is this Saturday. All this week we've been

0:36:54.440 --> 0:36:58.520
<v Speaker 3>tapping into our climate, talking about sustainable food production and agriculture,

0:36:58.920 --> 0:37:02.040
<v Speaker 3>eliminating food and as a result, helping to reduce the

0:37:02.080 --> 0:37:05.360
<v Speaker 3>massive negative contribution that ag and food waste make to

0:37:05.480 --> 0:37:09.839
<v Speaker 3>climate change waste generally. You know, Maddie, it is a

0:37:09.880 --> 0:37:12.279
<v Speaker 3>big risk to our planet. We all make a lot

0:37:12.280 --> 0:37:14.359
<v Speaker 3>of garbage and it's just really hurting us.

0:37:14.520 --> 0:37:16.520
<v Speaker 9>No, it's so true, and I think there's a lot

0:37:16.560 --> 0:37:21.040
<v Speaker 9>of misconceptions about recycling, and the Recycling Partnership has some

0:37:21.120 --> 0:37:23.640
<v Speaker 9>thoughts on how we can all be better stewards of

0:37:23.719 --> 0:37:26.160
<v Speaker 9>our planet. So here to tell us all about it

0:37:26.200 --> 0:37:29.720
<v Speaker 9>is the CEO of the Recycling Partnership Keith Harrison joining

0:37:29.800 --> 0:37:32.719
<v Speaker 9>us in our Bloomberg Interactive Broker's studio. Thank you so

0:37:32.880 --> 0:37:35.279
<v Speaker 9>much for coming in person to sit with us.

0:37:35.400 --> 0:37:37.640
<v Speaker 13>It's great to be here today, loving this.

0:37:37.960 --> 0:37:38.640
<v Speaker 15>How are you doing.

0:37:38.920 --> 0:37:41.120
<v Speaker 13>Oh, it's been a beautiful day in New York City.

0:37:41.160 --> 0:37:43.279
<v Speaker 13>I've been walking all around glad to be here.

0:37:43.800 --> 0:37:46.360
<v Speaker 9>Well, we were so excited to have you in person

0:37:46.440 --> 0:37:49.920
<v Speaker 9>with us. Give us like the top line here, recycling

0:37:50.920 --> 0:37:51.520
<v Speaker 9>does it work?

0:37:52.400 --> 0:37:55.640
<v Speaker 13>So worthy effort, also worth the effort of improving it.

0:37:56.160 --> 0:37:59.160
<v Speaker 13>Recycling Partnership is a nonprofit and I built us nine

0:37:59.239 --> 0:38:02.040
<v Speaker 13>years ago because I knew we needed a better option.

0:38:02.160 --> 0:38:04.000
<v Speaker 13>We needed a better system in the US, and that's

0:38:04.000 --> 0:38:04.520
<v Speaker 13>what we're after.

0:38:04.640 --> 0:38:07.160
<v Speaker 3>We'll go backwards because I remember growing up in our

0:38:07.160 --> 0:38:09.200
<v Speaker 3>grade school, we did paper drives all the time and

0:38:09.560 --> 0:38:12.080
<v Speaker 3>my family we you know, stored our papers, tied them

0:38:12.120 --> 0:38:13.720
<v Speaker 3>up and brought them in, you know, a huge station

0:38:13.800 --> 0:38:18.200
<v Speaker 3>wagon full of papers. What is it that hasn't been working?

0:38:18.200 --> 0:38:19.800
<v Speaker 3>Because we've been doing this for a long time. We

0:38:19.840 --> 0:38:22.640
<v Speaker 3>all have offices where we separate out garbage. Go to

0:38:22.640 --> 0:38:25.960
<v Speaker 3>different states and they separate things multiple ways depending on

0:38:25.960 --> 0:38:30.080
<v Speaker 3>the state that you live in. What hasn't been happening.

0:38:30.120 --> 0:38:31.840
<v Speaker 3>So take us back there and give us kind of

0:38:31.840 --> 0:38:33.200
<v Speaker 3>a snippet of what's going on.

0:38:33.480 --> 0:38:36.680
<v Speaker 13>We all learned about recycling in third grade. We understood

0:38:36.680 --> 0:38:38.680
<v Speaker 13>that it was good for the planet, good to do,

0:38:38.880 --> 0:38:41.719
<v Speaker 13>put your bottle, your can in the bin, take your

0:38:41.719 --> 0:38:44.800
<v Speaker 13>papers back for the drive. So why are we still

0:38:44.920 --> 0:38:49.120
<v Speaker 13>talking about this? Well, I have a quiz for you. You're ready, Yeah,

0:38:49.239 --> 0:38:52.920
<v Speaker 13>I'm ready. How many recycling programs are there in the US?

0:38:53.960 --> 0:38:55.440
<v Speaker 3>Oh my god, I have no idea?

0:38:55.560 --> 0:39:00.080
<v Speaker 13>Tons nine thousand different recycling programs. So when you're like,

0:39:00.120 --> 0:39:02.960
<v Speaker 13>why can I recycle that here but not there? What happens?

0:39:03.520 --> 0:39:06.560
<v Speaker 13>Why is that nine thousand? Now? I bet a lot

0:39:06.560 --> 0:39:09.799
<v Speaker 13>of people listening to this story think about supply chains,

0:39:09.840 --> 0:39:13.279
<v Speaker 13>thinks about business. If we pull back and we understand, like,

0:39:13.360 --> 0:39:17.279
<v Speaker 13>what is recycling? At its core? It's a feedstock for manufacturing.

0:39:17.840 --> 0:39:22.839
<v Speaker 13>What feeds feedstock starts at nine thousand different points. That

0:39:23.040 --> 0:39:26.600
<v Speaker 13>is a really tricky supply chain. So when we ask

0:39:26.600 --> 0:39:29.960
<v Speaker 13>ourselves why isn't recycling working like we want, we have

0:39:30.040 --> 0:39:31.799
<v Speaker 13>to ask have we really built it? Or has it

0:39:31.920 --> 0:39:35.560
<v Speaker 13>organically grown? Answer is a second right, it's grown over time?

0:39:35.680 --> 0:39:37.359
<v Speaker 3>Is it basically because states could do what they want,

0:39:37.400 --> 0:39:38.439
<v Speaker 3>cities could do what they want.

0:39:38.560 --> 0:39:40.960
<v Speaker 13>Is it just as simple as nine thousand different do

0:39:41.040 --> 0:39:44.040
<v Speaker 13>what you want? And that's the way that we work, right.

0:39:44.120 --> 0:39:46.720
<v Speaker 13>Communities are different. We travel from one place to another,

0:39:46.840 --> 0:39:49.880
<v Speaker 13>and some do some things better than others. And we've

0:39:49.880 --> 0:39:53.080
<v Speaker 13>put recycling on the backs of communities. And I think

0:39:53.120 --> 0:39:55.560
<v Speaker 13>it's time to ask should they be paying for that?

0:39:55.800 --> 0:39:58.040
<v Speaker 13>Is that their job? We all want it to just

0:39:58.160 --> 0:40:01.680
<v Speaker 13>work better. So would make it work better? Well, there's

0:40:01.719 --> 0:40:03.919
<v Speaker 13>an important role for policy to play here.

0:40:04.160 --> 0:40:06.600
<v Speaker 9>So what would be the dream if you got to be,

0:40:06.840 --> 0:40:08.080
<v Speaker 9>you know, the president tomorrow?

0:40:08.200 --> 0:40:09.080
<v Speaker 12>What would it look like?

0:40:09.239 --> 0:40:12.120
<v Speaker 13>I have written that down. I think about that a lot.

0:40:12.200 --> 0:40:14.799
<v Speaker 13>So what does good recycling look like? It means a

0:40:14.800 --> 0:40:18.120
<v Speaker 13>couple of things. One everyone can. Right now, forty million

0:40:18.160 --> 0:40:21.640
<v Speaker 13>American families cannot equitably recycle. They have to drive it,

0:40:21.640 --> 0:40:23.319
<v Speaker 13>they have to pay more, They just can't do it

0:40:23.400 --> 0:40:28.760
<v Speaker 13>that forty million households. So one everyone can. Two everyone does.

0:40:28.880 --> 0:40:30.920
<v Speaker 13>And they know what to put in. They trust it.

0:40:31.239 --> 0:40:33.960
<v Speaker 13>They know what to do with those yogurt cups, those boxes.

0:40:34.200 --> 0:40:34.800
<v Speaker 13>They understand.

0:40:35.000 --> 0:40:36.880
<v Speaker 3>We don't. I still don't know whether I'm supposed to

0:40:36.960 --> 0:40:40.480
<v Speaker 3>rinse them out. I still do and you feel stressed

0:40:40.480 --> 0:40:43.520
<v Speaker 3>out about it, right, I'm really serious, Like I'm like, oh,

0:40:43.520 --> 0:40:45.479
<v Speaker 3>this isn't going to be recycled, so like you know.

0:40:45.440 --> 0:40:48.160
<v Speaker 13>But so so in the future everyone can everyone does

0:40:48.239 --> 0:40:51.120
<v Speaker 13>because you know, clean and dry in the bin. Don't

0:40:51.200 --> 0:40:53.600
<v Speaker 13>overstress about it and what goes in. That's the goal

0:40:53.640 --> 0:40:55.479
<v Speaker 13>of what we're working towards. But we're not there yet.

0:40:55.640 --> 0:40:58.319
<v Speaker 13>We can go deepch what is your question in the

0:40:58.640 --> 0:40:59.680
<v Speaker 13>but lean and the dry.

0:41:00.160 --> 0:41:03.759
<v Speaker 3>Does everything that should that is divided up, that is

0:41:03.800 --> 0:41:07.359
<v Speaker 3>clean and dried in the bin? Does it actually get recycled?

0:41:07.760 --> 0:41:09.680
<v Speaker 13>That's the big question And I think that's on the

0:41:09.719 --> 0:41:12.800
<v Speaker 13>mind of public. Can I trust that this is worth

0:41:12.880 --> 0:41:13.400
<v Speaker 13>my effort?

0:41:13.760 --> 0:41:15.399
<v Speaker 3>And can I ask you? Can I just tell you why?

0:41:15.440 --> 0:41:21.360
<v Speaker 3>Because our kitchilll and team wrote a Bloomberg BusinessWeek's story

0:41:21.680 --> 0:41:24.320
<v Speaker 3>I think it was last month. It tracked a plastic

0:41:24.360 --> 0:41:29.000
<v Speaker 3>bag's two thousand mile journey across season continents quote revealing

0:41:29.040 --> 0:41:32.480
<v Speaker 3>another world of contractors, brokers and exporters and a messy

0:41:32.520 --> 0:41:35.560
<v Speaker 3>reality that looks like a less like a virtuous cycle

0:41:35.600 --> 0:41:37.479
<v Speaker 3>and more like passing the buck. Those were the words

0:41:37.480 --> 0:41:40.759
<v Speaker 3>of our Kitchell who wrote this story. It was incredible

0:41:41.400 --> 0:41:44.440
<v Speaker 3>so it didn't go where we all thought it was

0:41:44.480 --> 0:41:44.959
<v Speaker 3>going to go.

0:41:45.000 --> 0:41:47.960
<v Speaker 13>And in that case, it did not go as smoothly

0:41:47.960 --> 0:41:50.239
<v Speaker 13>as anyone would want it to go. Is that the ideal? No,

0:41:50.440 --> 0:41:53.200
<v Speaker 13>So in the system that we design, everyone can, everyone does,

0:41:53.280 --> 0:41:55.759
<v Speaker 13>and we know the fate that you can trust that

0:41:55.800 --> 0:41:58.720
<v Speaker 13>it turns into something new. So for every one story

0:41:58.760 --> 0:42:01.520
<v Speaker 13>of things not going well like that, there are a

0:42:01.640 --> 0:42:04.560
<v Speaker 13>zillion stories of things going well. Yogurt cups turning into

0:42:04.600 --> 0:42:09.479
<v Speaker 13>car parts, cans turning into more cans, plastic bottles turning

0:42:09.520 --> 0:42:12.560
<v Speaker 13>into carpet. But the public, here's one story about that,

0:42:12.640 --> 0:42:16.040
<v Speaker 13>and they think, WHOA, I've been tricked. And everyone is

0:42:16.120 --> 0:42:18.640
<v Speaker 13>so careful, you know, has their ear open for a

0:42:18.680 --> 0:42:21.399
<v Speaker 13>trick right now. So it's a scary time. So why

0:42:21.440 --> 0:42:25.319
<v Speaker 13>did that bag turn out that way? I think it's

0:42:25.320 --> 0:42:29.080
<v Speaker 13>because we don't have a system. We have this loosely connected,

0:42:29.400 --> 0:42:33.160
<v Speaker 13>highly dependent network that we think of as one thing recycling,

0:42:33.880 --> 0:42:36.719
<v Speaker 13>but it's actually a whole bunch of stuff. Now, the

0:42:36.760 --> 0:42:39.040
<v Speaker 13>fact that it left the US to go get recycled

0:42:39.040 --> 0:42:42.960
<v Speaker 13>somewhere is that innately bad. No, not at the not necessarily.

0:42:43.000 --> 0:42:46.520
<v Speaker 13>There's lots of recyclables imported and exported just like there

0:42:46.560 --> 0:42:50.840
<v Speaker 13>are purses imported and exported everything, So recyclables function like

0:42:50.880 --> 0:42:54.480
<v Speaker 13>that too. But do we need more oversight into how

0:42:54.560 --> 0:42:57.640
<v Speaker 13>things are designed for recycling, how the systems are run,

0:42:57.680 --> 0:43:00.760
<v Speaker 13>and who pays for them? One hundred percent? That's policy

0:43:01.680 --> 0:43:02.600
<v Speaker 13>and that policy.

0:43:02.960 --> 0:43:04.839
<v Speaker 9>Is that something that you would hope for at the

0:43:04.880 --> 0:43:08.640
<v Speaker 9>federal level or where do you expect to see that shift?

0:43:09.160 --> 0:43:11.560
<v Speaker 13>Well, right now we're seeing it at the state level.

0:43:11.640 --> 0:43:15.960
<v Speaker 13>Four states, California and Colorado, Oregon, and Maine have passed

0:43:16.040 --> 0:43:20.839
<v Speaker 13>extended even bigger extended producer responsibility. And so what that

0:43:20.960 --> 0:43:23.920
<v Speaker 13>means if you're a producer a company that makes packaging,

0:43:24.560 --> 0:43:27.279
<v Speaker 13>you are responsible for putting money into a kitty that

0:43:27.360 --> 0:43:30.200
<v Speaker 13>makes sure that the system in that state can take it.

0:43:30.680 --> 0:43:33.920
<v Speaker 13>And there's variable fees, so if it's designed for cyclability,

0:43:33.920 --> 0:43:36.279
<v Speaker 13>you pay less. If it's not, you pay more. But

0:43:36.440 --> 0:43:40.359
<v Speaker 13>what it's doing is shifting the economics to say, one

0:43:40.400 --> 0:43:42.840
<v Speaker 13>we need a better system, two we need a stuff

0:43:42.880 --> 0:43:45.680
<v Speaker 13>designed for that system, and the economics of it need

0:43:45.719 --> 0:43:50.160
<v Speaker 13>to deliver the returns both for the planet and our pockets.

0:43:50.440 --> 0:43:52.320
<v Speaker 3>Keith, I want to ask you, Oh, I'm sorry.

0:43:52.320 --> 0:43:55.080
<v Speaker 9>No, it's it sounds like the pain that is on

0:43:55.360 --> 0:43:56.840
<v Speaker 9>the company, not the consumer.

0:43:57.320 --> 0:44:00.400
<v Speaker 13>Right shifting. We're shifting that. We're saying company, it's not

0:44:00.480 --> 0:44:03.840
<v Speaker 13>just enough to design it to be recycled. Company, we

0:44:03.920 --> 0:44:05.759
<v Speaker 13>need you to be there to make sure that it

0:44:05.880 --> 0:44:08.680
<v Speaker 13>actually happens and putting.

0:44:08.440 --> 0:44:11.160
<v Speaker 3>How do we do that though as a company.

0:44:11.280 --> 0:44:14.040
<v Speaker 13>Well, it's through a network. This is why I think

0:44:14.080 --> 0:44:17.440
<v Speaker 13>the Recycling Partnership is pretty interesting. So we're a nonprofit

0:44:17.640 --> 0:44:20.400
<v Speaker 13>and we're funded almost entirely by corporate entities, and a

0:44:20.440 --> 0:44:22.480
<v Speaker 13>lot of times you could say, wait a minute, then

0:44:22.520 --> 0:44:25.120
<v Speaker 13>who's calling the shots here? But I think we need

0:44:25.120 --> 0:44:29.480
<v Speaker 13>more nonprofits like the Recycling Partnership because we were designed

0:44:29.480 --> 0:44:32.560
<v Speaker 13>to insist and assist. Now, what does that mean? When

0:44:32.560 --> 0:44:35.600
<v Speaker 13>a company makes a pledge to recycle more, we say, great,

0:44:35.880 --> 0:44:39.120
<v Speaker 13>we want to help you do that, but we don't

0:44:39.280 --> 0:44:42.319
<v Speaker 13>we know that that's not your subject matter expertise, that's

0:44:42.360 --> 0:44:44.160
<v Speaker 13>our So we're going to insist you get there and

0:44:44.160 --> 0:44:46.200
<v Speaker 13>we're going to assist help you do it. We bring

0:44:46.239 --> 0:44:49.480
<v Speaker 13>in subject matter experts. So I think you need transparency,

0:44:49.520 --> 0:44:52.400
<v Speaker 13>you need data, you need open books to really see

0:44:52.400 --> 0:44:55.240
<v Speaker 13>that the material is going where it should be going

0:44:55.480 --> 0:44:56.480
<v Speaker 13>in the recycling system.

0:44:56.480 --> 0:44:58.719
<v Speaker 3>Do you feel like and we're talking with Keith Harrison,

0:44:59.000 --> 0:45:01.319
<v Speaker 3>CEO of the Recycling Partnership here in studio. We've got

0:45:01.320 --> 0:45:02.960
<v Speaker 3>about a minute then we'll come back and talk some more.

0:45:02.960 --> 0:45:06.319
<v Speaker 3>But I do wonder you know ESG certainly under the

0:45:06.360 --> 0:45:08.959
<v Speaker 3>microscope and for good reasons, as we try to really

0:45:09.120 --> 0:45:12.319
<v Speaker 3>create more transparency. Are we moving? Is there a will

0:45:12.360 --> 0:45:15.399
<v Speaker 3>to move towards greater transparency when it comes to things

0:45:15.440 --> 0:45:18.200
<v Speaker 3>like recycling, whether what a company is doing, and really

0:45:18.239 --> 0:45:21.760
<v Speaker 3>the impact of understanding versus just you should be recycled.

0:45:21.800 --> 0:45:23.880
<v Speaker 3>We create products that can be recycled, but you know,

0:45:23.920 --> 0:45:27.160
<v Speaker 3>once it leaves, you know, a company or manufacturer, it's

0:45:27.320 --> 0:45:28.080
<v Speaker 3>out of their hands.

0:45:28.360 --> 0:45:28.520
<v Speaker 5>Right.

0:45:28.600 --> 0:45:31.680
<v Speaker 13>I think that that call for transparency is across the board,

0:45:31.719 --> 0:45:34.160
<v Speaker 13>and it's not just how is a product design, but

0:45:34.280 --> 0:45:36.680
<v Speaker 13>what's the system there? And how do you follow Just

0:45:36.680 --> 0:45:39.160
<v Speaker 13>like you said earlier that they follow those plastic bags,

0:45:39.320 --> 0:45:41.319
<v Speaker 13>how do we follow it all the way through and

0:45:41.360 --> 0:45:44.600
<v Speaker 13>make sure what we intend to happen happens. And that's

0:45:44.600 --> 0:45:48.160
<v Speaker 13>how you present prevent greenwashing. But that's also critical to

0:45:48.719 --> 0:45:51.640
<v Speaker 13>a healthy system, which is what we want. Recycling will

0:45:51.680 --> 0:45:54.440
<v Speaker 13>protect the natural resources. We all need this to happen.

0:45:54.800 --> 0:45:58.240
<v Speaker 13>But it's calling out for better controls and better oversight.

0:45:58.400 --> 0:46:02.640
<v Speaker 9>But your groceries keyth they in those reusable bags that

0:46:02.680 --> 0:46:04.880
<v Speaker 9>are supposed to be great for our environment. But we

0:46:04.880 --> 0:46:07.840
<v Speaker 9>were saying, I am personally drowning in these reusable bags.

0:46:07.840 --> 0:46:11.640
<v Speaker 9>I know that's an incredibly privileged, privileged position to be in,

0:46:11.719 --> 0:46:13.080
<v Speaker 9>but what do I do?

0:46:13.840 --> 0:46:16.080
<v Speaker 13>Right? So I think this is the very nature of

0:46:16.400 --> 0:46:19.520
<v Speaker 13>this conversation. Right, people want to do the right thing,

0:46:19.800 --> 0:46:21.680
<v Speaker 13>but it's pretty easy to say, I don't want to

0:46:21.760 --> 0:46:24.160
<v Speaker 13>choose the plastic container, so I'm going to choose paper.

0:46:24.200 --> 0:46:26.120
<v Speaker 13>I don't want to use the single use bag, I mean,

0:46:26.200 --> 0:46:29.600
<v Speaker 13>use a cloth one. But then the sticks actually get

0:46:29.680 --> 0:46:32.479
<v Speaker 13>higher when you get up up the chain on heavy

0:46:32.560 --> 0:46:35.719
<v Speaker 13>duty materials, and so the responsibility of making sure that

0:46:35.760 --> 0:46:38.880
<v Speaker 13>you do something is there with those reusable grocery bags.

0:46:39.000 --> 0:46:41.879
<v Speaker 13>I would have to look for a donation place for that,

0:46:41.920 --> 0:46:42.560
<v Speaker 13>but I think them.

0:46:43.200 --> 0:46:45.560
<v Speaker 3>So I guess the question is like, have we exchanged

0:46:45.680 --> 0:46:48.040
<v Speaker 3>a bad problem for a even bigger problems?

0:46:48.040 --> 0:46:52.000
<v Speaker 13>I think we have, And it's all rooted in the

0:46:52.200 --> 0:46:53.840
<v Speaker 13>we want to buy our way out of this or

0:46:53.920 --> 0:46:56.759
<v Speaker 13>we need We're not We're looking for the quick fix,

0:46:56.800 --> 0:47:00.719
<v Speaker 13>when really what our society relies on is convenience and

0:47:00.880 --> 0:47:03.839
<v Speaker 13>serving busy people. Every person listening to this show right

0:47:03.880 --> 0:47:06.600
<v Speaker 13>now has a million things going on between their company,

0:47:06.680 --> 0:47:09.880
<v Speaker 13>their family, their next steps, and they don't need to

0:47:09.920 --> 0:47:12.560
<v Speaker 13>be spending time worrying about do I need to rinse

0:47:12.600 --> 0:47:14.440
<v Speaker 13>my peanut butter container or do I just put it

0:47:14.440 --> 0:47:17.480
<v Speaker 13>in the bin. And that's why that's why the recycling

0:47:17.520 --> 0:47:20.560
<v Speaker 13>Partnership exists, is we're trying to pull together the public

0:47:20.600 --> 0:47:23.600
<v Speaker 13>and the private sectors and overhaul this whole system so

0:47:23.960 --> 0:47:26.479
<v Speaker 13>this public doesn't have to think about recycling all the time.

0:47:26.719 --> 0:47:29.120
<v Speaker 13>The system exists. The system exists, so you can just

0:47:29.160 --> 0:47:31.760
<v Speaker 13>recycle without thinking. And here's how you get here. Okay,

0:47:31.840 --> 0:47:34.960
<v Speaker 13>one you pass legislation that you change is the economics,

0:47:35.040 --> 0:47:39.239
<v Speaker 13>that communities aren't carrying the bill carrying this on their backs,

0:47:39.239 --> 0:47:42.080
<v Speaker 13>that they're not paying for this, that the economics are

0:47:42.200 --> 0:47:44.319
<v Speaker 13>paid for by the same companies that are producing it.

0:47:44.840 --> 0:47:48.520
<v Speaker 13>Make that whole system better organized to make sure that

0:47:48.560 --> 0:47:51.640
<v Speaker 13>what's designed for recycling is recovered. So we're going to

0:47:51.760 --> 0:47:53.520
<v Speaker 13>not just hope for the best, but we're going to

0:47:53.600 --> 0:47:55.240
<v Speaker 13>make sure that it's designed and recovered.

0:47:55.239 --> 0:47:55.479
<v Speaker 3>There.

0:47:55.680 --> 0:47:58.640
<v Speaker 13>Now, we did a report. We answered this question, what

0:47:59.000 --> 0:48:02.080
<v Speaker 13>would it take to fix the US recycling system. Now,

0:48:02.080 --> 0:48:04.960
<v Speaker 13>how do I define that? Can people recycle? Do people

0:48:04.960 --> 0:48:08.839
<v Speaker 13>will recycle? And is the infrastructure there? The price tig

0:48:09.320 --> 0:48:14.160
<v Speaker 13>seventeen billion dollars. What we can find seventeen billion dollars

0:48:14.200 --> 0:48:18.319
<v Speaker 13>And here's the deal, thirty billion dollar return, A thirty

0:48:18.360 --> 0:48:22.359
<v Speaker 13>billion dollar return in resource conservation and US jobs. I

0:48:22.360 --> 0:48:25.040
<v Speaker 13>think that's an investment we can't afford not to make.

0:48:25.440 --> 0:48:28.040
<v Speaker 13>And you know what, we could do it in five

0:48:28.160 --> 0:48:31.160
<v Speaker 13>years and talk about something else. What would you like

0:48:31.200 --> 0:48:31.759
<v Speaker 13>to talk about?

0:48:31.840 --> 0:48:36.280
<v Speaker 3>Well, what I'm curious is would you go to Washington

0:48:36.400 --> 0:48:38.879
<v Speaker 3>or talk to somebody in Washington? Is there any will

0:48:38.960 --> 0:48:42.319
<v Speaker 3>to do something like this? It's not expensive, but I'm

0:48:42.360 --> 0:48:42.920
<v Speaker 3>just curious.

0:48:43.000 --> 0:48:45.520
<v Speaker 13>So I've worked in recycling for twenty five years. I

0:48:46.840 --> 0:48:49.080
<v Speaker 13>ran a recycling program. I worked for the State of

0:48:49.120 --> 0:48:53.040
<v Speaker 13>North Carolina doing grants. I was a contractor with Boozellen

0:48:53.080 --> 0:48:55.920
<v Speaker 13>working on EPA stuff. So I've worked all across the

0:48:55.960 --> 0:48:59.719
<v Speaker 13>different sectors. And what I found is that everyone wants

0:48:59.719 --> 0:49:02.439
<v Speaker 13>to say outcome, just make it work, but everyone wants

0:49:02.480 --> 0:49:04.799
<v Speaker 13>it for a different reason. And so we need a

0:49:04.840 --> 0:49:08.040
<v Speaker 13>marriage counselor like someone who's saying, this is what our

0:49:08.080 --> 0:49:11.200
<v Speaker 13>words mean and for the first time though in this

0:49:11.320 --> 0:49:13.799
<v Speaker 13>twenty five years of working on this, it's only been

0:49:13.840 --> 0:49:17.120
<v Speaker 13>the last two three years that federal policy makers have

0:49:17.200 --> 0:49:19.719
<v Speaker 13>been saying, Hey, what's my role in it? And I

0:49:19.760 --> 0:49:22.840
<v Speaker 13>think that's great. So there is a huge role for

0:49:22.920 --> 0:49:26.960
<v Speaker 13>federal policy because, as I said before, break four states

0:49:26.960 --> 0:49:31.320
<v Speaker 13>have passed state level policy. But that's a hodgepodge approach

0:49:31.440 --> 0:49:34.319
<v Speaker 13>that's better than the nine thousand different programs we have now.

0:49:34.600 --> 0:49:37.279
<v Speaker 13>But think about what happens if we have one one

0:49:37.320 --> 0:49:40.160
<v Speaker 13>where things are designed for system, things are recovered, and

0:49:40.280 --> 0:49:44.440
<v Speaker 13>we get to address things like equitable access the environmental

0:49:44.520 --> 0:49:47.640
<v Speaker 13>justice component of equal services.

0:49:47.320 --> 0:49:50.839
<v Speaker 3>So is the marriage counselor potentially the EPA and or

0:49:50.880 --> 0:49:55.040
<v Speaker 3>the SEC. So you kind of dealing with publicly traded

0:49:55.040 --> 0:49:57.399
<v Speaker 3>companies that there's a component that they're measured on, which

0:49:57.440 --> 0:50:00.439
<v Speaker 3>is something we talk a lot about, and it comes

0:50:00.480 --> 0:50:03.000
<v Speaker 3>to environmental impact and kind of doing it right, and

0:50:03.040 --> 0:50:05.800
<v Speaker 3>recycling certainly could be a big part of it, probably should,

0:50:06.120 --> 0:50:08.000
<v Speaker 3>And then the EPA, I don't know, like, how do

0:50:08.080 --> 0:50:09.640
<v Speaker 3>you see it that it plays out.

0:50:09.840 --> 0:50:11.800
<v Speaker 13>I think there's a there's probably a lot of marriage

0:50:11.840 --> 0:50:15.520
<v Speaker 13>counselors here, the recycling partnership as a nonprofit is one

0:50:15.560 --> 0:50:19.040
<v Speaker 13>that pulls together the public and the private sector, big company,

0:50:19.040 --> 0:50:24.120
<v Speaker 13>small companies, every human in this country. But I think

0:50:24.160 --> 0:50:26.319
<v Speaker 13>there is a role for regulation, there is a role

0:50:26.360 --> 0:50:29.160
<v Speaker 13>for standards. I'm really interested in data. How do we

0:50:29.239 --> 0:50:34.200
<v Speaker 13>measure progress, transparency for the flow of material. You know,

0:50:34.640 --> 0:50:38.160
<v Speaker 13>I'm keeping an eye on the UN Global Plastics Treaty.

0:50:38.280 --> 0:50:41.440
<v Speaker 13>That's going to be a legally binding instrument to align

0:50:41.600 --> 0:50:44.279
<v Speaker 13>for some common standards. I think that if I was

0:50:44.360 --> 0:50:47.040
<v Speaker 13>running a company that made stuff, I'd have my eye

0:50:47.080 --> 0:50:49.839
<v Speaker 13>on that because it's gonna have what is that? So,

0:50:49.880 --> 0:50:53.680
<v Speaker 13>the UN Global Plastics Treaty. I'm headed to Paris next

0:50:53.719 --> 0:50:55.759
<v Speaker 13>month for the second I in C so that the

0:50:55.880 --> 0:51:02.320
<v Speaker 13>International Negotiating Committee of this globally binding plat plastic pollution

0:51:02.520 --> 0:51:05.640
<v Speaker 13>reduction instrument. And what that means is we can't just

0:51:05.719 --> 0:51:08.239
<v Speaker 13>keep trying to solve things here and there. We need

0:51:08.280 --> 0:51:12.920
<v Speaker 13>to have a common approach across countries. And so will

0:51:13.040 --> 0:51:16.080
<v Speaker 13>the UN have something that's really his teeth in it.

0:51:16.160 --> 0:51:20.319
<v Speaker 13>That's yet to be seen. But what is happening is

0:51:20.360 --> 0:51:23.719
<v Speaker 13>that companies are paying attention of do I want to

0:51:23.760 --> 0:51:26.160
<v Speaker 13>wait to be told what to do? Or do I

0:51:26.239 --> 0:51:29.040
<v Speaker 13>want to do that now, and that's the questions we get.

0:51:29.120 --> 0:51:33.280
<v Speaker 13>So we work with nearly one hundred major global companies

0:51:33.640 --> 0:51:36.359
<v Speaker 13>that either make stuff we use every day or sell

0:51:36.400 --> 0:51:39.640
<v Speaker 13>stuff we use every day, and they are aligning on

0:51:39.719 --> 0:51:40.480
<v Speaker 13>common goals.

0:51:40.600 --> 0:51:43.440
<v Speaker 9>What are they doing? What is the biggest the change

0:51:43.480 --> 0:51:44.279
<v Speaker 9>you're seeing that make?

0:51:44.680 --> 0:51:48.440
<v Speaker 13>So the biggest change is that they're understanding it's not

0:51:48.520 --> 0:51:51.480
<v Speaker 13>just what they do inside their four walls, but what

0:51:51.520 --> 0:51:55.560
<v Speaker 13>they do outside of their four walls, meaning what happens

0:51:55.600 --> 0:51:58.160
<v Speaker 13>to the bags inside your apartment, or what happens with

0:51:58.239 --> 0:52:02.520
<v Speaker 13>your paper that your family makes that it has somewhere

0:52:02.520 --> 0:52:05.680
<v Speaker 13>to go. So the biggest shift I see is our

0:52:05.800 --> 0:52:07.759
<v Speaker 13>companies who are saying, Okay, I need to make sure

0:52:07.840 --> 0:52:11.480
<v Speaker 13>that the infrastructure is there, otherwise my goals will not

0:52:11.560 --> 0:52:14.080
<v Speaker 13>be met, not because I didn't design something, but because

0:52:14.800 --> 0:52:18.160
<v Speaker 13>those forty million American families just can't do it. If

0:52:18.160 --> 0:52:20.880
<v Speaker 13>we can't do it, then don't tell the public to

0:52:20.960 --> 0:52:21.880
<v Speaker 13>do it. Right?

0:52:22.000 --> 0:52:23.840
<v Speaker 3>Is it going to mean ultimately we continue kind of

0:52:23.840 --> 0:52:26.480
<v Speaker 3>doing what we're doing, but just amp it up and

0:52:26.640 --> 0:52:29.960
<v Speaker 3>maybe there's more divisions of plastic glass. I don't know.

0:52:30.080 --> 0:52:31.839
<v Speaker 3>And then there is a place and just got about

0:52:31.840 --> 0:52:33.319
<v Speaker 3>thirty seconds I'm just trying to well.

0:52:33.400 --> 0:52:35.600
<v Speaker 13>So out of ESD, you know, the thing that worries

0:52:35.640 --> 0:52:38.200
<v Speaker 13>me most out of ESG is just this hot pot

0:52:38.360 --> 0:52:41.120
<v Speaker 13>of opportunities where people are throwing money at, you know,

0:52:41.400 --> 0:52:43.920
<v Speaker 13>venture ideas here and there that don't ladder up to

0:52:43.960 --> 0:52:45.920
<v Speaker 13>system change. I think we have to stop and pause,

0:52:46.320 --> 0:52:49.280
<v Speaker 13>use things like federal policy and the und Global Plastic

0:52:49.280 --> 0:52:53.040
<v Speaker 13>Streaty to create consistency and shine a light on measurable

0:52:53.080 --> 0:52:55.040
<v Speaker 13>transparent parency for change.

0:52:56.239 --> 0:52:58.839
<v Speaker 9>Can we do like biggest mistake consumers make?

0:52:58.920 --> 0:53:05.280
<v Speaker 13>Oh quick, right, I'm ready? Oh well, I think let's

0:53:05.280 --> 0:53:07.759
<v Speaker 13>do some real fast so pizza boxes. Put them in

0:53:08.040 --> 0:53:12.719
<v Speaker 13>caps on bottles, leave them on. I clean and dry

0:53:12.800 --> 0:53:14.480
<v Speaker 13>on your materials, but you don't have to run them

0:53:14.480 --> 0:53:18.200
<v Speaker 13>through the dishwasher. And the number one thing is, if

0:53:18.200 --> 0:53:20.920
<v Speaker 13>you're in New York City, you use bags to recycle

0:53:21.200 --> 0:53:24.560
<v Speaker 13>outside your apartment, but in most places in the country,

0:53:25.239 --> 0:53:28.920
<v Speaker 13>don't bag your recyclables inside your cart. Leave them loose.

0:53:29.480 --> 0:53:32.080
<v Speaker 13>That's the best way to make sure that those all

0:53:32.160 --> 0:53:34.879
<v Speaker 13>those beautiful recyclables get turned into something else.

0:53:35.000 --> 0:53:36.840
<v Speaker 3>Just throw them in a can and just empty.

0:53:37.040 --> 0:53:39.319
<v Speaker 13>Just throw them in your recycling bin, your recycling cart,

0:53:39.440 --> 0:53:40.120
<v Speaker 13>keep them empty.

0:53:40.440 --> 0:53:44.200
<v Speaker 3>Really cool stuff thank you, come back after Paris Harrison,

0:53:44.320 --> 0:53:45.880
<v Speaker 3>CEO of the Recycling Partnership.

0:53:45.920 --> 0:53:53.279
<v Speaker 1>Here in studio, you're listening to the Bloomberg Business Week Podcast.

0:53:53.520 --> 0:53:56.520
<v Speaker 1>Catch us live weekdays from two to five pm Easter.

0:53:56.560 --> 0:53:59.799
<v Speaker 11>On Bloomberg Radio, the Bloomberg Business App, and you too.

0:54:00.160 --> 0:54:02.919
<v Speaker 1>You can also listen live to our flagship New York

0:54:02.960 --> 0:54:10.200
<v Speaker 1>station Just Say Alexa, Play Bloomberg e Love and thirty Soles.

0:54:10.440 --> 0:54:12.719
<v Speaker 11>Wait, Joe spar you.

0:54:14.480 --> 0:54:17.839
<v Speaker 6>Spa spa too?

0:54:19.760 --> 0:54:21.759
<v Speaker 3>All right, it is the game that was designed to

0:54:21.800 --> 0:54:25.880
<v Speaker 3>be random chaos, elegantly rendered in circular motion. We are

0:54:25.920 --> 0:54:29.319
<v Speaker 3>talking about Roulette, and even so it's the game that

0:54:29.560 --> 0:54:31.680
<v Speaker 3>you're supposedly not being able to win. But even so,

0:54:31.719 --> 0:54:34.760
<v Speaker 3>gamblers have come up with plenty of elaborate mathematical systems

0:54:34.760 --> 0:54:37.360
<v Speaker 3>to beat it, thanks to a journey that includes a mathematician,

0:54:37.560 --> 0:54:41.120
<v Speaker 3>a gambling pioneer, an MIT professor, dreams of a utopian

0:54:41.120 --> 0:54:44.719
<v Speaker 3>community of hippie investors funded by gambling profits, and so

0:54:45.120 --> 0:54:45.799
<v Speaker 3>much more.

0:54:45.880 --> 0:54:45.960
<v Speaker 2>So.

0:54:46.040 --> 0:54:49.320
<v Speaker 3>Let's get to the current cover story of Bloomberg Business

0:54:49.320 --> 0:54:52.439
<v Speaker 3>Week and with us as Kitchillel, Bloomberg BusinessWeek Senior writer,

0:54:52.600 --> 0:54:55.480
<v Speaker 3>with us on zoom from London and also with us

0:54:55.520 --> 0:54:57.960
<v Speaker 3>the editor of Bloomberg Business Week, Jill Weber. He's here

0:54:58.000 --> 0:54:59.920
<v Speaker 3>in our Bloomberg Interactive Broker studio.

0:55:00.239 --> 0:55:00.399
<v Speaker 2>Jill.

0:55:00.480 --> 0:55:02.560
<v Speaker 3>I feel like this is once again a story, a

0:55:02.600 --> 0:55:05.239
<v Speaker 3>cover story. Everyone in the newsroom seems to be talking

0:55:05.239 --> 0:55:06.719
<v Speaker 3>about it. My husband's like, hey, did you see this

0:55:06.760 --> 0:55:08.959
<v Speaker 3>cool story from war Work business Week. I'm like, yeah,

0:55:09.040 --> 0:55:11.080
<v Speaker 3>I know, it's about Roulette.

0:55:11.840 --> 0:55:16.120
<v Speaker 4>Yeah, And you know, there are some games out there

0:55:16.160 --> 0:55:20.000
<v Speaker 4>that I think are just, you know, renowned at being

0:55:20.239 --> 0:55:23.520
<v Speaker 4>good ways to lose money. And so I think there

0:55:23.600 --> 0:55:29.680
<v Speaker 4>is a universal appeal to stories about Roulette, and also

0:55:29.880 --> 0:55:34.880
<v Speaker 4>a universal peal whenever someone you know may have beaten Roulette.

0:55:35.000 --> 0:55:38.239
<v Speaker 4>And so when Kit kind of surfaced and said that

0:55:38.280 --> 0:55:40.759
<v Speaker 4>he was interested in this space and had found a

0:55:40.840 --> 0:55:44.680
<v Speaker 4>character that deserved a narrative, I said, Okay, tell me,

0:55:44.840 --> 0:55:47.319
<v Speaker 4>tell me more, tell me more. And that let him

0:55:47.360 --> 0:55:50.399
<v Speaker 4>down a little bit of a rabbit hole. And when

0:55:50.960 --> 0:55:53.960
<v Speaker 4>he came out of the rabbit hole, he had maybe

0:55:54.120 --> 0:55:56.879
<v Speaker 4>one of the most memorable stories that I published in

0:55:57.120 --> 0:56:03.080
<v Speaker 4>my career. And I'm curious to hear again from you kid.

0:56:03.239 --> 0:56:05.280
<v Speaker 8>Where did that story begin?

0:56:07.200 --> 0:56:09.919
<v Speaker 16>Hey, Joel, So I heard a few years ago from

0:56:09.960 --> 0:56:14.040
<v Speaker 16>another professional gambler, that it was possible, at least in theory,

0:56:14.640 --> 0:56:17.279
<v Speaker 16>to beat roulette, but it was a bit of a

0:56:17.320 --> 0:56:20.800
<v Speaker 16>struggle to find clear examples of that happening, especially of

0:56:20.880 --> 0:56:23.799
<v Speaker 16>people making money beating roulette. And so I did a

0:56:23.840 --> 0:56:27.360
<v Speaker 16>troll through old newspaper reports and I came across this

0:56:27.640 --> 0:56:32.680
<v Speaker 16>two decade old article in the British newspapers about a

0:56:32.760 --> 0:56:37.040
<v Speaker 16>gang of guys from the Balkans, from Serbia Montenegro who

0:56:37.040 --> 0:56:40.880
<v Speaker 16>had used a laser to take one point three million

0:56:41.040 --> 0:56:44.640
<v Speaker 16>pounds in roulette games playing at the Ritz casino in London.

0:56:45.440 --> 0:56:47.960
<v Speaker 15>It didn't have their names or any other details really.

0:56:48.120 --> 0:56:49.759
<v Speaker 16>But as soon as I saw it, I kind of

0:56:49.840 --> 0:56:51.840
<v Speaker 16>I had to know more about it, and so that

0:56:51.920 --> 0:56:53.799
<v Speaker 16>set me off on a journey to sort of find

0:56:53.840 --> 0:56:57.200
<v Speaker 16>out exactly who these guys were and how they've done it.

0:56:57.640 --> 0:57:02.680
<v Speaker 4>Okay, how would you go about using a laser in theory,

0:57:02.760 --> 0:57:07.240
<v Speaker 4>because it turns out that maybe that wasn't used well.

0:57:07.360 --> 0:57:08.640
<v Speaker 15>The laser was a red herring.

0:57:08.680 --> 0:57:10.800
<v Speaker 16>It was a sort of a mistake that the British

0:57:10.840 --> 0:57:13.360
<v Speaker 16>police made at the time because they didn't know what

0:57:13.400 --> 0:57:15.640
<v Speaker 16>they were looking at. Because very few people do know

0:57:15.640 --> 0:57:18.720
<v Speaker 16>the secrets of how to beat roulette, but the secret

0:57:18.800 --> 0:57:22.680
<v Speaker 16>of really long term success in the game is being

0:57:22.680 --> 0:57:26.200
<v Speaker 16>able to make a pretty good prediction about where that

0:57:26.240 --> 0:57:28.520
<v Speaker 16>ball is going to settle. You don't have to get

0:57:28.520 --> 0:57:31.480
<v Speaker 16>it exactly right. You just have to be slightly better

0:57:31.520 --> 0:57:33.240
<v Speaker 16>than average. If you can pick a settler of the

0:57:33.240 --> 0:57:36.000
<v Speaker 16>wheel and it's likely to settle there, you've got a

0:57:36.000 --> 0:57:37.680
<v Speaker 16>good chance of making some money.

0:57:38.080 --> 0:57:39.800
<v Speaker 8>We're only like one minute in Kit.

0:57:39.880 --> 0:57:42.280
<v Speaker 4>You can't give away all the secrets yet as you

0:57:42.600 --> 0:57:45.080
<v Speaker 4>hold off on that, so so just push paths there

0:57:46.160 --> 0:57:51.400
<v Speaker 4>long narrative, gotta delay suspense, Kit, I do want to

0:57:51.800 --> 0:57:55.760
<v Speaker 4>I want to know more about the casino that this

0:57:55.800 --> 0:57:58.480
<v Speaker 4>went down out, Like take us, take us back to

0:57:58.960 --> 0:58:02.080
<v Speaker 4>London's West End and give us a sense of the vibe.

0:58:02.120 --> 0:58:04.080
<v Speaker 4>And you know, the other thing to know here is like,

0:58:04.120 --> 0:58:06.280
<v Speaker 4>you know, in casinos, I typically think of.

0:58:06.240 --> 0:58:07.720
<v Speaker 8>Blackjack as the way to beat the house.

0:58:07.760 --> 0:58:10.880
<v Speaker 4>So like, what is what are how does how does

0:58:10.960 --> 0:58:14.640
<v Speaker 4>roulette rank in terms of what my odds are as

0:58:14.680 --> 0:58:17.560
<v Speaker 4>a normal person walking into you know, take on the house?

0:58:18.440 --> 0:58:22.840
<v Speaker 16>Okay, Well, the London casinos scene is very different to Vegas.

0:58:23.000 --> 0:58:26.520
<v Speaker 16>It's you know, it's high end, extremely high end members.

0:58:26.560 --> 0:58:30.400
<v Speaker 15>Only the normal crowd in a in a London.

0:58:30.200 --> 0:58:33.680
<v Speaker 16>Casino you know of a Saturday evening will include billionaires,

0:58:33.720 --> 0:58:41.480
<v Speaker 16>hedge fund managers, olive archs. It's it's very fancy, but

0:58:41.560 --> 0:58:43.200
<v Speaker 16>the stakes are high as well. You can bet a

0:58:43.240 --> 0:58:44.920
<v Speaker 16>lot of money and with lots of money there and

0:58:44.960 --> 0:58:48.440
<v Speaker 16>not attract too much attention, which is why gamblers like it.

0:58:48.480 --> 0:58:52.520
<v Speaker 16>For the roulette roulette versus blackjack. The house edge in

0:58:52.600 --> 0:58:56.160
<v Speaker 16>blackjack is pretty small, and so is the house edge

0:58:56.200 --> 0:58:59.000
<v Speaker 16>in roulette. Although it seems like a very random game

0:58:59.040 --> 0:59:02.000
<v Speaker 16>that you can have little chance of winning, the advantage

0:59:02.000 --> 0:59:02.680
<v Speaker 16>the house.

0:59:02.440 --> 0:59:05.160
<v Speaker 15>Has over the player is only about two or three percent.

0:59:06.280 --> 0:59:09.120
<v Speaker 16>So, like I say, it's achievable in terms of you know,

0:59:09.120 --> 0:59:10.520
<v Speaker 16>if you want to win some money.

0:59:10.360 --> 0:59:13.800
<v Speaker 3>If you're Nico Tosa, tell us about this individual, then

0:59:13.840 --> 0:59:14.800
<v Speaker 3>you do actually.

0:59:14.560 --> 0:59:17.960
<v Speaker 4>Win some who walked into that you know, high end London,

0:59:18.000 --> 0:59:20.640
<v Speaker 4>West End casino and sort of changed the game.

0:59:20.680 --> 0:59:25.080
<v Speaker 15>What happened, Well, most most gamblers who use these methods

0:59:25.120 --> 0:59:27.680
<v Speaker 15>are terrified of getting caught, so they'll go into a

0:59:27.680 --> 0:59:30.800
<v Speaker 15>casino a better few thousand, win a few thousand, and

0:59:30.840 --> 0:59:34.880
<v Speaker 15>try and leave for anyone notice what they're doing. Nicotosa

0:59:35.040 --> 0:59:37.520
<v Speaker 15>has the opposite approach. He tried to win as much

0:59:37.560 --> 0:59:40.720
<v Speaker 15>money as he possibly can space of time as he can.

0:59:42.960 --> 0:59:43.640
<v Speaker 15>That's his way.

0:59:43.960 --> 0:59:46.920
<v Speaker 16>And so you know, actually from a standing start of

0:59:46.920 --> 0:59:49.400
<v Speaker 16>about two or three thousand pounds, he got to one

0:59:49.400 --> 0:59:52.040
<v Speaker 16>point three million and only a few nights play. So

0:59:52.080 --> 0:59:54.800
<v Speaker 16>of course that attracts attention, but you know, in his

0:59:54.880 --> 0:59:56.280
<v Speaker 16>mind he doesn't mind the attention.

0:59:56.400 --> 0:59:57.520
<v Speaker 15>He's one of the good guys.

0:59:58.200 --> 1:00:00.160
<v Speaker 16>He says, he's not cheating and it's his right go

1:00:00.200 --> 1:00:01.360
<v Speaker 16>and play roulette as he wants.

1:00:01.600 --> 1:00:03.760
<v Speaker 17>So has that spurred other people to use a similar

1:00:03.800 --> 1:00:06.080
<v Speaker 17>type of strategy when you see a number like that.

1:00:06.160 --> 1:00:08.440
<v Speaker 17>As far as how much somebody could be raaking in like.

1:00:08.400 --> 1:00:11.320
<v Speaker 15>That, well, I don't know if that's the case.

1:00:12.320 --> 1:00:14.800
<v Speaker 16>It certainly spurred the casinos to get their act together

1:00:14.880 --> 1:00:18.240
<v Speaker 16>and try and make their wheels a bit less predictable,

1:00:18.640 --> 1:00:22.040
<v Speaker 16>and we saw widespread changes to the design of roulette

1:00:22.040 --> 1:00:27.880
<v Speaker 16>wheels in response to the Nikotosa event. But in terms

1:00:27.920 --> 1:00:30.160
<v Speaker 16>of how many people actually had the knowledge of how

1:00:30.200 --> 1:00:31.800
<v Speaker 16>to do this and were able to pull it off,

1:00:32.080 --> 1:00:33.440
<v Speaker 16>that number was small back then.

1:00:33.480 --> 1:00:34.440
<v Speaker 15>It's still small now.

1:00:35.000 --> 1:00:35.160
<v Speaker 2>Kit.

1:00:35.240 --> 1:00:37.720
<v Speaker 3>What's really cool, though, is and you do go step

1:00:37.720 --> 1:00:39.680
<v Speaker 3>by step. We've all learned so much, but this whole

1:00:39.720 --> 1:00:44.040
<v Speaker 3>idea when you play roulette, like really watching and watching.

1:00:43.760 --> 1:00:46.800
<v Speaker 8>The spin, are you going to go there? Are you

1:00:46.840 --> 1:00:47.479
<v Speaker 8>going to give it away?

1:00:47.520 --> 1:00:55.400
<v Speaker 3>Now with the editor of Business.

1:00:54.680 --> 1:00:56.439
<v Speaker 8>Kit Let's frame it.

1:00:57.200 --> 1:01:03.640
<v Speaker 4>There have been countless matt peticians, physicists, you know, anybody

1:01:03.800 --> 1:01:06.880
<v Speaker 4>who thinks they can crack this, looks at Roulette and

1:01:06.880 --> 1:01:09.640
<v Speaker 4>as like we can crack this. But like Nikotos has

1:01:09.640 --> 1:01:11.920
<v Speaker 4>seemed to have found a different way. So walk us

1:01:11.920 --> 1:01:13.960
<v Speaker 4>through what he found.

1:01:14.480 --> 1:01:16.640
<v Speaker 16>Well, he found, like all the other people who have

1:01:16.720 --> 1:01:20.840
<v Speaker 16>tried this, that roulette is actually more predictable than you imagine.

1:01:20.480 --> 1:01:24.560
<v Speaker 15>It to be. And the people who first made this

1:01:24.720 --> 1:01:30.760
<v Speaker 15>discovery were scientists from MIT and Stanford working in physics laboratories,

1:01:31.200 --> 1:01:33.400
<v Speaker 15>collecting data about the movement of the will and the

1:01:33.400 --> 1:01:34.439
<v Speaker 15>movement of the ball and.

1:01:34.360 --> 1:01:37.920
<v Speaker 16>Calculating gravity and friction. And it took them years to

1:01:37.960 --> 1:01:39.960
<v Speaker 16>work out actually, yes, it was possible to make a

1:01:40.000 --> 1:01:42.600
<v Speaker 16>basic prediction, but none of them managed to make any money.

1:01:42.760 --> 1:01:45.280
<v Speaker 15>That was decades ago, that was back in the nineteen sixties.

1:01:47.080 --> 1:01:51.360
<v Speaker 16>Using roughly the same technique, you know, Nkotosa seems to

1:01:51.440 --> 1:01:53.920
<v Speaker 16>have achieved what almost no one else has done, which

1:01:53.960 --> 1:01:55.480
<v Speaker 16>is turned it into a living in a career, and

1:01:55.520 --> 1:01:58.000
<v Speaker 16>he's made you know, millions upon millions of dollars over

1:01:58.000 --> 1:01:58.720
<v Speaker 16>the years doing this.

1:01:59.400 --> 1:02:03.240
<v Speaker 8>Okay, you, like I said, you went down that rabbit.

1:02:03.040 --> 1:02:08.080
<v Speaker 4>Hole, Mari, where else did this rabbit hole take you?

1:02:08.120 --> 1:02:09.680
<v Speaker 4>Because you did get to talk to some of those

1:02:09.720 --> 1:02:13.919
<v Speaker 4>mathematicians and physicists and and and yet you know, here

1:02:14.000 --> 1:02:16.480
<v Speaker 4>was this guy with none of that background who just

1:02:16.720 --> 1:02:20.160
<v Speaker 4>figured it, figured it out right, and talk to us

1:02:20.160 --> 1:02:21.920
<v Speaker 4>about what that even looked like at the table when

1:02:21.920 --> 1:02:22.600
<v Speaker 4>he plays.

1:02:23.000 --> 1:02:25.040
<v Speaker 16>Okay, I mean, I think the most interesting thing that

1:02:25.120 --> 1:02:28.680
<v Speaker 16>I discovered going down this rabbit hole was, of course,

1:02:28.680 --> 1:02:32.160
<v Speaker 16>these days, most roulette is played online, and that's actually

1:02:32.160 --> 1:02:35.520
<v Speaker 16>handled a big advantage to predictive players because if you

1:02:35.600 --> 1:02:37.560
<v Speaker 16>want to use predictive software, if you want to have

1:02:37.640 --> 1:02:41.200
<v Speaker 16>some program running in the background, your computer watching the screen,

1:02:41.200 --> 1:02:43.840
<v Speaker 16>if you're playing roulette online, there's very little casinos can

1:02:43.840 --> 1:02:46.800
<v Speaker 16>do about it. And there are people doing this right now.

1:02:47.120 --> 1:02:49.520
<v Speaker 16>They'll be playing were playing roulette online and will have

1:02:49.560 --> 1:02:54.400
<v Speaker 16>a program churning away, making incredibly complicated calculations and winning money.

1:02:54.160 --> 1:02:56.600
<v Speaker 15>In real time. That just blew my mind that that's

1:02:56.640 --> 1:02:57.560
<v Speaker 15>possible now.

1:02:57.640 --> 1:03:00.560
<v Speaker 16>Nico Toasta says that his technique is much simpler. He

1:03:00.720 --> 1:03:03.280
<v Speaker 16>just you know, he asked him what his secret was

1:03:03.320 --> 1:03:05.840
<v Speaker 16>and he said one word, practice, And then he showed

1:03:05.840 --> 1:03:07.680
<v Speaker 16>me a picture of the ret world that he keeps

1:03:07.680 --> 1:03:09.760
<v Speaker 16>in his house and he just sits and watches it

1:03:09.800 --> 1:03:11.880
<v Speaker 16>over and over again, thousands and thousands of times.

1:03:12.200 --> 1:03:15.040
<v Speaker 3>Wait, so take us there too, because you tracked him

1:03:15.080 --> 1:03:15.800
<v Speaker 3>down right.

1:03:16.280 --> 1:03:18.840
<v Speaker 15>Yeah, he wasn't easy to find. I mean, professional gamblers,

1:03:19.920 --> 1:03:22.280
<v Speaker 15>they spend a lot of time trying not to be discovered.

1:03:22.320 --> 1:03:25.160
<v Speaker 15>It's very bad for their jobs in the day jobs

1:03:25.520 --> 1:03:26.200
<v Speaker 15>to be well.

1:03:26.120 --> 1:03:29.479
<v Speaker 4>Miss alive, go figure having working fingers.

1:03:29.480 --> 1:03:30.320
<v Speaker 15>Well, the casinos.

1:03:30.320 --> 1:03:33.240
<v Speaker 16>The casinos keep lists of people that you know, they

1:03:33.240 --> 1:03:36.560
<v Speaker 16>call them problem gamblers, but really they're just people who

1:03:36.560 --> 1:03:38.240
<v Speaker 16>can come and make money at their expense, so they

1:03:38.240 --> 1:03:41.040
<v Speaker 16>try very hard to keep them out. So, you know,

1:03:41.080 --> 1:03:42.920
<v Speaker 16>he works, He's worked very hard over the years not

1:03:42.960 --> 1:03:45.720
<v Speaker 16>to attract any attention. So he probably wasn't delighted to

1:03:45.760 --> 1:03:48.240
<v Speaker 16>hear from me. But I did manage to track him

1:03:48.240 --> 1:03:50.960
<v Speaker 16>down to the place that he lives in Croatia, and

1:03:51.000 --> 1:03:53.520
<v Speaker 16>he sort of reluctantly sat with me and we talked.

1:03:53.280 --> 1:03:55.840
<v Speaker 15>Through what he'd done at the Ritz all those years ago.

1:03:56.360 --> 1:03:59.600
<v Speaker 3>Do you buy it that there were no gadgets or anything.

1:04:00.080 --> 1:04:03.320
<v Speaker 3>After you spent six months in you know, investigating this,

1:04:03.400 --> 1:04:05.080
<v Speaker 3>doing this story, talking to lots of people, and then

1:04:05.080 --> 1:04:07.960
<v Speaker 3>talking to him, do you buy it that it was

1:04:08.160 --> 1:04:10.560
<v Speaker 3>just he was really good at making these cars.

1:04:10.760 --> 1:04:13.080
<v Speaker 15>I think I do believe him.

1:04:13.400 --> 1:04:16.600
<v Speaker 16>My reason for that is that even if you've got

1:04:16.600 --> 1:04:19.360
<v Speaker 16>a very small computer and you're very good at hiding it,

1:04:20.640 --> 1:04:24.800
<v Speaker 16>playing for twenty years, getting busted dozens of times, because

1:04:24.840 --> 1:04:27.120
<v Speaker 16>you know, it's all over the world, getting arrested a

1:04:27.120 --> 1:04:32.800
<v Speaker 16>few times, it's very likely that at some point someone will.

1:04:32.640 --> 1:04:34.080
<v Speaker 15>Catch you in the act of the device.

1:04:34.560 --> 1:04:36.480
<v Speaker 16>They'll find it in your shoe or your belt or

1:04:36.520 --> 1:04:39.240
<v Speaker 16>your pocket. And in all the twenty years Nikots has

1:04:39.280 --> 1:04:41.600
<v Speaker 16>been playing, and I know dozens of occasions when he's

1:04:41.600 --> 1:04:45.080
<v Speaker 16>been caught, they've never found anything on him. So for me,

1:04:45.200 --> 1:04:48.440
<v Speaker 16>that's pretty strong, a pretty good indication that he is

1:04:48.480 --> 1:04:52.080
<v Speaker 16>coming the truth or that he's just got an exceptionally

1:04:52.120 --> 1:04:53.440
<v Speaker 16>clever way of hiding his computer.

1:04:53.600 --> 1:04:54.160
<v Speaker 15>One of the two.

1:04:55.560 --> 1:04:58.880
<v Speaker 4>It does make me wonder, kid like you going down

1:04:59.360 --> 1:05:03.600
<v Speaker 4>this rabbit or and I've sent you down some similar

1:05:03.600 --> 1:05:07.120
<v Speaker 4>ones before, all of which are amazing, Like what did

1:05:07.200 --> 1:05:11.960
<v Speaker 4>you learn about Roulette? And Nico like bringing all together.

1:05:12.000 --> 1:05:14.640
<v Speaker 4>What were the things that you know captivated you as

1:05:14.680 --> 1:05:16.120
<v Speaker 4>you worked on this well.

1:05:16.080 --> 1:05:17.880
<v Speaker 15>And the first thing is that you know that you

1:05:17.880 --> 1:05:19.440
<v Speaker 15>can beat a game like roulette.

1:05:19.480 --> 1:05:21.880
<v Speaker 16>You know, I've played roulette like everyone else in casinos,

1:05:21.880 --> 1:05:24.120
<v Speaker 16>and it just looks like the kind of game where

1:05:24.160 --> 1:05:27.640
<v Speaker 16>you can't possibly get an advantage. But there's a certain

1:05:27.720 --> 1:05:31.800
<v Speaker 16>kind of mindset to advantage gamblers who do this for

1:05:31.840 --> 1:05:35.720
<v Speaker 16>a living, and it's kind of like an approach that

1:05:36.800 --> 1:05:39.880
<v Speaker 16>relies on getting a tiny advantage.

1:05:39.440 --> 1:05:41.400
<v Speaker 15>Out of the house and exploiting it over a long

1:05:41.440 --> 1:05:42.120
<v Speaker 15>period of time.

1:05:42.440 --> 1:05:44.680
<v Speaker 16>You know, they don't just go and win one or

1:05:44.680 --> 1:05:48.400
<v Speaker 16>two hands of poker or blackjack. They have to they

1:05:48.440 --> 1:05:50.200
<v Speaker 16>have to get a small edge and then grind it

1:05:50.200 --> 1:05:51.280
<v Speaker 16>out over a period of time.

1:05:51.560 --> 1:05:52.920
<v Speaker 15>So it's a job just like any other.

1:05:53.040 --> 1:05:56.400
<v Speaker 16>It's incredibly difficult and it takes enormous amount of dedication

1:05:56.560 --> 1:05:57.960
<v Speaker 16>skill to make it pay.

1:05:58.280 --> 1:06:01.800
<v Speaker 3>Do all the houses now basically say we're on to

1:06:01.920 --> 1:06:04.400
<v Speaker 3>you or can we all just take charge?

1:06:04.920 --> 1:06:05.680
<v Speaker 4>Yeah?

1:06:05.720 --> 1:06:08.520
<v Speaker 16>Well, you know, a cynical part of me suspects that

1:06:09.280 --> 1:06:13.160
<v Speaker 16>casino businesses won't be terribly upset that the secret about

1:06:13.240 --> 1:06:16.960
<v Speaker 16>roulette is has sort of hit the headlines again, because

1:06:17.200 --> 1:06:19.440
<v Speaker 16>you know, for the one or two or three players

1:06:19.440 --> 1:06:22.720
<v Speaker 16>that actually are capable of beating these games, there are

1:06:22.760 --> 1:06:24.600
<v Speaker 16>going to be one or two hundred more who think

1:06:24.640 --> 1:06:28.280
<v Speaker 16>they can, but actually they can't. There's a there's an

1:06:28.280 --> 1:06:30.600
<v Speaker 16>old quote going back decades of one of the Vegas

1:06:30.640 --> 1:06:33.720
<v Speaker 16>casino owners who says, you know, we welcome system players.

1:06:33.720 --> 1:06:35.720
<v Speaker 16>We roll out our red carpet for them. You know,

1:06:35.960 --> 1:06:38.440
<v Speaker 16>anything that gets people through the door playing roulette, probably

1:06:38.440 --> 1:06:39.760
<v Speaker 16>losing money is fine by them.

1:06:39.840 --> 1:06:45.560
<v Speaker 8>Bloomber business week, good for business. Okay, get on that note.

1:06:45.720 --> 1:06:49.360
<v Speaker 4>How much Roulette was played in researching this article?

1:06:50.800 --> 1:06:52.000
<v Speaker 15>Zero games of roulette?

1:06:52.080 --> 1:06:53.600
<v Speaker 8>Okay, just just watched it.

1:06:54.680 --> 1:06:55.480
<v Speaker 15>I just watched it.

1:06:55.840 --> 1:06:59.040
<v Speaker 4>Not very good at gambling, Yeah, no, neither am I

1:06:59.080 --> 1:07:02.520
<v Speaker 4>You know so from I just think the the allure

1:07:02.560 --> 1:07:03.360
<v Speaker 4>of stuff.

1:07:03.040 --> 1:07:04.280
<v Speaker 8>Like this, it's just there.

1:07:04.600 --> 1:07:08.640
<v Speaker 4>Every once in a while we find stories that deeply

1:07:08.680 --> 1:07:11.280
<v Speaker 4>resonate with people, and like this has been one of them.

1:07:11.320 --> 1:07:13.520
<v Speaker 4>And to see how many people have read it so far,

1:07:14.240 --> 1:07:17.560
<v Speaker 4>the time spent in the article, it's just I'm very

1:07:17.640 --> 1:07:21.000
<v Speaker 4>much drawn to stories like this where there's something that

1:07:21.240 --> 1:07:24.560
<v Speaker 4>we're fascinated by and somebody somewhere out there has spent

1:07:24.640 --> 1:07:25.080
<v Speaker 4>a lot of.

1:07:25.040 --> 1:07:27.280
<v Speaker 8>Time thinking about it, much more than you have.

1:07:27.600 --> 1:07:30.439
<v Speaker 3>Well, I'm gonna be curious, like the gambling institutions around

1:07:30.440 --> 1:07:32.080
<v Speaker 3>the globe like and all of a sudden, Roulette playing

1:07:32.280 --> 1:07:35.400
<v Speaker 3>is up as a result of this kit. Thank you

1:07:35.520 --> 1:07:37.520
<v Speaker 3>so much. We know it's late where you are, and

1:07:37.960 --> 1:07:40.600
<v Speaker 3>so appreciate getting to talk with you directly about it. Kishialel,

1:07:40.960 --> 1:07:43.720
<v Speaker 3>Senior writer at Bloomberg News. Joel is right, like everything

1:07:43.720 --> 1:07:47.240
<v Speaker 3>he does, It's just incredible. On zoom from London and Joel,

1:07:47.280 --> 1:07:49.920
<v Speaker 3>thank you so much. Joell Webber, editor at Bloomberg BusinessWeek.

1:07:49.920 --> 1:07:52.520
<v Speaker 3>Here in our interactive broker studio. It is the cover

1:07:53.000 --> 1:07:55.440
<v Speaker 3>story how to Beat Roulette of the current issue at

1:07:55.480 --> 1:07:58.840
<v Speaker 3>Bloomberg BusinessWeek, Now on newstands, online at Bloomberg dot com,

1:07:58.880 --> 1:08:01.000
<v Speaker 3>slash BusinessWeek, and on the Bloomberg you're.

1:08:00.840 --> 1:08:04.440
<v Speaker 1>Listening to the Bloomberg Business Week Podcast. Catch us live

1:08:04.520 --> 1:08:07.080
<v Speaker 1>weekdays from two to five pm Eastern.

1:08:06.720 --> 1:08:10.080
<v Speaker 11>On Bloomberg Radio, the Bloomberg Business App, and you too.

1:08:10.360 --> 1:08:13.080
<v Speaker 1>You can also listen live to our flagship New York

1:08:13.120 --> 1:08:16.840
<v Speaker 1>station Just Say Alexa Play Bloomberg Eleve Them thirty.

1:08:25.640 --> 1:08:25.840
<v Speaker 12>Yeah.

1:08:26.360 --> 1:08:29.680
<v Speaker 3>Thank you Generative AI and chat ChiPT. You've given us

1:08:29.840 --> 1:08:32.600
<v Speaker 3>all a lot to talk about and to talk to.

1:08:32.920 --> 1:08:35.040
<v Speaker 3>I actould say I was actually playing with it. This weekend,

1:08:35.720 --> 1:08:39.600
<v Speaker 3>the world definitely all in on AI, specifically generative artificial intelligence,

1:08:39.680 --> 1:08:42.920
<v Speaker 3>you know, AI algorithms that generate new outputs based on

1:08:43.000 --> 1:08:45.200
<v Speaker 3>the data that they have been trained on. That's being

1:08:45.320 --> 1:08:49.240
<v Speaker 3>used to come up with meal plans, create art, write essays,

1:08:49.360 --> 1:08:51.720
<v Speaker 3>term papers, teach robots, and as during the upcoming issue

1:08:51.720 --> 1:08:55.000
<v Speaker 3>of Bloomberg BusinessWeek points out for therapy as well. So

1:08:55.120 --> 1:08:57.200
<v Speaker 3>let's get to it. This story in the new issue

1:08:57.520 --> 1:08:59.679
<v Speaker 3>that'll be on newstands later on this week, already online

1:09:00.040 --> 1:09:02.880
<v Speaker 3>burg dot com slash BusinessWeek on the Bloomberg terminal. Let's

1:09:03.160 --> 1:09:05.479
<v Speaker 3>get into it. Let's talk therapy. Entering the era of

1:09:05.600 --> 1:09:08.599
<v Speaker 3>chatbots with us. Is Bloomberg News AI reporter Rachel Metz

1:09:08.960 --> 1:09:11.439
<v Speaker 3>here in studio along with the editor of Bloomberg BusinessWeek,

1:09:11.520 --> 1:09:13.960
<v Speaker 3>Joel Weber. It is every Are you real? Are you

1:09:14.040 --> 1:09:15.120
<v Speaker 3>a chat GP tape?

1:09:15.920 --> 1:09:16.200
<v Speaker 15>I am?

1:09:16.479 --> 1:09:19.840
<v Speaker 8>I am real as far as I know. But the

1:09:20.160 --> 1:09:24.559
<v Speaker 8>conversations that people are having with chet dvt's also real.

1:09:25.280 --> 1:09:26.679
<v Speaker 8>Uh would you like that? Transition?

1:09:26.800 --> 1:09:31.439
<v Speaker 4>Is conversations are real and you can ask it anything,

1:09:31.560 --> 1:09:34.439
<v Speaker 4>and people are and they're making all kinds of stuff,

1:09:35.439 --> 1:09:38.800
<v Speaker 4>and you know, there's all kinds of questions about anxieties

1:09:39.120 --> 1:09:41.800
<v Speaker 4>of what's going to happen to jobs and all kinds

1:09:41.800 --> 1:09:44.000
<v Speaker 4>of other stuff. But the thing that I was really

1:09:44.080 --> 1:09:46.720
<v Speaker 4>drawn to with Rachel's story, which reminded me a little

1:09:46.760 --> 1:09:49.479
<v Speaker 4>bit of a Ellen Hewitt story that we did not

1:09:49.600 --> 1:09:53.880
<v Speaker 4>so long ago, also a little bit about what where

1:09:53.960 --> 1:09:57.120
<v Speaker 4>AI can go unexpected places?

1:09:57.280 --> 1:09:58.639
<v Speaker 8>This was one of those as well.

1:09:59.400 --> 1:10:02.400
<v Speaker 4>So what's happened because people are actually starting to use

1:10:02.439 --> 1:10:06.719
<v Speaker 4>it in some very deeply personal places.

1:10:07.240 --> 1:10:10.519
<v Speaker 18>Yeah, No, it's it's been interesting to watch people are

1:10:10.560 --> 1:10:13.479
<v Speaker 18>finding all kinds of ways to use chat GPT. And

1:10:13.920 --> 1:10:16.000
<v Speaker 18>one thing that some people are trying out right now

1:10:16.320 --> 1:10:19.679
<v Speaker 18>that I started to notice is using it not really

1:10:19.760 --> 1:10:22.720
<v Speaker 18>I haven't seen people really replacing therapy with it, like

1:10:22.760 --> 1:10:25.439
<v Speaker 18>if you're seeing a human therapist, but using it to

1:10:25.560 --> 1:10:29.880
<v Speaker 18>solve occasional problems, or realizing that for them there's something

1:10:29.920 --> 1:10:31.760
<v Speaker 18>about it that seems to be helpful to them, at

1:10:31.840 --> 1:10:33.360
<v Speaker 18>least with the people that I spoke to, which I

1:10:33.360 --> 1:10:34.080
<v Speaker 18>thought was really neat.

1:10:34.560 --> 1:10:38.320
<v Speaker 4>So was this an intended use for what chat gpt?

1:10:39.040 --> 1:10:42.120
<v Speaker 13>This is not an intended use case. It is a

1:10:42.280 --> 1:10:44.360
<v Speaker 13>general use chatbot.

1:10:44.840 --> 1:10:47.880
<v Speaker 18>It is not meant for that specifically, and in fact,

1:10:47.920 --> 1:10:51.840
<v Speaker 18>if you look at open aiyes terms of use, they

1:10:51.920 --> 1:10:55.200
<v Speaker 18>don't want it to be used for very specific medical

1:10:55.280 --> 1:10:57.680
<v Speaker 18>use cases like diagnosing an illness or something like that.

1:10:59.280 --> 1:11:01.439
<v Speaker 3>Shame of them. I mean Google doctor, I mean, like

1:11:01.520 --> 1:11:03.000
<v Speaker 3>how many times writes up that goes up?

1:11:03.080 --> 1:11:04.559
<v Speaker 19>I mean they know people are going to go all

1:11:04.600 --> 1:11:07.760
<v Speaker 19>these crazy places, right, I mean I think that if

1:11:07.840 --> 1:11:11.080
<v Speaker 19>you're able to use it and find it helpful, that

1:11:11.320 --> 1:11:14.639
<v Speaker 19>I think that that's interesting and that I was actually

1:11:14.680 --> 1:11:16.560
<v Speaker 19>a little surprised because initially my first thought was this

1:11:16.640 --> 1:11:20.559
<v Speaker 19>sounds like a really scary, bad idea, But then as I.

1:11:20.600 --> 1:11:23.439
<v Speaker 18>Talked to people, I it was it's much more nuanced

1:11:23.479 --> 1:11:23.680
<v Speaker 18>than that.

1:11:24.160 --> 1:11:24.720
<v Speaker 13>It help them.

1:11:25.600 --> 1:11:27.760
<v Speaker 18>Yeah, in a couple cases, although there was one. There's

1:11:27.800 --> 1:11:30.240
<v Speaker 18>one person I spoke to who said, you know, it

1:11:30.360 --> 1:11:34.200
<v Speaker 18>was like saying the right things, but I just couldn't

1:11:34.200 --> 1:11:35.880
<v Speaker 18>get into it because I knew I wasn't talking to

1:11:36.320 --> 1:11:38.720
<v Speaker 18>a person. But I also think it's really important to

1:11:39.160 --> 1:11:42.360
<v Speaker 18>not think of it as an either or situation. Like

1:11:42.439 --> 1:11:45.080
<v Speaker 18>it's not like you might one day have a human

1:11:45.200 --> 1:11:49.160
<v Speaker 18>therapist or a robotherapist. It's possible this could be used

1:11:49.200 --> 1:11:51.960
<v Speaker 18>as Margaret Mitchell at hucking Face said, perhaps it could

1:11:51.960 --> 1:11:54.160
<v Speaker 18>be used to help train people that answer phones for

1:11:54.320 --> 1:11:58.240
<v Speaker 18>crisis lines that could help them to help more people

1:11:58.600 --> 1:12:00.679
<v Speaker 18>at a time. And those kinds of people are vital

1:12:00.840 --> 1:12:03.120
<v Speaker 18>and you could totally use more of them. This could

1:12:03.120 --> 1:12:05.519
<v Speaker 18>be a way to make them more able to help people,

1:12:05.720 --> 1:12:06.639
<v Speaker 18>which I thought was kind of cool.

1:12:06.880 --> 1:12:09.519
<v Speaker 8>It feels like the there's like some empathy.

1:12:09.640 --> 1:12:11.439
<v Speaker 4>It's like built into this of like I know what

1:12:11.520 --> 1:12:13.680
<v Speaker 4>you're going through, Like there's got to be like a

1:12:14.000 --> 1:12:17.680
<v Speaker 4>chat GBT training course and in terms of just like

1:12:17.840 --> 1:12:21.360
<v Speaker 4>making sure people feel like they're being heard, right, But so,

1:12:21.439 --> 1:12:23.479
<v Speaker 4>what did you hear from the people that you spoke to,

1:12:23.640 --> 1:12:26.559
<v Speaker 4>and like what led them to hear and are they

1:12:26.680 --> 1:12:30.040
<v Speaker 4>doing it instead of humans or in addition to real

1:12:30.160 --> 1:12:31.600
<v Speaker 4>therapy not instead.

1:12:31.240 --> 1:12:34.120
<v Speaker 18>Of One of the people that I spoke to, Milo

1:12:34.720 --> 1:12:37.320
<v Speaker 18>has a therapist, happened to miss the therapy appointment and

1:12:37.640 --> 1:12:40.799
<v Speaker 18>had seen somebody on Twitter saying it was really helpful

1:12:40.840 --> 1:12:43.000
<v Speaker 18>to them, and Milo was like, Hey, I'll just give

1:12:43.040 --> 1:12:45.960
<v Speaker 18>this a try, and then found it really helpful and

1:12:46.280 --> 1:12:50.280
<v Speaker 18>has used it repeatedly since then. Not everybody will feel

1:12:50.280 --> 1:12:51.840
<v Speaker 18>that way, Obviously, I loved your.

1:12:51.760 --> 1:12:53.439
<v Speaker 3>Story that you talked to us tell us about that

1:12:53.479 --> 1:12:55.760
<v Speaker 3>one of the earliest chatbots, Eliza, Right, So this takes

1:12:55.840 --> 1:12:57.320
<v Speaker 3>us back to what the nineteen sixties.

1:12:57.760 --> 1:12:58.400
<v Speaker 8>This was new to me.

1:12:58.479 --> 1:12:59.120
<v Speaker 1>I did not have this.

1:12:59.280 --> 1:12:59.640
<v Speaker 12>I didn't know.

1:13:00.160 --> 1:13:05.240
<v Speaker 18>So Eliza was a supposed to mimic like a Rogerian

1:13:05.600 --> 1:13:09.600
<v Speaker 18>style therapy, which is like, I guess, very like self reflective.

1:13:09.840 --> 1:13:11.519
<v Speaker 3>You know, why do you think that?

1:13:11.720 --> 1:13:15.360
<v Speaker 18>Or you know those kinds of like reflective questions. That

1:13:15.520 --> 1:13:19.519
<v Speaker 18>was a much much simpler style of chatbot, which you

1:13:19.560 --> 1:13:23.320
<v Speaker 18>would you would say something and it would be looking

1:13:23.360 --> 1:13:25.160
<v Speaker 18>at or you would type something in that case, and

1:13:25.400 --> 1:13:28.120
<v Speaker 18>it would be looking specifically for keywords that could be

1:13:28.200 --> 1:13:31.440
<v Speaker 18>tied to certain types of answers.

1:13:31.880 --> 1:13:33.800
<v Speaker 3>You know what makes me That's the other thing. Like

1:13:34.040 --> 1:13:36.240
<v Speaker 3>nineteen sixties, we keep thinking of this chatbot is kind

1:13:36.240 --> 1:13:38.799
<v Speaker 3>of this whole big new thing, and I keep googling

1:13:38.880 --> 1:13:41.720
<v Speaker 3>and trying like origins of artificial intelligence, like I want

1:13:41.760 --> 1:13:44.120
<v Speaker 3>to know more because I'm trying to Rachel get my

1:13:44.160 --> 1:13:45.760
<v Speaker 3>head around, like why all of a sudden are we

1:13:45.880 --> 1:13:49.360
<v Speaker 3>just this is such an explosion, right, because it doesn't

1:13:49.400 --> 1:13:50.760
<v Speaker 3>sound like it's totally new.

1:13:50.960 --> 1:13:53.680
<v Speaker 18>It's not new. I think some of what's new is

1:13:54.120 --> 1:13:56.800
<v Speaker 18>the style. You can think of AI as having like

1:13:56.880 --> 1:13:59.679
<v Speaker 18>different kinds of architecture. I think of it. An architecture

1:13:59.760 --> 1:14:01.280
<v Speaker 18>is a word you'll see a lot in a lot

1:14:01.320 --> 1:14:04.559
<v Speaker 18>of academic papers. So architecture with buildings, there's all different

1:14:04.600 --> 1:14:07.439
<v Speaker 18>kinds of buildings, right. Similarly, in AI, you have different

1:14:07.479 --> 1:14:11.200
<v Speaker 18>styles of putting these AI systems together, and this generative

1:14:12.000 --> 1:14:15.439
<v Speaker 18>style is newer and being able to do that is

1:14:15.720 --> 1:14:18.280
<v Speaker 18>a newer thing, and it gets us closer to it

1:14:18.360 --> 1:14:21.479
<v Speaker 18>makes it makes these systems better at mimicking human speech,

1:14:21.920 --> 1:14:24.439
<v Speaker 18>but it doesn't it's not actually, you know, it isn't

1:14:24.520 --> 1:14:28.080
<v Speaker 18>human in any way. It's essentially using math in a

1:14:28.160 --> 1:14:31.599
<v Speaker 18>way that gets you to look at the answer and say, oh,

1:14:32.120 --> 1:14:34.040
<v Speaker 18>you know, that looks like something a person could say.

1:14:34.000 --> 1:14:34.479
<v Speaker 8>Kind of close.

1:14:34.600 --> 1:14:36.920
<v Speaker 13>Yeah, man, that's the creepy part of it.

1:14:37.280 --> 1:14:40.000
<v Speaker 4>Another thing that I learned in this story is that

1:14:40.120 --> 1:14:44.160
<v Speaker 4>there are chatbots that focus on mental health, yes, as

1:14:44.200 --> 1:14:48.640
<v Speaker 4>opposed to chat gibt that can can do whatever it does, right,

1:14:48.760 --> 1:14:52.960
<v Speaker 4>but so robot wisa, what are those and what are

1:14:52.960 --> 1:14:53.280
<v Speaker 4>they doing?

1:14:53.880 --> 1:14:56.960
<v Speaker 18>Those do exist, They've been out for a while in

1:14:57.080 --> 1:15:01.360
<v Speaker 18>this space, and people can pay for them, and that

1:15:01.560 --> 1:15:05.720
<v Speaker 18>those can potentially also be helpful to people. So so

1:15:05.840 --> 1:15:08.120
<v Speaker 18>it is kind of interesting, right that those things already exist,

1:15:08.240 --> 1:15:10.240
<v Speaker 18>but people are saying, let me try this. I mean,

1:15:10.320 --> 1:15:13.240
<v Speaker 18>this is very easy to access. It's exciting in many

1:15:13.280 --> 1:15:16.040
<v Speaker 18>ways because it's new. So I think it's going to

1:15:16.040 --> 1:15:18.360
<v Speaker 18>be like a lot of different applications of chatchept where

1:15:18.360 --> 1:15:21.200
<v Speaker 18>we kind of have to see how the dust settles

1:15:21.400 --> 1:15:23.880
<v Speaker 18>and if people actually are using it for this and

1:15:23.960 --> 1:15:24.400
<v Speaker 18>other things.

1:15:25.160 --> 1:15:27.240
<v Speaker 17>Carol brought up the nineteen sixties. It made me also

1:15:27.280 --> 1:15:30.160
<v Speaker 17>think of in the nineteen nineties with ask Jeeves, which

1:15:30.240 --> 1:15:33.080
<v Speaker 17>was obviously right, people kind of forget about that, but

1:15:33.120 --> 1:15:36.000
<v Speaker 17>it was sort of this whole forget about people don't

1:15:36.040 --> 1:15:39.719
<v Speaker 17>forget about Jeeves. But interesting during these other time periods

1:15:39.720 --> 1:15:42.000
<v Speaker 17>where we've seen different things like this, when we think

1:15:42.040 --> 1:15:44.840
<v Speaker 17>this is like something very new but interesting that we've

1:15:45.000 --> 1:15:48.160
<v Speaker 17>kind of had different irradiations in a way and in

1:15:48.160 --> 1:15:48.599
<v Speaker 17>the past.

1:15:49.040 --> 1:15:52.519
<v Speaker 18>Yeah, I mean, I think people like to personalize and

1:15:52.840 --> 1:15:58.479
<v Speaker 18>anthropomorphize technology, and sometimes sometimes that could be totally fine.

1:15:59.320 --> 1:16:02.280
<v Speaker 18>Sometimes that can go a little bit awry, like Rumba

1:16:02.400 --> 1:16:05.679
<v Speaker 18>for instance, like people treat them a little bit like pets, perhaps,

1:16:05.800 --> 1:16:09.959
<v Speaker 18>you know, and that's obviously it is a pet stuck.

1:16:13.200 --> 1:16:13.960
<v Speaker 12>Part of the family.

1:16:14.479 --> 1:16:16.760
<v Speaker 13>Hey, I have one that has a name, so you

1:16:16.840 --> 1:16:17.599
<v Speaker 13>we're not all crazy.

1:16:18.000 --> 1:16:20.519
<v Speaker 3>No, but it is interesting about you know this, I

1:16:20.720 --> 1:16:24.040
<v Speaker 3>am curious how effective or what are the medical community,

1:16:24.120 --> 1:16:26.240
<v Speaker 3>like are people weighing in about because I just think

1:16:26.240 --> 1:16:30.120
<v Speaker 3>about there's some very serious illnesses out there, and I'm

1:16:30.160 --> 1:16:32.920
<v Speaker 3>just wondering ken a chat GPT pick up some of

1:16:32.960 --> 1:16:35.720
<v Speaker 3>the nuances of somebody who obviously needs some serious help.

1:16:36.280 --> 1:16:40.600
<v Speaker 18>I talked to a professor who is also a clinical psychologist.

1:16:41.760 --> 1:16:45.200
<v Speaker 18>He can he can imagine a future in which this

1:16:45.439 --> 1:16:49.519
<v Speaker 18>might be useful for helping people along with human therapy

1:16:50.600 --> 1:16:53.320
<v Speaker 18>right now. He was like, no, no, like this. You know,

1:16:53.439 --> 1:16:56.679
<v Speaker 18>this is not for somebody who's got a serious mental

1:16:56.760 --> 1:16:59.600
<v Speaker 18>health condition. This is not the way to go like

1:17:00.080 --> 1:17:02.000
<v Speaker 18>so low. But he also but at the same time,

1:17:02.640 --> 1:17:06.679
<v Speaker 18>he was saying that he could understand why people would

1:17:06.760 --> 1:17:09.479
<v Speaker 18>find it helpful to talk to or at least or pleasant.

1:17:09.479 --> 1:17:13.719
<v Speaker 18>I can't remember exactly what He's right potentially well, unless

1:17:14.200 --> 1:17:16.080
<v Speaker 18>I mean, it depends. If you want to talk to

1:17:17.360 --> 1:17:19.479
<v Speaker 18>a chatbot like GPT four, you're gonna have to pay

1:17:19.520 --> 1:17:19.680
<v Speaker 18>for it.

1:17:19.840 --> 1:17:27.760
<v Speaker 4>That's true, right, business, So you only curious about some

1:17:27.880 --> 1:17:31.920
<v Speaker 4>of the privacy implications here, because I would think if

1:17:31.960 --> 1:17:34.760
<v Speaker 4>I were letting my chatbot talk to people, I'd want

1:17:34.800 --> 1:17:37.479
<v Speaker 4>to know how that chatbot was doing in a situation

1:17:37.680 --> 1:17:37.840
<v Speaker 4>like this.

1:17:38.200 --> 1:17:40.920
<v Speaker 8>And and also you know, obviously that opens up a.

1:17:40.960 --> 1:17:43.560
<v Speaker 4>Can of worms for what the privacy implications looks like

1:17:43.640 --> 1:17:44.720
<v Speaker 4>on the AI front as well.

1:17:44.800 --> 1:17:47.360
<v Speaker 8>So has anybody been talking about her looking into any

1:17:47.400 --> 1:17:47.560
<v Speaker 8>of that?

1:17:48.120 --> 1:17:50.400
<v Speaker 18>Yeah, I mean I think that one of the people

1:17:50.439 --> 1:17:53.439
<v Speaker 18>I spoke with, Margaret Mitchell also, she's from Hugging Face.

1:17:54.280 --> 1:17:56.200
<v Speaker 18>That was something that she mentioned to me. And it's

1:17:56.240 --> 1:17:59.160
<v Speaker 18>something that as like as a reporter, but also as

1:17:59.320 --> 1:18:01.120
<v Speaker 18>a human who likes to use a lot of different

1:18:01.160 --> 1:18:04.200
<v Speaker 18>technology products. I also think about a lot. When I

1:18:04.400 --> 1:18:08.400
<v Speaker 18>use chat GPT myself, I try to avoid giving it

1:18:08.560 --> 1:18:12.760
<v Speaker 18>any kinds of personally identifying information. And I think I've

1:18:12.800 --> 1:18:15.720
<v Speaker 18>told many people the same. I just I don't feel

1:18:15.720 --> 1:18:19.680
<v Speaker 18>comfortable doing that. I know that open ai reviews users conversations.

1:18:21.040 --> 1:18:22.960
<v Speaker 18>You can delete your account if you don't want them

1:18:23.000 --> 1:18:24.360
<v Speaker 18>to have your data, but that can take up to

1:18:24.400 --> 1:18:26.160
<v Speaker 18>four weeks according to their terms of service.

1:18:26.240 --> 1:18:28.400
<v Speaker 3>Doesn't this feel like all the tech CEOs are like, Yeah, no,

1:18:28.520 --> 1:18:31.880
<v Speaker 3>my kids, I don't want them play with computers. Rachel

1:18:31.880 --> 1:18:34.880
<v Speaker 3>says that, yeah, I don't do this. What's interesting too

1:18:34.960 --> 1:18:37.320
<v Speaker 3>though in terms of data though, right, because if you

1:18:37.400 --> 1:18:41.240
<v Speaker 3>put anything personal down there, that's how this all works, right,

1:18:41.600 --> 1:18:44.240
<v Speaker 3>uses the data to kind of get smarter and smarter

1:18:44.320 --> 1:18:44.800
<v Speaker 3>if you will.

1:18:45.320 --> 1:18:49.760
<v Speaker 18>Yeah, your data is helping could help train future iterations

1:18:49.800 --> 1:18:49.960
<v Speaker 18>of this.

1:18:50.160 --> 1:18:51.760
<v Speaker 3>Sure, so you have to remember it's in there.

1:18:53.479 --> 1:18:57.000
<v Speaker 13>It's sticky, sticky chats, you could describe it.

1:18:57.040 --> 1:18:59.240
<v Speaker 18>I actually did use it myself, like a week ago

1:18:59.400 --> 1:19:02.360
<v Speaker 18>to I haven't told anyone in my family this. I

1:19:02.479 --> 1:19:06.360
<v Speaker 18>used it to to sort of talk through an argument,

1:19:07.160 --> 1:19:10.320
<v Speaker 18>and I didn't give it any personally identifying details. I

1:19:10.360 --> 1:19:12.000
<v Speaker 18>feel like you can if you spend a minute thinking

1:19:12.040 --> 1:19:12.519
<v Speaker 18>about it, you.

1:19:12.560 --> 1:19:14.280
<v Speaker 13>Can totally do that.

1:19:14.479 --> 1:19:15.280
<v Speaker 3>Or is it helpful?

1:19:16.439 --> 1:19:16.639
<v Speaker 2>Yeah?

1:19:16.680 --> 1:19:17.360
<v Speaker 13>Actually it was.

1:19:17.760 --> 1:19:19.680
<v Speaker 4>I mean in the way that can I help you

1:19:19.720 --> 1:19:20.800
<v Speaker 4>reason with a seven year old?

1:19:21.320 --> 1:19:24.240
<v Speaker 13>No, I haven't tried it with anything about my kids.

1:19:24.320 --> 1:19:25.600
<v Speaker 3>That's like you write it in and then like you

1:19:25.640 --> 1:19:26.479
<v Speaker 3>don't get a response.

1:19:27.840 --> 1:19:29.200
<v Speaker 13>We don't have enough data on that's.

1:19:29.320 --> 1:19:31.680
<v Speaker 18>Yeah, it was helpful to be reflective, But you know what,

1:19:31.840 --> 1:19:34.400
<v Speaker 18>Eliza might have been able to be similarly help me

1:19:34.479 --> 1:19:35.599
<v Speaker 18>be similarly reflective.

1:19:35.600 --> 1:19:36.519
<v Speaker 4>I don't know, right.

1:19:38.880 --> 1:19:40.519
<v Speaker 8>When the answer is when did you go let it down?

1:19:40.920 --> 1:19:41.080
<v Speaker 7>Yeah?

1:19:41.640 --> 1:19:42.360
<v Speaker 8>Why do you think that?

1:19:43.360 --> 1:19:44.760
<v Speaker 3>You know, I have to I feel like this has

1:19:44.800 --> 1:19:46.720
<v Speaker 3>been an interesting week. There are sixty minutes to another

1:19:46.800 --> 1:19:48.720
<v Speaker 3>couple of pieces, and they were really leaning into and

1:19:48.760 --> 1:19:52.320
<v Speaker 3>obviously talking to the head of Alphabet, Sundar Pichai about what.

1:19:52.400 --> 1:19:53.000
<v Speaker 13>They are doing.

1:19:53.479 --> 1:19:55.880
<v Speaker 3>And it's interesting, Like on Twitter, I was getting you know,

1:19:55.920 --> 1:19:57.599
<v Speaker 3>I put out those pieces and people are like, wait,

1:19:57.760 --> 1:19:59.559
<v Speaker 3>you know, everybody's like, oh my god, it's the end

1:19:59.560 --> 1:20:01.960
<v Speaker 3>of the world. Well, how do you, as somebody who

1:20:02.120 --> 1:20:04.160
<v Speaker 3>is obviously in a whole other plane when it comes

1:20:04.200 --> 1:20:06.519
<v Speaker 3>to AI understanding talking to the voices who are in it,

1:20:06.960 --> 1:20:09.120
<v Speaker 3>how do you see it? Because it does feel like

1:20:09.160 --> 1:20:11.599
<v Speaker 3>headlines are coming at as fast and furiously, whether it's

1:20:11.640 --> 1:20:13.360
<v Speaker 3>on therapy, whether it's on something else.

1:20:14.000 --> 1:20:18.599
<v Speaker 18>I try to remember to take a deep breath and like, honestly,

1:20:18.720 --> 1:20:22.000
<v Speaker 18>like just kind of okay, and let's kind of look

1:20:22.040 --> 1:20:25.320
<v Speaker 18>at the reality of what these things can do. On

1:20:25.439 --> 1:20:29.320
<v Speaker 18>the one hand, we have AI systems that are increasingly

1:20:29.520 --> 1:20:33.120
<v Speaker 18>powerful and can do some really interesting things, or perhaps

1:20:33.320 --> 1:20:35.280
<v Speaker 18>in the near future, could do some really interesting things.

1:20:36.160 --> 1:20:39.479
<v Speaker 18>Various cool medical applications like helping detect certain kinds of cancer.

1:20:40.400 --> 1:20:43.120
<v Speaker 18>Things like that I think many people can agree are great.

1:20:43.800 --> 1:20:45.200
<v Speaker 18>On the other hand, there's a lot of things we

1:20:45.360 --> 1:20:47.559
<v Speaker 18>need to keep an eye out for and some harms

1:20:47.560 --> 1:20:51.439
<v Speaker 18>that are already here. I don't think that this is

1:20:52.400 --> 1:20:55.480
<v Speaker 18>agi artificial general intelligence.

1:20:55.640 --> 1:20:56.320
<v Speaker 13>We are not there.

1:20:57.240 --> 1:20:59.400
<v Speaker 18>And also a lot of these things aren't an inevitability.

1:20:59.439 --> 1:21:01.439
<v Speaker 3>I think we have to or official general intelligence, like

1:21:01.520 --> 1:21:04.519
<v Speaker 3>creating up stuff like creating another Jeel, creating another me

1:21:04.680 --> 1:21:04.960
<v Speaker 3>kind of thing.

1:21:05.040 --> 1:21:05.759
<v Speaker 18>No, that's not happening.

1:21:05.800 --> 1:21:08.760
<v Speaker 3>Okay, that's okay, Okay, No.

1:21:08.840 --> 1:21:10.240
<v Speaker 18>I think I think a lot of it is trying

1:21:10.240 --> 1:21:13.679
<v Speaker 18>to keep into respective where are we which is still

1:21:13.760 --> 1:21:16.759
<v Speaker 18>this is still early days, even though AI in various

1:21:16.840 --> 1:21:18.799
<v Speaker 18>forms has existed for many decades.

1:21:18.840 --> 1:21:22.960
<v Speaker 4>At this point, where else are you interested in watching

1:21:23.720 --> 1:21:27.719
<v Speaker 4>chet GBT go into and sort of you know, maybe

1:21:27.800 --> 1:21:30.479
<v Speaker 4>let's say disrupt That word.

1:21:31.000 --> 1:21:34.360
<v Speaker 18>Disrupt interesting, I mean it has it has a bit

1:21:34.520 --> 1:21:39.479
<v Speaker 18>of a honesty problem. We we need systems like this

1:21:39.760 --> 1:21:42.400
<v Speaker 18>that can be a little bit more reliable as far

1:21:42.640 --> 1:21:45.920
<v Speaker 18>as you ask it a question and you get an

1:21:45.920 --> 1:21:47.880
<v Speaker 18>answer that you then don't have to spend a really

1:21:47.960 --> 1:21:51.719
<v Speaker 18>long time like confirming checking yeah, And that gets harder

1:21:51.800 --> 1:21:54.400
<v Speaker 18>as if you're wanting right, Yeah, well yeah, if you're googling,

1:21:54.520 --> 1:21:56.880
<v Speaker 18>and if you're asking a complicated question, you might have

1:21:56.920 --> 1:21:59.040
<v Speaker 18>a whole bunch of different things. Then that you're like, okay.

1:21:59.280 --> 1:22:00.960
<v Speaker 18>If you're asking it for like a list of things,

1:22:01.000 --> 1:22:02.360
<v Speaker 18>for instance, then you're like, okay, I have to run

1:22:02.400 --> 1:22:04.200
<v Speaker 18>down everything on this list to make sure you know

1:22:04.320 --> 1:22:08.599
<v Speaker 18>it's all accurate. So if we can get in that direction,

1:22:08.800 --> 1:22:12.559
<v Speaker 18>I think it could be really interesting for maybe there's

1:22:12.600 --> 1:22:14.440
<v Speaker 18>some interesting finance applications.

1:22:14.920 --> 1:22:15.800
<v Speaker 8>I love that it lies.

1:22:16.640 --> 1:22:18.439
<v Speaker 13>It's sometimes that's useful, though, you.

1:22:21.120 --> 1:22:26.000
<v Speaker 18>Are I am just a simple as.

1:22:27.880 --> 1:22:30.240
<v Speaker 3>It's a fascinating world and we are all obsessed with

1:22:30.400 --> 1:22:32.760
<v Speaker 3>it and obsessed with you and really your take on

1:22:32.880 --> 1:22:35.240
<v Speaker 3>it and reporting. So thank you so much. Rachel Metz.

1:22:35.439 --> 1:22:38.080
<v Speaker 3>She's aar reporter here at Bloomberg News in our interactive

1:22:38.120 --> 1:22:40.760
<v Speaker 3>Brokers studio along with the editor of Bloomberg Business Week,

1:22:40.840 --> 1:22:44.519
<v Speaker 3>Jill Weber. This story talk therapy, entering the era of chatbots.

1:22:44.560 --> 1:22:46.519
<v Speaker 3>It's going to be the new issue of Bloomberg Business Week,

1:22:46.840 --> 1:22:49.880
<v Speaker 3>add on newsstands, online already at Bloomberg dot Cossage business

1:22:49.920 --> 1:22:52.840
<v Speaker 3>Week and of course on the Bloomberg terminal. Check it out.

1:22:53.160 --> 1:22:54.200
<v Speaker 3>This is Bloomberg.

1:22:58.560 --> 1:23:02.080
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1:23:02.160 --> 1:23:05.800
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1:23:06.040 --> 1:23:08.880
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1:23:09.000 --> 1:23:12.280
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1:23:12.439 --> 1:23:14.840
<v Speaker 1>Alexa play Bloomberg eleven thirty.

1:23:16.680 --> 1:23:19.000
<v Speaker 3>I'm Carol Master, along with Madison Mills, who's in for

1:23:19.160 --> 1:23:21.679
<v Speaker 3>Tim Well. A new issue of Bloomberg Business Week is out,

1:23:21.840 --> 1:23:25.080
<v Speaker 3>so too, of course, is the Pursuit section, devoted to

1:23:25.160 --> 1:23:28.640
<v Speaker 3>all things that can bring us bliss, like burnout retreats.

1:23:28.320 --> 1:23:30.720
<v Speaker 9>And also the best cameras to use for all of

1:23:30.840 --> 1:23:34.960
<v Speaker 9>us would be influencers, and New York's most exclusive new restaurant,

1:23:35.000 --> 1:23:37.320
<v Speaker 9>Amex's Black Card members only club.

1:23:37.360 --> 1:23:39.320
<v Speaker 3>Weeah, good luck getting in unless you have a black cart.

1:23:39.400 --> 1:23:39.680
<v Speaker 14>All right.

1:23:39.720 --> 1:23:42.120
<v Speaker 3>The Pursuit section and team, led by the editor Pursuits

1:23:42.200 --> 1:23:44.760
<v Speaker 3>Chris Rouser. All right, Chris, let's get to the opener though,

1:23:44.800 --> 1:23:48.320
<v Speaker 3>of the section. Burnout retreats apparently the hot new thing,

1:23:48.520 --> 1:23:51.120
<v Speaker 3>and Maddy and I were like reading through this and saying, yeah.

1:23:50.960 --> 1:23:51.240
<v Speaker 8>Let's go.

1:23:52.000 --> 1:23:52.200
<v Speaker 19>Yeah.

1:23:52.439 --> 1:23:56.280
<v Speaker 20>So the trend here is that really high end spas

1:23:56.520 --> 1:24:00.559
<v Speaker 20>and rehab clinics are now hosting treatments just for burnout,

1:24:00.600 --> 1:24:03.439
<v Speaker 20>which is when you're at your wits end with work,

1:24:03.520 --> 1:24:06.519
<v Speaker 20>cortisol levels in your body are really high. It's beginning

1:24:06.560 --> 1:24:07.439
<v Speaker 20>to affect your health.

1:24:07.520 --> 1:24:10.040
<v Speaker 3>It's an actual science thing, right, like medical thing.

1:24:10.600 --> 1:24:14.360
<v Speaker 20>And people since the pandemic started, people have been complaining

1:24:14.400 --> 1:24:16.280
<v Speaker 20>about it a lot more and a lot of these

1:24:16.320 --> 1:24:19.360
<v Speaker 20>are expensive. So you know, more than three quarters of

1:24:19.400 --> 1:24:22.240
<v Speaker 20>white collar workers told Deloitte last March they were suffering

1:24:22.280 --> 1:24:25.240
<v Speaker 20>from burnout and have said they regularly felt physical and

1:24:25.320 --> 1:24:29.320
<v Speaker 20>mentally exhausted. And fifty nine percent of Americans overall have

1:24:29.439 --> 1:24:32.240
<v Speaker 20>feelings of burnout, because let's be honest, we all feel burnout.

1:24:33.160 --> 1:24:35.920
<v Speaker 3>And yeah, you know, raise your hands if you're a

1:24:36.080 --> 1:24:37.320
<v Speaker 3>burned out brands up here.

1:24:37.400 --> 1:24:40.000
<v Speaker 20>Yeah, and so there are. You know, these spas and

1:24:40.080 --> 1:24:43.200
<v Speaker 20>places are sort of taking after the like drug and

1:24:43.240 --> 1:24:45.880
<v Speaker 20>alcohol rehab programs, which is like you need to unplug

1:24:45.920 --> 1:24:47.680
<v Speaker 20>from your life completely. You need to stop, we need

1:24:47.800 --> 1:24:50.439
<v Speaker 20>to do some medical treatment. You need to basically have

1:24:50.520 --> 1:24:51.640
<v Speaker 20>someone tell you what to do all day so you

1:24:51.680 --> 1:24:53.280
<v Speaker 20>don't have to make any decisions and you can really

1:24:53.320 --> 1:24:53.960
<v Speaker 20>take time off.

1:24:54.600 --> 1:24:56.559
<v Speaker 3>So it's more than a spot. It's not about getting

1:24:56.560 --> 1:24:57.400
<v Speaker 3>a massage right.

1:24:57.520 --> 1:24:59.640
<v Speaker 20>Right, No, it's it's definitely a lot more. There's a

1:24:59.680 --> 1:25:03.759
<v Speaker 20>lot of medical treatments, a lot of Eastern medicine treatments

1:25:03.960 --> 1:25:06.760
<v Speaker 20>and and and some of them are in very nice

1:25:06.800 --> 1:25:09.160
<v Speaker 20>places if you can afford it, like the Four Seasons

1:25:09.800 --> 1:25:10.200
<v Speaker 20>sense A.

1:25:11.840 --> 1:25:12.479
<v Speaker 1>In Hawaii.

1:25:13.560 --> 1:25:15.479
<v Speaker 3>You're talking about Larry Ellison's by.

1:25:15.479 --> 1:25:18.120
<v Speaker 20>Larry's Allison's Island exactly, and you can there, you can

1:25:18.200 --> 1:25:22.080
<v Speaker 20>do a thirty day sabbatical package, which is just like

1:25:22.200 --> 1:25:24.400
<v Speaker 20>it's a mega month of They start off with a

1:25:24.439 --> 1:25:29.200
<v Speaker 20>thermographic scan to find asymmetries, muscle stress pain points, and

1:25:29.280 --> 1:25:31.080
<v Speaker 20>then they go from there and it costs twenty five

1:25:31.080 --> 1:25:32.160
<v Speaker 20>thousand dollars for a month.

1:25:32.720 --> 1:25:34.760
<v Speaker 3>It is for a month. Come on, that's really that's

1:25:34.800 --> 1:25:35.000
<v Speaker 3>a lot.

1:25:35.120 --> 1:25:38.559
<v Speaker 9>Yeah, what's the best one that we could afford?

1:25:39.400 --> 1:25:41.920
<v Speaker 20>Yeah, that's an interesting question. I mean, so one of

1:25:42.000 --> 1:25:44.880
<v Speaker 20>the things about like being like, Okay, you're burned out,

1:25:44.920 --> 1:25:47.080
<v Speaker 20>you need to do a burnout retreat. It's an extreme

1:25:47.200 --> 1:25:49.920
<v Speaker 20>luxury even to be able, Yeah, to like check out

1:25:50.040 --> 1:25:52.240
<v Speaker 20>for a week, let alone a month, which is like

1:25:52.280 --> 1:25:54.280
<v Speaker 20>who can honestly, who can do that? That's like a

1:25:54.360 --> 1:25:57.960
<v Speaker 20>real luxury. At the Raffles in London, They have a

1:25:58.080 --> 1:26:00.240
<v Speaker 20>training program where it's almost kind of like a check

1:26:00.280 --> 1:26:01.920
<v Speaker 20>in every day or once a week with a trainer

1:26:02.760 --> 1:26:05.880
<v Speaker 20>who you go in, they do some tests, they tell you,

1:26:05.880 --> 1:26:08.760
<v Speaker 20>you know, what workout to do, or even maybe okay,

1:26:08.800 --> 1:26:10.599
<v Speaker 20>you know you're really stressed out today, don't work out,

1:26:10.680 --> 1:26:13.280
<v Speaker 20>that's just going to add to your your cortisol levels.

1:26:13.680 --> 1:26:16.360
<v Speaker 20>Let's do some mindfulness, let's do some other treatments. Let's

1:26:16.479 --> 1:26:19.320
<v Speaker 20>let's do what you need right now. And getting these

1:26:19.400 --> 1:26:21.840
<v Speaker 20>practices into your life going forward is really how you're

1:26:21.880 --> 1:26:24.360
<v Speaker 20>going to fix burnout. Like everybody, Studies show that, like

1:26:24.439 --> 1:26:26.240
<v Speaker 20>a vacation is great, but then when you get back

1:26:26.280 --> 1:26:28.200
<v Speaker 20>from the vacation, within three weeks, you're back to where

1:26:28.200 --> 1:26:30.479
<v Speaker 20>you were before. And a lot of these places are

1:26:30.520 --> 1:26:34.120
<v Speaker 20>going to teach you mindfulness techniques. Also, you know, there's

1:26:34.160 --> 1:26:36.479
<v Speaker 20>life coaching to help you reorganize your life, figure out

1:26:36.479 --> 1:26:37.800
<v Speaker 20>how to get some of these things off your plate.

1:26:38.160 --> 1:26:38.400
<v Speaker 15>All that.

1:26:38.760 --> 1:26:40.920
<v Speaker 3>Yeah, I love that. There Also there's one place, I

1:26:40.920 --> 1:26:43.960
<v Speaker 3>guess looking into holding events on yachts in Croatia this fall.

1:26:44.400 --> 1:26:46.160
<v Speaker 20>Yeah, you know a lot of this is for white

1:26:46.200 --> 1:26:49.760
<v Speaker 20>collar wipe out of it can be some of it

1:26:49.880 --> 1:26:52.400
<v Speaker 20>can be used by you know anyone that a thing

1:26:52.439 --> 1:26:52.920
<v Speaker 20>white color.

1:26:53.200 --> 1:26:53.920
<v Speaker 1>We made it up.

1:26:54.040 --> 1:26:55.920
<v Speaker 20>It's a thing that we wanted, a T shirt.

1:26:55.960 --> 1:26:58.720
<v Speaker 3>I wanted t shirt. It's really fascinating. I have to

1:26:58.800 --> 1:27:00.600
<v Speaker 3>say this week on the Week in so we have

1:27:00.720 --> 1:27:03.120
<v Speaker 3>two segments these burnout retreats and then we have another

1:27:03.200 --> 1:27:06.760
<v Speaker 3>segment on microstresses. So yeah, I mean you can feel

1:27:06.800 --> 1:27:08.240
<v Speaker 3>it hear I feel like we hear it with all

1:27:08.320 --> 1:27:11.160
<v Speaker 3>of our colleagues constantly. Part of I think what's stressing

1:27:11.240 --> 1:27:12.960
<v Speaker 3>us out? Like where shall we go? Where shall we go?

1:27:13.120 --> 1:27:15.880
<v Speaker 3>The cameras influencers use. I think it's interesting that I

1:27:15.920 --> 1:27:18.719
<v Speaker 3>feel like there's this constant pressure on us to also

1:27:19.240 --> 1:27:21.080
<v Speaker 3>do things out on social media, but you do get

1:27:21.120 --> 1:27:23.160
<v Speaker 3>to the right cameras to use right.

1:27:23.280 --> 1:27:25.599
<v Speaker 20>Yes, there's a lot of pressure to make content, especially

1:27:25.640 --> 1:27:28.599
<v Speaker 20>among young people. And you know, one of the interesting

1:27:28.680 --> 1:27:32.400
<v Speaker 20>trends among younger people who are just who are on

1:27:32.479 --> 1:27:34.680
<v Speaker 20>social media or creating content is they want to use

1:27:34.760 --> 1:27:37.080
<v Speaker 20>kind of a camera that feels like analog. There's really

1:27:37.720 --> 1:27:41.599
<v Speaker 20>a wave of people buying cameras that have analog features.

1:27:41.640 --> 1:27:44.799
<v Speaker 20>So like a lens that you hold you can twist knobs, dials,

1:27:45.720 --> 1:27:48.120
<v Speaker 20>different lenses that you can exchange which takes a lot

1:27:48.160 --> 1:27:50.599
<v Speaker 20>of training for people who are just used to pointing

1:27:50.640 --> 1:27:53.240
<v Speaker 20>and clicking with the phone. But the Fujifilm X one

1:27:53.320 --> 1:27:55.640
<v Speaker 20>hundred V was sort of sort of blew up on

1:27:55.720 --> 1:27:58.320
<v Speaker 20>TikTok last November and the company had to stop on

1:27:58.560 --> 1:28:01.160
<v Speaker 20>orders because so many people wanted to get the camera

1:28:01.280 --> 1:28:04.040
<v Speaker 20>that the influencers were using. And it's it normally costs

1:28:04.080 --> 1:28:06.360
<v Speaker 20>like fourteen hundred dollars and now you have to get

1:28:06.400 --> 1:28:08.519
<v Speaker 20>it on the secondary market. It's like twice sixth mounts.

1:28:08.760 --> 1:28:11.920
<v Speaker 9>Everyone has one and they're bringing it out to like

1:28:12.120 --> 1:28:15.200
<v Speaker 9>the have you seen them out everybody? Seriously, all of

1:28:15.280 --> 1:28:17.200
<v Speaker 9>my friends have one. I'm such a loser for not

1:28:17.320 --> 1:28:19.400
<v Speaker 9>having one, Like I need to get on it, Chris.

1:28:19.680 --> 1:28:21.720
<v Speaker 3>But it is interesting with like I noticed with a

1:28:21.800 --> 1:28:24.040
<v Speaker 3>younger generation or like my daughter, like they all want

1:28:24.080 --> 1:28:26.519
<v Speaker 3>to go back to like older cameras or like the disposed,

1:28:26.600 --> 1:28:28.840
<v Speaker 3>Like it's just interesting, like they're off their phone.

1:28:28.960 --> 1:28:31.920
<v Speaker 20>That's true, and you know exactly, someone runs around a

1:28:31.920 --> 1:28:34.040
<v Speaker 20>party with a Polaroid and like everybody loves it. And

1:28:34.120 --> 1:28:36.080
<v Speaker 20>it also feels grown up to own a camera. It's

1:28:36.080 --> 1:28:38.920
<v Speaker 20>like a lot of times people's first adult purchase. But

1:28:39.160 --> 1:28:41.400
<v Speaker 20>Sony and some of the other cameras companies that make

1:28:41.439 --> 1:28:44.120
<v Speaker 20>these also say like it helps that they're cute, you

1:28:44.200 --> 1:28:48.880
<v Speaker 20>know the look. They're fun to like to carry around.

1:28:48.600 --> 1:28:50.400
<v Speaker 3>If you want to be grown up by an end table.

1:28:50.479 --> 1:28:52.200
<v Speaker 3>We don't have time for this story, but check it out.

1:28:52.760 --> 1:28:55.560
<v Speaker 20>Yes, the end table is the best supporting actor in

1:28:55.640 --> 1:28:58.800
<v Speaker 20>a room. Sometimes it's your favorite character. Don't forget about them.

1:28:58.880 --> 1:29:00.800
<v Speaker 3>There's one that actually looks like a character. Because we

1:29:00.920 --> 1:29:03.360
<v Speaker 3>have to get to this story about the American Express

1:29:03.439 --> 1:29:07.120
<v Speaker 3>is impossible to book a new clubhouse in New York City.

1:29:07.200 --> 1:29:09.559
<v Speaker 20>Tell us about it, so you know how. American Express

1:29:09.640 --> 1:29:11.960
<v Speaker 20>has the Centurion Card otherwise known as the Black Card,

1:29:11.960 --> 1:29:14.680
<v Speaker 20>which is an invitation only card. It's for a very

1:29:14.800 --> 1:29:19.200
<v Speaker 20>high spend annual spend fees. And they opened a restaurant

1:29:19.200 --> 1:29:21.479
<v Speaker 20>on the fifty fifth floor of one Vanderbilt Tower, which

1:29:21.520 --> 1:29:23.920
<v Speaker 20>is right by Grand Central, And it's a restaurant in

1:29:23.960 --> 1:29:27.840
<v Speaker 20>sort of lounge area and it's only accessible to Centurion

1:29:27.920 --> 1:29:30.720
<v Speaker 20>card holders and a small number of reservations that you

1:29:30.760 --> 1:29:33.519
<v Speaker 20>can get through Rezi, which is also owned by American Express.

1:29:34.439 --> 1:29:37.360
<v Speaker 20>The chef is Daniel ballude I rode the elevator up

1:29:37.360 --> 1:29:40.360
<v Speaker 20>with Daniel Ballud and you get to the fifty fifth

1:29:40.400 --> 1:29:45.439
<v Speaker 20>floor and the views are bananas. They're insane because there's

1:29:45.479 --> 1:29:47.200
<v Speaker 20>not a lot of restaurants in Midtown that are at

1:29:47.200 --> 1:29:48.439
<v Speaker 20>a high level. You can go to the top of

1:29:48.479 --> 1:29:50.160
<v Speaker 20>the rock, you can go to the Rainbow Room, and

1:29:50.280 --> 1:29:52.840
<v Speaker 20>that's sort of it. Like offices are that high. So

1:29:52.960 --> 1:29:54.960
<v Speaker 20>you're just not used to being like looking out the

1:29:55.040 --> 1:29:58.120
<v Speaker 20>window at the arches of the Chrysler Building like eye

1:29:58.200 --> 1:30:00.720
<v Speaker 20>to eye, and then you know, all way downtown and

1:30:00.760 --> 1:30:01.599
<v Speaker 20>then all the way.

1:30:01.520 --> 1:30:01.960
<v Speaker 1>Up the park.

1:30:02.360 --> 1:30:05.720
<v Speaker 20>So the food, the food is great, but really you're

1:30:05.800 --> 1:30:07.920
<v Speaker 20>you feel like you're in a really special place. And

1:30:08.520 --> 1:30:11.920
<v Speaker 20>it's been it's been full of cardholders like they've been.

1:30:12.040 --> 1:30:14.719
<v Speaker 20>They've been doing really well with reservations. We've been checking

1:30:14.760 --> 1:30:16.120
<v Speaker 20>to see if you can get in on Rezi and

1:30:16.240 --> 1:30:18.160
<v Speaker 20>we have not seen any tables, but they say you can.

1:30:18.400 --> 1:30:19.800
<v Speaker 3>I just want to know, did you wear a navy

1:30:19.920 --> 1:30:20.799
<v Speaker 3>or linen blazer?

1:30:22.320 --> 1:30:25.000
<v Speaker 20>So Nikki and Justin on our team went and when

1:30:25.000 --> 1:30:26.840
<v Speaker 20>they did the review that's in the section they went

1:30:26.880 --> 1:30:28.439
<v Speaker 20>before I did, and they were looking around and they

1:30:28.439 --> 1:30:30.280
<v Speaker 20>were like, wow, it's really like a lot of dudes

1:30:30.520 --> 1:30:34.479
<v Speaker 20>with expensive watches in like sort of electric blue suits. Okay,

1:30:34.720 --> 1:30:36.200
<v Speaker 20>when I went, I will say it was not it

1:30:36.320 --> 1:30:38.240
<v Speaker 20>was more. It was just a real mix of people.

1:30:38.479 --> 1:30:40.439
<v Speaker 20>It was definitely a mix of people who like work

1:30:40.439 --> 1:30:42.200
<v Speaker 20>hard for a living and then people who like don't

1:30:42.479 --> 1:30:45.800
<v Speaker 20>maybe don't work for a living. It was good, it

1:30:45.920 --> 1:30:48.320
<v Speaker 20>was great. I had a burger like a Waggu burger,

1:30:48.360 --> 1:30:50.680
<v Speaker 20>which was good. They did a Wagu tartar at the

1:30:50.720 --> 1:30:52.519
<v Speaker 20>table where they bring the cart and they mix it up,

1:30:52.560 --> 1:30:57.720
<v Speaker 20>which was There was this lobster pasta which was completely unbelievable. Yeah,

1:30:57.720 --> 1:30:59.920
<v Speaker 20>the food is in standing blue. It's like you can't miss.

1:31:00.040 --> 1:31:02.280
<v Speaker 3>What did it cost? And I know if you have

1:31:02.400 --> 1:31:02.720
<v Speaker 3>to ask.

1:31:02.800 --> 1:31:04.160
<v Speaker 8>It's like the use.

1:31:04.560 --> 1:31:06.720
<v Speaker 20>When they first opened, there were no prices on the menu,

1:31:06.800 --> 1:31:07.400
<v Speaker 20>but there were when.

1:31:07.320 --> 1:31:07.680
<v Speaker 1>I was there.

1:31:08.600 --> 1:31:10.880
<v Speaker 20>It wasn't crazy, Like the burger was twenty eight dollars,

1:31:10.960 --> 1:31:13.920
<v Speaker 20>which is not nothing, but for New York that's not bad.

1:31:14.040 --> 1:31:16.040
<v Speaker 20>And then they kind of went up to like fifty

1:31:16.080 --> 1:31:18.240
<v Speaker 20>sixty dollars for the entrees, and then at dinner it's

1:31:18.240 --> 1:31:20.400
<v Speaker 20>a price like a fixed price menu, and that it's

1:31:20.439 --> 1:31:21.000
<v Speaker 20>more expensive.

1:31:21.000 --> 1:31:23.800
<v Speaker 3>All right, do we have a spring nos? I know, Yeah,

1:31:23.840 --> 1:31:24.360
<v Speaker 3>what's what's up?

1:31:24.439 --> 1:31:25.639
<v Speaker 20>It was like getting into Fortnite.

1:31:26.320 --> 1:31:29.360
<v Speaker 3>I tell you, Daniel can probably get you away just

1:31:29.400 --> 1:31:32.679
<v Speaker 3>real quickly. Laser show. I love any like these equipment

1:31:32.720 --> 1:31:33.720
<v Speaker 3>that you can get home.

1:31:33.960 --> 1:31:37.400
<v Speaker 20>Well, the Lima laser is like the kind of laser

1:31:37.479 --> 1:31:39.880
<v Speaker 20>treatment that you would go to a dermatologist and get. Yeah,

1:31:40.439 --> 1:31:43.840
<v Speaker 20>and it it sparks regeneration and builds protein in your skin.

1:31:43.920 --> 1:31:49.240
<v Speaker 20>Basically cues your skin to like regenerate like from fresh

1:31:49.600 --> 1:31:52.400
<v Speaker 20>and Hannah Elliott, who you guys know, tested it out.

1:31:53.200 --> 1:31:55.679
<v Speaker 20>You use it every day for fifteen minutes, which is onerous.

1:31:56.960 --> 1:31:59.479
<v Speaker 20>Her skin looks incredible. Really, She and I are both

1:31:59.560 --> 1:32:01.800
<v Speaker 20>like skin people and we talk about it all the time.

1:32:02.240 --> 1:32:04.280
<v Speaker 20>And she lives in La She came back to New

1:32:04.360 --> 1:32:05.800
<v Speaker 20>York after a couple months of using this and I

1:32:05.920 --> 1:32:07.120
<v Speaker 20>was like, oh my god, Hannah.

1:32:06.840 --> 1:32:07.160
<v Speaker 1>This is it.

1:32:07.560 --> 1:32:08.880
<v Speaker 3>So are you using it now?

1:32:09.120 --> 1:32:12.760
<v Speaker 20>Well it's twenty seven hundred dollars so no, and you

1:32:12.760 --> 1:32:18.280
<v Speaker 20>already want the story. Hannah has the sample, but it's legit.

1:32:18.439 --> 1:32:20.920
<v Speaker 20>It really works, and needs to give it to loaned

1:32:21.439 --> 1:32:22.200
<v Speaker 20>around the office.

1:32:22.240 --> 1:32:23.640
<v Speaker 8>That's right, to be.

1:32:23.680 --> 1:32:27.280
<v Speaker 3>Fair, to be fair, another great section, So much fun, Chris,

1:32:27.320 --> 1:32:28.400
<v Speaker 3>Thank you, we really appreciate it.

1:32:28.560 --> 1:32:30.760
<v Speaker 9>Yeah, we feel like you have the coolest job in

1:32:30.800 --> 1:32:33.679
<v Speaker 9>the world. Chris, also known as the editor of Bloomberg

1:32:33.720 --> 1:32:34.840
<v Speaker 9>pursuits Chris Rouser.

1:32:35.560 --> 1:32:39.080
<v Speaker 1>You're listening to the Bloomberg Business Week Podcast. Catch us

1:32:39.160 --> 1:32:41.840
<v Speaker 1>live weekdays from two to five pm Eastern.

1:32:41.720 --> 1:32:45.040
<v Speaker 11>On Bloomberg Radio, the Bloomberg Business App, and you too.

1:32:45.320 --> 1:32:48.360
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1:32:48.920 --> 1:32:51.840
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1:32:53.360 --> 1:32:55.759
<v Speaker 3>It does seem like the stress is starting to ease,

1:32:56.600 --> 1:32:59.120
<v Speaker 3>certainly how investors see it based on what we are

1:32:59.160 --> 1:33:02.640
<v Speaker 3>getting from the big thanks and more importantly from those regionals.

1:33:02.760 --> 1:33:05.439
<v Speaker 3>And our next guest knows a lot about stress, writes

1:33:05.479 --> 1:33:08.799
<v Speaker 3>about it in a new book. Karen Dylan is editorial

1:33:08.840 --> 1:33:12.400
<v Speaker 3>director at the Family Business Advisory firm Banyan Global Family

1:33:12.479 --> 1:33:15.920
<v Speaker 3>Business Advisor's former editor of the Harvard Business Review. She's

1:33:15.960 --> 1:33:18.200
<v Speaker 3>got a new book out, The micro Stress Effect, How

1:33:18.240 --> 1:33:20.519
<v Speaker 3>little things pile up and become big problems, and what

1:33:20.640 --> 1:33:24.000
<v Speaker 3>to do about it. She is on Zoom in Boston. Karen,

1:33:24.000 --> 1:33:27.200
<v Speaker 3>I feel like it's a timely topic, considering the stress

1:33:27.240 --> 1:33:30.599
<v Speaker 3>that seems to come at investors on a daily basis.

1:33:31.120 --> 1:33:33.320
<v Speaker 3>Having said that, tell us about the book. What are

1:33:33.400 --> 1:33:36.480
<v Speaker 3>micro stresses and some of the research you did specifically

1:33:36.600 --> 1:33:38.519
<v Speaker 3>for to figure it out and what we can do

1:33:38.640 --> 1:33:39.200
<v Speaker 3>to manage it.

1:33:39.720 --> 1:33:41.080
<v Speaker 12>Sure, I'm glad to be here.

1:33:41.280 --> 1:33:43.519
<v Speaker 21>So even just listening to the pre evil before it

1:33:43.600 --> 1:33:45.960
<v Speaker 21>came on is stressful. There's no questions. We're all kind

1:33:45.960 --> 1:33:47.880
<v Speaker 21>of swimming in the sea of stress all the time.

1:33:48.240 --> 1:33:50.280
<v Speaker 21>But what we're talking about with our research is something

1:33:50.320 --> 1:33:52.679
<v Speaker 21>a little bit different that most of us don't notice.

1:33:52.720 --> 1:33:54.080
<v Speaker 12>We don't even know how to talk about it.

1:33:54.200 --> 1:33:56.479
<v Speaker 21>We know how to talk about stock market stress and

1:33:56.920 --> 1:33:58.760
<v Speaker 21>political stress and things like that, but we don't know

1:33:58.840 --> 1:34:02.080
<v Speaker 21>how to talk about what we ended up calling microstress.

1:34:02.520 --> 1:34:04.840
<v Speaker 12>And this is a particular thing that we observed in.

1:34:04.960 --> 1:34:08.759
<v Speaker 21>Research with high performers, where originally the research was intended

1:34:08.800 --> 1:34:10.439
<v Speaker 21>to look at what did they do better than the

1:34:10.479 --> 1:34:12.760
<v Speaker 21>rest of us, How do they work more effectively with

1:34:12.840 --> 1:34:16.320
<v Speaker 21>other people? How do they maintain their status as high performers?

1:34:16.640 --> 1:34:20.000
<v Speaker 21>And we interviewed three hundred men and women equal numbers

1:34:20.360 --> 1:34:23.320
<v Speaker 21>who were dubbed high performers by their organizations to try

1:34:23.360 --> 1:34:26.080
<v Speaker 21>to get at those best practices. And then early on

1:34:26.280 --> 1:34:28.640
<v Speaker 21>in our research we started to notice after a bit

1:34:28.720 --> 1:34:31.560
<v Speaker 21>of the veneer had gone off in the interview that

1:34:31.680 --> 1:34:34.640
<v Speaker 21>little by little became clear that even these high performers

1:34:34.880 --> 1:34:36.320
<v Speaker 21>were kind of barely hanging on.

1:34:36.560 --> 1:34:37.479
<v Speaker 12>They were swimming on.

1:34:37.560 --> 1:34:40.759
<v Speaker 21>What we ultimately called microstress, things that are so brief

1:34:40.880 --> 1:34:43.559
<v Speaker 21>and so invisible to us that we barely notice them.

1:34:43.880 --> 1:34:45.840
<v Speaker 12>What cumulatively they add up?

1:34:46.120 --> 1:34:48.519
<v Speaker 17>And what specifically, can you give us a few examples,

1:34:48.600 --> 1:34:50.479
<v Speaker 17>how does that sort of permeate in our day to

1:34:50.600 --> 1:34:52.880
<v Speaker 17>day lives? Like what specifically would be an example of

1:34:52.960 --> 1:34:53.720
<v Speaker 17>a microstress?

1:34:54.200 --> 1:34:56.040
<v Speaker 21>Sure, so we put them in three buckets, and I

1:34:56.080 --> 1:34:58.000
<v Speaker 21>think you'll relate to all three of them, but in

1:34:58.080 --> 1:35:01.840
<v Speaker 21>three categories. One or microstress is that drain your personal capacity,

1:35:02.120 --> 1:35:03.479
<v Speaker 21>your ability to get things done.

1:35:03.760 --> 1:35:05.640
<v Speaker 12>And a really good example of that is.

1:35:06.160 --> 1:35:09.360
<v Speaker 21>Having unpredictable behavior from a person in authority, a boss

1:35:09.439 --> 1:35:11.960
<v Speaker 21>or a manager, not a toxic boss or a jerk,

1:35:12.040 --> 1:35:14.360
<v Speaker 21>but maybe a boss who stops you in the hallway

1:35:14.479 --> 1:35:14.960
<v Speaker 21>to say.

1:35:14.840 --> 1:35:16.960
<v Speaker 12>He's got a new idea and are you supposed to

1:35:16.960 --> 1:35:18.920
<v Speaker 12>be pursuing that or not? Are you putting other things

1:35:18.920 --> 1:35:19.479
<v Speaker 12>aside or not?

1:35:19.680 --> 1:35:22.640
<v Speaker 21>Just not one hundred percent always knowing what's expected of

1:35:22.720 --> 1:35:26.200
<v Speaker 21>you from the person above, or having a surgeon responsibility

1:35:26.200 --> 1:35:29.440
<v Speaker 21>as a worker at home. That's category one personal capacity

1:35:30.040 --> 1:35:32.080
<v Speaker 21>or another one that I think most of us experience

1:35:32.120 --> 1:35:35.720
<v Speaker 21>in some way, or micro stresses that deplete our emotional reserve. So,

1:35:35.920 --> 1:35:39.160
<v Speaker 21>for example, if you work around people who are just

1:35:39.240 --> 1:35:41.840
<v Speaker 21>always stressed out, even if you're not stressed out, the

1:35:41.960 --> 1:35:45.200
<v Speaker 21>secondhand stress from them is going to affect you. Micro

1:35:45.280 --> 1:35:48.040
<v Speaker 21>Stresses are things that happen in our interactions with other

1:35:48.160 --> 1:35:50.760
<v Speaker 21>people that are so brief and so baked into our

1:35:50.880 --> 1:35:54.120
<v Speaker 21>day that you literally barely remember them. And individually they're

1:35:54.160 --> 1:35:57.000
<v Speaker 21>all manageable, but what happens is they layer up over

1:35:57.080 --> 1:35:59.280
<v Speaker 21>the day, over the week, over the month, and they

1:35:59.320 --> 1:36:00.800
<v Speaker 21>actually take your real big toll on you.

1:36:01.120 --> 1:36:03.800
<v Speaker 3>All Right, So media can be a very stressful world

1:36:03.800 --> 1:36:06.479
<v Speaker 3>because it's just the way it is. So what is

1:36:06.560 --> 1:36:09.200
<v Speaker 3>the connection? And some of us thrive on it. I

1:36:09.240 --> 1:36:11.040
<v Speaker 3>mean I kind of like it when it's fast and furious,

1:36:11.160 --> 1:36:13.200
<v Speaker 3>but not that isn't always the case, and you can't

1:36:13.240 --> 1:36:14.960
<v Speaker 3>do that for one hundred percent of the time, otherwise

1:36:15.000 --> 1:36:16.920
<v Speaker 3>you're just going to kind of pass out. But having

1:36:17.000 --> 1:36:21.360
<v Speaker 3>said that, what is the relationship between stress and productivity?

1:36:21.400 --> 1:36:24.599
<v Speaker 3>There's got to be probably this interesting balance, right, because

1:36:24.600 --> 1:36:26.479
<v Speaker 3>a little bit of stress gets the adrenaline going and

1:36:26.560 --> 1:36:29.799
<v Speaker 3>can kind of in some ways maybe make you more productive.

1:36:29.880 --> 1:36:32.040
<v Speaker 3>But I'm guessing too much, and that's not good.

1:36:32.520 --> 1:36:34.200
<v Speaker 12>Too much of that is definitely not good.

1:36:34.240 --> 1:36:36.400
<v Speaker 21>And again we started with high performers, So we started

1:36:36.439 --> 1:36:39.280
<v Speaker 21>with people who were already seen widely seen as being

1:36:39.360 --> 1:36:40.519
<v Speaker 21>better than the rest of us.

1:36:40.720 --> 1:36:42.000
<v Speaker 12>They were just really good at doing a.

1:36:42.000 --> 1:36:43.720
<v Speaker 21>Lot of work, being effective collaborators.

1:36:43.960 --> 1:36:46.599
<v Speaker 12>But as we started to peel back, we realized even they.

1:36:46.680 --> 1:36:50.000
<v Speaker 21>Really were almost overwhelmed by all this warm micro stress,

1:36:50.040 --> 1:36:52.839
<v Speaker 21>to the point where it potentially threatened to derail their careers.

1:36:53.120 --> 1:36:55.880
<v Speaker 21>What happens is you're always in reactive mode.

1:36:55.880 --> 1:36:57.160
<v Speaker 12>You're always you know, you open.

1:36:57.000 --> 1:36:58.960
<v Speaker 21>Your email first thing in the morning, and you're already

1:36:59.000 --> 1:37:01.960
<v Speaker 21>feeling overwhelmed behind as opposed to any of us trying

1:37:02.040 --> 1:37:04.360
<v Speaker 21>to shape and plant our day, and we're thinking about

1:37:04.400 --> 1:37:06.880
<v Speaker 21>which balls can we get away with dropping, rather than

1:37:07.160 --> 1:37:08.760
<v Speaker 21>how do I do my best work today or what

1:37:08.840 --> 1:37:10.200
<v Speaker 21>do I actually want to focus on today.

1:37:10.240 --> 1:37:11.320
<v Speaker 12>It makes you in a.

1:37:11.360 --> 1:37:14.840
<v Speaker 21>Reactive posture rather than a proactive posture, and none of

1:37:14.920 --> 1:37:16.840
<v Speaker 21>us do our best work when we're always trying to

1:37:16.880 --> 1:37:19.519
<v Speaker 21>figure out again which balls can we get away with dropping?

1:37:19.520 --> 1:37:20.519
<v Speaker 12>Because we can't do it all.

1:37:20.880 --> 1:37:24.479
<v Speaker 17>What are the financial repercussions for letting micro stresses add up?

1:37:25.360 --> 1:37:29.839
<v Speaker 21>Well, Financially, it's not good for who you are. You're

1:37:29.920 --> 1:37:32.519
<v Speaker 21>not going to be at your best, most effective you are.

1:37:32.760 --> 1:37:35.480
<v Speaker 21>Potentially even one of the micro stresses that we identified

1:37:35.640 --> 1:37:38.160
<v Speaker 21>is pressure to pursue goals that are out of sync

1:37:38.200 --> 1:37:39.200
<v Speaker 21>with your personal values.

1:37:39.280 --> 1:37:41.640
<v Speaker 17>So it also career wise work that could be a

1:37:41.680 --> 1:37:42.719
<v Speaker 17>detriment correct career.

1:37:42.680 --> 1:37:45.439
<v Speaker 21>Correct, it could indeed, if you are always sort of

1:37:45.479 --> 1:37:48.800
<v Speaker 21>pursuing what someone else's version of success is and it's

1:37:48.880 --> 1:37:51.040
<v Speaker 21>never feeling comfortable to you, or it's never who you are,

1:37:51.600 --> 1:37:53.559
<v Speaker 21>you're never going to thrive really in the long run.

1:37:53.640 --> 1:37:55.320
<v Speaker 21>You may you may have a good run five or

1:37:55.360 --> 1:37:57.400
<v Speaker 21>seven years, but at some point you're going to realize

1:37:57.439 --> 1:37:59.400
<v Speaker 21>this is not who I want to be. So you're

1:37:59.439 --> 1:38:02.160
<v Speaker 21>not going to be your best. You're probably career wise

1:38:02.280 --> 1:38:03.680
<v Speaker 21>not going to thrive in the way that you want

1:38:03.720 --> 1:38:04.040
<v Speaker 21>to thrive.

1:38:04.320 --> 1:38:04.920
<v Speaker 12>And the most.

1:38:04.760 --> 1:38:07.920
<v Speaker 21>Importantly of all, you're you're not gonna like who you are. Eventually,

1:38:08.000 --> 1:38:10.280
<v Speaker 21>it's going to kind of either way, you just small ways.

1:38:10.360 --> 1:38:13.000
<v Speaker 21>So none of us are our best when microstress is

1:38:13.120 --> 1:38:13.760
<v Speaker 21>overwhelming us.

1:38:13.840 --> 1:38:15.960
<v Speaker 3>And I like Karen, how you make the distinction certainly

1:38:15.960 --> 1:38:19.959
<v Speaker 3>the book Between Stress, Microstress and Secondary micro Stresses thirty seconds.

1:38:20.320 --> 1:38:22.160
<v Speaker 3>One piece of advice for those folks who are listening

1:38:22.160 --> 1:38:22.360
<v Speaker 3>to this.

1:38:23.439 --> 1:38:26.120
<v Speaker 21>One piece of advice is to actually stop and have

1:38:26.400 --> 1:38:29.439
<v Speaker 21>five minute clarification conversations with the people that you work with.

1:38:29.680 --> 1:38:31.680
<v Speaker 21>So many of us were moving so quickly, and we're

1:38:31.680 --> 1:38:34.640
<v Speaker 21>working with ever shifting cast of characters, people who are

1:38:34.680 --> 1:38:36.320
<v Speaker 21>new at colleagues and things like that. We don't know

1:38:36.360 --> 1:38:38.719
<v Speaker 21>how to work together very well, and we assume things,

1:38:38.800 --> 1:38:40.679
<v Speaker 21>and that can lead to all kinds of micro stresses,

1:38:40.760 --> 1:38:44.120
<v Speaker 21>just misalignments or small performance misses. So literally take five

1:38:44.160 --> 1:38:47.720
<v Speaker 21>minutes at the end of meetings and just clarify who, what, when,

1:38:48.120 --> 1:38:49.000
<v Speaker 21>what's the next step?

1:38:49.080 --> 1:38:52.040
<v Speaker 12>Don't that simple step can make a really big difference in.

1:38:52.080 --> 1:38:54.519
<v Speaker 3>Your Workstrogical we do that sometimes in the newsroom where

1:38:54.520 --> 1:38:56.800
<v Speaker 3>you're having conflicting stories. It's like, hey, everybody, get over

1:38:56.880 --> 1:38:59.680
<v Speaker 3>here and for three minutes, let's set everything straight. K

1:39:00.000 --> 1:39:03.559
<v Speaker 3>and thanks and a very timely conversation. Karen Dylan, Editorial

1:39:03.640 --> 1:39:06.519
<v Speaker 3>Director and the Microstress Effect, her book.

1:39:07.280 --> 1:39:07.880
<v Speaker 8>This is the.

1:39:07.920 --> 1:39:12.679
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