WEBVTT

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Welcome back to the Deep Dive. I have to admit,

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the prep for today's session felt a little bit

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like doom scrolling. Oh, I know that feeling.

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You know that feeling when it's like 1130 at

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night, you should be asleep, but instead you're

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on Zillow just looking at houses you can't afford

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in cities you don't even live in. Oh, absolutely.

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It's the modern American pastime. It's real estate

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voyeurism. It is. It's almost a competitive sport

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at this point. Exactly. But for most of us, it's

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not just voyeurism. It's anxiety. We are tackling

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a topic today that I think occupies about, I

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don't know, 50 % of our collective brain space.

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At least. We are talking about the housing market.

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And specifically, we are taking a hard, unflinching

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look at the concept of the housing bubble. It

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is the specter haunting every homeowner and every

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hopeful buyer. It's, uh... The ghost at the banquet.

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It really is. Because housing isn't just shelter

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anymore. I mean, somewhere along the line, we

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developed this massive cultural narrative that

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housing is the safe investment. Right. The one

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thing that always goes up. It's the retirement

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plan. It's the legacy. For a huge chunk of the

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population, it is the single biggest financial

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asset they will ever own. Which puts a tremendous

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amount of psychological and financial pressure

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on that one asset. Totally. If your stock portfolio

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drops 10%, you're annoyed. Maybe you skip a vacation.

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But if your house value drops 10 % or worse,

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if you buy at the peak and it drops, you feel

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like your life is falling apart. You feel trapped.

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Precisely. And the terrifying question that keeps

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people up at night, whether they just bought

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a place or are desperately trying to, is this.

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Is the price I'm paying actually real? Is it

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tangible? Is this value tangible? Or is it just

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hot air that's about to pop? That is the multi

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-trillion dollar question. And frankly, it's

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a question that economists, sociologists and

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regular homebuyers have been wrestling with for,

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well, for centuries. It's not a new anxiety.

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So here is our mission for this deep dive. We're

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going to move beyond the scary headlines. We

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are ignoring the clickbait that says crash imminent

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every single Tuesday. We have a massive stack

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of research here. anchored by a really comprehensive

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breakdown from Wikipedia that aggregates work

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from Nobel laureates like Joseph Stiglitz, housing

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experts like Lind, Mayer, Schiller. And we're

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going to break down the mechanics of a bubble.

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We're going to look under the hood. We want to

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understand the engine, you know, not just the

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shiny paint job. We need to strip away the emotion

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and look at the gears turning underneath. We

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want to equip you, the listener. With the tools

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to spot the difference between a market that

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is just expensive. Because sometimes things are

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just expensive, right? Right. You pay a lot for

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a Ferrari because it's a Ferrari, not because

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it's in a bubble. Correct. High prices do not

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automatically equal a bubble. That is probably

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the most critical distinction we need to make

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right up front. So we're going to find that line.

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Yeah. And we are going to try to answer the big

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one. Can we actually predict when the pop is

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coming? That's a tall order. Economists are notoriously

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bad at predicting the future. Yeah. Wasn't there

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an old joke about that? There is. The old joke

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is that economists have predicted nine of the

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last five recessions. But the data we have today

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regarding housing is actually quite fascinating

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when you strip away the panic. OK, so here is

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the roadmap for our journey today. First, we

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are going to find what a bubble actually is.

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And I learned in the prep for this that it is.

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way more controversial than you might think.

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It is. There isn't just one definition. There's

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a bit of an academic brawl over it. A very polite,

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very nerdy brawl, but a brawl nonetheless. The

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best kind. Then we're going to get into the checklists.

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These are the tools researchers use, and they

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range from hard math to checking what people

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are talking about at dinner parties to spot the

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warning signs. From the quantitative to the qualitative.

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Exactly. And finally, we are going to take a

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tour of history. We have actual numbers from

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the past 40 or 50 years of OECD data to see just

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how high the highs go and how low the lows crash.

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And looking at that history is so vital. It reminds

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us that we aren't the first people to go through

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this, and we certainly won't be the last. The

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patterns repeat because, well, human nature repeats.

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So let's unpack this. Let's start at the very

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beginning. If I asked you to define a housing

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bubble stripped down the elevator pitch, what

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are we looking at? Okay. If you want the most

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basic fundamental concept, a housing bubble shares

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the same DNA as any asset bubble. It operates

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in two very distinct phases. Two phases. Phase

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one is the run -up. Prices increased dramatically.

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And I don't mean they just tick up with inflation

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or because the neighborhood got a new park. I

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mean, a surge driven by speculation, investing

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and frankly, frenzy. OK, so up goes the rocket.

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Exactly. And then phase two, the correction.

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Prices fall dramatically. The bubble bursts and

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housing, in theory, becomes affordable again.

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But here's the kicker. And this is why we care

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so much about housing specifically. What's that?

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Housing bubbles affect the real economy much,

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much more than other assets do. When you say

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real economy, you mean the grocery store, the

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car dealership, the jobs report, the stuff that

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affects my day to day life. Precisely. Compare

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it to the stock market. If a, say, a tech stock

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crashes, it hurts the people who own that stock.

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Maybe a few venture capitalists lose their shirts.

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Maybe some day traders have a bad month. But

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housing bubbles are credit fueled. They involve

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mortgages. They involve the entire banking system.

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And they involve a massive number of regular

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households. Right. If I buy a stock that crashes,

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I lose my initial investment, but I don't usually

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owe anyone more money unless I'm doing something

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fancy like trading on margin. Right. But with

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a house, I've signed a 30 -year contract to pay

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back a specific amount of money. Regardless of

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what the house is worth tomorrow. Exactly. If

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your house value crashes, you might go underwater

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owing more than the house is actually worth.

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And even if you don't sell, you stop spending

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money. You feel poorer. You feel poorer. You

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stop renovating the kitchen. You stop going out

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to eat. You delay buying that new car. That's

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something called the wealth effect. And it is

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so much larger for housing than for other financial

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assets. Why is that? Because for most people,

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the house is their wealth. So when your house

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feels worth less, you feel poorer and the whole

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economy can grind to a halt because of it. It's

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like the house is the battery of the consumer

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economy. And when the bubble bursts, the battery

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just dies. That is a very, very apt metaphor.

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OK, so that's the general vibe. We know it's

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big. We know it hurts. But let's get into the

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nitty gritty of the definition, because you mentioned

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there is a debate here. There is. We have two

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heavyweights in the source material regarding

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the definition of a bubble. Joseph Stiglitz and

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H. Lind. Yes. And this is essentially the battle

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between the why and the what. It's a philosophical

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divergence on how we should even view economic

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events. The why versus the what. Let's start

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with Stiglitz. He's a Nobel Prize winner, wrote

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about this way back in 1990. What was his take

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on it? So Joseph Stiglitz takes a very psychological

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and fundamental view. For him, a bubble is defined

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by the intent of the buyer. The intent. OK. He

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argues that a bubble exists if the price is high

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today only because investors believe it will

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be selling for even higher tomorrow. So it's

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purely speculative. The asset itself doesn't

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even matter. It could be a house. It could be

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a fidget spinner. It could be a tulip bulb. Exactly.

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He says you have a bubble when fundamental factors

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do not justify the price. The only justification

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is the belief in the future price rise. He's

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looking for that disconnect between sort of the

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utility of the thing and the price of the thing.

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It's like buying a ticket to a concert, not because

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you want to see the band, but because you think

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a scalper will pay you double for it next week.

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That is a perfect analogy. You don't care about

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the utility of the ticket. You only care about

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the resale value. If the music or the shelter,

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in the case of a house, doesn't justify the price

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tag, Stiglitz says that is a bubble. It implies

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that people are buying... Just to pass the hot

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potato to someone else down the line. The greater

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fool theory. Exactly. I buy it for $100 because

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I think a greater fool will buy it from me for

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$200. Okay, that makes a lot of intuitive sense.

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If I'm buying a shack for $1 million just because

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I think it'll be $2 million next year, that feels

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like a bubble. But then comes H. Lind in 2009,

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and he's essentially the anti -Stiglitz. He is.

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What's his problem with that definition? Lind's

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problem is practical. He looks at Stiglitz's

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definition and says, That's great philosophy,

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Joseph. But how on earth do we measure it? He

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argues that the concept of fundamentals is way

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too vague to be useful in the real world. I mean,

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who decides what the fundamental value of a house

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in San Francisco or London is? Right. Is it the

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sunshine? Is the job market? Is it the fact that

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there's a cool coffee shop on the corner? How

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do you put a number on that? You can't. It's

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subjective. It's messy. One person's overpriced

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shack is another person's green renovation project

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in a prime location. Lind argues that if we rely

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on fundamentals, we'll just never agree on when

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a bubble actually exists. We'll be arguing about

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it forever. So if you can't measure the fundamentals,

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you can't prove it's a bubble until after it

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pops. Exactly. Stiglitz's definition leaves you

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arguing about feelings and intentions. It's not

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empirical. So Lind proposes a definition based

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solely on price movement. Just the data. Just

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the data. He says, stop worrying about why the

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price is moving. Just look at the chart. His

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definition is simply a bubble is a dramatic increase

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in real prices over a period of months or years,

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followed by an immediate dramatic fall. He's

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saying, I don't care about your feelings or your

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psychology. Show me the geometry. That's a great

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way to put it. Don't worry about the cause. Verify

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the existence by the shape of the data. If it

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looks like a mountain, a steep climb up and a

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steep fall down, it was a bubble. It's a retrospective

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data driven definition. That seems a lot easier

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to measure. And speaking of measuring, the source

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material actually gives us some hard numbers

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from a couple of researchers, Aust and Rafelson

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in 2017. Yes. And I love this because it finally

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puts a number on the word dramatic. Yes. We aren't

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just using adjectives anymore. Yes. They tried

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to operationalize Lynn's definition. They created

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specific mathematical thresholds for what counts

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as a large bubble versus a small bubble. So it's

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a binary check. Is it or isn't it? Pretty much.

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It gives us a ruler to measure history with.

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Okay. Lay it on us. What is a large bubble in

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the eyes of an economist? To qualify as a large

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bubble, you need real prices. And that's inflation

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adjusted prices, mind you. So we aren't just

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looking at nominal dollars. Important detail.

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A very important detail. Real prices have to

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rise at least 50 % over a five year period. Or

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if it's a shorter, more intense boom, 35 % over

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a three year period. Let's pause on that. A 50

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% increase in five years after inflation. That

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is a massive jump. It is. If your house is worth

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$500 ,000. Five years later, it's $750 ,000 adjusted

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for inflation. That is wealth creation literally

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out of thin air. Correct. It's compounding at

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a rate that far, far outstrips wages or normal

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economic growth. It's an anomaly, but that's

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only half the definition. Right. It has to pop.

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It has to pop. So they define the fall as an

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immediate drop of at least 35%. Oof. That is

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painful. That wipes out almost all the gains.

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It does. It essentially resets the market, but

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it leaves a trail of bankruptcy and financial

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pain in its wake. And what about a small bubble?

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What are the thresholds for that? A small bubble

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is a rise of at least 35 percent over five years

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or 20 percent over three years. And that's followed

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by a fall of at least 20 percent. I really appreciate

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that they put numbers to this. It gives us that

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measuring stick so we aren't just using vibes.

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It allows us to look at history objectively and

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say, okay, 2008 in the U .S. was a large bubble,

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but maybe, you know, 1995 was just a blip. It

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does. But it also highlights the tricky problem

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with Lynn's definition, which you pointed out

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earlier. What's that? You only know for sure

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it was a bubble after it has crashed. Right.

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Until it crashes, it's just a dramatic rise.

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You're standing at the top of the mountain, but

00:12:08.360 --> 00:12:09.740
you don't know if you're about to fall off a

00:12:09.740 --> 00:12:12.179
cliff or just walk onto a plateau where prices

00:12:12.179 --> 00:12:15.940
stay. Exactly. And that brings us to the most

00:12:15.940 --> 00:12:18.779
critical part of our discussion today. How do

00:12:18.779 --> 00:12:21.480
we identify the bubble before the crash? We need

00:12:21.480 --> 00:12:23.820
to distinguish between something being just expensive

00:12:23.820 --> 00:12:28.059
or overpriced versus being in an actual bubble.

00:12:28.500 --> 00:12:30.860
This is a distinction that I think gets completely

00:12:30.860 --> 00:12:33.980
lost in the media frenzy. Every time prices go

00:12:33.980 --> 00:12:36.639
up, someone screams, bubble. It feels like crying

00:12:36.639 --> 00:12:39.559
wolf after a while. It does. But as our expert

00:12:39.559 --> 00:12:42.759
sources note. Overpricing is necessary for a

00:12:42.759 --> 00:12:45.360
bubble. You can't have a bubble without overpricing,

00:12:45.360 --> 00:12:47.620
but it is not sufficient. Not sufficient. You

00:12:47.620 --> 00:12:49.720
can have overpricing without a bubble. Explain

00:12:49.720 --> 00:12:51.960
that. How can something be overpriced but not

00:12:51.960 --> 00:12:54.639
be a bubble? That seems contradictory. Think

00:12:54.639 --> 00:12:57.059
of overpricing as a deviation from the equilibrium

00:12:57.059 --> 00:13:00.480
price. A fever is a good analogy here. A fever

00:13:00.480 --> 00:13:02.679
is a symptom. You can have a fever because you

00:13:02.679 --> 00:13:05.360
just ran a marathon in the heat. That's overpricing

00:13:05.360 --> 00:13:08.120
due to temporary supply and demand issues. Maybe

00:13:08.120 --> 00:13:10.240
a big factory opened in town and there aren't

00:13:10.240 --> 00:13:12.620
enough houses yet. So prices go up. Prices go

00:13:12.620 --> 00:13:14.580
up. That's a fever. But that's rational, right?

00:13:14.740 --> 00:13:17.940
High demand, low supply, price goes up. That's

00:13:17.940 --> 00:13:21.480
Econ 101. Exactly. That fever will break naturally

00:13:21.480 --> 00:13:24.980
as more houses are built. But a bubble. A bubble

00:13:24.980 --> 00:13:27.340
is a specific disease that causes the fever.

00:13:27.639 --> 00:13:30.320
It's when the price goes up, not because of the

00:13:30.320 --> 00:13:32.980
new factory, but because everyone believes prices

00:13:32.980 --> 00:13:36.070
always go up. So the fever becomes self -sustaining.

00:13:36.129 --> 00:13:38.649
The fever becomes self -sustaining. The disease

00:13:38.649 --> 00:13:42.110
is the expectation, not the underlying reality.

00:13:42.570 --> 00:13:45.210
That's a great way to put it. So to diagnose

00:13:45.210 --> 00:13:47.490
the disease, researchers first need to determine

00:13:47.490 --> 00:13:50.409
what the equilibrium price should be. How do

00:13:50.409 --> 00:13:52.090
they know what the body temperature is supposed

00:13:52.090 --> 00:13:54.289
to be in the first place? Well, Christopher Mayer,

00:13:54.389 --> 00:13:56.850
back in 2011, surveyed the research and found

00:13:56.850 --> 00:13:59.169
three main approaches to finding this equilibrium.

00:14:00.029 --> 00:14:02.769
These are the three litmus tests economists use

00:14:02.769 --> 00:14:05.210
to see if the patient is sick. Okay, let's walk

00:14:05.210 --> 00:14:07.070
through them. Method number one. The finance

00:14:07.070 --> 00:14:09.830
-based method. This treats a house exactly like

00:14:09.830 --> 00:14:12.649
a stock or a bond. How does that work? If you

00:14:12.649 --> 00:14:15.230
are valuing a company, a share of stock, you

00:14:15.230 --> 00:14:17.570
look at the discounted sum of its future dividends,

00:14:17.710 --> 00:14:19.549
right? Right. The cash it's going to pay you.

00:14:19.629 --> 00:14:22.470
But houses don't pay me dividends. I pay it.

00:14:22.590 --> 00:14:25.549
I pay for the roof, the boiler, the property

00:14:25.549 --> 00:14:28.269
taxes. Well, actually, in economic terms, it

00:14:28.269 --> 00:14:30.649
does pay you a dividend. The dividend is the

00:14:30.649 --> 00:14:32.830
rent you save by living there or the rent you

00:14:32.830 --> 00:14:35.289
could earn by leasing it out. Okay. Economists

00:14:35.289 --> 00:14:38.029
call this imputed rent. It's the value of the

00:14:38.029 --> 00:14:40.210
service the house provides you, which is shelter.

00:14:40.429 --> 00:14:44.029
So the price of the house... should theoretically

00:14:44.029 --> 00:14:46.570
equal the discounted value of all those future

00:14:46.570 --> 00:14:49.350
rent payments. Exactly. And this gives us a really

00:14:49.350 --> 00:14:52.509
powerful tool. The price to rent ratio. This

00:14:52.509 --> 00:14:55.210
is your P .E. ratio for housing. Price to earnings

00:14:55.210 --> 00:14:58.610
for a house. Precisely. If house prices skyrocket,

00:14:58.610 --> 00:15:01.289
doubling, tripling, but rents in the same area

00:15:01.289 --> 00:15:04.470
stay flat, the finance based method says, hey,

00:15:04.649 --> 00:15:07.289
this asset is getting overvalued relative to

00:15:07.289 --> 00:15:09.289
the cash flow it generates. Like a stock with

00:15:09.289 --> 00:15:11.710
a P .E. ratio of a thousand. It just doesn't

00:15:11.710 --> 00:15:13.990
make sense mathematically. At some point, you'd

00:15:13.990 --> 00:15:15.870
be better off renting the house next door and

00:15:15.870 --> 00:15:18.590
investing the difference. Precisely. If the price

00:15:18.590 --> 00:15:21.049
-to -rent ratio gets way out of whack, the market

00:15:21.049 --> 00:15:23.889
is signaling a disconnect from reality. If it

00:15:23.889 --> 00:15:26.629
costs $5 ,000 a month to own but only $2 ,000

00:15:26.629 --> 00:15:29.110
to rent the identical house next door, why would

00:15:29.110 --> 00:15:31.730
anyone buy? The only reason they'd buy is if

00:15:31.730 --> 00:15:33.210
they think the price is going to keep rocketing

00:15:33.210 --> 00:15:35.610
up so they can sell to that greater fool. Exactly.

00:15:35.789 --> 00:15:38.570
You found the bubble. It's speculation. Okay,

00:15:38.629 --> 00:15:41.269
that makes sense. What's method number two? The

00:15:41.269 --> 00:15:43.850
construction cost method. This one is really

00:15:43.850 --> 00:15:46.250
interesting because it relies on physical reality.

00:15:46.610 --> 00:15:50.350
The logic is simple. Why would a used house be

00:15:50.350 --> 00:15:53.250
worth drastically more than the cost to build

00:15:53.250 --> 00:15:55.690
a brand new one right next to it? Right. If a

00:15:55.690 --> 00:15:57.610
30 -year -old house on the market costs a million

00:15:57.610 --> 00:16:00.370
dollars, but I can buy a plot of land and build

00:16:00.370 --> 00:16:02.990
a replica for $500 ,000, the market is broken.

00:16:03.830 --> 00:16:06.330
Arbitrage should kick in. Exactly. Competition

00:16:06.330 --> 00:16:08.730
from new construction should, in a rational market,

00:16:08.970 --> 00:16:11.490
drive the price of existing homes down to the

00:16:11.490 --> 00:16:14.450
cost of construction. If used houses are too

00:16:14.450 --> 00:16:16.990
expensive, developers will just build new ones

00:16:16.990 --> 00:16:19.190
until the price drops. But there's a nuance here,

00:16:19.210 --> 00:16:21.289
isn't there? Something called the kinked supply

00:16:21.289 --> 00:16:24.490
curve. Yes. I'm glad you brought that up. It

00:16:24.490 --> 00:16:27.909
was described by Glazer and Yurko in 2005, and

00:16:27.909 --> 00:16:30.049
it explains why crashes happen the way they do.

00:16:30.149 --> 00:16:33.100
The kinked supply curve. It sounds like a bad

00:16:33.100 --> 00:16:35.399
dance move, but I have a feeling it's important.

00:16:35.740 --> 00:16:38.220
It's very important. The theory is that supply

00:16:38.220 --> 00:16:41.740
is highly elastic, meaning it's flexible when

00:16:41.740 --> 00:16:44.000
prices are high. If prices are above construction

00:16:44.000 --> 00:16:47.220
costs, builders rush in. It's relatively easy

00:16:47.220 --> 00:16:49.100
to build more houses. You see cranes everywhere.

00:16:49.379 --> 00:16:51.700
Put up the drywall, pour the concrete, expand

00:16:51.700 --> 00:16:54.519
the suburbs. Let's go. But, and this is the critical

00:16:54.519 --> 00:16:57.539
part, when prices fall below construction costs,

00:16:57.940 --> 00:17:02.399
supply is inelastic. It is stuck. Because houses

00:17:02.399 --> 00:17:04.519
are durable. They don't just disappear when the

00:17:04.519 --> 00:17:06.819
market goes down. Precisely. You can't unbuild

00:17:06.819 --> 00:17:09.539
a house to reduce supply. You can't just delete

00:17:09.539 --> 00:17:11.880
it from the server like a failed crypto coin.

00:17:12.240 --> 00:17:14.920
So in a down market, you have all this inventory

00:17:14.920 --> 00:17:17.599
that won't go away. So prices can shoot up, but

00:17:17.599 --> 00:17:19.960
they can't fall as easily. Well, what it implies

00:17:19.960 --> 00:17:22.480
is that on the way down, the recovery is incredibly

00:17:22.480 --> 00:17:25.880
slow because that excess supply hangs over the

00:17:25.880 --> 00:17:28.140
market like a dark cloud for years. That explains

00:17:28.140 --> 00:17:30.599
why the bust feels so heavy and just drags on

00:17:30.599 --> 00:17:32.259
and on. The houses are just sitting there waiting

00:17:32.259 --> 00:17:34.240
for buyers who don't exist. And builders stop

00:17:34.240 --> 00:17:36.099
building completely because it costs more to

00:17:36.099 --> 00:17:38.920
build than to buy. So the market freezes. That

00:17:38.920 --> 00:17:41.759
is the kink in the supply curve. OK, that's a

00:17:41.759 --> 00:17:44.900
powerful concept. And the third method. for finding

00:17:44.900 --> 00:17:47.960
that equilibrium price the affordability method

00:17:47.960 --> 00:17:50.779
this is the one most listeners probably use intuitively

00:17:50.779 --> 00:17:52.900
when they're looking at zillow at midnight you

00:17:52.900 --> 00:17:55.220
compare prices to income the price to income

00:17:55.220 --> 00:17:58.940
ratio right or price to wage the logic is undeniable

00:17:59.369 --> 00:18:01.690
Ultimately, housing must be paid for by wages.

00:18:01.910 --> 00:18:04.650
If prices get too high relative to what people

00:18:04.650 --> 00:18:07.490
earn, they simply cannot consume the same level

00:18:07.490 --> 00:18:09.930
of housing services. You hit a mathematical wall.

00:18:10.089 --> 00:18:12.470
You hit a mathematical wall where people literally

00:18:12.470 --> 00:18:15.269
cannot get a loan to pay the mortgage. So if

00:18:15.269 --> 00:18:18.130
the average person in a city makes $50 ,000 and

00:18:18.130 --> 00:18:20.930
the average house is $2 million, something has

00:18:20.930 --> 00:18:23.069
to break. It doesn't matter how much hype there

00:18:23.069 --> 00:18:26.359
is. The math just doesn't work. Exactly. That

00:18:26.359 --> 00:18:28.779
is a clear sign of deviation from equilibrium.

00:18:29.119 --> 00:18:31.319
When you need three generations of income to

00:18:31.319 --> 00:18:33.500
buy a one -bedroom apartment, you are very likely

00:18:33.500 --> 00:18:35.980
in a bubble. The fundamental utility of housing

00:18:35.980 --> 00:18:38.220
is clashing with the financialization of housing.

00:18:38.539 --> 00:18:41.099
Okay, so those are the mathematical ways to spot

00:18:41.099 --> 00:18:44.099
if prices are out of whack. But markets are made

00:18:44.099 --> 00:18:47.559
of people. And people are. Well, they're emotional.

00:18:47.700 --> 00:18:49.660
They're weird. They get FOMO. They get jealous.

00:18:49.799 --> 00:18:51.680
They make bad decisions because their brother

00:18:51.680 --> 00:18:53.569
-in -law did something. Which brings us to the

00:18:53.569 --> 00:18:56.210
entire behavioral side of things. It's arguably

00:18:56.210 --> 00:18:59.069
the more important part. Yes. Section three of

00:18:59.069 --> 00:19:02.630
our dive, the vibe check. We're looking at Robert

00:19:02.630 --> 00:19:06.390
Schiller's checklist from 2010. Schiller is famous

00:19:06.390 --> 00:19:10.250
for predicting the 2008 crash. He literally wrote

00:19:10.250 --> 00:19:13.369
the book Irrational Exuberance. He did. And he

00:19:13.369 --> 00:19:14.750
didn't just look at spreadsheets. He looked at

00:19:14.750 --> 00:19:16.569
people. He looked at the culture. He did. He

00:19:16.569 --> 00:19:19.309
identified the social contagion aspect of bubbles.

00:19:19.589 --> 00:19:22.369
He argues that a bubble is essentially a sociological

00:19:22.369 --> 00:19:25.690
phenomenon. It spreads like a virus. It's a narrative

00:19:25.690 --> 00:19:28.190
that takes hold of a society. So he has a checklist

00:19:28.190 --> 00:19:29.869
of seven signs. I want to walk through these

00:19:29.869 --> 00:19:31.470
and I want you to tell me why each one matters.

00:19:32.009 --> 00:19:34.910
Sign number one. Sharp increases in the price.

00:19:35.390 --> 00:19:38.009
This is the catalyst. The chart goes vertical.

00:19:38.269 --> 00:19:40.769
It creates the momentum that draws people in.

00:19:40.849 --> 00:19:42.789
You see the movement and it catches your eye.

00:19:42.930 --> 00:19:45.549
It's the initial spark that gets the fire going.

00:19:45.789 --> 00:19:48.549
OK, that makes sense. Sign number two. Great

00:19:48.549 --> 00:19:51.150
public excitement. This is when housing stops

00:19:51.150 --> 00:19:53.809
being a utility, a place to sleep and eat, and

00:19:53.809 --> 00:19:56.710
becomes the main topic of conversation. This

00:19:56.710 --> 00:20:00.170
is the cocktail party indicator. Right. When

00:20:00.170 --> 00:20:03.230
everyone, regardless of their job teachers, mechanics,

00:20:03.609 --> 00:20:05.349
doctors, people who have... never looked at a

00:20:05.349 --> 00:20:07.730
financial statement in their lives, is talking

00:20:07.730 --> 00:20:10.529
about real estate prices at a barbecue. Oh, I've

00:20:10.529 --> 00:20:12.809
been to those parties. Oh, did you see what the

00:20:12.809 --> 00:20:14.890
house down the street went for? Exactly. When

00:20:14.890 --> 00:20:17.609
the conversation shifts from how are the kids

00:20:17.609 --> 00:20:21.509
to what's your zestimate? Huh. Schiller says

00:20:21.509 --> 00:20:23.410
you should be watching out. Which leads right

00:20:23.410 --> 00:20:25.769
into number three on his list, an accompanying

00:20:25.769 --> 00:20:28.829
media frenzy. The news cycle feeds the beast.

00:20:29.089 --> 00:20:31.490
It creates a feedback loop. You see headlines

00:20:31.490 --> 00:20:34.450
about record prices every day. You see TV shows

00:20:34.450 --> 00:20:37.130
about house flipping proliferating. You see magazine

00:20:37.130 --> 00:20:39.170
covers about how to get rich in real estate.

00:20:39.250 --> 00:20:42.089
It normalizes it. It amplifies the signal and

00:20:42.089 --> 00:20:44.390
validates the obsession. It makes it feel like

00:20:44.390 --> 00:20:46.869
the whole world is participating. And you're

00:20:46.869 --> 00:20:49.390
missing out if you're not. Okay, number four

00:20:49.390 --> 00:20:52.210
is really interesting. Stories of people earning

00:20:52.210 --> 00:20:55.470
a lot of money causing envy. The envy factor

00:20:55.470 --> 00:20:58.539
is so powerful. Schiller specifically points

00:20:58.539 --> 00:21:02.400
this out. We are competitive creatures. When

00:21:02.400 --> 00:21:05.079
you see your neighbor, who you know isn't smarter

00:21:05.079 --> 00:21:07.819
or harder working than you, make $100 ,000 in

00:21:07.819 --> 00:21:09.460
a year just by sitting in their living room because

00:21:09.460 --> 00:21:11.440
their house appreciated. It drives you crazy.

00:21:11.640 --> 00:21:13.960
It triggers a psychological need to participate.

00:21:14.339 --> 00:21:16.619
You feel like a sucker for working a 9 -to -5

00:21:16.619 --> 00:21:18.700
job while they get rich doing nothing. You feel

00:21:18.700 --> 00:21:21.279
like you're losing by not playing the game. Precisely.

00:21:21.690 --> 00:21:23.730
It challenges your sense of fairness. And the

00:21:23.730 --> 00:21:25.710
only way to resolve that internal conflict is

00:21:25.710 --> 00:21:28.609
to jump in and get your slice of the pie. FOMO

00:21:28.609 --> 00:21:31.930
weaponized. Okay. Number five, growing interest

00:21:31.930 --> 00:21:34.210
in the asset class among the general public.

00:21:34.470 --> 00:21:36.470
This is when you see people who have no business

00:21:36.470 --> 00:21:39.069
being real estate investors becoming real estate

00:21:39.069 --> 00:21:42.809
investors. The classic dentist buying five condos

00:21:42.809 --> 00:21:45.650
in Miami scenario. When amateurs flood the market,

00:21:45.789 --> 00:21:48.549
it's usually a sign the top is near. Why is that?

00:21:49.069 --> 00:21:50.910
Because they are the greater fools we talked

00:21:50.910 --> 00:21:53.289
about. They're entering the market late, driven

00:21:53.289 --> 00:21:56.970
by the envy and the media hype, not by any sound

00:21:56.970 --> 00:22:00.069
financial analysis. Okay, number six is my favorite

00:22:00.069 --> 00:22:03.869
because it sounds so dangerous. New era. This

00:22:03.869 --> 00:22:06.109
is the most dangerous one of all. This is the

00:22:06.109 --> 00:22:09.029
intellectual justification for the madness. It's

00:22:09.029 --> 00:22:11.789
when people start inventing reasons why this

00:22:11.789 --> 00:22:14.029
time is different. The old rules don't apply

00:22:14.029 --> 00:22:16.809
anymore. Exactly. They'll say prices will never

00:22:16.809 --> 00:22:19.490
go down because land is scarce or because of

00:22:19.490 --> 00:22:21.910
the new tech economy or because demographics

00:22:21.910 --> 00:22:24.670
have changed forever. They invent a narrative

00:22:24.670 --> 00:22:27.549
to explain why price to rent ratios don't matter

00:22:27.549 --> 00:22:30.680
anymore. It's the denial of gravity. It's people

00:22:30.680 --> 00:22:32.799
convincing themselves that the laws of economics

00:22:32.799 --> 00:22:35.759
have been repealed just for them, just this once.

00:22:35.960 --> 00:22:38.180
It is the rationalization of the irrational.

00:22:38.660 --> 00:22:42.460
It soothes the anxiety of paying an insane price.

00:22:42.579 --> 00:22:45.099
You tell yourself, it's OK, I'm overpaying because

00:22:45.099 --> 00:22:48.079
we are in a new era. And finally, number seven

00:22:48.079 --> 00:22:51.779
on Schiller's list, a decline in lending standards.

00:22:52.099 --> 00:22:55.460
This is the fuel on the fire. When the banks

00:22:55.460 --> 00:22:57.920
start giving money to anyone with a pulse because

00:22:57.920 --> 00:23:00.400
they, too, believe the collateral, the house

00:23:00.400 --> 00:23:02.779
will never lose value. It becomes suspiciously

00:23:02.779 --> 00:23:05.460
easy to get a loan. Suspiciously easy. No income

00:23:05.460 --> 00:23:08.220
verification. No problem. No down payment. Sure.

00:23:08.380 --> 00:23:10.480
That's the financial system pouring gasoline

00:23:10.480 --> 00:23:13.400
on an already raging fire. So Schiller's List

00:23:13.400 --> 00:23:16.500
is basically a guide to spotting social hysteria.

00:23:16.559 --> 00:23:18.839
It is. It's about spotting when a market has

00:23:18.839 --> 00:23:21.099
detached from reality and is running on pure

00:23:21.099 --> 00:23:23.480
emotion and cheap credit. It's a qualitative

00:23:23.480 --> 00:23:25.839
assessment of the market's sanity. Now, for the

00:23:25.839 --> 00:23:27.519
listener who really wants to look under the hood,

00:23:27.599 --> 00:23:29.880
the one who isn't satisfied with just the vibe

00:23:29.880 --> 00:23:32.400
or the general map, we have another layer. Yes.

00:23:32.559 --> 00:23:34.920
This comes from Lind, the same guy who gave us

00:23:34.920 --> 00:23:37.579
the anti -stiglitz definition. He outlined some

00:23:37.579 --> 00:23:39.559
deep dive indicators that are much more technical.

00:23:39.839 --> 00:23:41.539
These are excellent because they cut through

00:23:41.539 --> 00:23:43.599
the noise. They break down into four specific

00:23:43.599 --> 00:23:46.259
groups of warning signs. If Schiller measures

00:23:46.259 --> 00:23:49.440
the emotion, Lind measures the structural fragility

00:23:49.440 --> 00:23:53.130
of the market. Let's hit group one. Interest

00:23:53.130 --> 00:23:55.289
payments and income. What are we looking for

00:23:55.289 --> 00:23:58.250
here? So we're looking at whether interest payments

00:23:58.250 --> 00:24:00.890
are eating up a larger and larger percentage

00:24:00.890 --> 00:24:04.109
of household income. But there is a crucial check

00:24:04.109 --> 00:24:07.089
here that I absolutely love. What's that? Lynn

00:24:07.089 --> 00:24:10.089
suggests asking this question. What payments

00:24:10.089 --> 00:24:12.430
be increasing if we applied historical interest

00:24:12.430 --> 00:24:15.549
rates to today's prices? Oh, that's smart. So

00:24:15.549 --> 00:24:19.170
it's the stress test. It spots if. Artificially

00:24:19.170 --> 00:24:21.250
low interest rates are masking the affordability

00:24:21.250 --> 00:24:24.009
problem. Exactly. Let's say interest rates today

00:24:24.009 --> 00:24:27.049
are 2%. So the monthly payment on an $800 ,000

00:24:27.049 --> 00:24:29.190
house looks affordable. You think, I can afford

00:24:29.190 --> 00:24:32.630
this. But historical rates are closer to, say,

00:24:32.849 --> 00:24:36.650
6%. If you apply that 6 % rate to the current

00:24:36.650 --> 00:24:39.089
home prices and the payment suddenly becomes

00:24:39.089 --> 00:24:41.809
impossible, you are in a danger zone. Because

00:24:41.809 --> 00:24:44.799
rates won't stay at 2 % forever. Right. It's

00:24:44.799 --> 00:24:47.440
a stress test for the entire market. If the market

00:24:47.440 --> 00:24:49.619
only functions at emergency low interest rates,

00:24:49.720 --> 00:24:52.559
it's not a healthy market. It's a bubble on life

00:24:52.559 --> 00:24:54.579
support waiting for the Fed to pull the plug.

00:24:54.700 --> 00:24:57.420
Okay, that's a great tool. Group two is buyer

00:24:57.420 --> 00:25:00.299
expectations and risk. This goes back to the

00:25:00.299 --> 00:25:03.700
psychology. Do buyers expect prices to rise forever?

00:25:04.180 --> 00:25:07.339
Do they view housing as risk -free over a short

00:25:07.339 --> 00:25:10.519
horizon, like three to five years? But Lind also

00:25:10.519 --> 00:25:13.460
looks for a specific behavior he calls impatience.

00:25:14.000 --> 00:25:16.200
Impatience, like people are rushing to close

00:25:16.200 --> 00:25:19.039
deals. Yes, but also financial impatience. Are

00:25:19.039 --> 00:25:21.200
people buying at a younger age than they usually

00:25:21.200 --> 00:25:23.460
do? Are they buying more house than they actually

00:25:23.460 --> 00:25:25.819
need, stretching their budgets to the absolute

00:25:25.819 --> 00:25:28.220
limit? Okay. And crucially, are they amortizing

00:25:28.220 --> 00:25:30.819
less? Meaning, are they paying off the principle

00:25:30.819 --> 00:25:32.660
of the loan or are they just paying the interest?

00:25:32.960 --> 00:25:35.599
Correct. If you see a rise in buyers switching

00:25:35.599 --> 00:25:38.220
to interest -only loans or 40 -year mortgages

00:25:38.220 --> 00:25:40.759
just to make the monthly payment fit. That is

00:25:40.759 --> 00:25:43.180
a massive red flag. Why is it such a red flag?

00:25:43.400 --> 00:25:45.319
It means they aren't buying the house to pay

00:25:45.319 --> 00:25:47.500
it off and own it free and clear someday. They

00:25:47.500 --> 00:25:50.440
are essentially renting money from the bank to

00:25:50.440 --> 00:25:53.299
hold the asset while it appreciates. They are

00:25:53.299 --> 00:25:56.619
betting entirely on capital gains, not on building

00:25:56.619 --> 00:25:59.420
equity through payments. That is risky business.

00:25:59.880 --> 00:26:02.339
You're betting the farm that the value goes up

00:26:02.339 --> 00:26:04.980
before that loan comes due or the rate adjusts.

00:26:05.019 --> 00:26:08.160
It's the definition of speculation. OK, group

00:26:08.160 --> 00:26:11.579
three is bank behavior. This one is counterintuitive.

00:26:12.079 --> 00:26:14.440
Normally, when prices are high, you'd think banks

00:26:14.440 --> 00:26:17.519
would be more cautious, right? The asset is expensive,

00:26:17.680 --> 00:26:20.730
so it's risky. If a stock shoots up, a margin

00:26:20.730 --> 00:26:22.809
lender might get nervous and ask for more collateral.

00:26:23.109 --> 00:26:24.849
Right. You'd think they'd tighten up lending

00:26:24.849 --> 00:26:27.049
standards to protect themselves from a potential

00:26:27.049 --> 00:26:29.690
fall. But in a bubble, you see the exact opposite.

00:26:30.109 --> 00:26:33.089
Banks increase their loan -to -value, or LTV,

00:26:33.309 --> 00:26:36.650
ratios. They get more liberal as prices rise.

00:26:36.930 --> 00:26:38.569
They're willing to lend you more money against

00:26:38.569 --> 00:26:41.730
the same asset. Yes. They are chasing market

00:26:41.730 --> 00:26:43.930
share. They have the same FOMO as the buyers.

00:26:44.519 --> 00:26:47.480
If you see banks competing to give the most reckless

00:26:47.480 --> 00:26:50.220
loans during a boom, that is a classic, classic

00:26:50.220 --> 00:26:52.700
bubble sign. They're abandoning their own risk

00:26:52.700 --> 00:26:55.819
models. And group four is simple. Speculation.

00:26:55.880 --> 00:26:58.680
Simply put. Are buyers planning to sell quickly?

00:26:58.799 --> 00:27:02.059
The fix and flip mentality. Housing is naturally

00:27:02.059 --> 00:27:04.819
a long term asset. It has high transaction costs,

00:27:05.160 --> 00:27:07.839
realtor fees, taxes, closing costs. It's not

00:27:07.839 --> 00:27:10.440
meant to be day traded. Not at all. If a large

00:27:10.440 --> 00:27:12.240
share of the market is treating it like they're

00:27:12.240 --> 00:27:14.799
day trading stocks, the stability is gone. The

00:27:14.799 --> 00:27:17.440
market becomes a casino. The source also mentions

00:27:17.440 --> 00:27:19.359
a few other statistical indicators that I think

00:27:19.359 --> 00:27:22.700
are worth rapid firing through. First one. Vacancy

00:27:22.700 --> 00:27:25.480
rates. High prices plus high vacancy rates equals

00:27:25.480 --> 00:27:27.619
danger. This was the story in parts of Spain

00:27:27.619 --> 00:27:30.700
and more recently China. If prices are going

00:27:30.700 --> 00:27:32.640
up but nobody's actually living in the houses,

00:27:32.700 --> 00:27:35.420
it means supply exceeds real organic demand.

00:27:35.700 --> 00:27:38.339
You have purely speculative ghost towns. Next

00:27:38.339 --> 00:27:41.980
one. Demography. Is there actually a net inflow

00:27:41.980 --> 00:27:44.869
of people to the area? If a city's population

00:27:44.869 --> 00:27:47.170
is shrinking but its housing prices are doubling,

00:27:47.410 --> 00:27:49.910
the math doesn't work. Who is going to live in

00:27:49.910 --> 00:27:51.769
all these expensive homes? It seems like there

00:27:51.769 --> 00:27:53.569
are so many flashing red lights if you just know

00:27:53.569 --> 00:27:55.650
where to look. There are. The problem is when

00:27:55.650 --> 00:27:57.769
the party is going and the punch bowl is full,

00:27:57.970 --> 00:27:59.970
no one wants to look at the warning lights. We

00:27:59.970 --> 00:28:02.309
are all too busy dancing. Well, let's look at

00:28:02.309 --> 00:28:04.269
what happens when the music stops and the lights

00:28:04.269 --> 00:28:08.289
go out. We're moving into Section 5, historical

00:28:08.289 --> 00:28:12.329
case studies. Yes. The source material has this

00:28:12.329 --> 00:28:15.710
incredible table from Alston Raffingsolson covering

00:28:15.710 --> 00:28:20.049
OECD countries from 1970 to 2015. This is where

00:28:20.049 --> 00:28:22.170
the rubber meets the road. We can talk theory

00:28:22.170 --> 00:28:24.589
all day, but these are the actual scars on the

00:28:24.589 --> 00:28:26.569
economy. These are the large and small bubbles

00:28:26.569 --> 00:28:29.190
we defined earlier playing out in the real world.

00:28:29.329 --> 00:28:31.970
Let's talk about the big ones, the large bubbles.

00:28:32.349 --> 00:28:34.950
The champion, the undisputed heavyweight of the

00:28:34.950 --> 00:28:37.670
data set seems to be Ireland, peaking in 2007.

00:28:38.430 --> 00:28:41.869
Oh, Ireland is the textbook example of a massive

00:28:41.869 --> 00:28:45.369
boom and a truly devastating bust. It was the

00:28:45.369 --> 00:28:48.529
Celtic tiger economy. And just look at the numbers.

00:28:48.710 --> 00:28:53.789
The rise lasted 56 quarters. 56 quarters. That's

00:28:53.789 --> 00:28:57.250
14 years. 14 years of straight winning. An entire

00:28:57.250 --> 00:28:59.529
generation grew up thinking real estate only

00:28:59.529 --> 00:29:01.769
goes up. And how much did prices go up in that

00:29:01.769 --> 00:29:08.660
time? They... Increased by a staggering 235 .6%.

00:29:08.660 --> 00:29:13.480
Wait, say that again? 235%. That is insane. That's

00:29:13.480 --> 00:29:14.880
just, I can't even wrap my head around that.

00:29:15.000 --> 00:29:17.920
It is. Imagine buying a house for 100 ,000 euros

00:29:17.920 --> 00:29:21.019
and watching it go to 335 ,000 without doing

00:29:21.019 --> 00:29:23.099
a single thing. You feel like a genius. You feel

00:29:23.099 --> 00:29:26.420
invincible. But then, the fall. How bad was it?

00:29:26.519 --> 00:29:29.579
Prices collapsed by 53 .6%. They lost more than

00:29:29.579 --> 00:29:32.359
half their value. Yes. And you have to consider

00:29:32.359 --> 00:29:35.319
the leverage. If you bought near the top with

00:29:35.319 --> 00:29:37.859
10 % down payment and the value of your asset

00:29:37.859 --> 00:29:41.000
drops 50%, you are completely wiped out. You

00:29:41.000 --> 00:29:43.180
owe the bank vastly more than the house is worth.

00:29:43.259 --> 00:29:46.579
That's national insolvency. It was. It bankrupted

00:29:46.579 --> 00:29:48.900
the Irish banking system and required a massive

00:29:48.900 --> 00:29:51.539
international bailout. That is wealth destruction

00:29:51.539 --> 00:29:55.019
on a scale that just ruins a generation. What

00:29:55.019 --> 00:29:56.940
about Finland? I see they had a peak back in

00:29:56.940 --> 00:29:59.680
1989. Finland is interesting because it was almost

00:29:59.680 --> 00:30:03.480
perfectly symmetrical. Prices rose about 68 %

00:30:03.480 --> 00:30:07.019
over 15 quarters and then fell about 50 % over

00:30:07.019 --> 00:30:09.700
the next 26 quarters. It was a classic mountain

00:30:09.700 --> 00:30:12.940
shape, a quick up and a slightly slower, but

00:30:12.940 --> 00:30:15.880
just as brutal, down. It shows that what goes

00:30:15.880 --> 00:30:17.740
up doesn't just come down. Sometimes it comes

00:30:17.740 --> 00:30:20.019
down just as hard. And the Netherlands in the

00:30:20.019 --> 00:30:23.819
late 70s. A huge rise, almost 139 % increase.

00:30:24.670 --> 00:30:27.450
and then a 52 % fall. You start to see a pattern

00:30:27.450 --> 00:30:29.990
here. When these large bubbles pop, they tend

00:30:29.990 --> 00:30:32.670
to cut prices roughly in half. It's a reversion

00:30:32.670 --> 00:30:34.690
to the mean, but it's a violent one. We have

00:30:34.690 --> 00:30:37.769
to talk about the USA, the 2006 peak, the great

00:30:37.769 --> 00:30:40.890
financial crisis. Of course. The rise was 92

00:30:40.890 --> 00:30:44.690
.9 % over roughly a decade, from the mid -90s

00:30:44.690 --> 00:30:48.630
to 2006, and the fall was 39 .6%. You know, compared

00:30:48.630 --> 00:30:51.950
to Ireland's 53 % drop, the U .S. drop of around

00:30:51.950 --> 00:30:55.660
40 % sounds... Well, I won't say better, but

00:30:55.660 --> 00:30:58.200
less catastrophic on paper. Percentage wise,

00:30:58.319 --> 00:31:01.839
yes. But context is everything. Because the U

00:31:01.839 --> 00:31:04.319
.S. economy is the engine of the world and because

00:31:04.319 --> 00:31:07.079
that housing debt was packaged into these incredibly

00:31:07.079 --> 00:31:10.559
complex financial instruments, mortgage backed

00:31:10.559 --> 00:31:13.019
securities. The things from the big short. The

00:31:13.019 --> 00:31:14.819
very same. Yeah. And they were sold globally.

00:31:14.980 --> 00:31:17.700
So that 40 percent drop in U .S. housing prices

00:31:17.700 --> 00:31:20.119
triggered a global financial crisis that we're

00:31:20.119 --> 00:31:22.480
still feeling the effects of today. It shows

00:31:22.480 --> 00:31:24.920
that even a smaller crash in percentage terms

00:31:24.920 --> 00:31:27.819
can be systemic if the debt is toxic enough.

00:31:28.039 --> 00:31:29.880
Now let's look at the small bubbles category

00:31:29.880 --> 00:31:33.019
and specifically Japan. Japan is fascinating.

00:31:33.259 --> 00:31:35.079
Everyone talks about the Japanese asset bubble

00:31:35.079 --> 00:31:38.339
of the late 80s, and it was massive. But in terms

00:31:38.339 --> 00:31:40.640
of housing -specific data in this study, the

00:31:40.640 --> 00:31:43.880
rise was about 80 % into the 1990 peak. That

00:31:43.880 --> 00:31:46.759
qualifies as a bubble. But the fall is what stands

00:31:46.759 --> 00:31:49.960
out to me in the data, the duration. Yes. Look

00:31:49.960 --> 00:31:52.079
at the duration of the fall. It lasted 74 quarters.

00:31:52.180 --> 00:31:55.660
74 quarters. That's almost 19 years. 19 years

00:31:55.660 --> 00:31:59.150
of sliding prices. The aggregate drop was around

00:31:59.150 --> 00:32:02.690
50%, similar to what Finland experienced. But

00:32:02.690 --> 00:32:05.089
instead of a sudden crash over a few years, it

00:32:05.089 --> 00:32:08.349
was a slow, grinding bleed that lasted for two

00:32:08.349 --> 00:32:11.710
decades. That sounds almost worse. A sudden crash

00:32:11.710 --> 00:32:15.250
is painful. but a generational stagnation. It

00:32:15.250 --> 00:32:18.150
changes the psychology of a nation. If house

00:32:18.150 --> 00:32:21.349
prices fall for 20 consecutive years, nobody

00:32:21.349 --> 00:32:24.009
views housing as an investment anymore. It becomes

00:32:24.009 --> 00:32:26.829
a liability. It changes how people save, how

00:32:26.829 --> 00:32:29.670
they retire, how they view wealth for their entire

00:32:29.670 --> 00:32:31.569
lives. And then you have a country like Denmark.

00:32:32.190 --> 00:32:35.849
peaking in 2006. A massive rise there, 180%,

00:32:35.849 --> 00:32:39.069
but the fall was only about 28, 29%. So it didn't

00:32:39.069 --> 00:32:41.529
really correct. It didn't. Prices stayed elevated

00:32:41.529 --> 00:32:43.710
relative to where they started. That's an important

00:32:43.710 --> 00:32:46.529
nuance. Not every bubble bursts all the way back

00:32:46.529 --> 00:32:48.509
to zero. Sometimes it just corrects and then

00:32:48.509 --> 00:32:51.609
stabilizes at a new higher plateau. So buying

00:32:51.609 --> 00:32:53.470
in a bubble isn't guaranteed ruin, but it's a

00:32:53.470 --> 00:32:55.849
massive, massive gamble. One thing that was pointed

00:32:55.849 --> 00:32:58.430
out in the notes is the duration analysis. Yes.

00:32:59.420 --> 00:33:01.960
Generally speaking, the rise phase lasts longer

00:33:01.960 --> 00:33:04.859
than the fall phase. For the USA, the rise was

00:33:04.859 --> 00:33:08.630
38 quarters. The fall was 23. Bubbles take time

00:33:08.630 --> 00:33:11.130
to inflate. It takes years to build that confidence

00:33:11.130 --> 00:33:13.670
and supply that easy credit. But fear is fast.

00:33:13.910 --> 00:33:16.910
But fear, fear strikes quickly. When the sentiment

00:33:16.910 --> 00:33:19.930
turns, the elevator cable snaps. Escalator up,

00:33:19.970 --> 00:33:23.170
elevator down. In many cases, yes. Though as

00:33:23.170 --> 00:33:25.789
Japan shows us, the elevator can sometimes get

00:33:25.789 --> 00:33:28.990
stuck between floors and just slowly, painfully

00:33:28.990 --> 00:33:31.990
slide down for two decades. This brings us to

00:33:31.990 --> 00:33:34.690
section six. We need to put all of this in a

00:33:34.690 --> 00:33:36.809
broader perspective. Because when you're in a

00:33:36.809 --> 00:33:39.390
bubble, it feels unique. You think, we've invented

00:33:39.390 --> 00:33:41.369
a new economy, the internet changed everything.

00:33:41.849 --> 00:33:44.490
But history says otherwise. Bubbles are not new.

00:33:44.589 --> 00:33:46.829
They are not a modern invention. The Wikipedia

00:33:46.829 --> 00:33:49.509
source lists them going back centuries. This

00:33:49.509 --> 00:33:51.750
is a recurring feature of human economics. We

00:33:51.750 --> 00:33:53.849
love to get excited about things and bid them

00:33:53.849 --> 00:33:56.509
up to insane prices. I was surprised to see the

00:33:56.509 --> 00:33:59.569
1810s Alabama real estate bubble on the list.

00:34:00.009 --> 00:34:04.319
Slaps, yes. Alabama fever, they called it. It

00:34:04.319 --> 00:34:06.579
shows that as long as there has been land to

00:34:06.579 --> 00:34:09.119
speculate on, Americans have been speculating.

00:34:09.280 --> 00:34:11.579
What drove that one? It was driven by high cotton

00:34:11.579 --> 00:34:14.179
prices after the War of 1812. Everyone thought

00:34:14.179 --> 00:34:16.519
cotton would stay high forever, so the price

00:34:16.519 --> 00:34:19.059
of land you could grow cotton on skyrocketed.

00:34:19.059 --> 00:34:21.739
Then the price of cotton crashed in a panic and

00:34:21.739 --> 00:34:24.179
the land market collapsed. Same story, different

00:34:24.179 --> 00:34:27.460
century. And the 1830s Chicago bubble? That was

00:34:27.460 --> 00:34:29.780
driven by urbanization. Everyone was betting

00:34:29.780 --> 00:34:32.460
on the future of the city. as a major hub. People

00:34:32.460 --> 00:34:34.679
were buying lots in Chicago without ever having

00:34:34.679 --> 00:34:37.679
seen them, just based on a map. The 1920s Florida

00:34:37.679 --> 00:34:40.619
land boom. Oh, that's the classic. Selling swampland

00:34:40.619 --> 00:34:42.900
in Florida to people in New York who had never

00:34:42.900 --> 00:34:45.360
seen it, that was pure mania. Promoters were

00:34:45.360 --> 00:34:47.960
literally hiring buses to drive people down from

00:34:47.960 --> 00:34:49.940
the north to these lavish parties to sell them

00:34:49.940 --> 00:34:52.639
land. And then we see a shift in the 1990s and

00:34:52.639 --> 00:34:55.719
2000s to these global bubbles. It mentions the

00:34:55.719 --> 00:34:59.230
Baltic states, China, Romania, Poland. It went

00:34:59.230 --> 00:35:02.250
from being a localized phenomenon like Florida

00:35:02.250 --> 00:35:06.630
or Chicago to a globalized credit -fueled contagion.

00:35:06.929 --> 00:35:10.090
As finance became global, bubbles became global.

00:35:10.250 --> 00:35:12.389
The same cheap money could flow from New York

00:35:12.389 --> 00:35:15.090
to Dublin to Madrid in an instant. I want to

00:35:15.090 --> 00:35:17.409
touch on the comparison to non -housing bubbles,

00:35:17.570 --> 00:35:20.429
just for context. We've all heard of tulip mania

00:35:20.429 --> 00:35:23.210
in the 1630s or the dot -com bubble in the late

00:35:23.210 --> 00:35:27.269
90s. How is a housing bubble different? The key

00:35:27.269 --> 00:35:29.719
difference is utility. You cannot live inside

00:35:29.719 --> 00:35:32.400
a tulip bulb. True. You can't shelter your family

00:35:32.400 --> 00:35:35.300
in a website or a share of pets .com. Housing

00:35:35.300 --> 00:35:38.119
has immense undeniable utility. You need it to

00:35:38.119 --> 00:35:40.420
survive. Okay. And this makes housing bubbles

00:35:40.420 --> 00:35:43.460
stickier. People fight to keep their homes. They

00:35:43.460 --> 00:35:45.179
don't just sell them at a loss the way they dump

00:35:45.179 --> 00:35:47.860
a crashing stock. This is why that kink supply

00:35:47.860 --> 00:35:50.519
curve we talked about matters so much. The asset

00:35:50.519 --> 00:35:53.320
is essential and it's durable. That makes the

00:35:53.320 --> 00:35:55.760
pain of the crash much more visceral and long

00:35:55.760 --> 00:35:58.329
lasting for society. It's not just losing. points

00:35:58.329 --> 00:36:00.369
on a screen in your brokerage account it's losing

00:36:00.369 --> 00:36:03.050
your roof it rips entire communities apart exactly

00:36:03.050 --> 00:36:05.030
it has a human cost that's just on a different

00:36:05.030 --> 00:36:07.630
scale so we've covered the definitions the math

00:36:07.630 --> 00:36:10.710
the vibes and the history let's bring this all

00:36:10.710 --> 00:36:13.050
together into the outro and synthesize this for

00:36:13.050 --> 00:36:15.030
the listener let's do it if we have to summarize

00:36:15.030 --> 00:36:17.989
what we've learned a bubble is a specific economic

00:36:17.989 --> 00:36:21.230
event It's when prices decouple from the fundamentals,

00:36:21.469 --> 00:36:24.630
things like rents and incomes. And it is fueled

00:36:24.630 --> 00:36:27.590
by a toxic cocktail of cheap credit and human

00:36:27.590 --> 00:36:31.329
psychology. And the aha moment for me throughout

00:36:31.329 --> 00:36:34.510
all this research is always the new era theory.

00:36:34.789 --> 00:36:37.750
The single most dangerous indicator is the belief

00:36:37.750 --> 00:36:40.210
that the rules have changed. When you hear people

00:36:40.210 --> 00:36:43.889
saying prices only go up, that is the siren song

00:36:43.889 --> 00:36:46.369
of the bubble. It is. Gravity always wins in

00:36:46.369 --> 00:36:49.380
the end. So for the listener. The learner. What

00:36:49.380 --> 00:36:51.059
is the practical application here? You're thinking

00:36:51.059 --> 00:36:53.019
of buying a house or you own one and you're nervous.

00:36:53.219 --> 00:36:55.260
What should you do with this information? The

00:36:55.260 --> 00:36:57.800
main takeaway is don't just look at the price

00:36:57.800 --> 00:37:00.460
tag. Look at the context. Look at rents. That's

00:37:00.460 --> 00:37:02.980
the finance method. Is it significantly cheaper

00:37:02.980 --> 00:37:05.800
to rent the same house? If yes, be careful. That

00:37:05.800 --> 00:37:08.739
gap matters. And historically, it tends to close.

00:37:08.920 --> 00:37:10.719
And look at construction. Is there a massive

00:37:10.719 --> 00:37:13.559
supply of new homes coming online? Are there

00:37:13.559 --> 00:37:16.519
cranes everywhere in your city? Remember the

00:37:16.519 --> 00:37:20.599
supply curve. If supply floods the market, prices

00:37:20.599 --> 00:37:23.599
will soften. Look at your neighbors. Yes. Use

00:37:23.599 --> 00:37:25.920
Schiller's checklist. Are they buying out of

00:37:25.920 --> 00:37:29.039
envy? Is the dinner party chatter at a fever

00:37:29.039 --> 00:37:31.960
pitch? Are people panic buying houses they haven't

00:37:31.960 --> 00:37:34.219
even seen? And look at the bank. This might be

00:37:34.219 --> 00:37:36.840
the most important one. If the bank is offering

00:37:36.840 --> 00:37:39.679
you money too easily, be suspicious. If they

00:37:39.679 --> 00:37:42.780
are letting you borrow 100 % of the value or

00:37:42.780 --> 00:37:45.340
offering interest -only terms because they know

00:37:45.340 --> 00:37:48.369
you can't afford the real payment. Run. Don't

00:37:48.369 --> 00:37:50.929
walk. Run. They are setting you up to fail. It's

00:37:50.929 --> 00:37:53.010
about being a critical thinker in a market that

00:37:53.010 --> 00:37:55.989
can sometimes feel like it's full of sheep. Don't

00:37:55.989 --> 00:37:58.530
let the FOMO drive the bus. Precisely. Knowledge

00:37:58.530 --> 00:38:00.849
is your best defense against the hysteria. Do

00:38:00.849 --> 00:38:03.690
the math. Check the vibe. I want to leave everyone

00:38:03.690 --> 00:38:05.630
with a final provocative thought, something that

00:38:05.630 --> 00:38:08.090
jumped out at me from the source list. In the

00:38:08.090 --> 00:38:10.570
section on modern bubbles, it mentions cryptocurrency

00:38:10.570 --> 00:38:13.389
bubbles and AI bubbles. Yes, the information

00:38:13.389 --> 00:38:16.940
age section. If bubbles are driven by human psychology,

00:38:17.179 --> 00:38:19.760
this innate belief that we can get rich quick

00:38:19.760 --> 00:38:22.420
and that this time is different, have we actually

00:38:22.420 --> 00:38:24.480
learned anything from the housing crashes of

00:38:24.480 --> 00:38:27.920
the past? Or is the wealth effect, that feeling

00:38:27.920 --> 00:38:30.300
of getting rich for free, just too addictive

00:38:30.300 --> 00:38:33.199
to quit? Are we just moving the bubble from houses

00:38:33.199 --> 00:38:36.519
to coins to algorithms? That is the multi -trillion

00:38:36.519 --> 00:38:38.699
dollar question, isn't it? The asset changes,

00:38:38.840 --> 00:38:41.519
but human nature, that seems to stay exactly

00:38:41.519 --> 00:38:44.280
the same. We love the write -up far too much

00:38:44.280 --> 00:38:47.099
to worry about the inevitable fall. On that cheery

00:38:47.099 --> 00:38:48.840
note, thank you for diving deep with us. Go check

00:38:48.840 --> 00:38:50.960
your price to rent ratios, everyone. We'll catch

00:38:50.960 --> 00:38:52.159
you on the next one. Stay grounded.
