1 00:00:04,240 --> 00:00:05,960 Speaker 1: There Are No Girls on the Internet. As a production 2 00:00:06,000 --> 00:00:13,520 Speaker 1: of iHeartRadio and Unbossed Creative. I'm Bridge Todd, and this 3 00:00:13,600 --> 00:00:18,600 Speaker 1: is there are No Girls on the Internet. Okay, So, Mike, 4 00:00:18,920 --> 00:00:21,760 Speaker 1: as you know, in our last news roundups, you and 5 00:00:21,800 --> 00:00:24,280 Speaker 1: I got a little bit heated about our respective thoughts 6 00:00:24,320 --> 00:00:28,440 Speaker 1: on so self checkout kiosks in retail stores. I was surprised. 7 00:00:28,520 --> 00:00:31,560 Speaker 1: I thought, certainly everybody hates these things as much as 8 00:00:31,560 --> 00:00:33,720 Speaker 1: I do. I was surprised to find that was not 9 00:00:33,800 --> 00:00:36,559 Speaker 1: the case. You had a different position. So my position 10 00:00:36,760 --> 00:00:41,440 Speaker 1: was that those self checkout kiosks in Target, Walmart, grocery stores, 11 00:00:41,440 --> 00:00:45,479 Speaker 1: whatever they generally need to involve a human to work properly. 12 00:00:46,080 --> 00:00:48,120 Speaker 1: I don't think they're that much more efficient or that 13 00:00:48,200 --> 00:00:51,400 Speaker 1: much more fast. And I also didn't think the old 14 00:00:51,440 --> 00:00:54,560 Speaker 1: system of just human cashiers was that bad, although I 15 00:00:54,600 --> 00:00:57,360 Speaker 1: have come to sort of update that position since hearing 16 00:00:57,440 --> 00:01:00,000 Speaker 1: the feedback that listeners have. So that is my position, 17 00:01:00,120 --> 00:01:03,240 Speaker 1: and when I sat down to do that episode, I 18 00:01:03,320 --> 00:01:05,959 Speaker 1: was surprised. If I but you have a completely different position. 19 00:01:06,319 --> 00:01:07,520 Speaker 1: Would you like to articulate it? 20 00:01:07,959 --> 00:01:11,120 Speaker 2: Sure, it's not completely different, because your first point that 21 00:01:11,160 --> 00:01:13,800 Speaker 2: the machines require a human to operate them. We agree 22 00:01:13,800 --> 00:01:17,319 Speaker 2: on that. I think everyone agrees that a human still 23 00:01:17,360 --> 00:01:20,040 Speaker 2: needs to be involved even if it's a self checkout. However, 24 00:01:20,920 --> 00:01:26,600 Speaker 2: we disagree that I think that those self checkout machines 25 00:01:27,959 --> 00:01:31,119 Speaker 2: or some sort of self checkout system have a place 26 00:01:31,200 --> 00:01:36,000 Speaker 2: in polite society, and that they are not inherently bad. 27 00:01:36,440 --> 00:01:39,240 Speaker 2: They are not destroying, you know, the fabric of what 28 00:01:39,280 --> 00:01:42,640 Speaker 2: makes us who we are. They are just a useful 29 00:01:42,720 --> 00:01:46,880 Speaker 2: tool that can help us check out with our items. 30 00:01:47,319 --> 00:01:50,120 Speaker 1: So that is something that I want to get into today, 31 00:01:50,240 --> 00:01:53,000 Speaker 1: because that episode was just a you know, one story 32 00:01:53,040 --> 00:01:55,120 Speaker 1: of a larger news round up with other stories, and 33 00:01:55,160 --> 00:01:57,800 Speaker 1: so I wanted to revisit the issue and highlight a 34 00:01:57,840 --> 00:01:59,560 Speaker 1: few of the angles that we didn't have time to 35 00:01:59,560 --> 00:02:02,480 Speaker 1: get into, and also hear from some of you listeners 36 00:02:02,480 --> 00:02:05,880 Speaker 1: on your thoughts on self checkouts versus human checkouts. The 37 00:02:05,920 --> 00:02:08,360 Speaker 1: thing that you just said about whether or not self 38 00:02:08,440 --> 00:02:10,839 Speaker 1: checkout is sort of tearing at the fabric of who 39 00:02:10,840 --> 00:02:14,360 Speaker 1: we are as people. For whatever reason, I realized, after 40 00:02:14,400 --> 00:02:18,280 Speaker 1: doing some deep thought that I carry that as like 41 00:02:18,320 --> 00:02:21,760 Speaker 1: a worldview, and it's a worldview that I carried completely 42 00:02:21,800 --> 00:02:24,480 Speaker 1: unchallenged until doing this episode. Do you know what I mean, 43 00:02:24,520 --> 00:02:27,600 Speaker 1: I just automatically assumed, well, certainly this is a sign 44 00:02:27,639 --> 00:02:31,679 Speaker 1: of society and decay. And doing this episode was the 45 00:02:31,720 --> 00:02:33,360 Speaker 1: first time that I really had to step back and 46 00:02:33,480 --> 00:02:36,280 Speaker 1: challenge why that was an automatic assumption on my part. 47 00:02:36,560 --> 00:02:40,040 Speaker 2: Yeah, I agree. I also brought a lot of unchallenged 48 00:02:40,160 --> 00:02:44,000 Speaker 2: assumptions to this conversation, And I really appreciate the listeners 49 00:02:44,040 --> 00:02:45,960 Speaker 2: who wrote in because some of them had some really 50 00:02:46,040 --> 00:02:48,839 Speaker 2: like thoughtful andsightful things to say that I hadn't thought 51 00:02:48,840 --> 00:02:50,720 Speaker 2: about it. I think you hadn't thought about And one 52 00:02:50,760 --> 00:02:53,440 Speaker 2: of the other interesting things about this story is, like 53 00:02:53,440 --> 00:02:55,840 Speaker 2: you said, it was just one story of a news roundup, 54 00:02:55,919 --> 00:02:58,600 Speaker 2: like kind of a throwaway, but like it turned out 55 00:02:58,639 --> 00:03:01,680 Speaker 2: that you and I both had pretty strong opinions about it, 56 00:03:02,080 --> 00:03:05,880 Speaker 2: and listeners did as well. And I think this might 57 00:03:05,960 --> 00:03:11,840 Speaker 2: be the segment that has received like the most listener 58 00:03:12,600 --> 00:03:15,080 Speaker 2: feedback of anything that we've ever done of this show. 59 00:03:15,120 --> 00:03:18,160 Speaker 2: So it's launching it in twenty twenty, which is surprising 60 00:03:18,200 --> 00:03:20,680 Speaker 2: because it's such a I don't know, I don't want 61 00:03:20,680 --> 00:03:22,840 Speaker 2: to say, a non issue, but like you know, at 62 00:03:22,840 --> 00:03:26,560 Speaker 2: the presidential debate stage, they're not talking about self checkout machines. 63 00:03:26,760 --> 00:03:27,919 Speaker 3: You know they should be. 64 00:03:28,480 --> 00:03:31,120 Speaker 2: Maybe they should, maybe they'd win some votes, but maybe 65 00:03:31,120 --> 00:03:33,800 Speaker 2: it's a dangerous issue. I don't know. But it's not 66 00:03:33,919 --> 00:03:36,800 Speaker 2: like life or death, right. There's something sort of mundane 67 00:03:36,880 --> 00:03:40,320 Speaker 2: about it. But for some reason, we're we all have 68 00:03:40,440 --> 00:03:42,360 Speaker 2: a lot to say about it. And I guess I've 69 00:03:42,360 --> 00:03:45,040 Speaker 2: been thinking about why that is. You know, is it 70 00:03:45,120 --> 00:03:48,680 Speaker 2: the university universality of it? Like every person can relate 71 00:03:48,720 --> 00:03:51,560 Speaker 2: to everybody buys groceries. The question of which line do 72 00:03:51,640 --> 00:03:54,640 Speaker 2: I get in is just one of a thousand tiny 73 00:03:54,680 --> 00:03:56,680 Speaker 2: decisions that we have to make every day that is 74 00:03:56,720 --> 00:03:59,200 Speaker 2: like sort of exhausting and like sort of low stakes, 75 00:03:59,240 --> 00:04:03,160 Speaker 2: but all so like choosing wrong could mean the difference 76 00:04:03,200 --> 00:04:05,760 Speaker 2: of like ten minutes of standing in line, which is 77 00:04:05,800 --> 00:04:07,480 Speaker 2: like the worst thing that could possibly happen to a 78 00:04:07,480 --> 00:04:10,560 Speaker 2: person when they're standing in line. So there's a lot here. 79 00:04:10,880 --> 00:04:12,800 Speaker 1: I felt so strongly about this issue that I was 80 00:04:12,800 --> 00:04:14,800 Speaker 1: willing to pull on my boots and go out into 81 00:04:14,840 --> 00:04:17,760 Speaker 1: the snow at six pm just to prove you wrong 82 00:04:17,800 --> 00:04:22,279 Speaker 1: about my self. Checkout feelings, and yeah, I completely agree 83 00:04:22,279 --> 00:04:24,720 Speaker 1: with you. This is We've never gotten this level of 84 00:04:24,800 --> 00:04:28,400 Speaker 1: passioned feedback from folks of all the episodes that we've done, 85 00:04:28,480 --> 00:04:30,000 Speaker 1: So let's get into some of these issues that we 86 00:04:30,040 --> 00:04:33,360 Speaker 1: didn't have time for in that episode. So one big 87 00:04:33,400 --> 00:04:35,240 Speaker 1: issue that I definitely want to start with is the 88 00:04:35,279 --> 00:04:38,719 Speaker 1: fact that I didn't know this self checkout aisles are 89 00:04:38,960 --> 00:04:42,160 Speaker 1: not generally very accessible. I read a story about a 90 00:04:42,160 --> 00:04:44,719 Speaker 1: woman who was visually impaired and she was trying to 91 00:04:44,800 --> 00:04:47,360 Speaker 1: use the self checkout, couldn't see the screen well enough 92 00:04:47,360 --> 00:04:49,479 Speaker 1: to check out, asked for help from the clerk, and 93 00:04:49,520 --> 00:04:52,000 Speaker 1: the clerk ended up just moving her to the human 94 00:04:52,160 --> 00:04:54,920 Speaker 1: checkout line instead, and so it set up the system 95 00:04:54,960 --> 00:04:58,839 Speaker 1: where shoppers with disabilities basically could not use the system 96 00:04:58,880 --> 00:05:01,839 Speaker 1: at all, which became a lawsuit. The National Federation of 97 00:05:01,839 --> 00:05:05,279 Speaker 1: the Blind sued Walmart, arguing that the company had violated 98 00:05:05,320 --> 00:05:08,200 Speaker 1: the Americans with Disabilities Act by excluding blind people from 99 00:05:08,279 --> 00:05:10,480 Speaker 1: using the service in the way that it was intended 100 00:05:10,760 --> 00:05:14,960 Speaker 1: independently and privately. So a federal judge in Maryland did 101 00:05:15,080 --> 00:05:18,080 Speaker 1: end up ruling in Walmart's favor. Walmart maintained that its 102 00:05:18,080 --> 00:05:21,160 Speaker 1: self checkout system is accessible because staff are trained to help, 103 00:05:21,520 --> 00:05:24,440 Speaker 1: but if disabled customers have to ask for assistance, not 104 00:05:24,560 --> 00:05:27,640 Speaker 1: only will the transaction likely take longer, they also lose 105 00:05:27,640 --> 00:05:30,400 Speaker 1: the option to keep their purchases private. Privacy is a 106 00:05:30,440 --> 00:05:33,400 Speaker 1: reason why someone might use self checkout over a human checkout. 107 00:05:33,520 --> 00:05:36,960 Speaker 1: So this benefit of self checkout being able to keep 108 00:05:37,000 --> 00:05:39,919 Speaker 1: whatever you're buying private is just not being offered to 109 00:05:40,040 --> 00:05:41,080 Speaker 1: all shoppers equally. 110 00:05:41,520 --> 00:05:43,000 Speaker 3: This I found so interesting. 111 00:05:43,040 --> 00:05:45,760 Speaker 1: So the Food Institute spoke to Nicki Shaw, who is 112 00:05:45,800 --> 00:05:49,080 Speaker 1: the US operations manager at storm Interface, a company that 113 00:05:49,120 --> 00:05:52,720 Speaker 1: creates assistive technology products at Taco Bell and McDonald's, and 114 00:05:53,160 --> 00:05:56,240 Speaker 1: Nicky said, having the option to check out independently is 115 00:05:56,320 --> 00:05:59,680 Speaker 1: unfortunately not available to all customers because of inaccessible point 116 00:05:59,680 --> 00:06:01,919 Speaker 1: of sale, which is like the machines that do the 117 00:06:02,000 --> 00:06:06,240 Speaker 1: checking out. By denying some customers this option, what message 118 00:06:06,279 --> 00:06:09,160 Speaker 1: is this retailer sending to those customers. I think that's 119 00:06:09,200 --> 00:06:12,200 Speaker 1: such a good point, Like it just sounds like accessibility 120 00:06:12,240 --> 00:06:15,120 Speaker 1: issues can be a big thing with self checkout if 121 00:06:15,160 --> 00:06:17,440 Speaker 1: not everybody can use them equally, which it sounds like 122 00:06:17,600 --> 00:06:18,120 Speaker 1: what's going on. 123 00:06:18,680 --> 00:06:21,760 Speaker 2: Yeah, that is a good point we're thinking about, And 124 00:06:22,680 --> 00:06:25,279 Speaker 2: you know, I have to wonder if the companies who 125 00:06:25,320 --> 00:06:31,479 Speaker 2: make these devices and systems we're being more mindful of accessibility, 126 00:06:31,520 --> 00:06:36,000 Speaker 2: would that lead to devices that work better for everyone, Right, 127 00:06:36,040 --> 00:06:39,080 Speaker 2: That's often something that is seen in I know, at 128 00:06:39,160 --> 00:06:43,479 Speaker 2: least like software design, that when you really focus on 129 00:06:43,800 --> 00:06:47,839 Speaker 2: making things accessible for a particular population that has specific needs, 130 00:06:48,480 --> 00:06:51,280 Speaker 2: the benefits are much broader than those people and you 131 00:06:51,360 --> 00:06:55,320 Speaker 2: end up with a nicer, better functioning system for everyone. Absolutely, 132 00:06:55,760 --> 00:06:59,760 Speaker 2: and also people with disabilities should be able to use them. 133 00:07:00,040 --> 00:07:01,719 Speaker 2: Interesting to think about what that might look like. 134 00:07:02,400 --> 00:07:05,560 Speaker 1: Yeah, but I really agree with Nicki Shaw that our 135 00:07:05,600 --> 00:07:11,040 Speaker 1: retailers saying that only certain shoppers get the benefit of 136 00:07:11,560 --> 00:07:14,480 Speaker 1: privacy at self checkout, And I think that's a fair 137 00:07:14,560 --> 00:07:18,280 Speaker 1: question to ask, Like, they probably wouldn't say that because 138 00:07:18,280 --> 00:07:19,960 Speaker 1: that would have to they would be admitting that they're 139 00:07:20,040 --> 00:07:23,040 Speaker 1: violating the Americans with Disabilities Act. But it's a fair 140 00:07:23,160 --> 00:07:26,200 Speaker 1: question to ask, like, some shoppers get the ability to 141 00:07:26,280 --> 00:07:28,760 Speaker 1: use self checkout to privately check out, and others just don't. 142 00:07:29,000 --> 00:07:29,760 Speaker 3: Is that what you're saying. 143 00:07:30,400 --> 00:07:32,880 Speaker 1: So we talked in that episode about how self checkout 144 00:07:32,960 --> 00:07:36,640 Speaker 1: might increased theft. However we really didn't get into kind 145 00:07:36,680 --> 00:07:41,800 Speaker 1: of my biggest concern around theft. Like retailer theft is 146 00:07:41,800 --> 00:07:45,000 Speaker 1: not an issue that I feel deeply strong about. It 147 00:07:45,040 --> 00:07:48,040 Speaker 1: doesn't like move me. However, when I was talking about theft. 148 00:07:48,040 --> 00:07:49,600 Speaker 1: I don't think we got into it. One of the 149 00:07:49,640 --> 00:07:52,440 Speaker 1: things I wanted to talk about is the potential risk 150 00:07:52,600 --> 00:07:56,840 Speaker 1: to shoppers being accused of theft from using self checkout, 151 00:07:57,000 --> 00:07:59,240 Speaker 1: even if they didn't actually steal anything or just like 152 00:08:00,120 --> 00:08:03,840 Speaker 1: scanned or forgot to scan something legitimately by mistake. Right, 153 00:08:04,200 --> 00:08:06,800 Speaker 1: So the reason why I want to bring this up, 154 00:08:07,000 --> 00:08:09,520 Speaker 1: I'll say this, take this with a massive grain of salt, 155 00:08:09,560 --> 00:08:11,480 Speaker 1: because I did see it on TikTok, and like I 156 00:08:11,520 --> 00:08:16,239 Speaker 1: wasn't able to you know, confirm everything this TikToker said. However, 157 00:08:16,800 --> 00:08:19,600 Speaker 1: I did see this TikTok from Carrie Jerrigan, who is 158 00:08:19,640 --> 00:08:22,600 Speaker 1: a criminal defense attorney at a TikTok personality, who warned 159 00:08:22,600 --> 00:08:24,840 Speaker 1: that she doesn't think that anybody should use self checkout 160 00:08:24,880 --> 00:08:27,200 Speaker 1: because it is very easy to be accused of retail 161 00:08:27,240 --> 00:08:30,560 Speaker 1: theft even if you just made a mistake or didn't 162 00:08:30,600 --> 00:08:33,640 Speaker 1: steal anything at all. Basically, she says that because people 163 00:08:33,679 --> 00:08:37,079 Speaker 1: who are intentionally stealing from self checkout are really good 164 00:08:37,120 --> 00:08:40,800 Speaker 1: at it, like they've really sharp, like honed their tactics, 165 00:08:40,840 --> 00:08:42,840 Speaker 1: and I guess it's difficult to catch at this point. 166 00:08:42,960 --> 00:08:46,960 Speaker 1: Because of that, retailers have no sympathy for anybody who 167 00:08:47,040 --> 00:08:50,480 Speaker 1: makes just like a common mistake with their self checkout. 168 00:08:51,000 --> 00:08:53,920 Speaker 1: Retailers are essentially focusing on people who maybe forgot to 169 00:08:54,000 --> 00:08:56,240 Speaker 1: scan that big thing of coke that you put under 170 00:08:56,280 --> 00:08:59,280 Speaker 1: the under the shopping cart or whatever, or people who 171 00:08:59,360 --> 00:09:02,760 Speaker 1: legitimately did and still anything, and then blaming those people 172 00:09:02,840 --> 00:09:06,000 Speaker 1: for inventory loss. So this attorney says that retailers will 173 00:09:06,080 --> 00:09:08,240 Speaker 1: later check their inventory and if they come up short, 174 00:09:08,440 --> 00:09:10,800 Speaker 1: they will go after people who made a legit transaction 175 00:09:11,000 --> 00:09:13,520 Speaker 1: of that I am, she says, So they will begin 176 00:09:13,559 --> 00:09:15,720 Speaker 1: watching hours and hours of video to see the last 177 00:09:15,720 --> 00:09:18,560 Speaker 1: person who checked out with the Mario Lego set, because 178 00:09:18,559 --> 00:09:21,720 Speaker 1: they're two Mario Lego sets short, and for some reason 179 00:09:21,760 --> 00:09:24,280 Speaker 1: they pinpoint that they think you did it. And because 180 00:09:24,320 --> 00:09:26,920 Speaker 1: of who these big box stores are, they usually have 181 00:09:27,000 --> 00:09:29,560 Speaker 1: to present very little evidence to get an affidavit for 182 00:09:29,640 --> 00:09:32,120 Speaker 1: warrant signed. The charges that could land you up to 183 00:09:32,160 --> 00:09:34,360 Speaker 1: a year in jail get filed, and then you are 184 00:09:34,400 --> 00:09:36,640 Speaker 1: fighting for your life trying to determine what day you 185 00:09:36,679 --> 00:09:39,560 Speaker 1: were at Walmart and what all you bought. I know that, 186 00:09:39,679 --> 00:09:43,800 Speaker 1: like I immediately crumple my receipt up and put it 187 00:09:43,800 --> 00:09:45,720 Speaker 1: in my pocket of my winter code and then like 188 00:09:45,760 --> 00:09:48,320 Speaker 1: hang it up in storage forever. So if somebody ever 189 00:09:48,720 --> 00:09:50,560 Speaker 1: was like, can you provide a receipt for what you 190 00:09:50,600 --> 00:09:53,800 Speaker 1: bought at Walmart two months ago, the answer would be 191 00:09:53,840 --> 00:09:56,600 Speaker 1: absolutely not. I would not be able to provide any 192 00:09:56,640 --> 00:09:57,679 Speaker 1: proof of that transaction. 193 00:09:58,520 --> 00:10:01,199 Speaker 2: Yeah, definitely not. I would I think they were joking 194 00:10:01,240 --> 00:10:03,000 Speaker 2: if they asked me, right. 195 00:10:02,880 --> 00:10:06,679 Speaker 1: And so that TikTok was probably the first time that 196 00:10:06,760 --> 00:10:10,160 Speaker 1: I ever started thinking deeply about self checkout and. 197 00:10:10,120 --> 00:10:11,800 Speaker 3: Sort of like what it means. 198 00:10:12,760 --> 00:10:15,640 Speaker 1: I don't have any data on this, but it wouldn't 199 00:10:15,640 --> 00:10:18,480 Speaker 1: be a massive surprise to me to find that that 200 00:10:18,559 --> 00:10:22,560 Speaker 1: kind of enforcement was not being equally applied. I would 201 00:10:22,559 --> 00:10:25,680 Speaker 1: have no trouble believing that some people are being looked 202 00:10:25,679 --> 00:10:27,360 Speaker 1: at a little bit harder when it comes to that 203 00:10:27,440 --> 00:10:30,000 Speaker 1: kind of thing. I also should say, you know, in 204 00:10:30,000 --> 00:10:32,520 Speaker 1: case folks don't know, like when you do check out 205 00:10:32,520 --> 00:10:35,120 Speaker 1: with self checkout, like you are being video recorded the 206 00:10:35,240 --> 00:10:38,160 Speaker 1: entire time, so you know, they definitely can pull back 207 00:10:38,240 --> 00:10:40,680 Speaker 1: video footage. And I'm sure it probably wouldn't be hard 208 00:10:40,720 --> 00:10:42,600 Speaker 1: for a target or a Walmart to be like, oh, 209 00:10:42,679 --> 00:10:45,280 Speaker 1: we think this person might have stolen something and then 210 00:10:45,800 --> 00:10:49,640 Speaker 1: provide video evidence that doesn't really show anything to get 211 00:10:49,640 --> 00:10:50,560 Speaker 1: that warrant signed. 212 00:10:51,080 --> 00:10:54,000 Speaker 2: Yeah, I mean, I definitely assume when I'm in Target 213 00:10:54,040 --> 00:10:56,679 Speaker 2: that I'm being like videotaped all the time, especially at 214 00:10:56,720 --> 00:11:00,680 Speaker 2: self checkout. I would be so shocked if they were 215 00:11:00,720 --> 00:11:05,440 Speaker 2: to contact me like weeks or months after leaving. That 216 00:11:05,480 --> 00:11:08,240 Speaker 2: seems so surprising. I'm curious how often that happens. 217 00:11:08,920 --> 00:11:11,199 Speaker 1: So I was too, you know, I just saw this 218 00:11:11,240 --> 00:11:13,559 Speaker 1: one TikTok from a lawyer. I did confirm she is 219 00:11:13,600 --> 00:11:15,280 Speaker 1: a lawyer, but you know, I was like, this is 220 00:11:15,480 --> 00:11:18,800 Speaker 1: really happening. So a deep Google search did bring up 221 00:11:18,800 --> 00:11:22,120 Speaker 1: a few posts of people on legal message boards claiming 222 00:11:22,160 --> 00:11:24,800 Speaker 1: that they were used of stealing from using self checkout 223 00:11:24,880 --> 00:11:27,840 Speaker 1: when they hadn't actually sole and that they ended up 224 00:11:27,880 --> 00:11:30,400 Speaker 1: meeting to deal with like lawyers, fees and like it 225 00:11:30,440 --> 00:11:32,520 Speaker 1: took lots of time for them to sort it out. 226 00:11:32,559 --> 00:11:34,880 Speaker 1: So it does kind of seem like this might be 227 00:11:34,920 --> 00:11:38,400 Speaker 1: an issue that's happening. And ultimately this kind of gets 228 00:11:38,440 --> 00:11:40,920 Speaker 1: at one of my biggest beefs with self checkout, the 229 00:11:40,920 --> 00:11:44,160 Speaker 1: implication that me, as the shopper, should be the one 230 00:11:44,200 --> 00:11:47,720 Speaker 1: who is tasked with its responsibility in making sure that 231 00:11:47,760 --> 00:11:50,240 Speaker 1: everything is scanned correctly, and like I'm paying the amount 232 00:11:50,280 --> 00:11:51,000 Speaker 1: I'm supposed to pay. 233 00:11:51,240 --> 00:11:53,400 Speaker 3: Like, I know that people like to shit. 234 00:11:53,240 --> 00:11:56,040 Speaker 1: On retail employees, but I have better retail employee. 235 00:11:56,120 --> 00:11:57,200 Speaker 3: It is important work. 236 00:11:57,480 --> 00:12:00,120 Speaker 1: Those jobs exist for a reason, and so like, I 237 00:12:00,120 --> 00:12:01,560 Speaker 1: don't know that we should be so picked to just 238 00:12:01,679 --> 00:12:04,760 Speaker 1: outsource those jobs to the very same people that we 239 00:12:04,960 --> 00:12:07,439 Speaker 1: like can't even trust to put their shopping carts away 240 00:12:07,800 --> 00:12:11,360 Speaker 1: consistently when they go grocery shopping, and just trust that 241 00:12:12,080 --> 00:12:14,280 Speaker 1: the populace is going to be able to do this correctly. 242 00:12:14,320 --> 00:12:16,839 Speaker 3: Like, I'm not trained at it. I might be distracted. 243 00:12:17,080 --> 00:12:20,960 Speaker 1: I'm not going in thinking, you know, listening carefully to 244 00:12:21,080 --> 00:12:23,200 Speaker 1: these beeps and what actually gets beeped and put in 245 00:12:23,240 --> 00:12:25,320 Speaker 1: the bag? That is a that is something that is 246 00:12:25,400 --> 00:12:27,960 Speaker 1: that if I do incorrectly, I could wind up with 247 00:12:28,520 --> 00:12:31,320 Speaker 1: legal fees and pork costs or whatever. That does not 248 00:12:31,440 --> 00:12:32,880 Speaker 1: sound like a great setup to me. 249 00:12:33,880 --> 00:12:37,640 Speaker 2: Yeah it doesn't. But you know, again, I am curious 250 00:12:37,760 --> 00:12:41,720 Speaker 2: how many cases there are like this where someone legitimately 251 00:12:42,200 --> 00:12:44,880 Speaker 2: made some sort of mistake or error where they thought 252 00:12:44,920 --> 00:12:46,760 Speaker 2: they had paid for a thing but they didn't pay 253 00:12:46,800 --> 00:12:50,000 Speaker 2: for it, and then they end up like getting charged 254 00:12:50,360 --> 00:12:53,960 Speaker 2: with theft. Maybe maybe it is happening a lot. I 255 00:12:53,960 --> 00:12:56,680 Speaker 2: don't know, but I guess a lot of this debate 256 00:12:56,800 --> 00:12:59,640 Speaker 2: again circles back in the most low stakes way possible 257 00:12:59,679 --> 00:13:02,440 Speaker 2: to like what kind of society do we want to 258 00:13:02,480 --> 00:13:08,599 Speaker 2: live in? And it doesn't seem completely far fetched to 259 00:13:08,640 --> 00:13:13,440 Speaker 2: me that like adult shoppers should understand that, like you 260 00:13:13,760 --> 00:13:15,640 Speaker 2: have to pay for the things that you want to 261 00:13:15,679 --> 00:13:19,040 Speaker 2: take out of the store and like operate this machine 262 00:13:19,080 --> 00:13:22,439 Speaker 2: in a way that makes that how it goes down, right, 263 00:13:22,480 --> 00:13:25,120 Speaker 2: Like it's yeah, maybe I haven't like had a training 264 00:13:25,160 --> 00:13:28,040 Speaker 2: in this software, but like at the Giant, I've used 265 00:13:28,040 --> 00:13:32,200 Speaker 2: those shelf checkouts like hundreds, if not thousands of times, 266 00:13:32,480 --> 00:13:35,480 Speaker 2: and like any other piece of software, yeah, it takes 267 00:13:35,559 --> 00:13:39,480 Speaker 2: a little bit of like experience to try to figure 268 00:13:39,480 --> 00:13:43,400 Speaker 2: out how to work it, but you know it's achievable. 269 00:13:44,080 --> 00:13:46,120 Speaker 3: I don't want this to devolve into another argument. 270 00:13:46,200 --> 00:13:50,920 Speaker 2: I know, I know, I hold every every statement is 271 00:13:50,960 --> 00:13:52,679 Speaker 2: an opportunity to get into it. 272 00:13:52,960 --> 00:13:55,360 Speaker 1: Well, so I agree with you on the surface, right 273 00:13:55,400 --> 00:13:58,640 Speaker 1: that like, yeah, people, you shouldn't just go into Target 274 00:13:58,840 --> 00:14:01,280 Speaker 1: and expect to just walk out with stuff that you 275 00:14:01,600 --> 00:14:04,000 Speaker 1: haven't paid for all the like, do I really am 276 00:14:04,040 --> 00:14:05,720 Speaker 1: I really crying? Like Target has plenty of money. Am 277 00:14:05,720 --> 00:14:07,040 Speaker 1: I really like crying tears for Target? 278 00:14:08,000 --> 00:14:10,520 Speaker 2: It's not like we're talking about that CBS and Columbia Heighten. 279 00:14:11,440 --> 00:14:14,320 Speaker 3: That's right, the CV, that's where everything's free. 280 00:14:14,559 --> 00:14:17,440 Speaker 2: Yeah, just take what you want. Everything's free. 281 00:14:19,280 --> 00:14:23,320 Speaker 1: But like, I just think that efficiently checking out you 282 00:14:23,400 --> 00:14:27,200 Speaker 1: do have to bring a level of awareness that I 283 00:14:27,200 --> 00:14:29,360 Speaker 1: don't always have when I go into a Target, because 284 00:14:29,400 --> 00:14:31,800 Speaker 1: I'm not thinking of going into work, and so like 285 00:14:32,200 --> 00:14:34,480 Speaker 1: if you're not. If I often when I shop, I'm 286 00:14:34,480 --> 00:14:37,400 Speaker 1: listening to music or podcasts in my headphones, I'm not 287 00:14:37,440 --> 00:14:41,520 Speaker 1: necessarily listening for the beep beep beep of every item. 288 00:14:41,760 --> 00:14:43,640 Speaker 1: It is conceivable that you could put something in your 289 00:14:43,640 --> 00:14:46,160 Speaker 1: bag and not hear the beep if you're like a 290 00:14:46,360 --> 00:14:50,120 Speaker 1: new parent who hasn't had any sleep, and you're distracted 291 00:14:50,160 --> 00:14:52,440 Speaker 1: and your phone's going off and the kid is crying. Like, 292 00:14:53,040 --> 00:14:55,080 Speaker 1: I don't know that this is a widespread thing, but 293 00:14:55,160 --> 00:14:58,720 Speaker 1: I do think there are scenarios where perhaps that is 294 00:14:58,760 --> 00:15:03,280 Speaker 1: a burden that a consumer who is not at work 295 00:15:03,440 --> 00:15:06,000 Speaker 1: should not have to shoulder when they go in to 296 00:15:06,120 --> 00:15:09,080 Speaker 1: like pick up some items at Target, particularly if that 297 00:15:09,680 --> 00:15:12,800 Speaker 1: vernon could wind up with you having legitimate legal trouble 298 00:15:12,840 --> 00:15:13,200 Speaker 1: over it. 299 00:15:13,520 --> 00:15:17,320 Speaker 2: Yeah, these are two separate issues, both worthy of debate 300 00:15:17,360 --> 00:15:22,080 Speaker 2: and discussion. You know, is it ethical to ask shoppers 301 00:15:22,280 --> 00:15:27,440 Speaker 2: to scan their own items? And separately, should people be 302 00:15:27,520 --> 00:15:30,560 Speaker 2: prosecuted when they make legit mistakes? Seems like clearly the 303 00:15:30,560 --> 00:15:32,600 Speaker 2: answer to that second question is no. 304 00:15:33,320 --> 00:15:37,720 Speaker 3: Oh yeah, a thousand percent. So do you remember Andy Rooney. 305 00:15:38,080 --> 00:15:40,120 Speaker 2: All the time? Every day? I miss him so much. 306 00:15:40,320 --> 00:15:42,320 Speaker 1: So for people who don't know who Andy Rooney is, 307 00:15:42,440 --> 00:15:43,440 Speaker 1: God rest his soul. 308 00:15:43,800 --> 00:15:45,320 Speaker 3: Andy Rooney used to be on sixty Minutes. 309 00:15:45,320 --> 00:15:47,760 Speaker 1: He had a segment which that was literally just him 310 00:15:47,800 --> 00:15:51,000 Speaker 1: like complaining for twenty minutes, Like I will never forget 311 00:15:51,000 --> 00:15:53,200 Speaker 1: a segment where he just walks around a grocery store 312 00:15:53,520 --> 00:15:55,760 Speaker 1: and like picks up fruits that he doesn't like, and 313 00:15:55,760 --> 00:15:57,560 Speaker 1: it's like candalops. 314 00:15:57,320 --> 00:16:00,760 Speaker 3: Who need them. And meanwhile I'm like riveted. I'm like, oh, 315 00:16:00,840 --> 00:16:01,560 Speaker 3: this is great TV. 316 00:16:02,120 --> 00:16:04,920 Speaker 1: But there is a piece in the Washington Post that 317 00:16:05,000 --> 00:16:08,040 Speaker 1: could have been written by the spirit of Andy Rooney. 318 00:16:08,200 --> 00:16:11,320 Speaker 1: It is like one of those style pieces called Dear 319 00:16:11,400 --> 00:16:14,280 Speaker 1: grocery store Owners, I don't work for you. The whole 320 00:16:14,280 --> 00:16:16,400 Speaker 1: thing is snarky as hell, But this is the thing 321 00:16:16,440 --> 00:16:18,400 Speaker 1: I wanted to sort of tease out. The piece reads, 322 00:16:18,760 --> 00:16:21,280 Speaker 1: dear grocery store owners, have you seen me in the 323 00:16:21,280 --> 00:16:24,240 Speaker 1: break room? No, there's a reason I don't work for you. 324 00:16:24,520 --> 00:16:26,200 Speaker 1: I don't want to work for you. I was bad 325 00:16:26,240 --> 00:16:28,440 Speaker 1: at it as a middle schooler, and I'm worse now. 326 00:16:28,560 --> 00:16:30,880 Speaker 1: And then he goes on to say a lot of 327 00:16:30,880 --> 00:16:34,240 Speaker 1: stores position a receipt checker to see whether people actually 328 00:16:34,240 --> 00:16:36,560 Speaker 1: paid for all the stuff they have. Wait a second, 329 00:16:36,840 --> 00:16:39,200 Speaker 1: you set up this system, You made us do all 330 00:16:39,240 --> 00:16:41,560 Speaker 1: of this, So now that we've slogged our way through 331 00:16:41,560 --> 00:16:44,760 Speaker 1: our temp job with zero training, they're going to audit us. 332 00:16:45,240 --> 00:16:47,520 Speaker 1: And I think that that kind of gets at something 333 00:16:47,560 --> 00:16:51,200 Speaker 1: where nobody asked your average consumer whether or not this 334 00:16:51,320 --> 00:16:53,240 Speaker 1: is a dynamic they wanted to do. I guess you 335 00:16:53,240 --> 00:16:55,520 Speaker 1: have the choice when you get into the self checkout 336 00:16:55,520 --> 00:16:59,920 Speaker 1: line or the human line. Although at our target, oftentimes 337 00:17:00,120 --> 00:17:01,440 Speaker 1: you go in there late at night, there is no 338 00:17:01,560 --> 00:17:02,120 Speaker 1: human option. 339 00:17:02,240 --> 00:17:04,080 Speaker 3: Is just self check out. You and I both know 340 00:17:04,240 --> 00:17:04,800 Speaker 3: this to be true. 341 00:17:04,840 --> 00:17:07,280 Speaker 2: No, I don't know what's going on with the human 342 00:17:07,320 --> 00:17:09,920 Speaker 2: cashier lines at that target. They are a checkout option 343 00:17:09,960 --> 00:17:11,040 Speaker 2: of last resort for me. 344 00:17:12,200 --> 00:17:14,399 Speaker 1: So you're like, I would never rarely am I dealing 345 00:17:14,400 --> 00:17:15,600 Speaker 1: with the human line at. 346 00:17:15,440 --> 00:17:16,399 Speaker 3: That specific target. 347 00:17:16,600 --> 00:17:18,280 Speaker 2: But unless something has gone wrong. 348 00:17:18,320 --> 00:17:22,640 Speaker 1: Absolutely, But that thing that happens after you do self 349 00:17:22,720 --> 00:17:25,359 Speaker 1: checkout at some big box retailers, where then you have 350 00:17:25,400 --> 00:17:27,560 Speaker 1: to show them your receipt and they have to check 351 00:17:27,600 --> 00:17:28,879 Speaker 1: to see and maybe they have to put like a 352 00:17:28,920 --> 00:17:31,200 Speaker 1: little marker thing on it. That has been a source 353 00:17:31,240 --> 00:17:34,480 Speaker 1: of consternation for the public for a while. You've probably 354 00:17:34,520 --> 00:17:37,439 Speaker 1: seen videos of people like refusing to show their receipt. 355 00:17:37,600 --> 00:17:38,960 Speaker 3: Apparently from what I have read. 356 00:17:39,000 --> 00:17:40,879 Speaker 1: You know, I'm no lawyer, this is not legal advice, 357 00:17:40,920 --> 00:17:43,280 Speaker 1: but you don't actually have to stop and have that 358 00:17:43,320 --> 00:17:45,800 Speaker 1: interaction with the person who is like, can I see 359 00:17:45,800 --> 00:17:46,400 Speaker 1: your receipt? 360 00:17:46,440 --> 00:17:48,480 Speaker 3: I think that the fact that that. 361 00:17:48,520 --> 00:17:51,760 Speaker 1: Is a moment of frustration for so many people, I 362 00:17:51,800 --> 00:17:54,879 Speaker 1: think gets at what this Washington Post piece is talking about. 363 00:17:54,920 --> 00:17:57,360 Speaker 1: That people feel like, well, you asked me to scan 364 00:17:57,400 --> 00:17:58,240 Speaker 1: out my stuff, and now. 365 00:17:58,160 --> 00:17:59,640 Speaker 3: You don't even trust me to do it. Like, either 366 00:17:59,640 --> 00:18:00,680 Speaker 3: you trust me or you don't. 367 00:18:01,080 --> 00:18:02,720 Speaker 2: This is one spot where you and I see eye 368 00:18:02,720 --> 00:18:08,320 Speaker 2: to eye because I hate that, you know, I've a 369 00:18:08,720 --> 00:18:13,040 Speaker 2: I hate people like stopping me and you know, having 370 00:18:13,200 --> 00:18:18,199 Speaker 2: this interaction with a security person who is acting like 371 00:18:18,240 --> 00:18:20,440 Speaker 2: a copy even though they're not. I hate that, And 372 00:18:20,480 --> 00:18:22,960 Speaker 2: then they want me to like take all my stuff 373 00:18:23,000 --> 00:18:25,120 Speaker 2: out of my bag. I take a lot of care 374 00:18:25,160 --> 00:18:27,200 Speaker 2: when I pack my bags. And when I'm like done 375 00:18:27,240 --> 00:18:31,400 Speaker 2: with the checkout and carrying my fully packed bags, I'm 376 00:18:31,440 --> 00:18:34,159 Speaker 2: like ready to carry them home. I'm not ready to 377 00:18:34,480 --> 00:18:37,560 Speaker 2: imprompt to take all the contents out and show them 378 00:18:37,920 --> 00:18:42,359 Speaker 2: to some security goon uh to check me. So I 379 00:18:42,400 --> 00:18:44,440 Speaker 2: agree with you there. I don't understand why they can't 380 00:18:44,480 --> 00:18:46,480 Speaker 2: be doing that checking with all of the cameras that 381 00:18:46,480 --> 00:18:49,960 Speaker 2: they've got showing me from like five different angles while 382 00:18:50,000 --> 00:18:52,480 Speaker 2: I'm checking out, Like if they don't see me stealing 383 00:18:52,480 --> 00:18:56,240 Speaker 2: something when you know when I'm actually doing it, why 384 00:18:56,359 --> 00:18:58,520 Speaker 2: just do like these these random checks down the line. 385 00:18:58,760 --> 00:18:59,560 Speaker 2: Don't like it. 386 00:19:00,040 --> 00:19:03,359 Speaker 1: Let's talk about that, because retail chains are investing a 387 00:19:03,520 --> 00:19:07,240 Speaker 1: lot of money on like very serious kind of creepy 388 00:19:07,400 --> 00:19:10,520 Speaker 1: surveillance technology, and so it does seem to with it 389 00:19:10,560 --> 00:19:13,320 Speaker 1: if you have all of this technology to then be 390 00:19:13,440 --> 00:19:14,800 Speaker 1: like and then you have to go through this little 391 00:19:14,800 --> 00:19:17,000 Speaker 1: indignity of showing me your receipt and opening your bag 392 00:19:17,040 --> 00:19:19,040 Speaker 1: on top of it, it does seem a little much. 393 00:19:19,080 --> 00:19:24,080 Speaker 1: So Walmart uses what internally they call the mist scan detection, 394 00:19:24,480 --> 00:19:26,760 Speaker 1: which they say helps detect when an item lands in 395 00:19:26,800 --> 00:19:29,439 Speaker 1: a shopping bag without being scanned. And so they're basically 396 00:19:29,520 --> 00:19:33,200 Speaker 1: these AI powered visual scanners and cameras that are at 397 00:19:33,280 --> 00:19:35,959 Speaker 1: both the self checkout register and the registers run by 398 00:19:36,000 --> 00:19:39,280 Speaker 1: the store cashiers. There was at least at some point 399 00:19:39,640 --> 00:19:43,600 Speaker 1: use of facial recognition technology in Walmart. In twenty twenty two, 400 00:19:43,680 --> 00:19:46,800 Speaker 1: Walmart faced a lawsuit that was seeking class action status 401 00:19:47,119 --> 00:19:51,160 Speaker 1: a legend that Walmart violated Illinois's Biometric Privacy Act by 402 00:19:51,200 --> 00:19:54,959 Speaker 1: improperly using cameras in advanced video surveillance systems, as well 403 00:19:54,960 --> 00:19:58,720 Speaker 1: as software and databases provided by the facial recognition. 404 00:19:58,280 --> 00:19:59,879 Speaker 3: Company Clearview AI. 405 00:20:00,560 --> 00:20:03,800 Speaker 1: So Walmart spokesperson says that they were just testing out 406 00:20:04,080 --> 00:20:07,679 Speaker 1: facial recognition technology that they weren't actually like rolling it 407 00:20:07,720 --> 00:20:10,280 Speaker 1: out in the stores. But it does sound like all 408 00:20:10,320 --> 00:20:13,879 Speaker 1: parties agree that this facial recognition technology was being used. 409 00:20:14,119 --> 00:20:16,800 Speaker 1: We've already done so many episodes on why that technology 410 00:20:16,920 --> 00:20:20,400 Speaker 1: is janky, faulty, racist, sexist, like it just don't work, 411 00:20:20,440 --> 00:20:22,439 Speaker 1: really is what it is. And so if that's the 412 00:20:22,480 --> 00:20:26,520 Speaker 1: technology that you're kind of counting on or flirting with 413 00:20:26,840 --> 00:20:31,439 Speaker 1: to deter theft. It really presents a whole host of 414 00:20:31,520 --> 00:20:34,159 Speaker 1: issues because because it's really just not really reliable. 415 00:20:34,600 --> 00:20:36,960 Speaker 2: Yeah, facial recognition, as we've talked about on a bunch 416 00:20:36,960 --> 00:20:41,160 Speaker 2: of episodes, is like bad news reinforces a lot of 417 00:20:41,680 --> 00:20:46,879 Speaker 2: bad disparities, certainly in this context when it's you know, 418 00:20:47,080 --> 00:20:51,080 Speaker 2: one step away from somebody being charged with a crime. Yeah, 419 00:20:51,119 --> 00:20:53,879 Speaker 2: And you know, the point that it's a lot of 420 00:20:53,920 --> 00:20:57,479 Speaker 2: money in these invested in these systems, Yeah, can't argue 421 00:20:57,800 --> 00:20:58,200 Speaker 2: with that. 422 00:20:59,080 --> 00:21:03,119 Speaker 1: And that's sort of one of my questions Slash theories 423 00:21:03,320 --> 00:21:06,040 Speaker 1: is that it just that sounds like a lot of 424 00:21:06,080 --> 00:21:09,560 Speaker 1: investment in surveillance technology. And I feel like, if this 425 00:21:09,640 --> 00:21:12,240 Speaker 1: is the level of surveillance technology that you need to 426 00:21:12,280 --> 00:21:16,080 Speaker 1: make self checkout work, then there is a problem And 427 00:21:16,119 --> 00:21:20,000 Speaker 1: I can't so first of all, logistically, I cannot imagine 428 00:21:20,000 --> 00:21:23,600 Speaker 1: that the costs of investing in that kind of technology 429 00:21:23,600 --> 00:21:25,960 Speaker 1: apparatus is not being passed down to the consumer in 430 00:21:26,000 --> 00:21:28,040 Speaker 1: some way. I don't have any inside knowledge of that. 431 00:21:28,080 --> 00:21:29,879 Speaker 1: I just I have to assume that's the case. You know, 432 00:21:30,000 --> 00:21:35,000 Speaker 1: how it's now becoming clear how much retailers lied about 433 00:21:35,240 --> 00:21:38,000 Speaker 1: retail theft and how much it was hurting their stores, 434 00:21:38,280 --> 00:21:41,040 Speaker 1: and I think that they did that to justify really 435 00:21:41,040 --> 00:21:45,760 Speaker 1: cracking down on surveillance, really making the shopping experience worse 436 00:21:45,760 --> 00:21:47,640 Speaker 1: for consumers, and being like, well, it's not our fault, 437 00:21:47,680 --> 00:21:50,199 Speaker 1: it's crime. I wonder if there's some aspect of that 438 00:21:50,280 --> 00:21:53,239 Speaker 1: going on here, Like part of me wonders if, for 439 00:21:53,280 --> 00:21:57,040 Speaker 1: whatever reason, Walmart really wants to be investing in this 440 00:21:57,160 --> 00:22:02,600 Speaker 1: kind of surveillance technology and they're using self checkout as 441 00:22:02,640 --> 00:22:04,359 Speaker 1: a way to justify that. It's like, oh, well we 442 00:22:04,400 --> 00:22:08,080 Speaker 1: have self checkout now that increases theft, or go we 443 00:22:08,240 --> 00:22:12,120 Speaker 1: have to have this very involved surveillance technology in all 444 00:22:12,160 --> 00:22:16,639 Speaker 1: of our stores. I just wonder, because it's such a 445 00:22:16,760 --> 00:22:20,520 Speaker 1: huge investment in very serious surveillance technology that I don't 446 00:22:20,560 --> 00:22:22,240 Speaker 1: know how it makes sense to have it otherwise. 447 00:22:22,840 --> 00:22:26,960 Speaker 2: Yeah, that's a really interesting thought. We were doing some 448 00:22:27,160 --> 00:22:30,760 Speaker 2: research for this follow up episode here. One of the 449 00:22:30,800 --> 00:22:35,720 Speaker 2: things I came across was somebody who had worked in 450 00:22:36,720 --> 00:22:42,480 Speaker 2: software building a bunch of this type of surveillance stuff 451 00:22:43,200 --> 00:22:47,919 Speaker 2: that grocery stores big box retailers could use to have 452 00:22:48,080 --> 00:22:53,159 Speaker 2: like scanners and AI trackers following people around in the 453 00:22:53,200 --> 00:22:56,919 Speaker 2: store to try to reduce theft. And they made the 454 00:22:56,960 --> 00:22:58,560 Speaker 2: exact same point. This was a person who had built 455 00:22:58,600 --> 00:23:02,920 Speaker 2: those technologies who said that, like all of them didn't work. 456 00:23:03,000 --> 00:23:06,960 Speaker 2: We're janky, and we're extremely expensive and not justified by 457 00:23:07,600 --> 00:23:09,720 Speaker 2: the cost. Like not according to them, it was not 458 00:23:09,800 --> 00:23:14,399 Speaker 2: even close. So the idea that the reason retailers are 459 00:23:14,400 --> 00:23:18,000 Speaker 2: pushing for this stuff is to justify increase surveillance. We 460 00:23:18,119 --> 00:23:22,560 Speaker 2: see examples all the time of people in positions of 461 00:23:22,600 --> 00:23:27,000 Speaker 2: power making decisions that cost them money just so they 462 00:23:27,000 --> 00:23:29,919 Speaker 2: can like maintain control. Right, Like, just last week we 463 00:23:29,920 --> 00:23:34,800 Speaker 2: were talking about Annimintur shuddering Pitchfork, even though it was profitable, 464 00:23:35,200 --> 00:23:39,640 Speaker 2: because there was like rumblings of unionization, right like killing 465 00:23:39,760 --> 00:23:43,520 Speaker 2: a powerful, well liked brand just to like maintain that control. 466 00:23:43,600 --> 00:23:46,720 Speaker 2: And so spending a bunch of money on surveillance equipment 467 00:23:47,240 --> 00:23:50,720 Speaker 2: even though it doesn't pay back in money, the owner 468 00:23:50,800 --> 00:23:52,520 Speaker 2: gets to like feel that level of control. 469 00:23:55,520 --> 00:24:08,120 Speaker 4: Let's take a quick break at our back. 470 00:24:10,680 --> 00:24:14,520 Speaker 1: Something about self checkout automatically to me, feels like a 471 00:24:14,600 --> 00:24:20,440 Speaker 1: dystopian surveillance situation where we're getting away from what makes 472 00:24:20,520 --> 00:24:24,000 Speaker 1: us humans and relying more on technology. And like part 473 00:24:24,040 --> 00:24:27,840 Speaker 1: of that for me was the assumption that self checkouts 474 00:24:27,880 --> 00:24:30,480 Speaker 1: are making us lonelier or like has something to do 475 00:24:30,560 --> 00:24:33,200 Speaker 1: with the praying threads of. 476 00:24:33,560 --> 00:24:34,720 Speaker 3: Society and humanity. 477 00:24:34,720 --> 00:24:37,080 Speaker 1: That was an assumption that I made, not based on 478 00:24:37,080 --> 00:24:39,400 Speaker 1: any kind of facts or research or reading that I'd 479 00:24:39,440 --> 00:24:42,040 Speaker 1: done about it. It just to me stood to reason 480 00:24:42,080 --> 00:24:45,800 Speaker 1: that if we are in a loneliness epidemic, especially for 481 00:24:45,880 --> 00:24:48,320 Speaker 1: older folks, which the Search in General released a report 482 00:24:48,359 --> 00:24:50,960 Speaker 1: about this, the threat of social isolation recently, and it 483 00:24:51,000 --> 00:24:54,160 Speaker 1: is a damning report. If that is happening, then certainly 484 00:24:54,200 --> 00:24:57,040 Speaker 1: the rise of technology like self checkout is making it worse. 485 00:24:57,400 --> 00:24:59,960 Speaker 1: So is that actually the case, Well, you tell me. 486 00:25:00,720 --> 00:25:03,159 Speaker 1: I read this report in the Los Angeles Times that 487 00:25:03,240 --> 00:25:05,280 Speaker 1: suggests that the US is in the middle of this 488 00:25:05,400 --> 00:25:09,200 Speaker 1: loneliness and isolation epidemic and that self checkouts are actually. 489 00:25:08,840 --> 00:25:11,880 Speaker 3: Worse in the situation. The Times report talks about the. 490 00:25:11,880 --> 00:25:15,639 Speaker 1: Value of warm, low stakes relationships like that between a 491 00:25:15,680 --> 00:25:19,120 Speaker 1: shopper and a cashier, especially for older people. They spoke 492 00:25:19,160 --> 00:25:23,200 Speaker 1: to University of Michigan psychology professor Tony Antanushi, who said 493 00:25:23,200 --> 00:25:25,560 Speaker 1: that these kinds of connections are a critical tool for 494 00:25:25,640 --> 00:25:28,920 Speaker 1: maintaining emotional wellbeing later in life as social circles shrink, 495 00:25:29,320 --> 00:25:32,840 Speaker 1: so some supermarkets have actually taken intentional steps to use 496 00:25:32,880 --> 00:25:36,520 Speaker 1: the shopping experience at their store to combat loneliness through 497 00:25:36,760 --> 00:25:40,360 Speaker 1: chatty lines. Jumbo, a grocery store chain in the Netherlands, 498 00:25:40,400 --> 00:25:44,280 Speaker 1: has Klatskasa, or the chatty checkout line for shoppers who 499 00:25:44,320 --> 00:25:46,320 Speaker 1: are not in a hurry and actually want to have 500 00:25:46,359 --> 00:25:49,760 Speaker 1: a conversation with the clerk. Jumbo's chief commercial officer explained 501 00:25:49,760 --> 00:25:53,560 Speaker 1: to the Conversation saying, many people, especially the elderly, sometimes 502 00:25:53,600 --> 00:25:57,040 Speaker 1: feel lonely. As a family business and supermarket chain, we're 503 00:25:57,040 --> 00:26:00,000 Speaker 1: the heart of society. Our shops are an important meeting 504 00:26:00,040 --> 00:26:01,480 Speaker 1: place for many people. I mean we want to play 505 00:26:01,480 --> 00:26:04,359 Speaker 1: a role in identifying and reducing loneliness. So the first 506 00:26:04,359 --> 00:26:06,800 Speaker 1: of one of these lanes was so successful that the 507 00:26:06,800 --> 00:26:10,159 Speaker 1: family owned company started rolling out these chatty slow checkout 508 00:26:10,200 --> 00:26:11,840 Speaker 1: lanes in two hundred of its stores. 509 00:26:12,280 --> 00:26:13,920 Speaker 3: Not only were customers really. 510 00:26:13,760 --> 00:26:18,119 Speaker 1: Responding positively to it, but this this situation also apparently 511 00:26:18,119 --> 00:26:21,560 Speaker 1: appealed to the employees. They are trained to recognize signs 512 00:26:21,600 --> 00:26:24,159 Speaker 1: of loneliness and come up with local initiatives to combat 513 00:26:24,200 --> 00:26:27,399 Speaker 1: social isolation. The lanes weren't just big with older folks, 514 00:26:27,400 --> 00:26:29,679 Speaker 1: but all shoppers of all ages seem to really get 515 00:26:29,720 --> 00:26:32,080 Speaker 1: a kick out of them. So this is nice, and 516 00:26:32,119 --> 00:26:33,800 Speaker 1: it sounds like it's working, and it sounds like it's 517 00:26:33,800 --> 00:26:36,320 Speaker 1: a needed thing, and I really like hats off to 518 00:26:36,440 --> 00:26:38,679 Speaker 1: Jumbo for starting with initiatives. 519 00:26:38,960 --> 00:26:41,440 Speaker 3: But I just don't know if a. 520 00:26:41,560 --> 00:26:45,840 Speaker 1: Retail cashier should be shouldering the burden of staving off 521 00:26:46,200 --> 00:26:50,280 Speaker 1: what sounds like a real crisis of loneliness for people. 522 00:26:50,960 --> 00:26:54,000 Speaker 1: In this Surgeon General's report on loneliness that I mentioned, 523 00:26:54,200 --> 00:26:56,800 Speaker 1: the search in General lays out this like six point 524 00:26:56,840 --> 00:26:59,880 Speaker 1: plan for combating loneliness, and it's things like investing more 525 00:27:00,119 --> 00:27:04,480 Speaker 1: volunteer organizations or religious groups, or policies around public trains 526 00:27:04,480 --> 00:27:07,760 Speaker 1: and or education, or physical spaces like parks and green 527 00:27:07,800 --> 00:27:12,159 Speaker 1: spaces and library so like more robust public infrastructure. Yes, 528 00:27:12,280 --> 00:27:16,399 Speaker 1: I love public infrastructure. However, here in the US, I 529 00:27:16,440 --> 00:27:19,560 Speaker 1: don't think that like a polite chatty clerk can really 530 00:27:19,640 --> 00:27:22,639 Speaker 1: take the place of meaningful investment in these kinds of 531 00:27:22,640 --> 00:27:24,879 Speaker 1: social goods. Like I almost be like, I like what 532 00:27:24,960 --> 00:27:28,040 Speaker 1: they're doing with these chatty lanes, and it does seem 533 00:27:28,119 --> 00:27:28,680 Speaker 1: like it's helping. 534 00:27:28,720 --> 00:27:30,040 Speaker 3: So I don't want to make it seem like I'm 535 00:27:30,240 --> 00:27:31,080 Speaker 3: pooh poohing that. 536 00:27:31,160 --> 00:27:34,359 Speaker 1: But I think that it's a lot to ask of 537 00:27:34,400 --> 00:27:37,199 Speaker 1: a retail cashier who is like their job is to 538 00:27:37,880 --> 00:27:39,080 Speaker 1: ring you up and be polite. 539 00:27:39,160 --> 00:27:40,160 Speaker 3: I don't know that we should. 540 00:27:39,960 --> 00:27:43,679 Speaker 1: Be shouldering those folks with this burden of easing something 541 00:27:43,760 --> 00:27:48,640 Speaker 1: that clearly is related to a fraying social goods infrastructure. 542 00:27:48,960 --> 00:27:50,640 Speaker 2: Yeah. I have a lot of thoughts about this. One 543 00:27:50,640 --> 00:27:53,639 Speaker 2: of them is that that Jumbo chain sounds really cool. 544 00:27:54,119 --> 00:27:55,560 Speaker 2: I would love to go check out one of their 545 00:27:55,680 --> 00:27:57,879 Speaker 2: chatty lines next time I'm in the Netherlands. Whenever that 546 00:27:57,960 --> 00:27:59,840 Speaker 2: might happen, I'm definitely gonna do it. It sounds like 547 00:27:59,880 --> 00:28:02,760 Speaker 2: a really nice thing that that grocery store chain has 548 00:28:02,880 --> 00:28:07,159 Speaker 2: chosen to do for its community. That feels like the 549 00:28:07,240 --> 00:28:10,679 Speaker 2: sort of I don't know, Jimmy Dean movie feel good 550 00:28:11,359 --> 00:28:14,439 Speaker 2: capitalism story that if only the world were more like that, 551 00:28:14,640 --> 00:28:16,200 Speaker 2: things would be a lot better. Maybe it is like 552 00:28:16,280 --> 00:28:18,280 Speaker 2: that in the Netherlands, I don't know, But it's not 553 00:28:18,359 --> 00:28:20,639 Speaker 2: like that here in the US, right, Like, I think 554 00:28:21,160 --> 00:28:24,600 Speaker 2: there are a lot of differences. For one thing, those 555 00:28:24,600 --> 00:28:28,600 Speaker 2: cashiers in the Netherlands, they have subsidized healthcare, they have 556 00:28:28,760 --> 00:28:32,360 Speaker 2: just a bunch of other social safety net things. They 557 00:28:32,359 --> 00:28:35,400 Speaker 2: probably have a much higher salary I have to assume 558 00:28:35,920 --> 00:28:40,040 Speaker 2: than their counterparts here in the US. I was looking 559 00:28:40,080 --> 00:28:44,000 Speaker 2: into what cashiers make in the US, and like, you know, 560 00:28:44,120 --> 00:28:49,960 Speaker 2: I used to work hourly wage jobs, but it's been 561 00:28:50,360 --> 00:28:53,800 Speaker 2: a while and people are making ten dollars an hour, 562 00:28:54,280 --> 00:28:57,440 Speaker 2: right like that, that's just like not a lot of money. 563 00:28:57,440 --> 00:29:01,520 Speaker 2: And then to expect those people to shoulder this burden 564 00:29:01,600 --> 00:29:04,920 Speaker 2: like you were talking about of chatting with strangers in 565 00:29:05,320 --> 00:29:09,640 Speaker 2: making elderly folks feel connected, like, those are really virtuous 566 00:29:09,680 --> 00:29:13,440 Speaker 2: things to do. But for somebody who's working like three 567 00:29:13,560 --> 00:29:16,840 Speaker 2: jobs sixty hours a week to like scrape by, that 568 00:29:16,920 --> 00:29:22,120 Speaker 2: feels like it's really asking a lot. And that context 569 00:29:22,200 --> 00:29:25,400 Speaker 2: of what is the experience like for that employee that cashier, 570 00:29:26,200 --> 00:29:29,800 Speaker 2: I feel gets left out of a lot of these 571 00:29:30,520 --> 00:29:33,040 Speaker 2: arguments that we saw about like oh, a self checkouts 572 00:29:33,080 --> 00:29:36,560 Speaker 2: are making us all isolated. We should have more like 573 00:29:37,120 --> 00:29:39,680 Speaker 2: friendly chit chats with the cashier who's checking us out. 574 00:29:39,800 --> 00:29:41,960 Speaker 2: You know, I've definitely had experiences in my life where 575 00:29:41,960 --> 00:29:45,720 Speaker 2: I had like a nice, warm connection with a cashier 576 00:29:45,720 --> 00:29:49,520 Speaker 2: who is checking me out, But just as often I've 577 00:29:49,800 --> 00:29:51,880 Speaker 2: had the experience of, like, Wow, this person is really 578 00:29:52,520 --> 00:29:56,000 Speaker 2: tired and they're not giving me the time of day, 579 00:29:56,360 --> 00:29:59,080 Speaker 2: and I'm not gonna take it personally, but I'm also 580 00:29:59,160 --> 00:30:01,640 Speaker 2: like not getting a lot of fuzzies out of this interaction. 581 00:30:01,680 --> 00:30:03,400 Speaker 2: I'm just gonna get my things and get out of here. 582 00:30:03,480 --> 00:30:06,600 Speaker 1: Well, that's another thing is that I have definitely with 583 00:30:06,640 --> 00:30:11,920 Speaker 1: my own eyes witnessed retail clerks take the time to 584 00:30:12,040 --> 00:30:15,600 Speaker 1: really connect with people who are shopping in a way 585 00:30:15,640 --> 00:30:19,320 Speaker 1: that I'm like amazed by. And so I don't want 586 00:30:19,320 --> 00:30:21,840 Speaker 1: to make it seem like there are no retail cashiers 587 00:30:21,840 --> 00:30:24,040 Speaker 1: who are doing that, because I know that there are. 588 00:30:25,000 --> 00:30:27,440 Speaker 1: My mom is a big shopper, and I know that 589 00:30:27,640 --> 00:30:31,600 Speaker 1: a lot of times that shopping is being done out 590 00:30:31,600 --> 00:30:34,080 Speaker 1: of a place of wanting a warm connection. And so 591 00:30:34,160 --> 00:30:36,680 Speaker 1: she's clearly getting a warm connection, and that's what she's 592 00:30:36,680 --> 00:30:38,600 Speaker 1: going in force. It's really not about the item that 593 00:30:38,600 --> 00:30:41,720 Speaker 1: she's buying. But like you said, if you're a retail casher, 594 00:30:41,720 --> 00:30:44,640 Speaker 1: you probably have your own struggles with loneliness, and so like, 595 00:30:44,360 --> 00:30:47,000 Speaker 1: are we just like passing down this burden from cashier 596 00:30:47,000 --> 00:30:49,400 Speaker 1: to cash here, to cash here to cashier. And you know, 597 00:30:49,520 --> 00:30:53,160 Speaker 1: if we really as a country cared about this loneliness epidemic, 598 00:30:53,160 --> 00:30:54,880 Speaker 1: which it seems like we're saying that we do because 599 00:30:54,920 --> 00:30:56,040 Speaker 1: a search in general put out a. 600 00:30:56,040 --> 00:30:56,880 Speaker 3: Report on it. 601 00:30:56,480 --> 00:31:00,560 Speaker 1: It's clear what we should be putting our investment in energy, right, 602 00:31:01,120 --> 00:31:04,200 Speaker 1: public good and social good stuff like parks and libraries 603 00:31:04,280 --> 00:31:06,840 Speaker 1: and community centers and all of that. Like it just 604 00:31:06,840 --> 00:31:11,440 Speaker 1: feels like under capitalism, it is like, well, we should 605 00:31:11,440 --> 00:31:14,200 Speaker 1: have parks and libraries for older folks. Best we can 606 00:31:14,240 --> 00:31:16,400 Speaker 1: do is an underpaid barista who is nice to them, 607 00:31:16,520 --> 00:31:18,280 Speaker 1: Like that's that's all we got to offer, And it's 608 00:31:18,320 --> 00:31:20,920 Speaker 1: just so sad, like we like, it doesn't have to 609 00:31:20,960 --> 00:31:22,000 Speaker 1: be that way, but that's. 610 00:31:21,880 --> 00:31:23,200 Speaker 3: How it is. That's how it feels to me. 611 00:31:23,720 --> 00:31:26,800 Speaker 2: Yeah, an underpaid barista and half a million dollars in 612 00:31:26,880 --> 00:31:28,080 Speaker 2: surveillance technology. 613 00:31:28,240 --> 00:31:30,280 Speaker 3: Yeah, will that helped? 614 00:31:30,840 --> 00:31:31,120 Speaker 1: Yeah? 615 00:31:31,160 --> 00:31:33,440 Speaker 2: Like what if we invested in the barista? 616 00:31:33,520 --> 00:31:37,920 Speaker 1: And this also bumps up around this, like popping online 617 00:31:37,960 --> 00:31:42,880 Speaker 1: discourse around chatting and retail employees. I'm chatty by nature. 618 00:31:42,880 --> 00:31:44,600 Speaker 1: I have a podcast, so like I love to chat 619 00:31:44,640 --> 00:31:46,080 Speaker 1: somebody up and you could give you if you were 620 00:31:46,120 --> 00:31:48,959 Speaker 1: if we're having a face to face, I'm asking how 621 00:31:49,000 --> 00:31:49,640 Speaker 1: your day was. 622 00:31:50,120 --> 00:31:53,600 Speaker 3: I want some details when we were in Berlin that time. 623 00:31:54,080 --> 00:31:57,560 Speaker 1: They are a less chatty people, and I asked that 624 00:31:57,680 --> 00:31:59,320 Speaker 1: barista how his day was going. 625 00:32:00,600 --> 00:32:03,760 Speaker 3: What I'm a fake? He looked at me like I 626 00:32:03,840 --> 00:32:05,080 Speaker 3: had just insulted his mom. 627 00:32:05,760 --> 00:32:10,440 Speaker 2: God, yeah, they really value efficiency over there, and I 628 00:32:10,480 --> 00:32:13,240 Speaker 2: loved it. I felt like by the end of the trip, 629 00:32:13,320 --> 00:32:16,640 Speaker 2: I finally had it down where I could like perfectly 630 00:32:16,720 --> 00:32:20,520 Speaker 2: execute telling the barista my order, receiving it, paying and 631 00:32:20,640 --> 00:32:24,600 Speaker 2: leaving in the most efficient way possible. And in that moment, 632 00:32:24,640 --> 00:32:28,440 Speaker 2: I felt like a small piece of pride, I guess 633 00:32:28,480 --> 00:32:33,480 Speaker 2: for like making it work in the German retail context. 634 00:32:34,280 --> 00:32:36,800 Speaker 1: So it does sound like, you know, we're talking about 635 00:32:36,840 --> 00:32:40,600 Speaker 1: how chatting with the retail clerk it's good for folks 636 00:32:40,640 --> 00:32:43,080 Speaker 1: who are experiencing social isolation, but it does sound like 637 00:32:43,120 --> 00:32:46,200 Speaker 1: not everybody wants to have a chat with retail clerks. Recently, 638 00:32:46,600 --> 00:32:49,520 Speaker 1: writer Bailey Hird, who also worked as a server, tweeted, 639 00:32:50,000 --> 00:32:52,000 Speaker 1: sorry if this is rude or whatever, but I really 640 00:32:52,000 --> 00:32:54,640 Speaker 1: hate people who refuse to endure even the tiniest bits 641 00:32:54,640 --> 00:32:56,800 Speaker 1: of small talk. Can't tell you how many times I've 642 00:32:56,800 --> 00:32:58,480 Speaker 1: walked up to a table and said, how are you 643 00:32:58,520 --> 00:33:01,400 Speaker 1: doing today, only to be met with complete silence and 644 00:33:01,440 --> 00:33:04,080 Speaker 1: a blank stare. And that's I mean like it kind 645 00:33:04,120 --> 00:33:06,240 Speaker 1: of gets into a thing of like people are just 646 00:33:06,280 --> 00:33:09,080 Speaker 1: trying to do their job and certainly, you know, you 647 00:33:09,160 --> 00:33:11,320 Speaker 1: get from corporate or whatever like oh you're you're meant 648 00:33:11,320 --> 00:33:13,240 Speaker 1: to be chatty in this way or chatty in that way. 649 00:33:13,280 --> 00:33:15,240 Speaker 1: I used to work for a when I was in college, 650 00:33:15,280 --> 00:33:17,120 Speaker 1: I worked for a clothing retailer. I don't want to 651 00:33:17,120 --> 00:33:19,600 Speaker 1: say which one because I I mean, I was very young, 652 00:33:19,640 --> 00:33:23,840 Speaker 1: but I quit in a very unprofessional way. But when 653 00:33:24,040 --> 00:33:26,640 Speaker 1: they they for whatever reason, they gave us this guidance 654 00:33:26,640 --> 00:33:29,160 Speaker 1: that when you were letting somebody into a dressing room 655 00:33:29,200 --> 00:33:32,520 Speaker 1: to try on a bra or underwear or a cameousol 656 00:33:32,560 --> 00:33:34,920 Speaker 1: like some sort of intimate item, they wanted you to 657 00:33:35,440 --> 00:33:38,480 Speaker 1: share a secret with them. And so that was like 658 00:33:38,520 --> 00:33:40,560 Speaker 1: the guidance that we got. And so you you were 659 00:33:40,880 --> 00:33:43,240 Speaker 1: you were meant to be like oh, like an example 660 00:33:43,280 --> 00:33:46,560 Speaker 1: they gave was, oh, you're you're trying on this bra. 661 00:33:46,920 --> 00:33:47,560 Speaker 3: I love that bra. 662 00:33:47,600 --> 00:33:49,440 Speaker 1: I'm wearing it right now, Like that would be the 663 00:33:49,520 --> 00:33:51,240 Speaker 1: kind of like secret they wanted you to share. 664 00:33:51,880 --> 00:33:56,480 Speaker 2: What this is wild share a secret? 665 00:33:56,680 --> 00:33:59,000 Speaker 1: I always wondered if somebody was like, oh let me 666 00:33:59,040 --> 00:34:00,440 Speaker 1: you want to need a fitting room? 667 00:34:00,760 --> 00:34:01,480 Speaker 3: Yeah, here you go. 668 00:34:01,880 --> 00:34:04,040 Speaker 1: You know, I once hit a guy while I was 669 00:34:04,120 --> 00:34:05,560 Speaker 1: driving and I just kept going. 670 00:34:05,720 --> 00:34:08,560 Speaker 3: I didn't even stop. We enjoy your items. 671 00:34:10,040 --> 00:34:13,319 Speaker 1: So what I'm saying is like retail clerks and people 672 00:34:13,320 --> 00:34:15,760 Speaker 1: who are working in the service industry, they're like often 673 00:34:15,840 --> 00:34:18,920 Speaker 1: given guidance from corporate to like be chatting in a 674 00:34:18,920 --> 00:34:19,680 Speaker 1: specific way. 675 00:34:19,880 --> 00:34:20,239 Speaker 3: I don't know. 676 00:34:20,280 --> 00:34:22,400 Speaker 1: I do feel like we have this situation where people 677 00:34:22,680 --> 00:34:25,480 Speaker 1: are complaining about this and these people are just trying 678 00:34:25,520 --> 00:34:27,040 Speaker 1: to do their jobs, I guess is what I'm saying. 679 00:34:27,080 --> 00:34:29,360 Speaker 1: Like at Trader Joe's, which as far as I know, 680 00:34:29,600 --> 00:34:32,040 Speaker 1: Trader Joe's does not do self checkout, Like none of 681 00:34:32,040 --> 00:34:32,879 Speaker 1: the Trader Jows have ever. 682 00:34:32,840 --> 00:34:36,279 Speaker 2: Been has had self checkout, and I was thinking about them. 683 00:34:36,480 --> 00:34:39,040 Speaker 2: I think Trader Joe's is like the anti self checkout. 684 00:34:39,360 --> 00:34:42,680 Speaker 1: Yes, and they actually it sounds like maybe they want 685 00:34:42,719 --> 00:34:44,719 Speaker 1: their cashiers to be like a little more chatty with 686 00:34:44,760 --> 00:34:47,080 Speaker 1: you than other places. I saw this TikTok that I 687 00:34:47,200 --> 00:34:50,759 Speaker 1: hated where somebody was bemoaning the fact that to shop 688 00:34:50,800 --> 00:34:53,040 Speaker 1: at Trader Joe's they feel like they have to do 689 00:34:53,200 --> 00:34:56,560 Speaker 1: emotional labor of chatting with the cashier to buy their groceries. 690 00:34:56,600 --> 00:34:57,279 Speaker 3: But here's the. 691 00:34:57,239 --> 00:35:00,279 Speaker 1: Thing, if you are someone who is shopping, they're not 692 00:35:00,320 --> 00:35:03,279 Speaker 1: the one doing emotional labor in that situation. The person 693 00:35:03,280 --> 00:35:06,359 Speaker 1: who is required by corporate or their boss to like 694 00:35:06,400 --> 00:35:08,239 Speaker 1: be polite and chatty with you, even if they don't 695 00:35:08,239 --> 00:35:10,480 Speaker 1: feel like it to ring you up, that is the 696 00:35:10,480 --> 00:35:13,319 Speaker 1: person doing emotional labor, not you. You're not doing that 697 00:35:13,920 --> 00:35:16,600 Speaker 1: all of us to say, I think that the question 698 00:35:16,640 --> 00:35:19,680 Speaker 1: of what we get and what we lose through the 699 00:35:19,800 --> 00:35:23,399 Speaker 1: chattiness and politeness of a retail person is a whole 700 00:35:23,440 --> 00:35:24,080 Speaker 1: separate thing. 701 00:35:24,560 --> 00:35:27,719 Speaker 3: When technology comes into the conversation. It was easy for 702 00:35:27,760 --> 00:35:28,120 Speaker 3: me to. 703 00:35:28,120 --> 00:35:31,600 Speaker 1: Assume, like automatically, when you're doing self checkout, you're losing 704 00:35:31,600 --> 00:35:35,120 Speaker 1: this human connection and that's bad. But from doing this research, 705 00:35:35,200 --> 00:35:37,120 Speaker 1: I do think that is a little more complex than that. 706 00:35:37,640 --> 00:35:42,200 Speaker 2: Yeah, it is. Should we get into the listener feedback? 707 00:35:42,560 --> 00:35:45,239 Speaker 2: Let's do it all right? Well, I'll just start reading then. 708 00:35:45,600 --> 00:35:47,200 Speaker 2: So this one came. 709 00:35:47,080 --> 00:35:52,800 Speaker 1: From Hey, bridget here, just an fyi that this listener 710 00:35:52,840 --> 00:35:55,719 Speaker 1: wanted to be anonymous, so we are bleeping that listener's name. 711 00:35:56,400 --> 00:35:58,600 Speaker 1: In case you're wondering why there are bleeps, that's. 712 00:35:58,400 --> 00:36:01,880 Speaker 2: Why, Hi, Mike and Bridge. Wow, this issue just evokes 713 00:36:01,880 --> 00:36:04,680 Speaker 2: strong feelings. I've never felt the desire to comment on 714 00:36:04,760 --> 00:36:07,400 Speaker 2: something before that. Self checkouts is what brings me to comment. 715 00:36:07,760 --> 00:36:09,840 Speaker 2: I'd be curious to see if other small things like 716 00:36:09,880 --> 00:36:13,160 Speaker 2: this get more comments. I like self checkouts mostly because 717 00:36:13,160 --> 00:36:15,760 Speaker 2: I get to do my own bagging. Cashiers and baggers 718 00:36:15,800 --> 00:36:18,240 Speaker 2: aren't paid enough to make sure my bread doesn't get squished. 719 00:36:18,640 --> 00:36:22,959 Speaker 2: My favorite method is what Meyjure does. That's a brand 720 00:36:23,000 --> 00:36:25,680 Speaker 2: in the Midwest. The store. They have a phone app 721 00:36:25,680 --> 00:36:27,680 Speaker 2: where I can scan and bag as I grab things. 722 00:36:28,080 --> 00:36:30,000 Speaker 2: Then I just zip through the payment. It would be 723 00:36:30,040 --> 00:36:31,600 Speaker 2: even better if I could pay through the app, but 724 00:36:31,680 --> 00:36:35,239 Speaker 2: the last they probably won't do that because of shoplifting. Disclaimer, 725 00:36:35,480 --> 00:36:37,839 Speaker 2: I think shoplifting is a consequence of poverty, and don't 726 00:36:37,840 --> 00:36:40,600 Speaker 2: blame shoplifters. Do what you gotta do. I'm a stickler 727 00:36:40,600 --> 00:36:42,799 Speaker 2: for data interpretation, so I have some thoughts about the 728 00:36:42,840 --> 00:36:46,000 Speaker 2: stats from the last episode. Sixty seven percent of people 729 00:36:46,000 --> 00:36:48,480 Speaker 2: have experienced the failure at self checkouts. What is the 730 00:36:48,480 --> 00:36:52,400 Speaker 2: percentage failure for human checkouts? Also, sixty seven percent represents 731 00:36:52,400 --> 00:36:55,040 Speaker 2: the percentage of people who have experienced an event. What's 732 00:36:55,080 --> 00:36:57,960 Speaker 2: the failure rate per transaction? Given then, a majority of 733 00:36:58,000 --> 00:37:00,239 Speaker 2: people like self checkouts I would posit that fit your 734 00:37:00,320 --> 00:37:04,399 Speaker 2: rate per transaction is low speculation. I think the part 735 00:37:04,440 --> 00:37:06,319 Speaker 2: that fails the most is the weight sensor that is 736 00:37:06,320 --> 00:37:09,359 Speaker 2: making sure you bag items. The stores that I shot 737 00:37:09,440 --> 00:37:11,960 Speaker 2: at don't use this sensor, and it's much more smoothe 738 00:37:12,040 --> 00:37:14,520 Speaker 2: I don't know why they care. You've already scanned the item, 739 00:37:14,640 --> 00:37:15,759 Speaker 2: so you can't steal it. 740 00:37:15,880 --> 00:37:17,040 Speaker 3: That's such a good point. 741 00:37:17,320 --> 00:37:19,319 Speaker 2: It is a good point. Yeah, right, you've already scanned it, 742 00:37:19,320 --> 00:37:20,120 Speaker 2: you can't steal it. 743 00:37:20,680 --> 00:37:24,080 Speaker 1: So as a data practitioner, are you a data scientist 744 00:37:24,160 --> 00:37:26,440 Speaker 1: or a data practitioner? Because this is like I know, 745 00:37:26,920 --> 00:37:29,239 Speaker 1: Mike asked somebody who works at data. You probably were like, 746 00:37:29,360 --> 00:37:32,080 Speaker 1: great questions, thank you for seeing the data like I do, 747 00:37:32,239 --> 00:37:33,719 Speaker 1: which is precisely. 748 00:37:33,640 --> 00:37:36,920 Speaker 2: Yeah, that's right. I mean, is you know, quite reasonably 749 00:37:36,960 --> 00:37:39,200 Speaker 2: focused on like what is the denominator here? What's the 750 00:37:39,200 --> 00:37:42,360 Speaker 2: failure rate per transaction? I think I made you know 751 00:37:42,360 --> 00:37:45,319 Speaker 2: a similar point last time that sixty seven percent of 752 00:37:45,320 --> 00:37:48,239 Speaker 2: people said they've experienced a failure with self checkout. I've 753 00:37:48,280 --> 00:37:51,480 Speaker 2: experienced a failure with like everything, my computer, my phone, 754 00:37:51,520 --> 00:37:55,560 Speaker 2: my car, my relationship, my cat, Like everything fails at 755 00:37:55,560 --> 00:37:57,479 Speaker 2: subpoint or an other, Right, But I'm not gonna throw 756 00:37:57,480 --> 00:37:57,839 Speaker 2: it out. 757 00:37:58,640 --> 00:38:00,000 Speaker 3: You are absolutely correct. 758 00:38:00,320 --> 00:38:02,720 Speaker 1: It is the little things that I think people feel 759 00:38:02,760 --> 00:38:06,880 Speaker 1: the most strongly and passionately about. So if folks are listening, 760 00:38:07,000 --> 00:38:09,719 Speaker 1: if you're like, oh, here's another little tech thing that 761 00:38:09,760 --> 00:38:12,000 Speaker 1: we should talk about in society that we all deal with, 762 00:38:12,080 --> 00:38:14,120 Speaker 1: and what are your thoughts on it? That would be 763 00:38:14,160 --> 00:38:16,359 Speaker 1: a great segment. So if folks have those, please write, 764 00:38:16,400 --> 00:38:18,879 Speaker 1: and I want to hear them. Who knew that these 765 00:38:18,920 --> 00:38:21,760 Speaker 1: little things would be such a sticking point for folks. 766 00:38:22,239 --> 00:38:25,239 Speaker 2: Yeah, it's also satisfying to talk about because I do 767 00:38:25,280 --> 00:38:29,200 Speaker 2: have strong feelings, but I don't have like identity connected 768 00:38:29,200 --> 00:38:32,000 Speaker 2: to it. So it feels possible to talk about them 769 00:38:32,080 --> 00:38:35,840 Speaker 2: and like hear new perspectives and change my mind in 770 00:38:35,880 --> 00:38:38,400 Speaker 2: a way that doesn't it doesn't always feel that way 771 00:38:38,440 --> 00:38:42,520 Speaker 2: about some other issues where there's disagreement. So it concludes 772 00:38:42,920 --> 00:38:44,880 Speaker 2: it's the small things, isn't it? 773 00:38:44,880 --> 00:38:45,480 Speaker 3: It sure is? 774 00:38:47,040 --> 00:38:50,839 Speaker 2: Okay. So the next email is from Phil Jones high 775 00:38:50,840 --> 00:38:52,640 Speaker 2: Bridget I've got a lot to say on this subject. 776 00:38:52,719 --> 00:38:55,880 Speaker 2: The first and foremost, You're right, fuck those machines. For 777 00:38:55,960 --> 00:38:59,120 Speaker 2: whatever added context this might provide. I live in gotteno 778 00:38:59,320 --> 00:39:02,280 Speaker 2: Quebec on the border with Ottawa, Ontario, the nation's capital. 779 00:39:02,719 --> 00:39:05,400 Speaker 2: My general stance is that those machines are worse for everyone. 780 00:39:05,480 --> 00:39:09,080 Speaker 2: As you stated, then we've got four bulleted items here. 781 00:39:09,480 --> 00:39:12,480 Speaker 2: Number one slows the customer down is they now have 782 00:39:12,520 --> 00:39:15,160 Speaker 2: to operate the checkout, a specialized job people have long 783 00:39:15,160 --> 00:39:17,719 Speaker 2: been hired and trained for. There are quirks to the 784 00:39:17,719 --> 00:39:20,640 Speaker 2: machine that only a seasoned operator knows how to maneuver around. 785 00:39:20,800 --> 00:39:22,600 Speaker 2: There are special items that need to be dealt with 786 00:39:22,680 --> 00:39:26,319 Speaker 2: differently than standard barcode items. It's a mess. Number two 787 00:39:26,960 --> 00:39:29,640 Speaker 2: takes away a job from cashiers who now stand around 788 00:39:29,640 --> 00:39:31,839 Speaker 2: and monitor a bank of machines that took their job. 789 00:39:32,239 --> 00:39:34,800 Speaker 2: The cashier was promoted to managing a row of insulting 790 00:39:34,840 --> 00:39:39,279 Speaker 2: facsimiles of their former role. Number three it removes a 791 00:39:39,280 --> 00:39:42,560 Speaker 2: bagger job entirely, as that's now on the customer. Number 792 00:39:42,560 --> 00:39:45,359 Speaker 2: four it makes scamming the store that much easier, So 793 00:39:45,400 --> 00:39:48,239 Speaker 2: it's worse for loss prevention. The classics stake for the 794 00:39:48,239 --> 00:39:52,200 Speaker 2: price of bananas scam. Ultimately, the machines continue to degrade 795 00:39:52,239 --> 00:39:56,239 Speaker 2: interpersonal connections and community. We might see the same cashiers 796 00:39:56,280 --> 00:39:59,000 Speaker 2: every week at our local grocery store or pharmacy, and 797 00:39:59,160 --> 00:40:01,239 Speaker 2: whether we like them or not not recognize that we're 798 00:40:01,239 --> 00:40:03,440 Speaker 2: part of the same world and need to get along 799 00:40:03,440 --> 00:40:06,120 Speaker 2: to meet her own needs. These machines put yet another 800 00:40:06,160 --> 00:40:08,920 Speaker 2: barrier between us and our fellow humans. So let's take 801 00:40:08,960 --> 00:40:10,920 Speaker 2: a break there, because Phil has laid out a lot 802 00:40:10,960 --> 00:40:11,279 Speaker 2: for us. 803 00:40:14,440 --> 00:40:14,600 Speaker 3: More. 804 00:40:14,640 --> 00:40:27,480 Speaker 4: After a quick break, let's get right back into it. 805 00:40:29,320 --> 00:40:32,560 Speaker 1: First of all, Phil, keep emailing me, because you can 806 00:40:32,640 --> 00:40:36,319 Speaker 1: write an email the way that this was so eloquently 807 00:40:36,400 --> 00:40:38,400 Speaker 1: laid out. I'm like, bulleted, this is the kind of 808 00:40:38,440 --> 00:40:41,160 Speaker 1: email that I really appreciate. Please keep emailing me. Phil's 809 00:40:41,200 --> 00:40:43,640 Speaker 1: email kind of gets at that tension that I feel 810 00:40:43,719 --> 00:40:48,120 Speaker 1: right that it does feel like for whatever reason, self 811 00:40:48,200 --> 00:40:51,160 Speaker 1: checkout is indicative of some kind of a fraying of 812 00:40:51,200 --> 00:40:54,560 Speaker 1: a social fabric that you know, like, like one of 813 00:40:54,560 --> 00:40:56,440 Speaker 1: the concepts I was reading about when I was preparing 814 00:40:56,480 --> 00:40:59,239 Speaker 1: for this episode is this concept of a frictionless society 815 00:40:59,320 --> 00:41:04,120 Speaker 1: that it's automatically better if you're not having to deal 816 00:41:04,200 --> 00:41:07,520 Speaker 1: with the friction that sometimes comes with navigating another human. 817 00:41:07,600 --> 00:41:10,480 Speaker 1: That you order your groceries online and do curbside pickup. 818 00:41:10,520 --> 00:41:12,879 Speaker 1: You order Uber Eat and they leave it at your door. 819 00:41:12,920 --> 00:41:14,759 Speaker 1: You don't even have to like talk to them. And 820 00:41:15,280 --> 00:41:18,319 Speaker 1: questioning the assumption that this is actually a better, more 821 00:41:18,320 --> 00:41:21,120 Speaker 1: cohesive society, because the point of being in a society 822 00:41:21,239 --> 00:41:23,319 Speaker 1: is navigating other humans and sometimes we don't like it, 823 00:41:23,360 --> 00:41:27,040 Speaker 1: but like that society. I think that Phill's email really 824 00:41:27,120 --> 00:41:29,560 Speaker 1: really gets at the tension that I feel around that 825 00:41:29,640 --> 00:41:32,520 Speaker 1: of like, well, is this better? Is a society where 826 00:41:32,960 --> 00:41:37,360 Speaker 1: I'm dealing with humans and navigating the intricacies of that daily, 827 00:41:37,960 --> 00:41:41,040 Speaker 1: Is that automatically a better society or a more efficient society? 828 00:41:41,640 --> 00:41:45,279 Speaker 2: Yeah? I think Phil definitely has a very dystopian view 829 00:41:45,440 --> 00:41:48,440 Speaker 2: of the impact of these machines, Like we're all deep 830 00:41:48,480 --> 00:41:52,239 Speaker 2: in the sub basement of Metropolis, gloomily scanning our items. 831 00:41:52,560 --> 00:41:55,799 Speaker 2: They are good questions and it's if nothing else, this 832 00:41:55,880 --> 00:41:57,839 Speaker 2: is useful for us to like step back and think about, 833 00:41:57,920 --> 00:42:02,000 Speaker 2: like what does it mean to be connected to familiar 834 00:42:02,040 --> 00:42:08,040 Speaker 2: strangers in our community and forced transactions in the checkout 835 00:42:08,120 --> 00:42:11,480 Speaker 2: lane with the cashier. What is the value of those 836 00:42:11,560 --> 00:42:14,880 Speaker 2: Like maybe they're both good and bad. So that was 837 00:42:15,239 --> 00:42:21,480 Speaker 2: Phil's dystopian take on why those machines should be fucked. However, 838 00:42:21,640 --> 00:42:25,840 Speaker 2: Phil goes on to list a few scenarios where he 839 00:42:25,920 --> 00:42:30,680 Speaker 2: does use the machines. Another three points number one at 840 00:42:30,760 --> 00:42:35,880 Speaker 2: Shopper's drug Mark slash Pharma Pricks, I think CBS. Depending 841 00:42:35,920 --> 00:42:39,600 Speaker 2: on the location, there's usually one actual cashier in a 842 00:42:39,680 --> 00:42:42,680 Speaker 2: bank of machines. If I'm only ever buying a couple 843 00:42:42,680 --> 00:42:46,080 Speaker 2: of things, it is more discreet. For the more personal purchases, 844 00:42:46,480 --> 00:42:49,560 Speaker 2: and the one I frequent the most, there is usually, 845 00:42:49,920 --> 00:42:53,800 Speaker 2: like uncannily often an elderly person buying multiple six packs 846 00:42:53,800 --> 00:42:56,840 Speaker 2: of Pepsi bottles. There's the Quebec context for you. I 847 00:42:56,880 --> 00:42:58,920 Speaker 2: didn't know they drank a lot of Pepsi and Quebec. 848 00:43:00,080 --> 00:43:03,640 Speaker 2: It's just faster to use the machines. Second bulleted item 849 00:43:04,080 --> 00:43:07,360 Speaker 2: from Phil. At Costco, I'm basically only ever buying a 850 00:43:07,360 --> 00:43:09,640 Speaker 2: handful of things that are cheaper and used at Scale. 851 00:43:09,719 --> 00:43:11,799 Speaker 2: I live with my partner, no kids. We don't need 852 00:43:11,840 --> 00:43:14,600 Speaker 2: most things in bulk. Waiting in a ten person long 853 00:43:14,680 --> 00:43:19,480 Speaker 2: line with overflowing jumbo sized carts is entirely unnecessary. At Costco, 854 00:43:19,640 --> 00:43:22,680 Speaker 2: the machines are basically the express line. It's overseen by 855 00:43:22,680 --> 00:43:25,160 Speaker 2: as many as four people for six machines, or at 856 00:43:25,239 --> 00:43:27,360 Speaker 2: least a dozen cashier lines with both a cashier and 857 00:43:27,360 --> 00:43:29,880 Speaker 2: a bagger. No jobs are being lost here. This is 858 00:43:29,880 --> 00:43:32,120 Speaker 2: possibly the ideal situation for the machines. 859 00:43:32,520 --> 00:43:35,279 Speaker 1: So I don't have a Costco membership. I would die 860 00:43:35,320 --> 00:43:38,120 Speaker 1: of happiness to have one. Phil is just confirming my 861 00:43:39,360 --> 00:43:42,360 Speaker 1: widely held belief that Costco is my version of heaven 862 00:43:42,719 --> 00:43:43,919 Speaker 1: and I want to go there. 863 00:43:44,400 --> 00:43:50,040 Speaker 2: Yeah, And I think this also re emphasizes the connection 864 00:43:50,200 --> 00:43:55,000 Speaker 2: between how the workers are treated and the customer experience 865 00:43:55,040 --> 00:43:57,600 Speaker 2: that people get to have when they go to this store. Right, 866 00:43:57,640 --> 00:44:01,120 Speaker 2: Like we talked about that Dutch store where because it's 867 00:44:01,520 --> 00:44:04,160 Speaker 2: in the Netherlands, you know, there is a social safety net. 868 00:44:05,239 --> 00:44:08,600 Speaker 2: They're providing a really good experience for the customers, and 869 00:44:08,680 --> 00:44:11,640 Speaker 2: the management is not trying to nickel and dime every 870 00:44:12,000 --> 00:44:16,919 Speaker 2: like minute and action of the employees time. Instead, they're 871 00:44:17,480 --> 00:44:20,839 Speaker 2: allowing the employees to like and not just allowing, but 872 00:44:20,920 --> 00:44:24,000 Speaker 2: encouraging and facilitating the employees that spend some time like 873 00:44:24,239 --> 00:44:28,360 Speaker 2: caring for the customers. Costco is another company that treats 874 00:44:28,360 --> 00:44:31,080 Speaker 2: its workers pretty well. And then at the other end 875 00:44:31,120 --> 00:44:33,239 Speaker 2: of the spectrum we have like Dollar General, which is 876 00:44:33,320 --> 00:44:37,120 Speaker 2: notorious for treating its workers about as bad as you 877 00:44:37,160 --> 00:44:39,960 Speaker 2: can legally treat a person, and they were just like 878 00:44:40,080 --> 00:44:43,120 Speaker 2: all in for the self checkout where they would have, 879 00:44:43,280 --> 00:44:46,520 Speaker 2: you know, one or two people in the store managing 880 00:44:46,520 --> 00:44:49,319 Speaker 2: the entire store all aspects of the operations, from like 881 00:44:49,840 --> 00:44:52,600 Speaker 2: managing to stocking the shelves, to receiving deliveries, to mopping 882 00:44:52,640 --> 00:44:55,480 Speaker 2: the floors to fixing the self checkout machines when they 883 00:44:55,480 --> 00:44:59,080 Speaker 2: invariably like need to be cleared. These things are super related. 884 00:44:59,560 --> 00:45:02,920 Speaker 1: Yeah, I do think there is definitely some connection between 885 00:45:03,680 --> 00:45:07,400 Speaker 1: how the like. I mean, it's just decisions being made 886 00:45:07,520 --> 00:45:12,000 Speaker 1: at the corporate level trickling down to the experience that us, 887 00:45:12,080 --> 00:45:14,239 Speaker 1: both as humans who are shopping and humans who are 888 00:45:14,280 --> 00:45:15,560 Speaker 1: checking people out, are having. 889 00:45:16,400 --> 00:45:19,920 Speaker 2: Yeah, like what is valued? Phil goes on, I've experienced 890 00:45:19,920 --> 00:45:22,040 Speaker 2: failure at any and all stores I've used. The machines 891 00:45:22,080 --> 00:45:25,200 Speaker 2: at grocery stores are particularly bad because of the complex 892 00:45:25,239 --> 00:45:28,040 Speaker 2: set of items. I think the machines are optimal at 893 00:45:28,080 --> 00:45:31,560 Speaker 2: five or fewer bar coded items. Beyond that, a trained 894 00:45:31,600 --> 00:45:34,840 Speaker 2: human is far more efficient. Checking out a grocery store 895 00:45:34,880 --> 00:45:38,080 Speaker 2: is a two person operation. That's why there are baggers 896 00:45:38,239 --> 00:45:40,920 Speaker 2: at subourbon stores. At least I find they're mercifully absent 897 00:45:40,960 --> 00:45:43,600 Speaker 2: in urban stores. I prefer to bag my own groceries, 898 00:45:43,600 --> 00:45:45,799 Speaker 2: but I can only do that efficiently because someone else 899 00:45:45,880 --> 00:45:48,800 Speaker 2: is handling the entirely separate process of scanning items and 900 00:45:48,840 --> 00:45:51,960 Speaker 2: handling exceptions. The cashier and I are a team. I 901 00:45:52,040 --> 00:45:53,960 Speaker 2: used to work in the retail tech space against this 902 00:45:54,040 --> 00:45:58,120 Speaker 2: phil as part of an internal communication SaaS company. When 903 00:45:58,200 --> 00:46:01,840 Speaker 2: researching integrating advanced detail hardware, I found a trove of 904 00:46:01,880 --> 00:46:05,680 Speaker 2: dystopian tracking devices, from camera setups to heat mapware customers 905 00:46:05,719 --> 00:46:09,040 Speaker 2: stop in a store for optimizing product positioning, to tracking 906 00:46:09,080 --> 00:46:11,920 Speaker 2: MAC addresses of people on the street. From pinpoint advertising 907 00:46:12,160 --> 00:46:15,600 Speaker 2: the shelves with pressure sensors to present video advertisements. Shit, 908 00:46:15,680 --> 00:46:17,920 Speaker 2: that's not even worth implementing or having developed in the 909 00:46:17,960 --> 00:46:19,839 Speaker 2: first place, as the cost is so much higher than 910 00:46:19,880 --> 00:46:23,200 Speaker 2: the return. Automated checkout machines are the one ubiquitous piece 911 00:46:23,200 --> 00:46:26,359 Speaker 2: that made it to the mainstream, the most frictionless, right, 912 00:46:27,120 --> 00:46:29,960 Speaker 2: the most frictionless version of these is indeed the most dystopian. 913 00:46:30,120 --> 00:46:33,359 Speaker 2: The Amazon Go model, where you're individually tracked throughout the store, 914 00:46:33,400 --> 00:46:36,600 Speaker 2: intercharge for all the items once you leave the store easy, 915 00:46:36,800 --> 00:46:40,160 Speaker 2: but nightmarishly removed from human interaction and giving over so 916 00:46:40,280 --> 00:46:44,120 Speaker 2: much personal data to Amazon. No thanks, sorry for the 917 00:46:44,120 --> 00:46:45,960 Speaker 2: long email, Thanks for the awesome show. 918 00:46:46,200 --> 00:46:50,640 Speaker 1: Cheers, film that is terrifying, and I think that the 919 00:46:50,800 --> 00:46:55,040 Speaker 1: cost of some of this technology it must be astronomical, 920 00:46:55,120 --> 00:46:57,080 Speaker 1: and I can't imagine it's worth it. And so if 921 00:46:57,120 --> 00:47:00,360 Speaker 1: this feels to me like it is investing seeing in 922 00:47:00,400 --> 00:47:02,920 Speaker 1: surveillance tech for surveillance tech's sake. 923 00:47:03,280 --> 00:47:05,279 Speaker 2: Yeah, So thanks Phil for writing in, because that was 924 00:47:05,320 --> 00:47:09,239 Speaker 2: a pretty insightful email with some specialized knowledge. Let me 925 00:47:09,320 --> 00:47:11,839 Speaker 2: go on. This one comes from Susan Bridget. I think 926 00:47:11,840 --> 00:47:16,280 Speaker 2: you're gonna like this, Bridget. Mike. I dislike self checkout 927 00:47:16,280 --> 00:47:19,600 Speaker 2: immensely and only use it if forced to. For example, 928 00:47:19,640 --> 00:47:21,360 Speaker 2: if the line for a person is really long and 929 00:47:21,400 --> 00:47:24,000 Speaker 2: I only have one item that is maybe once every 930 00:47:24,040 --> 00:47:26,359 Speaker 2: year or two. My goal is to never use it. 931 00:47:26,640 --> 00:47:29,400 Speaker 2: I think it's impersonal, frustrating, and job stealing. When I 932 00:47:29,400 --> 00:47:31,640 Speaker 2: lived in Boston, the stopping shop near me had these 933 00:47:31,680 --> 00:47:33,360 Speaker 2: wants you could take with you as you shopped and 934 00:47:33,400 --> 00:47:35,600 Speaker 2: bag your groceries in your cart. You just had to 935 00:47:35,640 --> 00:47:37,680 Speaker 2: pay on the way out. I didn't mind those, and 936 00:47:37,680 --> 00:47:40,719 Speaker 2: the technology seemed more reliable than the typical self checkout. 937 00:47:40,920 --> 00:47:42,640 Speaker 2: You paid a cashier, but you didn't have to put 938 00:47:42,640 --> 00:47:45,680 Speaker 2: your groceries on a belt. Occasionally they would randomly flag 939 00:47:45,719 --> 00:47:47,479 Speaker 2: you for a spot check of your items. I guess 940 00:47:47,480 --> 00:47:50,080 Speaker 2: to prevent theft. After they scanned a few items, you 941 00:47:50,120 --> 00:47:52,799 Speaker 2: were on your way. I actually liked that system way 942 00:47:52,800 --> 00:47:56,160 Speaker 2: better than self checkout. Susan goes on to thank us 943 00:47:56,200 --> 00:48:00,279 Speaker 2: for the episode about Claudine Gay. She brings up some 944 00:48:00,360 --> 00:48:03,799 Speaker 2: really good points about that that it's not a coincidence 945 00:48:03,800 --> 00:48:05,680 Speaker 2: that all of the Ivy League college presidents called it 946 00:48:05,719 --> 00:48:08,600 Speaker 2: testified before Congress were women. It's not a coincidence that 947 00:48:08,600 --> 00:48:10,160 Speaker 2: two of the three women are now gone from their 948 00:48:10,239 --> 00:48:13,000 Speaker 2: leadership roles. It's not a coincidence that the prime target 949 00:48:13,040 --> 00:48:15,400 Speaker 2: for the far rights campaign was a highly qualified black woman. 950 00:48:16,200 --> 00:48:18,480 Speaker 2: There are so many mediocre white men holding positions of 951 00:48:18,560 --> 00:48:21,400 Speaker 2: leadership that are never targeted. Yeah, so thanks Susan for 952 00:48:21,840 --> 00:48:23,440 Speaker 2: the nice email. 953 00:48:24,040 --> 00:48:27,120 Speaker 1: Well, thanks for listening, Susan, and I do like this email. 954 00:48:27,160 --> 00:48:30,080 Speaker 1: It kind of I like it because it affirms my 955 00:48:30,160 --> 00:48:31,839 Speaker 1: worldview surprisingly enough. 956 00:48:33,840 --> 00:48:38,479 Speaker 2: Yeah, and it's interesting that you know. Susan is clear 957 00:48:38,640 --> 00:48:41,839 Speaker 2: that she dislikes them the self checkout immensely, but then 958 00:48:41,920 --> 00:48:47,360 Speaker 2: goes on to describe this other less oppressive system of 959 00:48:47,680 --> 00:48:51,600 Speaker 2: checking oneself out that was less objectionable. Right, so it's 960 00:48:52,760 --> 00:48:55,800 Speaker 2: I do have to wonder how much of this people's 961 00:48:55,920 --> 00:49:00,319 Speaker 2: visceral reaction against self checkout is just the sort of 962 00:49:00,400 --> 00:49:05,400 Speaker 2: jankiness of the machines and the frustration of standing there 963 00:49:05,440 --> 00:49:08,160 Speaker 2: while it's like furiously beeping at you and telling you 964 00:49:08,239 --> 00:49:13,440 Speaker 2: that you've done something wrong. That like maddening, frustrating feeling. 965 00:49:14,320 --> 00:49:16,920 Speaker 1: I think I have a special sensitivity to machines beeping 966 00:49:16,960 --> 00:49:19,360 Speaker 1: at me. Part of me wonders if my feelings on 967 00:49:19,400 --> 00:49:22,359 Speaker 1: self checkout are because I am the befuddled person who 968 00:49:22,440 --> 00:49:24,520 Speaker 1: can't figure it out and the machine is beeping and 969 00:49:24,520 --> 00:49:28,319 Speaker 1: everybody's looking and I'm like having an issue. 970 00:49:28,600 --> 00:49:33,120 Speaker 2: Yeah, but it's just software, right, and it's one one 971 00:49:33,200 --> 00:49:34,080 Speaker 2: can master it. 972 00:49:34,480 --> 00:49:35,439 Speaker 3: I'll get there one day. 973 00:49:36,840 --> 00:49:40,480 Speaker 2: Okay, here's our final email from Emily. Emily brought up 974 00:49:40,480 --> 00:49:44,960 Speaker 2: some really good points. I've been working as a cashier 975 00:49:45,000 --> 00:49:47,239 Speaker 2: at a grocery store since twenty twenty and have been 976 00:49:47,280 --> 00:49:49,640 Speaker 2: on the front lines of the self checkout debate, mostly 977 00:49:49,680 --> 00:49:52,760 Speaker 2: from customers complaining to me, a person with no power 978 00:49:52,800 --> 00:49:54,960 Speaker 2: over the addition of self checkout machines at our store, 979 00:49:55,239 --> 00:49:58,560 Speaker 2: about how hated they are and that they're taking my job. Well. 980 00:49:58,600 --> 00:50:00,520 Speaker 2: I can certainly see where they concern about my job 981 00:50:00,560 --> 00:50:03,759 Speaker 2: security comes from, at least in my personal experience, the 982 00:50:03,760 --> 00:50:06,600 Speaker 2: inclusion of self checkout machines has actually made my job 983 00:50:06,680 --> 00:50:09,799 Speaker 2: easier and more secure. Pretty much every member of my 984 00:50:09,880 --> 00:50:12,680 Speaker 2: team has suffered some sort of checking related injury, be 985 00:50:12,760 --> 00:50:15,480 Speaker 2: it bone spurs, carpal tunnel, or tennis elbow from the 986 00:50:15,480 --> 00:50:18,960 Speaker 2: repetitive motions of scanning items with self checkout. Rather than 987 00:50:19,000 --> 00:50:21,799 Speaker 2: having to take unpaid time off work, since as usually 988 00:50:21,840 --> 00:50:24,239 Speaker 2: starts before you've worked enough hours to get paid time off, 989 00:50:24,520 --> 00:50:27,160 Speaker 2: we can instead work the self checkout machines, which require 990 00:50:27,239 --> 00:50:30,480 Speaker 2: less manual labor and therefore less stress on work related injuries. 991 00:50:30,719 --> 00:50:33,200 Speaker 2: As for the machines taking our jobs, I'm a little 992 00:50:33,200 --> 00:50:35,600 Speaker 2: more split on the truth of this. On one hand, 993 00:50:35,719 --> 00:50:37,560 Speaker 2: I don't want to go to bat for any corporations 994 00:50:37,600 --> 00:50:40,279 Speaker 2: looking to raise profits by cutting labor costs. But on 995 00:50:40,320 --> 00:50:43,279 Speaker 2: the other as someone who was an essential worker during 996 00:50:43,280 --> 00:50:46,359 Speaker 2: the initial COVID lockdown and the ensuing spikes and variations, 997 00:50:46,680 --> 00:50:48,319 Speaker 2: I can tell you it is a thankless job, and 998 00:50:48,360 --> 00:50:50,279 Speaker 2: I don't regrudge anyone who quits to move on to 999 00:50:50,360 --> 00:50:53,720 Speaker 2: less people facing work. The front end has the highest 1000 00:50:53,719 --> 00:50:56,759 Speaker 2: turnover rate of any department at my store. Since having 1001 00:50:56,800 --> 00:50:59,040 Speaker 2: self checkout machines, I at least do not have to 1002 00:50:59,040 --> 00:51:02,440 Speaker 2: deal with customers can plaining to me about understaffing and 1003 00:51:02,520 --> 00:51:05,640 Speaker 2: long lines. Obviously, I'm just one person with one experience, 1004 00:51:05,760 --> 00:51:07,319 Speaker 2: but I figured i'd give my point of view since 1005 00:51:07,360 --> 00:51:09,319 Speaker 2: it became such a heated topic. Love the show and 1006 00:51:09,360 --> 00:51:11,520 Speaker 2: hope you're all doing well. Thanks for your time, Emily. 1007 00:51:12,080 --> 00:51:14,600 Speaker 1: Emily, thank you so much for this email, because I 1008 00:51:14,680 --> 00:51:17,160 Speaker 1: really wanted to get the perspective of somebody who currently 1009 00:51:17,239 --> 00:51:21,400 Speaker 1: works retail. I did not even think about the repetitive 1010 00:51:21,520 --> 00:51:25,680 Speaker 1: motion of scanning out people's items and what that might 1011 00:51:25,760 --> 00:51:30,040 Speaker 1: do to someone's body, and so the alternative of being like, well, 1012 00:51:30,080 --> 00:51:32,359 Speaker 1: you don't have to take time off and make no money, 1013 00:51:32,360 --> 00:51:34,719 Speaker 1: you can do the self checkout, which is a lot 1014 00:51:34,840 --> 00:51:35,920 Speaker 1: less physically. 1015 00:51:35,480 --> 00:51:36,160 Speaker 3: Demanding on you. 1016 00:51:36,560 --> 00:51:39,880 Speaker 1: I didn't even think about that as a potential reason 1017 00:51:39,920 --> 00:51:43,640 Speaker 1: why self checkout might be better in retail establishments, and 1018 00:51:43,680 --> 00:51:47,400 Speaker 1: so I'm really thankful for that perspective. Also, I didn't 1019 00:51:47,600 --> 00:51:49,719 Speaker 1: think about this either, but it makes so much sense 1020 00:51:49,719 --> 00:51:54,120 Speaker 1: that people who have issues with self checkout complaining to 1021 00:51:54,200 --> 00:51:56,960 Speaker 1: the retail cashier who like she's like, oh well, I 1022 00:51:57,000 --> 00:51:58,759 Speaker 1: actually made the decision to put that to put that 1023 00:51:58,800 --> 00:52:00,560 Speaker 1: in the store. Thanks for letting me know. Oh, I'll 1024 00:52:00,600 --> 00:52:02,719 Speaker 1: take it out. Like what do people think that? Like 1025 00:52:02,760 --> 00:52:05,080 Speaker 1: that's how the decisions get made. Like, even if you 1026 00:52:05,560 --> 00:52:07,799 Speaker 1: have issues with self checkout like I do, you don't 1027 00:52:07,800 --> 00:52:10,879 Speaker 1: need like complaining to the retail cashier who has who 1028 00:52:11,040 --> 00:52:13,640 Speaker 1: did not make the decision to put that there is 1029 00:52:13,719 --> 00:52:15,000 Speaker 1: not the proper way to do that. 1030 00:52:15,200 --> 00:52:16,680 Speaker 3: Complain on your podcast people. 1031 00:52:17,160 --> 00:52:21,000 Speaker 2: Yeah, and not just complaining to this cashier who sounds 1032 00:52:21,000 --> 00:52:23,440 Speaker 2: like didn't really want to hear it, but also framing 1033 00:52:23,480 --> 00:52:26,319 Speaker 2: it as like and I'm complaining because I really care 1034 00:52:26,360 --> 00:52:29,600 Speaker 2: about protecting your job, Like, get over yourself. You don't 1035 00:52:29,600 --> 00:52:32,720 Speaker 2: care about this person's job. If you cared, you would 1036 00:52:32,760 --> 00:52:36,120 Speaker 2: like say something nice to them or like tell a joke. Uh, 1037 00:52:36,400 --> 00:52:40,120 Speaker 2: not just like complain at them about how you are inconvenienced. 1038 00:52:40,520 --> 00:52:43,239 Speaker 1: I'm complaining at you for your benefit, don't you see this? 1039 00:52:44,280 --> 00:52:44,520 Speaker 2: Yeah? 1040 00:52:44,560 --> 00:52:46,480 Speaker 1: And also like it just I mean it also kind 1041 00:52:46,480 --> 00:52:51,359 Speaker 1: of goes back to the conversation about retail establishments and loneliness, 1042 00:52:51,400 --> 00:52:54,680 Speaker 1: Like it just confirms to me that putting the burden 1043 00:52:54,800 --> 00:52:58,080 Speaker 1: on retail cashiers to stave off the loneliness epidemic when 1044 00:52:58,520 --> 00:53:01,040 Speaker 1: Emily is saying that the people the kind of experience 1045 00:53:01,080 --> 00:53:03,520 Speaker 1: that people are having working at the front end like 1046 00:53:03,560 --> 00:53:06,160 Speaker 1: this are not really that great and that people are 1047 00:53:06,239 --> 00:53:09,120 Speaker 1: rude and people, you know, maybe it's not something that 1048 00:53:09,120 --> 00:53:11,319 Speaker 1: people will want to would have a lot of warm 1049 00:53:11,360 --> 00:53:12,000 Speaker 1: fuzzies about. 1050 00:53:12,600 --> 00:53:16,200 Speaker 2: Yeah, that aspect really like stuck with me. I've been 1051 00:53:16,200 --> 00:53:18,760 Speaker 2: thinking about that a lot since we did that episode 1052 00:53:18,800 --> 00:53:22,560 Speaker 2: and read these emails. How you know, I personally feel 1053 00:53:22,560 --> 00:53:25,360 Speaker 2: like I've you know, the experience of living in a 1054 00:53:25,400 --> 00:53:30,680 Speaker 2: city during twenty twenty when COVID disrupted all of our 1055 00:53:30,719 --> 00:53:34,920 Speaker 2: lives and we were like trapped inside. It really like 1056 00:53:35,360 --> 00:53:37,759 Speaker 2: changed a lot of things that certainly changed me. And 1057 00:53:37,840 --> 00:53:40,759 Speaker 2: so one part one thing after this conversation is I've 1058 00:53:40,760 --> 00:53:43,680 Speaker 2: just been thinking about how has it changed me? Right? Like, 1059 00:53:44,800 --> 00:53:47,759 Speaker 2: maybe I should go through the cash this the like 1060 00:53:47,880 --> 00:53:50,400 Speaker 2: human cashier line a little bit more often. I don't know. 1061 00:53:50,920 --> 00:53:54,920 Speaker 2: I recently, you know, I think over the weekend, went 1062 00:53:54,960 --> 00:53:56,920 Speaker 2: to the grocery store, that same giant that we've been 1063 00:53:56,920 --> 00:54:00,359 Speaker 2: talking about all the time, and there is some kind 1064 00:54:00,360 --> 00:54:03,880 Speaker 2: of issue happening at the self checkout machines, and the 1065 00:54:03,920 --> 00:54:07,880 Speaker 2: line was just like not moving, and so I was like, 1066 00:54:07,920 --> 00:54:11,000 Speaker 2: you know what, as a little experiment, I'm going to 1067 00:54:11,080 --> 00:54:14,040 Speaker 2: get in the human cashier line. And I did have 1068 00:54:14,080 --> 00:54:16,640 Speaker 2: a perfectly nice interaction with the woman checking me out. 1069 00:54:16,680 --> 00:54:20,120 Speaker 2: We talked about the fennel I was buying. It was 1070 00:54:20,160 --> 00:54:23,239 Speaker 2: a nice interaction. So maybe the self checkout is like 1071 00:54:23,280 --> 00:54:26,080 Speaker 2: not even the thing. Maybe we just like need to 1072 00:54:26,440 --> 00:54:27,920 Speaker 2: treat each other a little better. 1073 00:54:28,600 --> 00:54:29,680 Speaker 3: Oh, I think that's right. 1074 00:54:29,800 --> 00:54:32,800 Speaker 1: Like the self checkout can be like an internal test 1075 00:54:32,920 --> 00:54:37,160 Speaker 1: of how we're doing, how well or how badly we're 1076 00:54:37,160 --> 00:54:39,160 Speaker 1: connecting and thinking about our fellow human. 1077 00:54:39,760 --> 00:54:41,400 Speaker 2: Yeah, it's true. I mean a lot of time when 1078 00:54:41,400 --> 00:54:46,920 Speaker 2: I'm feeling particularly low or stressed or angry or something, 1079 00:54:47,160 --> 00:54:49,479 Speaker 2: those are the times when I just want to head 1080 00:54:49,520 --> 00:54:54,919 Speaker 2: down go into the self checkout line. And yeah, maybe 1081 00:54:54,920 --> 00:54:56,799 Speaker 2: that can be a little like signal to me to 1082 00:54:56,840 --> 00:54:59,239 Speaker 2: be a little bit more mindful of my mood and 1083 00:54:59,280 --> 00:55:02,040 Speaker 2: maybe try to change it by i don't know, being 1084 00:55:02,120 --> 00:55:03,200 Speaker 2: kind to somebody or something. 1085 00:55:03,280 --> 00:55:06,560 Speaker 1: Oh, I have to do that with intention when I'm 1086 00:55:06,640 --> 00:55:09,960 Speaker 1: in that place where everything is going wrong and I 1087 00:55:09,960 --> 00:55:12,759 Speaker 1: feel like I'm about to lash out. I it's like 1088 00:55:12,920 --> 00:55:17,080 Speaker 1: a personal challenge with myself to like go do something 1089 00:55:17,160 --> 00:55:21,239 Speaker 1: nice for a stranger and see if that reconnects, like 1090 00:55:21,320 --> 00:55:24,000 Speaker 1: reconnects you, recalibrates, you ground you. Like it's like a 1091 00:55:24,040 --> 00:55:27,920 Speaker 1: personal challenge because otherwise I just know myself and I 1092 00:55:27,920 --> 00:55:30,720 Speaker 1: can really spin out and it's like, oh, the reason 1093 00:55:31,200 --> 00:55:33,919 Speaker 1: that this work thing didn't go well if this person 1094 00:55:33,920 --> 00:55:35,400 Speaker 1: who had nothing to do with it, I mean take. 1095 00:55:35,280 --> 00:55:36,200 Speaker 3: My anger around on them. 1096 00:55:36,239 --> 00:55:38,680 Speaker 1: Like so it's it's like a little a little challenge 1097 00:55:38,719 --> 00:55:41,359 Speaker 1: that I have to myself to sort of reconnect and 1098 00:55:41,400 --> 00:55:44,480 Speaker 1: stay grounded. And then also just like stay I just 1099 00:55:44,520 --> 00:55:47,319 Speaker 1: try to stay grateful and checked in to the fact 1100 00:55:47,320 --> 00:55:51,360 Speaker 1: that we're all sharing space together, sharing this world together, 1101 00:55:51,400 --> 00:55:55,799 Speaker 1: and like it's comes with annoyances and handcuffs, but at 1102 00:55:55,840 --> 00:55:56,560 Speaker 1: the end of the day, like. 1103 00:55:56,520 --> 00:55:57,040 Speaker 3: What a gift. 1104 00:55:57,760 --> 00:56:01,400 Speaker 2: Yeah, it's true, And you know, maybe we have to 1105 00:56:01,440 --> 00:56:06,520 Speaker 2: have three or four mundane, draining interactions to be able 1106 00:56:06,560 --> 00:56:10,239 Speaker 2: to have that one good one that like changes our mood, 1107 00:56:10,280 --> 00:56:14,000 Speaker 2: spends it more positive and gives us those those warm 1108 00:56:14,040 --> 00:56:17,279 Speaker 2: fuzzies with the stranger at the store. All right, so 1109 00:56:17,719 --> 00:56:21,160 Speaker 2: thanks again for writing in. Getting this kind of listener 1110 00:56:21,160 --> 00:56:25,840 Speaker 2: feedback is amazing, feels really good, and bridget we still 1111 00:56:26,000 --> 00:56:28,719 Speaker 2: need to do that experiment where we go to these 1112 00:56:28,719 --> 00:56:31,719 Speaker 2: stores and like actually compare, although it feels a little 1113 00:56:31,800 --> 00:56:32,960 Speaker 2: less charged now. 1114 00:56:33,440 --> 00:56:34,080 Speaker 3: Oh. 1115 00:56:33,960 --> 00:56:37,360 Speaker 1: When when we were qaing the episode, I was like 1116 00:56:37,480 --> 00:56:39,120 Speaker 1: getting getting my shoes on. 1117 00:56:39,200 --> 00:56:41,080 Speaker 3: I was like, let's do this, but we're still gonna 1118 00:56:41,120 --> 00:56:41,399 Speaker 3: do it. 1119 00:56:41,760 --> 00:56:45,680 Speaker 1: Details to come, and as I said, I want to 1120 00:56:45,800 --> 00:56:50,600 Speaker 1: start really untacking other low stakes tech stuff. One that 1121 00:56:50,680 --> 00:56:53,640 Speaker 1: I might have is QR code menus. Maybe that'll be 1122 00:56:53,680 --> 00:56:55,359 Speaker 1: next because I have a lot of feelings about QR 1123 00:56:55,400 --> 00:56:57,600 Speaker 1: code menus and if you do too, maybe start percolating 1124 00:56:57,600 --> 00:57:00,400 Speaker 1: on that. But yeah, thanks for listening and thanks for 1125 00:57:00,440 --> 00:57:03,120 Speaker 1: sharing your feedback with us and Mike. I guess I'll 1126 00:57:03,120 --> 00:57:04,160 Speaker 1: see you at the grocery store. 1127 00:57:04,480 --> 00:57:06,480 Speaker 2: Yeah, I'll see you there away from the self checkout. 1128 00:57:11,520 --> 00:57:13,560 Speaker 1: Got a story about an interesting thing in tech, or 1129 00:57:13,680 --> 00:57:15,480 Speaker 1: just want to say hi, You can reach us at 1130 00:57:15,520 --> 00:57:18,240 Speaker 1: Hello at tangody dot com. You can also find transcripts 1131 00:57:18,240 --> 00:57:20,240 Speaker 1: for today's episode at tenggody dot com. 1132 00:57:20,400 --> 00:57:21,760 Speaker 3: There Are No Girls on the Internet. 1133 00:57:21,600 --> 00:57:23,920 Speaker 1: Was created by me Bridget tod It's a production of 1134 00:57:23,960 --> 00:57:27,680 Speaker 1: iHeartRadio and an Unbossed creative. Jonathan Strickland is our executive producer. 1135 00:57:27,960 --> 00:57:31,200 Speaker 1: Tarry Harrison is our producer and sound engineer. Michael Almato 1136 00:57:31,280 --> 00:57:34,840 Speaker 1: is our contributing producer. I'm your host, bridget Todd. If 1137 00:57:34,880 --> 00:57:36,680 Speaker 1: you want to help us grow, rate and review. 1138 00:57:36,480 --> 00:57:37,640 Speaker 4: Us on Apple Podcasts. 1139 00:57:38,280 --> 00:57:41,120 Speaker 1: For more podcasts from iHeartRadio, check out the iHeartRadio app, 1140 00:57:41,160 --> 00:57:54,280 Speaker 1: Apple Podcasts, or wherever you get your podcasts.