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<v Speaker 1>It's night Side with Dan Ray. I'm telling you Boston's video.

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<v Speaker 2>Sorry, well, we're welcome back everybody ten o'clock hour here

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<v Speaker 2>on nights. I thank you very much, Dan Watkins. It

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<v Speaker 2>is a pennal eight or so at this point, and

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<v Speaker 2>we have been.

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<v Speaker 3>Following the ups and downs of the stock market, the

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<v Speaker 3>dramatic ups and downs of the United States stock market

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<v Speaker 3>well for the last six editions of Nightside, beginning last Thursday, Friday, Monday, Tuesday, Wednesday,

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<v Speaker 3>and today.

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<v Speaker 2>The market had a huge day yesterday across the board,

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<v Speaker 2>up up Wednesday on the Nasdaq, the S and P

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<v Speaker 2>five hundred, the S and P on Wednesday was up

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<v Speaker 2>nine point five two percent, Jones, the Dow was up

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<v Speaker 2>twenty nine hundred points yesterday. The thirty sec thirty stock

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<v Speaker 2>group of companies skyrocketed yesterday. Well today it kind of

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<v Speaker 2>went back in the opposite direction. The S and P

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<v Speaker 2>five hundred down three and a half percent. On Thursday,

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<v Speaker 2>the Dow tumbled a thousand points, down two point five percent,

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<v Speaker 2>and the Nasdaq Tech heavy NASDAK as they say, down

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<v Speaker 2>four point three one percent. How do you make any

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<v Speaker 2>sense of this? And what should you do? There's someone

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<v Speaker 2>who I have talked to. He's not a stock picker.

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<v Speaker 2>He's not a financial analyst, although I'm sure he could

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<v Speaker 2>he could be that he's one of the smartest guys

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<v Speaker 2>I know. Tatsu Eketa uh Tatsu is the CEO of

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<v Speaker 2>a company called tech Health Ventures, co founder of refers

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<v Speaker 2>ship AI. He has twenty five years of experience in

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<v Speaker 2>technology consulting, business leadership to his analysis of the intersection

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<v Speaker 2>between policy, economics and technology. Graduate of Carnegie Mellon, which

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<v Speaker 2>I think is probably the school that has the smartest

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<v Speaker 2>people in the world. Tats, who has run five businesses,

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<v Speaker 2>served on nonprofit boards of directors. His expertise includes blockchain, cryptocurrency,

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<v Speaker 2>tech startups, cloud computing, iOS, app development, and network infrastructure.

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<v Speaker 2>Speaks on AI, Python development, emerging technology. He also writes

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<v Speaker 2>and he publishes on substack. Tatsu ikeda welcome tonight'side. How

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<v Speaker 2>are you, sir?

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<v Speaker 4>Good? Thank you Dan. Good to be with again.

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<v Speaker 2>Yes, I'll tell you it's great to have you back,

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<v Speaker 2>that is for sure. So we'll start off with general questions.

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<v Speaker 2>You have I think a brilliant piece, a brilliant piece

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<v Speaker 2>that you released. I guess it was April ninth, which

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<v Speaker 2>would have been yesterday. Trump's tariffs, trade reset or market disruption.

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<v Speaker 2>That's the question behind Wall Street market bro panic, Liiza

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<v Speaker 2>more nuanced reality. The US consumer economy remains the ace

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<v Speaker 2>up the sleeve and global trade negotiations. So we're going

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<v Speaker 2>to break this down. First of all, tell us a

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<v Speaker 2>little bit about what you do. You write, you think,

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<v Speaker 2>you publish. What amazes me is that your article, which

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<v Speaker 2>is easily acceptable, accessible, I should say at your website

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<v Speaker 2>not only is in written form, but it's also in

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<v Speaker 2>verbal form. Do you want to tell us how that's done?

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<v Speaker 4>Sure, So I publish on substack because I'm a little

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<v Speaker 4>too good for the New York Times. Just kidding.

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<v Speaker 2>They should be so lucky, they should be so lucky tat,

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<v Speaker 2>So go ahead.

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<v Speaker 4>Yeah. So I try to write in a very accessible manner,

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<v Speaker 4>as you say, for general readers, but try to try

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<v Speaker 4>to explain very high level concepts. So you know, I

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<v Speaker 4>try to teach PhD material to twelfth grade students, and

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<v Speaker 4>that's how I that's how I approach my writing. And

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<v Speaker 4>I do take cues from New York Times because they

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<v Speaker 4>have a very good narrative form in terms of how

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<v Speaker 4>people accept journalism. So then I take that article that

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<v Speaker 4>I write and I try to keep it short, you know,

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<v Speaker 4>three thousand words, and then I feed it into AI,

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<v Speaker 4>which can now generate a podcast for me. And so

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<v Speaker 4>that podcast is about seventeen minutes. It actually makes it

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<v Speaker 4>in three minutes, which is kind of amazing if you

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<v Speaker 4>think about.

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<v Speaker 2>It, because I was listening to the podcast, and as

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<v Speaker 2>a matter of fact, today I asked you, you know,

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<v Speaker 2>who are your narrators? Those are a that's AI technology there,

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<v Speaker 2>it's yes, it's it's generated voices. Is what it is.

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<v Speaker 2>Was the male and a female voice, which basically can

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<v Speaker 2>walk people through your article. Your articles are so direct

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<v Speaker 2>and clear that when I say they're easy to read,

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<v Speaker 2>they can be. They're challenging, and they will. They don't

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<v Speaker 2>use baby words or anything like that, but it's very clear.

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<v Speaker 2>So let's start off a little bit with with this article,

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<v Speaker 2>and if people want to join the conversation, you break

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<v Speaker 2>it down into like sub sections. Okay, it's only three

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<v Speaker 2>thousand words. So the introduction you is entitled predictable market

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<v Speaker 2>market panic. Predictable market panic with a nice cartoon of

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<v Speaker 2>tariffs some Wall Street. It looks like people with telephones

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<v Speaker 2>that they are markets plunge. Algorithm algorithm algorithm algorithm panic,

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<v Speaker 2>the parents that work correctly algorithm panic. Explain to my

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<v Speaker 2>audience what algorithm panic means.

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<v Speaker 4>Well, it means that most of the stock market activity

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<v Speaker 4>that you follow, if you follow at all, is mostly computerized, right,

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<v Speaker 4>So it's automated, and so the trading practices or algorithms

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<v Speaker 4>if you want, are mostly computer controlled, and it's it's

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<v Speaker 4>steered by human behavior. So and that's the panic that

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<v Speaker 4>we talk about. But so so it's.

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<v Speaker 2>Not it's not it's not like five hundred traders on

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<v Speaker 2>the floor making individual decisions and cumulatively that becomes the

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<v Speaker 2>direction of the market, which is what it used to be.

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<v Speaker 2>Now as there's algorithms that have been put into computers

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<v Speaker 2>which say, if all of a sudden, uh a video

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<v Speaker 2>uh drops two percent, then it's time to really sell,

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<v Speaker 2>uh and and and and and nothing's going to stop

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<v Speaker 2>that from selling, right. Uh.

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<v Speaker 4>There's there are things called like stop losses and other

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<v Speaker 4>jargon to basically cut your losses at a certain point

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<v Speaker 4>and sell. And so that's that's what's going on. You know,

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<v Speaker 4>everyone's like in a panic, sell because some guy decided

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<v Speaker 4>to put some teras and by the way, you can,

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<v Speaker 4>you can catch uh all the all all the articles.

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<v Speaker 4>It's called tap this newsletter on sub stack by the way.

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<v Speaker 2>Yeah, we'll we'll get that. And and I yeah, that's

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<v Speaker 2>that's going to be easy. We'll give up, certainly, we'll

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<v Speaker 2>we'll mention that. So, so you talked that he said

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<v Speaker 2>critical facts behind the hysteria, Behind the hysteria you talk about,

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<v Speaker 2>you know, President Trump, you know, imposes this ten percent

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<v Speaker 2>tariff on all the imports on April fifth and then

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<v Speaker 2>targeted rates on China. And is that a personal thing

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<v Speaker 2>with Trump? Do you think or is your analysis that

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<v Speaker 2>this is actually thought through, because many of my listeners

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<v Speaker 2>are beginning to doubt the wisdom of the guy that

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<v Speaker 2>wrote Art of the Deal.

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<v Speaker 4>Right. Well, he's been very consistent since the nineteen eighties.

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<v Speaker 4>It's very easy to find videos with him on Oprah.

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<v Speaker 4>You know, I'm not sure what you're in nineteen eighties,

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<v Speaker 4>but he's been railing this message that America has unfayed

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<v Speaker 4>unfair trade partners across the world, whether it be you know, Japan, China.

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<v Speaker 4>He's been saying this for decades and so he's trying to,

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<v Speaker 4>you know, reset the position of the US as a

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<v Speaker 4>trading partner, not just for you know, balancing our budgets,

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<v Speaker 4>but also to bring back industry to the US. And

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<v Speaker 4>you know, there's examples of this that have worked in

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<v Speaker 4>the past. So yeah, I think I think he's making

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<v Speaker 4>a bold move. He you know, he might might say

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<v Speaker 4>it's gambling, but I think it's an educated, educated one,

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<v Speaker 4>and one with few downsides, right.

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<v Speaker 2>Okay, So so so let me ask you a question.

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<v Speaker 2>As a historian, and you're a pretty good historian, it

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<v Speaker 2>seems to me that our generosity to the rest of

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<v Speaker 2>the world may have begun post World War Two with

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<v Speaker 2>the Marshall Plan to rebuild Europe. Am I far off

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<v Speaker 2>point on that.

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<v Speaker 4>Yeah, And there after World War Two we rebuilt Germany,

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<v Speaker 4>we rebuilt Japan, like I, for example, I like to

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<v Speaker 4>collect antiques that they made and occupied Germany or made

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<v Speaker 4>and occupied Japan, and so literally rebuilt their industries and

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<v Speaker 4>they had you know, think they made car companies, electronics

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<v Speaker 4>and so forth. But then they started to retaliate on us, right,

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<v Speaker 4>so they instituted their tariffs, which no one talks about today. Strangely,

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<v Speaker 4>because like, if terrorists are such a bad thing, why

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<v Speaker 4>does it work for the rest of the world because

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<v Speaker 4>they do it to us. Right.

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<v Speaker 2>I read a statistic that said ninety four percent of

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<v Speaker 2>the cars in Japan are manufactured in Japan and that

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<v Speaker 2>they import only six percent. That is that it's a

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<v Speaker 2>very interesting statistic that they're able to control the infusion

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<v Speaker 2>of foreign made cars into their country. Obviously they see

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<v Speaker 2>that as something that's beneficial to.

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<v Speaker 4>Them, right, Yeah, So if it works for them, like

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<v Speaker 4>can't we why why can't we allow ourselves as Americans

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<v Speaker 4>to try to do the same thing. Like it's a

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<v Speaker 4>very confounding idea that if currents work for other countries,

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<v Speaker 4>why can't we make some work for us.

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<v Speaker 2>It's sort of what's good for the goose is good

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<v Speaker 2>for the gander argument, I guess, when reduced the most

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<v Speaker 2>simple form. But my guest is Tatsu Ikeda. He is

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<v Speaker 2>a writer and a thinker. He is an expert on

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<v Speaker 2>so many areas that I know little or nothing about.

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<v Speaker 2>I stand in in absolute admiration in awe of his

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<v Speaker 2>knowledge base. If you had any questions about any of

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<v Speaker 2>the related topics that we mentioned earlier, and you'd like

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<v Speaker 2>to ask a question or compare your your point of

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<v Speaker 2>view with Tatsu, would be happy to take your call

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<v Speaker 2>six one seven, two five four ten thirty or seven

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<v Speaker 2>six one seven uh six one seven nine three one

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<v Speaker 2>ten thirty. So we got six one seven two five

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<v Speaker 2>four to ten thirty and six one seven nine three

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<v Speaker 2>one ten thirty. We're going to walk through this. There's

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<v Speaker 2>also have some amazing statistics that Tatsu has in this

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<v Speaker 2>article that talks about how quickly our stock market has

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<v Speaker 2>recovered and if the past is prologue. I think we

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<v Speaker 2>should talk about those issues, and we'll do that when

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<v Speaker 2>we get back on Nightside. Feel free to join this conversation,

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<v Speaker 2>whether you agree or disagree. I think we'll all learn

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<v Speaker 2>quite a bit in the next next forty minutes or so.

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<v Speaker 1>Coming back on Nightside, It's Nightside with Dan Ray on

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<v Speaker 1>Boston's Lose Right.

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<v Speaker 2>We're joined by Tatsu Ikeda and Tatsu, you have a

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<v Speaker 2>graph in your article in Substack which I think is

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<v Speaker 2>really interesting, and that graph breaks down the recent you

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<v Speaker 2>go back to Black Monday nineteen eighty seven, the two

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<v Speaker 2>thousand Dot Com bubble, the two thousand and eight financial crisis,

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<v Speaker 2>the twenty twenty COVID nineteen crash, twenty twenty two inflation,

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<v Speaker 2>inflation rate, hike and the twenty twenty four tech correction,

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<v Speaker 2>and it's amazing that steep Wall Street losses, for the

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<v Speaker 2>most part, we're restored pretty quickly, much more quickly than

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<v Speaker 2>I think most of us. Remember, explain, you don't have

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<v Speaker 2>to hit all the numbers, but explain it's the principle

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<v Speaker 2>that you seem to have found in this market recoveries

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<v Speaker 2>after major crashes. Graph that you developed.

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<v Speaker 4>Yeah, sure, sir, vocabulary and terminology around market dips tends

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<v Speaker 4>to be greatly exaggerated. And if you look at the headlines,

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<v Speaker 4>you would say that, oh my god, the stock market crashed,

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<v Speaker 4>and you know, define the word crash basically. So I

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<v Speaker 4>actually wouldn't consider the current dip in our correction as

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<v Speaker 4>the finance bros like to say, as a crash, because

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<v Speaker 4>it's not even to the levels of COVID the twenty

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<v Speaker 4>twenty crash and the twenty twenty crash. I mean, how

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<v Speaker 4>long did it take to recover that, like nine months?

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<v Speaker 4>And then the stock market continued to actually record highs, right,

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<v Speaker 4>so just just nine months under a year, and that

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<v Speaker 4>we were back to boom times. And the boom times

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<v Speaker 4>were for people, people in finance, people on Wall Street,

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<v Speaker 4>not not for us, you know then the normal citizenry

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<v Speaker 4>who got fourteen dollars in COVID relief for some some

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<v Speaker 4>business loans or you know things like that.

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<v Speaker 2>Sure, so what what So as you look at this,

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<v Speaker 2>there's there's some wildcards on the table here. We have uh,

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<v Speaker 2>these uh, these tariffs which were first imposed and then

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<v Speaker 2>withdrawn and ninety day cooling off period. Where do you

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<v Speaker 2>think will be ninety days from now? Do you think

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<v Speaker 2>that President Trump will get many of these other nations,

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<v Speaker 2>probably not all, but many other nations around the world

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<v Speaker 2>to comply with these reciprocal lower tariffs. Or do you think, uh,

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<v Speaker 2>the world is going to stand up to to the

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<v Speaker 2>United States and say, no, we're not gonna We're not

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<v Speaker 2>going to cooperate. What's your guess?

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<v Speaker 4>Well, I hate to uh make an unintentional toun but

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<v Speaker 4>the US economy is basically a consumer economy, and that's

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<v Speaker 4>Trump's trump card, right. So we we buy everything, most

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<v Speaker 4>of the products in the world from every country, and

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<v Speaker 4>every every country exports to us. So if we stop

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<v Speaker 4>buying from the rest of the world, everyone else goes

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<v Speaker 4>out of business. That's It's as simple as that. So

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<v Speaker 4>that's that's a very very persuasive card to, you know,

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<v Speaker 4>put down on a table if you're playing poker.

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<v Speaker 2>And so I think so, then then let me ask

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<v Speaker 2>you this is President Trump smart to as opposed to

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<v Speaker 2>sticking with the Plan Plan A. Is he smart to

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<v Speaker 2>have said, Okay, we'll take a ninety day cooling off

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<v Speaker 2>period and we'll try to get as many of these

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<v Speaker 2>negotiated as possible. I mean, did he make a mistake?

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<v Speaker 2>You're not doing that initially it would be the flip

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<v Speaker 2>side of that question.

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<v Speaker 4>Oh no, I think it was wise to, you know,

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<v Speaker 4>throw down a very hard hand on the table, just

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<v Speaker 4>bang your hand on the table and say enough, you know.

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<v Speaker 4>And he needs ninety days because there's going to be

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<v Speaker 4>a lot of negotiations with a lot of different dustries.

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<v Speaker 4>So he's going to have to have a lot of

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<v Speaker 4>his administration deal with all these individual deals. So I

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<v Speaker 4>mean just just imagine if you're the RS and you

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<v Speaker 4>have a million people not paying their taxes, Like, what

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<v Speaker 4>are you going to do? You need time to sort

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<v Speaker 4>that out. So it's okay, moratorium, come to us, or

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<v Speaker 4>we'll come to you. Let's talk it out. Well, that's

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<v Speaker 4>what the ninety day.

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<v Speaker 2>Is about will most of these deals have to be

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<v Speaker 2>reduced to writing tatsu or are they going to be

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<v Speaker 2>handshake deals and you keep an eye on us, We'll

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<v Speaker 2>keep an eye on you. And as long as you

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<v Speaker 2>as long as you comply, will comply.

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<v Speaker 4>Well, I think someone's going to be watching that very carefully.

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<v Speaker 4>I think it will be in writing. There's going to

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<v Speaker 4>be an opportunity. Trump is going to allow other leaders

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<v Speaker 4>in other countries to say face you know, that's the

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<v Speaker 4>smart play for him is to let them come to us,

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<v Speaker 4>you know, maybe come to the White House, whatever you

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<v Speaker 4>want to do, and and make a deal. It's like, Okay,

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<v Speaker 4>I made a deal with Trump, I'm good. Vote for

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<v Speaker 4>me again.

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<v Speaker 2>So how do they How does he avoid more embarrassments

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<v Speaker 2>like these Lensky meeting.

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<v Speaker 4>Oh yeah, Zolensky, that's just a different case. He almost

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<v Speaker 4>had it there. I think Zolensky just had a very

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<v Speaker 4>emotional moment. I don't I can't tell you if it

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<v Speaker 4>was programmed or not. But it's clear that he was

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<v Speaker 4>out of his league. And well he's kind of like

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<v Speaker 4>other leaders like uh Natanyahu. He's on a string and

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<v Speaker 4>if he doesn't retain power, it's very likely he could

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<v Speaker 4>be under prosecution for various other activities in his life.

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<v Speaker 2>So yeah, I get you. Yeah, let me take a

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<v Speaker 2>quick break. My guest is a tatsu Ikeda. He is

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<v Speaker 2>an expert on so many things. I mentioned it earlier.

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<v Speaker 2>He's someone who does go ahead, I'm sorry, did you

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<v Speaker 2>want to say something? Oh, now I think I'm sorry.

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<v Speaker 2>I was. I just got to rap here because they

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<v Speaker 2>got to go to the news. I was saying that

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<v Speaker 2>you are an expert on a lot of things that

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<v Speaker 2>are all sort of coming into play here, things like blockchain, cryptocurrency,

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<v Speaker 2>tech startups, cloud computing, all of that which in this

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<v Speaker 2>new system of trading that we have. And uh and

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<v Speaker 2>also international relations, a graduate of Carnegie Mellon. Let's take

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<v Speaker 2>a break, and we'll get a newscast and we'll open

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<v Speaker 2>this up for phone calls as well. Six one, seven, two, five, four,

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<v Speaker 2>ten thirty six one seven, nine, three, one, ten thirty.

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<v Speaker 2>It has been a crazy week now eight days. It's

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<v Speaker 2>been a it's been a rough time. But if you

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<v Speaker 2>listen to tatsu uh, it makes some sense of it.

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<v Speaker 2>Uh and and sees some structure that may be many

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<v Speaker 2>of us in the moment of panic don't see. And

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<v Speaker 2>that's why I'm having him with us tonight, and that's

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<v Speaker 2>why he's kind enough to give us some time. He

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<v Speaker 2>writes for sub stack, and we'll give you all sorts

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<v Speaker 2>of ways to follow his writings. And it's amazing how

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<v Speaker 2>clear he is with explaining really complicated concepts. And then

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<v Speaker 2>he takes that article that he's written again proximately three

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<v Speaker 2>thousand words, and transposes it into an AI generated conversation

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<v Speaker 2>of about seventeen minutes. So you can read the article,

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<v Speaker 2>listen to the article, or do what I did and

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<v Speaker 2>do both. We'll be back on Nightside with my guest

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<v Speaker 2>Tatsu Akda right after this.

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<v Speaker 1>You're on Nightside with Dan Ray on WBZ Boston's news radio.

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<v Speaker 2>We're talking with my guest Tatsu Ikeda. He is he's

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<v Speaker 2>a thinker, I mean, and he writes for substack. Uh.

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<v Speaker 2>And before we get to phone calls Tatsu. The easiest

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<v Speaker 2>way they just go to substack and look for your columns, Tatsu,

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<v Speaker 2>t A T s U I kDa I K E

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<v Speaker 2>d A. Is that the easiest way.

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<v Speaker 4>For Tatsu's newsletter? Actually?

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<v Speaker 2>Okayst fair enough on at substack at substack. Okay, So

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<v Speaker 2>they got to get to substack and look for Tatsu's newsletter.

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<v Speaker 2>Let's get to some phone calls and incorporate some of

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<v Speaker 2>our listeners into the conversation. Steve is in Cambridge. Steve

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<v Speaker 2>is one of my best callers. I always mentioned that,

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<v Speaker 2>but I actually firmly believe that, Steve. You're on with

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<v Speaker 2>Tatsu kDa.

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<v Speaker 5>Go right ahead, Steve Tatsu. Dan is always too kind

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<v Speaker 5>to me. But thank you, Dan Tatsu.

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<v Speaker 1>Uh.

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<v Speaker 5>I'm glad to hear some optimism. Uh. But here is

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<v Speaker 5>one argument. I have two arguments. Here's one argument against tariffs.

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<v Speaker 5>In the nineteen sixties, we had three automakers, big automakers

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<v Speaker 5>in this country, and they were very, very complacent, so

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<v Speaker 5>they kept putting out the same product year after Your

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<v Speaker 5>heavy cars used a lot of gasoline. And then we

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<v Speaker 5>started having Japanese imports, and people preferred those cars. They

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<v Speaker 5>got better gas mileage, they were more nimbo then and

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<v Speaker 5>only then did our car makers start to innovate, so

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<v Speaker 5>that competition actually helped the American auto industry. How would

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<v Speaker 5>you respond to that argument.

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<v Speaker 4>I totally agree. I don't see the relationship between innovation

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<v Speaker 4>and tariffs.

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<v Speaker 5>The you know, if we had had if we had

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<v Speaker 5>had a high tariff on Japanese cars, they never would

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<v Speaker 5>have entered into our market, and then our automakers wouldn't

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<v Speaker 5>have had to compete with them, and they would have

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<v Speaker 5>just stayed the same.

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<v Speaker 4>Right, So I think that's what Trump is going for.

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<v Speaker 4>I mean, the ultimate goal would be zero terriffs across

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<v Speaker 4>the board for every country.

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<v Speaker 5>Right, that's I would that's totally free trade, yes, right, So.

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<v Speaker 4>I don't think Trump will get us there because you know,

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<v Speaker 4>basically tariffs and US are higher against our tariffs against

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<v Speaker 4>the rest of the world essentially, So you know, maybe

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<v Speaker 4>if we get to fifty of the difference, that's pretty decent.

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<v Speaker 5>And but for example, for the consumer, consumer thinks day

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<v Speaker 5>to day. For example, I enjoy cigars. Most of the

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<v Speaker 5>cigars come from Central America or the Caribbean. If they

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<v Speaker 5>put a terrify it in addition to paying the high

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<v Speaker 5>taxes I have to pay for cigars, the price is

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<v Speaker 5>going to go up and consumers aren't going to like

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<v Speaker 5>that in the short run.

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<v Speaker 4>Right, Yeah, there's going to be a lot of turmoil.

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<v Speaker 4>I mean, with every innovation, whether it's financial or technological,

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<v Speaker 4>there's just going to be lots of turn and some

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<v Speaker 4>things will go up, some things will go down. I mean,

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<v Speaker 4>if we look at today's news, inflation across the board,

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<v Speaker 4>is that record level lows.

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<v Speaker 5>Oh I'm so glad to hear that. Yeah, yeah, okay,

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<v Speaker 5>I'm waiting for my cigar prices to go down, but

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<v Speaker 5>the taxes keep going up, so I guess that's not

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<v Speaker 5>going to happen.

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<v Speaker 2>Well, gas prices have also dropped in the last couple

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<v Speaker 2>of months. There's no question about that, right, Yes, there is,

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<v Speaker 2>there is, Yeah, is dropped as well. Go ahead, So.

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<v Speaker 5>Let me ask you one question, one more question. Why

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<v Speaker 5>is it that all of our news reporting is so

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<v Speaker 5>uh negative on Trump's tariffs?

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<v Speaker 6>Yeah?

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<v Speaker 4>The right, you know, if you want to be a

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<v Speaker 4>leftist and call it the far right, ultramaga, whatever names

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<v Speaker 4>you want to put to it. I believe that, you know,

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<v Speaker 4>Trump is just the epitome of some kind of evil

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<v Speaker 4>or something like this, and uh, I find it hard

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<v Speaker 4>to accept. You know, He's just human being, and I

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<v Speaker 4>think they're just being very rational to be.

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<v Speaker 5>You think our media is being irrational because of their

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<v Speaker 5>dislike of Trump.

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<v Speaker 4>Yeah, that's part of it. The other part of it

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<v Speaker 4>is the media is an instrument of you know, various

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<v Speaker 4>powerful establishment figures we shall not mention at the moment,

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<v Speaker 4>and they're literally, you know, puppets of those people. So

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<v Speaker 4>they have a narrative that's pre destined to tell. So

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<v Speaker 4>all right, well listen.

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<v Speaker 5>Thank you. I'm really really glad that you're on the

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<v Speaker 5>show tonight to hear a somewhat different perspective than is

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<v Speaker 5>being out there for most of the media. Dan, thank you, Thank.

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<v Speaker 2>You absolutely our pleasure. Steve, thank you very much. I

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<v Speaker 2>appreciate your call. Let me very quickly. I'm going to

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<v Speaker 2>raise some points that are raised Tatsu, and I'd like

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<v Speaker 2>to get your response to them. Some who are very

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<v Speaker 2>critical of Trump's plans here are saying this is really

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<v Speaker 2>a lost cause because it will take five to ten

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<v Speaker 2>years to construct factories to be able to compete. This

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<v Speaker 2>is not something that we can turn around. It's almost

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<v Speaker 2>as if the the forverbial horses have left the barn.

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<v Speaker 2>What is I know? The response is the best time

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<v Speaker 2>to plant a tree is yesterday, but the best time

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<v Speaker 2>to start building a new factory is yesterday. How do

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<v Speaker 2>you respond to that? Do we have the capacity quickly

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<v Speaker 2>to bring jobs back and open factories here and and

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<v Speaker 2>start what we what we need to do. Tell us

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<v Speaker 2>about it.

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<v Speaker 4>Yeah, well, I mean we have to get better about

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<v Speaker 4>you know, planning, building, managing factories. We can do things

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<v Speaker 4>the old way, you know. Obviously we live in Boston,

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<v Speaker 4>so we know the world's most expensive construction project in

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<v Speaker 4>the world, the Big Dig, right, fifteen years of total

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<v Speaker 4>chaos and over overruns in the budgets and so on.

418
00:29:18.480 --> 00:29:21.480
<v Speaker 4>Or you know, we can try to be more like China,

419
00:29:21.880 --> 00:29:26.519
<v Speaker 4>which is building the world's highest bridge. It literally looks

420
00:29:26.519 --> 00:29:31.920
<v Speaker 4>like a skyscraper, but vertical, horizontal in the sky, really

421
00:29:32.920 --> 00:29:40.079
<v Speaker 4>crossing to to mountains in southwestern China. And that's you know,

422
00:29:40.240 --> 00:29:43.160
<v Speaker 4>they built, they build, They build these things in like

423
00:29:43.920 --> 00:29:44.319
<v Speaker 4>a year.

424
00:29:44.839 --> 00:29:48.039
<v Speaker 2>You know, where do they get the capital? Where do

425
00:29:48.039 --> 00:29:50.519
<v Speaker 2>they get the capitol to do that? I mean that

426
00:29:50.640 --> 00:29:53.000
<v Speaker 2>sounds like an extraordinary.

427
00:29:54.839 --> 00:30:00.920
<v Speaker 4>Project, right, Yeah. The rate at which China of you know,

428
00:30:01.359 --> 00:30:05.599
<v Speaker 4>builds infrastructure not just from the cells, but for Africa,

429
00:30:06.759 --> 00:30:11.279
<v Speaker 4>they're building entire deports and you know, opening up trade

430
00:30:11.359 --> 00:30:15.039
<v Speaker 4>for African countries and there's a benefit for them because

431
00:30:15.240 --> 00:30:18.000
<v Speaker 4>they you know, China wants to be the major trading

432
00:30:18.000 --> 00:30:22.920
<v Speaker 4>partner obviously, because they're building these things for free for them.

433
00:30:22.920 --> 00:30:25.920
<v Speaker 2>And they're building is it called Is it called the Silk.

434
00:30:25.720 --> 00:30:32.000
<v Speaker 4>Road, right? Yeah, the Silk Road. Yeah, so you know.

435
00:30:32.839 --> 00:30:34.799
<v Speaker 2>Which is is intended to cross.

436
00:30:34.559 --> 00:30:40.480
<v Speaker 4>Asia, right, Asia, Asia to Europe and in Africa. Yes,

437
00:30:40.680 --> 00:30:45.119
<v Speaker 4>so very ambitious, but I think they're going to succeed.

438
00:30:45.440 --> 00:30:50.680
<v Speaker 4>You know, they're they're you know this, this goes back

439
00:30:50.720 --> 00:30:59.599
<v Speaker 4>a long way. African countries like Ivory Coast and New Guinea,

440
00:30:59.799 --> 00:31:05.279
<v Speaker 4>they used to be after post colonial Europe. You know,

441
00:31:05.319 --> 00:31:09.160
<v Speaker 4>they used to be training partners with America now building

442
00:31:09.400 --> 00:31:14.559
<v Speaker 4>electro hydro dams, you know, leaders like Krame and Kroma

443
00:31:15.839 --> 00:31:19.440
<v Speaker 4>and so forth. So but we missed out. I mean,

444
00:31:19.839 --> 00:31:24.039
<v Speaker 4>we built the dam in uh Krouma, but the second

445
00:31:24.119 --> 00:31:28.400
<v Speaker 4>dam is going to be built by China. And where

446
00:31:28.440 --> 00:31:30.880
<v Speaker 4>they get the money from, well, they get the money

447
00:31:30.880 --> 00:31:33.960
<v Speaker 4>from the US consumer, you know. To bring this conversation

448
00:31:34.039 --> 00:31:35.640
<v Speaker 4>full circle, yes.

449
00:31:35.559 --> 00:31:40.720
<v Speaker 2>And that's exactly what I want you to do. Yeah, yeah, yeah, Okay,

450
00:31:41.240 --> 00:31:43.759
<v Speaker 2>that's the point I wanted you. I wanted to make.

451
00:31:43.880 --> 00:31:45.640
<v Speaker 2>Let me do this. I got to take a quick break.

452
00:31:45.720 --> 00:31:48.279
<v Speaker 2>We have packed lines here, so I think you're going

453
00:31:48.279 --> 00:31:51.640
<v Speaker 2>to be interested in some of the folks questions that

454
00:31:51.680 --> 00:31:56.079
<v Speaker 2>are coming in. My guest, Tatsu Ikeda, I think it's

455
00:31:56.119 --> 00:31:59.640
<v Speaker 2>a fascinating conversation. I hope you do as well. I hope.

456
00:32:00.079 --> 00:32:03.920
<v Speaker 2>The thing that's great about Tatsu is the is understandable

457
00:32:04.119 --> 00:32:09.000
<v Speaker 2>and takes complex subjects and breaks them down so I

458
00:32:09.039 --> 00:32:11.440
<v Speaker 2>can understand them and you can understand them. Back on

459
00:32:11.519 --> 00:32:14.680
<v Speaker 2>Nightside right after this break, You're.

460
00:32:14.519 --> 00:32:19.160
<v Speaker 1>On night Side with Dan Ray on WBZ Boston's news radio.

461
00:32:20.559 --> 00:32:21.920
<v Speaker 2>Back to the phones, who go, Let me go to

462
00:32:22.000 --> 00:32:25.119
<v Speaker 2>Robin Medford. Rob, you are next on Nightside with Tatsu Ekta.

463
00:32:25.119 --> 00:32:31.279
<v Speaker 6>Gort ahead, Rob, Good evening, gentlemen. I understand that China

464
00:32:31.640 --> 00:32:39.079
<v Speaker 6>exports about three point five trillion dollars, and if they

465
00:32:39.079 --> 00:32:44.319
<v Speaker 6>are not exporting that three point five trillion dollars, their

466
00:32:44.640 --> 00:32:48.359
<v Speaker 6>backup of widgets and all their widget makers will also

467
00:32:48.440 --> 00:32:52.119
<v Speaker 6>be out of work. So will not they be affected?

468
00:32:52.160 --> 00:32:56.079
<v Speaker 6>Twofold that not only will all their people be out

469
00:32:56.119 --> 00:33:00.480
<v Speaker 6>of work because no one is buying their goods, mainly US,

470
00:33:01.279 --> 00:33:05.319
<v Speaker 6>but they will also not be selling anything. So will

471
00:33:05.359 --> 00:33:09.759
<v Speaker 6>that not cause the economy more or less to implode

472
00:33:09.920 --> 00:33:13.799
<v Speaker 6>sooner than later? With the two poles of fact, Yeah.

473
00:33:13.880 --> 00:33:16.200
<v Speaker 2>Let's see what let's you with? Tatsu says a great question. Wrong,

474
00:33:16.240 --> 00:33:16.920
<v Speaker 2>Go ahead, Tatsu.

475
00:33:18.440 --> 00:33:22.759
<v Speaker 4>Yeah, So that's an interesting scenario, and there there are

476
00:33:22.799 --> 00:33:28.200
<v Speaker 4>many different, you know, micro scenarios like this that make

477
00:33:28.319 --> 00:33:32.759
<v Speaker 4>up the global economy, in our economy as a whole.

478
00:33:33.039 --> 00:33:40.359
<v Speaker 4>So there's this concept of stagflation, right, inflation with flowed growth,

479
00:33:40.839 --> 00:33:45.279
<v Speaker 4>and that's kind of what you're living to uh at.

480
00:33:45.680 --> 00:33:49.079
<v Speaker 4>At the same time, there are other activities in the economy,

481
00:33:49.400 --> 00:33:53.759
<v Speaker 4>such as if you read the article the example of

482
00:33:53.880 --> 00:33:57.720
<v Speaker 4>the home builder in Pennsylvania. I'm not sure exactly, I

483
00:33:57.759 --> 00:34:01.799
<v Speaker 4>can't remember where he was, but he was like, well,

484
00:34:02.400 --> 00:34:06.799
<v Speaker 4>if the terraffs, you know, slow down things, but it

485
00:34:06.920 --> 00:34:12.239
<v Speaker 4>brings back manufacturing to the US over time, I'm willing

486
00:34:12.320 --> 00:34:16.039
<v Speaker 4>to take that trade off because as a home builder,

487
00:34:16.920 --> 00:34:20.480
<v Speaker 4>as a construction you know, general contractor or whatever, if

488
00:34:20.960 --> 00:34:24.880
<v Speaker 4>if industry comes back to my city, then my business

489
00:34:24.960 --> 00:34:28.719
<v Speaker 4>is going to grow. So that's the other side of it.

490
00:34:29.079 --> 00:34:33.719
<v Speaker 4>And you know, just you know, let's make the metaphor

491
00:34:34.000 --> 00:34:40.320
<v Speaker 4>of technology right, good, go ahead.

492
00:34:41.000 --> 00:34:44.519
<v Speaker 6>Well, I recall reading an article that was called A

493
00:34:44.599 --> 00:34:48.280
<v Speaker 6>Road to Nowhere, and it just talked about how China

494
00:34:48.599 --> 00:34:52.280
<v Speaker 6>puts their people to work building roads and structures just

495
00:34:52.320 --> 00:34:55.800
<v Speaker 6>to keep their economy going. They put people to work

496
00:34:55.840 --> 00:34:59.519
<v Speaker 6>and keep them out there and without their people working

497
00:34:59.639 --> 00:35:04.719
<v Speaker 6>and generating money, they're going to have uh uh, a

498
00:35:04.840 --> 00:35:08.000
<v Speaker 6>surplus of things and and and a lodge amount and

499
00:35:08.719 --> 00:35:12.719
<v Speaker 6>is their economy? Is this block market not going more?

500
00:35:12.760 --> 00:35:13.639
<v Speaker 4>Hay wires.

501
00:35:13.920 --> 00:35:16.519
<v Speaker 6>You don't hear about that in the media too. The

502
00:35:16.599 --> 00:35:20.239
<v Speaker 6>effect that this is having on the Chinese start market

503
00:35:20.440 --> 00:35:21.239
<v Speaker 6>is incredible.

504
00:35:21.519 --> 00:35:25.239
<v Speaker 2>They are okay, let's see, let's see Tatsu news. I'm

505
00:35:25.360 --> 00:35:28.440
<v Speaker 2>unaware of that, Tatsu. Have you followed the Chinese market

506
00:35:28.480 --> 00:35:32.039
<v Speaker 2>in the last week, eight to eight days.

507
00:35:31.800 --> 00:35:36.960
<v Speaker 4>Well, globally it's every every market is down and you

508
00:35:37.000 --> 00:35:41.480
<v Speaker 4>know that's uh, you know, expected turn of events and

509
00:35:42.599 --> 00:35:47.199
<v Speaker 4>it's just you know, a correction. And whether I mean

510
00:35:47.239 --> 00:35:52.119
<v Speaker 4>we should define the word correction in markets? Right? Markets

511
00:35:52.119 --> 00:35:55.840
<v Speaker 4>are not as rational as we think. You know, it's

512
00:35:55.920 --> 00:36:02.440
<v Speaker 4>totally based on psychology and reason, fear, right, greed and fear.

513
00:36:02.760 --> 00:36:09.239
<v Speaker 4>So you know, when when you fear, you sell and

514
00:36:09.280 --> 00:36:11.679
<v Speaker 4>then markets go down. When you get greedy, you buy

515
00:36:11.719 --> 00:36:16.639
<v Speaker 4>and hope for the best. So that's basically a market.

516
00:36:17.719 --> 00:36:20.079
<v Speaker 2>Go ahead, rob, Rob, I'm going to let you go

517
00:36:20.119 --> 00:36:22.239
<v Speaker 2>because they want to get another call in before Tatsu

518
00:36:22.360 --> 00:36:25.079
<v Speaker 2>before we got a break. Okay, okay, thanks you great.

519
00:36:25.159 --> 00:36:28.119
<v Speaker 2>We make great points thank you. Let's go to Melissa

520
00:36:28.239 --> 00:36:31.519
<v Speaker 2>in Portland, Oregon. Melissa, you're on with Tatsu Cada.

521
00:36:31.559 --> 00:36:34.800
<v Speaker 4>Go right ahead, Melissa, Hi, Thank you, Hi, Tatsu.

522
00:36:34.920 --> 00:36:38.960
<v Speaker 7>I really enjoyed your comments. My question to you is

523
00:36:39.239 --> 00:36:44.159
<v Speaker 7>when jobs went offshore, in addition to cost in the US,

524
00:36:44.639 --> 00:36:47.920
<v Speaker 7>it was also that the unions were kind of a

525
00:36:47.920 --> 00:36:52.400
<v Speaker 7>part of the problem, you know, causing issues with rising cost.

526
00:36:53.039 --> 00:36:55.840
<v Speaker 7>If jobs come back to the US, where do you

527
00:36:55.920 --> 00:36:58.079
<v Speaker 7>see unions fitting into that picture?

528
00:37:00.320 --> 00:37:05.079
<v Speaker 4>A figure question. I haven't thought about it, but my

529
00:37:05.960 --> 00:37:08.840
<v Speaker 4>bach would be that, you know, unions have to be

530
00:37:10.199 --> 00:37:16.880
<v Speaker 4>a reasonable bargaining partner in all of this. So we

531
00:37:17.000 --> 00:37:20.599
<v Speaker 4>know that we know unions in the past have been

532
00:37:20.679 --> 00:37:26.239
<v Speaker 4>denigrated and their their bargaining power has been decreased over

533
00:37:26.320 --> 00:37:30.440
<v Speaker 4>time greatly, so but you know, there's probably still a

534
00:37:30.519 --> 00:37:34.039
<v Speaker 4>role for them. They would have to rebuild themselves and

535
00:37:34.079 --> 00:37:40.280
<v Speaker 4>they would have to refashion themselves as an honest bargaining

536
00:37:40.320 --> 00:37:45.679
<v Speaker 4>partner in the negotiations. And it's tough because they sit

537
00:37:45.800 --> 00:37:52.679
<v Speaker 4>between people in government like Trump and everyday workers. So

538
00:37:53.480 --> 00:37:58.400
<v Speaker 4>they can't price themselves out of the market, which would

539
00:37:58.480 --> 00:38:05.079
<v Speaker 4>delay innovation, which would delay building a new infrastructure for

540
00:38:05.360 --> 00:38:11.880
<v Speaker 4>business projects like factories, and yeah, yeah, I think I

541
00:38:11.920 --> 00:38:14.760
<v Speaker 4>think it's a good time for them, the unions, to

542
00:38:16.440 --> 00:38:20.519
<v Speaker 4>rethink how they want to negotiate on behalf of the

543
00:38:20.559 --> 00:38:21.239
<v Speaker 4>American worker.

544
00:38:22.280 --> 00:38:23.840
<v Speaker 8>Yeah, I feel like that's going to be a really

545
00:38:23.880 --> 00:38:26.880
<v Speaker 8>critical part. I remember with the Auto workers Union a

546
00:38:26.880 --> 00:38:29.840
<v Speaker 8>couple of years ago, you know, came up with a

547
00:38:29.880 --> 00:38:33.599
<v Speaker 8>lot of really high end requests, like on the healthcare side.

548
00:38:34.119 --> 00:38:37.400
<v Speaker 8>And you certainly don't want to lose benefits. But if

549
00:38:37.400 --> 00:38:40.079
<v Speaker 8>you're making requests that are going to cost people jobs,

550
00:38:40.360 --> 00:38:43.079
<v Speaker 8>you know, are you really helping? And so I guess

551
00:38:42.719 --> 00:38:46.119
<v Speaker 8>as I as I've been watching and listening the last week,

552
00:38:46.280 --> 00:38:49.519
<v Speaker 8>my concern has been, well, if we get the jobs back,

553
00:38:49.920 --> 00:38:52.760
<v Speaker 8>how do we keep them here? So I appreciate your answer.

554
00:38:54.239 --> 00:38:57.159
<v Speaker 2>Yeah, appreciate you call us always, Melissa, Thank you so much.

555
00:38:57.880 --> 00:38:58.679
<v Speaker 8>Thanks, BOBBYE.

556
00:39:00.679 --> 00:39:04.800
<v Speaker 2>That's it. We're sort of rushing up, getting up against

557
00:39:04.840 --> 00:39:08.880
<v Speaker 2>the end of the hour here. I'd like to once again,

558
00:39:09.119 --> 00:39:12.000
<v Speaker 2>the best way people can follow you they just go

559
00:39:12.079 --> 00:39:16.440
<v Speaker 2>to Tatsu on substack. Is that the easiest way?

560
00:39:17.519 --> 00:39:22.039
<v Speaker 4>Yep, t A t s U Tatsy's newsletter on substack.

561
00:39:22.880 --> 00:39:25.159
<v Speaker 2>That's great. I'm looking at the nick A Average, which

562
00:39:25.199 --> 00:39:27.079
<v Speaker 2>courses on the other side of the world. Right now,

563
00:39:27.119 --> 00:39:30.239
<v Speaker 2>they're off about five or six percent. They were up

564
00:39:30.360 --> 00:39:35.079
<v Speaker 2>nine percent yesterday, so they have sort of reflected this.

565
00:39:36.079 --> 00:39:38.320
<v Speaker 2>I have no idea where the market's going to go tomorrow.

566
00:39:38.320 --> 00:39:40.000
<v Speaker 2>I have no idea what's going to go next week.

567
00:39:40.039 --> 00:39:44.559
<v Speaker 2>But I guess you're telling us that at the end

568
00:39:45.440 --> 00:39:47.679
<v Speaker 2>of this you think we're going to be okay.

569
00:39:49.440 --> 00:39:53.000
<v Speaker 4>Yeah, it should be fine. Like I didn't include, you know,

570
00:39:54.360 --> 00:39:59.440
<v Speaker 4>prior talk market crashes before nineteen eighty. You know, you

571
00:39:59.480 --> 00:40:02.360
<v Speaker 4>can go back to nineteen thirty if you on, and

572
00:40:03.000 --> 00:40:07.360
<v Speaker 4>we've always recovered, Like the stock market is very, very reliable.

573
00:40:08.079 --> 00:40:10.840
<v Speaker 4>You know, look at look at the long term growth

574
00:40:10.880 --> 00:40:14.239
<v Speaker 4>over one hundred years, two hundred years. I mean, it's

575
00:40:14.280 --> 00:40:16.199
<v Speaker 4>never it's unbeatable.

576
00:40:17.360 --> 00:40:21.960
<v Speaker 2>That's thanks for some optimism. Thank you so much. We

577
00:40:22.039 --> 00:40:26.079
<v Speaker 2>will talk again. Tatsu t a t s U newsletter

578
00:40:26.199 --> 00:40:31.760
<v Speaker 2>at substack. It's an extraordinary, extraordinarily clearly written and also

579
00:40:31.920 --> 00:40:35.679
<v Speaker 2>you can listen to it a conversation about it, which

580
00:40:35.719 --> 00:40:39.800
<v Speaker 2>will tell you as well. I highly recommend for every

581
00:40:39.840 --> 00:40:42.119
<v Speaker 2>one of my listeners to at some point tomorrow or

582
00:40:42.199 --> 00:40:45.320
<v Speaker 2>the or over the weekend, spend some time uh and

583
00:40:45.400 --> 00:40:48.880
<v Speaker 2>follow and follow Tatsu because I think that he is

584
00:40:49.039 --> 00:40:53.960
<v Speaker 2>as as keen an observer as I have seen in

585
00:40:54.039 --> 00:40:56.519
<v Speaker 2>the last a few weeks on this and previously on

586
00:40:56.559 --> 00:40:59.480
<v Speaker 2>our other issues. That's who my friend is. Always. Thank you,

587
00:40:59.559 --> 00:41:01.320
<v Speaker 2>I will have you back if that's okay with you.

588
00:41:02.840 --> 00:41:04.480
<v Speaker 4>Yessly, it's alta. It's a pleasure again.

589
00:41:04.599 --> 00:41:07.800
<v Speaker 2>Thank you, Hey, thank you, tatsu Okay, we come back.

590
00:41:07.960 --> 00:41:10.719
<v Speaker 2>I would like to continue the conversation. Do you feel

591
00:41:10.760 --> 00:41:13.599
<v Speaker 2>a little better as a result of talking to Tatsuo

592
00:41:13.800 --> 00:41:17.000
<v Speaker 2>or talking listening to Tatsuo? I know I do. If

593
00:41:17.039 --> 00:41:18.880
<v Speaker 2>you're on the lines, stay there. If you're not, fill

594
00:41:18.920 --> 00:41:21.079
<v Speaker 2>the lines up six one, seven, two, five, four, ten

595
00:41:21.159 --> 00:41:24.599
<v Speaker 2>thirty six one seven, nine three one ten thirty forty

596
00:41:24.599 --> 00:41:27.320
<v Speaker 2>eight hours ago, we were kind of where we are

597
00:41:27.440 --> 00:41:30.079
<v Speaker 2>right now. We had a great day on Wednesday, not

598
00:41:30.159 --> 00:41:32.880
<v Speaker 2>a great day to day. Who knows what happens tomorrow.

599
00:41:32.920 --> 00:41:34.119
<v Speaker 2>Back on Night's side, after this
