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Speaker 1: Hello, and welcome to Food Stuff. I'm any Rate and

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Speaker 1: I'm Lauren bulk Bomb, and today we're talking about a machine. Yes,

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Speaker 1: a group of machines, that's right. I mean vending machines specifically,

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Speaker 1: which you probably knew from the episode title. And I

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Speaker 1: don't know why I'm ever trying to be mysterious at

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Speaker 1: this part. I like it. I was like, is she

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Speaker 1: gonna throw in a curveball for me? And I'm gonna

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Speaker 1: have to speak about some machine I know nothing about it. No, No,

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Speaker 1: it's vending machines. Okay, that thing that we outlined extensively. Yes,

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Speaker 1: we are discussing vending machines. And one of the reasons

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Speaker 1: we're discussing it is because a co worker I have

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Speaker 1: brought up and have not yet prinked, but Will Chandler,

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Speaker 1: he sits across from me, and he, very I would say,

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Speaker 1: at least once a week, tells me we should do

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Speaker 1: an episode on vending machines. So here we are, we're

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Speaker 1: doing it. Chandler and he works on Omnibus, which is

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Speaker 1: a brother podcast of Oars, and they did an episode

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Speaker 1: on bending machines that was more about the weirdest things ever,

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Speaker 1: which is a lot of stuff. Oh yes, we're going

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Speaker 1: to touch on some of them in here, but there

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Speaker 1: are so many it's worth a listen. Yes, yeah, And

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Speaker 1: and it's a it's a delightful show in general. So yeah.

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Speaker 1: The if you're looking for that episode, it's called Vending Machines,

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Speaker 1: So that's pretty easy to find. Google Omnibus Vending Machines

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Speaker 1: will pop right up. Yes, we we believe that you

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Speaker 1: can do it listeners. And last night I stayed up

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Speaker 1: quite late to complete an important piece of research for

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Speaker 1: this episode, which was the viewing of Maximum Overdrive, Stephen

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Speaker 1: King's one and only directorial debut debut and directorial career

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Speaker 1: finality Yeah Um, which is a movie about machines coming

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Speaker 1: to life and killing people, mostly a semi trucks, but

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Speaker 1: all kinds of things really, including very early in the beginning,

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Speaker 1: a vending machine that does the one of the most

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Speaker 1: over the top crotch shots I've ever seen can of

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Speaker 1: coke right into this dude's crotch and just spit them

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Speaker 1: out everywhere. And it's a baseball team, like a kid's

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Speaker 1: little league game, and it's just hetting all these kids.

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Speaker 1: So that was all, But I watched the entire movie,

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Speaker 1: even though it was at the beginning. No, I you know,

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Speaker 1: I respect your dedication to the show. Yeah, I have

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Speaker 1: to be thorough in my research. And the episode of

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Speaker 1: Seinfeld also comes to mind when I think of vending machines,

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Speaker 1: when George has so much trouble getting it to accept

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Speaker 1: his dollar bill, and then that mechanic like sal or

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Speaker 1: hell or there's a joke in there about his name,

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Speaker 1: Uh he keeps getting Yeah, yeah, they are. They can

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Speaker 1: be tricky. Also tricky is how I'm completely shocked by

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Speaker 1: how many times I'll have no idea what you're talking

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Speaker 1: about when you embark on a Seinfeld episode description, and

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Speaker 1: by the end of it, I'm like, oh, yeah, I

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Speaker 1: do remember that one. Yes, I go about it in

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Speaker 1: a very like circular way, and I before we get

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Speaker 1: into this, I do have because I usually do have

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Speaker 1: something that makes me pretty angry angry memory attached to this. Okay,

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Speaker 1: I'm going to ask you a question, Lauren. Okay, I'm ready.

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Speaker 1: Say it's a hot day and you really want a

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Speaker 1: Coca Cola. Okay, you go to a vending machine, put

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Speaker 1: in your money, and lo and behold, you get not one,

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Speaker 1: but two Coca colas. Oh, man, what do you do? Well,

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Speaker 1: if I'm hanging out with someone, then I guess I

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Speaker 1: give them a Coca cola. You're fired. This is the

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Speaker 1: question I got in a job application, and I thought

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Speaker 1: it was ridiculous to lie because you were supposed to

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Speaker 1: call the company and reports that you've got an extra

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Speaker 1: Coca cola. And I guess turn it kidding that the

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Speaker 1: number the number of First of all, this is a

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Speaker 1: product that's worth Oh, they can't lose any not a

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Speaker 1: single single profit margin to be lost. Um. I mean,

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Speaker 1: for furthermore, for the amount of times that a vending

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Speaker 1: machine is stolen my money or failed to give me

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Speaker 1: a product, I think it all really washes. See that's

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Speaker 1: what I thought. I didn't get the job because because

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Speaker 1: of the vending machine question. Yeah, well that and there

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Speaker 1: was another one that I thought was really stupid, and

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Speaker 1: I just really thought no one would believe me. No

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Speaker 1: one's going to call the company. So I figured they'd

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Speaker 1: realize I was lying if I said, oh, I'm going

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Speaker 1: to call the company, because it was a multiple choice thing.

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Speaker 1: But I guess I should have just lied, and they

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Speaker 1: would have been like, yeah, lying with the correct thing

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Speaker 1: to do. In this ethics part of our job application. Anyway.

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Speaker 1: That's uh, I still got some some anger about that,

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Speaker 1: but I can I can tell. But but maybe maybe

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Speaker 1: talking a little bit more through this, we'll we'll help

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Speaker 1: we'll help it dissipate. Yeah, I think so, because it's

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Speaker 1: a pretty cool technology. It really is. Yeah, but before

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Speaker 1: we get into why exactly, let's let's get down to

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Speaker 1: the basics. Vending machines. What is it? Hopefully not some

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Speaker 1: alien possessed machine out to kill you and all of

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Speaker 1: your friends at a baseball game. Fingers crussed. Vending is

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Speaker 1: also known as automatic retailing, and it's essentially selling stuff

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Speaker 1: via automated machine. Yeah. You have probably seen these. You know,

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Speaker 1: you put money in that money triggers either a mechanical

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Speaker 1: or electronic reaction that dispenses whatever it is you're trying

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Speaker 1: to purchase. Hopefully yes, in theory, um, many of these

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Speaker 1: machines have some kind of input device to allow you

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Speaker 1: to make a particular selection from within the machine, a

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Speaker 1: pull nub or buttons, keypads, a touch screen maybe in

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Speaker 1: these are modern times, and these machines are commonly stacked

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Speaker 1: with non perishable snacks and beverages as you know, those

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Speaker 1: are the cheapest and easiest to do. Yeah, they lasts

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Speaker 1: the longest. And if we're looking at numbers, each year,

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Speaker 1: the vending machine industry in the US earns about twenty

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Speaker 1: billion with about eight million machines. And this is despite

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Speaker 1: the factile difficult they can be to pay to get

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Speaker 1: them to work, to function properly. Okay, the anger is

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Speaker 1: coming back. Calm down. According to the National Automatic Merchandising

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Speaker 1: Associations one show annually Americans get about seventeen billion snacks

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Speaker 1: from vending machines. About the industry and the tech making

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Speaker 1: it work are worth about forty two billion dollars. Yeah,

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Speaker 1: uh um. If you were shopping around for a vending

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Speaker 1: machine on Amazon, it would run you about three thousand,

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Speaker 1: four hundred dollars. I don't know why I thought they

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Speaker 1: were much more expensive than that, but I guess I assumed.

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Speaker 1: I don't know, they can be if you get like

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Speaker 1: a higher end on those are like twelve thousands are

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Speaker 1: old school ones. Sure, And I know some of you

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Speaker 1: are wondering. All I hope some of you are wondering

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Speaker 1: because I wondered it, possibly because of shark week. Um

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Speaker 1: numbers from the consumer Product Safety Commission suggests that since

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Speaker 1: nineteen vending machines have been behind quote at least thirty

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Speaker 1: seven deaths and thirteen injuries. In contrast, year to year,

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Speaker 1: sharks really only kill about about eleven people, right, And

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Speaker 1: if you're wondering about that shark weakest side, it's because

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Speaker 1: the statistic frequently comes up, like you shouldn't be so

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Speaker 1: afraid of sharks because statistically, coconuts kill eleven times where

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Speaker 1: people are something like ending machines is one of the

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Speaker 1: examples that comes up when you're talking about things that

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Speaker 1: you encounter more frequently that perhaps looking at the numbers,

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Speaker 1: are more dangerous or statistically right. Yes, Also, we do

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Speaker 1: have some hold over um association with Shark's Week from

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Speaker 1: previously being owned and operated by Discovery Corporation. Oh it

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Speaker 1: was a big deal. Oh yeah, oh yeah, like they

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Speaker 1: were cupcakes and yeah, I still have the magnet that

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Speaker 1: says bite me. You know. One of the things my

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Speaker 1: nickname for a while was Shark Week because I made

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Speaker 1: I can't believe I was an intern. I started here

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Speaker 1: as an intern and at the time it was owned

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Speaker 1: by Discovery, and I can't believe to this day they

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Speaker 1: said to intern Annie make the graphic for Shark Week.

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Speaker 1: So the graphic one of the graphics for Shark Week

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Speaker 1: I made. I didn't know what I was doing, and

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Speaker 1: I'm not entirely sure if they ever used it. I

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Speaker 1: heard tell that they did. Hince that that's how I

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Speaker 1: got the nickname. But I was kind of shocked. All right, Well,

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Speaker 1: they gave you a chance. You were really lucky. It

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Speaker 1: didn't give me a chance. Perfect. Yeah, well I hope

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Speaker 1: it was okay. Um, So vending machines have really really

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Speaker 1: branched out. Oh yeah, you can get oysters from vending machines.

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Speaker 1: You can get sushi, cupcakes. Um. Some can need pizza, no,

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Speaker 1: and make you a pizza. Um. Some can cook you pasta.

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Speaker 1: That one is twelve dollars. That one's worth a lot

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Speaker 1: of money. Um. And now, like you can get a

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Speaker 1: lot of things that we're not going to touch on

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Speaker 1: non food related, but you can get cannabis, bait like

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Speaker 1: fishing baitshing bait, and cars. Cars. Yeah, I'm still surprised

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Speaker 1: about the cars. One. I've never I've never been like,

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Speaker 1: oh man, I'm going to go buy a Ferrari from

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Speaker 1: a anyway. What a different life than what we need.

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Speaker 1: That is very true. But I like the bait thing.

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Speaker 1: I like the food that you're catching. You can get

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Speaker 1: food for them from a vending machine, and then they've

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Speaker 1: become food for you. Yeah, it's the circle of bait,

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Speaker 1: the circle of vending machines. Well, God about brings us

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Speaker 1: to the history. Yes, and that history is a lot

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Speaker 1: longer than I suspected. Oh me too. Um, but we

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Speaker 1: will get into that right after you get back from

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Speaker 1: a quick break for a word from our sponsor, and

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Speaker 1: we're back. Thank you, sponsor, Yes, thank you. Yes. So,

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Speaker 1: as we were saying, I'm going to go out on

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Speaker 1: a limb and guess that vending machines are probably older

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Speaker 1: than you think, I'm gonna give you a minute to

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Speaker 1: get an idea in your head. Yeah, pop, pause the

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Speaker 1: podcast if you need to place your bets. If you're

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Speaker 1: listening with other people, Yeah, food, stuff, drinking and game.

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Speaker 1: I'll come back to that idea later. All right, Well,

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Speaker 1: if you guessed first century ce, you winning money, I

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Speaker 1: don't know, ord pride whatever, you definitely win pride, win pride.

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Speaker 1: It's a priceless so congratulations. Um. So this first vending

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Speaker 1: machine dispensed the most holy of foods, holy water, yes,

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Speaker 1: and it was for coins, it wasn't like yeah yeah,

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Speaker 1: And the fellow behind this innovation was one Heron of Alexandria.

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Speaker 1: I also saw a hero of Alexandria. Um. This guy

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Speaker 1: was full of ideas like steam engines, syringes, fire engines,

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Speaker 1: wind power, and a very primitive programmable robot. He was

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Speaker 1: coming up with a lot of He was thinking. He

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Speaker 1: was thinking. He was a thinking man. So here's the

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Speaker 1: problem he wanted to think about. People were taking way

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Speaker 1: too much holy water during worship. Solution, give folks a

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Speaker 1: token to drop into a dispenser and the weight of

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Speaker 1: it pushed on a lever that opened a little door,

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Speaker 1: and that door stayed open long enough to dispense the

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Speaker 1: proper amount of holy water, and then the door closed

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Speaker 1: when the token eventually fell. First machine simple, Yeah it

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Speaker 1: really is, um. So then we wait a thousand years

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Speaker 1: or so, which will will speed up? Yeah, just for you.

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Speaker 1: You don't want to just sit in silence for a

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Speaker 1: pretty long time. That would be weird. Um. So people

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Speaker 1: didn't seem to see any other uses for this vending

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Speaker 1: machine idea other than dispensing the right amount of holy

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Speaker 1: water for quite a bit. It took until three for

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Speaker 1: Percival Everett to patent a device that spit out postcards

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Speaker 1: um and two years later the patent was updated to

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Speaker 1: include stamps so people could send postcards on a Sunday

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Speaker 1: or they could get the stamp for it as um.

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Speaker 1: And another inventor came out with one that dispensed books

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Speaker 1: soon after, and I'm pretty sure he got sued some

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Speaker 1: thing about the rights of the books. I was like,

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Speaker 1: this is a food related move on, but I want

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Speaker 1: to know. A patent for a similar machine was filed

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Speaker 1: earlier in seven in Britain, and even earlier than that,

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Speaker 1: starting around sixteen fifteen, you could find these kind of

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Speaker 1: small brass machines and British taverns that dispensed tobacco. So

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Speaker 1: there were a couple of other things, mostly tobacco vending machines.

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Speaker 1: Holy water before I'm not making any sense, no, no, no,

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Speaker 1: tobacco and holy water. They're on Holy wars. Clearly what

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Speaker 1: the people need. Right after that postcards, Yeah, yeah, send

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Speaker 1: a postcard about all the tobacco. Okay, so yes, after

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Speaker 1: the postcard venning machines. These new venning machines sold mostly cigarettes, tobacco, peanuts,

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Speaker 1: and other small things, usually for a penny each, and

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Speaker 1: a lot of these early machines were on our boxes,

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Speaker 1: meaning a coin would get you access to all of

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Speaker 1: the inventory. But it was an honor system thing, so

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Speaker 1: they trusted that you would only take what you paid

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Speaker 1: for a right right, or it would be one of

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Speaker 1: those little little like like turnkey kind of things that

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Speaker 1: that you would get like a little handful of peanuts

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Speaker 1: or candy out of The first U s patent was

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Speaker 1: filed in eighteen eighty four by W. H. Fruan, and

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Speaker 1: the designs in the patent more for a building shaped device.

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Speaker 1: It looks quite spectacular, honestly, at least in the designs

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Speaker 1: um it worked fairly similarly to Heron's design. The inserted

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Speaker 1: coin leaned against the lever that opened a valve located

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Speaker 1: on the front steps that would then pour liquid into

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Speaker 1: a cup. Unfortunately, in my opinion, this building layout of

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Speaker 1: Frunes never caught on, but it did inspire others to

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Speaker 1: sort of enter the fray um. The first company that

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Speaker 1: service vending machines, Sweetmeat Automatic Delivery Company, debuted in eight seven,

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Speaker 1: and if you're hanging around a New York train station,

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Speaker 1: and you had some spare coin, you could purchase two

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Speaker 1: D fruity gum from vending machines owned by the two

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Speaker 1: D Fruity Automatic Vending Company. They purchased it from someone

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Speaker 1: else and then kind of made it their own thing.

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Speaker 1: And instead of building these vending machines used a delivery slide,

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Speaker 1: very interesting layout. A couple of years later, in Paris,

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Speaker 1: the first beverage of vending machine came out, with beer, wine,

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Speaker 1: and liquor available. Heck yeah, Paris. The first non alcoholic

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Speaker 1: vending machine spends cool water around Coney Island, and I

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Speaker 1: say Coney Island comes up a lot, or at least

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Speaker 1: in recent episodes. All right, we're on a streak. We're

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Speaker 1: on a streak at Coney Island streak. It was around

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Speaker 1: this time that advertisements for vending machines promoted them for

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Speaker 1: use in hospitals, factories, office buildings, schools, possibly for teachers,

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Speaker 1: lounges more than for students, and various transportation centers. Yes,

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Speaker 1: and Philadelphia was home to the first automat in nineteen

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Speaker 1: o two, which was a coin operated automated in theory restaurant.

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Speaker 1: These things accepted nickels only, and were popular among struggling artists.

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Speaker 1: At their highest point in the forties and fifth these

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Speaker 1: automats saw three hundred fifty thousand customers a day. Gumball

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Speaker 1: machines came out in nineteen o seven. Gum machines were

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Speaker 1: an almost immediate success, and they were pretty profitable. And

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Speaker 1: then we get to a shake up in the machine

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Speaker 1: industry and nineteen eleven eighteen vending machine companies Yes eighteen

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Speaker 1: combined to form the Auto Cells, Gum and Chocolate Company.

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Speaker 1: But there was a problem now. Unscrupulous individuals figured out

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Speaker 1: that you could fool these machines with coin knockoffs, sometimes

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Speaker 1: made of wood or metal or my favorite ice. Yeah.

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Speaker 1: Several laws were passed in the US for bidding folks

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Speaker 1: from making objects meant to double as coins. The UK

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Speaker 1: struggled with this as well. A nineteen fourteen court case

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Speaker 1: revealed two hundred metal discs had been used to full

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Speaker 1: vending machines at the Kensington Railway station on the tech Side.

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Speaker 1: Throughout the nineteen ties and forties, machines slowly improved in

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Speaker 1: their ability to sus out a fake. An article appeared

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Speaker 1: in a nine fifties edition of The New York Times

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Speaker 1: quote with the magnets that line the channels. It can

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Speaker 1: also bite a slug or counterfeit and fling it back

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Speaker 1: at a would be chiseler. When the coin is genuine,

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00:17:19,440 --> 00:17:22,760
Speaker 1: the machine goes gratefully into its act. The trip lever

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Speaker 1: spring a lock, either mechanically or by the closing of

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Speaker 1: an electrical circuit, and depending on the kind of commodity,

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Speaker 1: a valve opens and starts pouring liquid, or a single

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Speaker 1: package is dealt gently off the bottom of a vertically

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Speaker 1: stacked deck. So magnets were involved in this cold vending machine.

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Speaker 1: Soda was also available by the nineties, cooled first by

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Speaker 1: ice and then by electricity. At the time, the drink

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Speaker 1: was more likely to be mixed the flavor and carbonated

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Speaker 1: water and then dispensed into a cup, as opposed to

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Speaker 1: getting the already mixed drink in a bottle. Right, Yeah,

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00:17:57,240 --> 00:18:00,800
Speaker 1: these were the preludes to the today machines that we

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Speaker 1: see in like McDonald's in places like that now, where yeah,

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Speaker 1: it's a single machine that just mixes the serpent with

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Speaker 1: the soda. Right. The patent for vending machines equipped with

294
00:18:10,119 --> 00:18:14,600
Speaker 1: entire bottles had been patented in it just wasn't quite

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00:18:14,680 --> 00:18:18,400
Speaker 1: as widespread until later. However, one thing you couldn't get

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00:18:18,440 --> 00:18:23,439
Speaker 1: that dogged the vending machine industry was coffee. Yeah, And

297
00:18:23,480 --> 00:18:27,040
Speaker 1: this innovation didn't truly happen until the late nineties, when

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Speaker 1: vending machines could mix liquid coffee with hot water. But

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Speaker 1: it wasn't really good. No, And in the nineteen sixties,

300
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Speaker 1: the liquid coffee was switched out for pods of roasted

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Speaker 1: coffee grounds, and it's still wasn't really good. Yeah. By

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Speaker 1: the nineties, machines could grind whole beans to order to mix,

303
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Speaker 1: you know, to to to shoot hot water through. But

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Speaker 1: I don't know, yeah, that that kind of like injection

305
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Speaker 1: method of coffee making has never been my favorite. No.

306
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Speaker 1: I feel like it tends to over overburn, like like

307
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Speaker 1: burn the grounds a little bit. That is probably what

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00:19:02,560 --> 00:19:04,680
Speaker 1: I get most from a vending machine, though, because when

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Speaker 1: you're desperate water or coffee, sure, yeah, yeah, definitely water.

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Speaker 1: Probably crackers, I don't know, crackers. And during World War Two,

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00:19:14,240 --> 00:19:17,360
Speaker 1: the American workforce was stretched to the limit, working ten

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Speaker 1: to twelve hour days, and vending machines were seen as

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Speaker 1: a way to provide a quick break for sustenance During

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Speaker 1: these long hours, and they began appearing in more and

315
00:19:24,960 --> 00:19:29,199
Speaker 1: more workplaces, primarily plants and factories, especially as refrigeration and

316
00:19:29,240 --> 00:19:32,600
Speaker 1: heating technology allowed the machines to carry a greater variety

317
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Speaker 1: of products, including fresh stuff like hot and cold sandwiches, milk, juice, fruit,

318
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Speaker 1: and desserts. These machines were sometimes called lunch o mats

319
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Speaker 1: after automats. Between the mid forties and the mid nineteen fifties,

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Speaker 1: vending machines vending machines, spending would double, and then it

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00:19:50,240 --> 00:19:53,440
Speaker 1: would double again by the end of the nineteen fifties.

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Speaker 1: Though note that that includes non food items like cigarettes

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Speaker 1: and pantyhose stuff like that. But it was a huge

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Speaker 1: street worth like one point nine billion dollars a year

325
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Speaker 1: in nineteen fifty six. In nineteen fifty six dollars in

326
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Speaker 1: today's dollars, that's over eighteen billion a year. Wow. Um.

327
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Speaker 1: And this was driving a lot of other changes. Candy

328
00:20:16,640 --> 00:20:20,760
Speaker 1: and snack packaging was being changed to accommodate being put

329
00:20:20,760 --> 00:20:23,639
Speaker 1: through vending machines, and according to an article from Christian

330
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Speaker 1: Science Monitor published in nineteen fifty seven, a fairly dizzying

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Speaker 1: array of foods was becoming available. Quote there are hot

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Speaker 1: meal vendors for food such as Swiss steak, chicken, ala king,

333
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Speaker 1: beef stew, spaghetti and meatballs, macaroni and cheese, meat and chicken,

334
00:20:37,680 --> 00:20:45,440
Speaker 1: pies and baked beans, chicken wing, right steak, heck, and fancy.

335
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Speaker 1: By the nineteen fifties, vending machines were being marketed to

336
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Speaker 1: schools for targeting students. The earliest references to the practice,

337
00:20:54,560 --> 00:20:58,399
Speaker 1: like in popular journalism from the time, include criticism from

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Speaker 1: dentists who were concerned about the sugar content of these

339
00:21:01,760 --> 00:21:06,040
Speaker 1: snacks and drinks and this would become a whole thing

340
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Speaker 1: here in the United States. I can't remember if we

341
00:21:10,400 --> 00:21:12,760
Speaker 1: have any machines in my high school. I don't think

342
00:21:12,760 --> 00:21:14,960
Speaker 1: we we we still we still had them in mind

343
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Speaker 1: for sure. By the sixties, the vending industry was actively

344
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Speaker 1: targeting students and schools. A hundred and seven southern California

345
00:21:22,240 --> 00:21:26,800
Speaker 1: schools switched entirely from cafeterias serving hot meals to having

346
00:21:26,800 --> 00:21:30,199
Speaker 1: banks of vending machines in nineteen sixty four alone. But

347
00:21:30,240 --> 00:21:33,280
Speaker 1: there was pushback, including like government subsidies for serving hot

348
00:21:33,400 --> 00:21:37,440
Speaker 1: lunches and for not allowing competing food choices from stuff

349
00:21:37,480 --> 00:21:41,440
Speaker 1: like vending machines. But in the nineteen seventies, the National

350
00:21:41,440 --> 00:21:44,600
Speaker 1: School Lunch Program was amended to allow schools to place

351
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Speaker 1: vending machines alongside their hot lunches and keep those subsidies,

352
00:21:48,640 --> 00:21:55,040
Speaker 1: which they did, Yes, they did, and yeah, and yeah,

353
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Speaker 1: that's what we have to say about that for now,

354
00:21:57,920 --> 00:22:01,480
Speaker 1: for now, right, but for now, for now, we're gonna

355
00:22:01,480 --> 00:22:04,879
Speaker 1: talk about Japan because the sixties is when vending machines

356
00:22:04,920 --> 00:22:08,000
Speaker 1: really took off in that country, and I I would

357
00:22:08,000 --> 00:22:09,760
Speaker 1: guess that a lot of people do kind of have

358
00:22:09,840 --> 00:22:13,399
Speaker 1: an association think of Japan having a lot of ending machines.

359
00:22:14,000 --> 00:22:16,560
Speaker 1: Um And I certainly when I was there in October,

360
00:22:18,280 --> 00:22:20,280
Speaker 1: there were a lot, and you could get all kinds

361
00:22:20,280 --> 00:22:23,880
Speaker 1: of things. And right today the country has more vending

362
00:22:23,880 --> 00:22:27,480
Speaker 1: machines per capita than anywhere else. Um and I definitely

363
00:22:27,480 --> 00:22:30,240
Speaker 1: have audio of me saying to someone when I was

364
00:22:30,280 --> 00:22:33,040
Speaker 1: in Tokyo, meet me at the vending machines. And I

365
00:22:33,080 --> 00:22:36,720
Speaker 1: know exactly where that was too, I know exactly where.

366
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Speaker 1: But they're like twenty four vending machiness. Get sake, you

367
00:22:40,560 --> 00:22:44,879
Speaker 1: can get a highball. It's beautiful. Yeah. The sixties was

368
00:22:44,920 --> 00:22:48,040
Speaker 1: also when vending machines started taking dollar bills and the

369
00:22:48,080 --> 00:22:51,800
Speaker 1: ink on the bills was read by magnets. Yeah, these machines.

370
00:22:51,880 --> 00:22:55,359
Speaker 1: We were looking for the iron content in the ink,

371
00:22:56,400 --> 00:22:58,960
Speaker 1: which is just so dang clever. I love it. Um. However,

372
00:22:59,280 --> 00:23:02,360
Speaker 1: these machines were foiled by laser printers in the nineteen seventies,

373
00:23:02,400 --> 00:23:05,480
Speaker 1: which could print with ink containing a comparable amount of

374
00:23:05,520 --> 00:23:11,680
Speaker 1: iron laser printer. The sixties also saw machines that could

375
00:23:11,680 --> 00:23:15,200
Speaker 1: exchange coins for dollar bills, and one of the leading

376
00:23:15,240 --> 00:23:18,840
Speaker 1: suppliers of bill accepting devices on vending machines was and

377
00:23:19,000 --> 00:23:24,399
Speaker 1: is still Mars Electronics International, which was originally a subsidiary

378
00:23:24,480 --> 00:23:30,960
Speaker 1: of Mars Candy Company. That's fascinating. Oh yeah, I want

379
00:23:31,000 --> 00:23:33,520
Speaker 1: to do so much more research on that, but for now.

380
00:23:33,960 --> 00:23:36,760
Speaker 1: By the time the eighties rolled around, machines could make

381
00:23:36,840 --> 00:23:39,560
Speaker 1: change for ten dollar bills or twenty dollar bills and

382
00:23:39,760 --> 00:23:42,840
Speaker 1: tell the difference between Treasury Inc. And copyr Inc. Yeah.

383
00:23:42,840 --> 00:23:46,520
Speaker 1: This tech would analyze the actual pattern of distribution of

384
00:23:46,560 --> 00:23:49,240
Speaker 1: the iron particles in the ink, rather than just scanning

385
00:23:49,280 --> 00:23:55,560
Speaker 1: for overall content. I love it. I do too. In right,

386
00:23:55,640 --> 00:23:57,880
Speaker 1: I was trying to invent a vending machine that could

387
00:23:57,880 --> 00:24:02,040
Speaker 1: flash fri fries before your very eyes. It wasn't until

388
00:24:02,920 --> 00:24:06,399
Speaker 1: it started debuting at trade shows, but perhaps someone talked

389
00:24:06,480 --> 00:24:10,119
Speaker 1: them out of it fairly. I think I would agree. Uh.

390
00:24:10,200 --> 00:24:12,600
Speaker 1: They ended up going with machines that used hot air

391
00:24:12,680 --> 00:24:15,560
Speaker 1: cooking techniques as opposed to frying up the potatoes in

392
00:24:15,720 --> 00:24:21,800
Speaker 1: hot oil. I I agree with everything happening there. Vending

393
00:24:21,840 --> 00:24:24,960
Speaker 1: machines started using low resolution cameras that were programmed to

394
00:24:25,000 --> 00:24:27,960
Speaker 1: recognize certain patterns, and if it didn't recognize any of

395
00:24:28,000 --> 00:24:31,360
Speaker 1: the bill was rejected. Hence all the fun angling, turning, flipping,

396
00:24:31,400 --> 00:24:34,760
Speaker 1: smoothing out, praying to whoever you believe in. Before the

397
00:24:34,960 --> 00:24:38,560
Speaker 1: more modern infrared strip was introduced, counterfeiters used to be

398
00:24:38,640 --> 00:24:41,880
Speaker 1: able to get away with turning smaller bills into bigger ones,

399
00:24:41,880 --> 00:24:44,240
Speaker 1: stricking the machine. Yeah yeah, just kind of putting an

400
00:24:44,280 --> 00:24:47,080
Speaker 1: extra num, an extra zero on there. I'm like, well, yeah,

401
00:24:47,080 --> 00:24:50,840
Speaker 1: it's a fifty now, and now I want what fifty peanuts?

402
00:24:50,920 --> 00:24:54,919
Speaker 1: I don't know. Usually the the con would be asking

403
00:24:54,920 --> 00:25:01,760
Speaker 1: it for change. That is much more clever than asking peanuts.

404
00:25:02,320 --> 00:25:06,080
Speaker 1: It depends on your motivation and your your needs and

405
00:25:06,119 --> 00:25:10,960
Speaker 1: wants for that day. It's true. I was thinking, okay,

406
00:25:11,000 --> 00:25:14,040
Speaker 1: I then I sell the M and M peanuts at

407
00:25:14,040 --> 00:25:16,760
Speaker 1: a profit, and I was like, well, who's going to

408
00:25:16,840 --> 00:25:19,560
Speaker 1: buy emin M peanuts for some random person? It makes

409
00:25:19,640 --> 00:25:25,280
Speaker 1: much more sense to just get the change. Other modern

410
00:25:25,320 --> 00:25:28,679
Speaker 1: innovations include an ultraviolet light that detects a small string

411
00:25:28,720 --> 00:25:31,800
Speaker 1: of milar prison in all US bills above two dollars.

412
00:25:31,880 --> 00:25:35,360
Speaker 1: Modern bills are also usually printed, uh partially printed with

413
00:25:35,440 --> 00:25:38,720
Speaker 1: infrared inc which is not is not visible to the

414
00:25:38,800 --> 00:25:40,320
Speaker 1: human eye when you look at the bill, but an

415
00:25:40,320 --> 00:25:43,760
Speaker 1: infrared spectrum camera can can see it. And this is

416
00:25:43,760 --> 00:25:46,560
Speaker 1: a little bit more expensive, I think, more perhaps used

417
00:25:46,560 --> 00:25:50,439
Speaker 1: in Vegas than in your you know, general vending machine.

418
00:25:50,560 --> 00:25:55,320
Speaker 1: But yeah, useful nonetheless, Oh Las Vegas vending machine. Oh goodness,

419
00:25:55,840 --> 00:25:58,600
Speaker 1: I've never been to Vegas. That's a whole other field trip. Yeah,

420
00:25:58,880 --> 00:26:01,679
Speaker 1: and he's making so any faces right now. We have

421
00:26:01,760 --> 00:26:09,919
Speaker 1: to also helpful. Bill sensors do now run off of

422
00:26:09,920 --> 00:26:13,640
Speaker 1: software that can just be updated via like patch like uploads,

423
00:26:13,680 --> 00:26:16,800
Speaker 1: either either from a direct connection to the machine or

424
00:26:17,040 --> 00:26:20,439
Speaker 1: now digitally over the internet. Um so so that you know,

425
00:26:20,600 --> 00:26:23,480
Speaker 1: if a new looking bill comes out, or if a

426
00:26:23,480 --> 00:26:25,600
Speaker 1: bill with new security features comes out, then you don't

427
00:26:25,640 --> 00:26:28,280
Speaker 1: have to like scrap the whole machine create a new

428
00:26:28,320 --> 00:26:33,280
Speaker 1: one and probably obviously, but coins are much easier to

429
00:26:33,320 --> 00:26:36,960
Speaker 1: differentiate for vending machines that quarters have on nineteen ridges

430
00:26:37,320 --> 00:26:39,520
Speaker 1: for instance on the edge, and dimes have one of

431
00:26:39,600 --> 00:26:42,560
Speaker 1: an eighteen ridges. I just love that random fact. I

432
00:26:42,560 --> 00:26:45,240
Speaker 1: thought I would include it. It's a good one. The

433
00:26:45,320 --> 00:26:47,640
Speaker 1: mid two thousands saw the vending machine that could sell

434
00:26:47,800 --> 00:26:50,720
Speaker 1: frozen foods and ice creams, and in two thousand nine

435
00:26:50,720 --> 00:26:54,920
Speaker 1: we get eat Waves, eat Waves, hot, cold, and room

436
00:26:55,000 --> 00:26:58,520
Speaker 1: temperature all in one machine. The way it worked was

437
00:26:58,560 --> 00:27:00,760
Speaker 1: the microwave part was on the attom of the machine,

438
00:27:01,080 --> 00:27:03,720
Speaker 1: separated on the top and bottom by doors so that

439
00:27:03,760 --> 00:27:07,960
Speaker 1: cold items wouldn't be heated, but the door would open

440
00:27:08,240 --> 00:27:09,800
Speaker 1: and then the hot the thing that needed to be

441
00:27:09,840 --> 00:27:12,040
Speaker 1: heated would drop in, and then the bottom door would

442
00:27:12,040 --> 00:27:14,919
Speaker 1: close before it could complete its journey, and then it

443
00:27:14,920 --> 00:27:18,600
Speaker 1: would heat and then the door would open. There you go, huh, yeah, goodness.

444
00:27:19,000 --> 00:27:21,560
Speaker 1: There are about two hundred and fifty in the US

445
00:27:21,640 --> 00:27:28,399
Speaker 1: and they all run you about eight thousand. Yeah. Let's

446
00:27:28,440 --> 00:27:31,760
Speaker 1: Pizza is a machine that can neaed the dough and

447
00:27:31,800 --> 00:27:34,760
Speaker 1: make the pizza. This came out in two thousand three.

448
00:27:35,440 --> 00:27:38,399
Speaker 1: It's five dollars and cents for an eleven inch pizza,

449
00:27:38,480 --> 00:27:41,600
Speaker 1: or that was the suggested retail price at the time

450
00:27:41,640 --> 00:27:46,560
Speaker 1: in two thousand three. I'm assuming, you know, adjusting for inflation. Yeah,

451
00:27:47,000 --> 00:27:49,639
Speaker 1: I don't. I don't think i'd pay that much for

452
00:27:49,640 --> 00:27:52,920
Speaker 1: a vending machine pizza. Maybe once It apparently had windows

453
00:27:52,920 --> 00:27:55,679
Speaker 1: in it so that you could watch cooking, and so

454
00:27:55,720 --> 00:27:58,080
Speaker 1: I think I would. Yeah, I would do it more

455
00:27:58,119 --> 00:28:00,040
Speaker 1: for like the I want to see this happen, and

456
00:28:00,119 --> 00:28:03,240
Speaker 1: then us for the actual It would be intrigued to

457
00:28:03,240 --> 00:28:08,080
Speaker 1: see how it tasted. Oh. Absolutely. Credit Card based vending

458
00:28:08,119 --> 00:28:10,040
Speaker 1: machines came onto the scene in two thousand six. I

459
00:28:10,040 --> 00:28:12,119
Speaker 1: think that is very key because one of the reasons

460
00:28:12,119 --> 00:28:15,480
Speaker 1: I never hardly ever use a vending machine as I

461
00:28:15,560 --> 00:28:18,440
Speaker 1: hardly ever have cash. Yeah. Yeah, the first time that

462
00:28:18,480 --> 00:28:21,359
Speaker 1: I saw one of those, I was, I was, it

463
00:28:21,440 --> 00:28:24,119
Speaker 1: was like fireworks going off in the distance. It was beautiful,

464
00:28:24,119 --> 00:28:26,159
Speaker 1: Like I was just like I can have a water.

465
00:28:26,640 --> 00:28:29,399
Speaker 1: I know, there's nothing well, there are many things that

466
00:28:29,400 --> 00:28:31,439
Speaker 1: are worse, but it's a particularly sad day when you

467
00:28:31,480 --> 00:28:33,879
Speaker 1: really want to water and you don't have the change,

468
00:28:33,880 --> 00:28:36,480
Speaker 1: and the vending machine it's not only right there and

469
00:28:36,520 --> 00:28:43,480
Speaker 1: it's mocking you. In automats became posh again with the

470
00:28:43,560 --> 00:28:47,520
Speaker 1: opening of Itza in San Francisco. This is a digitized

471
00:28:47,520 --> 00:28:50,200
Speaker 1: automatic concept where you you order on an iPad and

472
00:28:50,240 --> 00:28:53,920
Speaker 1: your food is delivered into a cubby where a screen

473
00:28:53,960 --> 00:28:58,479
Speaker 1: displays your name. Huh cool. Yeah, that's still still up

474
00:28:58,480 --> 00:29:03,400
Speaker 1: and running. As of twenty seventeen. There were projects in

475
00:29:03,440 --> 00:29:07,719
Speaker 1: the works to create reverse vending machines to encourage recycling.

476
00:29:08,000 --> 00:29:10,080
Speaker 1: You put your empty bottle in a machine and you

477
00:29:10,120 --> 00:29:14,600
Speaker 1: get back a small cash reward. That's interesting. Yeah, I've

478
00:29:14,600 --> 00:29:17,120
Speaker 1: never seen one of those. I think they're primarily in

479
00:29:17,160 --> 00:29:22,080
Speaker 1: Malaysia right now. Well, that would be why problem number

480
00:29:22,080 --> 00:29:26,840
Speaker 1: one um back to back to schools and vending machines.

481
00:29:27,040 --> 00:29:30,560
Speaker 1: As of the two thousand odds and early teens, some

482
00:29:30,760 --> 00:29:35,280
Speaker 1: seventy of elementary schools, of middle schools, and ent of

483
00:29:35,360 --> 00:29:39,960
Speaker 1: high schools still had food and drink vending machines. However,

484
00:29:40,400 --> 00:29:42,719
Speaker 1: lots of programs are now in place to to encourage

485
00:29:42,720 --> 00:29:46,000
Speaker 1: healthier choices in those machines, like fresh fruits and vegetables,

486
00:29:46,040 --> 00:29:48,960
Speaker 1: especially as research has shown that many students eat a

487
00:29:49,000 --> 00:29:51,760
Speaker 1: majority of their daily CLOrk intake while they're at school,

488
00:29:52,120 --> 00:29:54,880
Speaker 1: and that the content of school vending machines can either

489
00:29:54,920 --> 00:29:58,560
Speaker 1: have a positive or negative impact on students overall diets

490
00:29:58,560 --> 00:30:04,920
Speaker 1: and health, depending on you know, what's in them makes sense. Nowadays,

491
00:30:05,000 --> 00:30:09,520
Speaker 1: developers are looking into facial our, fingerprint recognition, cash list

492
00:30:09,520 --> 00:30:14,240
Speaker 1: payment options, um, other social connectivity. I was reading an example,

493
00:30:14,520 --> 00:30:17,400
Speaker 1: for instance, that if you've got something from one machine

494
00:30:17,720 --> 00:30:20,040
Speaker 1: and you were later at a different machine in a

495
00:30:20,040 --> 00:30:22,360
Speaker 1: different place, but it was connected, they were the same

496
00:30:22,360 --> 00:30:24,280
Speaker 1: company or whatever, it'd be like, hey, I remember you

497
00:30:24,320 --> 00:30:27,360
Speaker 1: got those eminem p nuts last time I got Eminent

498
00:30:27,360 --> 00:30:33,880
Speaker 1: peanuts on the brain. Predictions put of vending machines as

499
00:30:33,920 --> 00:30:38,440
Speaker 1: smart machines, and folks are experimenting with all kinds of

500
00:30:38,480 --> 00:30:41,440
Speaker 1: things here. Some machines will dispense some kind of fan

501
00:30:41,680 --> 00:30:44,880
Speaker 1: prize if you tweet at the machine, Like if you

502
00:30:45,000 --> 00:30:47,520
Speaker 1: use Twitter to interact with the machine, it'll give you

503
00:30:47,600 --> 00:30:51,240
Speaker 1: something bonus. I can I said it right into the

504
00:30:51,240 --> 00:30:59,360
Speaker 1: crutch Stephen King predicted, you know, I guess on a

505
00:30:59,440 --> 00:31:04,680
Speaker 1: on a sly lead different but also dark sort of note. Um,

506
00:31:04,760 --> 00:31:07,840
Speaker 1: so all right, you know, like like there's vending machines

507
00:31:07,880 --> 00:31:11,400
Speaker 1: are part of this sort of trend where we reduce

508
00:31:11,520 --> 00:31:14,680
Speaker 1: the number of human interactions that we have in our

509
00:31:14,840 --> 00:31:18,160
Speaker 1: daily lives. And I think that on a corporate level,

510
00:31:18,240 --> 00:31:20,440
Speaker 1: a lot of that is so that people don't have

511
00:31:20,560 --> 00:31:24,360
Speaker 1: to pay people to stand there and interact with you. Um.

512
00:31:24,400 --> 00:31:27,640
Speaker 1: But it's it's it's a really interesting question on like

513
00:31:27,680 --> 00:31:31,960
Speaker 1: an interpersonal level of how this, how this does in

514
00:31:32,000 --> 00:31:34,800
Speaker 1: our brains, and how it affects our other interactions, and

515
00:31:34,880 --> 00:31:37,800
Speaker 1: whether or not it's a sad thing or a neutral

516
00:31:37,920 --> 00:31:42,400
Speaker 1: thing or totally fine. Um. Have y'all ever seen the

517
00:31:42,520 --> 00:31:45,640
Speaker 1: painting called Automat. I'm not sure I have. It was

518
00:31:45,680 --> 00:31:49,800
Speaker 1: made by one Edward Hopper, and and it depicts a

519
00:31:50,000 --> 00:31:53,800
Speaker 1: woman wearing green coat and a yellow hat, and she's

520
00:31:53,800 --> 00:31:56,840
Speaker 1: sitting alone at a table. Um, it's dark outside, the

521
00:31:56,840 --> 00:31:58,640
Speaker 1: windows are right behind her. Its dark outside, and she's

522
00:31:58,720 --> 00:32:02,000
Speaker 1: kind of just staring into her cup of coffee. And

523
00:32:02,040 --> 00:32:06,240
Speaker 1: it's a sort of melancholy picture. Elaine de Bouton wrote

524
00:32:06,280 --> 00:32:10,280
Speaker 1: for the Tape Museum's journal Tate, Etcetera about it. Automat

525
00:32:10,400 --> 00:32:12,320
Speaker 1: is a picture of sadness, and yet it is not

526
00:32:12,400 --> 00:32:15,000
Speaker 1: a sad picture. Others in the room, maybe on their own,

527
00:32:15,200 --> 00:32:18,400
Speaker 1: men and women drinking coffee by themselves, similarly lost in thought,

528
00:32:18,600 --> 00:32:22,680
Speaker 1: similarly distanced from society a common isolation with the beneficial

529
00:32:22,720 --> 00:32:26,440
Speaker 1: effect of lessening the oppressive sense within any one person

530
00:32:26,760 --> 00:32:32,760
Speaker 1: that they are alone in being alone. I like that. Yeah, uh,

531
00:32:33,200 --> 00:32:35,960
Speaker 1: it kind of reminds me of Um, there's been a

532
00:32:35,960 --> 00:32:39,800
Speaker 1: lot of studies lately. I think that I'm correct in

533
00:32:39,840 --> 00:32:43,520
Speaker 1: saying a lot um on the new trend of people

534
00:32:44,240 --> 00:32:48,440
Speaker 1: eating by themselves and finding it more acceptable, because it

535
00:32:48,560 --> 00:32:52,520
Speaker 1: used to be you're maybe embarrassed to show about restaurant,

536
00:32:52,560 --> 00:32:56,800
Speaker 1: say table for one, but now now people are doing

537
00:32:56,800 --> 00:33:00,120
Speaker 1: that more frequently. And it is a strange sensation when

538
00:33:00,120 --> 00:33:03,520
Speaker 1: you look around and you're surrounded by people, but you

539
00:33:03,680 --> 00:33:08,160
Speaker 1: feel quite alone. Um. And yeah, usually they're on their

540
00:33:08,200 --> 00:33:13,040
Speaker 1: phones or there's something they are occupied in some way

541
00:33:13,080 --> 00:33:15,480
Speaker 1: that feels very cut off and distant from you. Sure. Yeah,

542
00:33:15,560 --> 00:33:16,800
Speaker 1: yeah they have a they have a book or a

543
00:33:16,800 --> 00:33:21,720
Speaker 1: magazine or yeah, they're you know, but jeweled whatever it is. Yeah,

544
00:33:21,760 --> 00:33:26,480
Speaker 1: I'm actually kind of shy and I will avoid contact.

545
00:33:26,600 --> 00:33:29,719
Speaker 1: Oh yeah, if I'm just out by myself. Yeah. So

546
00:33:29,920 --> 00:33:32,440
Speaker 1: I'm a person that if if we're looking at this painting,

547
00:33:32,440 --> 00:33:35,080
Speaker 1: I will take the option where I probably won't interact

548
00:33:35,160 --> 00:33:37,160
Speaker 1: with people over the one that I will, and I

549
00:33:37,160 --> 00:33:39,160
Speaker 1: do love interacting with people, and I don't want that

550
00:33:39,240 --> 00:33:42,040
Speaker 1: to go away. But I think our lives have become

551
00:33:42,120 --> 00:33:46,920
Speaker 1: very fast paced. And I want a shirt that says

552
00:33:47,080 --> 00:33:52,360
Speaker 1: it's just my face because so many people assume I'm

553
00:33:52,520 --> 00:33:57,160
Speaker 1: upset or sad or whatever. But that's like, just what's

554
00:33:57,160 --> 00:34:01,400
Speaker 1: going on with the face, just your Oh that's that

555
00:34:01,520 --> 00:34:03,760
Speaker 1: is terrific. I'm writing that down for you right now.

556
00:34:03,880 --> 00:34:06,959
Speaker 1: Thank you. I guess I don't no one, no one

557
00:34:07,000 --> 00:34:09,239
Speaker 1: has ever said that to me when I hadn't like

558
00:34:09,600 --> 00:34:13,600
Speaker 1: just been crying. Yeah, I get that all the time.

559
00:34:13,640 --> 00:34:21,360
Speaker 1: My own mother told me that I look unapproachable. She

560
00:34:21,440 --> 00:34:24,600
Speaker 1: was probably just looking out for you. Yeah, she said

561
00:34:24,600 --> 00:34:28,600
Speaker 1: it in a very kind way. I believe you well.

562
00:34:29,600 --> 00:34:33,320
Speaker 1: Um My roommate once got called out as an extra

563
00:34:33,440 --> 00:34:35,640
Speaker 1: on a film for smiling in the background of what

564
00:34:35,680 --> 00:34:38,840
Speaker 1: was supposed to be a serious shot, and the director

565
00:34:38,920 --> 00:34:41,520
Speaker 1: was like, was like, you stop smiling, and he was like,

566
00:34:41,560 --> 00:34:45,080
Speaker 1: it's just my face, my face, I just look jovial.

567
00:34:46,040 --> 00:34:49,120
Speaker 1: I get help it. Why did you cast me in

568
00:34:49,280 --> 00:34:54,400
Speaker 1: the background for this? I do wanna um One story

569
00:34:54,400 --> 00:34:57,759
Speaker 1: I do want to share that I think kind of

570
00:34:57,880 --> 00:35:02,240
Speaker 1: is the flip side of this is um my family

571
00:35:02,280 --> 00:35:04,080
Speaker 1: We did not vacation much when I was a kid

572
00:35:04,480 --> 00:35:09,120
Speaker 1: at all. We went on one family vacation to Washington,

573
00:35:09,200 --> 00:35:11,319
Speaker 1: d C. And I was in fourth grades of like

574
00:35:11,360 --> 00:35:14,000
Speaker 1: nine years old. We called ourselves the Lumpkin Bumpkins. We

575
00:35:14,000 --> 00:35:19,839
Speaker 1: were from Lumpkin County, UM, and I remember being we

576
00:35:19,840 --> 00:35:24,520
Speaker 1: were all at vending machines, but it was for the

577
00:35:24,719 --> 00:35:27,719
Speaker 1: Washington d C. The Metro, so it wasn't food, but

578
00:35:27,760 --> 00:35:31,759
Speaker 1: they were like vending token machines. We could not get

579
00:35:31,840 --> 00:35:37,120
Speaker 1: them to work. Our train is approaching, my parents are panicking.

580
00:35:37,560 --> 00:35:39,680
Speaker 1: We're all looking around, like what do we do? What

581
00:35:39,680 --> 00:35:43,839
Speaker 1: do we do? And my dad said forget it, and

582
00:35:43,880 --> 00:35:49,440
Speaker 1: he just like ran and jumped over the turnstile and

583
00:35:49,440 --> 00:35:52,320
Speaker 1: we all looked at each other and we're like, okay,

584
00:35:52,680 --> 00:35:55,400
Speaker 1: we all jumped over. And it was kind of a bonding,

585
00:35:55,960 --> 00:36:00,840
Speaker 1: a bonding moment over these our inability to get the

586
00:36:00,960 --> 00:36:05,720
Speaker 1: vending machines to work. Yeah, and like in like minor

587
00:36:05,960 --> 00:36:09,680
Speaker 1: like petty crime. Yeah, probably tonight I'll hear a knock

588
00:36:09,719 --> 00:36:13,160
Speaker 1: on my door. That would be amazing because as we record,

589
00:36:13,160 --> 00:36:16,000
Speaker 1: it's gonna be like a week before it comes out. Yeah,

590
00:36:16,120 --> 00:36:21,240
Speaker 1: they're listening all the time. Those Washington d C Transit.

591
00:36:22,680 --> 00:36:25,760
Speaker 1: They've been waiting for me to spill the beans for years.

592
00:36:25,840 --> 00:36:29,120
Speaker 1: They have those those Metro officials. I've been tapping all

593
00:36:29,160 --> 00:36:32,880
Speaker 1: of our podcasts waiting for this confession. They knew I'd

594
00:36:32,920 --> 00:36:36,160
Speaker 1: eventually give in. This more or less brings us to

595
00:36:36,239 --> 00:36:41,200
Speaker 1: the end of our tales of vending machines. We do

596
00:36:41,280 --> 00:36:44,239
Speaker 1: have some confessions from a couple of listeners. We do, um,

597
00:36:44,280 --> 00:36:46,400
Speaker 1: But first we've got one more quick break for a

598
00:36:46,400 --> 00:37:00,279
Speaker 1: word from our sponsor, and we're back. Thank you, sponsor, Yes,

599
00:37:00,320 --> 00:37:09,040
Speaker 1: thank you, and it's time for you lost me immediately

600
00:37:09,080 --> 00:37:12,799
Speaker 1: on that one. You didn't read my robot. I saw

601
00:37:12,800 --> 00:37:15,799
Speaker 1: it happening, and you're like, God, no, I was just

602
00:37:16,120 --> 00:37:19,640
Speaker 1: stunned by the beauty of it. Also, yeah, we might

603
00:37:19,640 --> 00:37:26,319
Speaker 1: have just killed producer Dylan finally found his weakness. Did

604
00:37:26,480 --> 00:37:33,560
Speaker 1: robot dance root poorly? Is the way to to incapacitate

605
00:37:33,600 --> 00:37:38,600
Speaker 1: Producer Dylan? Good to know for future reference. It is alright.

606
00:37:38,800 --> 00:37:42,399
Speaker 1: This first letter is from Jenny, who sent in a

607
00:37:42,440 --> 00:37:45,680
Speaker 1: recipe that she thought I, since I am obsessed with

608
00:37:45,680 --> 00:37:48,520
Speaker 1: peanut butter, that I might like to try. In high school,

609
00:37:48,560 --> 00:37:51,319
Speaker 1: I had a friend named Ben whose parents had divorced

610
00:37:51,480 --> 00:37:53,640
Speaker 1: when they were going through the divorce. During his childhood,

611
00:37:53,760 --> 00:37:55,680
Speaker 1: he would go to his grandmother's house after school rather

612
00:37:55,719 --> 00:37:58,960
Speaker 1: than go home. His grandmother would make him his favorite

613
00:37:58,960 --> 00:38:02,160
Speaker 1: sandwich and they would watch what Ben called the Smart

614
00:38:02,239 --> 00:38:06,400
Speaker 1: Lady show a k murder. She wrote, Yeah, the smart

615
00:38:06,440 --> 00:38:09,600
Speaker 1: Lady always figured out who did it. The sandwich was

616
00:38:09,680 --> 00:38:12,120
Speaker 1: something Ben swore was delicious, but most of his friends

617
00:38:12,120 --> 00:38:17,839
Speaker 1: were skeptical of the fluffer nutrito, a peanut butter and

618
00:38:18,000 --> 00:38:21,480
Speaker 1: marshmallow fluff sandwich with a layer of nacho cheese doritos

619
00:38:21,640 --> 00:38:25,600
Speaker 1: tucked between inside and between the fillings. Despite the fact

620
00:38:25,640 --> 00:38:28,759
Speaker 1: I thought it sounded terrible, Ben eventually convinced me to

621
00:38:28,800 --> 00:38:32,040
Speaker 1: try one, and it actually was pretty good. The nacho

622
00:38:32,120 --> 00:38:34,279
Speaker 1: cheese powder on the chips gets sort of trapped by

623
00:38:34,280 --> 00:38:36,720
Speaker 1: the peanut butter and fluff, so you can't really taste

624
00:38:36,719 --> 00:38:39,319
Speaker 1: that at all. You just get the delightful crunch from

625
00:38:39,320 --> 00:38:43,680
Speaker 1: the chips along with the soft sweetness of the fluffer nutter. Aside,

626
00:38:43,840 --> 00:38:47,440
Speaker 1: interesting that you have to have nacho cheese ones if

627
00:38:47,520 --> 00:38:51,279
Speaker 1: you can't taste it. Yes, I mean maybe in the

628
00:38:51,360 --> 00:38:54,000
Speaker 1: chance that you can taste it. We have discussed this before.

629
00:38:54,080 --> 00:38:57,200
Speaker 1: Cheese and peanut butter is a pretty good Yeah. Oh,

630
00:38:57,239 --> 00:38:59,120
Speaker 1: I want to try this now. I think we can

631
00:38:59,160 --> 00:39:02,399
Speaker 1: make that happen. All right, and back to the letter

632
00:39:02,560 --> 00:39:05,359
Speaker 1: she wrote, speaking of weird cotton candy flavors. I saw

633
00:39:05,400 --> 00:39:08,600
Speaker 1: some epic ones in a steam punk themed restaurant in

634
00:39:08,719 --> 00:39:12,840
Speaker 1: Orlando last year, including Key Lampie, PBNJ and even absent

635
00:39:13,000 --> 00:39:16,759
Speaker 1: absolute cotton candy. Oh, I want that now that you

636
00:39:16,800 --> 00:39:19,839
Speaker 1: mention it, I think I know exactly where she's talking about. Yeah.

637
00:39:19,880 --> 00:39:22,920
Speaker 1: I think we saw it at New Universal Universal and

638
00:39:22,960 --> 00:39:26,839
Speaker 1: we mentioned it in the Willie Wonk episode. All Right,

639
00:39:27,040 --> 00:39:31,040
Speaker 1: we'll doly noted, Aaron wrote, just finished listening to your

640
00:39:31,040 --> 00:39:33,480
Speaker 1: podcast on Daker's and thought you might be interested to

641
00:39:33,520 --> 00:39:37,239
Speaker 1: hear about the traditional New Orleans deck checks. These local

642
00:39:37,320 --> 00:39:40,760
Speaker 1: establishments are just another wonderfully weird part of this amazing city.

643
00:39:41,040 --> 00:39:42,880
Speaker 1: If you've had the thought driving home from work that

644
00:39:42,960 --> 00:39:45,000
Speaker 1: you need to take a d t O, you can

645
00:39:45,000 --> 00:39:46,759
Speaker 1: pull through the drive through of one of these little

646
00:39:46,760 --> 00:39:49,839
Speaker 1: shops and order your frozen dacorie to go. And as

647
00:39:49,840 --> 00:39:52,279
Speaker 1: long as you keep that little paper straw piece on

648
00:39:52,480 --> 00:39:55,160
Speaker 1: or don't put a straw in the lid, it counts

649
00:39:55,239 --> 00:39:58,520
Speaker 1: as a closed container. Most places have a dozen or

650
00:39:58,560 --> 00:40:00,960
Speaker 1: more flavors so that you cannot we enjoy a traditional

651
00:40:00,960 --> 00:40:04,320
Speaker 1: strawberry dhachi, but also everything from mud slides or peaches

652
00:40:04,360 --> 00:40:07,960
Speaker 1: and cream to jungle juice and anything in between. And

653
00:40:08,080 --> 00:40:09,960
Speaker 1: if you're really in the mood or want to spice

654
00:40:10,000 --> 00:40:12,160
Speaker 1: up your summer picnic, you can always have them fill

655
00:40:12,239 --> 00:40:15,239
Speaker 1: up a gallon milk jug of your desired flavor. Just

656
00:40:15,320 --> 00:40:21,480
Speaker 1: another interesting iteration on a classic cocktail. I that, yeah,

657
00:40:21,680 --> 00:40:28,520
Speaker 1: that we're both stunned. Annie is speechless at the thought

658
00:40:28,560 --> 00:40:33,160
Speaker 1: of a gallon milk jug filled up with with Dacieri mix. Yeah,

659
00:40:33,200 --> 00:40:36,040
Speaker 1: that's a lot of jackery. A lot of people wrote

660
00:40:36,080 --> 00:40:39,000
Speaker 1: in about this. And there's a place I go to

661
00:40:39,239 --> 00:40:42,200
Speaker 1: once a year um near Gulf Shore's, Alabama, and they

662
00:40:42,239 --> 00:40:45,880
Speaker 1: make this drink called a bush whacker, and it's basically

663
00:40:45,920 --> 00:40:49,359
Speaker 1: a a less sweet mud slide. I would call it that.

664
00:40:49,840 --> 00:40:55,680
Speaker 1: And there's a place near where we stay that sells them,

665
00:40:55,719 --> 00:40:57,480
Speaker 1: and I always think I would love to take one

666
00:40:57,480 --> 00:40:59,919
Speaker 1: of these with me home. I'm not going to drink

667
00:41:00,120 --> 00:41:03,920
Speaker 1: in the car while you're driving. Sure, Yeah, I totally understand.

668
00:41:03,960 --> 00:41:06,400
Speaker 1: I understand why it's both a very risky thing and

669
00:41:06,440 --> 00:41:08,279
Speaker 1: also a thing that I would like to have the

670
00:41:08,280 --> 00:41:12,439
Speaker 1: option to do. It's a tough one, but I mean

671
00:41:13,880 --> 00:41:18,160
Speaker 1: a gallon a gallon. It's quite a bit of dachary,

672
00:41:18,320 --> 00:41:21,320
Speaker 1: that really is, especially because I assume that they're relatively

673
00:41:21,320 --> 00:41:26,080
Speaker 1: on the sweet side. I'm going to agree with that assumption. Um.

674
00:41:26,120 --> 00:41:28,919
Speaker 1: But yeah, as you guys may have heard where, we're

675
00:41:29,000 --> 00:41:31,360
Speaker 1: going to be traveling a little bit more often here

676
00:41:31,360 --> 00:41:34,160
Speaker 1: here on food stuff. So um, we took our first

677
00:41:34,280 --> 00:41:36,719
Speaker 1: an extremely successful trip to Asheville. Thank you so much

678
00:41:36,719 --> 00:41:39,000
Speaker 1: to everyone who wrote in with the suggestions of where

679
00:41:39,080 --> 00:41:41,520
Speaker 1: to go. We went to a bunch of those places

680
00:41:42,080 --> 00:41:45,520
Speaker 1: and um, and New Orleans is definitely on our short list. Yeah,

681
00:41:45,600 --> 00:41:47,920
Speaker 1: we're kind of waiting for the heat exactly as soon

682
00:41:47,960 --> 00:41:50,759
Speaker 1: as the weather cools off just a little bit. We

683
00:41:50,760 --> 00:41:54,040
Speaker 1: were like, no, second week of July, New Orleans, let's

684
00:41:54,080 --> 00:41:59,040
Speaker 1: go a little north somewhere a little cooler. Yeah. Um yeah,

685
00:41:59,160 --> 00:42:02,399
Speaker 1: So keep send in recommendations of where do you think

686
00:42:02,400 --> 00:42:04,439
Speaker 1: we should go? Where do you think we should eat

687
00:42:04,480 --> 00:42:09,359
Speaker 1: in those places? Yeah? Yes, it's cities, cities, places within cities. Yeah,

688
00:42:09,440 --> 00:42:11,399
Speaker 1: let us know, yes, let us know. And you can

689
00:42:11,440 --> 00:42:14,880
Speaker 1: do that multiple wise, one of them being email or

690
00:42:14,960 --> 00:42:17,160
Speaker 1: email is food Stuff at house to Works dot com.

691
00:42:17,239 --> 00:42:19,279
Speaker 1: We're also on social media. You can find us on

692
00:42:19,280 --> 00:42:22,480
Speaker 1: Facebook and Twitter at food Stuff hs W and on

693
00:42:22,520 --> 00:42:25,560
Speaker 1: Instagram at food Stuff. We do hope to hear from you.

694
00:42:25,880 --> 00:42:29,279
Speaker 1: Thank you as always to our superproducer Dylan Fagan, who

695
00:42:29,320 --> 00:42:32,400
Speaker 1: may or may not be an agent of the d

696
00:42:32,520 --> 00:42:35,799
Speaker 1: C Metro Police, you might be booked as soon as

697
00:42:35,800 --> 00:42:38,279
Speaker 1: you walk out of this room. Anny, Well, you'll have

698
00:42:38,320 --> 00:42:43,400
Speaker 1: to get me out of this room first. Thanks to

699
00:42:43,440 --> 00:42:45,279
Speaker 1: you for listening, and we hope that lots wor good

700
00:42:45,320 --> 00:42:48,239
Speaker 1: things are coming your way