1 00:00:00,520 --> 00:00:02,760 Speaker 1: Hello, there, it's me Josh, and I just wanted to 2 00:00:02,840 --> 00:00:06,760 Speaker 1: let you know, people living in Minneapolis or with access 3 00:00:06,800 --> 00:00:09,440 Speaker 1: to Minneapolis, I'm going to be in your city doing 4 00:00:09,480 --> 00:00:12,320 Speaker 1: my solo show, The End of the World or How 5 00:00:12,360 --> 00:00:15,640 Speaker 1: I Learned to Start Worrying and Love Humanity. It's a 6 00:00:15,680 --> 00:00:20,200 Speaker 1: gas and it's pretty interesting too. So in June I'll 7 00:00:20,239 --> 00:00:23,400 Speaker 1: be at the Parkway Theater in Minneapolis, and the next 8 00:00:23,480 --> 00:00:26,520 Speaker 1: night I'll be at the Miracle Theater in Washington, d C. 9 00:00:27,480 --> 00:00:30,520 Speaker 1: So come see me. Go to the Miracle Theater dot 10 00:00:30,560 --> 00:00:37,920 Speaker 1: com or the Parkway Theater dot com for tickets. Welcome 11 00:00:37,920 --> 00:00:40,200 Speaker 1: to Stuff You Should Know, a production of five Heart 12 00:00:40,280 --> 00:00:48,880 Speaker 1: Radios How Stuff Works. Hey, and welcome to the podcast. 13 00:00:48,960 --> 00:00:52,120 Speaker 1: I'm Josh Clark, and there's Charles W Chuck Bryant. And 14 00:00:52,159 --> 00:00:57,400 Speaker 1: there's our guest producer today, Dylan. Yeah. It's been a minute. Yeah. 15 00:00:57,600 --> 00:01:02,400 Speaker 1: We picked Dylan up by UM Advertising on task Rabbit 16 00:01:03,800 --> 00:01:06,400 Speaker 1: saying that we needed a guest producer today, and here 17 00:01:06,400 --> 00:01:10,479 Speaker 1: he is. That's not true, but it could be, Chuck, 18 00:01:10,520 --> 00:01:16,840 Speaker 1: it could be. It is true. Um. The reason it 19 00:01:16,880 --> 00:01:20,160 Speaker 1: could be is because, whether you know this or not, Charles, 20 00:01:20,560 --> 00:01:24,280 Speaker 1: we are living smack dab in the middle of what's 21 00:01:24,280 --> 00:01:30,200 Speaker 1: called a gig economy. Uh sure, partially, yeah, yeah, And 22 00:01:30,240 --> 00:01:33,959 Speaker 1: a lot of people are blaming UM the recession for it, 23 00:01:34,720 --> 00:01:36,920 Speaker 1: uh And I think that's definitely part of it. Like 24 00:01:36,959 --> 00:01:40,880 Speaker 1: there's a an abundance of people who didn't have jobs 25 00:01:41,360 --> 00:01:45,200 Speaker 1: starting in late two early two thousand nine, and it's 26 00:01:45,280 --> 00:01:49,800 Speaker 1: kind of become the tradition to give people jobs, but 27 00:01:50,000 --> 00:01:52,560 Speaker 1: not give them full time jobs because there's a lot 28 00:01:52,560 --> 00:01:54,600 Speaker 1: of things you can get around if you're an employer, 29 00:01:54,600 --> 00:01:58,040 Speaker 1: as we'll talk about UM. So the gig economy has 30 00:01:58,160 --> 00:02:01,760 Speaker 1: developed as a part of the recession, but it's also 31 00:02:01,800 --> 00:02:04,760 Speaker 1: developed because there's been a lot of tech, there's been 32 00:02:04,760 --> 00:02:10,760 Speaker 1: a lot of slow pace government playing catch up. There's UM, 33 00:02:10,800 --> 00:02:13,720 Speaker 1: there's and there's an abundance of workers, but it's nothing new. 34 00:02:13,800 --> 00:02:18,200 Speaker 1: The idea of of um kind of being paid as 35 00:02:18,240 --> 00:02:22,280 Speaker 1: an independent contractor working to fulfill a particular task and 36 00:02:22,320 --> 00:02:24,400 Speaker 1: just getting paid for the task, which is kind of 37 00:02:24,440 --> 00:02:27,720 Speaker 1: the basis of the gig economy. That's that's actually pretty 38 00:02:27,720 --> 00:02:31,520 Speaker 1: old from what I read prior to the Industrial Revolution. 39 00:02:31,919 --> 00:02:35,280 Speaker 1: That's basically how most people made a living unless you 40 00:02:35,320 --> 00:02:39,040 Speaker 1: were like a highly skilled crafts person, right like a brewer, 41 00:02:39,639 --> 00:02:44,679 Speaker 1: or a blacksmith or something like that, smithy smithy. Yeah, 42 00:02:44,720 --> 00:02:47,960 Speaker 1: I mean things really uh changed at a certain point 43 00:02:47,960 --> 00:02:50,960 Speaker 1: where it went from that too. You get a job 44 00:02:51,040 --> 00:02:53,399 Speaker 1: for a company, and you work for that company for 45 00:02:53,400 --> 00:02:57,680 Speaker 1: forty five years, and then you retire for that company, right, 46 00:02:57,720 --> 00:02:59,760 Speaker 1: and they take care of you in retirement and while 47 00:02:59,800 --> 00:03:03,040 Speaker 1: you're working for them, And that was that was really 48 00:03:03,040 --> 00:03:05,680 Speaker 1: how things went for for a long long time for 49 00:03:05,800 --> 00:03:08,640 Speaker 1: like our grandparents generation and even to a certain degree 50 00:03:08,639 --> 00:03:13,280 Speaker 1: our parents generation. And things really really changed again, and 51 00:03:13,360 --> 00:03:15,520 Speaker 1: now we kind of are back in this place where 52 00:03:16,160 --> 00:03:17,720 Speaker 1: you know, the gig economy can mean a lot of 53 00:03:17,760 --> 00:03:21,440 Speaker 1: things that can be um, I mean technically any freelancer, 54 00:03:22,520 --> 00:03:25,200 Speaker 1: like when I used to work as a film production 55 00:03:25,400 --> 00:03:29,679 Speaker 1: freelance U production assistant, Like, that's technically part of the 56 00:03:29,720 --> 00:03:33,560 Speaker 1: gig economy. Yeah, because you were paid for the gig. 57 00:03:33,639 --> 00:03:36,400 Speaker 1: You weren't like part of a company's You were in 58 00:03:36,440 --> 00:03:39,440 Speaker 1: a full time employee with a company, right. Yeah. But 59 00:03:39,520 --> 00:03:41,560 Speaker 1: like when I hear gig economy these days, and I 60 00:03:41,600 --> 00:03:48,440 Speaker 1: think most people associate the modern two thousand nineteen usage 61 00:03:48,480 --> 00:03:50,920 Speaker 1: of it, you kind of think of the tech industry 62 00:03:50,960 --> 00:03:54,080 Speaker 1: and you think of being a driver for a ride 63 00:03:54,080 --> 00:03:58,920 Speaker 1: share company or UH working or selling stuff on Etsy 64 00:03:59,080 --> 00:04:01,800 Speaker 1: or working for scrab it or something like that. Yeah, 65 00:04:01,840 --> 00:04:05,040 Speaker 1: I mean it's basically synonymous with with tech platforms that 66 00:04:05,120 --> 00:04:09,760 Speaker 1: connect people to consumers directly. That's kind of that's and 67 00:04:09,880 --> 00:04:12,000 Speaker 1: gig economy. I think that's a really good point when 68 00:04:12,000 --> 00:04:15,400 Speaker 1: you use the term gig economy, Yeah, that basically describes 69 00:04:15,440 --> 00:04:18,800 Speaker 1: this modern incarnation of it. But gig work, like you 70 00:04:18,839 --> 00:04:21,080 Speaker 1: were just saying, is is it's been around for a 71 00:04:21,160 --> 00:04:24,720 Speaker 1: very long time. And like remember all those temp services 72 00:04:24,800 --> 00:04:30,480 Speaker 1: like manpower and UM there was Okay, so that's that's 73 00:04:30,560 --> 00:04:34,120 Speaker 1: gig work too. Basically, if you're a dog walker and 74 00:04:34,320 --> 00:04:39,080 Speaker 1: you go put a sign on a UM street pole 75 00:04:39,240 --> 00:04:41,840 Speaker 1: or light a light pole at the corner, and you've 76 00:04:41,839 --> 00:04:45,320 Speaker 1: got like the little tearoffs for your phone numbers, that's 77 00:04:45,360 --> 00:04:48,080 Speaker 1: basically working in the gig economy. Now, if you took 78 00:04:48,160 --> 00:04:51,880 Speaker 1: that street pole with the little flyer that you made 79 00:04:52,560 --> 00:04:56,800 Speaker 1: and swapped it out for an app, that's that's basically 80 00:04:56,800 --> 00:05:00,919 Speaker 1: what we're living with right now. Yeah. So, UM, here's 81 00:05:00,960 --> 00:05:03,239 Speaker 1: a stat for you. There are all kinds of stats 82 00:05:03,240 --> 00:05:07,480 Speaker 1: for the gig economy, but here's one UM from UH 83 00:05:07,480 --> 00:05:12,480 Speaker 1: in two thousand five. The gig economy was about ten 84 00:05:13,240 --> 00:05:16,880 Speaker 1: of the U S workforce, and just ten years later 85 00:05:16,960 --> 00:05:21,240 Speaker 1: that had grown to about six and then just one 86 00:05:21,320 --> 00:05:27,039 Speaker 1: year later in two thousand sixteen, UM of Americans reported 87 00:05:27,040 --> 00:05:29,800 Speaker 1: earning some kind of money from what they called the 88 00:05:29,839 --> 00:05:33,160 Speaker 1: digital platform economy. And that's what we're talking about with 89 00:05:33,200 --> 00:05:36,479 Speaker 1: like ride share or Airbnb and task grab it and 90 00:05:36,480 --> 00:05:38,760 Speaker 1: stuff like that. So that's a lot of people, and 91 00:05:38,760 --> 00:05:41,320 Speaker 1: that's you know, we'll get into other sets later about 92 00:05:41,320 --> 00:05:44,800 Speaker 1: whether or not these are people that UM are doing 93 00:05:44,839 --> 00:05:46,720 Speaker 1: this little thing on the side, like I worked my 94 00:05:46,800 --> 00:05:48,840 Speaker 1: day job then a go drive for Uber at night 95 00:05:49,600 --> 00:05:53,640 Speaker 1: or uh. Basically, more and more people are doing this 96 00:05:53,839 --> 00:05:56,680 Speaker 1: as their full time job without the benefits of being 97 00:05:56,720 --> 00:06:01,119 Speaker 1: full time employees. And from the very spare um number 98 00:06:01,160 --> 00:06:04,640 Speaker 1: of studies that are actually like conducted on this gig 99 00:06:04,640 --> 00:06:08,480 Speaker 1: economy and the ramifications that holds UM those are the 100 00:06:08,520 --> 00:06:13,400 Speaker 1: people that people who work full time in gig economy jobs, 101 00:06:13,560 --> 00:06:16,760 Speaker 1: especially tech platform jobs, they they tend to be the 102 00:06:16,800 --> 00:06:20,440 Speaker 1: most vulnerable as far as workers go. Yeah, so there's 103 00:06:20,480 --> 00:06:24,520 Speaker 1: really a few, um, well, there's three parts to this. 104 00:06:24,640 --> 00:06:29,760 Speaker 1: There's the the platform companies that are I mean, it's 105 00:06:29,800 --> 00:06:31,760 Speaker 1: kind of funny, I guess it's genius in a way. 106 00:06:31,760 --> 00:06:34,560 Speaker 1: But all they're doing is connecting people. Yeah, they're they're 107 00:06:34,600 --> 00:06:38,560 Speaker 1: replacing those old like temp agencies and there, but you 108 00:06:38,560 --> 00:06:40,159 Speaker 1: don't have to go in and fill out stuff. You 109 00:06:40,279 --> 00:06:43,840 Speaker 1: just log on, create a profile and start. So that's 110 00:06:43,839 --> 00:06:46,520 Speaker 1: a that's one appealing part of it too. Yeah. So 111 00:06:46,600 --> 00:06:49,080 Speaker 1: what they do is they they're gonna draw that direct 112 00:06:49,160 --> 00:06:53,040 Speaker 1: line between you, between the consumer and the producers. So 113 00:06:53,160 --> 00:06:56,479 Speaker 1: they everyone who's ever done a rideshare knows you just 114 00:06:56,480 --> 00:06:58,960 Speaker 1: click on the little thing and you can pay through 115 00:06:59,000 --> 00:07:02,200 Speaker 1: the website and they get whatever percentage of money they get. 116 00:07:02,760 --> 00:07:08,360 Speaker 1: The hindy I think is no, no, no, the technology 117 00:07:08,360 --> 00:07:13,880 Speaker 1: platform gets money and obviously the gig worker gets money, right, 118 00:07:14,280 --> 00:07:17,640 Speaker 1: And all they're doing is facilitating that connection, right. But 119 00:07:17,680 --> 00:07:20,240 Speaker 1: they're also one of the things that that um, these 120 00:07:20,520 --> 00:07:24,160 Speaker 1: apps can do that is totally new and revolutionary is 121 00:07:24,200 --> 00:07:27,400 Speaker 1: that they can fulfill demand. They can connect supply and 122 00:07:27,440 --> 00:07:31,040 Speaker 1: demand in real time, like you know when you when 123 00:07:31,080 --> 00:07:35,480 Speaker 1: you hail like a ride app or hail a ride 124 00:07:35,480 --> 00:07:37,880 Speaker 1: through an app. I think is the way all the 125 00:07:37,920 --> 00:07:43,679 Speaker 1: millennial right, um, you you have you have just entered 126 00:07:43,720 --> 00:07:45,960 Speaker 1: like this world where you are saying I need to 127 00:07:46,040 --> 00:07:47,760 Speaker 1: ride right now, And they say, oh, we have a 128 00:07:47,800 --> 00:07:49,960 Speaker 1: car near you right now, let's send this person over 129 00:07:50,040 --> 00:07:53,000 Speaker 1: Like it's real time demand that's being fulfilled. Whereas if 130 00:07:53,040 --> 00:07:56,560 Speaker 1: it were just that that person who is in a 131 00:07:56,560 --> 00:07:59,240 Speaker 1: car and saying like I could use some extra scratch, 132 00:07:59,280 --> 00:08:00,680 Speaker 1: I want to take you some where, what are they 133 00:08:00,680 --> 00:08:02,600 Speaker 1: gonna do, like just drive down the sidewalk and be like, 134 00:08:02,600 --> 00:08:04,720 Speaker 1: do you need to ride somewhere right now? No? Okay, 135 00:08:04,840 --> 00:08:06,720 Speaker 1: do you need to ride? Think about how much time 136 00:08:07,080 --> 00:08:09,360 Speaker 1: that takes off of their plate. And that's really the 137 00:08:09,480 --> 00:08:17,000 Speaker 1: role that the platform UM performs is connecting consumers with producers. Yeah. 138 00:08:17,040 --> 00:08:19,280 Speaker 1: And as far as being a gig worker, UM, there 139 00:08:19,320 --> 00:08:22,600 Speaker 1: are a couple of big categories. It's either sort of 140 00:08:22,640 --> 00:08:26,440 Speaker 1: the UM if you don't necessarily have a college degree. 141 00:08:26,640 --> 00:08:28,520 Speaker 1: You might be on the lower income side of a 142 00:08:28,520 --> 00:08:31,200 Speaker 1: gig worker, which could be someone who delivers something to 143 00:08:31,240 --> 00:08:34,480 Speaker 1: your home or one of these services where you can 144 00:08:34,480 --> 00:08:36,360 Speaker 1: call a handyman to come over and do something like 145 00:08:36,480 --> 00:08:39,640 Speaker 1: cut weeds in your front yard, or it can be 146 00:08:39,679 --> 00:08:41,920 Speaker 1: on the very very high side. I got a list 147 00:08:41,960 --> 00:08:47,000 Speaker 1: of the the highest paying gig rates and the very 148 00:08:47,080 --> 00:08:49,880 Speaker 1: top one is uh, something you probably know a little 149 00:08:49,920 --> 00:08:53,240 Speaker 1: about about from your into the world research, but deep 150 00:08:53,320 --> 00:08:59,200 Speaker 1: learning jobs the a fifteen bucks an hour. Wow. Yeah, 151 00:08:59,320 --> 00:09:02,120 Speaker 1: what is that like consulting or something. I think it's 152 00:09:02,160 --> 00:09:06,760 Speaker 1: just any kind of AI specialization where you know, that's 153 00:09:06,800 --> 00:09:10,679 Speaker 1: the kind of rate you can command on an hourly basis. Yeah, 154 00:09:10,760 --> 00:09:13,679 Speaker 1: that's pretty good. Yeah. Blockchain was number two at eighty 155 00:09:13,760 --> 00:09:18,800 Speaker 1: seven bucks an hour, robotics seventy seven dollars an hour. Uh. 156 00:09:18,920 --> 00:09:24,360 Speaker 1: Number four was penetration testing jobs, which what is that? 157 00:09:25,360 --> 00:09:28,600 Speaker 1: Penetration testing jobs? Give me, give me your best guess. 158 00:09:28,600 --> 00:09:31,800 Speaker 1: I want to let's let's play a game like allowing 159 00:09:31,840 --> 00:09:34,800 Speaker 1: yourself to be punctured by stuff. A shot at and 160 00:09:34,840 --> 00:09:37,719 Speaker 1: they like that, that bullet works, that needles sharp. Give 161 00:09:37,760 --> 00:09:40,920 Speaker 1: me give me some money. No, it obviously sounds dirty, 162 00:09:40,960 --> 00:09:45,000 Speaker 1: but it's all it is. It's like security, to see 163 00:09:45,000 --> 00:09:48,440 Speaker 1: if your security can be penetrated. I got to, I 164 00:09:48,480 --> 00:09:50,200 Speaker 1: got to that makes sense that that would be a 165 00:09:50,280 --> 00:09:53,320 Speaker 1: cool gig. You just get hired on to to just 166 00:09:53,440 --> 00:09:57,480 Speaker 1: mess with somebody's cybersecurity. It's fine weaknesses, right, Yeah. But 167 00:09:57,520 --> 00:09:59,000 Speaker 1: then it goes all the way down to number ten, 168 00:09:59,400 --> 00:10:04,840 Speaker 1: which was Instagram marketing at thirty one bucks an hour. Wow. Wow, 169 00:10:04,960 --> 00:10:07,360 Speaker 1: that sounds made up, But wow, it sort of does. 170 00:10:07,400 --> 00:10:09,840 Speaker 1: But this is um, I mean, those are the highest 171 00:10:09,880 --> 00:10:13,480 Speaker 1: paying gigs. There was one film industry job in their 172 00:10:13,559 --> 00:10:17,200 Speaker 1: final cut pro editor thirty seven dollars an hour, So 173 00:10:17,200 --> 00:10:19,960 Speaker 1: those are on the high side. But um, I mean, 174 00:10:19,960 --> 00:10:23,280 Speaker 1: what what are these drivers making it? This is something 175 00:10:23,320 --> 00:10:25,920 Speaker 1: like twelve dollars an hour on average, that's the national 176 00:10:25,960 --> 00:10:30,320 Speaker 1: average after expenses, but before whatever taxes they need to pay. UM, 177 00:10:30,360 --> 00:10:32,320 Speaker 1: and they do need to pay taxes. This is a 178 00:10:32,360 --> 00:10:36,760 Speaker 1: hard lesson that UM. Some some gig workers are finding 179 00:10:36,840 --> 00:10:39,640 Speaker 1: is that like, this isn't like tax free money. Just 180 00:10:39,679 --> 00:10:41,760 Speaker 1: because the money is not so great doesn't mean there's 181 00:10:41,800 --> 00:10:43,880 Speaker 1: it's not tax free. Like you still have to pay 182 00:10:43,920 --> 00:10:46,400 Speaker 1: taxes on this. You still have to file like self 183 00:10:46,440 --> 00:10:50,640 Speaker 1: employment tax in some areas, some cities, some counties, some states. 184 00:10:51,000 --> 00:10:53,319 Speaker 1: You have to have a business license. There's a lot 185 00:10:53,360 --> 00:10:56,640 Speaker 1: of hidden costs that a lot of people don't know about. 186 00:10:56,760 --> 00:10:59,680 Speaker 1: And because as I was saying before, governments from the 187 00:10:59,720 --> 00:11:02,120 Speaker 1: local level up to the federal level have been so 188 00:11:02,200 --> 00:11:06,480 Speaker 1: slow to like pivot. I guess in Silicon Valley corporate 189 00:11:06,520 --> 00:11:11,600 Speaker 1: speak to this new reality of um of tech platform 190 00:11:11,720 --> 00:11:16,000 Speaker 1: apps that that the gig economy functions on um. There's 191 00:11:16,000 --> 00:11:17,800 Speaker 1: a lot of people out there who who just are 192 00:11:17,960 --> 00:11:20,920 Speaker 1: un licensed, who aren't paying taxes, and who hopefully will 193 00:11:20,920 --> 00:11:22,960 Speaker 1: never find out the hard way that they did, but 194 00:11:23,040 --> 00:11:25,320 Speaker 1: maybe find out the easy way like through us and 195 00:11:25,360 --> 00:11:28,720 Speaker 1: then start and don't have to pay anything for back 196 00:11:30,240 --> 00:11:34,920 Speaker 1: there are you know there's certain municipal municipalities and is 197 00:11:34,960 --> 00:11:38,920 Speaker 1: that right? Municipalities? Man, you nail municipalities. The only way 198 00:11:38,920 --> 00:11:40,520 Speaker 1: it could have been very chuck is if you've done 199 00:11:40,520 --> 00:11:46,880 Speaker 1: it with a horribly stereotypical Italian accent. Do it? Do it? No? No, no, 200 00:11:46,880 --> 00:11:48,920 Speaker 1: no no. Did you see that guy right in and 201 00:11:48,960 --> 00:11:52,439 Speaker 1: said I sound like a cartoon chef on TV? And 202 00:11:52,480 --> 00:11:54,920 Speaker 1: I was like, oh, well that's right. Yeah. I was like, 203 00:11:55,040 --> 00:11:56,560 Speaker 1: you didn't think I was trying to pull off a 204 00:11:56,600 --> 00:11:59,760 Speaker 1: real accident, right, Like that's what I'm going for. I 205 00:11:59,800 --> 00:12:01,760 Speaker 1: want of you to know what it sounded like to 206 00:12:01,840 --> 00:12:05,200 Speaker 1: hear chef boyer, do you know? Basically? So? Um. A 207 00:12:05,240 --> 00:12:09,040 Speaker 1: lot of counties now are getting involved though, because um, 208 00:12:09,080 --> 00:12:12,000 Speaker 1: well they say they want to help them transition into 209 00:12:12,000 --> 00:12:14,319 Speaker 1: the gig economy and learn to put away money to 210 00:12:14,360 --> 00:12:16,920 Speaker 1: pay taxes and stuff. What they're really probably doing is 211 00:12:17,320 --> 00:12:19,840 Speaker 1: making sure that they pay their taxes right. And and 212 00:12:19,880 --> 00:12:22,200 Speaker 1: it's not just counties that are getting into its. States 213 00:12:22,240 --> 00:12:24,800 Speaker 1: are the federal government's kind of but it's it looks 214 00:12:24,800 --> 00:12:27,240 Speaker 1: like it's starting to become a patchwork of state regulations. 215 00:12:27,400 --> 00:12:30,319 Speaker 1: And we'll talk about that UM in a minute. But first, Chuck, 216 00:12:30,559 --> 00:12:54,320 Speaker 1: why don't we take a break, let's do it. Uh So, UM, 217 00:12:54,360 --> 00:12:59,120 Speaker 1: we were saying that that there are the governments are 218 00:12:59,200 --> 00:13:04,079 Speaker 1: starting to it into this finally years on. Basically, I mean, 219 00:13:04,679 --> 00:13:08,200 Speaker 1: the gig economy itself is many many years old by now, 220 00:13:08,679 --> 00:13:12,000 Speaker 1: and they're just now starting to pass legislation. UM. But 221 00:13:12,120 --> 00:13:14,480 Speaker 1: not all of it is, you know, like on the 222 00:13:14,520 --> 00:13:18,320 Speaker 1: county level putting up educational posters saying, hey, you're a 223 00:13:18,320 --> 00:13:20,560 Speaker 1: small business, you need a license to do you know, 224 00:13:20,640 --> 00:13:24,120 Speaker 1: to drive for uber or whatever here. Um. It's not 225 00:13:24,200 --> 00:13:30,040 Speaker 1: just that. There's also a real, um frequently overlooked component 226 00:13:30,320 --> 00:13:35,320 Speaker 1: of the tech platforms that connect consumers and producers UM, 227 00:13:35,400 --> 00:13:39,960 Speaker 1: and that is that their profit margins are based largely 228 00:13:40,080 --> 00:13:44,040 Speaker 1: on getting around labor laws that have been established throughout 229 00:13:44,080 --> 00:13:48,400 Speaker 1: the twentieth century UM and that are just outdated. The 230 00:13:48,400 --> 00:13:53,679 Speaker 1: the the UM tech platforms, the apps that that connect people. Um, 231 00:13:53,760 --> 00:13:56,160 Speaker 1: we're built up around those laws, and they skirt the 232 00:13:56,240 --> 00:13:59,800 Speaker 1: law very plainly. I mean there have been court ruling 233 00:14:00,080 --> 00:14:03,120 Speaker 1: in UM, federal agency rulings to say, yeah, they're right, 234 00:14:03,200 --> 00:14:06,440 Speaker 1: Like these aren't employees, these are independent contractors. And so 235 00:14:06,480 --> 00:14:09,080 Speaker 1: they don't they don't get over time, they don't get 236 00:14:09,160 --> 00:14:12,280 Speaker 1: unpaid vade or they don't get paid vacation time. UM, 237 00:14:12,320 --> 00:14:15,400 Speaker 1: there's all this stuff. Health insurance is a big one. 238 00:14:16,160 --> 00:14:20,840 Speaker 1: So that's a huge chunk of revenue or of um 239 00:14:21,080 --> 00:14:24,120 Speaker 1: outlay that the companies who who like Uber or test 240 00:14:24,160 --> 00:14:26,800 Speaker 1: Grabit or whoever don't have to shell out. That means 241 00:14:26,840 --> 00:14:30,000 Speaker 1: that's profits more profits for them, and it's also something 242 00:14:30,040 --> 00:14:34,040 Speaker 1: that their competitors, like cab companies, say have to pay. 243 00:14:34,160 --> 00:14:36,520 Speaker 1: So it's a one way that the cab companies lose 244 00:14:36,560 --> 00:14:40,600 Speaker 1: against the ride hailing apps. But the people who are 245 00:14:40,640 --> 00:14:43,800 Speaker 1: out there still need health insurance, they still need healthcare, 246 00:14:44,120 --> 00:14:48,160 Speaker 1: they still need food, and so the the the companies 247 00:14:48,200 --> 00:14:52,240 Speaker 1: that make these platforms tend to kind of offload the 248 00:14:52,320 --> 00:14:56,480 Speaker 1: responsibility that used to be on the company's part onto 249 00:14:56,520 --> 00:14:59,000 Speaker 1: local governments. And so what local governments are trying to 250 00:14:59,000 --> 00:15:01,560 Speaker 1: figure out to say, like, well, with this influx of 251 00:15:01,840 --> 00:15:06,080 Speaker 1: gig economy workers saying like I need Medicare or I 252 00:15:06,160 --> 00:15:08,720 Speaker 1: need food stamps or something like that. How can we 253 00:15:08,760 --> 00:15:10,880 Speaker 1: deal with this? And there's been some a couple of 254 00:15:10,880 --> 00:15:15,000 Speaker 1: interesting proposals at least for how to get um the 255 00:15:15,040 --> 00:15:19,600 Speaker 1: companies to pay for benefits that companies traditionally have paid 256 00:15:19,640 --> 00:15:22,720 Speaker 1: for but in this new gig economy. Yeah, I thought 257 00:15:23,000 --> 00:15:27,760 Speaker 1: this one was really interesting. Portable benefits. So you know, 258 00:15:27,800 --> 00:15:30,880 Speaker 1: if you've ever changed jobs, or if you change jobs 259 00:15:30,880 --> 00:15:33,880 Speaker 1: a lot, like on a full time basis, you know 260 00:15:33,960 --> 00:15:36,400 Speaker 1: that it can be big pain to your benefits are 261 00:15:36,440 --> 00:15:39,680 Speaker 1: always changing. Sometimes they're better, sometimes they're worse, but they're 262 00:15:39,720 --> 00:15:42,960 Speaker 1: bound to be different, and that's just a hassle. The 263 00:15:43,000 --> 00:15:47,280 Speaker 1: idea of portable benefits basically that you own as an employee. 264 00:15:48,000 --> 00:15:51,120 Speaker 1: So when you go to a new job as a 265 00:15:51,120 --> 00:15:54,480 Speaker 1: gig worker, you take your employee your benefits with you 266 00:15:55,160 --> 00:15:58,400 Speaker 1: and basically just plug it into their system and say, well, 267 00:15:58,520 --> 00:16:02,760 Speaker 1: you are now going to contribute your your employer portion 268 00:16:02,920 --> 00:16:06,120 Speaker 1: to my portable benefits. Yeah. It's kind of like the 269 00:16:06,120 --> 00:16:08,600 Speaker 1: difference between a four oh one K and an IRA, right, 270 00:16:08,680 --> 00:16:11,400 Speaker 1: The IRA is yours no matter where you go. The 271 00:16:11,440 --> 00:16:14,280 Speaker 1: four one k is between you and your employer. Imagine 272 00:16:14,280 --> 00:16:17,359 Speaker 1: if all you ever had was an IRA, but your 273 00:16:17,400 --> 00:16:20,240 Speaker 1: employer paid into that, but it was for health benefits 274 00:16:20,360 --> 00:16:23,520 Speaker 1: rather than retirement, so it was always yours. But just 275 00:16:23,600 --> 00:16:26,400 Speaker 1: depending on who you worked for, part of what you 276 00:16:26,480 --> 00:16:30,040 Speaker 1: got paid was an additional premium that was a contribution 277 00:16:30,160 --> 00:16:33,520 Speaker 1: to your benefits, whether it's a retirement package or dental 278 00:16:33,720 --> 00:16:36,680 Speaker 1: or vision or health or whatever. And and it was 279 00:16:36,720 --> 00:16:38,920 Speaker 1: always you. It was associated with you the worker, but 280 00:16:39,320 --> 00:16:43,600 Speaker 1: everybody from each task paid into that. It's a great 281 00:16:43,640 --> 00:16:46,760 Speaker 1: idea and apparently it works too. Yeah, and I'm not 282 00:16:46,880 --> 00:16:50,200 Speaker 1: super sure this. The other idea ideas, uh, that of 283 00:16:50,240 --> 00:16:54,760 Speaker 1: a dependent contractor rather than an independent contractor. And that's 284 00:16:54,760 --> 00:16:58,520 Speaker 1: basically if you receive the majority of your income from 285 00:16:58,600 --> 00:17:01,760 Speaker 1: one company, um, then they need to do things like 286 00:17:01,840 --> 00:17:04,879 Speaker 1: pay your health or you know, contribute towards your health insurance. 287 00:17:05,720 --> 00:17:07,560 Speaker 1: What I don't get is what what's the difference between 288 00:17:07,560 --> 00:17:09,840 Speaker 1: that and being a full time employee. There's nothing. It's 289 00:17:09,880 --> 00:17:12,680 Speaker 1: basically just calling Uber out on its bs and saying 290 00:17:12,720 --> 00:17:16,280 Speaker 1: these are your employees, dude, without having to say, hey, 291 00:17:16,320 --> 00:17:19,640 Speaker 1: federal government, you guys need to revise the independent contractor 292 00:17:19,720 --> 00:17:22,520 Speaker 1: laws because this is different. These are states or local 293 00:17:22,560 --> 00:17:25,280 Speaker 1: governments saying you want to do business here. These people 294 00:17:25,320 --> 00:17:28,919 Speaker 1: are dependent contractors and you have to provide them with benefits. Sorry, 295 00:17:29,040 --> 00:17:30,840 Speaker 1: that's just the way it goes. And if you get 296 00:17:30,880 --> 00:17:34,760 Speaker 1: a big enough county or city or state and the 297 00:17:34,760 --> 00:17:38,600 Speaker 1: the app or the platform wants to do business there, 298 00:17:39,040 --> 00:17:41,040 Speaker 1: they will do this. And it stinks, and you have 299 00:17:41,119 --> 00:17:43,800 Speaker 1: to have different people who are experts in the different 300 00:17:43,840 --> 00:17:48,119 Speaker 1: states you're doing business in. But eventually, if enough different 301 00:17:48,160 --> 00:17:50,679 Speaker 1: states have slightly different laws that are all to the 302 00:17:50,720 --> 00:17:53,159 Speaker 1: same effect, companies like Uber are going to go to 303 00:17:53,160 --> 00:17:55,200 Speaker 1: the federal government be like, can you please pass a 304 00:17:55,320 --> 00:17:57,520 Speaker 1: law that says that we have to provide benefits for 305 00:17:57,560 --> 00:18:00,160 Speaker 1: these people? And maybe they're not the greatest benefit. It's 306 00:18:00,160 --> 00:18:01,679 Speaker 1: we don't want to give away the farm. But it 307 00:18:01,720 --> 00:18:04,840 Speaker 1: will be more cost effective for us to just have 308 00:18:05,040 --> 00:18:08,600 Speaker 1: one standard to adhere to nationwide than it will be 309 00:18:08,720 --> 00:18:11,399 Speaker 1: to have fifty different laws that we have to adhere 310 00:18:11,440 --> 00:18:15,439 Speaker 1: to nationwide. And how do they do that through lobbyists 311 00:18:15,480 --> 00:18:18,200 Speaker 1: paying tons of money? It's true, but in this case 312 00:18:18,240 --> 00:18:20,879 Speaker 1: it would benefit people, But it's it's a it's a 313 00:18:20,960 --> 00:18:24,760 Speaker 1: ground up push from the local and state government's basically 314 00:18:24,760 --> 00:18:28,440 Speaker 1: agitating for the federal government to take action. Yeah, I mean, 315 00:18:29,040 --> 00:18:33,920 Speaker 1: Uber certainly had a share of missteps along the way. Um, 316 00:18:34,000 --> 00:18:37,000 Speaker 1: and even if you cast those aside and not to 317 00:18:37,040 --> 00:18:41,480 Speaker 1: pick on them, let's just talk about any app based um, 318 00:18:41,800 --> 00:18:45,920 Speaker 1: gig economy or gig job or whatever. I guess gig 319 00:18:45,960 --> 00:18:48,000 Speaker 1: is all you need to say. Really, it's a mouthful, 320 00:18:48,040 --> 00:18:51,480 Speaker 1: and um, you can you can't help, but just picture 321 00:18:52,720 --> 00:18:58,280 Speaker 1: a back room boardroom in Silicon Valley with these dudes 322 00:18:58,440 --> 00:19:01,879 Speaker 1: just saying, like, you know, here's what we'll do. We'll 323 00:19:02,080 --> 00:19:04,560 Speaker 1: develop this app that connects people and we take a 324 00:19:04,600 --> 00:19:08,800 Speaker 1: cut and we're gonna have tens of thousands of drivers 325 00:19:08,880 --> 00:19:11,600 Speaker 1: all over the country working for us. And then the 326 00:19:11,600 --> 00:19:13,920 Speaker 1: other person goes, yeah, but man, that you know how 327 00:19:13,920 --> 00:19:16,280 Speaker 1: expensive that is with payroll and this and that and 328 00:19:16,280 --> 00:19:18,760 Speaker 1: and insurance everything. Oh no, no, no, the best part 329 00:19:18,840 --> 00:19:23,160 Speaker 1: is they're not employees, right, Like that was the very 330 00:19:23,200 --> 00:19:26,360 Speaker 1: first in the very first meeting. That was the big like, 331 00:19:27,040 --> 00:19:30,240 Speaker 1: oh I get it, And they all laughed. Oh, I'm 332 00:19:30,240 --> 00:19:33,800 Speaker 1: sure the room went breathless. Yeah, like that's it was 333 00:19:33,960 --> 00:19:36,679 Speaker 1: literally world changing. I mean, like that's the state of 334 00:19:36,720 --> 00:19:39,120 Speaker 1: affairs now. And yeah, it had to start somewhere. I'm 335 00:19:39,119 --> 00:19:41,399 Speaker 1: not sure where it started, but it started somewhere. But 336 00:19:41,480 --> 00:19:43,560 Speaker 1: like you said earlier, that is the I mean, and 337 00:19:43,560 --> 00:19:45,920 Speaker 1: they've proven it with with financials. We're not just saying 338 00:19:45,920 --> 00:19:49,520 Speaker 1: the stuff they that is the reason they are profitable 339 00:19:49,680 --> 00:19:53,560 Speaker 1: is because they're not having to pay this dough and unfortunately, 340 00:19:53,720 --> 00:19:57,600 Speaker 1: it's also the reason why people who rely on gig 341 00:19:57,640 --> 00:20:00,480 Speaker 1: work full time to make ends meet, and who are 342 00:20:00,520 --> 00:20:03,800 Speaker 1: not who don't have any kind of uh higher education 343 00:20:04,160 --> 00:20:09,120 Speaker 1: and are not skilled workers. That's why they are increasingly 344 00:20:09,200 --> 00:20:13,240 Speaker 1: turning to um taxpayer funded public assistance for things like 345 00:20:13,280 --> 00:20:17,480 Speaker 1: healthcare and food and basically making the ends meet. Because 346 00:20:17,800 --> 00:20:19,960 Speaker 1: from like I said, the few studies that there are 347 00:20:19,960 --> 00:20:23,280 Speaker 1: out there, what they're finding is that there's a segment 348 00:20:23,320 --> 00:20:25,840 Speaker 1: of people who work in the gig economy who are 349 00:20:25,960 --> 00:20:30,560 Speaker 1: who cannot make ends meet with gig work. And it's 350 00:20:30,600 --> 00:20:34,080 Speaker 1: not just to pick on the platforms and the apps 351 00:20:34,119 --> 00:20:37,080 Speaker 1: that make up the backbone of the gig economy, because 352 00:20:37,119 --> 00:20:38,800 Speaker 1: it says a lot that if there are people in 353 00:20:38,840 --> 00:20:40,800 Speaker 1: the vast majority of people who do gig work I 354 00:20:40,800 --> 00:20:43,600 Speaker 1: think you said earlier, they don't work full time. They 355 00:20:43,640 --> 00:20:46,520 Speaker 1: do it to supplement income, but they're not supplementing income. 356 00:20:46,560 --> 00:20:50,200 Speaker 1: I saw somewhere, um somebody said they're not supplementing income 357 00:20:50,280 --> 00:20:52,520 Speaker 1: to to save up to go to Hawaii. They're doing 358 00:20:52,560 --> 00:20:55,600 Speaker 1: it to buy medicine and food and pay utility bills. 359 00:20:55,840 --> 00:20:57,639 Speaker 1: So that actually says a lot about the state of 360 00:20:57,680 --> 00:21:01,560 Speaker 1: work in general, not just gig work. Because if you 361 00:21:01,600 --> 00:21:04,440 Speaker 1: have a regular job, whether it's part time or full time, 362 00:21:04,640 --> 00:21:07,080 Speaker 1: and you have to have a side hustle, which by 363 00:21:07,119 --> 00:21:09,520 Speaker 1: the way, is a term that's been around since nineteen fifty, 364 00:21:09,600 --> 00:21:13,840 Speaker 1: I saw, Yeah, you there's there's a problem with work 365 00:21:14,000 --> 00:21:16,480 Speaker 1: in general, you know what I'm saying, where you cannot 366 00:21:16,560 --> 00:21:19,000 Speaker 1: make ends meet just with your regular full time job 367 00:21:19,119 --> 00:21:20,919 Speaker 1: or even a couple of part time jobs, so you 368 00:21:20,920 --> 00:21:23,320 Speaker 1: have to do gig work too. But the people who 369 00:21:23,560 --> 00:21:25,919 Speaker 1: just do gig work, those are the people who are 370 00:21:25,960 --> 00:21:28,520 Speaker 1: the most vulnerable, and they usually if you're a driver, 371 00:21:29,119 --> 00:21:32,920 Speaker 1: you make about eleven ninety that's the national average. Yeah, 372 00:21:33,000 --> 00:21:35,680 Speaker 1: here's some stats for you. The Federal Reserve did a 373 00:21:35,760 --> 00:21:40,720 Speaker 1: report and from two thousand eighteen, fifty eight percent of 374 00:21:40,800 --> 00:21:43,960 Speaker 1: full time gig workers UH said they would have a 375 00:21:43,960 --> 00:21:47,640 Speaker 1: hard time coming up with a four hundred dollar emergency bill, 376 00:21:48,040 --> 00:21:49,560 Speaker 1: like if they had to go to hospital and pay 377 00:21:49,600 --> 00:21:53,720 Speaker 1: four hundred bucks. They couldn't cover that, nearly sixty of them. Yeah, 378 00:21:53,760 --> 00:21:56,280 Speaker 1: and that's compared to thirty eight percent of people and 379 00:21:56,440 --> 00:22:00,280 Speaker 1: just the regular economy, not the gig economy. Uh. And 380 00:22:00,320 --> 00:22:05,760 Speaker 1: they did surveys that said five percent of people said 381 00:22:05,760 --> 00:22:08,640 Speaker 1: that gig working. This out of eleven thousand people who 382 00:22:08,640 --> 00:22:10,680 Speaker 1: did gig work at all, five percent of them said 383 00:22:10,720 --> 00:22:14,040 Speaker 1: it was their main source of income, which is a 384 00:22:14,040 --> 00:22:17,119 Speaker 1: pretty small amount, but that's that's growing. I think between 385 00:22:17,640 --> 00:22:20,760 Speaker 1: two thousand sixteen and two thousand twenty one, they're projecting 386 00:22:20,760 --> 00:22:23,840 Speaker 1: it to grow from like three point two million people 387 00:22:23,920 --> 00:22:27,520 Speaker 1: too close to ten million people like working gig economy jobs. 388 00:22:27,800 --> 00:22:31,479 Speaker 1: I saw somewhere sixty million. Fast Company predicted something like 389 00:22:31,600 --> 00:22:34,080 Speaker 1: sixty million Americans are going to be working in the 390 00:22:34,119 --> 00:22:38,639 Speaker 1: gig economy um by, which was far and away the 391 00:22:38,800 --> 00:22:42,000 Speaker 1: highest number I saw. Yeah, man, that's crazy, But yeah, 392 00:22:42,080 --> 00:22:44,200 Speaker 1: I got another stat for you I saw. I think 393 00:22:44,200 --> 00:22:49,160 Speaker 1: in barrens I believe it's barrens um the gig economy. 394 00:22:49,320 --> 00:22:54,439 Speaker 1: Gig work accounted for ninety four percent of net employment 395 00:22:54,480 --> 00:22:57,399 Speaker 1: growth between two thousand five and two thousand fifteen, So 396 00:22:57,440 --> 00:22:59,280 Speaker 1: that means that all the new jobs that came in 397 00:22:59,400 --> 00:23:04,320 Speaker 1: and all the old jobs that went away. Of the 398 00:23:04,440 --> 00:23:08,040 Speaker 1: jobs that that accounted for the growth of work in 399 00:23:08,080 --> 00:23:15,159 Speaker 1: America were gig work. That's astounding. Yeah, I mean I 400 00:23:15,200 --> 00:23:18,399 Speaker 1: feel like every time I go to publics, of the 401 00:23:18,400 --> 00:23:22,200 Speaker 1: people in there are shopping for other people. Yeah. Yeah, 402 00:23:22,240 --> 00:23:24,400 Speaker 1: for sure, you can tell by their T shirts. Yeah, 403 00:23:24,400 --> 00:23:27,600 Speaker 1: they wear the shirts. And uh, Emily has done that 404 00:23:27,640 --> 00:23:29,359 Speaker 1: a couple of times, you know, a bit too busy 405 00:23:29,400 --> 00:23:32,520 Speaker 1: working parents. She's, um, I can't remember the service that 406 00:23:32,560 --> 00:23:35,800 Speaker 1: we use, but uh, I don't like it because I 407 00:23:35,920 --> 00:23:38,440 Speaker 1: like to chop for my own stuff. I don't want 408 00:23:38,440 --> 00:23:40,840 Speaker 1: people picking out my food. Yeah, when they bring the 409 00:23:40,840 --> 00:23:42,520 Speaker 1: bag you hold up an orange, You're like, did you 410 00:23:42,560 --> 00:23:44,679 Speaker 1: touch this? It's not even that, it's just you know, 411 00:23:44,760 --> 00:23:47,720 Speaker 1: you want to pick out your own stuff. Yeah, I'm 412 00:23:47,760 --> 00:23:51,520 Speaker 1: just season. I like running errands myself too. Um, and 413 00:23:51,560 --> 00:23:53,879 Speaker 1: it's it feels like it's never right too. They'll be like, oh, 414 00:23:53,960 --> 00:23:55,800 Speaker 1: well I couldn't find the thing, so I got this. 415 00:23:57,640 --> 00:24:00,320 Speaker 1: That's not what I asked for. I saw m quest 416 00:24:00,400 --> 00:24:05,040 Speaker 1: love like hadn't had peanut butter, Captain Crunch and like forever, 417 00:24:05,640 --> 00:24:08,320 Speaker 1: and he posted something I think on Instagram where he 418 00:24:08,560 --> 00:24:11,320 Speaker 1: ordered um some from like task grab it or something, 419 00:24:11,760 --> 00:24:14,080 Speaker 1: and the guy brought him a regular Captain crunch and 420 00:24:14,119 --> 00:24:18,760 Speaker 1: a jar of peanut butter. He threw it down the 421 00:24:18,760 --> 00:24:21,000 Speaker 1: hall of his hotel, which I thought was a little much, 422 00:24:21,040 --> 00:24:23,320 Speaker 1: but it was a pretty good ending to the slade. 423 00:24:23,520 --> 00:24:27,040 Speaker 1: It might be pretty good though, um I I did. Uh. 424 00:24:27,080 --> 00:24:30,919 Speaker 1: I had a very something, very heavy to move in 425 00:24:31,040 --> 00:24:33,440 Speaker 1: my home recently that was just sitting there because I 426 00:24:33,480 --> 00:24:35,880 Speaker 1: couldn't get a friend over and I had never heard 427 00:24:35,880 --> 00:24:38,200 Speaker 1: of task grab it and someone said you should try 428 00:24:38,200 --> 00:24:39,760 Speaker 1: task grab it and I did look up and I 429 00:24:39,800 --> 00:24:42,760 Speaker 1: was like, you could you get a young strong man 430 00:24:42,880 --> 00:24:45,560 Speaker 1: to come over and lift something heavy for you and 431 00:24:45,680 --> 00:24:48,159 Speaker 1: like an hour's notice? And I was like, man, I 432 00:24:48,520 --> 00:24:50,800 Speaker 1: feel like I should probably just get this done. And 433 00:24:50,840 --> 00:24:53,639 Speaker 1: I got distracted and didn't do it, and uh was 434 00:24:53,680 --> 00:24:56,199 Speaker 1: able to get friends over. But I didn't even know 435 00:24:56,280 --> 00:24:58,680 Speaker 1: it existed and that you could get that kind of work. 436 00:24:59,840 --> 00:25:02,719 Speaker 1: I yeah, I think task grabby you can do about anything. 437 00:25:02,960 --> 00:25:05,480 Speaker 1: And there's there's something in the UK. There's a site 438 00:25:05,520 --> 00:25:08,000 Speaker 1: called five er if I v R. I think I've 439 00:25:08,000 --> 00:25:10,600 Speaker 1: heard of that. I think and like every like all 440 00:25:10,680 --> 00:25:13,199 Speaker 1: tasks on it are for five bucks or like, whatever 441 00:25:13,280 --> 00:25:15,119 Speaker 1: you want the person to do, they'll either do it 442 00:25:15,200 --> 00:25:16,840 Speaker 1: or won't do it, but the price you pay is 443 00:25:16,920 --> 00:25:22,280 Speaker 1: five bucks. So it's like small, quick, easy tasks. What's 444 00:25:22,359 --> 00:25:27,440 Speaker 1: worth five dollars? Um, Like go get my mail, see 445 00:25:27,440 --> 00:25:29,480 Speaker 1: if see if this needle is sharp. I want to 446 00:25:29,480 --> 00:25:33,680 Speaker 1: do a puncture test on you. Back to that one again. Huh. 447 00:25:33,720 --> 00:25:36,679 Speaker 1: I guess we should mention the strike that happened earlier 448 00:25:36,720 --> 00:25:41,720 Speaker 1: this month. Uh, we're recording this in May two th nineteen. Um, 449 00:25:41,840 --> 00:25:44,920 Speaker 1: just very recently, there was there were thousands of Uber 450 00:25:44,960 --> 00:25:47,800 Speaker 1: and Lyft drivers who went on strike. Um, not just 451 00:25:47,840 --> 00:25:49,840 Speaker 1: in May, but kind of all year long. This has 452 00:25:49,880 --> 00:25:55,760 Speaker 1: sort of been brewing, I think, and uh it's it um. 453 00:25:56,000 --> 00:26:00,520 Speaker 1: Uber stock prices down for one dude by two. They 454 00:26:00,600 --> 00:26:04,640 Speaker 1: started out with a hundred and twenty billion dollar valuation 455 00:26:04,760 --> 00:26:06,600 Speaker 1: and ended up at the end of the day I 456 00:26:06,600 --> 00:26:09,879 Speaker 1: think at forty billion. Yeah, And that's where this whole 457 00:26:09,880 --> 00:26:14,399 Speaker 1: idea of like is it exploitation um, like, because I 458 00:26:14,440 --> 00:26:16,240 Speaker 1: mean the courts have roundly kind of said, like, no, 459 00:26:16,400 --> 00:26:20,000 Speaker 1: you can't unionize, you're not employees, right, and these are 460 00:26:20,080 --> 00:26:22,520 Speaker 1: in some of the most liberal courts in the land, right, 461 00:26:22,600 --> 00:26:25,840 Speaker 1: you're independent contractors, so you don't get over time, you 462 00:26:25,880 --> 00:26:28,399 Speaker 1: can't you can't unionize. There's all sorts of stuff that 463 00:26:28,440 --> 00:26:31,800 Speaker 1: you just can't do because you're an independent contractor UM, 464 00:26:31,880 --> 00:26:35,760 Speaker 1: and that's that's slowly starting to change. Yeah, But the 465 00:26:36,040 --> 00:26:38,800 Speaker 1: whole idea of this strike was is there're basically saying 466 00:26:39,240 --> 00:26:44,640 Speaker 1: you have intentionally misclassified us as non employees. And I'm 467 00:26:44,680 --> 00:26:49,520 Speaker 1: sure they're like, yeah, that that's exactly right right there, 468 00:26:49,560 --> 00:26:51,960 Speaker 1: Like was that I think that's like in our terms 469 00:26:51,960 --> 00:26:55,040 Speaker 1: of use that we intentionally missclassify you. Well, they probably 470 00:26:55,040 --> 00:26:57,800 Speaker 1: say we have intentionally classified you as what you are, 471 00:26:58,440 --> 00:27:01,520 Speaker 1: which is a non employee. But the drivers are saying 472 00:27:01,520 --> 00:27:05,719 Speaker 1: they're misclassified obviously, right, So there's a big lawsuit. UM. 473 00:27:05,760 --> 00:27:09,639 Speaker 1: A few hundred thousand Uber drivers sued Uber and they 474 00:27:09,760 --> 00:27:13,600 Speaker 1: very recently settled, I think in March, with like thirteen thousand, 475 00:27:13,640 --> 00:27:16,680 Speaker 1: six hundred of them, and they were given twenty million 476 00:27:16,720 --> 00:27:18,520 Speaker 1: dollars to split between them, which sounds like a lot, 477 00:27:18,520 --> 00:27:22,400 Speaker 1: but it's actually like less than a driver for basically 478 00:27:22,440 --> 00:27:26,160 Speaker 1: saying we we have been under paying you. The other 479 00:27:26,280 --> 00:27:30,679 Speaker 1: like three hundred something thousand drivers didn't get squat because 480 00:27:30,680 --> 00:27:35,760 Speaker 1: they all signed a UM an arbitration clause in their agreement, 481 00:27:36,320 --> 00:27:39,200 Speaker 1: which you should never sign if you have any saying 482 00:27:39,240 --> 00:27:42,639 Speaker 1: it whatsoever, because it basically says I can't sue and 483 00:27:42,840 --> 00:27:45,200 Speaker 1: any time I have a problem with you, we will 484 00:27:45,240 --> 00:27:49,560 Speaker 1: go to a mediator who you pay to decide whether 485 00:27:49,680 --> 00:27:52,960 Speaker 1: my claim has any value or not. So it's a terrible, 486 00:27:53,280 --> 00:27:57,400 Speaker 1: terrible thing to sign. But on top of that, if 487 00:27:57,480 --> 00:28:01,320 Speaker 1: you are a full time gig economy worker, you basically 488 00:28:01,359 --> 00:28:03,840 Speaker 1: don't have a choice, and the company you're working with 489 00:28:04,240 --> 00:28:07,479 Speaker 1: as an independent contractor knows that. So there's almost certainly 490 00:28:07,480 --> 00:28:09,720 Speaker 1: going to be an arbitration clause. But that's a really 491 00:28:09,720 --> 00:28:12,160 Speaker 1: good example of what happens when you signed an arbitration clause. 492 00:28:12,400 --> 00:28:14,840 Speaker 1: You lose out on the settlement because you said that 493 00:28:14,920 --> 00:28:18,480 Speaker 1: you are waiving your right to a trial right And 494 00:28:18,560 --> 00:28:21,600 Speaker 1: aside from stuff like health insurance, the drivers are angry 495 00:28:21,640 --> 00:28:25,120 Speaker 1: because Uber and major cities has been cutting driver pay 496 00:28:25,200 --> 00:28:28,880 Speaker 1: rates because they're trying to get their bottom line down 497 00:28:28,960 --> 00:28:31,160 Speaker 1: and say, hey, look, everyone, look at our bottom line. 498 00:28:31,440 --> 00:28:34,800 Speaker 1: How attractive is this? So, like I was saying, this 499 00:28:34,880 --> 00:28:38,239 Speaker 1: is slowly starting to change thanks to regulation, and um, 500 00:28:38,280 --> 00:28:59,760 Speaker 1: we'll talk a little more about that after this break 501 00:29:02,280 --> 00:29:05,800 Speaker 1: so Chuck Um New York really kind of changed things 502 00:29:05,840 --> 00:29:08,760 Speaker 1: recently that that one study or a study, I don't 503 00:29:08,760 --> 00:29:10,720 Speaker 1: know if we talked about it yet. The study with 504 00:29:10,800 --> 00:29:14,840 Speaker 1: eleven thousand people was conducted by the FED. There's another 505 00:29:14,880 --> 00:29:17,840 Speaker 1: study conducted by I think you see Berkeley in the 506 00:29:17,880 --> 00:29:22,600 Speaker 1: New School, and they basically found, like most I think 507 00:29:24,280 --> 00:29:29,160 Speaker 1: of drivers driving for ride hailing apps in New York City, 508 00:29:29,200 --> 00:29:32,080 Speaker 1: not just Uber, but all of them, um, especially the 509 00:29:32,080 --> 00:29:38,000 Speaker 1: Big four via Juno Lift in Uber, UM, fifty percent 510 00:29:38,040 --> 00:29:41,680 Speaker 1: of them work full time, so they're basically independent cab 511 00:29:41,760 --> 00:29:47,440 Speaker 1: drivers who are not licensed cabbies. UM fifty I believe 512 00:29:47,520 --> 00:29:52,000 Speaker 1: have families that they're supporting with that they're working for. 513 00:29:52,080 --> 00:29:57,680 Speaker 1: About eleven and of them qualified for Medicaid and eighteen 514 00:29:57,720 --> 00:30:02,160 Speaker 1: percent qualified for foods amps. Yeah, and this was shocking 515 00:30:02,320 --> 00:30:05,000 Speaker 1: enough to the city government of New York that they 516 00:30:05,040 --> 00:30:08,360 Speaker 1: passed the country's first and maybe the world's first as 517 00:30:08,400 --> 00:30:12,720 Speaker 1: far as I know, minimum wage law for ride hailing 518 00:30:12,800 --> 00:30:16,920 Speaker 1: app independent contractors. And it's actually more than the minimum 519 00:30:16,920 --> 00:30:20,960 Speaker 1: wage for New York in general. Yeah. I mean, basically, 520 00:30:21,000 --> 00:30:23,200 Speaker 1: the New York came out and said, first of all, Ubert, 521 00:30:23,520 --> 00:30:27,400 Speaker 1: they could fix this if they just had a very 522 00:30:27,440 --> 00:30:31,680 Speaker 1: small fair adjustment that passengers would probably not care about. 523 00:30:32,200 --> 00:30:35,040 Speaker 1: Then they could pay them fairly and increase driver pay. 524 00:30:35,880 --> 00:30:38,040 Speaker 1: But since they're not gonna do that, we're gonna step in. 525 00:30:38,680 --> 00:30:42,320 Speaker 1: And I believe it was was that this past January, uh, 526 00:30:42,360 --> 00:30:45,960 Speaker 1: they were required to start paying drivers um after expenses 527 00:30:46,000 --> 00:30:49,440 Speaker 1: about seventeen dollars and twenty two cents an hour, which 528 00:30:49,480 --> 00:30:53,920 Speaker 1: is about five dollars more per hour than the previous 529 00:30:53,960 --> 00:30:57,520 Speaker 1: almost twelve dollars per hour average. Right, So that's a 530 00:30:57,520 --> 00:30:59,600 Speaker 1: big deal. And I mean that's that's that was a 531 00:30:59,680 --> 00:31:03,760 Speaker 1: huge um win for the independent contractors who work for 532 00:31:03,920 --> 00:31:05,960 Speaker 1: ride hailing apps, at least in New York. But also 533 00:31:06,000 --> 00:31:09,680 Speaker 1: it's set a precedent across the country basically saying like, yes, 534 00:31:09,760 --> 00:31:12,680 Speaker 1: if you are big enough town, you have the clout 535 00:31:12,760 --> 00:31:16,400 Speaker 1: to to look out for these these workers who are 536 00:31:16,960 --> 00:31:20,160 Speaker 1: being exploited by the tech platforms that they're partnering with 537 00:31:20,200 --> 00:31:24,880 Speaker 1: as independent contractors. Yeah. And actually today, as as we 538 00:31:24,960 --> 00:31:29,320 Speaker 1: record this, the State Assembly in California past legislation that 539 00:31:29,480 --> 00:31:35,080 Speaker 1: required employers to recognize gig workers as employees UM with 540 00:31:35,200 --> 00:31:37,920 Speaker 1: sort of what they call the dynamics. It's a uh, 541 00:31:38,040 --> 00:31:43,000 Speaker 1: the California State Supreme Court said in May uh um 542 00:31:43,000 --> 00:31:46,120 Speaker 1: that this three part test, called the dynamics, would be 543 00:31:46,200 --> 00:31:50,320 Speaker 1: used to determine if contractors qualify as employees so to 544 00:31:50,480 --> 00:31:54,840 Speaker 1: be exempt um from labor requirements. An employer would be 545 00:31:54,880 --> 00:31:58,880 Speaker 1: required to prove that one it's workers have complete control 546 00:31:59,520 --> 00:32:03,880 Speaker 1: over how services are provided. So in other words, Uber 547 00:32:04,000 --> 00:32:06,840 Speaker 1: can't give a minimum amount of hours that you have 548 00:32:06,880 --> 00:32:09,520 Speaker 1: to work or so you have to drive every Tuesday 549 00:32:09,600 --> 00:32:11,760 Speaker 1: or whatever. I'm not sure, you know if they even 550 00:32:11,800 --> 00:32:13,680 Speaker 1: do that, but no, I don't think they do. And 551 00:32:13,720 --> 00:32:16,400 Speaker 1: I think that's part of their argument why they're not employers, 552 00:32:16,440 --> 00:32:20,040 Speaker 1: because the workers sets their own schedule, all right. And 553 00:32:20,120 --> 00:32:24,040 Speaker 1: number two, uh, the services provided are not related to 554 00:32:24,160 --> 00:32:29,920 Speaker 1: the employer's main business. So that's a big one because 555 00:32:29,960 --> 00:32:33,400 Speaker 1: that rules out all the I mean, all the ride 556 00:32:33,440 --> 00:32:39,960 Speaker 1: chairs unless they say that their main business is app development, right, Yeah, 557 00:32:40,040 --> 00:32:42,680 Speaker 1: that is I'm not sure if that's a loophole. Yeah, 558 00:32:42,720 --> 00:32:45,280 Speaker 1: I don't know about that one either. And then number three, 559 00:32:45,360 --> 00:32:50,400 Speaker 1: the worker is engaged in an independently established role. So 560 00:32:50,520 --> 00:32:54,040 Speaker 1: this is a big deal because other states, you know, 561 00:32:54,080 --> 00:32:56,560 Speaker 1: a lot of states look to California because this is 562 00:32:56,600 --> 00:32:59,080 Speaker 1: where a lot of the gig economy, the modern gig 563 00:32:59,080 --> 00:33:03,720 Speaker 1: economy was born, and um, and this is sort of 564 00:33:03,760 --> 00:33:07,960 Speaker 1: the first, the first big California legislation that's that's gone 565 00:33:08,000 --> 00:33:10,200 Speaker 1: down the road. Yeah, now that is a big deal 566 00:33:10,240 --> 00:33:14,680 Speaker 1: because it's like that's their home court making laws against them. 567 00:33:14,760 --> 00:33:18,440 Speaker 1: So that definitely kind of indicates like a turning tide. 568 00:33:18,480 --> 00:33:21,120 Speaker 1: And again, it's not just like government's looking out for 569 00:33:21,800 --> 00:33:24,440 Speaker 1: their citizens, although I'm sure that's part of it, but 570 00:33:24,520 --> 00:33:26,960 Speaker 1: it's also government's looking out for their own bottom line 571 00:33:27,000 --> 00:33:29,400 Speaker 1: because those citizens are having to comme and say I 572 00:33:29,440 --> 00:33:34,280 Speaker 1: need healthcare. Again, it's really important, frequently overlooked point. But 573 00:33:35,080 --> 00:33:37,600 Speaker 1: despite all that, and I mean you said it's it's 574 00:33:37,600 --> 00:33:39,720 Speaker 1: easy to pick on Uber. They're kind of a model 575 00:33:39,800 --> 00:33:42,600 Speaker 1: for this this kind of thing, but they're certainly not 576 00:33:42,640 --> 00:33:47,040 Speaker 1: the only ones. But it also, Um, when you just 577 00:33:47,120 --> 00:33:49,760 Speaker 1: focus on that, you miss out on the other aspect 578 00:33:49,920 --> 00:33:52,360 Speaker 1: of the gig economy, which is that it's a double 579 00:33:52,480 --> 00:33:57,920 Speaker 1: edged sword. For some people, uh, freelancing gig economy has 580 00:33:58,160 --> 00:34:02,280 Speaker 1: allowed them to basically pursue their dreams and become quite 581 00:34:02,360 --> 00:34:05,280 Speaker 1: successful at doing what they want to do on their 582 00:34:05,280 --> 00:34:10,680 Speaker 1: own terms, on their own schedule, And there are um, 583 00:34:10,360 --> 00:34:13,719 Speaker 1: supposedly a pretty decent amount of people out there who 584 00:34:13,800 --> 00:34:17,600 Speaker 1: are doing it that way, but usually they're highly educated 585 00:34:17,880 --> 00:34:21,960 Speaker 1: and they work in UM a craft or an artistic 586 00:34:22,560 --> 00:34:27,279 Speaker 1: or UM kind of elite field, specialized field like AI 587 00:34:27,440 --> 00:34:32,200 Speaker 1: or robotics, sure or UM. If you are a consultant 588 00:34:32,200 --> 00:34:36,120 Speaker 1: of some sort and especially very specialized consultant, you don't 589 00:34:36,200 --> 00:34:39,040 Speaker 1: have to spend the time and money going out and 590 00:34:39,120 --> 00:34:42,600 Speaker 1: drumming up business for yourself. You can go to platforms 591 00:34:42,640 --> 00:34:45,760 Speaker 1: like up work UM and find people who are looking 592 00:34:45,840 --> 00:34:48,840 Speaker 1: for the stuff that you do way easier than before. 593 00:34:48,880 --> 00:34:51,759 Speaker 1: And that's a huge benefit of this gig economy. It's 594 00:34:51,800 --> 00:34:55,799 Speaker 1: become way easier to find work, whether it's UM, you know, 595 00:34:55,920 --> 00:35:00,000 Speaker 1: driving for a rideheiling app or being a marketing consultant 596 00:35:00,160 --> 00:35:02,840 Speaker 1: you know, like you it's from from top to bottom. 597 00:35:02,880 --> 00:35:06,200 Speaker 1: It's easier to find work than ever. Yeah, but it's 598 00:35:06,239 --> 00:35:11,400 Speaker 1: also UM like the people are in these situations a 599 00:35:11,400 --> 00:35:14,319 Speaker 1: lot of times because they were unable to find the 600 00:35:14,400 --> 00:35:18,239 Speaker 1: job that they wanted on a full time basis. Uh is. 601 00:35:18,400 --> 00:35:21,760 Speaker 1: It is a very tough nut to crack because even 602 00:35:21,760 --> 00:35:24,520 Speaker 1: in ride shares, when you get in a car, nine 603 00:35:24,520 --> 00:35:27,279 Speaker 1: times out of ten, my driver is very happy doing 604 00:35:27,320 --> 00:35:31,240 Speaker 1: what they do. And they always say uh pretty roundly 605 00:35:31,320 --> 00:35:33,440 Speaker 1: like yeah, it's great man, it's at my own hours. 606 00:35:33,480 --> 00:35:34,960 Speaker 1: And I mean it sounds like I don't know if 607 00:35:34,960 --> 00:35:38,400 Speaker 1: they're encouraged to say these things, but it sounds like 608 00:35:38,480 --> 00:35:40,680 Speaker 1: an ad for when you sign up, you know, because 609 00:35:40,719 --> 00:35:43,560 Speaker 1: they kind of pair it exactly the things that that 610 00:35:43,640 --> 00:35:45,640 Speaker 1: they try and entice you with, which is your your 611 00:35:45,760 --> 00:35:48,040 Speaker 1: own boss and you set your own hours, you only 612 00:35:48,120 --> 00:35:51,719 Speaker 1: drive when you want to. But that is the deal, um, 613 00:35:51,840 --> 00:35:54,400 Speaker 1: And no one's forcing them to go do this, and 614 00:35:54,440 --> 00:35:58,000 Speaker 1: they you are putting money in their pocket. Um. I 615 00:35:58,040 --> 00:36:00,680 Speaker 1: mean I always tip super big. That's that's I think 616 00:36:00,719 --> 00:36:04,480 Speaker 1: the only thing within your control or not use these 617 00:36:04,520 --> 00:36:07,839 Speaker 1: apps at all if you think they're evil, right, which 618 00:36:07,880 --> 00:36:10,000 Speaker 1: is another another way to look at it, for sure. 619 00:36:10,160 --> 00:36:11,680 Speaker 1: But then all of a sudden, you know, there's a 620 00:36:11,680 --> 00:36:13,640 Speaker 1: lot of people that depend on that money that are 621 00:36:13,760 --> 00:36:16,520 Speaker 1: being heard. It's it's tough, right, No, it is for sure. 622 00:36:16,760 --> 00:36:18,879 Speaker 1: Like that is another thing about the gig economy too, 623 00:36:18,920 --> 00:36:20,879 Speaker 1: as you can say like, well, I mean you're having 624 00:36:20,880 --> 00:36:24,359 Speaker 1: trouble making ends meet, I get to like hire you 625 00:36:24,560 --> 00:36:27,319 Speaker 1: and like have an impact on you being able to 626 00:36:27,360 --> 00:36:32,200 Speaker 1: make ends meet. Um, or it's just it's such a 627 00:36:32,239 --> 00:36:36,239 Speaker 1: first world thing to be like, oh, forget all all 628 00:36:36,280 --> 00:36:38,920 Speaker 1: you know, platforms and apps because they exploit workers. Well, 629 00:36:38,920 --> 00:36:42,560 Speaker 1: they also help people make money where they otherwise couldn't, 630 00:36:43,239 --> 00:36:45,480 Speaker 1: So there's it is very much a double edged sort. 631 00:36:45,600 --> 00:36:49,719 Speaker 1: There's definitely exploitation, but there's also certainly an uplift of 632 00:36:49,760 --> 00:36:53,400 Speaker 1: the middle class that wasn't happening before. There's also been 633 00:36:53,440 --> 00:36:59,280 Speaker 1: an uptick in uh New York taxi driver suicides really yeah, 634 00:36:59,440 --> 00:37:02,399 Speaker 1: that have um long been blamed on rideshare because it's 635 00:37:02,440 --> 00:37:07,840 Speaker 1: put such a dent in taxicab incomes driver incomes. So 636 00:37:07,880 --> 00:37:10,640 Speaker 1: I looked into that a little bit and then found 637 00:37:10,640 --> 00:37:13,000 Speaker 1: out this whole other world about you know, the whole 638 00:37:13,040 --> 00:37:16,279 Speaker 1: deal with the taxi medallions. Yeah, like people buy the 639 00:37:16,320 --> 00:37:19,160 Speaker 1: medallions as like an investment and then they like lease 640 00:37:19,239 --> 00:37:22,000 Speaker 1: out the license to cabbies. Right. Yeah, we need to 641 00:37:22,040 --> 00:37:24,560 Speaker 1: do a full show on that because it is way 642 00:37:24,600 --> 00:37:26,640 Speaker 1: more involved than I thought, And I was going to 643 00:37:26,719 --> 00:37:29,640 Speaker 1: talk about it some here, but it deserves its own episode. 644 00:37:30,160 --> 00:37:32,239 Speaker 1: But they're saying that that is a big part of 645 00:37:32,239 --> 00:37:35,560 Speaker 1: the problem for the suicide rate as well. It's sort 646 00:37:35,560 --> 00:37:39,400 Speaker 1: of both of those things contributing. Right, so taxi medallions. 647 00:37:39,480 --> 00:37:42,479 Speaker 1: Look look for that one. Okay, that's a that's a deal. 648 00:37:42,880 --> 00:37:44,920 Speaker 1: There's a two other things in New York that I 649 00:37:44,920 --> 00:37:48,160 Speaker 1: want to point out, actually two other UM platforms to 650 00:37:48,320 --> 00:37:50,279 Speaker 1: other things you want to point out. The departure date 651 00:37:50,280 --> 00:37:54,160 Speaker 1: buildings very nice. Right, that's one UM and take your 652 00:37:54,200 --> 00:37:58,080 Speaker 1: ride on the subway. Right. There's a cleaning service called 653 00:37:58,120 --> 00:38:03,520 Speaker 1: my Clean. That's get an app where they started out 654 00:38:03,640 --> 00:38:07,360 Speaker 1: with UM as with like the normal Silicon Valley model 655 00:38:07,360 --> 00:38:10,880 Speaker 1: where they just have independent contractors, and they actually converted 656 00:38:11,000 --> 00:38:15,120 Speaker 1: and started hiring their contractors on as employees. And there's 657 00:38:15,160 --> 00:38:17,960 Speaker 1: another one called Hello Alfred, which is kind of like 658 00:38:18,000 --> 00:38:21,759 Speaker 1: a personal assistant, a team of personal assistance that you 659 00:38:21,800 --> 00:38:25,160 Speaker 1: can basically involve in your life as much as little 660 00:38:25,200 --> 00:38:28,520 Speaker 1: as you want. Hello Alfred. It's just in New York 661 00:38:28,560 --> 00:38:30,560 Speaker 1: and it's only in certain buildings in New York from 662 00:38:30,560 --> 00:38:33,200 Speaker 1: what I can tell. But they'll do everything from like 663 00:38:33,400 --> 00:38:35,640 Speaker 1: keep your plant alive, to walk your dog, to do 664 00:38:35,719 --> 00:38:38,879 Speaker 1: your grocery shopping, to pick out clothes for you, UM, 665 00:38:38,920 --> 00:38:42,799 Speaker 1: to have your shoes repaired, whatever, just basically keeping your 666 00:38:42,840 --> 00:38:46,680 Speaker 1: life in order for you. But because UM they try 667 00:38:46,680 --> 00:38:50,680 Speaker 1: to anticipate the things their customers need. They realize that 668 00:38:50,719 --> 00:38:54,160 Speaker 1: they need employees. They need people they can't have turnover 669 00:38:54,200 --> 00:38:57,600 Speaker 1: and frequent training and introducing their customers and new people 670 00:38:57,800 --> 00:38:59,879 Speaker 1: they need, like people who are going to be there 671 00:38:59,880 --> 00:39:02,879 Speaker 1: for long haul. So they started out having employees too, 672 00:39:03,280 --> 00:39:07,440 Speaker 1: And that really kind of underscores a big reason why 673 00:39:07,800 --> 00:39:13,920 Speaker 1: UM having a full time employment is preferable to gig employment, 674 00:39:13,920 --> 00:39:17,320 Speaker 1: and especially if you're a company, because there's less turnover, 675 00:39:17,640 --> 00:39:22,120 Speaker 1: there's less training, training involved, and usually the worker is 676 00:39:22,160 --> 00:39:25,480 Speaker 1: a lot happier when they have a steady, full time 677 00:39:25,520 --> 00:39:28,520 Speaker 1: gig and then that's their only job and they get 678 00:39:28,560 --> 00:39:31,680 Speaker 1: two weeks paid vacation every year or more if you're 679 00:39:31,719 --> 00:39:36,200 Speaker 1: in Europe UM and that has a benefit for the 680 00:39:36,280 --> 00:39:40,200 Speaker 1: company because that's the person who's communicating with the public 681 00:39:40,360 --> 00:39:42,959 Speaker 1: or making the stuff, and they don't hate their life 682 00:39:42,960 --> 00:39:46,399 Speaker 1: for their job, so they're they're they're just producing better too, 683 00:39:46,440 --> 00:39:49,280 Speaker 1: if you want to look at like the ickiest economic terms. 684 00:39:51,000 --> 00:39:56,799 Speaker 1: Yeah that's interesting, I thought so too, Alfred. Yeah, I 685 00:39:56,840 --> 00:40:00,439 Speaker 1: think he just became their spokesman. You got anything else? 686 00:40:00,680 --> 00:40:03,640 Speaker 1: Uh No, I don't know. There. I do have one 687 00:40:03,640 --> 00:40:06,600 Speaker 1: more thing, Chuck, you ready, h This whole like puer 688 00:40:06,640 --> 00:40:09,920 Speaker 1: to peer platform thing. Reminded me we have a Kiva team, 689 00:40:10,200 --> 00:40:12,600 Speaker 1: and I went and checked on it that just the 690 00:40:12,640 --> 00:40:15,320 Speaker 1: other day. So you saw what like the big number 691 00:40:15,320 --> 00:40:18,040 Speaker 1: we're plashing on on total donations. I think you should 692 00:40:18,040 --> 00:40:20,400 Speaker 1: take this one. Well, you had the most recent number. 693 00:40:20,800 --> 00:40:23,160 Speaker 1: It was close to six million the other day. Yep. Still, 694 00:40:23,280 --> 00:40:27,120 Speaker 1: is this really really creeping up on six million dollars 695 00:40:27,719 --> 00:40:30,880 Speaker 1: total loans loaned out? Dude that it had been a 696 00:40:30,880 --> 00:40:33,160 Speaker 1: while too. That's so funny. We both had that same thought, 697 00:40:33,920 --> 00:40:37,960 Speaker 1: um man, that that's really something else. Yep. So congratulations 698 00:40:38,040 --> 00:40:40,000 Speaker 1: to the stuff you should know Kiva team. There are 699 00:40:40,000 --> 00:40:44,080 Speaker 1: people joining. I saw people joined yesterday, so there's it's 700 00:40:44,160 --> 00:40:46,360 Speaker 1: wide open if you want to learn more about it 701 00:40:46,400 --> 00:40:49,480 Speaker 1: to search Kiva, k I v A and stuff you 702 00:40:49,520 --> 00:40:52,239 Speaker 1: should know. And not only were our Kiva page come up, 703 00:40:52,440 --> 00:40:54,239 Speaker 1: but some blog posts we wrote about it in the 704 00:40:54,280 --> 00:40:58,040 Speaker 1: past come up to which is hilarious and quaint. All right, Well, 705 00:40:58,040 --> 00:41:00,640 Speaker 1: since I said quaint, Chuck, it's time I think for 706 00:41:00,760 --> 00:41:05,040 Speaker 1: listener mail. All right, I'm gonna call this Tin pan 707 00:41:05,120 --> 00:41:09,120 Speaker 1: Alley follow up. I enjoyed that episode. Hey guys, if 708 00:41:09,120 --> 00:41:11,239 Speaker 1: you asked me what tin pan Alley was. Prior to 709 00:41:11,239 --> 00:41:13,960 Speaker 1: listening to this episode, I would have said somewhere in 710 00:41:13,960 --> 00:41:16,520 Speaker 1: New York where music started to be popular. And that's 711 00:41:16,560 --> 00:41:19,680 Speaker 1: about all I can tell you. And guys, I graduated 712 00:41:20,160 --> 00:41:23,560 Speaker 1: with a Bachelor of Music and Music Education. What it's 713 00:41:23,600 --> 00:41:25,759 Speaker 1: not that I'm so far out of college either that 714 00:41:25,800 --> 00:41:28,640 Speaker 1: I don't remember music history. I'm only twenty five and 715 00:41:28,680 --> 00:41:31,640 Speaker 1: I'm finishing up my third year teaching orchestra. At fourth, fifth, 716 00:41:31,640 --> 00:41:34,359 Speaker 1: and sixth graders didn't even really know much about Tin Pan. 717 00:41:34,440 --> 00:41:36,600 Speaker 1: All I know the last semester of music history in 718 00:41:36,640 --> 00:41:39,120 Speaker 1: college had to cover late Romantic to present day, which 719 00:41:39,160 --> 00:41:42,880 Speaker 1: is over a century worth of music. Uh. This was 720 00:41:42,920 --> 00:41:46,640 Speaker 1: so much more interesting than the one slide in music 721 00:41:46,719 --> 00:41:50,120 Speaker 1: history class. At eight am. I am one of many 722 00:41:50,120 --> 00:41:53,160 Speaker 1: listeners sitting in the d C Metro traffic. So thank 723 00:41:53,160 --> 00:41:55,799 Speaker 1: you for teaching me new things every day. And that 724 00:41:55,960 --> 00:42:03,879 Speaker 1: is from Consuelo Civilia, not severe No, it's she wrote 725 00:42:03,880 --> 00:42:07,440 Speaker 1: back even two els. Yeah, yeah, she said, this is 726 00:42:07,440 --> 00:42:12,279 Speaker 1: the Filipino pronunciation, not the Spanish. Gotcha, So thank you, Consuelo. Yeah, 727 00:42:12,280 --> 00:42:14,760 Speaker 1: thanks a lot, Kensuelo. Glad to know we are rounding 728 00:42:14,760 --> 00:42:18,759 Speaker 1: out your education even after you graduated. Yeah, well, it's 729 00:42:18,800 --> 00:42:21,040 Speaker 1: kind of the purpose of the show, isn't it. I 730 00:42:21,080 --> 00:42:23,719 Speaker 1: think so. Well, if you want to let us know 731 00:42:23,760 --> 00:42:26,000 Speaker 1: what you think. The purpose of Stuff you Should Know is. 732 00:42:26,239 --> 00:42:29,400 Speaker 1: We're amorphous in wide open, so let us have it. 733 00:42:29,520 --> 00:42:31,759 Speaker 1: You can go to stuff you Should Know dot com 734 00:42:31,800 --> 00:42:34,040 Speaker 1: and check out our social links, or you can send 735 00:42:34,120 --> 00:42:36,560 Speaker 1: us a good old fashioned email, wrap it up, spank 736 00:42:36,640 --> 00:42:38,720 Speaker 1: it on the bottom, and send it off to stuff 737 00:42:38,800 --> 00:42:45,120 Speaker 1: Podcasts at i heart radio dot com. Stuff you Should 738 00:42:45,160 --> 00:42:47,640 Speaker 1: Know is a production of iHeart Radio's How Stuff Works. 739 00:42:47,680 --> 00:42:49,600 Speaker 1: For more podcasts for my heart Radio is at the 740 00:42:49,640 --> 00:42:52,360 Speaker 1: iHeart Radio app, Apple Podcasts, or wherever you listen to 741 00:42:52,360 --> 00:42:53,160 Speaker 1: your favorite shows.