1 00:00:03,040 --> 00:00:05,280 Speaker 1: Welcome to Stuff to Blow Your Mind, the production of 2 00:00:05,360 --> 00:00:14,160 Speaker 1: My Heart Radio. Hey you welcome to Stuff to Blow 3 00:00:14,200 --> 00:00:17,440 Speaker 1: your Mind. My name is Robert Lamb and I'm Joe McCormick. 4 00:00:17,520 --> 00:00:20,239 Speaker 1: And to introduce today's topic, I wanted to start off 5 00:00:20,280 --> 00:00:23,080 Speaker 1: by referring to a news article that I found from 6 00:00:23,200 --> 00:00:25,680 Speaker 1: last year. So this is a local news article from 7 00:00:25,720 --> 00:00:30,520 Speaker 1: the Santa Clara, California area from March. Remember remember that 8 00:00:30,840 --> 00:00:33,120 Speaker 1: scary time back when there was a lot of panic 9 00:00:33,240 --> 00:00:36,600 Speaker 1: buying going on because COVID was just starting to dawn 10 00:00:36,640 --> 00:00:39,680 Speaker 1: on people and suddenly everybody was like, oh, yeah, okay, 11 00:00:39,720 --> 00:00:41,520 Speaker 1: we gotta stock up. We don't know when we're gonna 12 00:00:41,520 --> 00:00:44,440 Speaker 1: be leaving the house, and so forth. And so this 13 00:00:44,560 --> 00:00:47,400 Speaker 1: article is referring to the fact that there were long 14 00:00:47,479 --> 00:00:52,080 Speaker 1: lines at the cost Co in Santa Clara, California in March. 15 00:00:53,520 --> 00:00:55,880 Speaker 1: And one element of the story that I thought was 16 00:00:56,040 --> 00:01:00,320 Speaker 1: very interesting was that the Santa Clarita Valley Sheriff Station 17 00:01:01,040 --> 00:01:05,280 Speaker 1: was on Twitter at some point begging people not to 18 00:01:05,400 --> 00:01:08,400 Speaker 1: call nine one one because of people cutting in front 19 00:01:08,440 --> 00:01:11,640 Speaker 1: of them in line. Their tweet read, please don't call 20 00:01:11,760 --> 00:01:13,880 Speaker 1: nine one one because people are cutting in front of 21 00:01:13,920 --> 00:01:16,080 Speaker 1: you at line at the store. It ties up valuable 22 00:01:16,120 --> 00:01:19,880 Speaker 1: resources for real emergencies. But the funny thing is that 23 00:01:19,920 --> 00:01:21,520 Speaker 1: you would have to say this at all. I mean, 24 00:01:21,600 --> 00:01:24,600 Speaker 1: it seems kind of obvious to me that somebody cutting 25 00:01:24,600 --> 00:01:26,480 Speaker 1: in front of you in line at the store is 26 00:01:26,560 --> 00:01:29,800 Speaker 1: very rude. But this is not a police matter. But 27 00:01:29,920 --> 00:01:33,600 Speaker 1: I've noticed a lot of you know, informal reports and 28 00:01:33,720 --> 00:01:37,399 Speaker 1: uh and and even in kind of a recurring theme 29 00:01:37,520 --> 00:01:42,000 Speaker 1: of don't be this person viral videos online lately is 30 00:01:42,360 --> 00:01:46,039 Speaker 1: people calling the cops on someone allegedly cutting in front 31 00:01:46,080 --> 00:01:48,240 Speaker 1: of them at the drive through line at burger King 32 00:01:48,400 --> 00:01:52,160 Speaker 1: or something like that. And it makes me wonder, why 33 00:01:52,360 --> 00:01:55,800 Speaker 1: would it be common for people to believe that cutting 34 00:01:55,880 --> 00:01:59,400 Speaker 1: in line at a customer service point is a crime 35 00:01:59,680 --> 00:02:02,920 Speaker 1: on a level that merrits the summoning of armed officers 36 00:02:02,920 --> 00:02:06,880 Speaker 1: of the law. Well, I guess we we should point 37 00:02:06,880 --> 00:02:10,400 Speaker 1: out that if if there is a situation where one 38 00:02:10,880 --> 00:02:14,080 Speaker 1: party or even two parties are sort of violating the 39 00:02:14,200 --> 00:02:17,359 Speaker 1: you know, the social norms of of lines and waiting 40 00:02:17,360 --> 00:02:21,080 Speaker 1: in line, that itself may not be a crime, but 41 00:02:21,120 --> 00:02:26,240 Speaker 1: you could imagine where the resulting dynamics could rise to 42 00:02:26,320 --> 00:02:28,520 Speaker 1: the point of a crime. I mean, if if if 43 00:02:28,520 --> 00:02:31,799 Speaker 1: it becomes an aggressive enough encounter, you know, then it 44 00:02:31,800 --> 00:02:34,080 Speaker 1: it could rise to the level of threats and assaults. 45 00:02:34,120 --> 00:02:37,000 Speaker 1: So it's not to say that it's an it's something 46 00:02:37,040 --> 00:02:39,320 Speaker 1: that's in an entire separate universe and could never rub 47 00:02:39,400 --> 00:02:44,799 Speaker 1: up against those those real criminal um activities. But yeah, 48 00:02:44,840 --> 00:02:47,480 Speaker 1: did the mere act of someone just like jumping ahead 49 00:02:47,480 --> 00:02:50,160 Speaker 1: of you in line, uh and and not acknowledging you 50 00:02:50,840 --> 00:02:53,280 Speaker 1: like that that does that is certainly not a police matter. 51 00:02:53,400 --> 00:02:57,079 Speaker 1: Police have better things to do than get called about that, right, 52 00:02:57,120 --> 00:03:00,000 Speaker 1: But it's funny that at least some people in two 53 00:03:00,000 --> 00:03:03,440 Speaker 1: watively think of the idea that somebody allegedly cut in 54 00:03:03,480 --> 00:03:05,639 Speaker 1: front of them in line at at at a customer 55 00:03:05,680 --> 00:03:09,120 Speaker 1: service situation is on the level of being you know, 56 00:03:09,240 --> 00:03:11,680 Speaker 1: robbed at gunpoint or something that you need to get 57 00:03:11,720 --> 00:03:15,560 Speaker 1: the cops here about this. But you see people react 58 00:03:15,960 --> 00:03:20,840 Speaker 1: very um alarmingly at times. Oh yeah, for instance, okay, 59 00:03:20,840 --> 00:03:23,120 Speaker 1: so so right before this podcast, and I got some 60 00:03:23,160 --> 00:03:26,440 Speaker 1: coffee and there was no line to order the coffee, 61 00:03:26,480 --> 00:03:28,280 Speaker 1: but there was a line to wait on the coffee, 62 00:03:28,639 --> 00:03:30,680 Speaker 1: which was an interesting experience I'll get back to, but 63 00:03:30,919 --> 00:03:34,920 Speaker 1: it reminds me of a very recent, uh experience I 64 00:03:34,960 --> 00:03:37,800 Speaker 1: had at a coffee shop at an airport where there 65 00:03:37,840 --> 00:03:39,400 Speaker 1: was a line to get the coffee, and then there 66 00:03:39,440 --> 00:03:42,920 Speaker 1: was a long wait to receive the coffee. And I 67 00:03:43,120 --> 00:03:46,559 Speaker 1: everybody's wearing a masks at the at the coffee establishment, 68 00:03:46,840 --> 00:03:49,520 Speaker 1: so it's it's extra difficult to hear what people were saying. 69 00:03:50,000 --> 00:03:51,960 Speaker 1: And I had one of those moments where I thought 70 00:03:52,280 --> 00:03:55,640 Speaker 1: my name was called my last name and I and 71 00:03:55,680 --> 00:03:58,200 Speaker 1: I went forward and I almost touched the bag of 72 00:03:58,320 --> 00:04:02,160 Speaker 1: someone else's order, and it was it was this older 73 00:04:02,200 --> 00:04:05,000 Speaker 1: couple and um, and I was like, oh, I'm sorry. 74 00:04:05,000 --> 00:04:08,920 Speaker 1: I thought they said lamb and the the uh the 75 00:04:08,960 --> 00:04:11,520 Speaker 1: wife of the of the husband and wife pair here. 76 00:04:11,960 --> 00:04:13,720 Speaker 1: She was like, oh, that's all right, it happens all 77 00:04:13,760 --> 00:04:18,120 Speaker 1: the time, and the and you know, that's that's that's reasonably. 78 00:04:18,240 --> 00:04:19,880 Speaker 1: She was like, oh, that's happened to us. But the 79 00:04:20,520 --> 00:04:24,200 Speaker 1: man he was, he was angry and he like grabbed 80 00:04:24,200 --> 00:04:25,919 Speaker 1: it and he was like making evils at me, like 81 00:04:25,960 --> 00:04:28,359 Speaker 1: I was trying to steal his food. And as he 82 00:04:28,400 --> 00:04:30,600 Speaker 1: marched off, trying to remember what was it he was saying, 83 00:04:30,600 --> 00:04:33,560 Speaker 1: he was not saying good day, sir. He was saying oh, 84 00:04:33,600 --> 00:04:35,960 Speaker 1: he was saying bye bye. He was he was like 85 00:04:36,080 --> 00:04:38,360 Speaker 1: spitefully saying bye bye to me, which is something I 86 00:04:38,400 --> 00:04:41,840 Speaker 1: had never heard before. I've never heard bye bye used 87 00:04:41,839 --> 00:04:46,159 Speaker 1: as a so aggressively. But it was a very weird experience. 88 00:04:46,640 --> 00:04:48,320 Speaker 1: And I guess if I'm going to try and put 89 00:04:48,400 --> 00:04:52,159 Speaker 1: myself in in in his shoes, if he thought that 90 00:04:52,200 --> 00:04:55,040 Speaker 1: I was actually trying to to break in line and 91 00:04:55,080 --> 00:04:59,080 Speaker 1: just randomly steal whatever food and coffee he had ordered, um, 92 00:04:59,320 --> 00:05:01,360 Speaker 1: then it's kind It's kind of like cutting in line 93 00:05:01,400 --> 00:05:04,400 Speaker 1: can be equated to theft, like if everybody's in a 94 00:05:04,400 --> 00:05:06,520 Speaker 1: line to get the same thing at a store, like 95 00:05:06,680 --> 00:05:09,640 Speaker 1: it's a lemonade stand, they only sell the lemonade. If 96 00:05:09,640 --> 00:05:12,080 Speaker 1: someone cuts in front of me, then they are on 97 00:05:12,120 --> 00:05:16,280 Speaker 1: some level stealing my lemonade. I don't know. It's amazing 98 00:05:16,360 --> 00:05:20,120 Speaker 1: that even at the level of remove of you describing 99 00:05:20,240 --> 00:05:25,279 Speaker 1: an experience that you almost had but didn't. I felt 100 00:05:25,279 --> 00:05:28,040 Speaker 1: the dragon flies, you know, a light in my stomach, 101 00:05:28,279 --> 00:05:32,080 Speaker 1: Like it was just just just terror at the idea 102 00:05:32,080 --> 00:05:34,440 Speaker 1: of such a faux paw right, I mean, because I 103 00:05:34,440 --> 00:05:37,080 Speaker 1: guess it does gollustrate two different energies like we we 104 00:05:37,520 --> 00:05:39,320 Speaker 1: I think a lot of us, if not most of us, 105 00:05:39,600 --> 00:05:44,200 Speaker 1: have that fear of transgressing the social norm of standing 106 00:05:44,200 --> 00:05:46,839 Speaker 1: in line and waiting on food and service. But on 107 00:05:46,880 --> 00:05:50,159 Speaker 1: the other hand, uh, you know, sometimes we're we're extra 108 00:05:50,760 --> 00:05:54,880 Speaker 1: on guard against violators of those social norms, so it 109 00:05:54,920 --> 00:05:58,559 Speaker 1: can create very weird and uneven energy. Yeah, the idea 110 00:05:58,600 --> 00:06:02,480 Speaker 1: of accidentally cutting in line is just horrifying to me, 111 00:06:02,560 --> 00:06:05,800 Speaker 1: Like the idea that I might do that is enough 112 00:06:05,839 --> 00:06:08,360 Speaker 1: to to cause that panic, like I'm about to you know, 113 00:06:08,640 --> 00:06:10,840 Speaker 1: go on stage and speak in public or something that 114 00:06:11,560 --> 00:06:15,159 Speaker 1: level of of apprehension. And I think we saw probably 115 00:06:15,200 --> 00:06:17,200 Speaker 1: a lot of this during the pandemic because a lot 116 00:06:17,240 --> 00:06:20,240 Speaker 1: of places that depended more on interior spaces had to 117 00:06:20,279 --> 00:06:23,960 Speaker 1: suddenly depend on exterior spaces, which means lines that might 118 00:06:24,000 --> 00:06:28,159 Speaker 1: be better managed in an entirely indoors or in partially 119 00:06:28,160 --> 00:06:33,279 Speaker 1: partially indoors environment were suddenly left to exist entirely outside 120 00:06:33,279 --> 00:06:35,919 Speaker 1: the establishment. And I've seen cases of this where like, 121 00:06:36,000 --> 00:06:39,480 Speaker 1: clearly this was not what was intended. So the the 122 00:06:39,520 --> 00:06:44,120 Speaker 1: resulting line situation is maybe more confusing or counterintuitive, and 123 00:06:44,200 --> 00:06:47,880 Speaker 1: people fall you know, show up and fall into it 124 00:06:48,040 --> 00:06:50,920 Speaker 1: and and maybe like miss where they're supposed to stand, 125 00:06:51,120 --> 00:06:57,200 Speaker 1: creates confusion, creates more opportunity for misunderstandings. So what we're 126 00:06:57,200 --> 00:06:59,920 Speaker 1: observing is that at least among lots of people, there 127 00:07:00,080 --> 00:07:06,000 Speaker 1: is a deep, powerful commitment to upholding the norms of 128 00:07:06,040 --> 00:07:09,800 Speaker 1: the single file, first come, first serve line for all 129 00:07:09,840 --> 00:07:14,200 Speaker 1: different kinds of UH services and access to things. And 130 00:07:14,280 --> 00:07:18,240 Speaker 1: when you observe this level of commitment to a norm, 131 00:07:18,240 --> 00:07:20,600 Speaker 1: I think it's very easy to assume that maybe lining 132 00:07:20,680 --> 00:07:23,680 Speaker 1: up single file for your turn at something is a deep, 133 00:07:23,760 --> 00:07:28,400 Speaker 1: almost biologically mandated behavior that goes back as far as 134 00:07:28,440 --> 00:07:32,520 Speaker 1: recorded history and as universal across cultures. But you should 135 00:07:32,520 --> 00:07:36,160 Speaker 1: always be cautious about drawing conclusions like that, because it 136 00:07:36,200 --> 00:07:38,840 Speaker 1: turns out, in the case of the single file, first come, 137 00:07:38,880 --> 00:07:42,840 Speaker 1: first serve line, this is absolutely not the case. There 138 00:07:42,840 --> 00:07:45,880 Speaker 1: are a lot of fascinating features of of waiting in line, 139 00:07:46,000 --> 00:07:48,080 Speaker 1: or queueing as it's more often referred to in the 140 00:07:48,120 --> 00:07:51,240 Speaker 1: scientific literature UH, and we'll get into more of those 141 00:07:51,280 --> 00:07:53,320 Speaker 1: as as we discussed this topic for the next couple 142 00:07:53,400 --> 00:07:56,240 Speaker 1: of episodes. But one of the fascinating things is that 143 00:07:56,480 --> 00:08:01,360 Speaker 1: queuing is to a large extent, historically and culturally contingent. 144 00:08:01,840 --> 00:08:04,720 Speaker 1: Not everybody gets in line for things, and even in 145 00:08:04,800 --> 00:08:09,239 Speaker 1: cultures where we do we haven't always done it that way. Yeah, 146 00:08:09,640 --> 00:08:12,360 Speaker 1: Queuing is it's it's a pretty interesting phenomenon because on 147 00:08:12,360 --> 00:08:14,920 Speaker 1: one level, we often see this behavior as a means 148 00:08:14,960 --> 00:08:18,960 Speaker 1: of self organizing, sometimes via non human directions such as 149 00:08:18,960 --> 00:08:21,440 Speaker 1: signs or ropes. There's not you know, there's not a 150 00:08:21,440 --> 00:08:22,920 Speaker 1: person there to yell at you if you get out 151 00:08:22,920 --> 00:08:24,880 Speaker 1: of line. Other times there is a person there to 152 00:08:25,040 --> 00:08:27,880 Speaker 1: yell at you, um, and such as with say T 153 00:08:28,080 --> 00:08:31,120 Speaker 1: s A. Agents who you know they're doing an important job, 154 00:08:31,520 --> 00:08:34,000 Speaker 1: but a lot of times they're not shy about raising 155 00:08:34,000 --> 00:08:37,320 Speaker 1: their voice. Uh. And other times it's just out of 156 00:08:37,360 --> 00:08:40,079 Speaker 1: necessity in cases where there are no rules, but there 157 00:08:40,160 --> 00:08:42,720 Speaker 1: is a social pressure to form a queue of some sort, 158 00:08:43,080 --> 00:08:45,400 Speaker 1: you know, where people realize like there's no there's nothing 159 00:08:45,400 --> 00:08:47,840 Speaker 1: to indicate how we should line up in order to 160 00:08:48,720 --> 00:08:51,079 Speaker 1: to enter an establishment or get up to the register, 161 00:08:51,400 --> 00:08:54,000 Speaker 1: So people just figure it out on their own, sometimes poorly, 162 00:08:54,320 --> 00:08:57,760 Speaker 1: sometimes with like the line going completely across the sidewalk 163 00:08:57,880 --> 00:09:00,320 Speaker 1: so that people can't cut through. Things like that, And 164 00:09:00,320 --> 00:09:02,199 Speaker 1: then oftentimes you see someone having to come out and say, 165 00:09:02,240 --> 00:09:04,040 Speaker 1: let's actually make the line go against the side of 166 00:09:04,040 --> 00:09:07,240 Speaker 1: the building, et cetera. Yeah, but I think one thing 167 00:09:07,280 --> 00:09:09,880 Speaker 1: that's pretty amazing about lines is that if you're in, 168 00:09:10,160 --> 00:09:13,120 Speaker 1: if you're in culturated in lines, if queuing is a 169 00:09:13,120 --> 00:09:16,560 Speaker 1: part of your culture and your upbringing, it's amazing how 170 00:09:17,400 --> 00:09:22,160 Speaker 1: regularly people spontaneously organized into lines and how little problem 171 00:09:22,280 --> 00:09:25,040 Speaker 1: they have with it overall. Yeah, I mean, and ultimately 172 00:09:25,080 --> 00:09:28,199 Speaker 1: comes down to a basic reality. Some come first by 173 00:09:28,280 --> 00:09:32,240 Speaker 1: necessity in order to assure everyone proceeds, and a lot 174 00:09:32,280 --> 00:09:34,760 Speaker 1: of times that is a first come, first serve situation. 175 00:09:34,880 --> 00:09:38,600 Speaker 1: Whoever is first gets to stand in line first. Um, 176 00:09:38,640 --> 00:09:42,160 Speaker 1: and it just avoids chaos, right Yeah. But of course, 177 00:09:42,200 --> 00:09:45,920 Speaker 1: while queuing can seem very fair and democratic, though though 178 00:09:45,920 --> 00:09:47,800 Speaker 1: in the in the UK it was, it was even 179 00:09:47,800 --> 00:09:50,360 Speaker 1: accused of it was accused of being a product of socialism. 180 00:09:50,400 --> 00:09:52,840 Speaker 1: I found an interesting paper about that. Maybe we'll get 181 00:09:52,880 --> 00:09:56,400 Speaker 1: into that more later. Um, we have no shortage of 182 00:09:56,400 --> 00:09:59,600 Speaker 1: ways to make queuing less of an even a fair 183 00:10:00,280 --> 00:10:04,480 Speaker 1: Various rules always seem to exist to allow people to legally, 184 00:10:04,960 --> 00:10:07,680 Speaker 1: you know, within the social contract, to legally break line, 185 00:10:07,920 --> 00:10:11,520 Speaker 1: to form separate lines, faster lines, etcetera. So it can 186 00:10:11,520 --> 00:10:13,920 Speaker 1: often depend on where you are in the line and 187 00:10:13,960 --> 00:10:16,240 Speaker 1: who you were and who you are in the line, 188 00:10:16,760 --> 00:10:20,600 Speaker 1: what you're waiting for, etcetera. Uh. To determine exactly how 189 00:10:20,640 --> 00:10:24,640 Speaker 1: fair this whole system seems, though, I find something that's 190 00:10:24,679 --> 00:10:29,840 Speaker 1: interesting is that if there are standing line breaking mechanics 191 00:10:29,840 --> 00:10:34,280 Speaker 1: in place, uh, those mechanics are often hidden from view 192 00:10:34,400 --> 00:10:37,439 Speaker 1: in one way or another. Like the institution that has 193 00:10:37,559 --> 00:10:41,120 Speaker 1: the line that that allows some kind of organized line 194 00:10:41,160 --> 00:10:44,640 Speaker 1: breaking for preferred waiters. Uh, Like they try to keep 195 00:10:44,640 --> 00:10:47,520 Speaker 1: it sort of separate so people don't see somebody just 196 00:10:47,559 --> 00:10:50,120 Speaker 1: cutting straight in front of everybody else. But but not 197 00:10:50,200 --> 00:10:53,120 Speaker 1: at the airport, um, you know, because it's basically like, 198 00:10:53,160 --> 00:10:54,880 Speaker 1: all right, do we have any babies, Okay, let's get 199 00:10:54,880 --> 00:10:58,040 Speaker 1: some babies on board. Okay, how about old people, soldiers? Okay, 200 00:10:58,160 --> 00:11:00,720 Speaker 1: rich people? Do you have any rich people in the group? 201 00:11:00,760 --> 00:11:04,040 Speaker 1: You know? It's it's it. It's not how they do it, obviously, 202 00:11:04,080 --> 00:11:06,800 Speaker 1: but but sometimes they can smack of that, especially if 203 00:11:06,840 --> 00:11:11,040 Speaker 1: you were in like loading group, you know, thirteen or whatever. Um, 204 00:11:11,080 --> 00:11:13,000 Speaker 1: I guess there's no way to hide it. If it's 205 00:11:13,000 --> 00:11:15,960 Speaker 1: an airplane, there's just this one access point. Everybody's waiting 206 00:11:16,000 --> 00:11:18,839 Speaker 1: in the same place. But when it's possible, I think 207 00:11:18,840 --> 00:11:20,640 Speaker 1: a lot of places really do like to keep it 208 00:11:20,760 --> 00:11:23,720 Speaker 1: keep it sort of out of you in some way. Yeah, 209 00:11:23,760 --> 00:11:25,880 Speaker 1: I will say at airports I've been to, they'll often 210 00:11:26,240 --> 00:11:27,559 Speaker 1: have to have it set up. So the t S 211 00:11:27,600 --> 00:11:30,840 Speaker 1: A pre check line, uh is is maybe it's maybe 212 00:11:30,880 --> 00:11:32,400 Speaker 1: like a little less obvious, but at the same time, 213 00:11:32,720 --> 00:11:34,520 Speaker 1: like something like the t S A pre check line 214 00:11:34,960 --> 00:11:38,120 Speaker 1: is something they want, well, they want participants to take 215 00:11:38,120 --> 00:11:40,000 Speaker 1: advantage off. So you don't want to ride it completely. 216 00:11:40,360 --> 00:11:42,040 Speaker 1: Uh So I kind of like with your fast pass 217 00:11:42,160 --> 00:11:45,520 Speaker 1: at an amusement park. You don't want it to make 218 00:11:45,559 --> 00:11:47,120 Speaker 1: you don't want to make everyone miserable, but you do 219 00:11:47,160 --> 00:11:49,800 Speaker 1: want to sell fast passes. Um So, I guess you 220 00:11:49,800 --> 00:11:52,360 Speaker 1: don't want to sell exclusively fast passes. So, but I 221 00:11:52,360 --> 00:11:55,199 Speaker 1: imagine that's worked out in the uh in the price 222 00:11:55,320 --> 00:11:57,920 Speaker 1: gauge and all. Have you ever read the stuff about 223 00:11:57,960 --> 00:12:00,480 Speaker 1: the the alleged I mean, I I don't know this 224 00:12:00,520 --> 00:12:02,800 Speaker 1: is true for sure, but it is at least alleged 225 00:12:03,080 --> 00:12:07,200 Speaker 1: that some amusement parks think of wait times not just 226 00:12:07,520 --> 00:12:10,959 Speaker 1: as something that's necessary, you know, because everybody can't ride 227 00:12:10,960 --> 00:12:13,439 Speaker 1: the roller coaster at the same time, but also as 228 00:12:13,480 --> 00:12:18,679 Speaker 1: something that extends the perceived value of what there is 229 00:12:18,720 --> 00:12:20,959 Speaker 1: to do at the amusement park because if you could 230 00:12:21,040 --> 00:12:23,920 Speaker 1: just ride every roller coaster in order, you know what, 231 00:12:24,200 --> 00:12:26,240 Speaker 1: You've got like an hour of fun there, and then 232 00:12:26,480 --> 00:12:28,679 Speaker 1: then there's nothing else to do. You've already done everything. 233 00:12:29,160 --> 00:12:31,800 Speaker 1: So by having people wait in line for things, that's 234 00:12:31,840 --> 00:12:34,439 Speaker 1: not only a necessity, it also allows you to stretch 235 00:12:34,559 --> 00:12:37,079 Speaker 1: out the perception of having fun over the course of 236 00:12:37,120 --> 00:12:39,440 Speaker 1: an entire day. So people are like, Wow, I got 237 00:12:39,440 --> 00:12:42,120 Speaker 1: to do this all day. It was really great. Huh yeah, 238 00:12:42,200 --> 00:12:44,720 Speaker 1: I don't know. Um. I mean the thing about amusement 239 00:12:44,800 --> 00:12:46,640 Speaker 1: from for my money, I don't want to go from 240 00:12:46,720 --> 00:12:48,920 Speaker 1: roller coaster to roller coaster because that will make me sick. 241 00:12:49,000 --> 00:12:52,240 Speaker 1: I need some time to settle down. I also kind 242 00:12:52,240 --> 00:12:55,480 Speaker 1: of like a certain amount of anticipation building up to 243 00:12:55,640 --> 00:12:58,920 Speaker 1: the ride, and some rides you're nicer. Amusement parks tend 244 00:12:58,960 --> 00:13:00,920 Speaker 1: to do a really good job of making your your 245 00:13:00,960 --> 00:13:04,720 Speaker 1: way more pleasant, uh you know, or or out there. 246 00:13:04,880 --> 00:13:07,880 Speaker 1: Another specific example I'll point out is the nether World 247 00:13:08,080 --> 00:13:13,160 Speaker 1: Haunted attraction here in the Atlanta area. Uh. Often you'll 248 00:13:13,200 --> 00:13:14,800 Speaker 1: be a long line, there'll be some sort of fast 249 00:13:14,800 --> 00:13:19,199 Speaker 1: PAS scenario, but you'll end up going through a museum 250 00:13:19,240 --> 00:13:23,800 Speaker 1: of the haunted attraction as part of the line waiting experience, 251 00:13:23,800 --> 00:13:26,439 Speaker 1: which is that kind of thing I really appreciate, um, 252 00:13:26,480 --> 00:13:29,520 Speaker 1: you know, where it makes the line a little more 253 00:13:29,600 --> 00:13:31,839 Speaker 1: part of the experience and not just this dull thing 254 00:13:31,880 --> 00:13:35,120 Speaker 1: you're doing in order to have the experience. Yeah. I 255 00:13:35,160 --> 00:13:37,280 Speaker 1: have not been to a lot of amusement parks. Uh, 256 00:13:37,480 --> 00:13:39,480 Speaker 1: maybe not any as an adult that I can remember. 257 00:13:39,520 --> 00:13:41,080 Speaker 1: I don't know, maybe maybe I'll think of an exception, 258 00:13:41,120 --> 00:13:44,120 Speaker 1: but I remember as a child going like Universal Studios, Florida, 259 00:13:44,160 --> 00:13:46,440 Speaker 1: and one thing that that they did something like that, 260 00:13:46,480 --> 00:13:49,320 Speaker 1: They're We're saying, you're waiting in line for the Jaws ride, 261 00:13:49,360 --> 00:13:51,600 Speaker 1: and they've got a kind of backstory for you. So 262 00:13:51,640 --> 00:13:54,720 Speaker 1: they've got TVs playing things that set up the ride. 263 00:13:54,720 --> 00:13:56,360 Speaker 1: And I think something similar was true of like the 264 00:13:56,360 --> 00:13:59,480 Speaker 1: Back to the Future ride, Like the ride has a 265 00:13:59,600 --> 00:14:02,880 Speaker 1: back story and as you're going through the line, you're 266 00:14:02,920 --> 00:14:08,440 Speaker 1: watching TV stations playing various segments of the back story. Yeah. Now, 267 00:14:08,520 --> 00:14:11,160 Speaker 1: it's interesting with both the Haunted attraction and the amusement 268 00:14:11,160 --> 00:14:14,679 Speaker 1: park ride. Essentially these are examples of especially with the 269 00:14:14,720 --> 00:14:17,240 Speaker 1: Hunted attraction, you're standing in line to walk through in 270 00:14:17,280 --> 00:14:20,280 Speaker 1: a line, and in the case of the ride, you're 271 00:14:20,320 --> 00:14:22,120 Speaker 1: standing in line to go in a circle and then 272 00:14:22,200 --> 00:14:25,360 Speaker 1: leave and continue your line out of the the exhibit. 273 00:14:25,560 --> 00:14:27,320 Speaker 1: But a lot of times we're talking about standing in 274 00:14:27,360 --> 00:14:31,080 Speaker 1: line for resources. Uh. And and this this got me thinking. 275 00:14:31,120 --> 00:14:32,880 Speaker 1: I was looking around a little bit of the animal world, 276 00:14:32,920 --> 00:14:36,720 Speaker 1: and you'll you'll often read something about something like queuing 277 00:14:36,840 --> 00:14:40,720 Speaker 1: in terms of dominance among social animals. For instance, I 278 00:14:40,720 --> 00:14:43,960 Speaker 1: was reading to account about how some baboons, Uh, there's 279 00:14:44,000 --> 00:14:46,720 Speaker 1: something with some with baboons, there's something like queuing that 280 00:14:46,760 --> 00:14:49,240 Speaker 1: has arrived at after food is discovered, and it's something 281 00:14:49,280 --> 00:14:52,320 Speaker 1: that's governed by the dominant primate in the group. So 282 00:14:52,360 --> 00:14:54,800 Speaker 1: it's not a very fair system of queuing by most 283 00:14:54,880 --> 00:14:57,960 Speaker 1: human standards, but it is a system and it prevents 284 00:14:58,000 --> 00:15:02,240 Speaker 1: the need for overt conflict and strug goal amid these individuals. Right. 285 00:15:02,360 --> 00:15:05,720 Speaker 1: So it's important to make a distinction because anytime you 286 00:15:05,760 --> 00:15:08,360 Speaker 1: have multiple people trying to get access to the same 287 00:15:08,440 --> 00:15:10,360 Speaker 1: thing and they can't all access that at the same time, 288 00:15:10,360 --> 00:15:14,440 Speaker 1: you've got to have some system for ordering access. But 289 00:15:14,800 --> 00:15:17,040 Speaker 1: what we're talking about when we say waiting in line 290 00:15:17,200 --> 00:15:23,360 Speaker 1: is almost always understood to mean the relatively egalitarian, first come, 291 00:15:23,440 --> 00:15:26,840 Speaker 1: first serve, single file line, which is very which is 292 00:15:26,920 --> 00:15:29,640 Speaker 1: very different than what the baboons are doing. Yeah, and 293 00:15:29,960 --> 00:15:32,200 Speaker 1: oh man, we haven't even got into the spacing of lines, 294 00:15:33,040 --> 00:15:34,880 Speaker 1: which of course has become certainly more of a thing 295 00:15:34,920 --> 00:15:38,640 Speaker 1: during pandemic times. Uh, sometimes obeyed as part of the 296 00:15:38,640 --> 00:15:43,240 Speaker 1: social norm, sometimes disturbingly ignored. Uh. But prior to the 297 00:15:43,240 --> 00:15:44,920 Speaker 1: pandemic you at least saw it with A T M 298 00:15:45,000 --> 00:15:47,880 Speaker 1: S where there was this kind of agreed upon social 299 00:15:48,480 --> 00:15:51,280 Speaker 1: contract that if you were waiting in line behind me 300 00:15:51,320 --> 00:15:52,800 Speaker 1: at the A t M and I'm at the A 301 00:15:52,840 --> 00:15:54,880 Speaker 1: t M, you will like stand back a certain amount 302 00:15:55,320 --> 00:15:58,080 Speaker 1: us it would be impolite, if not threatening, to stand 303 00:15:58,080 --> 00:16:00,840 Speaker 1: too close to me during this transaction. What's that line 304 00:16:00,920 --> 00:16:03,480 Speaker 1: from the SNL song The Creep? I think it's something 305 00:16:03,520 --> 00:16:05,440 Speaker 1: like when you want to make a friend at the 306 00:16:05,520 --> 00:16:08,120 Speaker 1: A T M do the creep? Oh yeah, where they're 307 00:16:08,120 --> 00:16:10,480 Speaker 1: all dressed like John Waters, and I believe John Waters 308 00:16:10,480 --> 00:16:13,640 Speaker 1: makes an appearance in that. Yeah, But the point being 309 00:16:13,680 --> 00:16:17,760 Speaker 1: you don't approach people too closely at the A t M. Yeah. Um. 310 00:16:17,880 --> 00:16:20,080 Speaker 1: Now this is kind of a stretch, but I admit, 311 00:16:20,200 --> 00:16:22,760 Speaker 1: but this got me thinking about another key example of 312 00:16:22,800 --> 00:16:26,400 Speaker 1: line formation among humans, not the vertical lines of cues 313 00:16:26,520 --> 00:16:29,320 Speaker 1: or people following a path, but the horizontal lines of 314 00:16:29,400 --> 00:16:33,440 Speaker 1: rank and file armed combatants. Uh, the sort of ordered 315 00:16:33,480 --> 00:16:35,840 Speaker 1: approach to the movement and action of human beings that 316 00:16:35,880 --> 00:16:39,440 Speaker 1: has been vitally important in the history of warfare, because 317 00:16:39,480 --> 00:16:42,280 Speaker 1: on one level, it's entirely unlike forming a line to 318 00:16:42,360 --> 00:16:44,000 Speaker 1: use an a t M or to get buy a 319 00:16:44,000 --> 00:16:46,520 Speaker 1: hot dog, et cetera. But there is also a sense 320 00:16:46,680 --> 00:16:48,720 Speaker 1: of it there as well. I think if you, you know, 321 00:16:48,720 --> 00:16:51,080 Speaker 1: if you sort of open your mind and compare the 322 00:16:51,120 --> 00:16:54,600 Speaker 1: two where a discipline system is in place to ensure 323 00:16:54,840 --> 00:16:57,800 Speaker 1: peak performance of the group, benefiting the whole group but 324 00:16:57,880 --> 00:17:00,680 Speaker 1: also the individuals within the group. You know what I'm say, Oh, 325 00:17:00,720 --> 00:17:02,880 Speaker 1: I see that comparison. Did you bring this up because 326 00:17:02,920 --> 00:17:06,080 Speaker 1: you've been reading that blog about military history and analyzing 327 00:17:06,080 --> 00:17:10,440 Speaker 1: Tolkien that you sent me? Yes, it is no, no, no, 328 00:17:10,480 --> 00:17:12,280 Speaker 1: that that's really good because one of the things you 329 00:17:12,320 --> 00:17:14,400 Speaker 1: sent me was an article or at least a quote 330 00:17:14,440 --> 00:17:17,639 Speaker 1: about how the thing you see with medieval style or 331 00:17:17,680 --> 00:17:21,160 Speaker 1: ancient style battles in movies where it's just an all 332 00:17:21,200 --> 00:17:23,679 Speaker 1: out melee, you know, free for all, or everybody's just 333 00:17:24,119 --> 00:17:27,800 Speaker 1: fighting random combatants in whatever order it seems to occur 334 00:17:27,880 --> 00:17:29,960 Speaker 1: to them that this is not at least how battles 335 00:17:29,960 --> 00:17:33,040 Speaker 1: were supposed to go in in ancient combat, where you'd 336 00:17:33,280 --> 00:17:36,439 Speaker 1: be using spears or swords handheld weapons. I mean that 337 00:17:36,640 --> 00:17:39,359 Speaker 1: in most cases you want to be fighting in formation 338 00:17:39,600 --> 00:17:42,560 Speaker 1: or you're losing. Yeah. That that blog is a collection 339 00:17:42,600 --> 00:17:47,880 Speaker 1: of unmitigated pedantry by military historian Bret C. Devereaux. And yeah, 340 00:17:47,880 --> 00:17:50,560 Speaker 1: he makes the point where if if it's broken out 341 00:17:50,640 --> 00:17:53,760 Speaker 1: into just chaotic melee, uh, that means the battle has 342 00:17:53,800 --> 00:17:56,399 Speaker 1: already gone poorly. And if if you're if you're you know, 343 00:17:56,440 --> 00:17:58,320 Speaker 1: you may have already lost at that point, you probably 344 00:17:58,320 --> 00:18:00,960 Speaker 1: have already lost. But if you if you're gonna win, 345 00:18:01,200 --> 00:18:04,120 Speaker 1: then you haven't broke rank. Like the winners don't break rank, 346 00:18:04,200 --> 00:18:07,080 Speaker 1: they stick together and stay in formation. And I think 347 00:18:07,119 --> 00:18:09,080 Speaker 1: the same is true of standing in line. Like if 348 00:18:09,080 --> 00:18:13,080 Speaker 1: people start breaking rank, if people start panicking, then then 349 00:18:13,080 --> 00:18:15,159 Speaker 1: it's all over. Like nobody gets to use the A T. 350 00:18:15,280 --> 00:18:17,919 Speaker 1: M machine if this order breaks down, nobody gets to 351 00:18:17,960 --> 00:18:20,240 Speaker 1: buy a hot dog or a cup of coffee, nobody 352 00:18:20,240 --> 00:18:22,640 Speaker 1: gets to board the plane. Yeah, of course, so nobody 353 00:18:22,760 --> 00:18:25,399 Speaker 1: enjoys waiting in line. But you've got to acknowledge that 354 00:18:25,480 --> 00:18:27,840 Speaker 1: waiting in a first come, first serve line for the 355 00:18:27,880 --> 00:18:30,080 Speaker 1: A t M is much better than using the shoving 356 00:18:30,119 --> 00:18:32,840 Speaker 1: to the front method. Yeah, I guess unless you're really 357 00:18:32,840 --> 00:18:35,399 Speaker 1: good at shoving. But to be serious for a minute, 358 00:18:35,400 --> 00:18:37,399 Speaker 1: if you already use the shoving to the front method 359 00:18:37,440 --> 00:18:39,040 Speaker 1: and you do actually get to the A t M, 360 00:18:39,080 --> 00:18:42,360 Speaker 1: what happens to you once you get your cash? I mean, 361 00:18:43,040 --> 00:18:45,120 Speaker 1: this is a recurring problem. I think if you don't 362 00:18:45,160 --> 00:18:48,119 Speaker 1: have a well organized system for for getting people access 363 00:18:48,160 --> 00:18:51,359 Speaker 1: to service points. Yeah, if you totally dismantle the social 364 00:18:51,359 --> 00:18:53,159 Speaker 1: norms leading up to the A t M, then what 365 00:18:53,280 --> 00:18:55,879 Speaker 1: about the rest of the social norms surrounding the whole experience? 366 00:18:56,200 --> 00:18:58,680 Speaker 1: Though I do want to say that this doesn't necessarily 367 00:18:58,680 --> 00:19:02,359 Speaker 1: mean that the the single file, first come, first serve 368 00:19:02,440 --> 00:19:05,520 Speaker 1: line is the only way to organize access to things. 369 00:19:05,520 --> 00:19:07,840 Speaker 1: There are other ways that people have come up with 370 00:19:07,880 --> 00:19:11,159 Speaker 1: sort of social rules for organizing access. This is just 371 00:19:11,240 --> 00:19:13,399 Speaker 1: a very common one in the modern world, in the 372 00:19:13,400 --> 00:19:22,280 Speaker 1: Western world, especially thank thank thank Now. I was wondering 373 00:19:22,280 --> 00:19:25,680 Speaker 1: about a question which was how much of our lives 374 00:19:25,800 --> 00:19:29,119 Speaker 1: do we on average spend waiting in line? And I 375 00:19:29,160 --> 00:19:32,440 Speaker 1: had some trouble finding a really solid, well reasoned answer 376 00:19:32,480 --> 00:19:34,720 Speaker 1: to this. But there is one thing, at least the 377 00:19:34,760 --> 00:19:37,720 Speaker 1: closest thing I've come across, which I found in an 378 00:19:37,800 --> 00:19:42,000 Speaker 1: article by Anna Swanson called what really drives you crazy 379 00:19:42,080 --> 00:19:45,160 Speaker 1: about waiting in line? It actually isn't the weight at all. 380 00:19:45,160 --> 00:19:48,720 Speaker 1: This was published in the Washington Post, and for this article, 381 00:19:48,760 --> 00:19:52,880 Speaker 1: Swanson interviews Richard Larson, who is a professor who studies 382 00:19:53,240 --> 00:19:56,080 Speaker 1: queuing theory at m i T. That's actually an area 383 00:19:56,119 --> 00:19:58,439 Speaker 1: of study. Now, it's a little bit broader than just 384 00:19:58,560 --> 00:20:01,080 Speaker 1: people standing in per person on their feet in a 385 00:20:01,119 --> 00:20:04,399 Speaker 1: single file line. It's more about like about like ordering 386 00:20:04,480 --> 00:20:07,439 Speaker 1: access to things, and they're all kinds of mathematical theories 387 00:20:07,480 --> 00:20:11,159 Speaker 1: about how to maximize efficiency in systems that use various 388 00:20:11,160 --> 00:20:14,000 Speaker 1: forms of queueing and so forth, and so Larsen studies 389 00:20:14,080 --> 00:20:18,639 Speaker 1: that type of thing. But Larson estimates that quote altogether 390 00:20:18,840 --> 00:20:22,040 Speaker 1: some people spend a year or two of their lives 391 00:20:22,119 --> 00:20:25,240 Speaker 1: waiting in line. Now, a big note here is that 392 00:20:25,320 --> 00:20:27,680 Speaker 1: the some people is about the best you can do there, 393 00:20:27,720 --> 00:20:30,040 Speaker 1: because the amount of time people spend waiting in line 394 00:20:30,040 --> 00:20:33,480 Speaker 1: will have enormous variants depending on what culture you live in, 395 00:20:33,560 --> 00:20:35,720 Speaker 1: what kind of business you do, whether you live in 396 00:20:35,760 --> 00:20:39,560 Speaker 1: a city or in the country, etcetera. But for this 397 00:20:39,680 --> 00:20:42,399 Speaker 1: common guess of one to two years, how would you 398 00:20:42,520 --> 00:20:45,800 Speaker 1: arrive at that? Well, Larson's research makes him think that 399 00:20:45,880 --> 00:20:49,040 Speaker 1: for many Americans at least the majority of their Q 400 00:20:49,280 --> 00:20:54,199 Speaker 1: time is actually spent waiting in traffic congestion, which is 401 00:20:54,240 --> 00:20:56,960 Speaker 1: interesting because I wouldn't have thought about traffic as a 402 00:20:57,000 --> 00:20:59,720 Speaker 1: form of waiting in line. But I guess by almost 403 00:20:59,760 --> 00:21:03,560 Speaker 1: every way of defining it, really it is. Yeah. I mean, 404 00:21:03,600 --> 00:21:05,400 Speaker 1: we may not think about it as much, but we are, 405 00:21:06,080 --> 00:21:10,000 Speaker 1: you know, proceeding in lines. And granted there are varied lines, 406 00:21:10,000 --> 00:21:13,199 Speaker 1: there's a certain amount of cutting in line that is, 407 00:21:13,440 --> 00:21:15,920 Speaker 1: that is very much part of the legal process. Though 408 00:21:15,960 --> 00:21:19,399 Speaker 1: you do see breakdowns in this where it becomes super obvious, 409 00:21:19,440 --> 00:21:22,439 Speaker 1: you know, where like say, situations where a lane is 410 00:21:22,480 --> 00:21:26,320 Speaker 1: closed ahead and everyone needs to merge to the right, 411 00:21:27,080 --> 00:21:28,800 Speaker 1: and you'll have some people that are like, Nope, I'm 412 00:21:28,800 --> 00:21:31,240 Speaker 1: going to go as far in the left lane as possible, 413 00:21:31,680 --> 00:21:34,720 Speaker 1: and then I shall insist on being let into the 414 00:21:34,760 --> 00:21:37,520 Speaker 1: appropriate lane. Stuff like that. That'll, at least I know 415 00:21:37,560 --> 00:21:41,000 Speaker 1: it in me, it'll raise the accusation of of line cutter. 416 00:21:41,119 --> 00:21:43,840 Speaker 1: You know, I'll be you know, I won't actually shake 417 00:21:43,880 --> 00:21:45,760 Speaker 1: my fist or anything. But I'm inside, are we thinking 418 00:21:45,840 --> 00:21:48,439 Speaker 1: that person? They are no good? They are they are 419 00:21:48,480 --> 00:21:52,120 Speaker 1: breaking the rules here. So in practice I hate it too, 420 00:21:52,200 --> 00:21:55,280 Speaker 1: But I have a terrible piece of wisdom on the 421 00:21:55,320 --> 00:21:58,040 Speaker 1: subject that I'm sure we'll cause your polite and orderly 422 00:21:58,080 --> 00:22:00,920 Speaker 1: mind to revolt, but I have to share it. So 423 00:22:01,359 --> 00:22:06,520 Speaker 1: among experts who study traffic queuing, the late merge is 424 00:22:06,680 --> 00:22:11,040 Speaker 1: widely considered to be superior to the early merge. Basically, 425 00:22:11,080 --> 00:22:13,840 Speaker 1: the thinking is that, if say a two lane highway 426 00:22:13,880 --> 00:22:17,840 Speaker 1: is narrowing down to one lane for construction, drivers should 427 00:22:18,000 --> 00:22:21,160 Speaker 1: use all the lanes available to them for as long 428 00:22:21,200 --> 00:22:24,520 Speaker 1: as they can, and then take turns one by one, 429 00:22:24,920 --> 00:22:28,720 Speaker 1: merging into the bottle neck. Now, this doesn't necessarily move 430 00:22:28,760 --> 00:22:32,240 Speaker 1: the cars through any faster than an early merge system, 431 00:22:32,280 --> 00:22:35,760 Speaker 1: but it's still is more efficient because it reduces the 432 00:22:35,840 --> 00:22:39,280 Speaker 1: backward stretching length of the traffic jam, though I did 433 00:22:39,280 --> 00:22:40,960 Speaker 1: find at least one case where it was found to 434 00:22:40,960 --> 00:22:43,560 Speaker 1: speed up the traffic moving through the bottle neck. There 435 00:22:43,600 --> 00:22:47,000 Speaker 1: was a New York Times article from October by Christopher 436 00:22:47,080 --> 00:22:50,640 Speaker 1: Melee about late merging, and it's cited a study from 437 00:22:50,640 --> 00:22:55,240 Speaker 1: the Colorado Department of Transportation that found late merging and 438 00:22:55,280 --> 00:22:58,600 Speaker 1: work zones led to a fifteen percent increase in the 439 00:22:58,680 --> 00:23:01,879 Speaker 1: volume of cars passing through, and that it cut the 440 00:23:02,000 --> 00:23:05,439 Speaker 1: length of the backup on the road in half. But 441 00:23:05,560 --> 00:23:08,879 Speaker 1: either way, it's also considered superior because it's safer since 442 00:23:08,960 --> 00:23:11,840 Speaker 1: the merging one at a time in the zipper like 443 00:23:12,040 --> 00:23:15,440 Speaker 1: fashion tends to happen at a predictable way at lower 444 00:23:15,520 --> 00:23:19,359 Speaker 1: speeds than early merging does. So so I hate it too. 445 00:23:19,480 --> 00:23:22,200 Speaker 1: And when I see somebody running down the open lane 446 00:23:22,240 --> 00:23:25,760 Speaker 1: and merging late, it looks selfish. If you do it, 447 00:23:25,760 --> 00:23:28,439 Speaker 1: it feels selfish when you see it. I'm like, you jerk. 448 00:23:28,560 --> 00:23:32,639 Speaker 1: But but it's probably, unfortunately, what everybody should be doing 449 00:23:32,720 --> 00:23:35,200 Speaker 1: for the greater good. Well, I have a hard time 450 00:23:35,280 --> 00:23:38,639 Speaker 1: imagining that the person that the people that I often 451 00:23:38,680 --> 00:23:41,520 Speaker 1: see doing this are doing it because they're they're well 452 00:23:41,560 --> 00:23:45,160 Speaker 1: acquainted with queuing theory, and then they're like, I'm doing 453 00:23:45,160 --> 00:23:47,119 Speaker 1: the responsible thing. Don't look at me, weird, you know. 454 00:23:47,200 --> 00:23:51,600 Speaker 1: I imagine they're they're also being aggressive in other aspects 455 00:23:51,640 --> 00:23:55,760 Speaker 1: of their driving experience, right, But then again, queuing theory 456 00:23:56,160 --> 00:23:59,120 Speaker 1: professors they have to drive to So perhaps the last 457 00:23:59,160 --> 00:24:01,760 Speaker 1: person that I judge how actually was Richard Larson. I 458 00:24:01,800 --> 00:24:06,639 Speaker 1: don't know that's quite possible. Were you in Massachusetts at 459 00:24:06,680 --> 00:24:09,000 Speaker 1: the time, No, but you know, maybe maybe he was 460 00:24:09,040 --> 00:24:11,439 Speaker 1: going to Florida. I don't know, yeah, but anyway, So 461 00:24:11,560 --> 00:24:14,640 Speaker 1: the the idea is that the majority of time that 462 00:24:14,680 --> 00:24:17,920 Speaker 1: people spend waiting in line, on average, Again, there's gonna 463 00:24:17,920 --> 00:24:20,440 Speaker 1: be huge variants from person to person, but on average 464 00:24:20,760 --> 00:24:23,800 Speaker 1: is probably waiting in traffic congestion, which is in a 465 00:24:23,840 --> 00:24:27,280 Speaker 1: way waiting in line because you are queued up for 466 00:24:27,400 --> 00:24:29,760 Speaker 1: access to something. In this case, what you're usually queued 467 00:24:29,840 --> 00:24:33,760 Speaker 1: up for access to is a a bottleneck in the 468 00:24:33,920 --> 00:24:37,040 Speaker 1: throughput of the traffic on the street. So how do 469 00:24:37,080 --> 00:24:39,359 Speaker 1: you get to the one to two years number? Well, uh, 470 00:24:39,640 --> 00:24:43,000 Speaker 1: Larson explains as follows. Suppose that a home to work 471 00:24:43,040 --> 00:24:45,560 Speaker 1: trip on a Sunday morning takes you thirty minutes, but 472 00:24:45,640 --> 00:24:48,640 Speaker 1: on a working weekday it takes you sixty minutes. That 473 00:24:48,680 --> 00:24:52,200 Speaker 1: corresponds to thirty minutes each day each way of traffic 474 00:24:52,280 --> 00:24:55,919 Speaker 1: caused queuing, sixty minutes of traffic queuing each day, or 475 00:24:55,960 --> 00:24:59,520 Speaker 1: three minutes each week. If you make reasonable assumptions, about 476 00:24:59,560 --> 00:25:01,920 Speaker 1: five day is a week of driving like this both 477 00:25:01,960 --> 00:25:04,840 Speaker 1: ways for an entire career. Then one comes up with 478 00:25:04,880 --> 00:25:07,679 Speaker 1: figures of one to two years of your waking life 479 00:25:07,720 --> 00:25:11,520 Speaker 1: spent in queues, mostly rush hour traffic cues and slowness, 480 00:25:11,560 --> 00:25:14,520 Speaker 1: which is equivalent to queuing. So that's very back of 481 00:25:14,560 --> 00:25:17,040 Speaker 1: the envelope, and that's just traffic, but it does make 482 00:25:17,080 --> 00:25:20,720 Speaker 1: you realize how much of modern American life is going 483 00:25:20,760 --> 00:25:26,520 Speaker 1: to be characterized by simply waiting for access to things. Uh. Though, 484 00:25:26,560 --> 00:25:28,680 Speaker 1: It's also interesting to me because I was thinking, well, 485 00:25:28,720 --> 00:25:31,919 Speaker 1: some people might quibble with whether traffic actually counts as 486 00:25:32,000 --> 00:25:35,680 Speaker 1: queuing or not, and and that raised the question why 487 00:25:35,760 --> 00:25:38,760 Speaker 1: it's sort of in itself interesting, Why would people not 488 00:25:39,040 --> 00:25:41,840 Speaker 1: think of traffic as a form of waiting in line? 489 00:25:42,200 --> 00:25:45,320 Speaker 1: I would say it is. It's definitely waiting in line. 490 00:25:45,320 --> 00:25:48,359 Speaker 1: It's even more dangerous waiting in line because you're in 491 00:25:48,440 --> 00:25:53,439 Speaker 1: a large vehicle that can cause fatalities. You are you 492 00:25:53,440 --> 00:25:55,400 Speaker 1: are also, I mean, without even getting into the whole 493 00:25:55,440 --> 00:25:57,720 Speaker 1: issue of road rage, you're in a You're in an 494 00:25:57,720 --> 00:26:02,240 Speaker 1: area where we see the social norms sometimes take on 495 00:26:02,320 --> 00:26:05,160 Speaker 1: different forms, and it becomes it can become more difficult 496 00:26:05,200 --> 00:26:09,200 Speaker 1: to associate those other cars with individual people in ways 497 00:26:09,240 --> 00:26:13,159 Speaker 1: that you don't see in an actual in person line. Um, 498 00:26:13,200 --> 00:26:15,040 Speaker 1: I guess on one level, I'm tempted to say, well, 499 00:26:15,040 --> 00:26:16,320 Speaker 1: if you're in your car, at least you can listen 500 00:26:16,359 --> 00:26:19,320 Speaker 1: to a podcast. But of course with mobile technology you 501 00:26:19,359 --> 00:26:21,120 Speaker 1: can you can if you if you think to bring 502 00:26:21,119 --> 00:26:23,199 Speaker 1: your headphones, you can do so in a in an 503 00:26:23,200 --> 00:26:26,439 Speaker 1: actual in person line as well. So I don't know sure. Okay, 504 00:26:26,440 --> 00:26:29,639 Speaker 1: here's another queuing theory question that that I've wondered about. 505 00:26:30,080 --> 00:26:32,560 Speaker 1: Let's say you're waiting in line for a number of 506 00:26:32,600 --> 00:26:35,680 Speaker 1: service points, maybe three bank tellers. There are a couple 507 00:26:35,680 --> 00:26:39,600 Speaker 1: of different ways that the bank can organize the waiting process. 508 00:26:40,240 --> 00:26:43,600 Speaker 1: Uh So, for example, they can have individual lines for 509 00:26:43,640 --> 00:26:46,359 Speaker 1: each bank teller and you just pick which line to 510 00:26:46,400 --> 00:26:50,320 Speaker 1: get in, or there can be one single snaking line 511 00:26:50,680 --> 00:26:52,280 Speaker 1: and once you get to the front of it, you 512 00:26:52,320 --> 00:26:55,119 Speaker 1: go to the next available teller. I was wondering, is 513 00:26:55,160 --> 00:26:57,800 Speaker 1: it actually is one of these actually more efficient than 514 00:26:57,880 --> 00:27:00,439 Speaker 1: the other, or are they about the same? Well, it 515 00:27:00,480 --> 00:27:02,680 Speaker 1: turns out there's an answer to that, and it's sort 516 00:27:02,720 --> 00:27:04,280 Speaker 1: of what you would guess if you think about it. 517 00:27:04,320 --> 00:27:06,879 Speaker 1: This also was by way of Richard Larson in that 518 00:27:06,960 --> 00:27:11,320 Speaker 1: same Washington Post article on average weight times for the 519 00:27:11,320 --> 00:27:13,960 Speaker 1: two systems are about the same, so you know, you 520 00:27:14,000 --> 00:27:15,920 Speaker 1: average it out over a lifetime, it's not going to 521 00:27:16,000 --> 00:27:19,560 Speaker 1: make a major difference. But there is much more variance 522 00:27:19,720 --> 00:27:22,680 Speaker 1: for weight times in the multi line system, so there 523 00:27:22,760 --> 00:27:25,040 Speaker 1: is a greater chance that you get through either very 524 00:27:25,119 --> 00:27:28,119 Speaker 1: quickly or you get stuck for a long time. So 525 00:27:28,200 --> 00:27:31,200 Speaker 1: I think the individual line system can be thought of 526 00:27:31,240 --> 00:27:33,639 Speaker 1: more as the gamblers system. Right when you want to 527 00:27:33,760 --> 00:27:36,080 Speaker 1: roll the dice on your weight time, that's the better 528 00:27:36,080 --> 00:27:37,560 Speaker 1: way to go. But if you want to have a 529 00:27:37,600 --> 00:27:41,199 Speaker 1: more predictable experience, the serpentine line is better. So of 530 00:27:41,240 --> 00:27:44,159 Speaker 1: course the having multi the multi line system is going 531 00:27:44,200 --> 00:27:46,920 Speaker 1: to be the one where you inevitably end up saying 532 00:27:46,920 --> 00:27:49,600 Speaker 1: to yourself, oh I picked the wrong line, or perhaps 533 00:27:49,640 --> 00:27:52,359 Speaker 1: you say, oh I picked the correct line. But um 534 00:27:52,680 --> 00:27:54,280 Speaker 1: so I guess the experience is going to be a 535 00:27:54,320 --> 00:27:56,240 Speaker 1: little more different. Is there gonna be a little different 536 00:27:56,240 --> 00:27:59,640 Speaker 1: depending on it Now, of course, it's not actually possible 537 00:27:59,720 --> 00:28:02,119 Speaker 1: that that it would really be the case over the 538 00:28:02,119 --> 00:28:04,840 Speaker 1: course of a life that the other line always moves faster. 539 00:28:05,080 --> 00:28:07,320 Speaker 1: So the fact that the other line always moves faster 540 00:28:07,400 --> 00:28:10,320 Speaker 1: really tells us something about human psychology, right that we 541 00:28:10,400 --> 00:28:15,480 Speaker 1: tend to notice more when things are not going our way. Now. 542 00:28:15,520 --> 00:28:18,040 Speaker 1: The many short lines approach, of course, also lends itself 543 00:28:18,080 --> 00:28:20,800 Speaker 1: to tiered systems stuff like t s, a pre check 544 00:28:21,119 --> 00:28:24,600 Speaker 1: or speed pass an amusement park. Uh. And depending on 545 00:28:24,640 --> 00:28:27,159 Speaker 1: how this is arranged, it might make for increased deficiency 546 00:28:27,680 --> 00:28:31,320 Speaker 1: uh and or gives some individuals or groups an unfair advantage. 547 00:28:31,560 --> 00:28:33,359 Speaker 1: Or maybe it's a fair advantage. It really depends on 548 00:28:33,400 --> 00:28:36,960 Speaker 1: your vantage point on these particular incidents. Uh Huh. I 549 00:28:37,000 --> 00:28:39,800 Speaker 1: wanted to go to an historical example on this. I 550 00:28:39,800 --> 00:28:42,080 Speaker 1: was looking around and I was thinking, well, you know, queuing. 551 00:28:42,160 --> 00:28:43,960 Speaker 1: You know, given that this is something that people have 552 00:28:44,000 --> 00:28:46,920 Speaker 1: had to do for a long time, like, but you 553 00:28:46,960 --> 00:28:49,800 Speaker 1: do see some cultural differences. What's a what's a nice 554 00:28:49,960 --> 00:28:53,440 Speaker 1: like ancient example of queuing? And I found a pretty 555 00:28:53,480 --> 00:28:56,080 Speaker 1: good one. I think it's um, it's from the ancient world, 556 00:28:56,280 --> 00:28:59,680 Speaker 1: and it requires to visit, uh, the Oracle of Delphie. 557 00:29:00,040 --> 00:29:02,280 Speaker 1: Now we've we've I don't think we've ever really talked 558 00:29:02,320 --> 00:29:05,120 Speaker 1: about Delphi in depth on the show before. I think 559 00:29:05,120 --> 00:29:08,840 Speaker 1: it came up briefly in our Bicameral Mind episode. But 560 00:29:08,880 --> 00:29:10,600 Speaker 1: we could totally do a whole series on it because 561 00:29:10,600 --> 00:29:12,480 Speaker 1: there's a lot of interesting angles. You know, you have 562 00:29:12,560 --> 00:29:17,520 Speaker 1: mythology history. There's also there's a whole chemical discussion to 563 00:29:17,560 --> 00:29:20,200 Speaker 1: be had as well. Oh yeah, about what like huffing 564 00:29:20,480 --> 00:29:24,040 Speaker 1: volcanic gases possibly or something. Yeah, but he But here's 565 00:29:24,040 --> 00:29:26,920 Speaker 1: the basics. The ancient Greeks considered Delphi to be the 566 00:29:26,960 --> 00:29:30,000 Speaker 1: center of the world, and it's here that the the 567 00:29:30,040 --> 00:29:33,720 Speaker 1: Omphallus of Delphi mentioned in our previous Listener Male episode. 568 00:29:33,840 --> 00:29:35,600 Speaker 1: This is where you would find this artifact. There's is 569 00:29:35,640 --> 00:29:39,600 Speaker 1: supposed to be the stone um of the god Yes, 570 00:29:39,640 --> 00:29:42,640 Speaker 1: I believe, fed to chron Us in in lieu of 571 00:29:42,680 --> 00:29:45,280 Speaker 1: his own son Zeus, so that Zeus could could live 572 00:29:45,360 --> 00:29:48,760 Speaker 1: instead of being munched. Yeah. So this artifact found its 573 00:29:48,800 --> 00:29:50,480 Speaker 1: home there and it served as kind of the navel 574 00:29:50,560 --> 00:29:53,000 Speaker 1: of the world. But it was also the location of 575 00:29:53,080 --> 00:29:56,200 Speaker 1: this vital temple of Delphi where one might consult an 576 00:29:56,240 --> 00:30:00,520 Speaker 1: oracle about the future or the past. Uh. Now oracle 577 00:30:00,600 --> 00:30:04,000 Speaker 1: would be someone known as the Pythia, and this would 578 00:30:04,000 --> 00:30:07,480 Speaker 1: be a female conduit for the god Apollo. Uh, someone 579 00:30:07,600 --> 00:30:11,560 Speaker 1: serving as the oracle, and you would see people arrive 580 00:30:11,680 --> 00:30:15,520 Speaker 1: here from all over the essentially the known world, in 581 00:30:15,560 --> 00:30:19,320 Speaker 1: the regions surrounding Greece. Uh, they would pursue matters of 582 00:30:19,440 --> 00:30:22,400 Speaker 1: love state craft. You would have ambassadors showing up to 583 00:30:22,440 --> 00:30:25,320 Speaker 1: see to determine, like what course of action should be 584 00:30:25,320 --> 00:30:27,160 Speaker 1: taken at a at a state level or you know 585 00:30:27,200 --> 00:30:30,560 Speaker 1: what accounts for state level at the time. Businesses. Uh, 586 00:30:30,600 --> 00:30:32,240 Speaker 1: you know, if you have business inquiries, you might go 587 00:30:32,320 --> 00:30:34,640 Speaker 1: So a lot of people were coming in. You need 588 00:30:34,680 --> 00:30:36,680 Speaker 1: to find out if your son is going to depose 589 00:30:36,720 --> 00:30:39,760 Speaker 1: and kill you. Yeah, yeah, that sort of thing. Uh. 590 00:30:39,760 --> 00:30:43,160 Speaker 1: And there are various origin stories concerning the oracle here, 591 00:30:43,240 --> 00:30:46,200 Speaker 1: but the one which was given in the first century 592 00:30:46,240 --> 00:30:50,120 Speaker 1: BC by the writer uh Diodorus, was that a goat 593 00:30:50,440 --> 00:30:53,360 Speaker 1: discovered a cave and the fumes from the cave caused 594 00:30:53,400 --> 00:30:56,600 Speaker 1: him to become untethered from the now and to experience 595 00:30:56,680 --> 00:30:59,880 Speaker 1: both the future and the past, thus the establishment of 596 00:30:59,880 --> 00:31:03,160 Speaker 1: a temple and uh, you know, and arranging a particular 597 00:31:03,200 --> 00:31:06,959 Speaker 1: individual to to serve as the oracle, and providing an 598 00:31:07,040 --> 00:31:11,240 Speaker 1: orderly means for people to seek these sacred divinations. Okay, 599 00:31:11,280 --> 00:31:13,280 Speaker 1: So it seems like what you've got here is a 600 00:31:13,360 --> 00:31:15,640 Speaker 1: service that a lot of people are going to want 601 00:31:15,760 --> 00:31:18,440 Speaker 1: and they can't all get at the same time. Yeah, 602 00:31:18,480 --> 00:31:20,760 Speaker 1: And so you've got to manage that, so yeah, a 603 00:31:20,800 --> 00:31:22,760 Speaker 1: lot of people coming in. It becomes a major center 604 00:31:22,760 --> 00:31:26,240 Speaker 1: of banking and commerce. And I found a really interesting 605 00:31:26,320 --> 00:31:28,320 Speaker 1: book by an author by the by the name of 606 00:31:28,360 --> 00:31:32,080 Speaker 1: Michael Scott titled Delphi, a History of the Center of 607 00:31:32,120 --> 00:31:37,040 Speaker 1: the Ancient World published and as Scott explains, they turned 608 00:31:37,040 --> 00:31:39,120 Speaker 1: to a system of queuing. So I want to read 609 00:31:39,120 --> 00:31:42,440 Speaker 1: a quote from this book. Quote. The consultants, who would 610 00:31:42,480 --> 00:31:45,360 Speaker 1: have had to arrive, probably some days before the appointed 611 00:31:45,400 --> 00:31:49,160 Speaker 1: consultation day, would now play their part. They first had 612 00:31:49,160 --> 00:31:52,680 Speaker 1: to purify themselves with water from the springs of Delphi. Next, 613 00:31:52,760 --> 00:31:55,560 Speaker 1: they had to organize according to the strict rules governing 614 00:31:55,600 --> 00:31:59,920 Speaker 1: the order of consultation. Local Delphians always had the first 615 00:32:00,160 --> 00:32:03,120 Speaker 1: right of audience. What followed them was a system of 616 00:32:03,200 --> 00:32:06,800 Speaker 1: queuing that prioritize first Greeks whose city or tribe was 617 00:32:06,920 --> 00:32:10,600 Speaker 1: part of Delphi's supreme governing Council, then all other Greeks, 618 00:32:10,800 --> 00:32:14,520 Speaker 1: and finally non Greeks. But within each section there was 619 00:32:14,600 --> 00:32:17,280 Speaker 1: also a way to skip to the front, a system 620 00:32:17,320 --> 00:32:21,240 Speaker 1: known as promanteau promantea. The right to consult the oracle 621 00:32:21,320 --> 00:32:24,760 Speaker 1: before others could be awarded to individuals or cities by 622 00:32:24,760 --> 00:32:27,560 Speaker 1: the city of Delphi as an expression of the closer 623 00:32:27,600 --> 00:32:31,680 Speaker 1: relationship between them, or as thanks for particular actions as 624 00:32:31,760 --> 00:32:34,959 Speaker 1: oracle pre check exactly. Yeah, and so your city might 625 00:32:35,000 --> 00:32:37,840 Speaker 1: be awarded promantia, for instance, for paying for a new 626 00:32:37,880 --> 00:32:41,080 Speaker 1: altar or something to that effect. But but it's interesting. 627 00:32:41,440 --> 00:32:43,160 Speaker 1: It is kind of like a speed pass or one 628 00:32:43,160 --> 00:32:44,880 Speaker 1: of those. If you ever go to a place where 629 00:32:44,880 --> 00:32:48,040 Speaker 1: they have special parking places for the donors that that 630 00:32:48,120 --> 00:32:50,240 Speaker 1: helped fund a like a I don't know, performing arts 631 00:32:50,240 --> 00:32:52,640 Speaker 1: center or botanical garden, that's sort of things kind of 632 00:32:52,680 --> 00:32:55,440 Speaker 1: like that. But it also shows that for a very 633 00:32:55,440 --> 00:32:58,280 Speaker 1: long time, human civilization has had to work out how 634 00:32:58,320 --> 00:33:02,000 Speaker 1: to manage people as they move to and through various systems, 635 00:33:02,080 --> 00:33:05,080 Speaker 1: especially if it's something like this where there's there's only 636 00:33:05,080 --> 00:33:07,680 Speaker 1: the one oracle, like they can't see everybody at once. 637 00:33:07,880 --> 00:33:10,680 Speaker 1: You need a system in place and um and it. 638 00:33:10,880 --> 00:33:13,200 Speaker 1: But it's ultimately going to be more complicated than just 639 00:33:13,280 --> 00:33:15,680 Speaker 1: a first come, first serve, that's right. And this brings 640 00:33:15,760 --> 00:33:19,240 Speaker 1: us back to the idea that while the the single file, 641 00:33:19,400 --> 00:33:22,640 Speaker 1: first come, first serve line might feel like it, you know, 642 00:33:22,680 --> 00:33:25,240 Speaker 1: it might feel to us like it is so deep 643 00:33:25,320 --> 00:33:28,120 Speaker 1: and so obvious that's just a part of our biology. 644 00:33:28,200 --> 00:33:32,240 Speaker 1: Once again, it's something that is somewhat culturally and historically contingent, 645 00:33:32,320 --> 00:33:35,120 Speaker 1: and it's it's not something that was all that's always 646 00:33:35,120 --> 00:33:38,400 Speaker 1: in place everywhere in history. I was reading some articles 647 00:33:38,840 --> 00:33:42,480 Speaker 1: trying to find like where this convention really got popular, 648 00:33:42,720 --> 00:33:45,320 Speaker 1: and one thing I found was a number of articles 649 00:33:45,400 --> 00:33:48,680 Speaker 1: about a book by an author named David Andrews called 650 00:33:49,120 --> 00:33:51,920 Speaker 1: Why Does the Other Line Always Move Faster? That seems 651 00:33:51,920 --> 00:33:55,480 Speaker 1: like kind of a pop history of queuing. And Andrew's 652 00:33:55,560 --> 00:33:58,560 Speaker 1: argues at least that the first come, first serve, single 653 00:33:58,640 --> 00:34:03,360 Speaker 1: file queuing us system is mostly a recent phenomenon and 654 00:34:03,400 --> 00:34:07,400 Speaker 1: that it actually has its origins in the French Revolution. Uh. 655 00:34:07,440 --> 00:34:10,840 Speaker 1: He deduces this in part from the nineteenth century Scottish 656 00:34:10,880 --> 00:34:14,400 Speaker 1: historian and S. A. S. Thomas Carlyle, who wrote extensively 657 00:34:14,480 --> 00:34:17,719 Speaker 1: about the French Revolution in a three volume chronicle that 658 00:34:17,800 --> 00:34:21,160 Speaker 1: was first published in eighteen thirty seven. And one of 659 00:34:21,200 --> 00:34:25,759 Speaker 1: the things that Carlisle observed about post revolutionary France was 660 00:34:25,960 --> 00:34:29,279 Speaker 1: the change in modes of customer service. He said that 661 00:34:29,560 --> 00:34:33,200 Speaker 1: in their bakeries in Paris, customers would line up in 662 00:34:33,360 --> 00:34:37,320 Speaker 1: single file for service in what we're called queues q 663 00:34:37,760 --> 00:34:41,440 Speaker 1: meant tale in Old French, a tale like an animal's tale, 664 00:34:41,840 --> 00:34:45,600 Speaker 1: originally coming from the Latin coda or cauta, and quoted 665 00:34:45,640 --> 00:34:48,600 Speaker 1: in an ap article I was reading about this book, uh, 666 00:34:48,640 --> 00:34:52,000 Speaker 1: that there were basically political connotations to the idea of 667 00:34:52,040 --> 00:34:55,360 Speaker 1: waiting in queue for service. That it was supposed to 668 00:34:55,440 --> 00:34:58,799 Speaker 1: be a demonstration of commitment to the values of the 669 00:34:58,800 --> 00:35:03,120 Speaker 1: French revolutions logan of liberty, equality and fraternity. It meant 670 00:35:03,239 --> 00:35:06,719 Speaker 1: patiently waiting on your turn, you know, no matter what 671 00:35:06,840 --> 00:35:10,239 Speaker 1: your job was or your station. Uh. And and Carlisle 672 00:35:10,360 --> 00:35:15,359 Speaker 1: summed it up in the sentence, patriotism stands in Q. Yeah, 673 00:35:15,440 --> 00:35:18,200 Speaker 1: this is this is interesting how there are different ways 674 00:35:18,239 --> 00:35:19,840 Speaker 1: of looking at the line and the sort of the 675 00:35:20,080 --> 00:35:23,160 Speaker 1: democratic nature of the line, because again you'll also see 676 00:35:23,280 --> 00:35:27,399 Speaker 1: accusations of the line as a as a manifestation of socialism. 677 00:35:27,480 --> 00:35:30,720 Speaker 1: You'll see it critiqued. Uh. This was a common critique 678 00:35:30,760 --> 00:35:34,399 Speaker 1: of of the Soviet Union back that you're talking about 679 00:35:34,440 --> 00:35:37,640 Speaker 1: the bread lines and having to wait in line for bread. Uh, 680 00:35:37,800 --> 00:35:40,360 Speaker 1: you know, as if it were you know, it's a 681 00:35:40,440 --> 00:35:44,000 Speaker 1: sign of something not working within the institution. Well, I 682 00:35:44,040 --> 00:35:46,200 Speaker 1: think the problem there, like to the extent that that 683 00:35:46,320 --> 00:35:48,799 Speaker 1: is a problem. The problem there is scarcity, not the 684 00:35:48,840 --> 00:35:51,760 Speaker 1: fact that it's a first come, first serve system for access, 685 00:35:51,880 --> 00:35:55,719 Speaker 1: but like the line became emblematic of the scarcity, right, 686 00:35:55,920 --> 00:35:58,719 Speaker 1: And this actually leads, I think into a that's an 687 00:35:58,719 --> 00:36:02,839 Speaker 1: excellent lead into our discussion of queuing psychology, because yeah, 688 00:36:02,840 --> 00:36:05,759 Speaker 1: how do you perceive the line before you were in it? 689 00:36:05,840 --> 00:36:07,839 Speaker 1: How do you perceive the line once you are in it? 690 00:36:07,880 --> 00:36:10,759 Speaker 1: Because let's say you're you know, you're you're you're out 691 00:36:10,760 --> 00:36:12,400 Speaker 1: and about and you're like, oh, I think I'm going 692 00:36:12,440 --> 00:36:14,160 Speaker 1: to drop in at this coffee place. I'm gonna get 693 00:36:14,160 --> 00:36:16,600 Speaker 1: a cup of coffee. And as you approach, you see 694 00:36:16,600 --> 00:36:19,080 Speaker 1: that there is a long line or you know, a 695 00:36:19,160 --> 00:36:22,239 Speaker 1: longish line anyway to acquire said coffee. So how are 696 00:36:22,280 --> 00:36:24,239 Speaker 1: you supposed to view that? You could view it like saying, 697 00:36:24,280 --> 00:36:26,760 Speaker 1: oh good, they have a system. They have a system 698 00:36:26,800 --> 00:36:28,400 Speaker 1: for me to get coffee. I can go get in 699 00:36:28,480 --> 00:36:30,879 Speaker 1: line and I can totally acquire it. You know, maybe 700 00:36:30,920 --> 00:36:33,600 Speaker 1: it looks like the lines moving, or you might say, 701 00:36:33,760 --> 00:36:36,680 Speaker 1: oh man, there's a line. Maybe they're running out of coffee. 702 00:36:36,680 --> 00:36:39,520 Speaker 1: Maybe this is a scarity scarcity situation, or perhaps you're 703 00:36:39,560 --> 00:36:44,200 Speaker 1: concerned maybe they're understaffed, maybe they can't properly attend to 704 00:36:44,280 --> 00:36:47,520 Speaker 1: everybody who wants coffee today. You know. There there's so 705 00:36:47,560 --> 00:36:51,520 Speaker 1: many different ways of viewing it and um and certainly 706 00:36:51,840 --> 00:36:54,600 Speaker 1: when you start looking at the like the marketing research 707 00:36:54,680 --> 00:36:57,600 Speaker 1: on it, it is readily identified that there there's an 708 00:36:57,600 --> 00:37:01,040 Speaker 1: economic cost and a psychological cost to standing in line, 709 00:37:01,400 --> 00:37:04,640 Speaker 1: you know, because everybody in line that's waiting is somebody 710 00:37:04,680 --> 00:37:08,080 Speaker 1: that you you you generally have not yet um tended 711 00:37:08,120 --> 00:37:10,399 Speaker 1: to uh. You know. Granted you can have multiple line 712 00:37:10,440 --> 00:37:13,160 Speaker 1: system like the line to UM to to order and 713 00:37:13,160 --> 00:37:15,640 Speaker 1: then the line to get your food, etcetera. UM, but 714 00:37:15,920 --> 00:37:18,719 Speaker 1: there's a potential economic cost associated with that line, and 715 00:37:18,719 --> 00:37:21,279 Speaker 1: then there's a psychological cost. What is that individual doing 716 00:37:21,280 --> 00:37:23,919 Speaker 1: while they were waiting in line? Are they frustrated? Are 717 00:37:23,960 --> 00:37:26,319 Speaker 1: they are they angry? Are they at pulling out their 718 00:37:26,320 --> 00:37:28,719 Speaker 1: phones and going to one of the review sites so 719 00:37:28,760 --> 00:37:30,880 Speaker 1: they can you know, leave a nasty review because they 720 00:37:30,920 --> 00:37:34,279 Speaker 1: haven't received their coffee yet. Yeah, exactly. So a ton 721 00:37:34,320 --> 00:37:37,479 Speaker 1: of the psychological research about queuing has actually been done 722 00:37:37,520 --> 00:37:39,640 Speaker 1: in the context, like you say, of like marketing and 723 00:37:39,760 --> 00:37:43,759 Speaker 1: consumer behavior research and in the business world. But even 724 00:37:43,800 --> 00:37:46,640 Speaker 1: in that context, there's a lot of really interesting stuff 725 00:37:46,640 --> 00:37:50,080 Speaker 1: that's been found. Some of it, I think we'll ring 726 00:37:50,160 --> 00:37:53,320 Speaker 1: true to your experiences. Some of it might be more surprising. 727 00:37:53,360 --> 00:37:55,400 Speaker 1: One of the things that really rings true to my 728 00:37:55,480 --> 00:38:00,600 Speaker 1: experience is that people experience weights as longer and is 729 00:38:00,719 --> 00:38:04,080 Speaker 1: less pleasant when they don't know how long the weight 730 00:38:04,239 --> 00:38:07,200 Speaker 1: is going to be and they don't understand the reason 731 00:38:07,360 --> 00:38:10,319 Speaker 1: for the way that. That's like the real that's the 732 00:38:10,360 --> 00:38:14,360 Speaker 1: red zone. That's really bad. Yeah, I have to admit 733 00:38:14,440 --> 00:38:16,879 Speaker 1: the place that I got coffee this morning, though though 734 00:38:16,920 --> 00:38:18,920 Speaker 1: I love it it's a great place, is a similar 735 00:38:18,920 --> 00:38:22,640 Speaker 1: situation because there was no visible line to order, but 736 00:38:22,719 --> 00:38:24,279 Speaker 1: it was just a lot of people waiting on their 737 00:38:24,400 --> 00:38:27,120 Speaker 1: order outside and so a lot of the time. And 738 00:38:27,200 --> 00:38:29,040 Speaker 1: of course I went into it having read some of 739 00:38:29,040 --> 00:38:30,600 Speaker 1: these studies, so I was thinking a lot about our 740 00:38:30,920 --> 00:38:34,720 Speaker 1: recording today, um and maybe had a little extra AMMO 741 00:38:35,120 --> 00:38:39,080 Speaker 1: to to consider whilst waiting. But yeah, your mind starts wondering, Okay, 742 00:38:39,120 --> 00:38:41,319 Speaker 1: I wonder what's going on here? Man? Are they understaffed? 743 00:38:41,400 --> 00:38:43,360 Speaker 1: And you start looking at other people to see if 744 00:38:43,360 --> 00:38:46,520 Speaker 1: they're frustrated, and see how everyone is and and all. 745 00:38:46,640 --> 00:38:50,040 Speaker 1: Then you get suddenly in my case too I found 746 00:38:50,040 --> 00:38:52,319 Speaker 1: myself worrying, Oh man, I think I'm about to get 747 00:38:52,320 --> 00:38:54,560 Speaker 1: my coffee before these people who are here when I 748 00:38:54,600 --> 00:38:57,120 Speaker 1: got here? Is that going to feel weird? Because then 749 00:38:57,160 --> 00:38:59,640 Speaker 1: I'm sort of cutting in line. I mean not in 750 00:38:59,640 --> 00:39:02,000 Speaker 1: a way it where I bear the blame, but in 751 00:39:02,040 --> 00:39:04,480 Speaker 1: a way that could still be socially awkward. You know. 752 00:39:04,880 --> 00:39:07,120 Speaker 1: Oh well, this actually ties into one of the studies 753 00:39:07,160 --> 00:39:08,759 Speaker 1: I wanted to mention today. Do you mind if I 754 00:39:08,760 --> 00:39:10,839 Speaker 1: cut right to this one real quick? You're gonna kind 755 00:39:10,840 --> 00:39:13,680 Speaker 1: of ahead of me and the outline for this episode. 756 00:39:13,760 --> 00:39:15,400 Speaker 1: I want to cut in line on the outline just 757 00:39:15,760 --> 00:39:18,480 Speaker 1: because it ties into what you just said. Well, this 758 00:39:18,560 --> 00:39:20,680 Speaker 1: is going to be very brief. But one of the 759 00:39:20,760 --> 00:39:24,239 Speaker 1: questions I was wondering about is okay, so you just 760 00:39:24,320 --> 00:39:28,439 Speaker 1: assume you know what fairness in queuing is, right, because 761 00:39:28,480 --> 00:39:31,400 Speaker 1: when you see somebody like cutting in line, that is 762 00:39:31,480 --> 00:39:34,560 Speaker 1: obviously a violation of the fairness principle that you've got 763 00:39:34,600 --> 00:39:36,720 Speaker 1: in mind when you're when you're queuing up for something. 764 00:39:37,400 --> 00:39:39,920 Speaker 1: But there are other principles at work as well, And 765 00:39:40,040 --> 00:39:42,120 Speaker 1: so there was a study I was looking at by 766 00:39:42,800 --> 00:39:46,920 Speaker 1: Wrong Wrong Show and Deleep Soman in psychology and marketing, 767 00:39:46,920 --> 00:39:50,000 Speaker 1: in two thousand eight called consumers waiting in queues the 768 00:39:50,120 --> 00:39:53,839 Speaker 1: role of first order and second order justice. Uh. And 769 00:39:53,920 --> 00:39:57,760 Speaker 1: so this looks at actually two different senses of justice 770 00:39:57,760 --> 00:40:00,920 Speaker 1: about waiting in line. One is the sution is the 771 00:40:00,960 --> 00:40:05,080 Speaker 1: line being served according to a first in, first out principle, 772 00:40:05,239 --> 00:40:08,799 Speaker 1: I you know, in order, no cutting in line. And 773 00:40:08,840 --> 00:40:12,680 Speaker 1: the second principle is are people in line all waiting 774 00:40:12,719 --> 00:40:17,040 Speaker 1: approximately equal amounts of time? These two things are actually 775 00:40:17,120 --> 00:40:20,520 Speaker 1: not always coterminous, and sometimes they go against one another. 776 00:40:20,600 --> 00:40:23,760 Speaker 1: For example, if you're at a grocery store and somebody 777 00:40:23,840 --> 00:40:26,320 Speaker 1: has a you know, huge cart full of tiny items, 778 00:40:26,360 --> 00:40:29,080 Speaker 1: they're buying the entire spice rack off the shelf or something, 779 00:40:29,400 --> 00:40:31,279 Speaker 1: and they want to pay by check and they get 780 00:40:31,320 --> 00:40:33,440 Speaker 1: in front of you in line, you might have to 781 00:40:33,480 --> 00:40:37,279 Speaker 1: wait way more than the average customer. So that's one 782 00:40:37,360 --> 00:40:40,839 Speaker 1: type of unfairness you could perceive. But then, of course 783 00:40:40,880 --> 00:40:42,800 Speaker 1: the other thing would be, well, what if the store 784 00:40:42,880 --> 00:40:44,680 Speaker 1: just said like, well, why don't you come in front 785 00:40:44,719 --> 00:40:47,759 Speaker 1: of this person right? Uh, you know, even though they 786 00:40:47,800 --> 00:40:50,680 Speaker 1: got there before you. And so the authors looked into 787 00:40:50,719 --> 00:40:54,200 Speaker 1: the question here, do do customers care about both of 788 00:40:54,239 --> 00:40:56,799 Speaker 1: these things? They found that yes, people actually do care 789 00:40:56,840 --> 00:41:00,200 Speaker 1: about both of these types of fairness. But they also 790 00:41:00,320 --> 00:41:03,600 Speaker 1: found that customers care about adherence to the first in, 791 00:41:03,719 --> 00:41:07,240 Speaker 1: first out principle more than they care about the equal 792 00:41:07,280 --> 00:41:11,680 Speaker 1: waiting time principle. Ah So an individual with a large cart, 793 00:41:12,440 --> 00:41:15,120 Speaker 1: they're likely to take more offense that at the the 794 00:41:15,880 --> 00:41:18,000 Speaker 1: the person of the cash registers saying can we let 795 00:41:18,000 --> 00:41:20,960 Speaker 1: that person with one item go ahead of you? Um. 796 00:41:21,040 --> 00:41:23,839 Speaker 1: Whereas if it's a situation where you're approaching in your 797 00:41:23,920 --> 00:41:26,680 Speaker 1: large cart and they say, actually, the person who was 798 00:41:26,719 --> 00:41:28,480 Speaker 1: ahead of you had to go back and get an item, 799 00:41:28,520 --> 00:41:30,520 Speaker 1: but now they're back, can they go ahead in front 800 00:41:30,520 --> 00:41:32,680 Speaker 1: of you? Then that you would you would probably be 801 00:41:32,719 --> 00:41:34,719 Speaker 1: more okay with that because they were still ahead of 802 00:41:34,760 --> 00:41:37,160 Speaker 1: you in line. Sorry, that's a little confilution. No, No, 803 00:41:37,200 --> 00:41:39,000 Speaker 1: that may well be an implication. I mean, I don't 804 00:41:39,000 --> 00:41:41,280 Speaker 1: know how this would always come because once you introduce 805 00:41:41,360 --> 00:41:44,960 Speaker 1: real world scenarios that that like brings in some other things. 806 00:41:45,080 --> 00:41:47,759 Speaker 1: But yeah, I'd say in general that that kind of 807 00:41:47,800 --> 00:41:50,239 Speaker 1: principle could be true from this, Yeah, because there are 808 00:41:50,239 --> 00:41:52,719 Speaker 1: other social dynamics that come into play, right, Like if 809 00:41:52,760 --> 00:41:56,040 Speaker 1: you were a young, able bodied person with a large 810 00:41:56,080 --> 00:41:59,200 Speaker 1: cart and the person with one item is an elderly individual, 811 00:41:59,280 --> 00:42:02,360 Speaker 1: you know, then you're gonna perhaps be more inclined to 812 00:42:02,400 --> 00:42:05,759 Speaker 1: be like, oh, yes, please let let them go first. Yeah. 813 00:42:05,800 --> 00:42:08,280 Speaker 1: And I think in general, people feel very differently about 814 00:42:09,000 --> 00:42:12,800 Speaker 1: advantage that has been offered to someone else versus advantage 815 00:42:12,800 --> 00:42:15,879 Speaker 1: that has been given to someone else without your consent. Right, 816 00:42:16,239 --> 00:42:18,640 Speaker 1: the same person who would gladly let somebody with fewer 817 00:42:18,680 --> 00:42:21,120 Speaker 1: items in ahead of them in line if they if 818 00:42:21,160 --> 00:42:23,520 Speaker 1: it was their idea, might get really mad if the 819 00:42:23,719 --> 00:42:25,879 Speaker 1: if the clerk said, you know what, why don't why 820 00:42:25,880 --> 00:42:28,120 Speaker 1: doesn't this person go in front of you? Yeah? Yeah, 821 00:42:28,239 --> 00:42:31,480 Speaker 1: it wasn't my idea to let the like the weightlifter 822 00:42:31,600 --> 00:42:34,439 Speaker 1: who's buying one muscle milk go ahead of me, because 823 00:42:34,440 --> 00:42:36,319 Speaker 1: if I it was me, I'd be like, like, you know, 824 00:42:36,560 --> 00:42:38,359 Speaker 1: then then it's all right if I say, hey, why 825 00:42:38,360 --> 00:42:39,400 Speaker 1: don't you go ahead of me? You just got the 826 00:42:39,400 --> 00:42:41,080 Speaker 1: one thing, but you have the cash radder person. The 827 00:42:41,080 --> 00:42:44,080 Speaker 1: cash riders should be saying, wait, let the muscle milk 828 00:42:44,400 --> 00:42:46,919 Speaker 1: buy or go first. He has only the one muscle milk. 829 00:42:47,280 --> 00:42:49,680 Speaker 1: We must honor this. But then to come back to 830 00:42:49,680 --> 00:42:52,000 Speaker 1: our a t M example, the first in, first out 831 00:42:52,000 --> 00:42:55,160 Speaker 1: principle might devolve into the shoving principle, right, and I 832 00:42:55,200 --> 00:42:57,200 Speaker 1: don't want to shove with the muscle milk guy because 833 00:42:57,200 --> 00:43:06,600 Speaker 1: he's pretty jack than Now here's another interesting spending all 834 00:43:06,600 --> 00:43:08,760 Speaker 1: of this. So, how does the presence of a line 835 00:43:09,000 --> 00:43:11,920 Speaker 1: and our place in a line impact our perceived value 836 00:43:12,160 --> 00:43:16,719 Speaker 1: of the thing we're waiting in line for? Be that thing? Uh, 837 00:43:16,760 --> 00:43:19,080 Speaker 1: you know, it could be an experience who are waiting 838 00:43:19,080 --> 00:43:21,240 Speaker 1: to get on a line or or take a flight, 839 00:43:21,719 --> 00:43:23,520 Speaker 1: Or it could be an item we're buying. It could 840 00:43:23,520 --> 00:43:25,839 Speaker 1: be that cup of coffee that's scone, or that hot 841 00:43:25,880 --> 00:43:27,759 Speaker 1: dog what have you. So I was looking at an 842 00:43:27,840 --> 00:43:31,480 Speaker 1: article from ten titled a silver lining of standing in 843 00:43:31,560 --> 00:43:34,680 Speaker 1: line queuing increases value of products. This was published in 844 00:43:34,719 --> 00:43:38,520 Speaker 1: the Journal of Marketing Research by Minium Coup and uh 845 00:43:38,600 --> 00:43:42,680 Speaker 1: a lit fish back, and they point out that, first 846 00:43:42,680 --> 00:43:45,360 Speaker 1: of all, waiting in line obviously has both an economic 847 00:43:45,400 --> 00:43:48,320 Speaker 1: cost and a psychological cost. Like we said, long lines 848 00:43:48,360 --> 00:43:51,040 Speaker 1: can send the message that something is popular and in demand, 849 00:43:51,560 --> 00:43:55,920 Speaker 1: but lines can also impact customer UH satisfaction or impact 850 00:43:55,920 --> 00:43:59,240 Speaker 1: a business performance, and they point to several different studies 851 00:43:59,280 --> 00:44:01,839 Speaker 1: on this topic. They were particularly interested in the less 852 00:44:01,880 --> 00:44:06,160 Speaker 1: studied positive attributes of standing in line. So again, there's 853 00:44:06,200 --> 00:44:08,439 Speaker 1: no doubt that a line can send a signal about 854 00:44:08,480 --> 00:44:11,120 Speaker 1: the perceived value of the thing waiting at the end 855 00:44:11,160 --> 00:44:12,799 Speaker 1: of the line. But they wanted to know how the 856 00:44:12,840 --> 00:44:17,840 Speaker 1: experience of queuing affected expectations of enjoyment. This is interesting 857 00:44:17,880 --> 00:44:21,720 Speaker 1: because it makes me think about cases where somebody makes 858 00:44:21,960 --> 00:44:25,719 Speaker 1: certain instances of being willing to wait in line a 859 00:44:25,800 --> 00:44:28,879 Speaker 1: part of their sort of personal brand or identity. Like, 860 00:44:29,360 --> 00:44:31,440 Speaker 1: you know, you might be proud of the fact that 861 00:44:31,560 --> 00:44:34,440 Speaker 1: I waited overnight in line to be the first person 862 00:44:34,480 --> 00:44:37,240 Speaker 1: to get tickets to see the new Star Wars movie 863 00:44:37,320 --> 00:44:39,759 Speaker 1: or something, you know what I mean. Yeah, yeah, like 864 00:44:39,880 --> 00:44:41,680 Speaker 1: I am committing in a way, it's kind of like 865 00:44:41,760 --> 00:44:45,560 Speaker 1: proving like only someone this committed deserves to be first. 866 00:44:45,719 --> 00:44:48,120 Speaker 1: And uh, it's an interesting spent on the whole first 867 00:44:48,120 --> 00:44:51,200 Speaker 1: come first surf scenario. So the authors here they say, quote, 868 00:44:51,239 --> 00:44:55,839 Speaker 1: we propose that looking behind and perceiving real or illusionary 869 00:44:55,920 --> 00:45:00,000 Speaker 1: progress signals an increase in the product's value. As a result, 870 00:45:00,280 --> 00:45:02,919 Speaker 1: the consumer will not only expect to like, but also 871 00:45:03,040 --> 00:45:07,399 Speaker 1: actually like the product more and increase his or her expenditure. 872 00:45:07,719 --> 00:45:10,560 Speaker 1: So again, the idea is you're really looking forward to 873 00:45:10,640 --> 00:45:13,600 Speaker 1: buying that apple. But then the experience of waiting in 874 00:45:13,680 --> 00:45:18,040 Speaker 1: line and seeing people behind you in line that makes 875 00:45:18,080 --> 00:45:21,440 Speaker 1: the your anticipation of enjoyment of that apple even greater. 876 00:45:21,719 --> 00:45:24,279 Speaker 1: Oh yeah, it's got the seeing people behind you in line, 877 00:45:24,280 --> 00:45:26,520 Speaker 1: more and more people lining up behind you, that makes 878 00:45:26,560 --> 00:45:29,160 Speaker 1: you feel like, hey, yeah, I've really got in there 879 00:45:29,160 --> 00:45:31,920 Speaker 1: at the right time. Yeah. So this is of course 880 00:45:32,320 --> 00:45:35,640 Speaker 1: in line with the sunk cost effect which the author's site. 881 00:45:35,960 --> 00:45:38,360 Speaker 1: The more time and effort that I've sunk into something, 882 00:45:38,680 --> 00:45:41,239 Speaker 1: the more fixed I'm going to be on the idea 883 00:45:41,320 --> 00:45:43,440 Speaker 1: that this was worth it, even if I've been burned 884 00:45:43,480 --> 00:45:45,840 Speaker 1: in the past. So the thing you're waiting in line 885 00:45:45,840 --> 00:45:48,319 Speaker 1: for then becomes more valuable than it was when you 886 00:45:48,360 --> 00:45:51,360 Speaker 1: began waiting in line for it. So the study itself, 887 00:45:51,440 --> 00:45:53,760 Speaker 1: which is like a series of I think five studies total, 888 00:45:54,320 --> 00:45:56,880 Speaker 1: is relatively small, but the results are still interesting. And 889 00:45:56,920 --> 00:45:58,719 Speaker 1: I'm not going to get into the methods of each 890 00:45:58,719 --> 00:46:01,359 Speaker 1: one because you can imagine how they conducted this. They 891 00:46:01,360 --> 00:46:03,600 Speaker 1: had people stand in line and they uh and they 892 00:46:03,680 --> 00:46:06,040 Speaker 1: questioned them, and they manipulated things a little bit too 893 00:46:06,360 --> 00:46:08,960 Speaker 1: to see, you know, how people reacted uh, And it's 894 00:46:09,000 --> 00:46:11,120 Speaker 1: it's pretty obvious from the results what they did. So 895 00:46:11,719 --> 00:46:14,640 Speaker 1: Study one found that the perceived value of a bagel 896 00:46:14,680 --> 00:46:18,240 Speaker 1: sandwich increased in keeping with the absolute number of people 897 00:46:18,320 --> 00:46:21,759 Speaker 1: behind the individual in line. Okay, so you see more 898 00:46:21,800 --> 00:46:24,759 Speaker 1: people coming in behind you, you like your sandwich more 899 00:46:24,800 --> 00:46:27,960 Speaker 1: and more, right now. Study to found that you could 900 00:46:28,000 --> 00:46:30,600 Speaker 1: experiment with the number of people behind the individual in 901 00:46:30,680 --> 00:46:34,520 Speaker 1: line to increase the perceived value of the food sample, 902 00:46:34,880 --> 00:46:39,520 Speaker 1: but adjusting the number of people ahead had no measurable effect. Okay, 903 00:46:39,560 --> 00:46:41,920 Speaker 1: I don't know how exactly that shakes out with their method, 904 00:46:41,960 --> 00:46:44,759 Speaker 1: but that sounds to me like it might be not 905 00:46:44,840 --> 00:46:47,319 Speaker 1: so much to the fact that you had to wait 906 00:46:47,440 --> 00:46:49,560 Speaker 1: a certain amount of time to get something is what 907 00:46:49,719 --> 00:46:54,640 Speaker 1: increases the perceived value. But seeing other people wanting the thing, 908 00:46:55,440 --> 00:46:58,160 Speaker 1: as demonstrated by their being behind you in the line 909 00:46:58,320 --> 00:47:01,239 Speaker 1: and and making you think of yourself as towards the 910 00:47:01,239 --> 00:47:04,839 Speaker 1: front of the line increases the value. Yeah. Yeah, the 911 00:47:04,880 --> 00:47:09,000 Speaker 1: idea that there are more people behind you is important 912 00:47:09,080 --> 00:47:11,000 Speaker 1: and and I think also it gets into the idea 913 00:47:11,040 --> 00:47:13,120 Speaker 1: that the blind is moving. You know, I am no 914 00:47:13,200 --> 00:47:16,160 Speaker 1: longer last in line. So Study three and four drove 915 00:47:16,200 --> 00:47:18,920 Speaker 1: home that the more you increased focus on the people 916 00:47:18,960 --> 00:47:22,360 Speaker 1: behind an individual in line, the greater the perceived value 917 00:47:22,400 --> 00:47:24,640 Speaker 1: of the thing that we're waiting on. And I found 918 00:47:24,680 --> 00:47:27,319 Speaker 1: this especially interesting when I think about the various lines 919 00:47:27,360 --> 00:47:30,319 Speaker 1: I've stood in for, say, amusement park rides, because some 920 00:47:30,480 --> 00:47:33,239 Speaker 1: of them do kind of force you to realize how 921 00:47:33,239 --> 00:47:36,120 Speaker 1: many people are still behind you in line, but others 922 00:47:36,160 --> 00:47:39,239 Speaker 1: snake you through and interesting and novel ways put you through, 923 00:47:39,360 --> 00:47:42,480 Speaker 1: you know, novel surroundings. Um though sometimes in those you 924 00:47:42,560 --> 00:47:44,840 Speaker 1: still get a glance back. You occasionally get that moment 925 00:47:44,880 --> 00:47:47,799 Speaker 1: to look back and see where you were previously. And 926 00:47:47,840 --> 00:47:50,799 Speaker 1: I imagine, given the amount of design that goes into 927 00:47:50,960 --> 00:47:54,239 Speaker 1: you know, some of these major US amusement parks, that 928 00:47:54,400 --> 00:47:57,279 Speaker 1: is probably intended. There's probably some bit of research where 929 00:47:57,280 --> 00:48:00,600 Speaker 1: they're like, look, it's great to to to give people 930 00:48:00,640 --> 00:48:03,280 Speaker 1: the feeling that they're you know, touring a haunted museum 931 00:48:03,360 --> 00:48:05,439 Speaker 1: or something on their way to ride, but we also 932 00:48:05,480 --> 00:48:07,919 Speaker 1: need to remind them of how far they've come. Yeah, 933 00:48:07,960 --> 00:48:10,319 Speaker 1: So lines, if you've got a big serpentine line for 934 00:48:10,320 --> 00:48:12,560 Speaker 1: a ride, maybe you should wind it around one way 935 00:48:12,640 --> 00:48:14,719 Speaker 1: mirrors so the people towards the front of the line 936 00:48:14,760 --> 00:48:16,640 Speaker 1: can look back, but the people at the back can't. 937 00:48:16,640 --> 00:48:19,040 Speaker 1: Look ahead exactly. That seems like that would be very 938 00:48:19,120 --> 00:48:21,360 Speaker 1: much in keeping with this study, Like people need to 939 00:48:21,400 --> 00:48:24,719 Speaker 1: know that there are a lot of people behind them 940 00:48:24,719 --> 00:48:27,399 Speaker 1: in line. Uh, I guess the only the main time 941 00:48:27,440 --> 00:48:29,160 Speaker 1: you need I don't know if it's possible, but the 942 00:48:29,200 --> 00:48:31,280 Speaker 1: main time you would want to hide this from them 943 00:48:31,400 --> 00:48:33,800 Speaker 1: is if there are very few people behind them in line, 944 00:48:34,160 --> 00:48:37,440 Speaker 1: because that's when they're they're not going to there's not 945 00:48:37,480 --> 00:48:39,400 Speaker 1: going to be the benefit of this effect in place 946 00:48:39,640 --> 00:48:42,719 Speaker 1: that is a bad feeling. So we've been focusing on. 947 00:48:43,040 --> 00:48:47,239 Speaker 1: You know, obviously, businesses want to try to avoid discomfort 948 00:48:47,280 --> 00:48:50,560 Speaker 1: and displeasure coming from having to wait in line, because 949 00:48:50,600 --> 00:48:53,560 Speaker 1: it's generally understood correctly that most of the time waiting 950 00:48:53,560 --> 00:48:56,479 Speaker 1: in the line is unpleasant, people want to spend less 951 00:48:56,480 --> 00:48:59,080 Speaker 1: time doing it. But there can be times where the 952 00:48:59,239 --> 00:49:02,320 Speaker 1: line itself is kind of pleasurable, at least in my experience, 953 00:49:02,320 --> 00:49:05,719 Speaker 1: and it's when there's a line that moves very quickly. Uh. 954 00:49:05,760 --> 00:49:07,200 Speaker 1: You know, you get in a line and you just 955 00:49:07,400 --> 00:49:09,319 Speaker 1: zip right through it. I mean that almost kind of 956 00:49:09,320 --> 00:49:12,799 Speaker 1: feels good. Yeah, yeah, especially if your expectation is that 957 00:49:13,000 --> 00:49:16,400 Speaker 1: it will likely move slowly. Um. So yeah, there's always 958 00:49:16,440 --> 00:49:19,800 Speaker 1: that that point, or there's often that point. It's unfortunately 959 00:49:19,840 --> 00:49:22,279 Speaker 1: not always that point. There's often that point where you're like, oh, wow, 960 00:49:22,400 --> 00:49:25,120 Speaker 1: that that line moved pretty quickly, or or one that 961 00:49:25,200 --> 00:49:27,360 Speaker 1: I often find myself saying is oh, it looks like 962 00:49:27,400 --> 00:49:29,400 Speaker 1: we got here at the right time. That one, especially 963 00:49:29,440 --> 00:49:32,400 Speaker 1: if you you find yourself pretty far ahead in the 964 00:49:32,400 --> 00:49:34,600 Speaker 1: line or there are a lot of people behind you. Um, 965 00:49:34,760 --> 00:49:36,759 Speaker 1: then you you you kind of pat yourself in the back. 966 00:49:36,800 --> 00:49:38,160 Speaker 1: You're like, oh, yeah, hit it at the right time, 967 00:49:38,239 --> 00:49:40,480 Speaker 1: right before the lynch rush. I think I saw that 968 00:49:40,560 --> 00:49:46,120 Speaker 1: recently on a like meme list of things Dad say. Yeah, well, 969 00:49:46,160 --> 00:49:48,719 Speaker 1: you know, um, as a parent especially, you're always having 970 00:49:48,719 --> 00:49:51,759 Speaker 1: to put positive spins on a situation, UH, where that 971 00:49:51,840 --> 00:49:53,400 Speaker 1: the child may think it's the the end of the 972 00:49:53,440 --> 00:49:55,719 Speaker 1: world that you're waiting at all on anything, and you 973 00:49:55,760 --> 00:49:57,959 Speaker 1: have to say, well, hey, look look at the people 974 00:49:57,960 --> 00:50:00,520 Speaker 1: behind us. You know, look how far we've come, Look 975 00:50:00,520 --> 00:50:03,920 Speaker 1: how fast this line is moving, et cetera. Accentuate the positive. 976 00:50:04,840 --> 00:50:07,480 Speaker 1: So we'll probably get into this more in the next 977 00:50:07,520 --> 00:50:09,400 Speaker 1: part of the series, but one thing I wanted to 978 00:50:09,400 --> 00:50:12,439 Speaker 1: mention before we wrap up today is uh is one 979 00:50:12,480 --> 00:50:16,799 Speaker 1: example of the difference between objective weight times and perceived 980 00:50:16,880 --> 00:50:20,040 Speaker 1: weight times. Uh, they're just tons of studies that have 981 00:50:20,120 --> 00:50:22,080 Speaker 1: been done on all different kinds of things you can 982 00:50:22,120 --> 00:50:26,280 Speaker 1: do to make weight times in various forms of queuing 983 00:50:26,560 --> 00:50:30,399 Speaker 1: feel longer or shorter. Obviously, usually businesses want to find 984 00:50:30,400 --> 00:50:33,840 Speaker 1: ways to make them feel shorter. And a one strange 985 00:50:33,840 --> 00:50:36,800 Speaker 1: one I came across was a study by Steve Oakes 986 00:50:36,880 --> 00:50:40,160 Speaker 1: published in the Journal's Psychology and Marketing in two thousand 987 00:50:40,239 --> 00:50:45,160 Speaker 1: three called musical tempo and waiting perceptions. So you call 988 00:50:45,200 --> 00:50:47,680 Speaker 1: in for customer service on something, you're on the phone, 989 00:50:47,840 --> 00:50:50,080 Speaker 1: what what do they do while you're waiting on the phone. 990 00:50:50,560 --> 00:50:53,680 Speaker 1: Most of the time you get some music right right, yeah, 991 00:50:53,719 --> 00:50:55,719 Speaker 1: And if it's and if it's an episode of The Simpsons, 992 00:50:55,760 --> 00:50:58,360 Speaker 1: it will be something that is kind of cheekily connected 993 00:50:58,480 --> 00:51:00,719 Speaker 1: to the thing you're waiting on, right, oh yeah, Like 994 00:51:00,719 --> 00:51:02,960 Speaker 1: when they call in with the Krusty the clown doll 995 00:51:03,080 --> 00:51:05,839 Speaker 1: that's trying to kill Homer and it's singing everybody loves 996 00:51:05,840 --> 00:51:09,960 Speaker 1: the clown so why don't you? Um, Yeah, there's often 997 00:51:10,040 --> 00:51:12,239 Speaker 1: stuff like that, But you might wonder, Okay, what kind 998 00:51:12,280 --> 00:51:14,600 Speaker 1: of what kind of thought goes into choosing the music 999 00:51:14,719 --> 00:51:16,759 Speaker 1: that's that's on the line. I mean, maybe no thought. 1000 00:51:16,760 --> 00:51:19,080 Speaker 1: It might just be random, who knows what different businesses do, 1001 00:51:19,239 --> 00:51:22,799 Speaker 1: but there could be some actual research informing what the 1002 00:51:22,880 --> 00:51:28,520 Speaker 1: musical selections are. Because this study found a real relationship 1003 00:51:28,680 --> 00:51:33,640 Speaker 1: between people's satisfaction with weight times, and they're the perceived 1004 00:51:33,920 --> 00:51:38,000 Speaker 1: duration of weight times based on how fast or slow 1005 00:51:38,200 --> 00:51:42,080 Speaker 1: the music was the beats per minute. So the author 1006 00:51:42,120 --> 00:51:44,520 Speaker 1: here did a thing that that was pretty clever instead 1007 00:51:44,560 --> 00:51:48,840 Speaker 1: of having to instead of playing different, you know, selected 1008 00:51:48,920 --> 00:51:52,560 Speaker 1: songs from popular music which people might already have associations 1009 00:51:52,600 --> 00:51:55,799 Speaker 1: with that could screw things up. Instead, the author here 1010 00:51:55,840 --> 00:52:01,360 Speaker 1: he used digital technology to play the same instrumental music 1011 00:52:01,480 --> 00:52:06,400 Speaker 1: samples with and with variability by tempo, just to isolate 1012 00:52:06,440 --> 00:52:09,560 Speaker 1: the variable of tempo and play basically the same songs 1013 00:52:09,680 --> 00:52:12,840 Speaker 1: faster or slower and see how that would affect people's 1014 00:52:13,040 --> 00:52:17,320 Speaker 1: perception of weight times. That they did this during UH 1015 00:52:17,520 --> 00:52:22,320 Speaker 1: students having to wait on undergraduate registration for for a college. 1016 00:52:22,719 --> 00:52:25,920 Speaker 1: And what the author found here was a significant positive 1017 00:52:25,960 --> 00:52:30,319 Speaker 1: relationship between the tempo of the background music and the 1018 00:52:30,440 --> 00:52:35,000 Speaker 1: perceived weight time. So what that means is slower tempo 1019 00:52:35,120 --> 00:52:38,760 Speaker 1: music made people feel like the weight time was less 1020 00:52:39,239 --> 00:52:42,400 Speaker 1: and faster tempo music made people feel like the weight 1021 00:52:42,520 --> 00:52:45,680 Speaker 1: was going on longer, which is actually a little counterintuitive 1022 00:52:45,719 --> 00:52:49,560 Speaker 1: to me. I might have assumed the opposite, but but 1023 00:52:49,600 --> 00:52:51,800 Speaker 1: it it is sort of in keeping with the kind 1024 00:52:51,840 --> 00:52:54,319 Speaker 1: of music I'm more often here when I'm waiting on 1025 00:52:54,400 --> 00:52:57,440 Speaker 1: hold to get something, you know, I'm queuing on the telephone. 1026 00:52:57,760 --> 00:53:00,120 Speaker 1: It's it's not usually they're not usually playing Moe her 1027 00:53:00,160 --> 00:53:02,359 Speaker 1: Head right, you know. It's it's something it's very like 1028 00:53:02,440 --> 00:53:05,959 Speaker 1: slow and languid. It's supposed to be relaxing sounding music. 1029 00:53:06,000 --> 00:53:09,040 Speaker 1: I remember, uh, way back when we were when we 1030 00:53:09,040 --> 00:53:11,080 Speaker 1: were owned by Discovery and we had to call in 1031 00:53:11,160 --> 00:53:14,080 Speaker 1: for a meeting. There was some old music in the 1032 00:53:14,080 --> 00:53:17,200 Speaker 1: waiting room for for our meeting software, and one of 1033 00:53:17,239 --> 00:53:20,040 Speaker 1: the songs was something I called the Spanish Villa song. Oh. 1034 00:53:20,160 --> 00:53:22,439 Speaker 1: It was kind of a Spanish guitar type thing. Yeah, yeah, 1035 00:53:22,560 --> 00:53:25,040 Speaker 1: but it was very it was very like you know, 1036 00:53:25,080 --> 00:53:28,160 Speaker 1: a nap on a sunny afternoon. Yeah. Yeah. And it 1037 00:53:28,200 --> 00:53:30,520 Speaker 1: makes sense. I mean, I think it makes perfect sense 1038 00:53:30,520 --> 00:53:33,239 Speaker 1: because I think of like a nice, fast tempo song. 1039 00:53:33,320 --> 00:53:36,640 Speaker 1: I think of the BGS staying Alive, and like, that's 1040 00:53:36,640 --> 00:53:38,840 Speaker 1: a song when you hear it, if you hear it 1041 00:53:38,880 --> 00:53:41,240 Speaker 1: while you're walking. You were going to quicken your pace 1042 00:53:41,640 --> 00:53:44,080 Speaker 1: and walk along with that song. It's a song that 1043 00:53:44,120 --> 00:53:46,600 Speaker 1: makes you feel like you're getting stuff done, you're going 1044 00:53:46,680 --> 00:53:50,120 Speaker 1: places in life. It is the complete opposite of what 1045 00:53:50,560 --> 00:53:54,640 Speaker 1: waiting on hold feels like. So it it does seem 1046 00:53:54,680 --> 00:53:57,280 Speaker 1: like like playing staying alive would be a terrible idea 1047 00:53:57,520 --> 00:54:01,680 Speaker 1: for any kind of you know, on whole music situation. Yeah, 1048 00:54:01,719 --> 00:54:03,600 Speaker 1: I guess you're right about that. I guess I just 1049 00:54:03,640 --> 00:54:06,440 Speaker 1: wouldn't have thought that. But so there is a wrinkle 1050 00:54:06,520 --> 00:54:10,440 Speaker 1: to this though, the effect of the music tempo on 1051 00:54:10,560 --> 00:54:14,839 Speaker 1: perceived weight times is dependent on the objective length of 1052 00:54:14,880 --> 00:54:17,480 Speaker 1: the weight time, so it breaks down like this. For 1053 00:54:17,719 --> 00:54:21,400 Speaker 1: short weights defined in the study is between four and 1054 00:54:21,560 --> 00:54:26,160 Speaker 1: fifteen minutes, slow music not only reduced perceived weight time, 1055 00:54:26,280 --> 00:54:31,440 Speaker 1: it reduced perceived weight time below objective weight time. So 1056 00:54:31,480 --> 00:54:34,800 Speaker 1: if you're waiting less than fifteen minutes, slow tempo music 1057 00:54:34,880 --> 00:54:37,840 Speaker 1: on average actually made the weight feel shorter than it 1058 00:54:37,960 --> 00:54:43,320 Speaker 1: actually was, whereas fast tempo music made it feel significantly 1059 00:54:43,360 --> 00:54:45,960 Speaker 1: longer than that, and then the control with no music 1060 00:54:46,000 --> 00:54:48,440 Speaker 1: made it feel even longer than the fast tempo music. 1061 00:54:48,640 --> 00:54:52,319 Speaker 1: So no music was the worst condition of all interesting. Yeah. Yeah, 1062 00:54:52,360 --> 00:54:55,279 Speaker 1: no music would be the worst, it seems, because then 1063 00:54:55,320 --> 00:54:57,520 Speaker 1: you don't even know if you're on hold anymore, right, 1064 00:54:57,840 --> 00:54:59,520 Speaker 1: Like the music lets me not even if the music 1065 00:54:59,560 --> 00:55:02,560 Speaker 1: were were incorrect, if the music were like fast paced 1066 00:55:03,080 --> 00:55:06,279 Speaker 1: and making it everything stretch out more, at least I 1067 00:55:06,360 --> 00:55:08,680 Speaker 1: know that I'm still connected. Right. Oh that that's a 1068 00:55:08,680 --> 00:55:12,280 Speaker 1: good point for telephone examples of this especially. Yeah. Um, 1069 00:55:12,320 --> 00:55:16,200 Speaker 1: But so the interesting thing was the benefits of slow 1070 00:55:16,239 --> 00:55:20,680 Speaker 1: tempo music over fast tempo music disappeared with longer waits. 1071 00:55:20,800 --> 00:55:23,640 Speaker 1: So once you get into between eighteen and twenty five 1072 00:55:23,680 --> 00:55:27,640 Speaker 1: minutes of waiting, Uh, suddenly the slow tempo music getting 1073 00:55:27,640 --> 00:55:32,200 Speaker 1: any better than fast tempo music. Though maybe both conditions 1074 00:55:32,200 --> 00:55:34,480 Speaker 1: of having music or a little bit better than no 1075 00:55:34,640 --> 00:55:38,400 Speaker 1: music at all. Okay, makes sense? All right, Well, I 1076 00:55:38,440 --> 00:55:40,120 Speaker 1: think we need to cut it there for part one, 1077 00:55:40,160 --> 00:55:42,080 Speaker 1: but we're gonna be back in another part to talk 1078 00:55:42,120 --> 00:55:45,040 Speaker 1: about all kinds of other things about queuing. Yeah. Now, 1079 00:55:45,080 --> 00:55:46,920 Speaker 1: certainly if you have thoughts, go ahead and send them in, 1080 00:55:46,960 --> 00:55:49,520 Speaker 1: though you know your experience with with waiting in line 1081 00:55:49,920 --> 00:55:51,480 Speaker 1: and how they match up with some of what we've 1082 00:55:51,480 --> 00:55:54,560 Speaker 1: discussed here. Uh, and yeah, join us for the next episode. 1083 00:55:54,560 --> 00:55:57,080 Speaker 1: We will continue the journey in the meantime, If you 1084 00:55:57,080 --> 00:55:58,560 Speaker 1: would like to check out other episodes of Stuff to 1085 00:55:58,560 --> 00:55:59,800 Speaker 1: Blow Your Mind, you'll find them in the Stuff to 1086 00:55:59,800 --> 00:56:03,120 Speaker 1: Blow Your Mind feed, which is the podcast feed you 1087 00:56:03,120 --> 00:56:06,200 Speaker 1: can find wherever you get your podcasts, wherever that happens 1088 00:56:06,200 --> 00:56:08,239 Speaker 1: to be. We just asked you rate, review, and subscribe. 1089 00:56:08,239 --> 00:56:10,560 Speaker 1: You can check out core episodes on Tuesdays and Thursdays, 1090 00:56:10,840 --> 00:56:13,759 Speaker 1: Artifact on Wednesday, We've got a little listener mail for you. 1091 00:56:13,800 --> 00:56:16,360 Speaker 1: On Mondays and Fridays, Is Weird How Cinema? Those are 1092 00:56:16,400 --> 00:56:18,440 Speaker 1: the episodes where we don't really talk about the science 1093 00:56:18,440 --> 00:56:20,320 Speaker 1: and the culture so much as we just talk about 1094 00:56:20,360 --> 00:56:22,880 Speaker 1: some weird movie and maybe tying a little science and 1095 00:56:22,920 --> 00:56:25,080 Speaker 1: culture if we want. But this is just our way 1096 00:56:25,120 --> 00:56:27,719 Speaker 1: of closing out the week. Huge thanks as always to 1097 00:56:27,760 --> 00:56:31,160 Speaker 1: our excellent audio producer Seth Nicholas Johnson. If you would 1098 00:56:31,160 --> 00:56:33,080 Speaker 1: like to get in touch with us with feedback on 1099 00:56:33,080 --> 00:56:35,319 Speaker 1: this episode or any other, to suggest a topic for 1100 00:56:35,360 --> 00:56:37,400 Speaker 1: the future, or just to say hello, you can email 1101 00:56:37,480 --> 00:56:48,400 Speaker 1: us at contact. That's Stuff to Blow your Mind dot com. 1102 00:56:48,520 --> 00:56:50,960 Speaker 1: Stuff to Blow Your Mind is production of I Heart Radio. 1103 00:56:51,360 --> 00:56:53,680 Speaker 1: For more podcasts for My Heart Radio, visit the iHeart 1104 00:56:53,719 --> 00:56:56,480 Speaker 1: radio app, Apple podcasts, or wherever you're listening to your 1105 00:56:56,480 --> 00:57:09,680 Speaker 1: favorite shows. Blah blah blah. Busy point to four foot 1106 00:57:12,000 --> 00:57:12,880 Speaker 1: FO