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Speaker 1: Pushkin. Welcome back to Risky Business, a show about making

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Speaker 1: better decisions. I'm Maria Kanakova.

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Speaker 2: And I'm Nate Silver, and I forgot during my audio

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Speaker 2: equipment to Las Vegas, so that's why I look ridiculous

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Speaker 2: if you're watching this on YouTube holding my phone to

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Speaker 2: my lips. Today, we have a special kind of year

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Speaker 2: end show for you. We're going to be awarding the Riskies.

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Speaker 2: This is our term for awards like DJ of the Year,

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Speaker 2: NIT of the Year, TILT of the Year, basically a

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Speaker 2: bunch of awards to people who made extraordinarily good or

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Speaker 2: bad decisions. We're very excited about.

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Speaker 1: These, yep. And after the Riskies, we're going to be

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Speaker 1: talking a little bit about poker and our own Riskies

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Speaker 1: because Nate and I are both in Las Vegas right

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Speaker 1: now for the WPT series at the Wins, so we'll

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Speaker 1: talk a little bit about how that's going. And finally,

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Speaker 1: we're actually going to respond to a listener question about

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Speaker 1: bilingualism and does it make sense to learn a second language. Nate,

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Speaker 1: I'm really excited for our first of what I hope

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Speaker 1: will be annual Risky Awards, the Riskies to talk about

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Speaker 1: good and bad decisions of the year in all walks

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Speaker 1: of life. So obviously, you know, we talk a lot

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Speaker 1: about politics on the show, so we'll have some from politics,

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Speaker 1: but also from business and from sports and Hollywood, just

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Speaker 1: talking in general about risky decisions, which ones worked out,

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Speaker 1: which ones didn't, which ones were good, which ones were bad.

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Speaker 1: So let's get started and talk about awarding the first

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Speaker 1: risky for the Hero call of the Year. So a

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Speaker 1: decision that looked like it might have been a little

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Speaker 1: crazy at the time but turned out to be brilliant, right,

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Speaker 1: just like a hero callin poker when you're thinking, you're

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Speaker 1: thinking you have jack high and it's your tournament life

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Speaker 1: and you end up calling and you're right because the

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Speaker 1: other guy was bluffing with eight high or whatever it was. Nate,

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Speaker 1: do you have a hero call of the year?

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Speaker 2: I think THEO the French Whale has to get the

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Speaker 2: Hero Call of the Year awards. So what do you make?

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Speaker 2: He ya eighty five billion dollars? So he here the

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Speaker 2: French Whale was on Polymarket, which I'm an advisor to,

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Speaker 2: and bet copious amounts millions of dollars that Trump would

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Speaker 2: win and kind of even like distorted it as a

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Speaker 2: loaded term, but like the whole market was effective, but

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Speaker 2: it's one trader. Poly market has good volume, but not

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Speaker 2: but you know it's not it's not the equities market

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Speaker 2: or something like that. Apparently did some polling where he

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Speaker 2: asked people, who are your neighbors owning? For this technique

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Speaker 2: is not that proven, but look it worked. A hero call,

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Speaker 2: by definition, is like if you get the answer right

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Speaker 2: for lots of money, then you have to get some

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Speaker 2: amount of some amount of credit right. A lot of

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Speaker 2: people didn't have the story of conference election. Our forecast

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Speaker 2: really had it. Literally had it more right Thom than

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Speaker 2: a coin flip. And so I'm going to give the

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Speaker 2: French whale THEO this award.

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Speaker 1: I think that that's a beautiful Uh, that's a beautiful answer.

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Speaker 1: THEO absolutely deserves Hero Call of the Year because we

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Speaker 1: even talked on the podcast We're like this is insane, like, right,

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Speaker 1: who is this whale? Like what is going on? And yeah,

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Speaker 1: he ended up making a shit ton of money. So

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Speaker 1: congratulations THEO, You've made our Hero call of the year.

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Speaker 2: Congrats, Yes and come on the show.

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Speaker 1: Yes, we'd love to. We'd love to talk about how

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Speaker 1: you think about it. We Nate promises he will not

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Speaker 1: do his French accent for you. All right, So you know,

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Speaker 1: a flip side of the hero call is when you

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Speaker 1: make the wrong decision, right, what was the worst fold

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Speaker 1: of the year, So a decision that you know, ended

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Speaker 1: up making people think, you know, what were you thinking?

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Speaker 1: How could you fold? There? I have one for this,

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Speaker 1: but yeah, you go ahead. It seems like you're excited

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Speaker 1: about this one.

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Speaker 2: I'm sorry, is this so on brand? I have to

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Speaker 2: go with like this, she should have picked Shapiro thing.

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Speaker 2: I know, it's I know it's very politics heavy, but

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Speaker 2: like you have this very charismatic politician who's like literally

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Speaker 2: the popular governor of the most important spring state, which

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Speaker 2: by the way, turned out to be the tipping point state, Pennsylvania,

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Speaker 2: and she picked Tim Walls, who was kind of weird

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Speaker 2: in practice, and like it just seemed like a no brainer.

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Speaker 2: And I can try and dissect why the campaign did this,

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Speaker 2: but like that that's a decision that's kind of the

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Speaker 2: opposite of the hero call, right, It's like, yeah, the

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Speaker 2: obvious play. If you don't make the obvious play, right,

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Speaker 2: if you have this amazing semi bluffing opportunity, you have

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Speaker 2: a straight draw and a flush draw, and you have

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Speaker 2: full equity, and you choose to play the hand differently

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Speaker 2: in some weird way than it better worked out well

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Speaker 2: or if not, we have the right to criticize you.

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Speaker 1: So there's another award that comes a little bit later,

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Speaker 1: but I'm going to reference it now because I think

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Speaker 1: it's very Germane and it's an award that we're borrowing

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Speaker 1: from the podcast The Town, So thank you very much

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Speaker 1: The Town. And it's the second Haters I was write award,

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Speaker 1: and that Nate, I'm going to give to one of

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Speaker 1: the decisions that you've been talking about all year, which

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Speaker 1: is she should have chosen.

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Speaker 2: Shapiro, should have chosen the Shapiro.

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Speaker 1: So I actually I went outside of politics sort of

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Speaker 1: and I said the worst fold was anyone who ended

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Speaker 1: up selling bitcoin at the beginning of the year, during

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Speaker 1: the bear market in January. Yeah, I think that that

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Speaker 1: was the worst fold, Like the people who were, you know,

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Speaker 1: like all in on bitcoin and then we're like, you

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Speaker 1: know what, I changed my mind, Like this is bad,

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Speaker 1: Like it's down to forty k Like shit, I bet

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Speaker 1: those people are not very happy right now. So I

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Speaker 1: think that and I don't think that it was. I

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Speaker 1: think that it was pretty obvious that they should not

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Speaker 1: be folding, right because you know how sicklical this market is.

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Speaker 1: You know how the bear bull cycles work, Like, if

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Speaker 1: you know what you're doing, you do not sell at

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Speaker 1: a bottom right there. But yeah, so that was that's

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Speaker 1: who I gave the the Worst fold of the Year

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Speaker 1: award two, so I think we can we can both

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Speaker 1: give out one.

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Speaker 2: Next up we have Cooler of the Year who had

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Speaker 2: a great hand but still lost.

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Speaker 1: So here I went outside of our usual purview, right,

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Speaker 1: we were normally kind of very politics business, some sports

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Speaker 1: heavy here decided to go to Hollywood, and I am

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Speaker 1: giving this award to Greta Gerwig, who was the writer

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Speaker 1: and director of Barbie, who just got completely shut out

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Speaker 1: at the Oscars, losing everything, losing even some nominations. She

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Speaker 1: wasn't even nominated for directing and she lost for writing.

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Speaker 1: And I think that she was just like completely she

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Speaker 1: had a great hand. I think Barbie was a great

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Speaker 1: movie that did incredibly well, and for some reason she

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Speaker 1: was just like completely shut out of the Oscars this year.

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Speaker 1: That happens every year, you know, there's always someone, but

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Speaker 1: this one, I feel like, yeah, I felt a little

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Speaker 1: bit personal about it because I think, you know, she's female,

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Speaker 1: she's talented, she's great, And I actually did not like

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Speaker 1: Oppenheimer at all. I thought it was a horrible movie.

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Speaker 1: I thought it was really boring. I did not think

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Speaker 1: that it should have gotten all the awards it got,

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Speaker 1: so like I actually disagreed completely. This is from a

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Speaker 1: personal thing, but these are our awards, so they get

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Speaker 1: to be personal. That was my worst. That was my

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Speaker 1: cooler of the year. How about your name?

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Speaker 2: Maybe the New York Yankees son off your baseball fan,

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Speaker 2: Juan Soto, this amazing young outfielder who is kind of

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Speaker 2: like the Ted Williams of his era, signed with the

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Speaker 2: crosstown rival New York Mets for almost eight hundred million

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Speaker 2: dollars the Yankees offered him. So when I'm sixty million

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Speaker 2: after making their first World Series run since two thousand

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Speaker 2: and nine, I guess because apparently the Yankees were just cheap,

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Speaker 2: like George Costanza for the Yankees and Seinfeld where like

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Speaker 2: they wouldn't give one so to a suite. They apparently

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Speaker 2: like harassed his family and his driver, and so he

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Speaker 2: was like, fuck you, I'm actually going to Steve Cohen

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Speaker 2: and the New York Mets. Pretty rare to see a

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Speaker 2: crosstown free agency move like that.

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Speaker 1: All right, up next, Tilt of the Year. So what

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Speaker 1: was the most emotional decision of the year do you think?

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Speaker 2: I mean, I'm going back to politics here, politics. Yep,

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Speaker 2: Joe Biden deciding deciding Aid to run for reelection and

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Speaker 2: that he was indefatible. And then the then the pardon

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Speaker 2: of Fial Sun Hunter. Yeah, I've got.

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Speaker 1: The pardon as mine. So let's uh, let's unanimously give

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Speaker 1: the tilt of the year to Biden for making some

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Speaker 1: very emotional decisions. The deciding to run and the pardon

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Speaker 1: of Hunter. I think that that is absolutely you know,

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Speaker 1: that was tilt. The definition of tilt is letting emotions

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Speaker 1: into your decision process, right that you are no longer

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Speaker 1: evaluated things based on their expected value, based on their

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Speaker 1: actual kind of decision matrix. You are letting emotions that

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Speaker 1: are incidental and not integral to the decision into the decision.

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Speaker 1: And that's exactly what Joe Biden did.

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Speaker 2: Gto call of a year game theory optimalist call for

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Speaker 2: the most balanced, mathematically sound decision of the year.

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Speaker 1: Okay, so this one I went outside of politics. I

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Speaker 1: went into the business side because this is so incredibly rare.

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Speaker 1: I wanted to kind of compliment Apple on abandoning their

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Speaker 1: fora into electric vehicles, because most companies, after spending billions

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Speaker 1: on something, don't have the foresight, the knowledge, kind of

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Speaker 1: the perspicacity to say, you know what, we're not going

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Speaker 1: to be competitive here, it's not working. We're just going

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Speaker 1: to write it off and move on. And the market's

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Speaker 1: rewarded Apple. Actually, even though some people were like this

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Speaker 1: is insane, like, right, how can you step away from

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Speaker 1: a multi billion dollar investment? So I think that that

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Speaker 1: was Actually that is what gto is right, is actually

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Speaker 1: being able to make those types of really really tough

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Speaker 1: decisions because you realize, you know what, it doesn't matter.

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Speaker 1: We already spent that money and we can't get it back.

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Speaker 1: And if we realize we're not competitive, like I'm going

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Speaker 1: to fold my hand right and I'm gonna and I'm

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Speaker 1: going to walk away, and that's going to be okay.

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Speaker 1: And most companies are not capable of doing that. Most

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Speaker 1: CEOs are not capable of doing that. So I want

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Speaker 1: to reward Apple for a really good decision.

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Speaker 2: Yeah, maybe I give it a little shout out here

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Speaker 2: to Dan Campbell, the head coach of the Detroit Lions.

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Speaker 2: The Lions nearly made their first Super Bowl ever. Blew it.

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Speaker 2: That probably saved me. I don't want to even say

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Speaker 2: how much it is going to save me on it

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Speaker 2: last like a super Bowl trip. But Campbell's very aggressive

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Speaker 2: about going for it on fourth down. I'm making other

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Speaker 2: aggressive play calls which the GTO says is correct and

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Speaker 2: didn't work out. But they trust the system. And now

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Speaker 2: the Lions are the best team in the NFL so

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Speaker 2: far this year. So maybe I'll be spending my hard

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Speaker 2: earned dollars on a trip to New Orleans instead in

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Speaker 2: the Super Bowl.

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Speaker 1: Great, I'm on board with that, all right. How about

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Speaker 1: the Danny Kahneman Memorial Cognitive Bias of the Year Award.

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Speaker 1: What cognitive bias best explains twenty twenty four? So I'm

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Speaker 1: going to say that the bias that best encapsulates twenty

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Speaker 1: twenty four. And we're going back to politics. Here is

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Speaker 1: the sun cost fallacy, which is the inability to walk

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Speaker 1: away from sunk costs. And I think that the Biden campaign,

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Speaker 1: which is something that is going to you know, will

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Speaker 1: be feeling the repercussions of that for years to come

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Speaker 1: suffered from the sun cost fallacy. Right, the fact that oh,

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Speaker 1: you know, I am already I said, I'm running like

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Speaker 1: I'm not going to turn back on it. I'm going

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Speaker 1: to keep putting good time and good money after bad.

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Speaker 1: After it was becoming more and more clear that he

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Speaker 1: shouldn't run again, that he should step away, and the

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Speaker 1: sun cost fallacy I think literally cost them the election

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Speaker 1: because they you know, he did not step away. We've

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Speaker 1: talked about this so many times, but you know, the

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Speaker 1: fact that they didn't pivot, the fact that they kind

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Speaker 1: of didn't take the risk and take on the new

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Speaker 1: strategy and realize, you know what, we're only hurting ourselves

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Speaker 1: by continuing to put good time, good money, good energy

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Speaker 1: after bad. I think that that was the death the

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Speaker 1: death knell of this of this campaign. So to me,

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Speaker 1: the sun cost fallacy is the decision error that best

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Speaker 1: encapsulates this year.

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Speaker 2: Yeah, maybe I'll go with good old fashioned group think.

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Speaker 2: I suppose it's like also contained to the Democratic Party

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Speaker 2: where and inability and look, I think it's fundamentally and

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Speaker 2: kind of writing an article about this now, I think

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Speaker 2: it's kind of amazing, But Democrats adopt this velosophy they

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Speaker 2: kind of claim to be working on behalf of like

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Speaker 2: all these oppressed minorities, and then all the oppressed minorities

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Speaker 2: shift a long way toward Trump. And I think what

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Speaker 2: that is is that you actually look views among other elites,

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Speaker 2: and Democrats have kind of lost touch with with how

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Speaker 2: people outside their group think and what messages are appealing

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Speaker 2: and which aren't. And so I we you know, I

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Speaker 2: don't want to deter this too much, but I'll kind

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Speaker 2: of broadly give it to the Democratic Party. And how

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Speaker 2: capture among all the you know, cognitive elites actually can

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Speaker 2: be a problem in some ways makes sense. Here's a

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Speaker 2: fun one Djen of the Year. This is one of

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Speaker 2: the most prestigious awards.

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Speaker 1: It is, well, I'm giving it to Epay Musuhara millions.

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Speaker 1: I don't think it doesn't get more DJN.

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Speaker 2: Can we call it the Epay Musahara Memorial Djen Award

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Speaker 2: of the Year in the future.

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Speaker 1: I think in future years, I think that's what we

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Speaker 1: need to call it. And for people obviously who who

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Speaker 1: can't immediately put that name to a face. That was

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Speaker 1: Otani's interpreter who pleaded guilty to making at least seventeen

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Speaker 1: million dollars worth of sports bets gone wrong and using

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Speaker 1: Otani's accounts to cover those.

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Speaker 2: And the Knit of the Year. Do you have a

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Speaker 2: good one for this? Harris okaymal Hair, Yeah, these are two.

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Speaker 2: The Kamala Harris memorial.

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Speaker 1: Yes, I got that.

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Speaker 2: She refused to distance herself from Biden, even though they

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Speaker 2: didn't campaign on Biden's agenda either. They just said, oh, well,

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Speaker 2: let's help people ignore this and and yeah, the risk

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Speaker 2: a version of this campaign. And by the way, how

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Speaker 2: much is this her versus her campaign managers? I'm not sure,

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Speaker 2: but like that's the.

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Speaker 1: Campaign right at the end of the day, it's her campaign,

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Speaker 1: and if she disagrees with her campaign manager, she needs

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Speaker 1: to be like, no, fuck this, I'm not going to

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Speaker 1: be in it. So at the end of the day,

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Speaker 1: it's on her, just.

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Speaker 2: Like the campaign agrees with her. They're like, yo, yo,

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Speaker 2: you got you're shitting gear Kamala exactly exactly.

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Speaker 1: So it seems like you agree with my Djena Knit

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Speaker 1: of the Year picks.

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Speaker 2: Absolutely, these are pretty easy ones.

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Speaker 1: I think.

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Speaker 2: The Risky Business bracelet. Who had the better which of

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Speaker 2: the two hosts? This is an easy one. They're only

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Speaker 2: two answers had the better poker, had the better poker year.

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Speaker 1: I don't know, n it. Are you up or down?

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Speaker 2: I have I'm definitely down in tournaments, and then I

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Speaker 2: have a quite good year in cash, and so I

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Speaker 2: don't actually know.

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Speaker 1: All right, Well, the bracelet, I think we should do tournaments, right,

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Speaker 1: since bracelets.

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Speaker 2: Are Yeah, it's very it's very fiable, right, Yeah, it's verifiable.

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Speaker 1: Yeah, So I'm up in tournaments, So I guess I

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Speaker 1: get the bracelet for this year.

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Speaker 2: Yeah, I'm down a fair bit and I'll need to

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Speaker 2: have a good series here at the Wind, but the

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Speaker 2: cash is gone. I'm trying to think of myself as

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Speaker 2: more of a cash players some ways.

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Speaker 1: Yeah, that's wonderful, and I look forward to seeing you

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Speaker 1: on some big cash streams. And we can change this

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Speaker 1: from the bracelet awards to something else so that we

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Speaker 1: can just say poker prowess, whether cash or tournaments. I

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Speaker 1: don't know. So now we've got two awards that are

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Speaker 1: being taken from another podcast, The Town, which gives awards

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Speaker 1: the Mia Cool Pie I Was Wrong Award and the

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Speaker 1: second Haters I Was Right Award. So these are for

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Speaker 1: I think personal decisions, you know, personal things that we've done.

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Speaker 1: This is where I said that you should be the

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Speaker 1: second haters. I was right. I didn't have one for me,

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Speaker 1: but I had it for you, which was that she

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Speaker 1: should have gone for Shapiro. I think that that's I

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Speaker 1: think that you get that award, and uh, the Mia

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Speaker 1: Coolpie was Wrong award. I actually so, I think that

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Speaker 1: I was wrong when we had talked on the podcast

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Speaker 1: about kind of how important crypto was to the election,

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Speaker 1: and I'm like, it's a tiny percentage, it doesn't really matter.

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Speaker 1: I actually think that it ended up mattering a lot

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Speaker 1: more than I thought it would. And you know, and

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Speaker 1: especially kind of given the amount of money that was

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Speaker 1: donated given kind of some people who I think came

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Speaker 1: out and became single issue voters for Trump because of

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Speaker 1: his take on crypto. I actually think I was a

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Speaker 1: little bit wrong on that. I think I underestimate at

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Speaker 1: the cryptov.

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Speaker 2: I'll give myself an award for nearly betting on with

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Speaker 2: Keith for boy who was a venture capitalist on the

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Speaker 2: ulcome in Florida, where Keith claimed he lives in Miami

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Speaker 2: now very proudly so that Kamala Harris would lose Florida

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Speaker 2: by eight points or more, and at the time she

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Speaker 2: was down only three points in the polling average, got

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Speaker 2: in a spat on Twitter and offered to bet one

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Speaker 2: hundred k, and actually kind of tried to facilitate this

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Speaker 2: and sent an email to a mutual friend saying, Hey, Keith,

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Speaker 2: if you want negotiate terms, here's person why who can

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Speaker 2: confirm this? And he didn't respond for four days, right,

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Speaker 2: and then the some morning a New York Times pull

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Speaker 2: comes out and has Harris down like thirteen or fifteen

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Speaker 2: points in Florida, and I'm like, fuck this. You know

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Speaker 2: you don't have a free option to make this bet whenever,

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Speaker 2: So the offer is rescinded, which he agreed it was

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Speaker 2: too late to accept the bet, certainly not recognizing the

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Speaker 2: complete collapse the Democratic Party in Florida and being lucky

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Speaker 2: to be able to pull out of that bet.

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Speaker 1: Yeah, I think I think that's a good one. And

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Speaker 1: the second haters I was right? Do you like my

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Speaker 1: choice for that?

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Speaker 2: I have a lot, I mean, all the Biden related stuff,

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Speaker 2: like actually feel.

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Speaker 1: Like I was right about everything.

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Speaker 2: It hurts, I know, the Biden debate stuff where I'm like,

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Speaker 2: actually the debate might go so bad, yeah, that he'll

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Speaker 2: have to pull out, Like people, that was kind of crazy, right,

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Speaker 2: I would not have given like more than like a

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Speaker 2: fifteen percent probability of that, but I kind of put

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Speaker 2: myself out there with at least raising his chance and

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Speaker 2: so all the Biden stuff, Yeah, I felt like, was my.

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Speaker 1: You definitely put yourself out there, and I think and

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Speaker 1: I think you ended up being right about a lot

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Speaker 1: of it. So yes, I'm there for it all. Right. Now,

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Speaker 1: We're going to have two individual awards for us to

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Speaker 1: give out, So mine is the Maria Kanakova Award for

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Speaker 1: the Biggest bluff of the Year, and I am gonna

360
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Speaker 1: I'm going to get a lot of people mad for

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Speaker 1: this one, but I'm giving it to Sam Altman and

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Speaker 1: open Ai for bluffing about the mission and the non

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Speaker 1: profit nature of open Ai and getting you know, saying

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00:19:15,124 --> 00:19:17,844
Speaker 1: how it was all about, you know, just just being

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Speaker 1: for the good of the world and then raising money

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Speaker 1: and saying, actually we're going to be for profit and

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Speaker 1: all of this stuff that like, obviously it was going

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Speaker 1: to be a business and obviously like this is where

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Speaker 1: it was heading. But I think a lot of people

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Speaker 1: believed his initial bluff, and this is something that's going

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Speaker 1: to be really important and open. Ai is you know

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Speaker 1: how Sam goes about it. I think this is an

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Speaker 1: important thing to track closely. So I think it's good

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Speaker 1: to realize that this is someone who is incredibly good

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Speaker 1: at bluffing, incredibly credible at bluffing, and bluffs a lot.

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Speaker 2: I agree, I think. No, I think I think that's

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Speaker 2: a great pick. Maria, thank you. I mean he is.

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Speaker 2: I don't know if. I don't know if he's convincing

379
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Speaker 2: everyone necessarily, but but but he knows how to see

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Speaker 2: their bluff through. I'll say that much.

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Speaker 1: Yes, he does.

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Speaker 2: The Nate Silver Award for Raverian of the Year. The Raverian,

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Speaker 2: of course a term from my book for this group

384
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Speaker 2: of I don't know the general kambling types. I think

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Speaker 2: you have to give it to our boy, Elon. I

386
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Speaker 2: just think you have to. He made this very big

387
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Speaker 2: bet where he was kind of in more of a

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Speaker 2: blue linen cultural space and has obviously gotten like red

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Speaker 2: pilled in various ways. But look, he bet two hundred

390
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Speaker 2: and fifty thousand, or people are still counting Abe's three hundred.

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Speaker 2: Excuse me, he bet like several hundred million dollars of

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Speaker 2: his own money. On Trump went very all in on

393
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Speaker 2: this movement and now has been rewarded with heading a

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Speaker 2: government or a quasi governmental agency named DOGE and getting

395
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Speaker 2: this guy he wanted elected. You know, it's a little

396
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Speaker 2: bit like this thing we said before, where if you

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Speaker 2: kind of make that hero call and not like the

398
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Speaker 2: odds were that bad. I mean, Biden was evidently in

399
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Speaker 2: trouble very early on. But I think you have to

400
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Speaker 2: like and again, I Elon is not my favorite representative

401
00:21:03,364 --> 00:21:05,684
Speaker 2: of the river right, even if you were such a conservatives.

402
00:21:06,284 --> 00:21:09,804
Speaker 2: You know, someone like Jay Bonicharia, who was an early

403
00:21:10,124 --> 00:21:12,724
Speaker 2: Stanford professor who was skeptical from the COVID lockdown stuff,

404
00:21:13,084 --> 00:21:14,964
Speaker 2: now named director of the n I h like he

405
00:21:15,084 --> 00:21:18,004
Speaker 2: is someone who I would personally like rather get a

406
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Speaker 2: beer with or something. But Elon's the obvious choice. I'm

407
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Speaker 2: not going to deny him his good year.

408
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Speaker 1: Well, this was this was a lot of fun. I like,

409
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Speaker 1: I like the riskies, and I like our renaming of

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Speaker 1: some of the awards.

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Speaker 2: To the award.

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Speaker 1: UH pay for Djon UH Forever More.

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Speaker 2: We'll be back in just a minute to talk a

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Speaker 2: little bit about how the poker is going so far

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Speaker 2: and answer a listener question, M.

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Speaker 1: M Nate, you are beautifully backlit by the Lovely Win Hotel.

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Speaker 1: So we are both in Las Vegas for the WPT.

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Speaker 1: I've been playing a few more events than you. You

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Speaker 1: came in and went straight into the three K, three

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Speaker 1: thousand dollars one day event yesterday. How did that go good?

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Speaker 2: I finished thirteenth place for ten thousand bucks or nine

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Speaker 2: nine hundred something. I think technically, I know for tax

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Speaker 2: reasons are what they do it that way? Yeah, always

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Speaker 2: great to start out with with the decent sized cash.

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Speaker 2: In your first event, it was a very turbo event.

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Speaker 2: If our listeners don't know what that means, it means

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00:22:37,084 --> 00:22:40,004
Speaker 2: that the blinds increased very fast. They start the event

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Speaker 2: at one they're trying to get it wrapped up by

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Speaker 2: two am, and with like two hundred players or whatever,

430
00:22:45,164 --> 00:22:46,844
Speaker 2: two hundred and fifty, I forget what it was. Then

431
00:22:46,884 --> 00:22:49,884
Speaker 2: that means you all of a sudden are playing for

432
00:22:50,124 --> 00:22:52,444
Speaker 2: very high stakes relatively amount of ships that you have,

433
00:22:52,764 --> 00:22:57,324
Speaker 2: and so requires hitting some big hands early and then

434
00:22:57,884 --> 00:23:01,044
Speaker 2: being aggressive and winning some coin flips. Being aware of

435
00:23:01,084 --> 00:23:05,084
Speaker 2: how the dynamics change in terms of we've talked about

436
00:23:05,244 --> 00:23:11,004
Speaker 2: ICM on this show before with the independence goals, independent model,

437
00:23:11,604 --> 00:23:15,284
Speaker 2: the goals to win money if you have it, not

438
00:23:15,284 --> 00:23:18,444
Speaker 2: not just maximize your first place chances, right, And so

439
00:23:19,364 --> 00:23:21,124
Speaker 2: I had to be I had a medium sized stack,

440
00:23:21,204 --> 00:23:22,964
Speaker 2: and I had to be a little bit cautious for

441
00:23:23,004 --> 00:23:25,484
Speaker 2: parts of the tournament, which is kind of which is

442
00:23:25,524 --> 00:23:28,564
Speaker 2: kind of no fun. But that's that's you know, I'm

443
00:23:28,604 --> 00:23:30,924
Speaker 2: plan booker to win money, not to not to make

444
00:23:30,964 --> 00:23:34,204
Speaker 2: friends and influence people. Well maybe that too. So we

445
00:23:34,204 --> 00:23:36,604
Speaker 2: were a little bit idiot times. I'm wound up getting

446
00:23:36,684 --> 00:23:38,444
Speaker 2: quite a few pay jumps to thirteenth place.

447
00:23:39,044 --> 00:23:41,604
Speaker 1: Yeah, well that's important, especially because you were not in

448
00:23:41,684 --> 00:23:43,924
Speaker 1: for one bullet. You were in for multiple bullets, right,

449
00:23:43,964 --> 00:23:44,964
Speaker 1: So you needed Maria.

450
00:23:45,004 --> 00:23:46,924
Speaker 2: You have to you know, there's no record of that

451
00:23:47,044 --> 00:23:51,724
Speaker 2: on Handed Mob. Yeah all right, two bullets. I came in.

452
00:23:51,804 --> 00:23:55,324
Speaker 2: I came in aggressively, as one tends to do on

453
00:23:55,324 --> 00:23:57,124
Speaker 2: their first day in Las Vegas. Made it a big.

454
00:23:58,684 --> 00:24:00,804
Speaker 1: People to know that you were not in it. Your

455
00:24:00,804 --> 00:24:04,164
Speaker 1: first bullet was bluffed off, So so you were you

456
00:24:04,444 --> 00:24:06,604
Speaker 1: You put in a good show of not being in

457
00:24:06,684 --> 00:24:08,244
Speaker 1: it first, and then you did it.

458
00:24:08,284 --> 00:24:10,084
Speaker 2: I do think for like these one day. I mean,

459
00:24:10,324 --> 00:24:13,684
Speaker 2: I think it is worthwhile to like look a little

460
00:24:13,684 --> 00:24:16,484
Speaker 2: bit at like your life philosophy, right, and like what

461
00:24:16,524 --> 00:24:19,684
Speaker 2: your alternatives are, Like I don't want to like if

462
00:24:19,724 --> 00:24:21,964
Speaker 2: I bust out of the tournament before the dinner break,

463
00:24:22,004 --> 00:24:24,044
Speaker 2: then my partner's in town. You're in town, can go

464
00:24:24,044 --> 00:24:26,124
Speaker 2: get like a nice dinner somewhere and have relaxed night

465
00:24:26,124 --> 00:24:28,524
Speaker 2: in Vegas, and so like, I think there is something

466
00:24:28,564 --> 00:24:31,724
Speaker 2: where like increasing your variants a little bit in the

467
00:24:31,764 --> 00:24:34,244
Speaker 2: early stage is where you get a big stack or

468
00:24:34,284 --> 00:24:37,044
Speaker 2: not is a good life strategy. And also in this

469
00:24:37,084 --> 00:24:39,324
Speaker 2: tournament you kind of need a big stack or else

470
00:24:39,364 --> 00:24:41,844
Speaker 2: you're just or else you're just. I mean, the blinds

471
00:24:41,844 --> 00:24:44,284
Speaker 2: increase so fast that you're kind of have to play

472
00:24:44,364 --> 00:24:46,244
Speaker 2: very defensively or get very lucky. And so I think

473
00:24:46,244 --> 00:24:48,684
Speaker 2: it's actually worth in like these one day events. It's

474
00:24:48,724 --> 00:24:51,084
Speaker 2: not a slow structure. It's worth kind of saying I'm

475
00:24:51,084 --> 00:24:53,124
Speaker 2: gonna ether have a big stack, or go get some

476
00:24:53,804 --> 00:24:55,004
Speaker 2: go to a show or something funny.

477
00:24:55,124 --> 00:24:57,604
Speaker 1: Yeah, go big or go home. I totally get it.

478
00:24:57,764 --> 00:25:00,844
Speaker 1: But in all transparency, so the series has not started

479
00:25:00,884 --> 00:25:04,284
Speaker 1: off well for me. I have played so far three events.

480
00:25:04,324 --> 00:25:08,204
Speaker 1: So I played the opening eight hundred dollars event, which

481
00:25:08,284 --> 00:25:11,484
Speaker 1: was actually a fourth thousand dollar event for me, so

482
00:25:11,604 --> 00:25:14,084
Speaker 1: people can do the math in terms of re entries,

483
00:25:14,364 --> 00:25:17,124
Speaker 1: I did not cash. Then I played the Mystery Bounty,

484
00:25:17,164 --> 00:25:20,164
Speaker 1: which is a sixteen hundred dollar event, again full transparency,

485
00:25:20,324 --> 00:25:22,124
Speaker 1: it was only it was only a thirty two hundred

486
00:25:22,164 --> 00:25:24,164
Speaker 1: dollar event for me. So that one I managed to

487
00:25:24,444 --> 00:25:27,804
Speaker 1: sneak by with only two bullets and I bubbled bubbling

488
00:25:27,804 --> 00:25:30,804
Speaker 1: once again for people who don't know, is I busted

489
00:25:30,924 --> 00:25:34,404
Speaker 1: very very late in the night, basically when we were

490
00:25:34,444 --> 00:25:37,164
Speaker 1: about to reach day two and the money. So that

491
00:25:37,284 --> 00:25:40,404
Speaker 1: was not fun, and that was you know, that was

492
00:25:40,484 --> 00:25:43,444
Speaker 1: just a cooler hand. And I started the Prime, which

493
00:25:43,484 --> 00:25:47,924
Speaker 1: is the eleven hundred dollar event yesterday, and I ended

494
00:25:47,964 --> 00:25:50,804
Speaker 1: up busting. You can only rebuy once a day, so

495
00:25:50,844 --> 00:25:53,124
Speaker 1: i busted both of my bullets yesterday and I'm going

496
00:25:53,164 --> 00:25:56,284
Speaker 1: to play again today. As soon as we finish recording

497
00:25:56,364 --> 00:25:58,804
Speaker 1: our podcast, I'll make my way to the wind to

498
00:25:58,844 --> 00:26:01,844
Speaker 1: see unit where we can both try to find a

499
00:26:01,844 --> 00:26:02,244
Speaker 1: bit bag.

500
00:26:02,324 --> 00:26:03,524
Speaker 2: I'm going to get a lot. I'm going to come

501
00:26:03,524 --> 00:26:06,964
Speaker 2: in after lunch. And I met at Looser.

502
00:26:07,044 --> 00:26:09,364
Speaker 1: Yeah, yeah, I get it. Get a little lunch, but there's.

503
00:26:09,244 --> 00:26:12,684
Speaker 2: Lots of stuff. There's like a the main K tent.

504
00:26:12,844 --> 00:26:14,644
Speaker 2: The main ten K event starts next week.

505
00:26:14,684 --> 00:26:16,924
Speaker 1: I guess this weekend, this coming weekend.

506
00:26:16,964 --> 00:26:20,684
Speaker 2: This weekend, there is a free roll for.

507
00:26:21,564 --> 00:26:23,644
Speaker 1: I did not get a seat into the free roll, Nate,

508
00:26:24,324 --> 00:26:24,604
Speaker 1: did you?

509
00:26:26,004 --> 00:26:26,804
Speaker 2: Perhaps?

510
00:26:27,764 --> 00:26:33,964
Speaker 1: Nay? Yes, I did not win a seat into the

511
00:26:33,964 --> 00:26:37,124
Speaker 1: free roll, and I'm not running well this series. So

512
00:26:37,164 --> 00:26:40,404
Speaker 1: they have if you enter, they have this promotion where

513
00:26:40,484 --> 00:26:45,004
Speaker 1: you join you know, Club WPT Gold or whatever kind

514
00:26:45,004 --> 00:26:48,164
Speaker 1: of the same thing that the free roll is advertising,

515
00:26:48,364 --> 00:26:51,244
Speaker 1: and then you get to draw from all of these

516
00:26:51,244 --> 00:26:54,884
Speaker 1: possible prizes, including a McLaren you know, two hundred and

517
00:26:54,884 --> 00:26:58,764
Speaker 1: fifty thousand dollars car, and all of these other amazing prizes,

518
00:26:58,804 --> 00:27:02,084
Speaker 1: including entry to the free roll. I drew a fucking hat, Nate,

519
00:27:03,164 --> 00:27:07,084
Speaker 1: A hat, yeah, And I had to be like, I'm sorry,

520
00:27:07,164 --> 00:27:08,044
Speaker 1: you can keep the hat.

521
00:27:08,204 --> 00:27:12,364
Speaker 2: I can't take I bought. The hats are kind of

522
00:27:12,404 --> 00:27:14,404
Speaker 2: expensive there. It costs like forty bucks or something.

523
00:27:14,924 --> 00:27:16,684
Speaker 1: Oh, Nate, I should have given you the hat. I

524
00:27:16,684 --> 00:27:17,604
Speaker 1: should have taken the hat.

525
00:27:17,644 --> 00:27:18,244
Speaker 2: I didn't know.

526
00:27:18,644 --> 00:27:21,084
Speaker 1: I didn't know. I turned my nose up at the hat.

527
00:27:21,204 --> 00:27:23,964
Speaker 1: I was like, I got the lowest value price oh,

528
00:27:24,044 --> 00:27:26,444
Speaker 1: there were also cash prizes. You could go into this cash.

529
00:27:26,724 --> 00:27:29,804
Speaker 1: There were so many good prizes, and I drew the hat.

530
00:27:30,204 --> 00:27:32,604
Speaker 1: I am not running well this tournament series so far,

531
00:27:33,324 --> 00:27:38,244
Speaker 1: you know, down almost ten thousand dollars and a hat.

532
00:27:38,404 --> 00:27:41,684
Speaker 2: Turn out around, let's turn around. I you know it happens.

533
00:27:41,724 --> 00:27:43,684
Speaker 2: I look my second leg of the World Series this year,

534
00:27:45,084 --> 00:27:46,564
Speaker 2: it's all kind of a blur. There was so much

535
00:27:46,604 --> 00:27:50,364
Speaker 2: politics news, but just brick everything right, So, oh, I

536
00:27:50,364 --> 00:27:52,924
Speaker 2: forget what it was over twelve or thirteen or something probably,

537
00:27:53,004 --> 00:27:55,684
Speaker 2: And that's very normal. The chances of that, if you

538
00:27:55,684 --> 00:27:58,724
Speaker 2: do the math, they're like quite a bit higher than

539
00:27:58,764 --> 00:28:02,284
Speaker 2: you might expect or want intuitively.

540
00:28:02,124 --> 00:28:04,804
Speaker 1: Absolutely, And I've had a very good year, so I'm

541
00:28:04,844 --> 00:28:07,004
Speaker 1: not complaining. I just want people to realize that there

542
00:28:07,044 --> 00:28:08,524
Speaker 1: is a lot of variance in this game. You know,

543
00:28:08,644 --> 00:28:10,564
Speaker 1: just like in life, you go through you go through

544
00:28:10,604 --> 00:28:13,324
Speaker 1: these periods where you know, things just don't come together,

545
00:28:13,404 --> 00:28:15,884
Speaker 1: and it's hard to forget that. It's hard to remember

546
00:28:15,924 --> 00:28:17,924
Speaker 1: that when things are coming together right, like when you're

547
00:28:17,964 --> 00:28:20,444
Speaker 1: running well, when you're cash and you're like, oh, this

548
00:28:20,524 --> 00:28:23,884
Speaker 1: is easy. Poker's easy. Life is great, And I think

549
00:28:23,884 --> 00:28:25,924
Speaker 1: that's true of life in general. Right, when things are

550
00:28:25,924 --> 00:28:27,924
Speaker 1: going well, you're like, yeah, this is good, this is

551
00:28:27,924 --> 00:28:30,804
Speaker 1: how life should be. But you do go through periods

552
00:28:30,844 --> 00:28:33,044
Speaker 1: when should hits the fan, when things do not go

553
00:28:33,124 --> 00:28:36,004
Speaker 1: as well as planned. But I hope I turn it

554
00:28:36,044 --> 00:28:38,524
Speaker 1: around and that some of your three k you know,

555
00:28:38,604 --> 00:28:41,844
Speaker 1: success rumps off on me so that I do not

556
00:28:42,004 --> 00:28:45,764
Speaker 1: have to then go and play the prime yet again,

557
00:28:46,684 --> 00:28:50,604
Speaker 1: because this is a one K event that's very worth

558
00:28:50,684 --> 00:28:53,804
Speaker 1: playing the maximount of times since it's probably the largest

559
00:28:53,804 --> 00:28:56,684
Speaker 1: one K event of the year. So it's exciting. It's

560
00:28:56,724 --> 00:28:59,084
Speaker 1: an exciting series. I'm looking forward to the rest and

561
00:28:59,084 --> 00:29:02,004
Speaker 1: I'm looking forward to running a little bit better, and

562
00:29:02,084 --> 00:29:05,444
Speaker 1: I hope both of us do. Let's take a break

563
00:29:05,484 --> 00:29:15,444
Speaker 1: and then let's take a listener question and talk about bilingualism.

564
00:29:24,004 --> 00:29:28,804
Speaker 1: We had a listener named Ed who had a question

565
00:29:29,284 --> 00:29:34,004
Speaker 1: about language learning. So should you learn a second language

566
00:29:34,124 --> 00:29:39,444
Speaker 1: or not? And he maintains that as a primary English speaker,

567
00:29:39,684 --> 00:29:43,324
Speaker 1: the ev for learning a second language is hugely negative,

568
00:29:43,724 --> 00:29:46,844
Speaker 1: that it's a time suck. English is common. There's no

569
00:29:47,044 --> 00:29:50,244
Speaker 1: obvious second language to learn that is better than any others,

570
00:29:51,644 --> 00:29:54,404
Speaker 1: you know. He talks about Spanish, Amandarin, that they're both

571
00:29:54,404 --> 00:29:57,804
Speaker 1: commonly spoken, but how often will he go to a

572
00:29:57,844 --> 00:30:01,164
Speaker 1: place where he'll only have that and no one to

573
00:30:01,204 --> 00:30:06,004
Speaker 1: broker communications, doubly so with internet translation. So yeah, he

574
00:30:06,084 --> 00:30:08,804
Speaker 1: just wants to know, is are there situations that make

575
00:30:08,844 --> 00:30:12,444
Speaker 1: it marginally positive for a not for a native English speaker,

576
00:30:12,444 --> 00:30:15,284
Speaker 1: assuming you're not living with bilingual parents and getting your

577
00:30:15,284 --> 00:30:16,444
Speaker 1: second language as a free.

578
00:30:16,404 --> 00:30:18,564
Speaker 2: What are your what are your second language status is?

579
00:30:18,564 --> 00:30:23,764
Speaker 1: Maria, Russian, French, Spanish, Italian and Persian.

580
00:30:24,684 --> 00:30:28,564
Speaker 2: Jeez, okay, so you clearly you clearly don't agree with

581
00:30:28,564 --> 00:30:30,044
Speaker 2: a listener, Then no, I.

582
00:30:30,004 --> 00:30:32,204
Speaker 1: Don't at all. I actually and I think that there's

583
00:30:32,284 --> 00:30:35,644
Speaker 1: a ton of research on why you want to learn

584
00:30:35,764 --> 00:30:39,044
Speaker 1: a second language that has nothing to do with, you know,

585
00:30:39,404 --> 00:30:42,444
Speaker 1: traveling over the world and having it be you know,

586
00:30:42,484 --> 00:30:46,844
Speaker 1: a you know, basically how to communicate with people that

587
00:30:46,924 --> 00:30:49,684
Speaker 1: I think, by the way, is incredibly important. I actually

588
00:30:49,764 --> 00:30:51,964
Speaker 1: think it's great to be able to speak the language

589
00:30:52,004 --> 00:30:54,604
Speaker 1: at least a little bit of the place that you're visiting.

590
00:30:54,804 --> 00:30:57,284
Speaker 1: It helps you appreciate it more, It helps you get

591
00:30:57,284 --> 00:31:01,244
Speaker 1: a different experience, and you will, you know, I like

592
00:31:01,324 --> 00:31:03,964
Speaker 1: going off the beaten path, right like I like going

593
00:31:04,004 --> 00:31:06,764
Speaker 1: to places that are kind of in in the back

594
00:31:06,844 --> 00:31:10,444
Speaker 1: alleys and like the local hidden places where oftentimes people

595
00:31:10,484 --> 00:31:13,284
Speaker 1: don't speak English. And I think that I think that

596
00:31:13,324 --> 00:31:16,244
Speaker 1: you just you gain a lot from life for being

597
00:31:16,284 --> 00:31:18,444
Speaker 1: able to speak the language. So I disagree with that,

598
00:31:18,564 --> 00:31:20,964
Speaker 1: but that's a matter of you know, opinion, right, And

599
00:31:21,004 --> 00:31:23,324
Speaker 1: I don't want to be like an obnoxious tourus because

600
00:31:23,444 --> 00:31:26,324
Speaker 1: if you think about it, basically everyone else in the

601
00:31:26,324 --> 00:31:29,284
Speaker 1: world is bilingual and they've learned English to help the

602
00:31:29,484 --> 00:31:33,484
Speaker 1: idiot Americans who refused to learn a second language, Like,

603
00:31:33,564 --> 00:31:36,084
Speaker 1: if you meet someone from the Netherlands, they're going to

604
00:31:36,124 --> 00:31:38,484
Speaker 1: speak English. If you meet someone from France, they're going

605
00:31:38,524 --> 00:31:41,324
Speaker 1: to speak English. And you know they they I think

606
00:31:41,364 --> 00:31:44,284
Speaker 1: are a lot richer for it because they have acquired

607
00:31:44,324 --> 00:31:47,724
Speaker 1: that second language. And I think that it's just it's

608
00:31:47,924 --> 00:31:50,964
Speaker 1: great to be able to do it as well. But

609
00:31:51,284 --> 00:31:54,324
Speaker 1: if we talk about the research, there are actually a

610
00:31:54,444 --> 00:31:58,524
Speaker 1: ton of benefits for your brain for for learning more

611
00:31:58,604 --> 00:32:02,124
Speaker 1: languages that actually I was wondering just before we get

612
00:32:02,124 --> 00:32:04,124
Speaker 1: into that, do you have kind of do you have

613
00:32:04,164 --> 00:32:07,764
Speaker 1: other languages and kind of what's your just high level

614
00:32:07,764 --> 00:32:08,244
Speaker 1: take on this.

615
00:32:08,604 --> 00:32:11,524
Speaker 2: No, I look, I they took Spanish in high school

616
00:32:12,604 --> 00:32:14,804
Speaker 2: and learned just enough to pass out of my college

617
00:32:14,804 --> 00:32:18,524
Speaker 2: Spanish requirements. So I you know, I can listen at

618
00:32:18,524 --> 00:32:21,804
Speaker 2: like forty percent comprehension and read at sixty percent comprehension.

619
00:32:22,964 --> 00:32:25,124
Speaker 2: You know, restaurant menu stuff. I mean, in general, is

620
00:32:25,164 --> 00:32:27,844
Speaker 2: a foodie I can read. I actually prefer to read,

621
00:32:27,924 --> 00:32:32,164
Speaker 2: like I'd rather see an Italian menu in Italian than English,

622
00:32:32,164 --> 00:32:35,204
Speaker 2: because I trust my abilit of like a know the

623
00:32:35,284 --> 00:32:37,764
Speaker 2: original terms or translate more. But yeah, apart from apart

624
00:32:37,764 --> 00:32:42,004
Speaker 2: from that very limited basis, no, I look, I am

625
00:32:42,044 --> 00:32:45,044
Speaker 2: sympathetic to the research you're setting for a couple of reasons, right.

626
00:32:46,524 --> 00:32:48,524
Speaker 2: One is, I do think that like if you look

627
00:32:48,564 --> 00:32:53,444
Speaker 2: at like large language models, they suggest that like any

628
00:32:53,484 --> 00:32:56,724
Speaker 2: given language, whether it's English or Spanish, or French or Russian,

629
00:32:56,844 --> 00:32:59,844
Speaker 2: or whether it's computer language or mathematical language, is like

630
00:33:00,964 --> 00:33:05,684
Speaker 2: an incomplete representation of like the kind of implicit to

631
00:33:05,764 --> 00:33:10,604
Speaker 2: sound pretentious implicit vector space of human thought. Yeah, and

632
00:33:10,684 --> 00:33:14,524
Speaker 2: so having a wider like literal vocabulary that's not just

633
00:33:14,564 --> 00:33:16,644
Speaker 2: English based and interesting. I mean, the analogy I sometimes

634
00:33:16,724 --> 00:33:22,364
Speaker 2: make is like there are poker concepts that are hard

635
00:33:22,484 --> 00:33:26,244
Speaker 2: to translate if you haven't specifically played poker. Right, The

636
00:33:26,284 --> 00:33:29,004
Speaker 2: notion that like if you're indifferent between two decisions, that

637
00:33:29,204 --> 00:33:32,244
Speaker 2: like small factors make a difference. I mean it's kind

638
00:33:32,244 --> 00:33:34,564
Speaker 2: of legible in English, but like, but yeah, you know,

639
00:33:34,684 --> 00:33:36,844
Speaker 2: and sometimes I'm thinking a lot about poker, like programming

640
00:33:36,924 --> 00:33:39,404
Speaker 2: or things like that. It feels like it's improving some

641
00:33:39,524 --> 00:33:41,964
Speaker 2: other types of cognitive recognition, where if I'm really deep in

642
00:33:42,004 --> 00:33:46,204
Speaker 2: like doing some static coding or something, it's hard to know.

643
00:33:46,244 --> 00:33:47,604
Speaker 2: I mean, the question is kind of what are the

644
00:33:47,764 --> 00:33:51,004
Speaker 2: realistic trade offs? I mean, maybe if you did learn

645
00:33:51,084 --> 00:33:53,444
Speaker 2: programming language, maybe you did learn a craft deeply. I

646
00:33:53,524 --> 00:33:57,284
Speaker 2: you know, I think there is a lot of metaphors

647
00:33:57,364 --> 00:34:01,204
Speaker 2: in art and literature that I think are probably somewhat

648
00:34:01,284 --> 00:34:03,884
Speaker 2: parallel to language. Of course, you can read some of

649
00:34:03,924 --> 00:34:07,484
Speaker 2: those texts earlier easier if you have. If you have,

650
00:34:07,604 --> 00:34:10,964
Speaker 2: but yeah, I don't know. I like, where are you

651
00:34:11,004 --> 00:34:13,244
Speaker 2: making a big better or a small bet? Right? Like

652
00:34:13,284 --> 00:34:17,644
Speaker 2: should I do in my spare time take do a lingos?

653
00:34:17,724 --> 00:34:19,724
Speaker 2: So if we're at the EPT Paris next year, I

654
00:34:19,764 --> 00:34:23,204
Speaker 2: can kind of make half sentences or not right or

655
00:34:23,204 --> 00:34:24,964
Speaker 2: shout to go all in. I mean, where do you

656
00:34:24,964 --> 00:34:25,604
Speaker 2: line up there?

657
00:34:26,044 --> 00:34:29,284
Speaker 1: Yeah? I think that that's a very personal decision. But

658
00:34:29,364 --> 00:34:31,484
Speaker 1: I think so. One of the things you mentioned, I

659
00:34:31,524 --> 00:34:33,604
Speaker 1: think there is a lot of work on which is

660
00:34:33,644 --> 00:34:37,324
Speaker 1: that our views of the world really are expanded by

661
00:34:37,324 --> 00:34:40,324
Speaker 1: having the proper vocabulary for it, right Like being able

662
00:34:40,324 --> 00:34:44,084
Speaker 1: to express your thoughts, emotions, kind of having the words

663
00:34:44,124 --> 00:34:48,324
Speaker 1: for things actually helps you, you know, figure out what

664
00:34:48,404 --> 00:34:51,884
Speaker 1: they are, helps you think more rationally, more logically, make

665
00:34:52,044 --> 00:34:55,444
Speaker 1: better decisions, and they're you know, sometimes I have a

666
00:34:55,564 --> 00:34:58,284
Speaker 1: Russian word for something that doesn't exist in English, and

667
00:34:58,324 --> 00:35:01,284
Speaker 1: it's a nuance. It's a distinction that I wouldn't otherwise have.

668
00:35:01,644 --> 00:35:03,404
Speaker 1: And we know that this is true of like just

669
00:35:03,444 --> 00:35:06,684
Speaker 1: physical perception of the world, right You people who have

670
00:35:07,084 --> 00:35:11,484
Speaker 1: who are artists, who have larger palette of colors and

671
00:35:11,804 --> 00:35:14,524
Speaker 1: know all the different hues, they actually are able to

672
00:35:14,564 --> 00:35:17,324
Speaker 1: distinguish more colors when you give them kind of a

673
00:35:17,364 --> 00:35:19,924
Speaker 1: color wheel. Where someone might be like, oh I see

674
00:35:19,964 --> 00:35:22,884
Speaker 1: red and green, they actually see more colors, right, Like,

675
00:35:22,964 --> 00:35:26,644
Speaker 1: their visual experience is different because they know what the

676
00:35:26,644 --> 00:35:29,804
Speaker 1: words are, and different languages have different words for things,

677
00:35:29,844 --> 00:35:32,244
Speaker 1: and I think that's really important. I think that that's

678
00:35:32,244 --> 00:35:37,524
Speaker 1: actually really cool. Like I love these learning learning kind

679
00:35:37,564 --> 00:35:40,804
Speaker 1: of even languages I don't know, learning words to express

680
00:35:41,004 --> 00:35:45,404
Speaker 1: certain concepts, certain states, you know, certain parts of the world.

681
00:35:45,884 --> 00:35:49,004
Speaker 1: But there are also other benefits beyond that. So first,

682
00:35:49,284 --> 00:35:52,644
Speaker 1: cognitive control, which is executive control, which is really important,

683
00:35:52,684 --> 00:35:56,964
Speaker 1: is better in bilinguals. So all of those cognitive functions

684
00:35:57,004 --> 00:36:00,284
Speaker 1: tend to be enhanced by having kind of the control

685
00:36:00,324 --> 00:36:03,204
Speaker 1: to switch between languages. Right, having all these different things

686
00:36:03,204 --> 00:36:05,924
Speaker 1: co exist in your mind, especially if you learn it young.

687
00:36:06,004 --> 00:36:08,284
Speaker 1: But right now, let's not talk about that, because that's

688
00:36:08,284 --> 00:36:10,204
Speaker 1: not what the question is. Right. He actually tries to

689
00:36:10,244 --> 00:36:12,644
Speaker 1: exclude people who had it as a freebie. So like

690
00:36:12,684 --> 00:36:15,084
Speaker 1: Russian for me is a freebie, but English is not.

691
00:36:15,204 --> 00:36:18,124
Speaker 1: I actually grew up modelingual just speaking Russian. I learned

692
00:36:18,124 --> 00:36:21,444
Speaker 1: English in school when I was already you know, when

693
00:36:21,444 --> 00:36:25,484
Speaker 1: I was five years old, so it wasn't quite a freebie,

694
00:36:25,524 --> 00:36:27,324
Speaker 1: but I was still a little kid. So let's just

695
00:36:27,364 --> 00:36:29,564
Speaker 1: call it a freebie. And then the other language.

696
00:36:29,644 --> 00:36:31,884
Speaker 2: If you're Russian guys discussing poker at the table, do

697
00:36:31,964 --> 00:36:33,564
Speaker 2: they assume you don't know what they're saying.

698
00:36:33,884 --> 00:36:36,884
Speaker 1: Sometimes when they don't, it's amazing because they'll say horrible

699
00:36:36,924 --> 00:36:40,564
Speaker 1: things about me, assumptions about me, or things about their hand.

700
00:36:40,884 --> 00:36:42,964
Speaker 1: And I've actually learned a lot of information. More and

701
00:36:43,004 --> 00:36:46,164
Speaker 1: more people realize I speak Russian these days, but a

702
00:36:46,164 --> 00:36:48,124
Speaker 1: lot of people still don't know. Yeah, so that is

703
00:36:48,164 --> 00:36:50,244
Speaker 1: a lot of fun. But the other thing that I

704
00:36:50,244 --> 00:36:54,364
Speaker 1: think that our listener would be very interested in knowing

705
00:36:54,764 --> 00:36:57,284
Speaker 1: is that it seems like people who speak more languages

706
00:36:57,644 --> 00:37:00,484
Speaker 1: actually age a lot better and their brains are protected

707
00:37:00,564 --> 00:37:05,164
Speaker 1: a lot longer and more strongly from dementia and cognitive decline.

708
00:37:05,444 --> 00:37:10,884
Speaker 1: So on average, people who are bilingual or or more

709
00:37:10,924 --> 00:37:15,804
Speaker 1: but let's just say bilingual, if they experience signs of

710
00:37:15,844 --> 00:37:19,124
Speaker 1: cognitive decline over four years later than people who aren't,

711
00:37:19,124 --> 00:37:21,444
Speaker 1: that's huge, right, Like, think about that, Like.

712
00:37:21,524 --> 00:37:23,284
Speaker 2: Sotimes, we know this is not how do we know

713
00:37:23,324 --> 00:37:27,284
Speaker 2: this is not just selecting for higher socio economic status

714
00:37:27,324 --> 00:37:28,124
Speaker 2: and or education.

715
00:37:28,324 --> 00:37:30,644
Speaker 1: So these studies are pretty well done with those types

716
00:37:30,684 --> 00:37:33,124
Speaker 1: of controls, right, So that's super easy to control for

717
00:37:33,564 --> 00:37:36,764
Speaker 1: you just put in a control for socioeconomic status and

718
00:37:36,804 --> 00:37:39,604
Speaker 1: you see does this still have an effect? And in

719
00:37:39,644 --> 00:37:42,204
Speaker 1: general it seems like it does. Now, this work is prelimited,

720
00:37:42,244 --> 00:37:45,764
Speaker 1: Like we all of these types of things are incredibly difficult, right,

721
00:37:46,244 --> 00:37:48,964
Speaker 1: These are really really hard things to study. So we

722
00:37:49,084 --> 00:37:51,404
Speaker 1: have a good sense that this that this might matter,

723
00:37:52,324 --> 00:37:55,844
Speaker 1: and we know that you know with like with dementia,

724
00:37:55,884 --> 00:37:58,284
Speaker 1: where you where you actually see Alzheimer's where you can

725
00:37:58,324 --> 00:38:00,484
Speaker 1: see kind of the plaques, et cetera. And then you

726
00:38:00,524 --> 00:38:03,044
Speaker 1: can just see like when did people you know, after

727
00:38:03,084 --> 00:38:05,684
Speaker 1: they die, like when did they start exhibiting signs? You

728
00:38:05,804 --> 00:38:09,004
Speaker 1: end up seeing that people who are bilingual exhibit signs

729
00:38:09,084 --> 00:38:12,484
Speaker 1: much later, so they're able to kind of compensate, right,

730
00:38:12,484 --> 00:38:14,284
Speaker 1: because you have different parts of your brain, you're able

731
00:38:14,324 --> 00:38:17,284
Speaker 1: to compensate for the loss in a much better way.

732
00:38:18,164 --> 00:38:20,684
Speaker 1: And I think that that's really interesting. Oftentimes there's a

733
00:38:20,684 --> 00:38:25,524
Speaker 1: lot of clinical evidence and it's quite quite interesting. But

734
00:38:25,884 --> 00:38:28,844
Speaker 1: when you have a stroke, you know when when something

735
00:38:28,924 --> 00:38:32,084
Speaker 1: goes really wrong in your brain, oftentimes people who are

736
00:38:32,084 --> 00:38:35,924
Speaker 1: bilingual switchlan like you forget one language but you retain

737
00:38:35,964 --> 00:38:39,964
Speaker 1: the other somehow. It's really cool. Yeah, there's some really

738
00:38:40,004 --> 00:38:43,844
Speaker 1: really cool stuff where your brain is much more flexible

739
00:38:44,404 --> 00:38:46,924
Speaker 1: and you have much more cognitive capacity to deal with

740
00:38:46,964 --> 00:38:49,804
Speaker 1: bad shit happening. And I think that that's something that

741
00:38:49,844 --> 00:38:52,964
Speaker 1: everyone should want, right, Like you want to think and

742
00:38:53,044 --> 00:38:57,284
Speaker 1: be sharper and have kind of those reserves for as

743
00:38:57,324 --> 00:39:01,564
Speaker 1: long as possible, so to me, it's just an absolute

744
00:39:01,644 --> 00:39:06,484
Speaker 1: no brainer for no pun intended for a lot of reasons.

745
00:39:06,524 --> 00:39:08,764
Speaker 1: But I think that all of these different areas of

746
00:39:08,804 --> 00:39:12,284
Speaker 1: research are interesting, Maria.

747
00:39:12,044 --> 00:39:13,764
Speaker 2: Since we both have some poker to play and in

748
00:39:13,804 --> 00:39:15,644
Speaker 2: my case also lunch to eat. Do you want to

749
00:39:15,884 --> 00:39:16,524
Speaker 2: wrap up there?

750
00:39:16,724 --> 00:39:20,204
Speaker 1: Yeah, that sounds good to me. I hope, dear ed,

751
00:39:20,404 --> 00:39:23,924
Speaker 1: that we've convinced you to learn a second language, that

752
00:39:23,964 --> 00:39:27,004
Speaker 1: it is actually plus ev for you for a number

753
00:39:27,004 --> 00:39:29,444
Speaker 1: of reasons, even though most people you encounter will be

754
00:39:29,444 --> 00:39:30,444
Speaker 1: able to speak English.

755
00:39:30,964 --> 00:39:34,284
Speaker 2: If you have a listener question, dear listener, email us

756
00:39:34,324 --> 00:39:38,204
Speaker 2: at Risky Business all one word at Pushkin dot fm,

757
00:39:38,244 --> 00:39:39,804
Speaker 2: and maybe you will have the chance to be on

758
00:39:39,844 --> 00:39:41,764
Speaker 2: the air and to have let us have some fun

759
00:39:41,804 --> 00:39:42,764
Speaker 2: with your question instead.

760
00:39:48,724 --> 00:39:50,924
Speaker 1: Risky Business is hosted by me Maria.

761
00:39:50,644 --> 00:39:52,764
Speaker 2: Kannikova and byb Nate Silver.

762
00:39:53,324 --> 00:39:56,844
Speaker 1: The show is a co production of Pushkin Industries and iHeartMedia.

763
00:39:57,364 --> 00:40:00,924
Speaker 1: This episode was produced by Isabelle Carter. Our associate producer

764
00:40:01,004 --> 00:40:04,524
Speaker 1: is Gabriel Hunter Chang. Our executive producer is Jacob Goldstein.

765
00:40:05,044 --> 00:40:07,204
Speaker 2: If you like the show, please rate and review us

766
00:40:07,204 --> 00:40:09,204
Speaker 2: so all the people can find us too, And if

767
00:40:09,204 --> 00:40:11,644
Speaker 2: you to listen to an ad free version. Sign up

768
00:40:11,684 --> 00:40:14,284
Speaker 2: for Pushkin Plus For six, ten and nine a month,

769
00:40:14,284 --> 00:40:17,084
Speaker 2: you get access to ad free listening. Thanks for tuning in,