WEBVTT - The 10 Most Interesting Things We Learned on Odd Lots in 2024

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio News.

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<v Speaker 2>Hello and welcome to another episode of the Authoughts podcast.

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<v Speaker 2>I'm Tracy Alloway.

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<v Speaker 3>And I'm Joe Wisenthal.

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<v Speaker 2>Joe, it's nearly the end of the year we made it.

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<v Speaker 3>This is like year nine, isn't it.

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<v Speaker 4>No for real?

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<v Speaker 2>No, it's true. Next year is going to be our

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<v Speaker 2>ten year anniversary, so we'll have to throw some sort

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<v Speaker 2>of ad thoughts event.

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<v Speaker 3>Yeah, nothing big right now for nine. But another year,

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<v Speaker 3>another fascinating year, another year of learning new stuff. I'm

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<v Speaker 3>really enjoying it. I hope we keep doing it for

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<v Speaker 3>a while.

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<v Speaker 2>Yeah, and I think we both did learn quite a lot,

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<v Speaker 2>and in fact, that is what we are going to

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<v Speaker 2>talk about today. So we have compiled a list of

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<v Speaker 2>the ten most interesting things that we learned over the

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<v Speaker 2>past year. So you want to dive into it, let's

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<v Speaker 2>do it.

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<v Speaker 3>Let's revisit them, because you know, we do so many

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<v Speaker 3>episodes in the year, and I forget about some and

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<v Speaker 3>in the compilation of this episode, they're like, oh, yeah,

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<v Speaker 3>I totally forgot about that particular episode. So let's use

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<v Speaker 3>this time to sort of revisit the odd lots. In

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<v Speaker 3>twenty twenty four.

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<v Speaker 2>This will see at least ten factoids into your mind forever, Joe.

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<v Speaker 3>That's correct, all right.

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<v Speaker 2>So first on the list, we wanted to do an

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<v Speaker 2>episode on price pack architecture for a long time. This

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<v Speaker 2>idea that companies are getting more sophisticated in the prices

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<v Speaker 2>that they're charging for, you know, different people and different things.

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<v Speaker 2>From our episode with Lindsay Owens, executive director of the

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<v Speaker 2>Groundwork Collaborative and David Dian, the executive editor of The

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<v Speaker 2>American Prospect, we learned that McDonald's knows when you get paid.

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<v Speaker 5>So the McDonald's app is put together by a company

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<v Speaker 5>called Plecure, and Plecture works with Ikea, they work with

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<v Speaker 5>seven eleven, they work with White Castle. And the reason,

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<v Speaker 5>as you correctly said, Tracy, that McDonald's gives discounts on

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<v Speaker 5>the app is because they want to get on your phone.

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<v Speaker 5>They want to get on your phone and be able

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<v Speaker 5>to figure out what you're doing on that phone, where

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<v Speaker 5>you are at particular times of day, what your food

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<v Speaker 5>preferences are, what you're ordering habits are, potentially, what you're

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<v Speaker 5>using to pay for those things, and your financial behaviors.

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<v Speaker 5>Through that, they're aggregating a bunch of data about you,

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<v Speaker 5>And we had one of the slides from this presentation

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<v Speaker 5>that Flexure put together that shows how they are using

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<v Speaker 5>this data. And one of the things that they were

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<v Speaker 5>using to make predictions about what people would be willing

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<v Speaker 5>to pay was their payday. So you can imagine how

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<v Speaker 5>you can use this. If the app knows that you

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<v Speaker 5>get paid every other Friday, it might give you a

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<v Speaker 5>three dollars McMuffin on Thursday, but when you have some

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<v Speaker 5>money in your pocket, it might raise it to four dollars.

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<v Speaker 6>Right.

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<v Speaker 5>If it knows that it's cold out, it might raise

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<v Speaker 5>the price of hot coffee. If it knows it's hot out,

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<v Speaker 5>it might raise the price of a mcflurry. Often, Plecture

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<v Speaker 5>combines this data that's within the app, like what they

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<v Speaker 5>call first party data, with additional data about you through

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<v Speaker 5>what is called an identity graph that aggregates both you know,

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<v Speaker 5>stuff you're doing on the app, with your email, with

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<v Speaker 5>your social media, with your browser, with your subscriptions, with

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<v Speaker 5>your other app downloads, with your travel history, with your

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<v Speaker 5>retail history, all of these other things. And the predictive

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<v Speaker 5>power of that is such that you can pinpoint what

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<v Speaker 5>you're going to buy maybe before you even know, and

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<v Speaker 5>therefore you can target prices accordingly. So I think we're

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<v Speaker 5>at the beginning of this where they're trying to discount

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<v Speaker 5>things and get people on the app and get people

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<v Speaker 5>used to ordering on the app.

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<v Speaker 2>Joe, has this scared you off the McDonald's app forever?

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<v Speaker 3>No, I still feel stupid for not having downloaded the

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<v Speaker 3>McDonald's app, if I'm being honest, because I do go

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<v Speaker 3>to McDonald's from time to time and my kids really

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<v Speaker 3>like it. You know, it's still a treat. But yes,

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<v Speaker 3>this reminds me actually that I need to download the

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<v Speaker 3>McDonald's app because and just thinking about this episode, I

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<v Speaker 3>remember there are deals to be had even with sophisticated pricing.

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<v Speaker 3>There are deals to be had from a regular person

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<v Speaker 3>like me that just goes in and pays my credit card.

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<v Speaker 2>There are definitely deals to be had on the McDonald's app.

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<v Speaker 2>But I think this kind of taps into a lot

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<v Speaker 2>of the frustration that people have with inflation, where it

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<v Speaker 2>feels like companies might be charging different prices for different

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<v Speaker 2>people or depending on the specific way you pay. And

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<v Speaker 2>let's face it, no one wants to do all this

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<v Speaker 2>like homework and all this like work just to get

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<v Speaker 2>a slightly cheaper, you know, hamburger.

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<v Speaker 3>I agree, I'm still going to download the app, and

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<v Speaker 3>in twenty twenty five, I'm going to download the app.

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<v Speaker 7>Okay, all right.

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<v Speaker 3>Here is another clip fascinating conversation that we recently had

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<v Speaker 3>with Jetson leader Luis. He's an economist at Boston University.

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<v Speaker 3>We're talking about the existence of Medicare fraud and how

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<v Speaker 3>to detect it. I had not realized just how big

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<v Speaker 3>kidney dialysis specifically is as part of the federal budget.

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<v Speaker 8>Take a listen dialysis patients. There are about half a

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<v Speaker 8>million of them. We actually spend I think you know this,

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<v Speaker 8>one percent of the federal budget on the dialysis program. Incredible, set,

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<v Speaker 8>not one percent of Medicare. One percent of the federal

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<v Speaker 8>budget is the dialysis program. We do not, in general,

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<v Speaker 8>pay for ambulance rides or taxi rides for these people

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<v Speaker 8>to go to and from the visits. They are responsible

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<v Speaker 8>for getting themselves to the clinic every day, three times

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<v Speaker 8>a week, generally for a few hours, and that's in perpetuity.

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<v Speaker 8>It's very challenging to get a kidney and therefore to

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<v Speaker 8>get off of dialysis. So we had this system, and

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<v Speaker 8>this is sort of the canonical Medicare fraud. We build

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<v Speaker 8>in a little thing for the few people who need it,

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<v Speaker 8>and that turns into a loophole through which bad actors

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<v Speaker 8>drive a truck. So we built in this provision, which is,

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<v Speaker 8>if the only safe way that you can get to

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<v Speaker 8>the dialysis clinic is in an ambulance, Medicare will pay

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<v Speaker 8>for an ambulance, and they pay for it at a

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<v Speaker 8>competitive rate for the ambulance companies, at say two hundred

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<v Speaker 8>and fifty dollars for a one way ride. Now that's

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<v Speaker 8>not that much money for a real ambulance, but it's

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<v Speaker 8>a heck of a lot of money for a taxi.

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<v Speaker 8>And what happened is thousands of firms around the country

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<v Speaker 8>opened with the express intention not of giving people serious

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<v Speaker 8>medical care, but of becoming an expensive ambulance taxi and

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<v Speaker 8>build the government. We have one hundred percent data from

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<v Speaker 8>the dialysis system. We can see all of these payments

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<v Speaker 8>more than seven billion dollars for non emergency ambulance transportation

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<v Speaker 8>over the following ten years.

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<v Speaker 3>Tracy, that episode certainly convinced me that, setting aside everything else,

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<v Speaker 3>there still appears to be a lot of waste. I

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<v Speaker 3>don't mean that dialysis specifically, because people need dialysis, et cetera.

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<v Speaker 3>But the fact that you know there's all this fraud

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<v Speaker 3>associated with it. The taxi is apparently that's been cracked

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<v Speaker 3>down on, but there's a lot of money coming out

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<v Speaker 3>of the federal government and clever people find ways to

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<v Speaker 3>get it for not delivering a service.

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<v Speaker 2>That's true. I think Look, I think most people would

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<v Speaker 2>agree that stamping out fraud is probably a good thing.

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<v Speaker 2>I guess the question is is that going to be

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<v Speaker 2>the entirety of it? But Elon Musk saw saw this episode, yeah,

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<v Speaker 2>and reacted to it on Twitter slash x he.

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<v Speaker 3>Did, so there's that, So maybe that'll move the dial

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<v Speaker 3>all right.

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<v Speaker 2>Next up in our list of the top ten most

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<v Speaker 2>interesting things we learned from All Blots, we have the

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<v Speaker 2>fact that Boeing hasn't built a clean sheet design in

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<v Speaker 2>about twenty years, and Boeing's recently departed CEO Calhoun. He

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<v Speaker 2>basically said the company doesn't have any plans to do

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<v Speaker 2>so for the next ten years, all of which means

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<v Speaker 2>it might be more than a thirty year gap between

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<v Speaker 2>Boeing bill an entirely new aircraft, which is just kind

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<v Speaker 2>of mind blowing, like one full adults lifespan. And this

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<v Speaker 2>is from Richard Abulafia. He is a managing director of

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<v Speaker 2>Aerodynamic Advisory.

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<v Speaker 7>This looks like a glide slope towards oblivion. Because remember,

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<v Speaker 7>it's not just the loss of market share, it's also

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<v Speaker 7>the demographics. You know, engineering workforces have that muscle memory

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<v Speaker 7>that needs to be maintained. And it's been since two

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<v Speaker 7>thousand and four that they've launched, since they've last launched

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<v Speaker 7>a clean sheet design. They've done some good work since,

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<v Speaker 7>but again you're talking about an aging engineering workforce that's

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<v Speaker 7>not attracting new people. Well, they have the kind of

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<v Speaker 7>core skills needed to create a new jet in the

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<v Speaker 7>twenty thirties. I have no idea. You need something to

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<v Speaker 7>dream for, you need something that represents the future. And

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<v Speaker 7>you know, Dave Calhoun, the CEO at the top of

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<v Speaker 7>the heap, said about oh a year and four months

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<v Speaker 7>ago that don't worry, we won't be launching anything new

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<v Speaker 7>for at least another decade. Other than sheer demoralization and

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<v Speaker 7>encouraging the competition. I mean, the only way to explain

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<v Speaker 7>it is that he's the best CEO Airbus could ask for.

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<v Speaker 7>If you're an engineer, you hear that what are you

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<v Speaker 7>working for exactly? You're coming up with work packages on

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<v Speaker 7>the basis of I don't know, minor tweaks of existing products,

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<v Speaker 7>stuff that's already in the pipeline. You know, it's a

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<v Speaker 7>tight market for technical labor. You're probably going to be

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<v Speaker 7>pretty interested in going to work for somebody else. So

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<v Speaker 7>you might also notice that the demographics are changing because

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<v Speaker 7>the young and enthusiastic folks who have a future are

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<v Speaker 7>leaving or not joining, and that too, of course, is

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<v Speaker 7>a significant change in the fabric of your workplace.

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<v Speaker 2>So that was from our conversation with Richard Abulafia, one

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<v Speaker 2>of the best aerospace analysts around that I know, And

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<v Speaker 2>it's just kind of yeah, it's kind of mind blowing

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<v Speaker 2>a thirty year gap between America's premier aerospace company actually

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<v Speaker 2>designing a clean sheet aircraft.

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<v Speaker 3>I think it's chilling. That might have been to my mind,

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<v Speaker 3>that stuck with me all year, and maybe the most

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<v Speaker 3>chilling thing we've learned, because you know, we talk, for example,

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<v Speaker 3>in other industries about knowledge and talent loss. Nuclear comes

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<v Speaker 3>up a lot, for example, building a nuclear station, what

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<v Speaker 3>happens when America's one commercial maker of civil aviation jets

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<v Speaker 3>doesn't have very many people that know how to design

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<v Speaker 3>a jet like I actually find it to be a

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<v Speaker 3>chilling fact.

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<v Speaker 2>No, absolutely.

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<v Speaker 3>Our next clip comes from Igor Smelansky. He's the CEO

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<v Speaker 3>of the Ukraine Postal Service and he talks to us.

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<v Speaker 3>You know, they used to talk about technological leapfrogging and

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<v Speaker 3>how ems went to wireless before they ever had wirelines.

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<v Speaker 3>Something similar going on with a post office there.

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<v Speaker 9>Take a listen when we talk about the occupied areas,

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<v Speaker 9>Russians destroy the entire infrastructure, which means when Ukraine the

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<v Speaker 9>occupies these villages for about five to six weeks, you

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<v Speaker 9>don't have mobile connection, you don't have electricity, but we

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<v Speaker 9>have to work because you cannot leave people in the vacuum.

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<v Speaker 9>Not to mention, they would operate in Russian rubles, and

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<v Speaker 9>we want to bring them back to Ukraine, so you

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<v Speaker 9>have to bring them Ukrainian currency, and we at the

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<v Speaker 9>first company they see. We're trying the best we can

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<v Speaker 9>to implement automatic sorting lines. Our goal for the c

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<v Speaker 9>I know it sounds weird during the war, but we

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<v Speaker 9>want to be one hundred percent digital even when there's

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<v Speaker 9>no digital meaning we build a system where in the

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<v Speaker 9>morning our mail carriers will download through startlingk and generators

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<v Speaker 9>the data worker during the day and then upload the

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<v Speaker 9>data at night, which means again we are not dependent

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<v Speaker 9>on the infrastructure if Russians, you know, shut down the

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<v Speaker 9>electricity or mobile or anything. This starlink has been really

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<v Speaker 9>a sabor to us be able to run internet cables

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<v Speaker 9>in those areas, right, I mean, it just will be

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<v Speaker 9>millions of dollars. Probably it will run through the field

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<v Speaker 9>which you need to demine, and then Russians can bumm

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<v Speaker 9>it again and it can go off, et cetera. So

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<v Speaker 9>via Startling you're flexible enough. Then you well, when you

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<v Speaker 9>combine startling and a generator, when you combine the two,

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<v Speaker 9>you're basically no longer dependent on the central infrastructure and

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<v Speaker 9>you can provide civil height services right away, not you know,

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<v Speaker 9>not five months after the occupation, not three months after

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<v Speaker 9>Russian destroyed the buildings today, like for example it was

0:12:34.360 --> 0:12:37.520
<v Speaker 9>in our case, So we rebuilt it, we put up

0:12:37.520 --> 0:12:40.480
<v Speaker 9>the Startling generator, and we get back to work. So

0:12:41.360 --> 0:12:43.320
<v Speaker 9>you know, it's like a sory of broken windows. You

0:12:43.320 --> 0:12:46.400
<v Speaker 9>cannot have that you should have the services, and the

0:12:46.480 --> 0:12:50.120
<v Speaker 9>startling allows you to have that connection to the world.

0:12:50.640 --> 0:12:53.600
<v Speaker 3>Yeah, that was a really extraordinary fact, just thinking about

0:12:53.679 --> 0:12:56.680
<v Speaker 3>how quickly you can rebuild a service that would have

0:12:56.720 --> 0:12:59.920
<v Speaker 3>taken weeks and weeks or months and months of infrastructure.

0:13:00.040 --> 0:13:03.080
<v Speaker 3>We did another episode also this year, now that I

0:13:03.160 --> 0:13:06.400
<v Speaker 3>think about it, about a sort of Elon Musk's dominance

0:13:06.480 --> 0:13:10.680
<v Speaker 3>of the skies and satellites, and it really is fascinating.

0:13:10.880 --> 0:13:13.319
<v Speaker 3>I guess the consequence of that, but one very interesting

0:13:13.360 --> 0:13:16.320
<v Speaker 3>one is that you can have a whole infrastructure that

0:13:16.320 --> 0:13:19.959
<v Speaker 3>probably took years to develop and maintain and now in

0:13:20.000 --> 0:13:23.600
<v Speaker 3>some places replicated least some of those services almost overnight.

0:13:23.880 --> 0:13:25.680
<v Speaker 2>You know what the best part of this episode was,

0:13:26.120 --> 0:13:29.960
<v Speaker 2>uh what I think afterwards? You uh started ordering a

0:13:30.000 --> 0:13:31.680
<v Speaker 2>couple things from Ukraine, Right.

0:13:31.679 --> 0:13:32.160
<v Speaker 10>That's right.

0:13:32.320 --> 0:13:36.079
<v Speaker 3>I started buying things on eBay and a number of

0:13:36.160 --> 0:13:39.280
<v Speaker 3>them did come through Ukraine, including some used books recently.

0:13:39.440 --> 0:13:41.880
<v Speaker 2>Yeah, I know, it's kind it's kind of crazy. Yeah,

0:13:41.880 --> 0:13:44.280
<v Speaker 2>you can order stuff from a war zone, but there

0:13:44.320 --> 0:13:46.800
<v Speaker 2>we are. The postal service in Ukraine is still working.

0:13:47.160 --> 0:13:49.839
<v Speaker 2>We'll see whether or not they go one hundred percent digital. Yeah,

0:13:50.360 --> 0:13:54.479
<v Speaker 2>all right, next, Uh, this was a pretty fun episode,

0:13:54.559 --> 0:13:58.080
<v Speaker 2>we spoke with Isaac rose Berman, who's a professional sports

0:13:58.120 --> 0:14:02.319
<v Speaker 2>gambler and the author of How Gambling Works newsletter. He

0:14:02.520 --> 0:14:06.200
<v Speaker 2>talked about how professional sports betters basically have to trick

0:14:06.400 --> 0:14:10.000
<v Speaker 2>betting platforms into thinking they're stupid. Take a listen.

0:14:10.679 --> 0:14:12.640
<v Speaker 4>So another thing that a lot of people do, obviously

0:14:12.720 --> 0:14:14.640
<v Speaker 4>is you bet on other people's accounts. You know, you

0:14:15.320 --> 0:14:18.440
<v Speaker 4>go and you get your roommate's account, your mom's account,

0:14:18.480 --> 0:14:21.560
<v Speaker 4>your friend's account, and you're just constantly cycling through different accounts.

0:14:21.680 --> 0:14:23.760
<v Speaker 4>I'm not advocating for that, that's against the terms and

0:14:23.800 --> 0:14:26.080
<v Speaker 4>conditions of these sites, but that's just a reality. And

0:14:26.120 --> 0:14:29.080
<v Speaker 4>that's how a lot of betters are able to get

0:14:29.120 --> 0:14:31.440
<v Speaker 4>down a sufficient amount of volume, especially when they're constantly

0:14:31.480 --> 0:14:33.800
<v Speaker 4>getting kicked out. And the real thing is that, you know,

0:14:33.840 --> 0:14:35.760
<v Speaker 4>you're just you have to disguise your bets in a

0:14:35.800 --> 0:14:38.600
<v Speaker 4>way that they don't they don't see or they don't

0:14:38.640 --> 0:14:41.560
<v Speaker 4>realize that what you're doing. And so one of the

0:14:41.600 --> 0:14:45.200
<v Speaker 4>common ways that sportsbooks identify and profile their customers is

0:14:45.240 --> 0:14:47.680
<v Speaker 4>based on the first few bets that you place. So

0:14:48.080 --> 0:14:50.200
<v Speaker 4>one thing that a lot of people do that's really

0:14:50.480 --> 0:14:52.760
<v Speaker 4>quite silly, in my opinion, is no you go into

0:14:52.760 --> 0:14:54.360
<v Speaker 4>a book and you bet a bunch of stuff that's

0:14:54.440 --> 0:14:57.400
<v Speaker 4>pretty obviously a really smart bet. You know, if you

0:14:57.480 --> 0:15:00.000
<v Speaker 4>open up an account and you're betting the maximum amount

0:15:00.040 --> 0:15:03.320
<v Speaker 4>out on you know, Bulgarian table tennis, and you keep winning,

0:15:03.600 --> 0:15:05.080
<v Speaker 4>and then you know, I have friends who come to

0:15:05.080 --> 0:15:06.560
<v Speaker 4>me and they're like, Isaac, you know, why did I

0:15:06.560 --> 0:15:07.800
<v Speaker 4>get kicked out of this book? And I look at

0:15:07.840 --> 0:15:10.280
<v Speaker 4>their bet history and they're betting on the most obscure

0:15:10.320 --> 0:15:12.840
<v Speaker 4>stuff at like random times for very large amounts, and

0:15:12.880 --> 0:15:15.320
<v Speaker 4>it's like, yeah, you know, these these companies aren't dumb.

0:15:15.520 --> 0:15:17.840
<v Speaker 4>So the main way is, you know, you when you

0:15:17.880 --> 0:15:20.000
<v Speaker 4>open up an account, you place a bunch of bets

0:15:20.000 --> 0:15:22.400
<v Speaker 4>which look kind of normal. You bet on some NBA

0:15:22.800 --> 0:15:25.120
<v Speaker 4>Maybe these bets won't have a positive expression. Bet for

0:15:25.120 --> 0:15:27.760
<v Speaker 4>the home team exactly exactly. You know, you're in New York,

0:15:27.800 --> 0:15:29.720
<v Speaker 4>you want to bet on the Yankees. You place a

0:15:29.760 --> 0:15:31.480
<v Speaker 4>bunch of bets which in the short run they might

0:15:31.520 --> 0:15:33.320
<v Speaker 4>lose a little bit of money, but in the long

0:15:33.400 --> 0:15:35.080
<v Speaker 4>run they'll make you money because they're kind of putting

0:15:35.080 --> 0:15:36.040
<v Speaker 4>the sportsbook off your scent.

0:15:36.400 --> 0:15:38.800
<v Speaker 2>Jarre, that was pretty funny, and I got to say,

0:15:38.800 --> 0:15:41.560
<v Speaker 2>I feel like I don't have much promise in terms

0:15:41.600 --> 0:15:44.280
<v Speaker 2>of actually making money from sports betting, So maybe I

0:15:44.320 --> 0:15:46.440
<v Speaker 2>should be selling my account to someone.

0:15:46.600 --> 0:15:48.960
<v Speaker 3>You opened some accounts and rent that out. But seriously,

0:15:48.960 --> 0:15:51.360
<v Speaker 3>that was a really disturbing episode because I already knew

0:15:51.440 --> 0:15:54.800
<v Speaker 3>that there's all these problems with online gambling, addiction and

0:15:54.920 --> 0:15:58.440
<v Speaker 3>so forth, but then the fact that essentially you can't

0:15:58.480 --> 0:16:00.960
<v Speaker 3>really win because if you're good at it, they'll constrain

0:16:01.000 --> 0:16:02.600
<v Speaker 3>you so much, and that if you're bad at it

0:16:03.680 --> 0:16:07.320
<v Speaker 3>sort of deeply, deeply disturbing episode to me.

0:16:07.680 --> 0:16:10.240
<v Speaker 2>Yeah, well, you know, they set the odds, they set

0:16:10.240 --> 0:16:10.760
<v Speaker 2>the terms.

0:16:10.840 --> 0:16:11.600
<v Speaker 11>Yeah.

0:16:11.800 --> 0:16:14.040
<v Speaker 3>So one of the things that's come up a lot

0:16:14.200 --> 0:16:16.120
<v Speaker 3>as a theme on the podcast this year and the

0:16:16.200 --> 0:16:21.240
<v Speaker 3>year before and etcetera, is with the energy transition, other

0:16:21.360 --> 0:16:26.880
<v Speaker 3>commodities besides oil are of deep importance and deep geostrategic importance,

0:16:26.880 --> 0:16:29.040
<v Speaker 3>et cetera. And there are various commodities that go into

0:16:29.120 --> 0:16:31.320
<v Speaker 3>batteries and other things like that, and so we sort

0:16:31.320 --> 0:16:33.560
<v Speaker 3>of have to rethink our world map of where the

0:16:33.600 --> 0:16:38.000
<v Speaker 3>important spots are. And a really crucial area is Indonesia,

0:16:38.080 --> 0:16:41.080
<v Speaker 3>which has a dominant grip on the global nickel market

0:16:41.200 --> 0:16:44.160
<v Speaker 3>in partnership to some extent with China, and we had

0:16:44.160 --> 0:16:47.080
<v Speaker 3>a great conversation with Michael Widmer, head of Metals Research

0:16:47.160 --> 0:16:49.160
<v Speaker 3>at Bank of America on what's going on.

0:16:49.440 --> 0:16:52.760
<v Speaker 11>When you're looking at the biggest players in the space.

0:16:53.080 --> 0:16:55.120
<v Speaker 11>It has actually changed a lot, and you mentioned it

0:16:55.160 --> 0:16:58.920
<v Speaker 11>already in the at the outset. Historically, when you're looking

0:16:58.960 --> 0:17:01.680
<v Speaker 11>at it, you had Russia as a big nickel producer,

0:17:01.760 --> 0:17:05.119
<v Speaker 11>Australia as a big nickel producer, the Philippines were in

0:17:05.160 --> 0:17:07.840
<v Speaker 11>the fold as well, Canada to some extent too. But

0:17:07.920 --> 0:17:12.720
<v Speaker 11>what's happened recently is as the energy transition started to

0:17:12.840 --> 0:17:18.560
<v Speaker 11>take off, market participants were really focused on increasing nickel

0:17:18.600 --> 0:17:22.600
<v Speaker 11>supply quickly. And there's one country that just jumped at

0:17:22.640 --> 0:17:25.600
<v Speaker 11>the industry. In that country is Indonesia. It has the

0:17:25.600 --> 0:17:29.000
<v Speaker 11>weather type of war, but it has that in abundance,

0:17:29.200 --> 0:17:31.320
<v Speaker 11>so it's very easy to actually take it out of

0:17:31.359 --> 0:17:34.400
<v Speaker 11>the ground. And the Chinese went into Indonesia, were very

0:17:34.960 --> 0:17:38.560
<v Speaker 11>innovative also in the production technologies and managed to take

0:17:38.720 --> 0:17:41.240
<v Speaker 11>the nickel out that they then needed to drive the

0:17:41.359 --> 0:17:44.280
<v Speaker 11>ev battery industry. And one of the things that the

0:17:44.359 --> 0:17:47.840
<v Speaker 11>Chinese government realized very early on is if you have

0:17:48.280 --> 0:17:52.080
<v Speaker 11>a strong demand growth for evs. You also need the romatiers,

0:17:52.400 --> 0:17:56.240
<v Speaker 11>and particularly the battery roma tiers. Without batteries, TVs don't

0:17:56.280 --> 0:18:00.000
<v Speaker 11>go very fon. So the Chinese government looked at where

0:18:00.000 --> 0:18:03.879
<v Speaker 11>where some of those battery romatials are. They did it

0:18:03.920 --> 0:18:07.040
<v Speaker 11>in lithium, another battery romatial, they did in cobalt, and

0:18:07.080 --> 0:18:10.280
<v Speaker 11>they did also in nickel. And in twenty thirteen the

0:18:10.320 --> 0:18:14.600
<v Speaker 11>two presidents of China and Indonesia effectively set together and

0:18:14.600 --> 0:18:16.760
<v Speaker 11>the discussion pretty much went like that. The Chinese said,

0:18:16.760 --> 0:18:19.040
<v Speaker 11>look beneath the nico. The Dnetian said, well, we have

0:18:19.080 --> 0:18:21.199
<v Speaker 11>the nickel. The Chinese said, well, can be invested, and

0:18:21.200 --> 0:18:24.520
<v Speaker 11>then he said, yeah, do. Let's developed that industry together.

0:18:24.560 --> 0:18:27.240
<v Speaker 11>And so the Indonesian government then, together with the Chinese,

0:18:27.280 --> 0:18:30.520
<v Speaker 11>set up industrial parks, and through that industrial park, supported

0:18:30.920 --> 0:18:35.280
<v Speaker 11>by Chinese money, the nickel industry and then developed very

0:18:35.400 --> 0:18:36.040
<v Speaker 11>very quickly.

0:18:36.440 --> 0:18:40.080
<v Speaker 3>Tracy, you know, when I listen to these conversations about

0:18:40.359 --> 0:18:44.360
<v Speaker 3>the sort of global supply chains, global hold and key commodities,

0:18:44.920 --> 0:18:46.639
<v Speaker 3>let's just put this way, we have some catching up

0:18:46.720 --> 0:18:49.280
<v Speaker 3>to There's a lot of talk in this country about

0:18:49.320 --> 0:18:51.800
<v Speaker 3>things right now, and maybe there are ways to sort

0:18:51.800 --> 0:18:55.520
<v Speaker 3>of buffer some of the economic or national security concerns

0:18:55.520 --> 0:18:58.040
<v Speaker 3>about some of this stuff, but other places have been

0:18:58.040 --> 0:18:59.320
<v Speaker 3>thinking about this stuff for a long time.

0:18:59.440 --> 0:19:03.160
<v Speaker 2>No, it's true, and China here has been incredibly strategic

0:19:03.440 --> 0:19:07.159
<v Speaker 2>about basically, you know, helping to set up Indonesia's nickel

0:19:07.240 --> 0:19:10.040
<v Speaker 2>industry and making sure that they're sort of first in

0:19:10.200 --> 0:19:13.640
<v Speaker 2>line to get that metal. So yeah, quite a long

0:19:13.680 --> 0:19:16.200
<v Speaker 2>ways to go, all right. Next up, we have Harvard

0:19:16.240 --> 0:19:19.840
<v Speaker 2>Law School professor Jared Elias and Duke University School of

0:19:19.920 --> 0:19:24.400
<v Speaker 2>Law professor Elizabeth Defont. Today they're talking about how private

0:19:24.560 --> 0:19:28.680
<v Speaker 2>credit has swallowed the economy, and I think the takeaway

0:19:28.680 --> 0:19:32.320
<v Speaker 2>from this is that private credit is basically already changing

0:19:32.600 --> 0:19:35.320
<v Speaker 2>the world of debt and the way finance works.

0:19:36.160 --> 0:19:40.959
<v Speaker 12>So you can have concerns both for the investors themselves

0:19:41.000 --> 0:19:44.520
<v Speaker 12>and for sort of the broader economy or the broader market.

0:19:45.400 --> 0:19:47.680
<v Speaker 12>And that's the issue with private credit. We have heard

0:19:47.720 --> 0:19:51.280
<v Speaker 12>a lot from people about concerns about the marks that

0:19:51.320 --> 0:19:53.960
<v Speaker 12>people are carrying these private credit loans at, and that

0:19:54.040 --> 0:19:57.480
<v Speaker 12>they might be entirely stale, they might be largely overstated.

0:19:57.920 --> 0:20:01.879
<v Speaker 12>There's really no way to know until exit that investment.

0:20:02.000 --> 0:20:04.679
<v Speaker 12>And that's exactly how it is on the private equity

0:20:04.720 --> 0:20:06.560
<v Speaker 12>side that you know, if a private equity fund buys

0:20:06.560 --> 0:20:09.639
<v Speaker 12>a portfolio company, who on earth knows what that company

0:20:09.720 --> 0:20:12.880
<v Speaker 12>is worth until they actually finally exit that and there

0:20:12.920 --> 0:20:16.119
<v Speaker 12>is some misvaluation and so on. That's the question is

0:20:16.320 --> 0:20:18.760
<v Speaker 12>can we have that both on the equity side and

0:20:18.880 --> 0:20:20.840
<v Speaker 12>on the debt side? What does that mean for our

0:20:20.880 --> 0:20:25.440
<v Speaker 12>economy if we are suddenly just very liquid for almost

0:20:25.520 --> 0:20:26.440
<v Speaker 12>all of the companies.

0:20:26.760 --> 0:20:30.000
<v Speaker 13>Yeah, and so something to think about is the broadly

0:20:30.040 --> 0:20:32.760
<v Speaker 13>syndicated debt world and the high yield world of debt

0:20:33.520 --> 0:20:36.720
<v Speaker 13>in created this benefit for all of us. And that

0:20:36.800 --> 0:20:39.840
<v Speaker 13>benefit was we could follow the trading crisis of debt

0:20:39.880 --> 0:20:42.639
<v Speaker 13>and real time and get a sense of where are

0:20:42.640 --> 0:20:45.639
<v Speaker 13>their problems in our economy, what sectors are in trouble?

0:20:45.960 --> 0:20:48.400
<v Speaker 13>Like I think about COVID nineteen, So COVID nineteen hits.

0:20:48.400 --> 0:20:51.040
<v Speaker 13>We're all watching, like, what are the debt prices of

0:20:51.080 --> 0:20:54.240
<v Speaker 13>the big hotel companies telling us about the likelihood those

0:20:54.240 --> 0:20:55.320
<v Speaker 13>hotel companies.

0:20:55.000 --> 0:20:55.840
<v Speaker 14>Go into bankruptcy.

0:20:56.200 --> 0:20:59.560
<v Speaker 13>Congress and regulators can look at those signals and say, Okay,

0:21:00.080 --> 0:21:02.480
<v Speaker 13>we've got to do something really special for the airlines.

0:21:02.560 --> 0:21:04.760
<v Speaker 13>We've got to do something really special here. And when

0:21:04.760 --> 0:21:07.440
<v Speaker 13>the airlines go to Congress and say we need something special.

0:21:07.480 --> 0:21:10.280
<v Speaker 14>They can point to their debt prizes and say.

0:21:10.119 --> 0:21:13.399
<v Speaker 13>Look what is going on regulators, Look what's going on

0:21:13.400 --> 0:21:17.320
<v Speaker 13>in Congress. Our debt is trading down to zero, like please,

0:21:17.400 --> 0:21:21.360
<v Speaker 13>we need special treatment. Investors looking for a deal and say,

0:21:22.440 --> 0:21:25.000
<v Speaker 13>the debt of this company is trading at a really

0:21:25.080 --> 0:21:27.560
<v Speaker 13>low level. I think I could do really well if

0:21:27.600 --> 0:21:29.399
<v Speaker 13>I owns that asset. I'm going to go make that

0:21:29.480 --> 0:21:32.760
<v Speaker 13>board and offer. And so all of those price signals

0:21:32.800 --> 0:21:37.359
<v Speaker 13>just disappear from the allocation of capital from policymaking, and

0:21:37.480 --> 0:21:40.360
<v Speaker 13>I think it poses a real challenge to what are

0:21:40.520 --> 0:21:44.000
<v Speaker 13>you a really well functioning set of capital markets to

0:21:44.160 --> 0:21:45.520
<v Speaker 13>lose those signals.

0:21:46.760 --> 0:21:49.639
<v Speaker 2>Yeah, so I think this is absolutely fascinating because a

0:21:49.680 --> 0:21:52.440
<v Speaker 2>lot of the concerns that you hear at nauseum nowadays

0:21:52.480 --> 0:21:55.600
<v Speaker 2>are this idea that private credit is in a bubble, right, like, yeah,

0:21:55.640 --> 0:21:57.800
<v Speaker 2>private credit is going to burst and there's going to

0:21:57.800 --> 0:22:00.320
<v Speaker 2>be this big crash and people are sort of worried

0:22:00.359 --> 0:22:03.560
<v Speaker 2>about that scenario sometime in the future. But in the

0:22:03.640 --> 0:22:08.320
<v Speaker 2>meantime there's already been an impact on things like transparency

0:22:08.520 --> 0:22:11.600
<v Speaker 2>about you know, who actually owns corporations, And then the

0:22:11.640 --> 0:22:13.920
<v Speaker 2>price signals that Jared was talking about.

0:22:14.080 --> 0:22:16.680
<v Speaker 3>It occurred to me listening to that that there's sort

0:22:16.680 --> 0:22:21.200
<v Speaker 3>of a this is adjacent to the question about passive

0:22:21.240 --> 0:22:23.720
<v Speaker 3>investing and who is putting in the work to setting

0:22:24.119 --> 0:22:27.880
<v Speaker 3>to setting prices, because prices, as our guests talked about,

0:22:28.040 --> 0:22:31.040
<v Speaker 3>are very useful. But it does feel as though the

0:22:31.119 --> 0:22:33.520
<v Speaker 3>sort of people who are working to set prices that

0:22:33.640 --> 0:22:36.239
<v Speaker 3>everyone can look at are shrinking because you have all

0:22:36.240 --> 0:22:38.679
<v Speaker 3>this money going to passive investing, and then you have

0:22:38.720 --> 0:22:42.000
<v Speaker 3>some other pool of money going to private market investments

0:22:42.040 --> 0:22:44.879
<v Speaker 3>in which the marks are really not very known, and

0:22:44.920 --> 0:22:47.040
<v Speaker 3>so it does sort of make you wonder, like, you know,

0:22:47.080 --> 0:22:49.520
<v Speaker 3>there's a lot of free writing going on, and at

0:22:49.560 --> 0:22:52.080
<v Speaker 3>some point you got to wonder if it'll actually be

0:22:52.160 --> 0:22:57.520
<v Speaker 3>problematic that there isn't more publicly available pricing. Anyway, it's

0:22:57.520 --> 0:22:59.680
<v Speaker 3>just something, just something I thought of it. It's an

0:22:59.680 --> 0:23:02.280
<v Speaker 3>interesting sort of theoretical problem to think about.

0:23:02.359 --> 0:23:05.199
<v Speaker 2>I'm not sure price makers are the real victim. Is

0:23:05.240 --> 0:23:08.280
<v Speaker 2>going to be a strong populist platform here, but there

0:23:08.359 --> 0:23:11.080
<v Speaker 2>is definitely something there. There is that free writing problem.

0:23:11.119 --> 0:23:14.080
<v Speaker 3>We are all we are all the victims of fewer

0:23:14.119 --> 0:23:15.240
<v Speaker 3>and fewer price makers.

0:23:15.320 --> 0:23:16.640
<v Speaker 2>Is high play okay, fair enough.

0:23:33.200 --> 0:23:37.160
<v Speaker 3>Speaking of prices, it turns out, and this is something

0:23:37.200 --> 0:23:41.640
<v Speaker 3>that we learned during our three part series called Beak Capitalism.

0:23:41.760 --> 0:23:44.680
<v Speaker 3>Everyone needs chicken wings, we all love. It turns out

0:23:44.720 --> 0:23:49.159
<v Speaker 3>that chicken wing prices, for various reasons, are extremely volatile

0:23:49.200 --> 0:23:52.719
<v Speaker 3>because by and large, the chicken industry does not price

0:23:52.840 --> 0:23:55.760
<v Speaker 3>around the wing itself. Take a listen to this part

0:23:55.760 --> 0:23:58.600
<v Speaker 3>of our conversation that we had with Michael Skipworth, the

0:23:58.680 --> 0:23:59.879
<v Speaker 3>CEO of Wingstop.

0:24:00.600 --> 0:24:05.600
<v Speaker 10>Now, the reason you see so much volatility in the

0:24:05.640 --> 0:24:09.440
<v Speaker 10>price of wings is the reality of the fact that

0:24:09.600 --> 0:24:14.320
<v Speaker 10>these poultry companies, they are not growing these chickens for

0:24:14.400 --> 0:24:19.240
<v Speaker 10>the wings. They're setting the size of the flock, how

0:24:19.280 --> 0:24:22.840
<v Speaker 10>many birds they're going to harvest based on breast meat demand.

0:24:23.119 --> 0:24:26.320
<v Speaker 10>The chicken wings themselves represent six to eight percent of

0:24:26.359 --> 0:24:29.680
<v Speaker 10>the bird It's a fall off product. And so why

0:24:29.760 --> 0:24:33.880
<v Speaker 10>you see so much volatility in the price of wings.

0:24:34.320 --> 0:24:38.000
<v Speaker 10>It clearly is a supply and demand dynamic, but the

0:24:38.119 --> 0:24:41.359
<v Speaker 10>demand is not what's driving the supply. It's really centered

0:24:41.400 --> 0:24:44.840
<v Speaker 10>around the overall market for breast meat, and so that's

0:24:44.840 --> 0:24:48.399
<v Speaker 10>what's created a lot of volatility in that commodity. And

0:24:49.080 --> 0:24:53.879
<v Speaker 10>there can be years where that spot market hits below

0:24:53.960 --> 0:24:57.399
<v Speaker 10>one dollar a pound. And then take a year like

0:24:57.480 --> 0:25:02.119
<v Speaker 10>twenty twenty one, after the pandemic or every single brand

0:25:02.160 --> 0:25:05.120
<v Speaker 10>out there added chicken wings to their menu, you saw

0:25:05.160 --> 0:25:07.880
<v Speaker 10>that spot market hit an all time high of three

0:25:07.920 --> 0:25:09.639
<v Speaker 10>dollars and twenty one cents a pound.

0:25:10.920 --> 0:25:14.680
<v Speaker 3>Tracy, I love the idea that you know, there's financial

0:25:14.680 --> 0:25:18.080
<v Speaker 3>instruments exist and in a way, you know, you get

0:25:18.080 --> 0:25:20.600
<v Speaker 3>this price of a chicken, and then it's almost like

0:25:21.080 --> 0:25:23.720
<v Speaker 3>the wing is a derivative of a chicken, right, A

0:25:23.760 --> 0:25:27.320
<v Speaker 3>wing is sort of a chicken derivative itself, because that's

0:25:27.359 --> 0:25:30.200
<v Speaker 3>not really where the supply and demand is happening directly

0:25:30.240 --> 0:25:32.080
<v Speaker 3>with most of the bird, and so then you can

0:25:32.080 --> 0:25:35.359
<v Speaker 3>get these weird swings in the fall off part.

0:25:35.240 --> 0:25:35.639
<v Speaker 14>Of the bird.

0:25:35.800 --> 0:25:39.359
<v Speaker 2>Yeah, you know, technology needs to solve this with chickens

0:25:39.359 --> 0:25:42.280
<v Speaker 2>with I don't know, multiple pairs of wings. Then we'll

0:25:42.320 --> 0:25:43.320
<v Speaker 2>have plenty of cheap chicken.

0:25:43.560 --> 0:25:45.600
<v Speaker 3>You're right, this is the solution. We need to innovate

0:25:45.600 --> 0:25:46.280
<v Speaker 3>our way out of it.

0:25:46.359 --> 0:25:49.359
<v Speaker 2>All right, Definitely check out Beat Capitalism if you haven't,

0:25:49.359 --> 0:25:51.960
<v Speaker 2>because that was one of my favorite series of the year.

0:25:52.400 --> 0:25:55.359
<v Speaker 2>Up next, Oh, speaking of favorite series of the year,

0:25:56.040 --> 0:26:00.520
<v Speaker 2>this is from Richmond. FED President Tom Barkin on the

0:26:00.640 --> 0:26:04.200
<v Speaker 2>road with him in North Carolina, and we learned a lot,

0:26:04.359 --> 0:26:07.159
<v Speaker 2>including you know what a FED president learns when he

0:26:07.240 --> 0:26:10.240
<v Speaker 2>actually goes on all these business trips. But we also

0:26:10.359 --> 0:26:15.119
<v Speaker 2>learned that Surrey County is the carport manufacturing capital of

0:26:15.160 --> 0:26:16.240
<v Speaker 2>North America.

0:26:16.359 --> 0:26:18.680
<v Speaker 6>My brother and I've been to this industry over close

0:26:18.720 --> 0:26:22.480
<v Speaker 6>to twenty four to twenty five years, so almost since

0:26:22.760 --> 0:26:26.520
<v Speaker 6>it first started back in ninety nine and ninety seven,

0:26:26.600 --> 0:26:30.200
<v Speaker 6>actually ninety eight ninety nine, the beginnings of this industry,

0:26:30.280 --> 0:26:33.040
<v Speaker 6>but it kind of grew in this area. So Surrey

0:26:33.080 --> 0:26:36.040
<v Speaker 6>County is pretty much the home town or home place,

0:26:36.080 --> 0:26:38.800
<v Speaker 6>so the birthplace of this type of structure. Now there's

0:26:38.840 --> 0:26:41.120
<v Speaker 6>been other structures made out of different you know tubing,

0:26:41.480 --> 0:26:43.399
<v Speaker 6>like round tubes all that that's you know on the

0:26:43.440 --> 0:26:47.080
<v Speaker 6>West coast, but to be square tubing and to go

0:26:47.119 --> 0:26:50.160
<v Speaker 6>into what we're doing now is different. So it started

0:26:50.160 --> 0:26:52.200
<v Speaker 6>off and you probably drove by even where you live,

0:26:52.240 --> 0:26:54.439
<v Speaker 6>you see the little tops and people park their cars,

0:26:54.560 --> 0:26:57.960
<v Speaker 6>or you drive by some kind of dealer that sells

0:26:58.080 --> 0:27:00.639
<v Speaker 6>outdoor equipment or something you see a little signed this

0:27:00.680 --> 0:27:03.679
<v Speaker 6>as a price. Well that's how it pretty much started.

0:27:04.320 --> 0:27:04.760
<v Speaker 12>All right.

0:27:04.840 --> 0:27:07.160
<v Speaker 2>Did that surprise you, Joe, to learn that there's a

0:27:07.240 --> 0:27:09.840
<v Speaker 2>sort of carport hub in North Carolina.

0:27:10.080 --> 0:27:13.120
<v Speaker 3>It surprised me, But then it's like these days, it's

0:27:13.200 --> 0:27:15.440
<v Speaker 3>agglomeration effects in everything.

0:27:15.520 --> 0:27:15.680
<v Speaker 11>Yeah.

0:27:15.760 --> 0:27:19.080
<v Speaker 3>Right, So you think of any industry where they make anything,

0:27:19.119 --> 0:27:21.679
<v Speaker 3>and there's probably one area that dominates it. But I

0:27:21.720 --> 0:27:23.760
<v Speaker 3>think both of us had the same reaction when we

0:27:23.760 --> 0:27:25.600
<v Speaker 3>were driving through Surrey County.

0:27:25.760 --> 0:27:27.040
<v Speaker 2>Which is carport.

0:27:28.200 --> 0:27:30.120
<v Speaker 3>Yeah, it was really incredible, and I sort of when

0:27:30.119 --> 0:27:31.680
<v Speaker 3>we were going to a carport business, I thought it

0:27:31.680 --> 0:27:34.760
<v Speaker 3>would be really obvious, you know which one we were

0:27:34.800 --> 0:27:37.159
<v Speaker 3>going to, but we probably passed like five on the

0:27:37.200 --> 0:27:39.439
<v Speaker 3>way before we got to the one that we were visiting.

0:27:39.560 --> 0:27:41.280
<v Speaker 2>Yeah, it's true, all right.

0:27:41.440 --> 0:27:44.479
<v Speaker 3>Our last clip of the year comes from an episode

0:27:44.520 --> 0:27:47.240
<v Speaker 3>we did with John Coogan. He's the CEO and founder

0:27:47.320 --> 0:27:50.719
<v Speaker 3>of Lucy Nicotine. We sort of talked about the modern

0:27:50.800 --> 0:27:54.600
<v Speaker 3>history of nicotine because obviously nicotine consumption sort of fell

0:27:54.640 --> 0:27:57.880
<v Speaker 3>off as cigarettes got less popular, but then it's been

0:27:57.960 --> 0:28:02.560
<v Speaker 3>surging again obviously over the last decades, first with jewels,

0:28:02.920 --> 0:28:06.000
<v Speaker 3>then other vapes like elf bars, the disposable vapes, and

0:28:06.040 --> 0:28:11.240
<v Speaker 3>now obviously the pouches. Anyway, turns out that these disposable vapes,

0:28:11.280 --> 0:28:15.399
<v Speaker 3>These very tasty flavored vapes, in part exist because of

0:28:15.400 --> 0:28:18.400
<v Speaker 3>the FDA's crackdown unjewels. So take a listen to John.

0:28:18.960 --> 0:28:23.520
<v Speaker 14>It's hard to explain exactly what elf bar is because

0:28:24.119 --> 0:28:29.720
<v Speaker 14>it's kind of a hydra of companies. Like the IP

0:28:29.960 --> 0:28:34.520
<v Speaker 14>has been sold so many times, they've rebranded a million times.

0:28:34.520 --> 0:28:38.280
<v Speaker 14>There's also puff bar and puff stick, and essentially what

0:28:38.320 --> 0:28:41.520
<v Speaker 14>these companies do broadly, I'm not speaking about any particular company,

0:28:41.560 --> 0:28:45.040
<v Speaker 14>but broadly, the strategy has been to instead of engage

0:28:45.080 --> 0:28:49.600
<v Speaker 14>with the FDA directly and file the PMTA, wait for approval,

0:28:49.920 --> 0:28:53.960
<v Speaker 14>then market your product. They've just said, let's push this

0:28:54.080 --> 0:28:57.040
<v Speaker 14>product as many places as possible, get it into every

0:28:57.040 --> 0:29:01.320
<v Speaker 14>independent store that maybe doesn't care about the regulatory status

0:29:01.320 --> 0:29:05.680
<v Speaker 14>of these products. Let's just flood the market with these products.

0:29:05.760 --> 0:29:08.400
<v Speaker 14>And if we get shut down, what's going to happen

0:29:08.640 --> 0:29:12.000
<v Speaker 14>is that we're essentially just have a front company that's

0:29:12.080 --> 0:29:16.160
<v Speaker 14>just a couple random American citizens that are acting as

0:29:16.200 --> 0:29:18.800
<v Speaker 14>a front for us in the US. The FDA is

0:29:18.800 --> 0:29:20.640
<v Speaker 14>not really going to be able to shut them down.

0:29:20.880 --> 0:29:22.760
<v Speaker 14>They're going to try and shut us down at the ports.

0:29:23.080 --> 0:29:25.280
<v Speaker 14>All we need to do then is just set up

0:29:25.320 --> 0:29:29.000
<v Speaker 14>a new company structure and import under a different label.

0:29:29.240 --> 0:29:31.680
<v Speaker 14>So that's how you see the evolution of these things,

0:29:31.680 --> 0:29:34.000
<v Speaker 14>where like I don't even think elf bar is on

0:29:34.040 --> 0:29:35.840
<v Speaker 14>the market anymore. I think it might be called like

0:29:36.240 --> 0:29:37.000
<v Speaker 14>elf tax.

0:29:37.160 --> 0:29:39.600
<v Speaker 3>Yeah no, there's like what they all look the same

0:29:39.720 --> 0:29:42.080
<v Speaker 3>under like different names, and I'm like, is it exactly?

0:29:42.120 --> 0:29:44.440
<v Speaker 14>So they're all made in the same Shenjen like the

0:29:45.000 --> 0:29:48.760
<v Speaker 14>core company behind elf Bar's shenzen I Miracle company. Just

0:29:48.840 --> 0:29:53.440
<v Speaker 14>hilarious name, but it's like the miracle. But then also

0:29:53.720 --> 0:29:56.560
<v Speaker 14>I which I think is like an Apple reference. It's

0:29:56.720 --> 0:29:59.480
<v Speaker 14>very convoluted. But the Shenjin a miracle company. They have

0:29:59.480 --> 0:30:02.120
<v Speaker 14>a massive facility where they make this stuff, and then

0:30:02.160 --> 0:30:05.600
<v Speaker 14>they just find a new front man. And I get

0:30:05.640 --> 0:30:10.760
<v Speaker 14>emails every single day from a new random Gmail account

0:30:11.040 --> 0:30:14.840
<v Speaker 14>that says like puff bar five hundred puffs, like would

0:30:14.880 --> 0:30:16.800
<v Speaker 14>you like to white label this? Because they're looking for

0:30:16.880 --> 0:30:21.760
<v Speaker 14>someone that has American citizenship distribution lines and can order

0:30:21.800 --> 0:30:23.600
<v Speaker 14>their products and then get them into stores.

0:30:24.000 --> 0:30:28.560
<v Speaker 3>Tracy, I love learning about the history of nicotine. I

0:30:28.600 --> 0:30:30.760
<v Speaker 3>have to say I have a friend of mine who

0:30:31.200 --> 0:30:34.040
<v Speaker 3>totally separately happens to be kind of a friend guy

0:30:34.080 --> 0:30:37.040
<v Speaker 3>in the neighborhood who can hear this? He might it's

0:30:37.040 --> 0:30:40.200
<v Speaker 3>all right, a neighbor who's in the nicotine business, and

0:30:40.240 --> 0:30:42.760
<v Speaker 3>he showed me these Gmail emails that.

0:30:42.840 --> 0:30:44.000
<v Speaker 2>Oh, so he gets them too.

0:30:44.160 --> 0:30:46.040
<v Speaker 3>Yeah, but a lot of the ones that he gets

0:30:46.160 --> 0:30:50.640
<v Speaker 3>are from companies offering straight up counterfeit zo or things

0:30:50.720 --> 0:30:53.680
<v Speaker 3>like that, and they say, oh, we can make this packet.

0:30:53.720 --> 0:30:56.440
<v Speaker 3>It looks just like zen we there's the same nicotine,

0:30:56.480 --> 0:30:59.160
<v Speaker 3>et cetera. So I actually think at twenty twenty five,

0:30:59.200 --> 0:31:02.200
<v Speaker 3>there's more to do on the sort of the nicotine

0:31:02.320 --> 0:31:04.800
<v Speaker 3>and drug supply chain, because I think there's actually a

0:31:04.880 --> 0:31:06.520
<v Speaker 3>lot more to fascinating stuff.

0:31:06.720 --> 0:31:09.920
<v Speaker 2>And I also think it's such a perverse regulatory outcome

0:31:10.040 --> 0:31:12.320
<v Speaker 2>where you know, jewel kind of went through the process

0:31:12.480 --> 0:31:15.600
<v Speaker 2>like it was supposed to and then got basically shut down.

0:31:15.680 --> 0:31:19.480
<v Speaker 2>But alf bars have just evaded most of the regulation.

0:31:19.760 --> 0:31:20.960
<v Speaker 3>And they taste like cotton candy.

0:31:21.120 --> 0:31:21.920
<v Speaker 12>Yeah, and you can.

0:31:21.760 --> 0:31:26.120
<v Speaker 2>Find them everywhere, and they're in these like bright colors.

0:31:25.320 --> 0:31:28.960
<v Speaker 2>I stopped after listening to this episode.

0:31:29.040 --> 0:31:29.840
<v Speaker 3>I'm very impressed.

0:31:29.920 --> 0:31:32.560
<v Speaker 2>Yeah, thanks, We're all impressed. Thank you. All right, shall

0:31:32.560 --> 0:31:34.600
<v Speaker 2>we leave it there, Let's leave it there. This has

0:31:34.640 --> 0:31:38.040
<v Speaker 2>been another episode of the Authoughts podcast. I'm Tracy Alloway.

0:31:38.160 --> 0:31:40.080
<v Speaker 2>You can follow me at Tracy Alloway.

0:31:40.360 --> 0:31:43.240
<v Speaker 3>And I'm Jill Wisenthal. You can follow me at the Stalwart.

0:31:43.480 --> 0:31:46.840
<v Speaker 3>Follow our producers Carmen Rodriguez at Carmen Ermann, dash Ol

0:31:46.840 --> 0:31:50.080
<v Speaker 3>Bennett at dashbot in Kilbrooks at Kilbrooks. Thank you to

0:31:50.120 --> 0:31:53.040
<v Speaker 3>our producer Moses Ondam. For more odd Lags content, go

0:31:53.080 --> 0:31:55.880
<v Speaker 3>to Bloomberg dot com slash odd Lots, where we have transcripts,

0:31:55.880 --> 0:31:58.320
<v Speaker 3>a blog and a newsletter and you can chat about

0:31:58.360 --> 0:32:01.120
<v Speaker 3>all of these topics, all ten of these topics and

0:32:01.240 --> 0:32:04.400
<v Speaker 3>mark twenty four to seven in our discord Discord dot

0:32:04.480 --> 0:32:05.800
<v Speaker 3>gg slash odlts.

0:32:05.920 --> 0:32:08.840
<v Speaker 2>And if you enjoy odd Lots, if you appreciate us

0:32:08.880 --> 0:32:11.880
<v Speaker 2>sticking out you know ten interesting things that we learned

0:32:11.920 --> 0:32:14.800
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