WEBVTT - Tracy and Joe Answer All Your Questions

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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 All Thoughts Podcast.

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<v Speaker 2>I'm Tracy Alloway.

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<v Speaker 3>And I'm Joe. Why isn't thal Joe?

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<v Speaker 2>It is the holiday season. I am very much looking

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<v Speaker 2>forward to it. One reason I'm looking forward to it

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<v Speaker 2>is because we always do an annual ask Us Anything show.

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<v Speaker 3>Yeah, you know, I think I liked it in the podcast.

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<v Speaker 3>You know, it's true not about us. I mean, the

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<v Speaker 3>show is about what we're interested in, but it really

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<v Speaker 3>is about the perfect guests. But every once in a while,

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<v Speaker 3>I suppose it's nice to sort of have the microphone

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<v Speaker 3>turned in the other direction, so to speak. Yeah.

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<v Speaker 2>The other thing I would say is we're already pretty accessible,

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<v Speaker 2>Like there's a whole All Thoughts discord that we're on.

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<v Speaker 2>There's Twitter, obviously, there's instant messages on ib and mostly

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<v Speaker 2>we respond depending on how busy we are, so feel

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<v Speaker 2>free to contact us there too. But we did get

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<v Speaker 2>some pretty interesting questions from a bunch of listeners.

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<v Speaker 3>Yeah, and I like the fact that we can put

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<v Speaker 3>in many cases listeners voices on the air bring back

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<v Speaker 3>some of the old time radio call in shows, the

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<v Speaker 3>likes of which I used to listen to when I

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<v Speaker 3>was a young kid writing in the car.

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<v Speaker 4>With my dad.

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<v Speaker 2>Colin shows are Lindy.

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<v Speaker 3>The Colin shows are definitely Lindy. All right, shall we start, Yeah,

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<v Speaker 3>let's take a listen to some.

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<v Speaker 5>John sorrow A sixty three, Berkeley, California. Sometimes when you

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<v Speaker 5>finish recording an episode, do you look at each other

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<v Speaker 5>and say this doesn't meet our standards and kill the

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<v Speaker 5>episode or is it more like skiing? Once you commit

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<v Speaker 5>to writing the chair lift, you commit to skiing down

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<v Speaker 5>the mountain.

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<v Speaker 2>Well, I can't ski. I'm the only Austrian in the

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<v Speaker 2>world possibly who cannot ski. So I'm we have killed

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<v Speaker 2>episode in the past. In fact, there's kind of a

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<v Speaker 2>funny story where we did an episode it really wasn't

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<v Speaker 2>going very well. The guests seem very nervous and just

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<v Speaker 2>sort of like not at his top performance. And in

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<v Speaker 2>the end, after we recorded, we told him, you know,

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<v Speaker 2>we're just going to kill this episode, and he was

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<v Speaker 2>actually really happy about that because he felt he hadn't

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<v Speaker 2>done his best work either. And then the other thing

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<v Speaker 2>I would say is I actually think journalists should kill

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<v Speaker 2>a lot more stories. We should be more selective and

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<v Speaker 2>if you think about the German word for reductor, reductor,

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<v Speaker 2>it sounds a lot like redact, right, which gives you,

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<v Speaker 2>you know, some sense of what editors are supposed to

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<v Speaker 2>be doing, which is taking away as opposed to adding.

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<v Speaker 3>Yeah, it is very rare we have. I mean, the

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<v Speaker 3>number of episodes that we've fully recorded that we actually

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<v Speaker 3>did not release. I think it's less than you could

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<v Speaker 3>on one hand, Right, it's not that many, but there

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<v Speaker 3>have been a few just for whatever reason I guess

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<v Speaker 3>was not on their game or whatever, it didn't work.

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<v Speaker 3>And I agree. I agree with Tracy. I think we

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<v Speaker 3>should do more in general. I mean, I think journalists

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<v Speaker 3>as a whole should do more. It's like, just release

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<v Speaker 3>the good stuff, you know, just released ones you're you're

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<v Speaker 3>genuinely proud of. I don't want to release anything anywhere

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<v Speaker 3>when I can't say I'm really proud of this work.

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<v Speaker 3>And normally we are proud, but occasionally it's like, no,

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<v Speaker 3>this is this is not awesome. All right, let's go

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<v Speaker 3>on to the next one.

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<v Speaker 6>Thanks Joe, Thanks Tracy. I was really inspired by Joe's

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<v Speaker 6>tweets on Moby Dick, so this question is for him.

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<v Speaker 6>What did you read after Moby Dick. Thanks guys, thanks

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<v Speaker 6>for listening.

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<v Speaker 3>That's a very easy one. Because I was such in

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<v Speaker 3>such a mood to keep after reading Moby Dick, I

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<v Speaker 3>didn't want to read anything besides Moby Dick. I sort

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<v Speaker 3>of just thought about rereading it again, and I probably

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<v Speaker 3>will sometime the next year or two. But because I

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<v Speaker 3>was in that mood, I read a book by the

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<v Speaker 3>historian writer CLR. James, who wrote a book about Moby Dick.

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<v Speaker 3>Is a book called Mirrorer's Renegades and Castaways by CLR. James,

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<v Speaker 3>and it basically made the argument that Herman Melville, with

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<v Speaker 3>the Ahab character, specifically anticipated many of the pathologies of

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<v Speaker 3>the twentieth century, the rise of fascism, dictators, and so forth,

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<v Speaker 3>all of the crises of sort of Western civilization that

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<v Speaker 3>we experienced in the twentieth century. Fantastic book, almost as

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<v Speaker 3>good as Moby Dick itself.

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<v Speaker 2>Also, I've been recommending two books to you. One of

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<v Speaker 2>them is The Heart of the Sea, which is about

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<v Speaker 2>the whale ship Essex, which is the ship that mobi

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<v Speaker 2>that actually inspired Moby Dick. And then there's another one

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<v Speaker 2>I'm reading just now called A Marriage at Sea, and

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<v Speaker 2>it's about a couple who are out, you know, sailing

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<v Speaker 2>around the world, and their ship gets destroyed by a

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<v Speaker 2>whale and they have to survive on like a little raft.

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<v Speaker 2>I actually don't know if they survive yet, so I

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<v Speaker 2>guess we'll find out.

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<v Speaker 3>I promise I will read both of those.

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<v Speaker 2>Both of them are excellent.

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<v Speaker 3>I promise I'll read both. Let's hear the next question.

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<v Speaker 7>Hi Yang, longtime listener here. My name is Sturm. I'm

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<v Speaker 7>thirty two and I live in Puerto Rico, and I

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<v Speaker 7>have a question for Joe. I know you're an efficient

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<v Speaker 7>markets guy, but if EMH is true, how have portfolio

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<v Speaker 7>managers accumulated such vast wealth.

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<v Speaker 3>There's a really good question. I wonder about why the

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<v Speaker 3>financial system overall exists. Why are people putting targets on prices,

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<v Speaker 3>and why are their pundits on TV? And why is

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<v Speaker 3>their financial TV? And why is their trading and so forth.

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<v Speaker 3>I still don't really know why the answer of why

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<v Speaker 3>anyone has made any money. But my guess is that

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<v Speaker 3>there are other services that people on finance provide other

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<v Speaker 3>than high quality security selection that whether it's like okay,

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<v Speaker 3>I don't really know how to manage risk or whatever

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<v Speaker 3>it is, or I'm anxious about the thought of investing

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<v Speaker 3>all kinds of things. I guess, you know, there probably

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<v Speaker 3>are people who are able to obtain information that maybe

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<v Speaker 3>counts as alpha probably exists. I don't know. I remain unsatisfied.

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<v Speaker 3>I've asked this question myself. I don't fully know the answer,

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<v Speaker 3>but my guests, my best guess, intuitively is that within

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<v Speaker 3>this world that we call finance, there are things that

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<v Speaker 3>produce value other than sort of you know, making good

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<v Speaker 3>trades and so forth, that maybe are harder to articulate

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<v Speaker 3>and so forth, and thus they are providing a valuable

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<v Speaker 3>service at that front.

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<v Speaker 2>But imling your customers.

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<v Speaker 3>You're counseling something.

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<v Speaker 2>I don't know, but I mean, I would just add

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<v Speaker 2>on to that, like it it seems just on the

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<v Speaker 2>EMH stuff, it seems on a simplistic level, if EMH

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<v Speaker 2>was real, you would never get.

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<v Speaker 8>A bubble, right, this is what?

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<v Speaker 1>Yeah.

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<v Speaker 2>And in fact, one of my favorite moments on the

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<v Speaker 2>podcast was when we interviewed Eugene Fama, the father of

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<v Speaker 2>the EMH I and I think I got him to

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<v Speaker 2>say that like bubbles exist, right, which I was surprised.

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<v Speaker 3>Yeah, I know, they hate like they really wrestle with it,

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<v Speaker 3>like this is there one thing they hate this phenomenon,

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<v Speaker 3>so they come up with all this stuff. But yeah,

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<v Speaker 3>we will continue asking the question of why why do

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<v Speaker 3>we exist? Why does financial media and coverage in pundits

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<v Speaker 3>and all this stuff exist. We will continue answering this question.

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<v Speaker 3>In twenty twenty six, maybe we'll have an answer.

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<v Speaker 2>Only the big questions why are we here?

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<v Speaker 3>Why are we here?

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<v Speaker 2>All right, let's listen to the next question.

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<v Speaker 8>Hi, I'm Max Niederman. I'm nineteen and I live in

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<v Speaker 8>San Francisco. Supposing that AI does end up being as

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<v Speaker 8>transformative as people claim, where do you think the value

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<v Speaker 8>that that creates will accrue? From their valuations and how

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<v Speaker 8>people talk about it, At least in SF, it seems

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<v Speaker 8>people expect the labs to capture a massive chunk of

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<v Speaker 8>that value. On the other hand, the have never been profitable,

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<v Speaker 8>and even then, hardware companies like Navidia and TSMC seem

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<v Speaker 8>to trade at lower multiples despite being near monopolies with

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<v Speaker 8>very good margins. So my question is this, when all

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<v Speaker 8>things are sudden done, which parts of the supply chain

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<v Speaker 8>will be commoditized and which will capture all the value.

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<v Speaker 2>Yeah, I think that's a very fair question. And I think,

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<v Speaker 2>you know, it's difficult to predict if tech at some

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<v Speaker 2>point is going to produce the or invent the proverbial

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<v Speaker 2>AI god, like this thing that solves all of our problems.

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<v Speaker 2>I would be a little bit skeptical of that. It

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<v Speaker 2>seems to me like it's going to be a productivity improvement,

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<v Speaker 2>kind of at the margin for now. So maybe you

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<v Speaker 2>use it instead of Google Search. You can use it

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<v Speaker 2>to explain certain terms much more quickly. Some industries are

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<v Speaker 2>probably going to use it to design new products. I

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<v Speaker 2>know there's a lot of excitement around medicine, but where

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<v Speaker 2>the value will accrue. I mean, some of the big

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<v Speaker 2>tech companies are so expensive right now in the US.

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<v Speaker 2>I keep describing this as the coffee pod theory of AI,

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<v Speaker 2>which is, some tech companies are choosing to basically produce

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<v Speaker 2>the world's most expensive, sophisticated cappuccino machine, and they're saying that,

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<v Speaker 2>you know, it produces the best coffee that you've ever had.

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<v Speaker 2>And crucially, what they're doing is targeting a market for

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<v Speaker 2>this machine. Let's say it costs like two thousand dollars.

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<v Speaker 2>That's basically the entire world, and I'm not sure that

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<v Speaker 2>approach works. And then you know, some other companies are

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<v Speaker 2>taking a very different strategy, and they're producing something that's

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<v Speaker 2>relatively cheap and standardized, sort of like a coffee pod

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<v Speaker 2>coffee maker, and it's much cheaper and again targeting the

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<v Speaker 2>total market of the world. And you know, if you

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<v Speaker 2>think about it that way, I kind of have a

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<v Speaker 2>sense of where it's going.

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<v Speaker 3>I really have no idea, you know. The one thing

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<v Speaker 3>I'll say is, I think there is this view that

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<v Speaker 3>okay Ai can replace human labor, and therefore lots of

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<v Speaker 3>workers are very vulnerable, and therefore there is gonna be

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<v Speaker 3>this tremendous like it'll be this very a force of inequality,

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<v Speaker 3>so to speak. Right, So it's gonna be there's gonna

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<v Speaker 3>be the model makers. And I think in this vision

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<v Speaker 3>that you're asking about these model makers and they're gonna

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<v Speaker 3>make a fortune and the rest of us are going

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<v Speaker 3>to have to get by on Ubi or whatever because

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<v Speaker 3>they've put us all the models have put us all

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<v Speaker 3>out of work, and look, I think that's possible. The

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<v Speaker 3>one thing I'll say, though, is that like the tech

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<v Speaker 3>is a force for like financial inequality, that's already been

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<v Speaker 3>the story. We don't even need to talk about AI.

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<v Speaker 3>With the existing tech giants that we've seen that have

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<v Speaker 3>built over the last fifteen twenty years out of San Francisco,

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<v Speaker 3>we've already seen this incredible rush of sort of wealth

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<v Speaker 3>and income, et cetera to this fairly like small, you know,

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<v Speaker 3>this one industry. This is very like, you know, very small,

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<v Speaker 3>fairly small concentration of software engineers and executives and vcs

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<v Speaker 3>and so forth. And as such, I do wonder, like,

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<v Speaker 3>could it be that somehow it's like totally the opposite,

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<v Speaker 3>that it goes in the other trajectory, and that really

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<v Speaker 3>it's sort of like a force free quality or something,

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<v Speaker 3>and that it ends up being a situation in which

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<v Speaker 3>people were like, capital itself is not as valuable as

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<v Speaker 3>it used to be. I don't know. I just think

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<v Speaker 3>we should possibly consider the idea that what people are

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<v Speaker 3>predicting that will happen with AI is that what is

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<v Speaker 3>literally just an extension of what we've already seen, and

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<v Speaker 3>that to the extent that AI is something new, maybe

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<v Speaker 3>that'll put us on a new trajector. All right, let's

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<v Speaker 3>take another question.

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<v Speaker 4>Hi, Tracy and Joe, this is Jennifer thirty calling from Seattle,

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<v Speaker 4>long time, first time. This question is for Joe. Joe,

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<v Speaker 4>what drew you to your interest in Chinese history, particularly

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<v Speaker 4>it's modern era. Have you ever considered going more back

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<v Speaker 4>in time? I asked, because I'm Chinese American with parents

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<v Speaker 4>who said very little about their lives during the Cultural

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<v Speaker 4>Revolution and the eighties when the country started opening up.

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<v Speaker 4>So I often learned through Joe's tweets and book recommendations.

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<v Speaker 4>But I had also noticed in my last trip to

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<v Speaker 4>China that the one historical figure cities pay the most

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<v Speaker 4>homage to is not Mao or Dungchowping, but actually Sonyette Sen,

0:12:44.400 --> 0:12:47.599
<v Speaker 4>who was a precursor to these leaders. Thanks love the

0:12:47.640 --> 0:12:48.120
<v Speaker 4>show as.

0:12:48.080 --> 0:12:52.120
<v Speaker 3>Always, so obviously we do a lot of contemporary China episodes,

0:12:52.160 --> 0:12:53.559
<v Speaker 3>and it sort of seemed like, you know, I should

0:12:53.559 --> 0:12:56.800
<v Speaker 3>probably understand a little bit more about the history. I

0:12:56.880 --> 0:12:58.600
<v Speaker 3>started with the ancient stuff. I was like, oh, I'm

0:12:58.640 --> 0:13:00.400
<v Speaker 3>just going to I'm just going to go back and

0:13:00.400 --> 0:13:02.360
<v Speaker 3>I'm going to read about the old dynasties and then

0:13:02.400 --> 0:13:04.440
<v Speaker 3>I'll get to the present. And I sort of like,

0:13:04.679 --> 0:13:07.440
<v Speaker 3>I found it a little bit hard. It wasn't grabbing

0:13:07.480 --> 0:13:10.040
<v Speaker 3>my attention to ancient stuff. But then I remembered a

0:13:10.040 --> 0:13:12.199
<v Speaker 3>couple of years ago. We did an episode with Adam

0:13:12.200 --> 0:13:14.520
<v Speaker 3>Posen at the Peterson Institute a couple of years ago

0:13:14.559 --> 0:13:16.600
<v Speaker 3>at Jackson Hall, and he had just sort of mentioned

0:13:16.640 --> 0:13:20.600
<v Speaker 3>offhand that he had read asra Vogel's biography of Don Chopeg,

0:13:21.120 --> 0:13:22.760
<v Speaker 3>and I was like, oh, maybe I'll just start there.

0:13:22.840 --> 0:13:25.120
<v Speaker 3>That seems like more recent and tractable and I could

0:13:25.120 --> 0:13:28.120
<v Speaker 3>sort of slot that into my head into something. And

0:13:28.200 --> 0:13:31.080
<v Speaker 3>I read that and I found it very very compelling,

0:13:31.160 --> 0:13:34.240
<v Speaker 3>as Adam suggested, and I think that sort of set

0:13:34.280 --> 0:13:38.240
<v Speaker 3>off like it. I think reading twentieth century Chinese history

0:13:38.720 --> 0:13:42.560
<v Speaker 3>helps me to some extent understand the present day. I've

0:13:42.600 --> 0:13:46.760
<v Speaker 3>never read a Sunyatsen biography, but I'm very interested in him.

0:13:46.880 --> 0:13:49.360
<v Speaker 3>One of the rare figures who sort of revered in

0:13:49.440 --> 0:13:54.160
<v Speaker 3>both Taiwan and Mainland, and so therefore someone who is

0:13:54.200 --> 0:13:56.960
<v Speaker 3>an inspiration to both the nationalists and the communists, which

0:13:57.000 --> 0:13:58.640
<v Speaker 3>is kind of weird. And he was like sort of

0:13:58.640 --> 0:14:02.559
<v Speaker 3>a for you know, a an early pioneer of land

0:14:02.600 --> 0:14:05.040
<v Speaker 3>reform and so forth. So I think maybe that'll be

0:14:05.080 --> 0:14:07.440
<v Speaker 3>another thing I aim to read in twenty twenty six

0:14:07.480 --> 0:14:09.000
<v Speaker 3>A good signette symbiography.

0:14:09.360 --> 0:14:12.480
<v Speaker 2>I really like the older Chinese history. I read a

0:14:12.559 --> 0:14:14.680
<v Speaker 2>really good book. I can't remember the title now, but

0:14:14.760 --> 0:14:19.600
<v Speaker 2>it was all about the Chinese bureaucracy and government system

0:14:20.200 --> 0:14:23.160
<v Speaker 2>how it used to be, and you know, one of

0:14:23.200 --> 0:14:26.520
<v Speaker 2>the most rigorous systems in the world. Arguably you had

0:14:26.560 --> 0:14:30.120
<v Speaker 2>to take this insane test to get the position. And

0:14:30.400 --> 0:14:33.560
<v Speaker 2>I remember I also did a bunch of research around

0:14:33.600 --> 0:14:37.520
<v Speaker 2>the sort of late eighteen hundred's, early nineteen hundreds, the

0:14:37.600 --> 0:14:40.320
<v Speaker 2>fall of the Imperial family and what it means for

0:14:40.480 --> 0:14:43.600
<v Speaker 2>debt markets. That was a really fun story.

0:14:44.160 --> 0:14:46.960
<v Speaker 3>Yeah, I should go back and read read the ancient

0:14:46.960 --> 0:14:49.720
<v Speaker 3>stuff as well. I'm going to add that to the

0:14:49.920 --> 0:14:51.040
<v Speaker 3>twenty twenty six list.

0:14:51.200 --> 0:14:53.240
<v Speaker 2>Okay, let's take another question.

0:14:53.680 --> 0:14:56.280
<v Speaker 7>I joined Tracy. My name is Danny Bessov. I'm twenty

0:14:56.280 --> 0:14:58.480
<v Speaker 7>six years old and currently based in New York where

0:14:58.480 --> 0:15:01.320
<v Speaker 7>I'm doing my masses at Columbian Financial Economics. I'm a

0:15:01.440 --> 0:15:04.080
<v Speaker 7>huge fan of the pot and Spotify told me in

0:15:04.120 --> 0:15:05.920
<v Speaker 7>the last year I was in the top half percent

0:15:05.920 --> 0:15:08.720
<v Speaker 7>of listeners and maybe now the first time caller as well.

0:15:09.440 --> 0:15:12.240
<v Speaker 7>My question is this, you have such a wide range

0:15:12.280 --> 0:15:14.800
<v Speaker 7>of guests with very different backgrounds, and you cover an

0:15:14.920 --> 0:15:17.880
<v Speaker 7>enormous amount of information. How much of that are you

0:15:17.920 --> 0:15:20.760
<v Speaker 7>able to retain and not really call back in everyday

0:15:20.800 --> 0:15:24.360
<v Speaker 7>conversations or when you do follow up episodes? And how

0:15:24.440 --> 0:15:27.000
<v Speaker 7>much do you rely on not taking or revisiting past

0:15:27.040 --> 0:15:29.320
<v Speaker 7>episodes to connect your ideas over time?

0:15:31.040 --> 0:15:33.240
<v Speaker 2>This is a really good question. This is a sort

0:15:33.280 --> 0:15:36.480
<v Speaker 2>of journalistic process question. By the way, thank you for

0:15:36.520 --> 0:15:39.680
<v Speaker 2>being in the top top percentage of Odd Lots listeners.

0:15:39.680 --> 0:15:40.560
<v Speaker 2>We appreciate that.

0:15:40.520 --> 0:15:41.560
<v Speaker 3>It's good coffee sometime.

0:15:42.400 --> 0:15:47.480
<v Speaker 2>But going back to the question, you know it kind

0:15:47.480 --> 0:15:50.160
<v Speaker 2>of this is obvious, but it kind of depends on

0:15:50.280 --> 0:15:54.240
<v Speaker 2>the guest, and if the guest says something memorable or

0:15:54.280 --> 0:15:57.520
<v Speaker 2>something that you really think is insightful. I think we

0:15:57.600 --> 0:16:00.400
<v Speaker 2>do retain some of that information. I used to retain

0:16:00.480 --> 0:16:03.680
<v Speaker 2>a lot more when we were editing our own transcripts

0:16:03.720 --> 0:16:07.920
<v Speaker 2>and publishing them. I really value transcripts, but it was

0:16:08.040 --> 0:16:11.240
<v Speaker 2>just so much work and took forever, so we stopped

0:16:11.240 --> 0:16:13.760
<v Speaker 2>doing it. We're hoping to come up with some sort

0:16:13.800 --> 0:16:18.200
<v Speaker 2>of solution soon. And the biggest compliment I can pay

0:16:18.200 --> 0:16:20.800
<v Speaker 2>a guest is saying that, like, I'm going to go

0:16:20.880 --> 0:16:23.960
<v Speaker 2>back and read the transcript because there's so much knowledge, there,

0:16:24.160 --> 0:16:29.359
<v Speaker 2>so much information. I just have to absorb all of it.

0:16:29.360 --> 0:16:31.080
<v Speaker 3>It was funny. I was a dinner the other night

0:16:31.160 --> 0:16:33.720
<v Speaker 3>with someone and I said to them, have you ever

0:16:33.760 --> 0:16:36.480
<v Speaker 3>actually learned anything from listening to a podcast? Because I

0:16:36.520 --> 0:16:39.440
<v Speaker 3>do sometimes wonder if I ever remember anything. No, that's

0:16:39.440 --> 0:16:42.960
<v Speaker 3>not totally true. I do, but I also sometimes wonder

0:16:43.200 --> 0:16:47.400
<v Speaker 3>setting a side podcasts and recall the specific facts. I

0:16:47.440 --> 0:16:49.400
<v Speaker 3>also have the same thing with books. You know, we

0:16:49.400 --> 0:16:52.120
<v Speaker 3>were just talking about that Dunk Show Pang biography. And

0:16:52.160 --> 0:16:54.560
<v Speaker 3>if someone's like, oh, Joe, you just spent three weeks

0:16:54.600 --> 0:16:57.360
<v Speaker 3>of your life reading a biography of Dunk Shopang, what

0:16:57.440 --> 0:17:00.440
<v Speaker 3>did you learn? And I'd be like, uh, he sort

0:17:00.440 --> 0:17:02.640
<v Speaker 3>of opened up and for a while he was sent

0:17:02.720 --> 0:17:06.680
<v Speaker 3>down to work on a tractor factory, and then he

0:17:06.760 --> 0:17:08.840
<v Speaker 3>opened up, and I would be like, you know, there's

0:17:08.960 --> 0:17:10.320
<v Speaker 3>like I was like, oh, did I really need to

0:17:10.359 --> 0:17:12.119
<v Speaker 3>spend three weeks of my life to be able to

0:17:12.160 --> 0:17:15.960
<v Speaker 3>recall four basic facts. I suppose that there are things

0:17:16.000 --> 0:17:17.800
<v Speaker 3>that I don't know that I remember, and like my

0:17:17.880 --> 0:17:20.600
<v Speaker 3>deep storage part of my memory that would be you know,

0:17:20.880 --> 0:17:24.280
<v Speaker 3>that would come out in a conversation. But I do

0:17:24.560 --> 0:17:27.040
<v Speaker 3>going back to questions of like why are we all

0:17:27.080 --> 0:17:29.840
<v Speaker 3>here and so forth. I do sometimes have these thoughts

0:17:29.880 --> 0:17:32.639
<v Speaker 3>of like do you know how much? How much do

0:17:32.680 --> 0:17:35.679
<v Speaker 3>we really learn and internalize? And how much is it

0:17:35.760 --> 0:17:37.440
<v Speaker 3>just fun to have these conversations.

0:17:37.680 --> 0:17:41.119
<v Speaker 2>Sometimes we surprise ourselves, yeah, right, Like sometimes we come

0:17:41.200 --> 0:17:43.840
<v Speaker 2>up with some random fact that's kind of interesting that

0:17:43.880 --> 0:17:47.320
<v Speaker 2>we learned from somewhere. Just on the note taking part

0:17:47.359 --> 0:17:51.240
<v Speaker 2>of the question. We generally don't take notes in the interview.

0:17:51.240 --> 0:17:54.000
<v Speaker 2>We might jot down like a word or two just

0:17:54.320 --> 0:17:57.960
<v Speaker 2>to remember to come back and ask a follow up question.

0:17:58.560 --> 0:18:04.479
<v Speaker 2>But yeah, it's a genuine conversation between three people, and

0:18:04.520 --> 0:18:06.760
<v Speaker 2>we try to keep it as natural as possible.

0:18:07.560 --> 0:18:11.160
<v Speaker 9>Hey, Joe and Tracy aj Toss here. I'm thirty seven

0:18:11.240 --> 0:18:13.679
<v Speaker 9>years old and I'm from Lafayette, Louisiana.

0:18:13.800 --> 0:18:14.760
<v Speaker 5>Go Cajun's.

0:18:15.119 --> 0:18:17.160
<v Speaker 9>I have a question for you about bitcoin. You guys

0:18:17.200 --> 0:18:21.600
<v Speaker 9>have spoken about how the narrative around bitcoin changes every cycle,

0:18:22.200 --> 0:18:24.399
<v Speaker 9>and so I'd actually like to ask you to make

0:18:24.440 --> 0:18:27.280
<v Speaker 9>a prediction whether you think there will be another cycle

0:18:27.320 --> 0:18:31.360
<v Speaker 9>for bitcoin where it way out performs everything else, and

0:18:32.800 --> 0:18:36.600
<v Speaker 9>assuming that it does, what would the narrative be this time?

0:18:37.600 --> 0:18:38.240
<v Speaker 5>Thanks guys.

0:18:40.000 --> 0:18:43.440
<v Speaker 2>That is a really good question. So the narrative theory

0:18:43.520 --> 0:18:47.880
<v Speaker 2>of bitcoin is this idea that because bitcoin is essentially nothing,

0:18:48.040 --> 0:18:52.440
<v Speaker 2>it is able to transform itself into anything. So we've

0:18:52.480 --> 0:18:58.080
<v Speaker 2>seen it go through these various cycles of transformation, reinventing itself.

0:18:58.359 --> 0:19:01.080
<v Speaker 2>You know, in the beginning, it was supposed to be

0:19:01.320 --> 0:19:04.680
<v Speaker 2>just a digital payment system. And there's the famous incident

0:19:04.800 --> 0:19:08.040
<v Speaker 2>of the guy that bought a pizza and lost a

0:19:08.080 --> 0:19:11.239
<v Speaker 2>lot of money that he otherwise would have gained. And

0:19:11.280 --> 0:19:13.240
<v Speaker 2>then it kind of, you know, it turned into an

0:19:13.240 --> 0:19:19.160
<v Speaker 2>inflation hedge. More recently, it's turned into a Trump vehicle.

0:19:20.200 --> 0:19:23.159
<v Speaker 2>I actually had it. I had an idea for a

0:19:23.280 --> 0:19:27.160
<v Speaker 2>narrative that comes next. But I'm blanking out on it totally.

0:19:27.400 --> 0:19:28.320
<v Speaker 2>I feel really bad.

0:19:29.160 --> 0:19:31.600
<v Speaker 3>You'll tweet it if yeah, I'll tweet it.

0:19:31.600 --> 0:19:33.480
<v Speaker 2>It was like two days ago, oh man, and I

0:19:33.520 --> 0:19:35.720
<v Speaker 2>had this idea and sorry, I'm very tired.

0:19:35.760 --> 0:19:36.520
<v Speaker 3>It'll come back to it.

0:19:36.520 --> 0:19:38.240
<v Speaker 2>It's the end of a busy season.

0:19:38.320 --> 0:19:40.800
<v Speaker 3>It's it's been a busy season, busy year. Look, I

0:19:40.840 --> 0:19:43.320
<v Speaker 3>have no you know. I was like, oh, now I'm

0:19:43.320 --> 0:19:46.440
<v Speaker 3>going to give the official odd lots for Bitcoin price

0:19:46.480 --> 0:19:48.760
<v Speaker 3>target for twenty twenty six. No, I really have no idea.

0:19:48.760 --> 0:19:52.159
<v Speaker 3>I don't have any idea of it'll outperform again. You know,

0:19:52.200 --> 0:19:56.040
<v Speaker 3>of course it has been pronounced dead several times many

0:19:56.080 --> 0:19:59.280
<v Speaker 3>times over the years, so perhaps that's always the reason

0:19:59.400 --> 0:20:01.880
<v Speaker 3>to disc out the idea of okay, this time is dead.

0:20:02.119 --> 0:20:06.080
<v Speaker 3>That being said, you know, look like the I thought

0:20:06.240 --> 0:20:09.159
<v Speaker 3>one of the most compelling arguments that had of the

0:20:09.200 --> 0:20:11.200
<v Speaker 3>various narratives over time, I thought one of the most

0:20:11.520 --> 0:20:13.480
<v Speaker 3>compelling ones had been that it would be sort of

0:20:13.520 --> 0:20:17.919
<v Speaker 3>this you know, post sovereign money and therefore kind of

0:20:17.920 --> 0:20:21.040
<v Speaker 3>like a digital gold safe haven. It has not been

0:20:21.119 --> 0:20:24.080
<v Speaker 3>behaving like one in twenty twenty five. I mean, this

0:20:24.200 --> 0:20:27.120
<v Speaker 3>is one of the most volatile years on memory. From

0:20:27.119 --> 0:20:30.840
<v Speaker 3>like a de globalization and geopolitical standpoint. If you'd think

0:20:30.880 --> 0:20:33.960
<v Speaker 3>there'd be one year where it's like, okay, people want

0:20:34.000 --> 0:20:38.200
<v Speaker 3>some sort of money that is disconnected from governments, maybe

0:20:38.240 --> 0:20:40.080
<v Speaker 3>this would be the year. Maybe they do, but they're

0:20:40.119 --> 0:20:43.840
<v Speaker 3>choosing for gold. They're choosing the actual safe haven. Bitcoin meanwhile,

0:20:43.840 --> 0:20:47.080
<v Speaker 3>has underperformed US treasuries. So the US treasuries yet another

0:20:47.240 --> 0:20:50.360
<v Speaker 3>safe haven that is outperforming Bitcoin in twenty twenty five.

0:20:50.760 --> 0:20:53.600
<v Speaker 3>So I really don't know, but I do think that

0:20:53.680 --> 0:20:59.480
<v Speaker 3>the poor performance in twenty twenty five should be something

0:20:59.560 --> 0:21:02.320
<v Speaker 3>of a certain Again, people have always said, oh, it's

0:21:02.359 --> 0:21:04.320
<v Speaker 3>a tech stock hitch well, techtocks have had or a

0:21:04.400 --> 0:21:07.359
<v Speaker 3>textdoc proxy textocks have done great this year, So it

0:21:07.400 --> 0:21:11.119
<v Speaker 3>hasn't even it hasn't even satisfied that requirement. And then

0:21:11.160 --> 0:21:13.280
<v Speaker 3>the last thing I'll say is that there's a lot

0:21:13.320 --> 0:21:17.600
<v Speaker 3>of I think legitimate enthusiasm about crypto, particularly in the

0:21:17.640 --> 0:21:21.480
<v Speaker 3>realm of stable coins, getting back to maybe the original idea,

0:21:21.480 --> 0:21:24.560
<v Speaker 3>as Tracy mentioned, of a payments platform, but all that

0:21:24.680 --> 0:21:28.800
<v Speaker 3>is happening on other chains besides Bitcoin, and so even

0:21:28.840 --> 0:21:31.840
<v Speaker 3>if crypto becomes more of a thing in the financial system,

0:21:32.119 --> 0:21:35.879
<v Speaker 3>it's not obvious possible, but it's certainly not obvious that

0:21:35.960 --> 0:21:38.000
<v Speaker 3>Bitcoin would see any benefit from it.

0:21:38.359 --> 0:21:42.480
<v Speaker 2>I do think, though, we shouldn't underestimate bitcoin's ability to

0:21:42.520 --> 0:21:45.359
<v Speaker 2>reinvent itself. And this actually took me a long time

0:21:45.560 --> 0:21:49.800
<v Speaker 2>to realize. And you know, he mentioned the obituaries for crypto.

0:21:50.080 --> 0:21:53.480
<v Speaker 2>I wrote some of those, like I think in twenty twelve,

0:21:53.600 --> 0:21:54.359
<v Speaker 2>I wrote one.

0:21:55.200 --> 0:21:56.680
<v Speaker 3>Yea, so we've all learned our list.

0:21:56.840 --> 0:21:58.920
<v Speaker 2>May I kulpa on that. We'll see what happens.

0:22:14.520 --> 0:22:15.720
<v Speaker 3>All right, let's take another question.

0:22:15.960 --> 0:22:20.320
<v Speaker 10>Hello, Joan Tracy. This is Cynthia from Vancouver, Canada. What

0:22:20.480 --> 0:22:23.639
<v Speaker 10>is something that Marqua seems really confident about that you

0:22:23.760 --> 0:22:27.160
<v Speaker 10>think deserves more questioning or more nuanced discussion.

0:22:28.000 --> 0:22:31.520
<v Speaker 3>You know, first of all, thanks Cynthia for calling in.

0:22:31.840 --> 0:22:34.959
<v Speaker 3>The first thing that comes to my mind is I

0:22:35.000 --> 0:22:37.240
<v Speaker 3>have been I wrote about this recently in the Odd

0:22:37.320 --> 0:22:40.800
<v Speaker 3>Lots newsletter. I am kind of surprised about how well

0:22:40.840 --> 0:22:45.320
<v Speaker 3>anchored market based expectations for inflation have been, because there

0:22:45.400 --> 0:22:48.560
<v Speaker 3>is I think pretty legitimate. There's two things going on.

0:22:48.560 --> 0:22:51.520
<v Speaker 3>One is, you know, the FED hasn't missed its inflation

0:22:51.840 --> 0:22:55.200
<v Speaker 3>target for years, and so there's perhaps reasons to think

0:22:55.240 --> 0:22:59.000
<v Speaker 3>that just already that the FED hasn't been as serious

0:22:59.040 --> 0:23:02.120
<v Speaker 3>about two percent as it had been before. But then

0:23:02.160 --> 0:23:04.520
<v Speaker 3>also I do think there are good reasons to think

0:23:04.640 --> 0:23:07.800
<v Speaker 3>that in the future the FED will not have the

0:23:07.840 --> 0:23:10.920
<v Speaker 3>same capacity to target stable prices the way it used

0:23:10.960 --> 0:23:14.679
<v Speaker 3>to due to politicization, due to the general sort of

0:23:14.760 --> 0:23:18.760
<v Speaker 3>like populist trend in politics, which is not something distinct

0:23:18.800 --> 0:23:21.639
<v Speaker 3>to the Trump administration. That certainly I think the Trump

0:23:21.680 --> 0:23:25.080
<v Speaker 3>administration has accelerated that process with a lot of the

0:23:25.119 --> 0:23:30.000
<v Speaker 3>criticism of the chairman and so forth, and so like,

0:23:30.400 --> 0:23:32.719
<v Speaker 3>I am a bit surprised that if you look at

0:23:32.800 --> 0:23:36.080
<v Speaker 3>various market based measures of future inflation, five year, five

0:23:36.160 --> 0:23:40.480
<v Speaker 3>year break events, and so forth, that it has been

0:23:40.600 --> 0:23:44.920
<v Speaker 3>pretty stable, because that feels disconnected from the way that

0:23:45.000 --> 0:23:47.480
<v Speaker 3>we basically talk about this topic.

0:23:47.880 --> 0:23:51.480
<v Speaker 2>Mine is also related to inflation. I think far more

0:23:51.520 --> 0:23:55.400
<v Speaker 2>people need to figure out how the CPI official numbers

0:23:55.400 --> 0:24:00.280
<v Speaker 2>for inflation are actually calculated and produced. And you know,

0:24:00.640 --> 0:24:04.480
<v Speaker 2>ultimately a lot of it is a series of numbers

0:24:04.600 --> 0:24:08.359
<v Speaker 2>that are estimated. Those are called imputed numbers, and a

0:24:08.400 --> 0:24:12.680
<v Speaker 2>lot of them are actual observations of prices which Bureau

0:24:12.840 --> 0:24:16.000
<v Speaker 2>of Labor Services people go out and collect. It's actually

0:24:16.080 --> 0:24:22.000
<v Speaker 2>a really labor intensive thing to do, and most people,

0:24:22.160 --> 0:24:25.520
<v Speaker 2>you know, they treat them like as a simplistic number,

0:24:25.560 --> 0:24:27.560
<v Speaker 2>and I think it's much more important to look at

0:24:27.600 --> 0:24:33.520
<v Speaker 2>the different components. And actually we're recording this on December eighteenth,

0:24:33.520 --> 0:24:35.840
<v Speaker 2>and we're seeing a really good example of why it's

0:24:35.880 --> 0:24:40.959
<v Speaker 2>important to know how CPI is actually calculated, because you know,

0:24:41.440 --> 0:24:44.920
<v Speaker 2>the number just came out much lower than expected, and

0:24:45.200 --> 0:24:47.960
<v Speaker 2>it's interesting if you start to break it down to

0:24:48.040 --> 0:24:52.320
<v Speaker 2>see what assumptions were made and what's actually moving all.

0:24:52.280 --> 0:24:54.520
<v Speaker 3>Right, for the next question. This one was just written

0:24:54.960 --> 0:24:56.720
<v Speaker 3>as a post on audio note, but it's a really

0:24:56.720 --> 0:24:59.000
<v Speaker 3>fun one where Tracy and I kind of see the

0:24:59.000 --> 0:25:01.560
<v Speaker 3>world a little bit different, so we have a chance

0:25:01.600 --> 0:25:05.680
<v Speaker 3>to get into that. This question comes from Diego Aguilar Cannibell.

0:25:05.920 --> 0:25:08.600
<v Speaker 3>He has where did my intellectual beef with the idea

0:25:08.640 --> 0:25:11.600
<v Speaker 3>of the term premium start? And look, so this is

0:25:11.640 --> 0:25:14.360
<v Speaker 3>something that's come up. People talk about the term premium

0:25:14.680 --> 0:25:17.560
<v Speaker 3>in the in the yield curve, and I'm always like,

0:25:17.640 --> 0:25:20.920
<v Speaker 3>what exactly does that mean? So you know the way,

0:25:21.080 --> 0:25:23.920
<v Speaker 3>like I guess, Tracy, let's tart with you. What is

0:25:23.960 --> 0:25:26.520
<v Speaker 3>the term premium? Don't ask me, I'm not gonna define it.

0:25:26.680 --> 0:25:28.120
<v Speaker 3>How do you What is the term premium?

0:25:28.520 --> 0:25:33.080
<v Speaker 2>It is basically the extra compensation or premium that investors

0:25:33.080 --> 0:25:36.120
<v Speaker 2>demand to hold debt, you know, out longer term.

0:25:36.440 --> 0:25:38.439
<v Speaker 3>Okay, so here's what I don't get. Why do they

0:25:38.480 --> 0:25:41.919
<v Speaker 3>deserve extra compensation? Why don't they just deserve the appropriate compensation?

0:25:42.119 --> 0:25:43.040
<v Speaker 3>Like I buy stocks?

0:25:43.119 --> 0:25:43.399
<v Speaker 7>Do I?

0:25:43.440 --> 0:25:46.480
<v Speaker 3>Oh, I deserve extra compensation because they're risky. No, I

0:25:46.960 --> 0:25:50.680
<v Speaker 3>deserve appropriate compensation. I deserve to be compensated, I suppose,

0:25:51.000 --> 0:25:53.119
<v Speaker 3>But I hate this idea of like extra compensation. We

0:25:53.160 --> 0:25:56.560
<v Speaker 3>always want extra compensation. But then also, I guess my

0:25:56.640 --> 0:26:00.439
<v Speaker 3>other issue is that, like I think, if you knew,

0:26:00.680 --> 0:26:04.000
<v Speaker 3>if you if you had a crystal ball and you

0:26:04.080 --> 0:26:06.679
<v Speaker 3>knew for sure what the FED was going to do

0:26:06.880 --> 0:26:10.520
<v Speaker 3>in every policy meeting, it would make for the next

0:26:10.800 --> 0:26:13.440
<v Speaker 3>ten years. You know, there's eighty years, so the next

0:26:13.480 --> 0:26:15.560
<v Speaker 3>eighty meetings, if you knew what that was going to be,

0:26:16.119 --> 0:26:18.879
<v Speaker 3>I think you would know the exact price that ten

0:26:18.960 --> 0:26:21.120
<v Speaker 3>year yields should treat it. And so I don't really

0:26:21.200 --> 0:26:25.560
<v Speaker 3>understand why we can't just say that the yield curve

0:26:25.880 --> 0:26:29.400
<v Speaker 3>is the market's expectation of overnight rates for the next

0:26:29.440 --> 0:26:30.120
<v Speaker 3>ten years.

0:26:30.200 --> 0:26:33.919
<v Speaker 2>Well, it's it's in comparison, so the extra premium is

0:26:33.960 --> 0:26:37.119
<v Speaker 2>in comparison to shorter term bonds, and there are some

0:26:37.240 --> 0:26:40.840
<v Speaker 2>calculations that go into that. I think it's it's, you know,

0:26:41.320 --> 0:26:44.080
<v Speaker 2>not the be all and end hall of the market,

0:26:44.160 --> 0:26:46.679
<v Speaker 2>but it's certainly an interesting thing to look at. And

0:26:46.720 --> 0:26:50.360
<v Speaker 2>when we get big moments in the term premium's movement,

0:26:50.520 --> 0:26:54.879
<v Speaker 2>you know, if it flips from positive to negative, it

0:26:55.240 --> 0:26:57.800
<v Speaker 2>kind of tells you a lot about where the market's going.

0:26:58.040 --> 0:27:00.880
<v Speaker 3>Okay, on this point, though, let's just press further there.

0:27:00.920 --> 0:27:03.280
<v Speaker 3>I think there's really key, which is so they're right,

0:27:03.840 --> 0:27:07.800
<v Speaker 3>everyone admits these are unobservable, right, these are models. There's

0:27:07.840 --> 0:27:11.000
<v Speaker 3>are models that indicate what this notional term premium is.

0:27:11.480 --> 0:27:13.719
<v Speaker 3>The fact that it can flip to negative and it

0:27:13.800 --> 0:27:17.000
<v Speaker 3>was negative for much of the twenty tens suggests to

0:27:17.040 --> 0:27:19.160
<v Speaker 3>me like that's another reason, Like I don't understand how

0:27:19.240 --> 0:27:22.560
<v Speaker 3>this idea that there is holders of long term debt

0:27:22.840 --> 0:27:26.280
<v Speaker 3>per se need extra because of extra protection or whatever,

0:27:26.640 --> 0:27:29.840
<v Speaker 3>because apparently they were actually going to a discount on

0:27:29.920 --> 0:27:32.399
<v Speaker 3>it if we go by the model, what the model

0:27:32.440 --> 0:27:35.040
<v Speaker 3>said in the twenty tens. So I just find the

0:27:35.080 --> 0:27:37.880
<v Speaker 3>whole thing. I just find it all very unsatisfying.

0:27:38.640 --> 0:27:41.720
<v Speaker 2>I would also say the term premium beef. We play

0:27:41.720 --> 0:27:43.480
<v Speaker 2>it up a little bit for the show.

0:27:43.560 --> 0:27:44.520
<v Speaker 3>So let up for the show.

0:27:44.560 --> 0:27:47.040
<v Speaker 2>We hope you enjoy. All right, this is going to

0:27:47.080 --> 0:27:48.400
<v Speaker 2>be our final question.

0:27:48.640 --> 0:27:48.920
<v Speaker 8>Again.

0:27:49.000 --> 0:27:52.199
<v Speaker 2>This one was written in rather than a voice note,

0:27:52.400 --> 0:27:55.399
<v Speaker 2>so here we go. It is from Michael Kahn. He

0:27:55.760 --> 0:27:59.800
<v Speaker 2>asks a non markets question, more specifically for me to

0:28:00.160 --> 0:28:03.880
<v Speaker 2>see what was your favorite magic the gathering card and

0:28:03.920 --> 0:28:08.600
<v Speaker 2>what critical function did it serve in your deck? Bonus question,

0:28:08.840 --> 0:28:12.080
<v Speaker 2>if you and Joe were a magic card, which ones

0:28:12.119 --> 0:28:17.119
<v Speaker 2>would you be? That's a very fun question. Okay, so

0:28:17.400 --> 0:28:22.480
<v Speaker 2>my favorite was probably my Chevon Dragon. I like the

0:28:22.560 --> 0:28:25.320
<v Speaker 2>idea of dragons, and it had really nice art and

0:28:25.560 --> 0:28:29.439
<v Speaker 2>at the time it was a really valuable and powerful card.

0:28:30.000 --> 0:28:33.400
<v Speaker 2>By the way, I don't know if I'm pronouncing Chavon right,

0:28:33.520 --> 0:28:37.119
<v Speaker 2>whether it's Chavon or Chyvon. Like, we didn't have a

0:28:37.160 --> 0:28:40.480
<v Speaker 2>lot of pronunciation guides when I was in middle school.

0:28:40.520 --> 0:28:43.320
<v Speaker 2>And I also just don't remember how people were saying

0:28:43.360 --> 0:28:46.000
<v Speaker 2>these things. It was like thirty years ago. And I

0:28:46.040 --> 0:28:50.720
<v Speaker 2>say that just because someone someone on Twitter or read

0:28:50.760 --> 0:28:54.120
<v Speaker 2>it was criticizing me for not knowing that a card

0:28:54.160 --> 0:28:57.840
<v Speaker 2>that Joe mentioned was an actual card. Yeah, I didn't

0:28:57.880 --> 0:28:59.480
<v Speaker 2>know that. I thought you were making it up. I

0:28:59.480 --> 0:29:02.680
<v Speaker 2>mean sounds like, oh, you know, an obvious magic card.

0:29:02.800 --> 0:29:06.040
<v Speaker 3>I know nothing at all about magic. I've never played it.

0:29:06.160 --> 0:29:08.920
<v Speaker 3>I really, I just I don't know how the game works,

0:29:09.000 --> 0:29:12.080
<v Speaker 3>et cetera. All I only remember one fact, which is

0:29:12.120 --> 0:29:14.520
<v Speaker 3>that one of my good friend's brother younger brother in

0:29:14.600 --> 0:29:17.760
<v Speaker 3>high school had a call called Wall of Brambles. Actually,

0:29:17.920 --> 0:29:21.080
<v Speaker 3>this gets to like the question about memorization. Who the

0:29:21.160 --> 0:29:23.600
<v Speaker 3>heck knows how that random fact got stuck in my

0:29:23.680 --> 0:29:26.160
<v Speaker 3>head or what. But this is I hear magic and

0:29:26.160 --> 0:29:28.120
<v Speaker 3>I just remember this card. I just looked it up.

0:29:29.000 --> 0:29:31.520
<v Speaker 3>It looks like this card would cost somewhere between twenty

0:29:31.560 --> 0:29:34.920
<v Speaker 3>five and thirty cents, so I'm certainly not memorizing it

0:29:34.960 --> 0:29:37.320
<v Speaker 3>because there's a particularly valuable or important card.

0:29:37.640 --> 0:29:42.160
<v Speaker 2>And then what role did the dragon play in my deck?

0:29:42.960 --> 0:29:46.200
<v Speaker 2>I think I said this on the podcast. I really

0:29:46.760 --> 0:29:51.280
<v Speaker 2>enjoyed the collecting side of magic, the gathering, more than

0:29:51.360 --> 0:29:55.800
<v Speaker 2>I enjoyed actually playing it. You know, there's some gender

0:29:55.880 --> 0:29:58.800
<v Speaker 2>imbalance at the time, and it like sometimes felt weird to,

0:29:59.480 --> 0:30:02.080
<v Speaker 2>you know, go to war with a bunch of guys.

0:30:02.520 --> 0:30:05.520
<v Speaker 2>But I really enjoyed putting together the decks and sort

0:30:05.560 --> 0:30:09.560
<v Speaker 2>of strategizing, and I guess I didn't enjoy testing them

0:30:09.560 --> 0:30:12.840
<v Speaker 2>out that much. What would we be if we were

0:30:13.640 --> 0:30:14.760
<v Speaker 2>a card?

0:30:14.760 --> 0:30:16.400
<v Speaker 3>Tra you got to you gotta answer this then.

0:30:16.480 --> 0:30:18.960
<v Speaker 2>If all thoughts or if us It says if you

0:30:19.040 --> 0:30:25.720
<v Speaker 2>and Joe were a magic card, So give me a second. Okay,

0:30:26.040 --> 0:30:29.600
<v Speaker 2>full disclosure. I just asked chat GPT because this seems

0:30:29.680 --> 0:30:34.080
<v Speaker 2>like a kind of fun question, and the AI generated

0:30:34.120 --> 0:30:38.800
<v Speaker 2>answer is we would be a blue red legendary creature

0:30:39.360 --> 0:30:43.719
<v Speaker 2>that rewards drawing cards, talking about weird market mechanics, and

0:30:43.760 --> 0:30:47.360
<v Speaker 2>turning every small data point into a big compounding advantage.

0:30:48.320 --> 0:30:52.840
<v Speaker 2>I'm not sure how you would incorporate discussions about markets

0:30:52.880 --> 0:30:55.600
<v Speaker 2>into a Magic the Gathering game, but you know, it's

0:30:55.680 --> 0:30:59.280
<v Speaker 2>nice to hear we could be a dragon. I would say, like,

0:30:59.560 --> 0:31:04.320
<v Speaker 2>maybe we would be a Vesuven Doppelganger. And I say

0:31:04.360 --> 0:31:08.560
<v Speaker 2>that partly because I'm sort of biased to the older cards,

0:31:08.640 --> 0:31:11.640
<v Speaker 2>the ice age cards that came out in the mid

0:31:11.720 --> 0:31:16.600
<v Speaker 2>nineties for obvious reasons, and I think the doppelganger, you know,

0:31:17.040 --> 0:31:22.760
<v Speaker 2>they obviously compliment each other, and their actual power in

0:31:22.800 --> 0:31:25.400
<v Speaker 2>the game from what I remember, is they can take

0:31:25.440 --> 0:31:30.440
<v Speaker 2>on the characteristics of any creature that's actually in play,

0:31:30.520 --> 0:31:33.840
<v Speaker 2>or most of the characteristics, And I think that's you know,

0:31:34.240 --> 0:31:37.160
<v Speaker 2>that's kind of what we do. We try to adapt

0:31:37.240 --> 0:31:41.000
<v Speaker 2>that's right to every conversation to get the best result.

0:31:41.480 --> 0:31:43.880
<v Speaker 3>That's right. I also asked you a gpetitas. I didn't

0:31:43.880 --> 0:31:47.959
<v Speaker 3>really understand. I don't I don't even understand it's results.

0:31:47.960 --> 0:31:50.440
<v Speaker 3>But then it said why this works to Joe generates

0:31:50.480 --> 0:31:57.000
<v Speaker 3>flow motion liquidity, and Tracy imposes structure, friction and narrative discipline,

0:31:57.040 --> 0:31:59.480
<v Speaker 3>which I think many listeners would actually sort of agree

0:31:59.520 --> 0:32:02.000
<v Speaker 3>with it sort of. Yeah, it doesn't off, so.

0:32:02.080 --> 0:32:04.360
<v Speaker 2>That's not bad. But it's not a Magic the Gathering.

0:32:04.120 --> 0:32:07.120
<v Speaker 3>No, no, no, I didn't even understand like all this stuff.

0:32:07.120 --> 0:32:10.120
<v Speaker 3>I can't even I don't know too you are legend.

0:32:10.120 --> 0:32:11.400
<v Speaker 3>I don't know what any of this stuff is.

0:32:11.720 --> 0:32:11.880
<v Speaker 4>Oh.

0:32:12.120 --> 0:32:15.160
<v Speaker 2>I do have some good news, which is remember I

0:32:15.200 --> 0:32:17.560
<v Speaker 2>said that I had lost all my Magic the Gathering

0:32:17.560 --> 0:32:20.160
<v Speaker 2>cards and I didn't know where they were. My mom

0:32:20.240 --> 0:32:25.040
<v Speaker 2>actually found them in her basement. They were sort of

0:32:25.160 --> 0:32:28.880
<v Speaker 2>hidden away. The bad news is I really don't have

0:32:28.960 --> 0:32:32.120
<v Speaker 2>any valuable ones. I still have the Shaffon Dragon, and

0:32:32.200 --> 0:32:34.960
<v Speaker 2>I have one that was signed by the artist, but

0:32:35.280 --> 0:32:35.959
<v Speaker 2>that's about it.

0:32:36.280 --> 0:32:38.600
<v Speaker 3>I'm surprised there's not one in there, Like, is there

0:32:38.640 --> 0:32:41.840
<v Speaker 3>like an antiques road show style show for Magic the

0:32:41.880 --> 0:32:44.160
<v Speaker 3>Gathering Cards? Like maybe we could do an episode like

0:32:44.200 --> 0:32:46.960
<v Speaker 3>it's some guy and hear some dealer and like talk

0:32:47.040 --> 0:32:48.880
<v Speaker 3>through the cards or something like that. I would do that.

0:32:48.960 --> 0:32:52.960
<v Speaker 2>Yeah, that would be really So this is the end

0:32:53.280 --> 0:32:56.320
<v Speaker 2>of the AMA. Thank you everyone for sending in all

0:32:56.360 --> 0:32:59.280
<v Speaker 2>these great questions. We had a lot of fun answering them.

0:32:59.480 --> 0:33:01.800
<v Speaker 3>Yeah, and thank you everyone, just for an end of

0:33:01.880 --> 0:33:04.920
<v Speaker 3>your crazy year, great year, So really thank you to

0:33:05.000 --> 0:33:07.719
<v Speaker 3>everyone who everyone who's listened.

0:33:07.920 --> 0:33:10.680
<v Speaker 2>And yeah, we definitely hope you listen in twenty twenty

0:33:10.720 --> 0:33:14.360
<v Speaker 2>six because we have some excellent episodes coming up. So

0:33:15.320 --> 0:33:16.120
<v Speaker 2>shall we leave it there.

0:33:16.200 --> 0:33:16.960
<v Speaker 3>Let's leave it there.

0:33:17.200 --> 0:33:20.160
<v Speaker 2>This has been another episode of the Odd Lots podcast.

0:33:20.320 --> 0:33:23.840
<v Speaker 2>I'm Tracy Alloway. You can follow me at Tracy Alloway and.

0:33:23.800 --> 0:33:26.480
<v Speaker 3>I'm Jill Wisenthal. You can follow me at the Stalwart.

0:33:26.680 --> 0:33:30.080
<v Speaker 3>Definitely follow our producers Carmen Rodriguez at Carman Arman dash

0:33:30.120 --> 0:33:33.080
<v Speaker 3>Ol Bennett at Dashbot and kill Brooks at Kilbrooks. For

0:33:33.160 --> 0:33:35.840
<v Speaker 3>more Odd Laws content, gode Bloomberg dot com, slash odd

0:33:35.880 --> 0:33:38.360
<v Speaker 3>Lots were a daily newsletter and all of our episodes,

0:33:38.560 --> 0:33:40.520
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<v Speaker 3>four to seven in our discord Discord dot gg slash

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<v Speaker 3>out Lots.

0:33:44.720 --> 0:33:47.360
<v Speaker 2>And if you enjoy odd Lots, if you want us

0:33:47.400 --> 0:33:51.640
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0:33:51.680 --> 0:33:54.360
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