WEBVTT - Lab 039: Add to Cart

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<v Speaker 1>Well, today's a holiday that we don't really acknowledge. I'll

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<v Speaker 1>just say happy hang out with your family and friends day.

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<v Speaker 2>And tomorrow is the most American of holidays. This is

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<v Speaker 2>a celebration of consumerism, yes, aka Black Friday. But some

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<v Speaker 2>of y'all are going to be in for quite the surprise.

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<v Speaker 2>Do you know just how many packages are going to

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<v Speaker 2>be in the mix with everybody ordering stuff online?

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<v Speaker 1>I don't even want to try and conceptualize it because

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<v Speaker 1>I know that I can't because Black Friday, when we

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<v Speaker 1>were younger, it was just, you know, one day there

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<v Speaker 1>was all these sales.

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<v Speaker 3>Now it extends.

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<v Speaker 1>Where it's like you got Black Friday, but the Black

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<v Speaker 1>Friday deals start on Wednesday and Cyber Monday. There's Cyber Monday.

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<v Speaker 1>So it's really a full calendar week of hurry.

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<v Speaker 3>Up and buy all this stuff.

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<v Speaker 2>But the real gag is if you didn't place your

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<v Speaker 2>order in July, it won't be here by Christmas. We'll

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<v Speaker 2>tell you why.

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<v Speaker 1>The whole shipping from purchasing to getting the product at

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<v Speaker 1>your door is a very complex system that I feel.

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<v Speaker 3>Like none of us know much about.

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<v Speaker 2>I know, I don't understand how I'm placing an order

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<v Speaker 2>and it's here within sixteen hours.

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<v Speaker 1>Honestly, And I feel like as technology advances, and some

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<v Speaker 1>of this technology that we know nothing about advances, we're

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<v Speaker 1>expecting things to show up sooner and sooner and sooner.

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<v Speaker 1>But with every great thing, you know that there's some

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<v Speaker 1>not so great things happening behind the scenes.

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<v Speaker 2>Yes, the dark side of shipping.

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<v Speaker 1>Yes, I'm TT and I'm Zachiah and from Spotify. This

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<v Speaker 1>is Dope Labs. Welcome to Dope Labs, a weekly podcast

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<v Speaker 1>that mixes hardcore science, pop culture, and a healthy dose

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<v Speaker 1>of friendship.

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<v Speaker 2>This week, we're diving into the world of commerce, supply chains,

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<v Speaker 2>and transportation. Specifically, we want to know how a product

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<v Speaker 2>goes from click to ship, away from the factory and

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<v Speaker 2>to your front door.

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<v Speaker 1>All right, let's get into the recitation. What do we know, TT, Well,

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<v Speaker 1>we know that shipping is usually really really fast, and

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<v Speaker 1>there have been some shipping delays.

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<v Speaker 2>There's so many industries involved in getting products to your door, manufacturing, routing, weather, economics,

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<v Speaker 2>and today we're focusing on shipping more specifically, how issues

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<v Speaker 2>in the trucking industry are affecting shipping logistics and the

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<v Speaker 2>shipping delays don't make sense to me. It's specific things

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<v Speaker 2>missing from the grocery store. There's no bug spray like

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<v Speaker 2>the chemical killer bug spray, only essential old buck spray

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<v Speaker 2>at my grocery store.

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<v Speaker 3>That's not good enough for my friend. Let me tell you.

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<v Speaker 2>Lemon grass everywhere, okay, citronella everywhere.

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<v Speaker 1>Anybody's citronella. And I'm like, that does not work for me.

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<v Speaker 1>And the sindos will come. And what we also know

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<v Speaker 1>is that demand for delivery is increasing across the board,

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<v Speaker 1>like delivery of the past, where it's just like, oh,

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<v Speaker 1>you know, you might get a TV delivered, you might

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<v Speaker 1>get a computer delivered. Now we're like, okay, I need

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<v Speaker 1>my vitamins delivered, I need my groceries delivered. Everything is

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<v Speaker 1>being delivered at this point, and I feel like that

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<v Speaker 1>was enhanced because we were all working from home or

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<v Speaker 1>staying at home because of the pandemic.

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<v Speaker 2>Also, that demand for delivery and shipping things across this

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<v Speaker 2>country has been exacerbated by the trucker shortage. You know,

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<v Speaker 2>I saw some signs. I don't know if it was

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<v Speaker 2>a bad sheet or whatever. I was going down eighty

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<v Speaker 2>five and it said trucker strike and it had a date,

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<v Speaker 2>and I said I don't want to cross the line.

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<v Speaker 2>I don't even know what it means, because I mean,

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<v Speaker 2>I don't drive on the highway too with them. I mean,

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<v Speaker 2>I want to know what's going on. I've been seeing

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<v Speaker 2>this happen in the.

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<v Speaker 1>UK, but it's also happening here too, Right, we did

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<v Speaker 1>see that the UK was having petro shortages and other

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<v Speaker 1>things that. So there's something happening that we don't understand. Yes,

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<v Speaker 1>so what do we want to know considering all that stuff.

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<v Speaker 1>I know it's somehow tied together, but how what are

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<v Speaker 1>the specifics? And I want to understand the trucker shortage.

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<v Speaker 1>I didn't even know what was going on. My friend

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<v Speaker 1>should be hitting the road and so she told me

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<v Speaker 1>what she saw, and I had no idea what is

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<v Speaker 1>going on with this trucker shortage?

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<v Speaker 2>And then how does the gig economy play into this?

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<v Speaker 2>You know, now you can send a package across town

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<v Speaker 2>with Uber and also just the use of all these

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<v Speaker 2>like subcontracting services to get things from point A to

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<v Speaker 2>point B. How does that work into the big picture

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<v Speaker 2>of shipping?

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<v Speaker 1>Yeah, and then for me, I want to know what

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<v Speaker 1>we can do as consumers to like alleviate or to

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<v Speaker 1>get rid of some of the problems that are cropping

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<v Speaker 1>up because of this increased shipping world that we're in.

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<v Speaker 2>Let's jump into the dissection.

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<v Speaker 3>Dissect Sean dissect Sean. Our guest for today's lab is

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<v Speaker 3>Christopher Mems.

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<v Speaker 4>My name is Christopher Mems, and I am a technology

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<v Speaker 4>columnist at the Wall Street Journal.

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<v Speaker 2>Christopher is talking to us about his new book Arriving Today,

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<v Speaker 2>which is about how products get from the factory to

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<v Speaker 2>our front door. So first we wanted to know how

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<v Speaker 2>and where things are produced before they're sold. We know

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<v Speaker 2>that most things we buy today are not produced in

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<v Speaker 2>the US, and that's.

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<v Speaker 3>Because of globalization.

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<v Speaker 1>Globalization allows people to buy goods cheaply from all over

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<v Speaker 1>the world.

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<v Speaker 3>But how is this possible logistically?

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<v Speaker 2>According to Christopher, we can trace the history of globalization

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<v Speaker 2>back to the shipping container and the Vietnam War.

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<v Speaker 4>What happened during the Vietnam War was the American military

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<v Speaker 4>machine needed so much material that they needed a new

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<v Speaker 4>way to move goods into the country.

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<v Speaker 1>And this is where American businessman Malcolm MacLean steps in,

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<v Speaker 1>who since the nineteen fifties had been developing the world's

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<v Speaker 1>first modern shipping container.

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<v Speaker 2>And the shipping container is really critical. It's this intermodal

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<v Speaker 2>part of globalization that means it's going from a ship

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<v Speaker 2>to a truck to a train, and so those dimensions

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<v Speaker 2>have to be the same in every place, basically making

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<v Speaker 2>it universal.

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<v Speaker 4>The shipping contator was a classic chicken and egg problem

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<v Speaker 4>because you needed everybody to agree on the dimensions and

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<v Speaker 4>the specifications for a shipping container so that all the

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<v Speaker 4>ships could carry all the shipping containers, and also the

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<v Speaker 4>trains could accommodate them and trucks.

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<v Speaker 3>So how big are these shipping containers?

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<v Speaker 2>Well, ISO, which is the International Organization for Standardization, has

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<v Speaker 2>determined that a standard container is eight feet wide about

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<v Speaker 2>eight and a half feet high, and then they can

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<v Speaker 2>either be twenty feet long or forty feet long. So

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<v Speaker 2>big big, And so when you think about that, I

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<v Speaker 2>don't know about you, but once we started moving into

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<v Speaker 2>cubic feet, I'm out of there.

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<v Speaker 3>Right.

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<v Speaker 1>I had you at eight feet wide, Okay, I had

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<v Speaker 1>you at eight feet tall, but then twenty feet I

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<v Speaker 1>was like a right.

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<v Speaker 2>So if you think about a twenty foot container, m hmm,

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<v Speaker 2>that's enough room for almost one hundred washing machines or so,

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<v Speaker 2>and some of these containers can be refrigerated or insulated.

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<v Speaker 2>Some of them have an open top. You ever see

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<v Speaker 2>those trains that have the shipping containers on them and

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<v Speaker 2>you can see the stuff on the top.

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<v Speaker 3>Mm hmm.

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<v Speaker 2>Isn't that stuff gonna blow out? Don't they need to

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<v Speaker 2>cover over there?

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<v Speaker 3>I guess they've thought about what to do.

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<v Speaker 4>And so the American military saw this idea and said,

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<v Speaker 4>all right, we're gonna break the log jam. Malcolm McLean,

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<v Speaker 4>we like your idea, we like your specifications, and they

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<v Speaker 4>created such a large demand on their own.

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<v Speaker 1>The demand for shipping containers was so high from the

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<v Speaker 1>Department of Defense that Malcolm McLean's design became the international standard.

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<v Speaker 4>And very soon after you had bigger and bigger ships

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<v Speaker 4>to carry all of these shipping containers, and that meant

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<v Speaker 4>bigger cranes and ports to accommodate them. And it was

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<v Speaker 4>just billions and billions of dollars of investment, and that

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<v Speaker 4>created the global infrastructure which allowed globalization to happen and

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<v Speaker 4>is the reason that we can buy goods from everywhere.

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<v Speaker 2>So basically, the shipping container was a game changer.

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<v Speaker 1>Once the shipping container arrived, this basically made it so

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<v Speaker 1>that the idea of really having a global economy was

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<v Speaker 1>right in front of us, like it became possible, and

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<v Speaker 1>there was a need for a whole new level of

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<v Speaker 1>worker productivity. And that's when we get into scientific management.

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<v Speaker 2>So what is scientific management?

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<v Speaker 4>Any place you have software or an algorithm that can

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<v Speaker 4>watch how people work and then dictate to them the

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<v Speaker 4>pace and the manner of that work. That's scientific management,

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<v Speaker 4>even though we don't call it by that name.

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<v Speaker 1>The concept of scientific management was invented by Frederick Taylor,

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<v Speaker 1>and he published a book that was titled The Principles

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<v Speaker 1>of Scientific Management in nineteen oh nine. And it was

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<v Speaker 1>around this time that Henry Ford, you know like the car,

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<v Speaker 1>invented the assembly line, which reduced the time it took

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<v Speaker 1>to build an automobile from twelve hours to one hour

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<v Speaker 1>and thirty three minutes.

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<v Speaker 2>That's crazy gains.

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<v Speaker 4>It was just this notion that if you could measure

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<v Speaker 4>the amount of time that it took for a worker

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<v Speaker 4>to complete every single action, if they were working in

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<v Speaker 4>a factory, which remember we're still kind of new at

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<v Speaker 4>the time, or if they were working on an assembly line,

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<v Speaker 4>which at the time was brand new, then you could

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<v Speaker 4>use these techniques to manage people scientifically and speed up work.

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<v Speaker 2>So in order to employ scientific management, you really need

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<v Speaker 2>some method of surveillance or tracking. And before the age

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<v Speaker 2>of digital surveillance, there were stop watches.

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<v Speaker 1>So what Frederick Taylor was doing was that he would

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<v Speaker 1>go into a factory, you say, who's the best worker here,

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<v Speaker 1>and they would point to that person, and then he

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<v Speaker 1>would say, work as hard as you can, and I'm

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<v Speaker 1>going to time you using this stopwatch. And then he

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<v Speaker 1>was able to determine the productivity of the most productive person,

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<v Speaker 1>and based off of that information, they were able to

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<v Speaker 1>simplify and optimize jobs so that workers could be as

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<v Speaker 1>productive as possible.

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<v Speaker 2>This doesn't really sound like a fulfilling or satisfying work environment.

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<v Speaker 3>Now, this sounds awful.

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<v Speaker 4>It ended up being this way that workers were pushed

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<v Speaker 4>to their limits and beyond. Of course, the irony is

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<v Speaker 4>that scientific management is how work, especially work in factories

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<v Speaker 4>and warehouses and ports many other places call centers fast food.

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<v Speaker 4>This is how all of work is organized.

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<v Speaker 3>That's so true.

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<v Speaker 1>I think a lot of us can think about our

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<v Speaker 1>jobs and listening to what scientific management is, see how

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<v Speaker 1>some of those things are in all of our workspaces,

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<v Speaker 1>and scientific management isn't only happening in the workplace now.

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<v Speaker 1>There's a lot of tools that can be used to

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<v Speaker 1>monitor employees' productivity when they're working from home, which a

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<v Speaker 1>lot of us are right now.

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<v Speaker 4>With the advent of remote work, more and more companies

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<v Speaker 4>are surveilling their employees when they're working at home right

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<v Speaker 4>because they don't have FaceTime. You know, managers can't manage

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<v Speaker 4>by walking around anymore. Companies will give you a company

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<v Speaker 4>issue laptop or mobile device, and then they're watching the

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<v Speaker 4>hours that you're actually doing your work.

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<v Speaker 2>This reminds me of that TikTok where the girl has

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<v Speaker 2>a fan and it's like an oscillating fan and it's

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<v Speaker 2>to something and it's moving the mouse around, so it

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<v Speaker 2>seems like she's working genius.

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<v Speaker 3>Genius. She was like, scientific management, I'll.

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<v Speaker 2>Do I'll manage you. But you know what's also really interesting,

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<v Speaker 2>it's not always the manager imposing this type of system

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<v Speaker 2>on the workers. Sometimes workers elect to use different productivity

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<v Speaker 2>tools to help improve their own output and their own focus.

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<v Speaker 2>I know, I do, so do I I use one note,

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<v Speaker 2>we use airtable slack.

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<v Speaker 3>Lots of folks are using slack.

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<v Speaker 1>All types of stuff I used to use ASNA to

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<v Speaker 1>improve our productivity or make us more efficient, work faster,

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<v Speaker 1>get more done in a shorter amount of time. So

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<v Speaker 1>we are enforcing these scientific management concepts on ourselves.

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<v Speaker 2>Staff punking ourselves right on into the nine to five.

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<v Speaker 2>So these tools can be good. You know, we use

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<v Speaker 2>airtable that helps us stay on track with our episodes,

0:11:53.040 --> 0:11:56.560
<v Speaker 2>know what's happening. It also can help us move projects forward.

0:11:56.800 --> 0:11:58.959
<v Speaker 2>We can collaborate better with our team.

0:11:59.120 --> 0:12:01.840
<v Speaker 1>But that said, all of that can be a slippery

0:12:01.880 --> 0:12:04.120
<v Speaker 1>slope and we're going to get into that right after

0:12:04.160 --> 0:12:07.160
<v Speaker 1>the break.

0:12:23.400 --> 0:12:24.280
<v Speaker 2>All right, we're back.

0:12:24.520 --> 0:12:27.400
<v Speaker 1>Yes, And as we're talking about all of the shipping

0:12:27.559 --> 0:12:30.280
<v Speaker 1>and everything like that, it really makes me think about

0:12:30.440 --> 0:12:32.319
<v Speaker 1>how we're going to be purchasing. Everybody's going to be

0:12:32.360 --> 0:12:35.400
<v Speaker 1>online shopping from their phones mostly. I think I think

0:12:35.400 --> 0:12:37.280
<v Speaker 1>everybody shops on their phones these days.

0:12:37.040 --> 0:12:39.360
<v Speaker 2>And watching the notifications from my banking.

0:12:39.080 --> 0:12:41.760
<v Speaker 3>Gap saying girl, what is you doing?

0:12:42.000 --> 0:12:43.079
<v Speaker 2>Dot do transaction.

0:12:44.480 --> 0:12:47.280
<v Speaker 1>But there's so many apps out there, and our next

0:12:47.360 --> 0:12:50.679
<v Speaker 1>lab is going to be all about fintech. So these

0:12:50.720 --> 0:12:53.960
<v Speaker 1>are apps that help you organize your finances and get

0:12:54.000 --> 0:12:55.000
<v Speaker 1>financially healthy.

0:12:55.280 --> 0:12:57.960
<v Speaker 2>Yes, and I'm excited about it because our guest is

0:12:58.040 --> 0:13:01.200
<v Speaker 2>Natalia Razinski, the head of strategy at Klarna. Oh yes,

0:13:01.240 --> 0:13:04.160
<v Speaker 2>this is the perfect person to talk to about helping us.

0:13:05.160 --> 0:13:07.560
<v Speaker 2>All right, let's get back to today's lab. We're talking

0:13:07.559 --> 0:13:10.600
<v Speaker 2>to Wall Street Journal reporter Christopher Mims about his new book,

0:13:10.840 --> 0:13:11.640
<v Speaker 2>arriving today.

0:13:11.760 --> 0:13:14.080
<v Speaker 1>In the first half of the dissection, we focus mostly

0:13:14.120 --> 0:13:17.000
<v Speaker 1>on how goods and products are being made using tools

0:13:17.040 --> 0:13:20.920
<v Speaker 1>like scientific management to produce things efficiently for the global market.

0:13:20.960 --> 0:13:24.480
<v Speaker 2>But Christopher's book also focuses on the transport of those items.

0:13:24.720 --> 0:13:27.439
<v Speaker 2>And before you even click add tokar, that product has

0:13:27.520 --> 0:13:30.520
<v Speaker 2>already been on a very long journey, a journey that

0:13:30.600 --> 0:13:31.840
<v Speaker 2>starts at the factory.

0:13:32.240 --> 0:13:34.840
<v Speaker 4>Generally, the way a lot of finished goods, and especially

0:13:34.880 --> 0:13:37.600
<v Speaker 4>consumer electronics get to us is you know, they are

0:13:37.679 --> 0:13:40.960
<v Speaker 4>first made increasingly in Southeast Asia. A lot of things

0:13:40.960 --> 0:13:44.400
<v Speaker 4>we think are made in China are actually made Thailand, Vietnam, Malaysia,

0:13:44.520 --> 0:13:45.240
<v Speaker 4>places like that.

0:13:45.400 --> 0:13:47.439
<v Speaker 1>From the factory, it goes to a small port, put

0:13:47.520 --> 0:13:48.520
<v Speaker 1>into a shipping container.

0:13:48.600 --> 0:13:49.760
<v Speaker 2>Shout out to Malcolm maclain.

0:13:49.920 --> 0:13:52.520
<v Speaker 1>Then the shipping container gets put onto a barge where

0:13:52.520 --> 0:13:54.280
<v Speaker 1>it gets taken to a much larger.

0:13:54.000 --> 0:13:57.000
<v Speaker 4>Port where it stays for a couple of days after

0:13:57.080 --> 0:13:59.560
<v Speaker 4>being lifted off by a giant crane. Then that big

0:13:59.600 --> 0:14:02.000
<v Speaker 4>crane puts it onto a really big ship.

0:14:01.880 --> 0:14:04.560
<v Speaker 2>And we mean big. Some of these cargo ships are

0:14:04.600 --> 0:14:07.160
<v Speaker 2>as big as the Empire State Building being laid on

0:14:07.200 --> 0:14:10.199
<v Speaker 2>its side. We're talking the length of three football fields.

0:14:10.360 --> 0:14:12.280
<v Speaker 2>This is not the boat that Megan thee Stallion was

0:14:12.320 --> 0:14:13.200
<v Speaker 2>talking about driving.

0:14:14.400 --> 0:14:15.640
<v Speaker 3>You can't drive that vote.

0:14:15.840 --> 0:14:16.000
<v Speaker 2>No.

0:14:16.520 --> 0:14:20.400
<v Speaker 1>Each container ship can hold up to ten thousand forty

0:14:20.560 --> 0:14:24.960
<v Speaker 1>foot containers or about sixty thousand pounds of goods, and

0:14:25.000 --> 0:14:25.200
<v Speaker 1>then it.

0:14:25.240 --> 0:14:27.240
<v Speaker 4>Can travel all the way across the Pacific Ocean, and

0:14:27.280 --> 0:14:29.760
<v Speaker 4>that's going to take weeks because it's actually moving kind

0:14:29.760 --> 0:14:31.600
<v Speaker 4>of slow in order to save on fuel.

0:14:31.720 --> 0:14:34.840
<v Speaker 2>Finally, the ship arrives Stateside, most often at the ports

0:14:34.880 --> 0:14:37.800
<v Speaker 2>of la and Long Beach, and that's where about forty

0:14:37.880 --> 0:14:40.680
<v Speaker 2>to fifty percent of all goods from Asia arrive in

0:14:40.720 --> 0:14:41.200
<v Speaker 2>the US.

0:14:41.400 --> 0:14:44.320
<v Speaker 4>Then those containers get put onto a truck for the

0:14:44.360 --> 0:14:47.160
<v Speaker 4>first time, and that's called drayage, and the container gets

0:14:47.200 --> 0:14:49.560
<v Speaker 4>taken to a warehouse in the Inland Empire.

0:14:49.320 --> 0:14:51.040
<v Speaker 2>That's a region in southern California.

0:14:51.080 --> 0:14:52.880
<v Speaker 4>All the goods are emptied out of the container put

0:14:52.880 --> 0:14:55.360
<v Speaker 4>onto a long haul truck. It might drive halfway across

0:14:55.360 --> 0:14:57.960
<v Speaker 4>the country. Then all of those cardboard boxes full of

0:14:57.960 --> 0:15:00.640
<v Speaker 4>goods go into what's known as a fulfillment if you're

0:15:00.640 --> 0:15:03.040
<v Speaker 4>talking about Amazon, and human beings have to open up

0:15:03.040 --> 0:15:05.280
<v Speaker 4>every single one of those boxes, take every item out,

0:15:05.360 --> 0:15:07.680
<v Speaker 4>scan it, put it into a bin. The bin goes

0:15:07.720 --> 0:15:10.360
<v Speaker 4>onto a conveyor, which goes to another human being which

0:15:10.400 --> 0:15:13.720
<v Speaker 4>takes all the goods stows it on a robot shelf,

0:15:13.920 --> 0:15:16.040
<v Speaker 4>which then scoots away like R two D two.

0:15:16.320 --> 0:15:20.080
<v Speaker 1>Oh my goodness, this is a lot. I am exhausted.

0:15:20.160 --> 0:15:20.920
<v Speaker 1>And that's just.

0:15:20.960 --> 0:15:23.880
<v Speaker 3>The first part of the product's journey.

0:15:23.960 --> 0:15:26.520
<v Speaker 1>Okay, So now that the item is on the shelf

0:15:26.600 --> 0:15:29.000
<v Speaker 1>waiting for someone to buy it, what happens next?

0:15:29.200 --> 0:15:31.840
<v Speaker 4>And then when you order that good which has been

0:15:31.880 --> 0:15:35.640
<v Speaker 4>on a fourteen thousand mile two month minimum journey, when

0:15:35.680 --> 0:15:39.000
<v Speaker 4>you order it for delivery the next day, within forty

0:15:39.000 --> 0:15:41.320
<v Speaker 4>five minutes, someone has picked that item off of the

0:15:41.400 --> 0:15:43.960
<v Speaker 4>robot's shelf, goes into a bin. The bin is carried

0:15:43.960 --> 0:15:46.520
<v Speaker 4>on a conveyor down to the pack station. A person

0:15:46.600 --> 0:15:48.760
<v Speaker 4>puts the items in a box, tapes up the box.

0:15:48.960 --> 0:15:51.720
<v Speaker 4>Box goes down another conveyor into the back of a truck,

0:15:51.720 --> 0:15:54.840
<v Speaker 4>which goes to another warehouse where it's sorted, and then

0:15:54.880 --> 0:15:58.360
<v Speaker 4>the final warehouse, which is called the delivery station, where

0:15:58.360 --> 0:16:00.600
<v Speaker 4>all the boxes get stacked up about like you know,

0:16:00.680 --> 0:16:03.760
<v Speaker 4>two three in the morning for delivery on a truck

0:16:03.800 --> 0:16:05.960
<v Speaker 4>to your home the next day, you know it's next

0:16:06.000 --> 0:16:07.120
<v Speaker 4>day or two day delivery.

0:16:07.360 --> 0:16:09.280
<v Speaker 2>Most people are not thinking about all of this when

0:16:09.320 --> 0:16:12.360
<v Speaker 2>they add to cart, especially with things like two day delivery,

0:16:12.600 --> 0:16:14.640
<v Speaker 2>one click ordering overnight shipping.

0:16:14.840 --> 0:16:18.760
<v Speaker 1>Yes, I am ordering my goods by the light of

0:16:18.800 --> 0:16:21.840
<v Speaker 1>the moon. Most likely I'm in my bed and I'm

0:16:21.920 --> 0:16:23.920
<v Speaker 1>just like click, everything just starts getting ship.

0:16:23.920 --> 0:16:25.760
<v Speaker 3>I don't even think about it. I just keep swiping.

0:16:25.960 --> 0:16:28.840
<v Speaker 2>This just also feels like so many steps for me

0:16:28.920 --> 0:16:31.640
<v Speaker 2>to get the few little things that I'm adding to cart.

0:16:31.680 --> 0:16:33.280
<v Speaker 2>This is kind of changing things for.

0:16:33.200 --> 0:16:36.600
<v Speaker 1>Me, honestly, because you think about every single step and

0:16:36.880 --> 0:16:41.600
<v Speaker 1>all the ships and shipping containers and cranes and people

0:16:41.920 --> 0:16:45.520
<v Speaker 1>and trucks. This is a lot for me to be saying, Okay,

0:16:45.520 --> 0:16:47.560
<v Speaker 1>I just need this new cell phone case that I

0:16:47.720 --> 0:16:50.600
<v Speaker 1>found on this website that's six ninety nine.

0:16:50.640 --> 0:16:52.880
<v Speaker 2>That's a lot exactly it. Every time I get ready

0:16:52.880 --> 0:16:54.880
<v Speaker 2>to order something online, now I'm gonna say, am I

0:16:54.920 --> 0:16:58.040
<v Speaker 2>ready to turn on the crane to pick up my items,

0:16:58.080 --> 0:17:00.080
<v Speaker 2>you know, like it might not be worth it.

0:17:00.080 --> 0:17:01.600
<v Speaker 3>It might not be worth the crane movement.

0:17:01.640 --> 0:17:03.920
<v Speaker 2>And there's all this automation, but then there's all this

0:17:04.160 --> 0:17:06.119
<v Speaker 2>on the ground stuff too, And one of them that

0:17:06.160 --> 0:17:08.080
<v Speaker 2>we really should zero in on is the truck.

0:17:15.560 --> 0:17:18.840
<v Speaker 1>Even though the trucker shortage has reached crisis levels this

0:17:19.000 --> 0:17:21.720
<v Speaker 1>year and been on the front page of Labor News,

0:17:21.840 --> 0:17:23.879
<v Speaker 1>the trucker shortage isn't really new.

0:17:24.080 --> 0:17:27.000
<v Speaker 2>Trucks are an essential part of the global economy. In

0:17:27.040 --> 0:17:30.399
<v Speaker 2>the United States, seventy percent of all freight is transported

0:17:30.400 --> 0:17:33.480
<v Speaker 2>by trucks. And it may feel like a cliche, but

0:17:33.640 --> 0:17:36.760
<v Speaker 2>America really does run on trucks, not duncan. Yeah you

0:17:36.800 --> 0:17:39.120
<v Speaker 2>thought it was duncan, but it's actually trucks. So when

0:17:39.119 --> 0:17:41.520
<v Speaker 2>we don't have enough people to drive those trucks, it

0:17:41.560 --> 0:17:43.920
<v Speaker 2>can cause some pretty big problems for the economy.

0:17:44.080 --> 0:17:48.280
<v Speaker 4>It's affecting everything from what appears on stores at the

0:17:48.280 --> 0:17:54.160
<v Speaker 4>grocery store, to getting school's school lunches, to people talking

0:17:54.160 --> 0:17:56.080
<v Speaker 4>about why they can't get their couch delivered.

0:17:56.400 --> 0:18:00.720
<v Speaker 1>And with so many items being shipped to people and

0:18:01.119 --> 0:18:04.679
<v Speaker 1>they're being a trucker shortage that can lead to trucker

0:18:04.800 --> 0:18:07.959
<v Speaker 1>burnout for the truckers that are now left to carry

0:18:07.960 --> 0:18:11.760
<v Speaker 1>the load. We wanted to know what's really driving this shortage.

0:18:11.800 --> 0:18:14.720
<v Speaker 1>Why don't we have enough truckers to handle the shipping demand.

0:18:14.960 --> 0:18:17.960
<v Speaker 4>There was this amazing piece in the New York Times

0:18:18.040 --> 0:18:21.280
<v Speaker 4>in twenty seventeen, and there was this heartbreaking quote in

0:18:21.320 --> 0:18:23.679
<v Speaker 4>it where this trucker said, you know, we feel like

0:18:23.880 --> 0:18:28.200
<v Speaker 4>throw away people. There's all these small injustices in the industry,

0:18:28.240 --> 0:18:30.560
<v Speaker 4>which the net effect is that, you know, there's about

0:18:30.600 --> 0:18:33.000
<v Speaker 4>three and a half million truckers in America, there's ten

0:18:33.040 --> 0:18:36.080
<v Speaker 4>million people who have a commercial driver's license. Those are

0:18:36.080 --> 0:18:38.439
<v Speaker 4>all the people who went into the industry and burned

0:18:38.440 --> 0:18:39.879
<v Speaker 4>out and are just like, I'm not going to be

0:18:39.920 --> 0:18:41.000
<v Speaker 4>a truck driver anymore.

0:18:41.200 --> 0:18:44.280
<v Speaker 2>Those numbers are staggering, honestly, and it makes sense when

0:18:44.320 --> 0:18:47.800
<v Speaker 2>you understand the experiences that a lot of truckers have.

0:18:47.960 --> 0:18:51.520
<v Speaker 4>The challenge in trucking is that even as rates go

0:18:51.600 --> 0:18:55.679
<v Speaker 4>up and wages go up, the quality of life is low.

0:18:55.960 --> 0:18:58.879
<v Speaker 4>So the average truck driver is on the road twenty

0:18:58.880 --> 0:19:01.600
<v Speaker 4>one days out of every month. They're working fourteen hours

0:19:01.600 --> 0:19:01.960
<v Speaker 4>a day.

0:19:02.240 --> 0:19:05.080
<v Speaker 1>Let me tell you something I can't do anything for

0:19:05.119 --> 0:19:09.159
<v Speaker 1>that long and that many consecutive days, maybe sleep, maybe sleep,

0:19:09.480 --> 0:19:11.680
<v Speaker 1>and even then, you know, you get tired.

0:19:11.960 --> 0:19:13.720
<v Speaker 3>You still get tired of sleeping.

0:19:13.880 --> 0:19:16.800
<v Speaker 1>And so I can't imagine having to be alert at

0:19:16.800 --> 0:19:21.080
<v Speaker 1>the wheel of this huge machine that's carrying all these goods.

0:19:21.480 --> 0:19:24.600
<v Speaker 1>And it's not always like a perfect sunny day out

0:19:24.760 --> 0:19:28.240
<v Speaker 1>in the rain, in the snow and a hurricane. We're

0:19:28.359 --> 0:19:31.879
<v Speaker 1>still expecting our packages. So they can't call out, they

0:19:31.880 --> 0:19:33.960
<v Speaker 1>can't say, oh no, there's a storm, I'm not coming.

0:19:34.200 --> 0:19:36.280
<v Speaker 1>They have to hit the road. And when you really

0:19:36.320 --> 0:19:39.800
<v Speaker 1>look at it, there's also the issue of stagnating wages.

0:19:40.000 --> 0:19:42.160
<v Speaker 1>So if you look at what the average trucker made

0:19:42.200 --> 0:19:44.520
<v Speaker 1>in the United States in around the eighties, it was

0:19:44.520 --> 0:19:48.200
<v Speaker 1>about thirty six thousand dollars a year, and in twenty

0:19:48.200 --> 0:19:50.720
<v Speaker 1>twenty bucks that's about one hundred and twenty thousand dollars.

0:19:50.880 --> 0:19:54.040
<v Speaker 1>But by twenty nineteen the average wage was only forty

0:19:54.080 --> 0:19:57.040
<v Speaker 1>five thousand dollars. So when you normalize all that out

0:19:57.080 --> 0:19:59.520
<v Speaker 1>for like inflation and all that, what you're looking at

0:19:59.560 --> 0:20:03.120
<v Speaker 1>is actually a sixty three percent decrease in wages over

0:20:03.160 --> 0:20:05.960
<v Speaker 1>a forty year time period. Christopher explained that sometimes big

0:20:06.000 --> 0:20:09.440
<v Speaker 1>trucking companies will cover the upfront costs for a commercial

0:20:09.480 --> 0:20:12.280
<v Speaker 1>driver's license or a CDL, which could be seven thousand

0:20:12.320 --> 0:20:14.760
<v Speaker 1>dollars or more, but that has to be paid back.

0:20:14.600 --> 0:20:16.240
<v Speaker 4>So they got to work like a year just to

0:20:16.280 --> 0:20:18.560
<v Speaker 4>pay that off. They're getting paid by the mile, and

0:20:18.920 --> 0:20:21.159
<v Speaker 4>when you're a trucker and you stop at a warehouse,

0:20:21.280 --> 0:20:22.680
<v Speaker 4>you're not getting paid for that time.

0:20:22.760 --> 0:20:25.240
<v Speaker 2>That's a lot of unpaid labor. So what we're seeing

0:20:25.320 --> 0:20:27.560
<v Speaker 2>is the cost of shipping going down while the cost

0:20:27.560 --> 0:20:28.840
<v Speaker 2>of living has only gone up.

0:20:28.920 --> 0:20:31.960
<v Speaker 1>Okay, so only getting paid by the mail or during

0:20:32.080 --> 0:20:35.720
<v Speaker 1>quote unquote productive time sounds like scientific management to me.

0:20:35.960 --> 0:20:38.919
<v Speaker 1>And this really doesn't take into account that people like

0:20:39.000 --> 0:20:40.480
<v Speaker 1>machines need maintenance.

0:20:40.560 --> 0:20:41.640
<v Speaker 3>People have to go to the.

0:20:41.600 --> 0:20:43.960
<v Speaker 1>Bathroom, they have to shower, they have to eat, and

0:20:44.080 --> 0:20:47.080
<v Speaker 1>they have to sleep and that's just basic survival. So

0:20:47.160 --> 0:20:49.400
<v Speaker 1>it's no wonder that all these truckers are burning out

0:20:49.440 --> 0:20:51.200
<v Speaker 1>and choosing to have other.

0:20:51.160 --> 0:20:51.959
<v Speaker 3>Types of jobs.

0:20:52.160 --> 0:20:55.040
<v Speaker 2>Yeah, it feels like all of this is also coming

0:20:55.080 --> 0:20:57.320
<v Speaker 2>to a head during the pandemic, and so you have

0:20:57.400 --> 0:20:59.840
<v Speaker 2>to kind of ask why, now, how do we get

0:20:59.880 --> 0:21:03.400
<v Speaker 2>to this place where the trucking industry has become unsustainable

0:21:03.520 --> 0:21:06.160
<v Speaker 2>for the folks who are driving it, for the truckers.

0:21:06.280 --> 0:21:09.320
<v Speaker 4>At the beginning of the pandemic, all the companies thought

0:21:09.320 --> 0:21:11.560
<v Speaker 4>this is gonna be like the Great Recession. Demand's gonna

0:21:11.560 --> 0:21:13.640
<v Speaker 4>go down. So they're like, Okay, I'm going to book

0:21:13.680 --> 0:21:16.439
<v Speaker 4>fewer shipping containers, less trucks, I'm gonna buy less stuff.

0:21:16.560 --> 0:21:20.560
<v Speaker 4>But then the opposite happened. America went shopping and demand

0:21:20.680 --> 0:21:23.800
<v Speaker 4>is now so much higher for everything than it was before.

0:21:26.920 --> 0:21:27.960
<v Speaker 3>This is very true.

0:21:28.080 --> 0:21:30.920
<v Speaker 1>We all got sent home and we just started buying

0:21:31.119 --> 0:21:34.320
<v Speaker 1>and buying and buying. I remember early on in the

0:21:34.359 --> 0:21:37.080
<v Speaker 1>pandemic when there was no paper towels, no toilet paper,

0:21:37.280 --> 0:21:41.520
<v Speaker 1>no flour, no eggs, no nothing in the grocery store.

0:21:41.720 --> 0:21:44.520
<v Speaker 1>I was trying to buy paper towels offline, and the

0:21:44.600 --> 0:21:48.320
<v Speaker 1>shipping cost was like ninety dollars to ship a few

0:21:48.400 --> 0:21:49.640
<v Speaker 1>rolls of paper calculus.

0:21:49.640 --> 0:21:51.679
<v Speaker 3>I couldn't believe it. I really couldn't believe it. I

0:21:51.720 --> 0:21:52.680
<v Speaker 3>did not purchase them.

0:21:52.680 --> 0:21:57.440
<v Speaker 2>To be clear, there's a baseline supply and demand in economics, right,

0:21:57.480 --> 0:21:59.479
<v Speaker 2>so when there's a lot of supply for a product,

0:21:59.480 --> 0:22:03.119
<v Speaker 2>the price goes down. Demand drives prices to increase, but

0:22:03.320 --> 0:22:06.520
<v Speaker 2>Supply and demand don't exist in isolation. The supply has

0:22:06.560 --> 0:22:08.440
<v Speaker 2>to get to you, right, and so even when there's

0:22:08.480 --> 0:22:10.640
<v Speaker 2>a lot of supply, if we can't get it from

0:22:10.640 --> 0:22:13.240
<v Speaker 2>one place to another. So if there's a supply and

0:22:13.280 --> 0:22:15.240
<v Speaker 2>demand shortage for truckers, right, So if there are not

0:22:15.280 --> 0:22:17.399
<v Speaker 2>a lot of truckers, the demand is no longer on

0:22:17.480 --> 0:22:19.879
<v Speaker 2>the product, the demand is on the transportation. And so

0:22:20.000 --> 0:22:25.320
<v Speaker 2>that's why TT saw that really high shipping costs. But

0:22:25.359 --> 0:22:27.360
<v Speaker 2>when you go back and really think about it, if

0:22:27.359 --> 0:22:29.679
<v Speaker 2>we look at the really big picture, I feel like

0:22:29.720 --> 0:22:32.439
<v Speaker 2>there were some acute things that we felt from the

0:22:32.440 --> 0:22:36.200
<v Speaker 2>pandemic and shipping and demand for online shopping, but when

0:22:36.240 --> 0:22:38.879
<v Speaker 2>we zoom out, there had really been a major shift

0:22:38.880 --> 0:22:42.159
<v Speaker 2>to online shopping even before the pandemic too. That's a

0:22:42.200 --> 0:22:44.160
<v Speaker 2>really good point and we are going to talk about

0:22:44.160 --> 0:22:46.600
<v Speaker 2>that later this season, So be on your p's and

0:22:46.640 --> 0:22:49.760
<v Speaker 2>q's ready for that. And it makes sense too, because

0:22:49.800 --> 0:22:54.760
<v Speaker 2>we are creatures of yes, habit, but more than habit convenience. Okay,

0:22:54.800 --> 0:22:57.600
<v Speaker 2>we want to have what we want when we want it,

0:22:57.680 --> 0:23:01.240
<v Speaker 2>end at our doorsteps, preach. So if there's an option

0:23:01.280 --> 0:23:02.920
<v Speaker 2>for me to have to travel to the store, wait

0:23:02.960 --> 0:23:05.240
<v Speaker 2>in line at the counter. Hope they have what I need,

0:23:05.400 --> 0:23:08.760
<v Speaker 2>Especially for boring purchases. I'd rather add all that stuff

0:23:08.800 --> 0:23:10.640
<v Speaker 2>to Kart and have it delivered to me.

0:23:10.720 --> 0:23:12.760
<v Speaker 3>And with free shipping and free returns.

0:23:12.800 --> 0:23:16.040
<v Speaker 1>At a lot of online retailers, it's so easy to

0:23:16.160 --> 0:23:18.880
<v Speaker 1>add to KRT and check out. But maybe we need

0:23:18.880 --> 0:23:22.360
<v Speaker 1>to start, you know, taking a beat mefore doing that,

0:23:22.720 --> 0:23:26.520
<v Speaker 1>and ask ourselves if we can get by without that purchase.

0:23:26.680 --> 0:23:30.320
<v Speaker 2>Yeah, maybe I don't need all these different Trani syrups

0:23:30.359 --> 0:23:34.920
<v Speaker 2>to make, you know, cafe quality pumpkin spice lattes at home.

0:23:35.640 --> 0:23:38.760
<v Speaker 2>I don't need it, You don't, I don't, I really don't.

0:23:38.840 --> 0:23:46.440
<v Speaker 3>Oh, and this leads us to the elephant in the room. Amazon.

0:23:46.800 --> 0:23:50.360
<v Speaker 1>It feels like you can get anything, literally anything delivered

0:23:50.359 --> 0:23:54.080
<v Speaker 1>to your house in the maximum two days. I've gotten

0:23:54.119 --> 0:23:58.080
<v Speaker 1>things off Amazon and gotten it just a few hours later.

0:23:58.400 --> 0:23:59.919
<v Speaker 1>How are they able to do this?

0:24:00.359 --> 0:24:00.439
<v Speaker 3>So?

0:24:00.600 --> 0:24:05.200
<v Speaker 4>Amazon, their whole modus operandi is that they're going to

0:24:05.240 --> 0:24:07.720
<v Speaker 4>squeeze as much as they can out of workers using

0:24:07.920 --> 0:24:10.520
<v Speaker 4>surveillance technology management by algorithm.

0:24:10.720 --> 0:24:14.119
<v Speaker 2>Amazon famously employs the use of scientific management for all

0:24:14.160 --> 0:24:17.600
<v Speaker 2>of its employees, specifically those working in the fulfillment centers, though,

0:24:17.640 --> 0:24:21.280
<v Speaker 2>workers have to meet certain productivity quotas or face termination.

0:24:21.520 --> 0:24:24.920
<v Speaker 2>And in twenty nineteen, Amazon warehouse workers went on strike

0:24:25.040 --> 0:24:28.320
<v Speaker 2>to protest inhumane working conditions. At the end of October,

0:24:28.359 --> 0:24:32.880
<v Speaker 2>warehouse workers from Amazon's Staten Island facility filed a petition

0:24:33.000 --> 0:24:35.320
<v Speaker 2>for a union election and the request has to be

0:24:35.359 --> 0:24:39.000
<v Speaker 2>approved by the National Labor Relations Board. And this would

0:24:39.000 --> 0:24:43.560
<v Speaker 2>be the second unionization vote, after the workers in Bessemer, Alabama,

0:24:43.840 --> 0:24:47.199
<v Speaker 2>failed to reach enough votes to unionize last April. And

0:24:47.560 --> 0:24:50.160
<v Speaker 2>that's just the tip of the iceberg. We've seen many

0:24:50.240 --> 0:24:54.440
<v Speaker 2>labor stories just like this in so many different sectors, restaurants,

0:24:54.440 --> 0:24:57.680
<v Speaker 2>food delivery, riot sharing, and of course trucking.

0:24:57.800 --> 0:25:00.400
<v Speaker 3>And this is not a good look.

0:25:00.600 --> 0:25:03.360
<v Speaker 1>Amazon has not just been under fire by the media,

0:25:03.440 --> 0:25:06.840
<v Speaker 1>They've also been scrutinized by regulating organizations.

0:25:07.080 --> 0:25:10.639
<v Speaker 4>California just past a bill limiting the use of the

0:25:10.720 --> 0:25:13.960
<v Speaker 4>kind of work quotas that Amazon relies on inside of

0:25:13.960 --> 0:25:16.840
<v Speaker 4>its warehouses. But this whole system of scientific management, or

0:25:16.880 --> 0:25:19.879
<v Speaker 4>as I call it, buzoicism, which is scientific management, plus

0:25:19.920 --> 0:25:24.040
<v Speaker 4>all this technology impacts every other type of worker at Amazon,

0:25:24.160 --> 0:25:26.400
<v Speaker 4>all the way down to the last mile truck drivers.

0:25:26.800 --> 0:25:30.800
<v Speaker 4>Those drivers are subject to the same kind of surveillance

0:25:30.840 --> 0:25:33.720
<v Speaker 4>as the workers in warehouses. There's cameras facing them, cameras

0:25:33.760 --> 0:25:36.359
<v Speaker 4>watching the road, and Amazon says that's all about increasing safety,

0:25:36.400 --> 0:25:38.480
<v Speaker 4>which I'm sure is true, but it's also about making

0:25:38.520 --> 0:25:40.800
<v Speaker 4>sure that they work as quickly as possible.

0:25:40.920 --> 0:25:43.960
<v Speaker 1>And we learn that those drivers don't even work for Amazon.

0:25:44.080 --> 0:25:48.200
<v Speaker 1>They're subcontractors working for smaller trucking companies who work for Amazon.

0:25:48.320 --> 0:25:52.160
<v Speaker 1>And this protects Amazon from any legal liability if.

0:25:52.080 --> 0:25:54.240
<v Speaker 4>One of those trucks gets into an accident. Amazon's not

0:25:54.280 --> 0:25:57.160
<v Speaker 4>directly responsible for that truck. If one of those workers

0:25:57.160 --> 0:25:59.679
<v Speaker 4>gets harassed by their boss, Amazon doesn't have to get

0:25:59.720 --> 0:26:01.600
<v Speaker 4>involve and they can't be sued for it.

0:26:01.640 --> 0:26:04.320
<v Speaker 2>This is like a tefline coding, like a business version

0:26:04.359 --> 0:26:06.439
<v Speaker 2>of it. And since the spring, Amazon has announced some

0:26:06.520 --> 0:26:09.080
<v Speaker 2>changes to address some of the issues in their warehouses,

0:26:09.280 --> 0:26:11.480
<v Speaker 2>so they know they're there. But that includes spending like

0:26:11.520 --> 0:26:15.000
<v Speaker 2>three hundred million dollars on employee safety, but unfortunately it

0:26:15.119 --> 0:26:22.359
<v Speaker 2>still doesn't include driver safety.

0:26:23.920 --> 0:26:24.720
<v Speaker 3>So what's next.

0:26:24.800 --> 0:26:26.480
<v Speaker 1>I mean, I feel like all of this goes back

0:26:26.520 --> 0:26:29.879
<v Speaker 1>to the rise in the gig economy, and Christopher calls

0:26:29.960 --> 0:26:32.280
<v Speaker 1>this the fissured workplace.

0:26:31.800 --> 0:26:35.159
<v Speaker 4>It just means there's more layers between the worker and

0:26:35.200 --> 0:26:37.040
<v Speaker 4>the people who hire those workers.

0:26:37.160 --> 0:26:40.880
<v Speaker 2>So companies like Uber, Lift, Door, Dash, they're all leveraging

0:26:40.920 --> 0:26:45.480
<v Speaker 2>technology using principles of scientific management, but ultimately for profit.

0:26:45.520 --> 0:26:49.480
<v Speaker 4>It's about using technology to take advantage of our existing

0:26:49.600 --> 0:26:52.399
<v Speaker 4>systems of laws. We are going to use all this

0:26:52.520 --> 0:26:56.119
<v Speaker 4>venture capitalists, dough and this technology to rush into the

0:26:56.240 --> 0:27:00.480
<v Speaker 4>vacuum of inadequate regulation in a particular and just to

0:27:00.520 --> 0:27:03.280
<v Speaker 4>try to extract as much profits and kind of mind

0:27:03.359 --> 0:27:06.120
<v Speaker 4>them from the employees that we have. And to be clear,

0:27:06.320 --> 0:27:09.440
<v Speaker 4>you know, I'm not against totally new models like Uber

0:27:09.480 --> 0:27:11.880
<v Speaker 4>and left Like, I think it's cool, maybe there's some

0:27:12.080 --> 0:27:14.760
<v Speaker 4>universe in which it could work, but making sure that

0:27:14.800 --> 0:27:17.400
<v Speaker 4>there are sort of minimum protections for workers. Not only

0:27:17.520 --> 0:27:19.000
<v Speaker 4>is it the humane thing to do, but in the

0:27:19.000 --> 0:27:21.480
<v Speaker 4>long run, it's probably the most sustainable thing to do

0:27:22.080 --> 0:27:24.800
<v Speaker 4>because it would mean less turnover.

0:27:25.119 --> 0:27:28.760
<v Speaker 1>So what are the implication of today's use of scientific

0:27:28.800 --> 0:27:31.880
<v Speaker 1>management more broadly for people working in the United States?

0:27:32.080 --> 0:27:34.480
<v Speaker 4>The overall trend is if you look at like the

0:27:34.520 --> 0:27:37.960
<v Speaker 4>distribution of income in America and the kind of jobs

0:27:38.040 --> 0:27:41.159
<v Speaker 4>people go into, you have more and more people moving

0:27:41.160 --> 0:27:43.639
<v Speaker 4>into more skilled jobs that demand more of them and

0:27:43.680 --> 0:27:45.800
<v Speaker 4>pay them more, but also more and more people moving

0:27:45.840 --> 0:27:48.400
<v Speaker 4>into low skilled jobs where if you have high school

0:27:48.480 --> 0:27:50.800
<v Speaker 4>education or less, your options are very limited.

0:27:50.920 --> 0:27:52.000
<v Speaker 2>That's called de skilling.

0:27:52.160 --> 0:27:55.920
<v Speaker 4>So you kind of hollow out America's middle class and

0:27:55.960 --> 0:28:00.000
<v Speaker 4>you create these two polarized classes of workers.

0:28:00.000 --> 0:28:01.439
<v Speaker 2>Feels like you get to this place where there are

0:28:01.480 --> 0:28:04.520
<v Speaker 2>engineers and developers who are creating the technology to replace

0:28:04.560 --> 0:28:06.440
<v Speaker 2>the jobs that people used to do, and then there's

0:28:06.480 --> 0:28:07.600
<v Speaker 2>just everybody else.

0:28:07.440 --> 0:28:10.720
<v Speaker 4>Which frankly is the majority of American workers who then

0:28:10.840 --> 0:28:13.840
<v Speaker 4>are forced to work alongside that automation or become a

0:28:13.880 --> 0:28:15.919
<v Speaker 4>part of it. I kind of picture them like bugs

0:28:15.920 --> 0:28:19.199
<v Speaker 4>and amber, and they're just trapped in this matrix that

0:28:19.320 --> 0:28:22.000
<v Speaker 4>has been created that's all machines. And it's like, Okay,

0:28:22.000 --> 0:28:23.520
<v Speaker 4>if you're going to function in this world, you have

0:28:23.560 --> 0:28:25.439
<v Speaker 4>to operate like a machine. You have to operate at

0:28:25.480 --> 0:28:27.120
<v Speaker 4>the pace of a machine. You have to do repetitive

0:28:27.160 --> 0:28:29.760
<v Speaker 4>labor like a machine. And to be clear, it's not new, right,

0:28:29.800 --> 0:28:32.720
<v Speaker 4>this is as old as the assembly line and industrialization,

0:28:32.920 --> 0:28:36.919
<v Speaker 4>but this type of work has spread beyond the factory

0:28:37.080 --> 0:28:39.640
<v Speaker 4>to so many other types of labor.

0:28:39.920 --> 0:28:43.520
<v Speaker 1>So when workers are being exploited and their privacy is

0:28:43.560 --> 0:28:47.720
<v Speaker 1>being infringed upon. Those are definitely signs that the scientific

0:28:47.760 --> 0:28:52.000
<v Speaker 1>management practices that they're using have gone overboard. Humans are

0:28:52.000 --> 0:28:55.200
<v Speaker 1>not robots, and we can't ignore our own humanity and

0:28:55.240 --> 0:28:57.520
<v Speaker 1>the humanity of other people while we're in the workplace.

0:28:57.640 --> 0:29:00.719
<v Speaker 2>That's so true, and it feels like this really big

0:29:01.120 --> 0:29:04.320
<v Speaker 2>concept to wrestle with. Right. Yes, I understand these things

0:29:04.320 --> 0:29:06.320
<v Speaker 2>at the different levels of the supply chain, but then

0:29:06.360 --> 0:29:09.160
<v Speaker 2>we still have certain basic needs, right, And so then

0:29:09.200 --> 0:29:11.240
<v Speaker 2>you begin to ask yourself, like, what can I do

0:29:11.440 --> 0:29:13.960
<v Speaker 2>on an individual level to affect some type of change?

0:29:14.120 --> 0:29:14.320
<v Speaker 3>Right?

0:29:14.480 --> 0:29:19.160
<v Speaker 1>Because we're just one consumer and this whole big consumer machine. Right,

0:29:19.280 --> 0:29:20.880
<v Speaker 1>it doesn't feel like there's a lot that we can

0:29:20.960 --> 0:29:23.719
<v Speaker 1>do to make any type of significant change.

0:29:23.720 --> 0:29:25.640
<v Speaker 3>And what we know is a flawed system.

0:29:25.800 --> 0:29:28.560
<v Speaker 4>I mean, I think of it like climate change in

0:29:28.600 --> 0:29:30.719
<v Speaker 4>a way. I think we get really hung up on

0:29:31.000 --> 0:29:34.160
<v Speaker 4>the individual choices that we make. And those individual choices

0:29:34.240 --> 0:29:38.040
<v Speaker 4>are important because they change our mindset and that changes

0:29:38.080 --> 0:29:40.080
<v Speaker 4>how we interact with the world. But in terms of

0:29:40.120 --> 0:29:42.760
<v Speaker 4>having an impact beyond the individual choices that we make,

0:29:43.080 --> 0:29:45.280
<v Speaker 4>you know, I think we all just have to vote

0:29:45.520 --> 0:29:50.960
<v Speaker 4>and be involved civically and advocate for better policy. And

0:29:51.120 --> 0:29:53.120
<v Speaker 4>it doesn't always have to happen at the federal level.

0:29:53.240 --> 0:29:56.880
<v Speaker 4>I mean, California has this incredible power to set the

0:29:57.000 --> 0:29:59.680
<v Speaker 4>gender for the whole country, whether it's emission standards or

0:29:59.680 --> 0:30:02.560
<v Speaker 4>these new laws governing how work is done at Amazon warehouses.

0:30:02.640 --> 0:30:06.360
<v Speaker 4>So sometimes individual states, even cities have the power to

0:30:06.680 --> 0:30:08.880
<v Speaker 4>set a floor on how much money an Uber driver

0:30:08.960 --> 0:30:12.360
<v Speaker 4>gets paid every hour. There's always these kind of opportunities

0:30:12.440 --> 0:30:13.200
<v Speaker 4>to get engaged.

0:30:19.400 --> 0:30:21.640
<v Speaker 2>I think I feeling a little bit more hopeful. I

0:30:21.680 --> 0:30:24.040
<v Speaker 2>have a better understanding of what's going on.

0:30:24.280 --> 0:30:25.320
<v Speaker 3>Yes, the more you know.

0:30:25.640 --> 0:30:28.360
<v Speaker 2>In mid October, the President made a statement about all

0:30:28.360 --> 0:30:31.760
<v Speaker 2>the supply chain issues, and they're talking about leaving the

0:30:31.800 --> 0:30:34.840
<v Speaker 2>ports open, having them running twenty four to seven, shifting

0:30:34.920 --> 0:30:38.320
<v Speaker 2>to some night work based on what we learned from Christopher.

0:30:38.400 --> 0:30:40.080
<v Speaker 2>I don't know how much of a change that's going

0:30:40.120 --> 0:30:42.240
<v Speaker 2>to make, because it seems like there's issues at many

0:30:42.240 --> 0:30:44.880
<v Speaker 2>different steps. But I think if people can kind of

0:30:45.160 --> 0:30:47.000
<v Speaker 2>know what's happening. I've seen it in the news a

0:30:47.040 --> 0:30:49.360
<v Speaker 2>little bit more, we can kind of temper that rush

0:30:49.400 --> 0:30:51.320
<v Speaker 2>when people feel like, Oh, something's happening. I didn't know

0:30:51.400 --> 0:30:53.440
<v Speaker 2>this was going on. It's like when there's a shortage

0:30:53.480 --> 0:30:55.440
<v Speaker 2>of gas and then everybody runs out to get gas

0:30:55.560 --> 0:30:57.120
<v Speaker 2>and it makes it worse. You know. I feel like

0:30:57.160 --> 0:30:59.400
<v Speaker 2>this could be a little bit better. Things could maybe

0:30:59.400 --> 0:31:01.680
<v Speaker 2>be moving slow, but we know that things will come.

0:31:01.840 --> 0:31:03.960
<v Speaker 1>So since tomorrow's Black Friday, how do we want to

0:31:04.080 --> 0:31:06.480
<v Speaker 1>approach it? Now that we know all this stuff that

0:31:06.520 --> 0:31:09.080
<v Speaker 1>we know from Christopher? I think for me, I've never

0:31:09.240 --> 0:31:12.000
<v Speaker 1>gone out to the store and you know, stood in

0:31:12.040 --> 0:31:13.240
<v Speaker 1>the lines for Black Friday.

0:31:13.240 --> 0:31:14.640
<v Speaker 3>But I know a lot of people that do.

0:31:15.000 --> 0:31:16.600
<v Speaker 1>And I think one thing that I might try and

0:31:16.640 --> 0:31:20.360
<v Speaker 1>do is maybe buy locally, like go out to a

0:31:20.440 --> 0:31:23.760
<v Speaker 1>local shop in my neighborhood and try and find, you know,

0:31:23.880 --> 0:31:27.120
<v Speaker 1>gifts from there, or maybe just cut back on the

0:31:27.240 --> 0:31:29.480
<v Speaker 1>amount of gifts that I feel like I need to buy.

0:31:29.480 --> 0:31:32.120
<v Speaker 2>Folks, I'm right with you. I'm all for cutting back

0:31:32.120 --> 0:31:34.000
<v Speaker 2>on the gifts. I feel like, you know, in the

0:31:34.000 --> 0:31:35.680
<v Speaker 2>past couple of years, it really kind of got out

0:31:35.680 --> 0:31:38.520
<v Speaker 2>of control. I'm also going to try to you know,

0:31:38.600 --> 0:31:41.360
<v Speaker 2>when I am purchasing things, I don't need that stuff

0:31:41.400 --> 0:31:43.880
<v Speaker 2>next day, I don't need that stuff in two days.

0:31:44.080 --> 0:31:46.360
<v Speaker 2>Let it come whenever it comes, you know. I think

0:31:46.400 --> 0:31:48.360
<v Speaker 2>if we could ease some of the demand in that

0:31:48.480 --> 0:31:50.920
<v Speaker 2>space as well. I think that could be useful too.

0:31:51.160 --> 0:31:53.360
<v Speaker 1>Or you know, maybe you don't need it at all,

0:31:53.920 --> 0:31:57.360
<v Speaker 1>and that is a very removed from call good point.

0:32:00.920 --> 0:32:02.520
<v Speaker 2>All right, we've been doing a lot of talking, but

0:32:02.600 --> 0:32:05.280
<v Speaker 2>now it's time to hear from you. We're going to

0:32:05.320 --> 0:32:07.440
<v Speaker 2>do a little pop quiz to see just how well

0:32:07.480 --> 0:32:09.959
<v Speaker 2>you've been listening. So look at your Spotify app and

0:32:10.040 --> 0:32:12.200
<v Speaker 2>you should see a poll pop up, ready for the

0:32:12.280 --> 0:32:14.880
<v Speaker 2>question give it to them tt So the question.

0:32:14.720 --> 0:32:18.520
<v Speaker 3>Is what event led to the creation of the shipping container?

0:32:18.920 --> 0:32:20.280
<v Speaker 2>I wonder how many of them are going to get

0:32:20.280 --> 0:32:20.560
<v Speaker 2>it right.

0:32:20.880 --> 0:32:22.720
<v Speaker 3>They're smart. I think that all of them are gonna

0:32:22.720 --> 0:32:23.160
<v Speaker 3>get it right.

0:32:23.360 --> 0:32:25.280
<v Speaker 1>Don't be that guy where you're just gonna choose the

0:32:25.280 --> 0:32:27.240
<v Speaker 1>wrong answer to be funny.

0:32:27.960 --> 0:32:28.560
<v Speaker 2>Is there great?

0:32:29.880 --> 0:32:32.959
<v Speaker 3>You're gonna fail to be funny? I feel like my

0:32:32.960 --> 0:32:34.240
<v Speaker 3>mom has said that to me before.

0:32:38.120 --> 0:32:39.560
<v Speaker 2>All right, it's time for our one thing.

0:32:39.840 --> 0:32:42.280
<v Speaker 3>My one thing this week is the session. I know

0:32:42.360 --> 0:32:43.320
<v Speaker 3>I'm late to the game.

0:32:43.360 --> 0:32:45.440
<v Speaker 1>Most of you have already been watching it, but I

0:32:45.480 --> 0:32:46.600
<v Speaker 1>had not even heard of the show.

0:32:46.640 --> 0:32:47.040
<v Speaker 2>What happened?

0:32:47.040 --> 0:32:48.880
<v Speaker 1>Why weren't y'all on my DM telling me? I think

0:32:48.920 --> 0:32:51.240
<v Speaker 1>I told you about this, Yes, run, but you watch

0:32:51.240 --> 0:32:53.719
<v Speaker 1>a lot of stuff and so sometimes I'm just like,

0:32:54.200 --> 0:32:56.200
<v Speaker 1>you know, he's not going to be able to keep up.

0:32:56.360 --> 0:32:58.640
<v Speaker 1>But I've been watching se session and I have been

0:32:58.960 --> 0:33:01.760
<v Speaker 1>love being it. I'm y'all on at the screen every

0:33:01.800 --> 0:33:02.320
<v Speaker 1>single day.

0:33:02.400 --> 0:33:05.080
<v Speaker 2>Oh my goodness, I'm glad you like it. My one

0:33:05.120 --> 0:33:08.120
<v Speaker 2>thing this week is a book called Good Morning, Monster

0:33:09.160 --> 0:33:13.240
<v Speaker 2>and Baby. It is a profile of five different patients

0:33:13.240 --> 0:33:16.120
<v Speaker 2>from a therapist. There's so much to learn in there.

0:33:16.200 --> 0:33:18.760
<v Speaker 2>It's jam packed. I've been telling everybody all about it,

0:33:18.920 --> 0:33:20.920
<v Speaker 2>Good Morning Monster. Check it out. See if it's at

0:33:20.960 --> 0:33:23.000
<v Speaker 2>your local library, or if you can listen to it

0:33:23.040 --> 0:33:24.640
<v Speaker 2>if you don't want to get a copy. There's something

0:33:24.640 --> 0:33:25.760
<v Speaker 2>to learn for everybody.

0:33:25.840 --> 0:33:29.800
<v Speaker 1>Okay, I'm going to be on top of that.

0:33:29.800 --> 0:33:31.880
<v Speaker 2>That's it for Lap thirty nine. We want to hear

0:33:31.920 --> 0:33:33.920
<v Speaker 2>from you. Call us at two O two five six

0:33:34.040 --> 0:33:36.560
<v Speaker 2>seven seven zero two eight and tell us what you thought,

0:33:36.840 --> 0:33:38.400
<v Speaker 2>or if you have an idea for a lap we

0:33:38.400 --> 0:33:40.920
<v Speaker 2>should do this semester. Tell us that too. We really

0:33:40.960 --> 0:33:43.160
<v Speaker 2>love hearing from you. That's two O two five six

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<v Speaker 2>seven seven zero two eight.

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<v Speaker 1>And don't forget there's so much more for you to

0:33:47.040 --> 0:33:49.560
<v Speaker 1>dig into on our website. There'll be a cheat cheat

0:33:49.600 --> 0:33:52.440
<v Speaker 1>there for Today's lab and additional links and resources in

0:33:52.440 --> 0:33:55.160
<v Speaker 1>the show notes. Plus, you can sign up for our newsletter,

0:33:55.240 --> 0:33:57.880
<v Speaker 1>so check it out at Dope Last podcast dot com.

0:33:57.960 --> 0:34:00.600
<v Speaker 2>And don't forget, Semester four is going to be exclusive

0:34:00.720 --> 0:34:04.280
<v Speaker 2>to Spotify for free starting December sixteenth, So if you

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<v Speaker 2>already listen to us on Spotify, keep doing what you're doing,

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<v Speaker 2>and don't forget to follow Dope Labs and tap the

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<v Speaker 2>bill icon so you never missed when an episode drops.

0:34:12.080 --> 0:34:14.480
<v Speaker 2>Now after December sixteenth, you won't be able to hear

0:34:14.600 --> 0:34:17.239
<v Speaker 2>new episodes of Dope Labs anywhere else, So if you

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<v Speaker 2>don't listen to us on Spotify, be sure to follow

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<v Speaker 2>us on over here, where you can listen to Dope

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<v Speaker 2>Labs plus all of your other favorite shows for free.

0:34:24.600 --> 0:34:27.240
<v Speaker 1>Special thanks to Today's expert Christopher Memes.

0:34:27.280 --> 0:34:30.440
<v Speaker 2>His new book Arriving Today is out now from HarperCollins.

0:34:30.520 --> 0:34:33.800
<v Speaker 2>You can follow him on Twitter at mems m ims.

0:34:34.280 --> 0:34:37.399
<v Speaker 1>Dope Labs is a Spotify original production from Mega Own

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<v Speaker 1>Media Group.

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<v Speaker 2>Our producers are Jenny Ratolck Mast and Lydia Smith of

0:34:41.160 --> 0:34:42.920
<v Speaker 2>WaveRunner Studios.

0:34:42.560 --> 0:34:44.640
<v Speaker 3>Editing in Sound design by Rob.

0:34:44.440 --> 0:34:47.000
<v Speaker 2>Smerciak, mixing by Hannes Brown.

0:34:47.120 --> 0:34:51.000
<v Speaker 1>Original music composed and produced by Taka Yasuzawa and Alex

0:34:51.080 --> 0:34:54.719
<v Speaker 1>Sugier from Spotify. Our executive producer is Gina Delvack, and

0:34:54.800 --> 0:34:58.760
<v Speaker 1>creative producers are Baron Farmer and Candace Manriquez RINN Special

0:34:58.840 --> 0:35:03.000
<v Speaker 1>thanks to Shirley Ramo Yasmin of Fifi, Camu Elolia, Till

0:35:03.080 --> 0:35:06.399
<v Speaker 1>krat Key and Brian Marquis. Executive producers from Mega Own

0:35:06.440 --> 0:35:09.120
<v Speaker 1>Media Group r us T T Show Dia and Zekiah

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<v Speaker 1>Wattley