1 00:00:00,680 --> 00:00:02,520 Speaker 1: It is twenty twenty. 2 00:00:02,640 --> 00:00:03,440 Speaker 2: Happy New Year. 3 00:00:03,600 --> 00:00:05,160 Speaker 1: You know, at the top of the year, everybody, I 4 00:00:05,200 --> 00:00:08,360 Speaker 1: feel like, is holding that mirror up and saying, what 5 00:00:08,400 --> 00:00:09,800 Speaker 1: am I going to do different this year? 6 00:00:09,920 --> 00:00:12,960 Speaker 3: Yes, you see all the commercials for gym memberships and 7 00:00:13,039 --> 00:00:15,720 Speaker 3: things like that, because people are trying to get their 8 00:00:15,920 --> 00:00:16,960 Speaker 3: their fitness in order. 9 00:00:17,360 --> 00:00:18,840 Speaker 2: Yes, I need to do that as well. 10 00:00:18,960 --> 00:00:20,599 Speaker 1: I feel like you can always count on a couple 11 00:00:20,600 --> 00:00:23,640 Speaker 1: of things. You can count on people getting gym memberships 12 00:00:24,120 --> 00:00:27,639 Speaker 1: and saying they're working out, people packing that lunch. People 13 00:00:27,640 --> 00:00:29,240 Speaker 1: are saying I'm not gonna eat out as much this year. 14 00:00:29,240 --> 00:00:29,920 Speaker 1: I tweeted that. 15 00:00:30,000 --> 00:00:31,080 Speaker 2: I tweeted that. The other day. 16 00:00:31,120 --> 00:00:33,239 Speaker 3: I was like the mod over twenty twenty is you 17 00:00:33,360 --> 00:00:34,400 Speaker 3: have food at home? 18 00:00:34,600 --> 00:00:35,840 Speaker 2: Eat what you got on your fridge? TT. 19 00:00:36,200 --> 00:00:39,800 Speaker 1: Yes, And I think people are hyper focused on their pockets, definitely, 20 00:00:40,200 --> 00:00:42,240 Speaker 1: And you know that could be for many reasons. I 21 00:00:42,280 --> 00:00:45,320 Speaker 1: think sometimes after the holiday season, after you've purchased all 22 00:00:45,320 --> 00:00:45,800 Speaker 1: those gifts. 23 00:00:45,920 --> 00:00:47,280 Speaker 3: Yeah, I feel like I was in a better space 24 00:00:47,320 --> 00:00:49,520 Speaker 3: because I told everybody, no one is getting a gift, 25 00:00:49,720 --> 00:00:52,280 Speaker 3: no one, no one over the age of six. 26 00:00:52,159 --> 00:00:54,440 Speaker 1: That's getting again. I'm behind it. 27 00:00:54,880 --> 00:00:57,880 Speaker 2: I'm TT and I'm Zakiah and from Spotify Studios. 28 00:00:57,920 --> 00:01:13,920 Speaker 4: This is dope laps. 29 00:01:14,640 --> 00:01:17,120 Speaker 1: My timeline has been filled with people talking about cutting 30 00:01:17,160 --> 00:01:22,440 Speaker 1: expenses and generating new lines of income. Sometimes people say, 31 00:01:22,440 --> 00:01:24,480 Speaker 1: I didn't do as much with my money or I 32 00:01:24,520 --> 00:01:26,600 Speaker 1: didn't do as well with my money in twenty nineteen, 33 00:01:26,640 --> 00:01:28,720 Speaker 1: so in twenty twenty, I'm gonna make some changes. Have 34 00:01:28,760 --> 00:01:29,640 Speaker 1: you seen that kind of stuff. 35 00:01:29,680 --> 00:01:32,120 Speaker 3: I've seen some memes that are like, oh, how to 36 00:01:32,200 --> 00:01:34,720 Speaker 3: save you know, a few thousand dollars by the end 37 00:01:34,720 --> 00:01:36,400 Speaker 3: of the year, And it has like a metric where 38 00:01:36,440 --> 00:01:38,959 Speaker 3: it's like, if you save, you know, two dollars every day, 39 00:01:39,040 --> 00:01:40,920 Speaker 3: then you'll be able to get to a certain amount 40 00:01:40,920 --> 00:01:43,240 Speaker 3: of money, or if you save like two dollars and 41 00:01:43,280 --> 00:01:44,880 Speaker 3: four dollars and six dollars. 42 00:01:44,920 --> 00:01:45,720 Speaker 2: And things like that. 43 00:01:45,800 --> 00:01:47,600 Speaker 3: And so people are trying to find all the cheat 44 00:01:47,640 --> 00:01:49,880 Speaker 3: codes to level up with their bank account. 45 00:01:50,080 --> 00:01:52,520 Speaker 1: And I think this puts us in just the right 46 00:01:52,560 --> 00:01:55,200 Speaker 1: position to kind of jump into some of the tools 47 00:01:55,240 --> 00:01:57,600 Speaker 1: people are using to hit these financial. 48 00:01:57,160 --> 00:01:59,000 Speaker 2: Goals, because there are a lot out there. 49 00:01:59,200 --> 00:02:03,120 Speaker 1: So this week we're talking about fintech. Fintech is short 50 00:02:03,120 --> 00:02:07,240 Speaker 1: for financial technology. In order for something to be considered fintech, 51 00:02:07,320 --> 00:02:10,720 Speaker 1: it must be technology that connects you to a financial system. 52 00:02:10,480 --> 00:02:13,600 Speaker 2: So like to your bank or your credit card or 53 00:02:13,600 --> 00:02:14,280 Speaker 2: something like that. 54 00:02:14,560 --> 00:02:18,080 Speaker 1: Right, And you may think you don't know any fintech apps, 55 00:02:18,120 --> 00:02:19,680 Speaker 1: but I guarantee you that you do. 56 00:02:19,919 --> 00:02:22,640 Speaker 3: Yes, fintech apps are basically running our lives, and we 57 00:02:22,720 --> 00:02:23,800 Speaker 3: had no idea. 58 00:02:23,960 --> 00:02:26,119 Speaker 1: There are a couple of different categories, and I won't 59 00:02:26,160 --> 00:02:28,560 Speaker 1: hit all of them, but those that are kind of 60 00:02:28,800 --> 00:02:32,360 Speaker 1: digital banking, so Chime if you've heard of that. Those 61 00:02:32,360 --> 00:02:36,480 Speaker 1: that let you send different payments, so Venmo, Samsung pay 62 00:02:36,680 --> 00:02:39,799 Speaker 1: cash app, business tools, so things that help you if 63 00:02:39,840 --> 00:02:41,679 Speaker 1: you have a business, that help you kind of run 64 00:02:41,760 --> 00:02:45,000 Speaker 1: your business. Retail investing so Acorn if you've heard of 65 00:02:45,000 --> 00:02:47,600 Speaker 1: that one, or Robinhood or Symphony if you use that 66 00:02:47,760 --> 00:02:51,680 Speaker 1: banking system. Crowdfunding, so Kickstarter is a fintech app, go 67 00:02:51,840 --> 00:02:54,399 Speaker 1: fund me, that's right, And Patreon is a fintech app 68 00:02:54,400 --> 00:02:57,920 Speaker 1: as well. Even some new insurance options are actually financial 69 00:02:57,960 --> 00:02:59,239 Speaker 1: technology companies. 70 00:02:59,400 --> 00:03:02,480 Speaker 3: Yes, there's stuff for car insurance, medical insurance. 71 00:03:02,720 --> 00:03:05,440 Speaker 1: If you're already using these or thinking about using one, 72 00:03:05,480 --> 00:03:07,880 Speaker 1: we're here to help you learn a little bit more 73 00:03:07,919 --> 00:03:10,679 Speaker 1: about how these apps work and how they can work 74 00:03:10,720 --> 00:03:11,200 Speaker 1: for you. 75 00:03:11,320 --> 00:03:13,720 Speaker 2: And how you can get yourself situated for twenty twenty. 76 00:03:13,760 --> 00:03:15,079 Speaker 1: So let's get into the recitation. 77 00:03:16,320 --> 00:03:18,640 Speaker 3: Now that we know some examples of what fintech is, 78 00:03:19,400 --> 00:03:21,000 Speaker 3: what questions do we have? 79 00:03:21,520 --> 00:03:23,440 Speaker 1: I want to know how these apps make their money? 80 00:03:23,560 --> 00:03:25,720 Speaker 1: Should I trust them? Are they selling my information? 81 00:03:25,840 --> 00:03:28,799 Speaker 2: Are they ribbing us? And we don't even know what. 82 00:03:28,880 --> 00:03:31,720 Speaker 1: Makes people use these apps? And if I'm trying to 83 00:03:31,720 --> 00:03:34,679 Speaker 1: save more money in twenty twenty, which apps should I use? 84 00:03:34,760 --> 00:03:36,400 Speaker 1: What strategies should I follow? 85 00:03:36,560 --> 00:03:38,200 Speaker 3: Okay, so now that we know the questions that we 86 00:03:38,280 --> 00:03:40,400 Speaker 3: want to ask, let's jump into the dissection. 87 00:03:42,920 --> 00:03:44,520 Speaker 2: Fintech is a major industry. 88 00:03:44,720 --> 00:03:49,360 Speaker 3: By September twenty nineteen, about two thousand, seven hundred fintech 89 00:03:49,400 --> 00:03:54,480 Speaker 3: startup companies raised over one hundred and sixty billion dollars 90 00:03:54,480 --> 00:03:55,040 Speaker 3: of capital. 91 00:03:55,200 --> 00:03:57,720 Speaker 1: That's a lot of money. Lots The various types of 92 00:03:57,760 --> 00:04:01,240 Speaker 1: fintech can be broadly clustered into category is like consumer lending, 93 00:04:01,360 --> 00:04:05,680 Speaker 1: point of sale systems, retail investing, personal finance, money transfer, 94 00:04:05,840 --> 00:04:07,680 Speaker 1: and crowdfunding, just to name a few. 95 00:04:07,760 --> 00:04:09,920 Speaker 3: We're going to walk through some of the different categories, 96 00:04:09,960 --> 00:04:13,960 Speaker 3: highlighting the positives and negatives. Then we'll outline strategies using 97 00:04:14,000 --> 00:04:17,120 Speaker 3: these apps to reach your twenty twenty financial goals, and. 98 00:04:17,200 --> 00:04:19,160 Speaker 1: To help us get into the nitty gritty about all 99 00:04:19,200 --> 00:04:21,880 Speaker 1: things fintech, we called on doctor Bill Mauer. 100 00:04:22,320 --> 00:04:25,200 Speaker 5: My name is Bill Mauer, and I'm an anthropology professor 101 00:04:25,200 --> 00:04:28,520 Speaker 5: at the University of California at Irvine, where I direct 102 00:04:28,560 --> 00:04:31,760 Speaker 5: a research center called the Institute for Money, Technology and 103 00:04:31,800 --> 00:04:35,640 Speaker 5: Financial Inclusion. And basically at that institute, what I study 104 00:04:35,880 --> 00:04:40,159 Speaker 5: is the interaction between new technologies and how those things 105 00:04:40,240 --> 00:04:46,240 Speaker 5: interact with people's existing financial practices, savings behavior, their understandings 106 00:04:46,240 --> 00:04:49,599 Speaker 5: of money and value, their understandings of debt, and so on. 107 00:04:50,000 --> 00:04:52,039 Speaker 1: Fintech is all around this, and it can feel like 108 00:04:52,080 --> 00:04:54,760 Speaker 1: these apps have been around forever, but that's not exactly 109 00:04:54,760 --> 00:04:55,159 Speaker 1: the case. 110 00:04:55,279 --> 00:04:58,320 Speaker 3: Yes, so our first question for doctor Mauer was when 111 00:04:58,400 --> 00:05:00,200 Speaker 3: did all of this stuff start popping up? 112 00:05:00,400 --> 00:05:03,159 Speaker 5: This really kind of hit the scene in a big 113 00:05:03,200 --> 00:05:04,760 Speaker 5: way in two thousand and eight and two thousand and 114 00:05:04,880 --> 00:05:07,240 Speaker 5: nine with the launch of the iPhone. 115 00:05:07,360 --> 00:05:09,559 Speaker 1: Yes, the iPhone launch in the US in two thousand 116 00:05:09,600 --> 00:05:11,719 Speaker 1: and seven, but the iPhone three G came on the 117 00:05:11,720 --> 00:05:16,120 Speaker 1: scene in two thousand and eight revolutionary and changed everything. 118 00:05:16,480 --> 00:05:18,760 Speaker 5: All of a sudden, people have this really cool device 119 00:05:18,800 --> 00:05:21,200 Speaker 5: that fits in their pocket and is basically a terrific 120 00:05:21,279 --> 00:05:25,320 Speaker 5: interface into a whole bunch of different applications, our whole 121 00:05:25,440 --> 00:05:28,920 Speaker 5: kind of app Ecology grew up around the iPhone and 122 00:05:29,000 --> 00:05:33,000 Speaker 5: similar devices, and people in Silicon Valley and in the 123 00:05:33,000 --> 00:05:37,320 Speaker 5: banking industry and payments industry started realizing, Hey, this device, 124 00:05:37,600 --> 00:05:40,839 Speaker 5: this suite of devices and apps could really change people's 125 00:05:40,880 --> 00:05:45,080 Speaker 5: relationship to their money into the existing financial and banking infrastructure. 126 00:05:45,279 --> 00:05:47,800 Speaker 1: I love that he describes this as ecology because we've 127 00:05:47,800 --> 00:05:50,480 Speaker 1: talked about ecology on a couple of different episodes. Yes, 128 00:05:50,760 --> 00:05:53,919 Speaker 1: and so ecology is just how different things. Usually in 129 00:05:53,920 --> 00:05:57,000 Speaker 1: biology we say how different organisms interact with one another, 130 00:05:57,560 --> 00:06:01,320 Speaker 1: But now we're saying how these different apps talk to 131 00:06:01,360 --> 00:06:03,920 Speaker 1: each other. How do people want to access their information 132 00:06:04,000 --> 00:06:06,320 Speaker 1: now that they have a smartphone. So it's really cool 133 00:06:06,360 --> 00:06:08,240 Speaker 1: to think about this in the context of more of 134 00:06:08,240 --> 00:06:09,200 Speaker 1: a relationship. 135 00:06:09,360 --> 00:06:13,440 Speaker 3: Yeah, so these apps have created their own special environment, 136 00:06:13,600 --> 00:06:14,040 Speaker 3: that's right. 137 00:06:14,360 --> 00:06:17,720 Speaker 1: So the first category we're walking through is personal finance. 138 00:06:17,880 --> 00:06:20,839 Speaker 1: These are apps like Mint, credit, Karma, you need a budget, 139 00:06:20,839 --> 00:06:23,440 Speaker 1: and even your personal banking gap. Generally they help you 140 00:06:23,480 --> 00:06:24,800 Speaker 1: manage your spending and saving. 141 00:06:25,000 --> 00:06:28,680 Speaker 5: These apps basically serve almost as like training wheels. Right, 142 00:06:28,800 --> 00:06:31,080 Speaker 5: So it's like training wheels on a bicycle that teaches 143 00:06:31,120 --> 00:06:33,800 Speaker 5: you a little bit about budgeting and investing or savings. 144 00:06:34,240 --> 00:06:36,400 Speaker 5: It's usually not enough to get you where you need 145 00:06:36,440 --> 00:06:38,719 Speaker 5: to go, but it gives you basic skills in a 146 00:06:38,760 --> 00:06:41,800 Speaker 5: basic vocabulary. So then you can start talking to other people, 147 00:06:41,920 --> 00:06:44,800 Speaker 5: to friends, to your parents, or even walk into your 148 00:06:44,800 --> 00:06:47,520 Speaker 5: credit union or bank and start asking better questions. 149 00:06:47,720 --> 00:06:49,880 Speaker 3: And these apps are services can be really good for 150 00:06:49,960 --> 00:06:54,040 Speaker 3: helping people make smarter financial decisions. This help comes primarily 151 00:06:54,080 --> 00:06:58,159 Speaker 3: in two ways. The first is by data visualization, or 152 00:06:58,200 --> 00:07:01,280 Speaker 3: giving people charts and graphs show them what they're really 153 00:07:01,320 --> 00:07:02,200 Speaker 3: doing with their money. 154 00:07:02,520 --> 00:07:05,520 Speaker 5: For so many people, money's just coming in and going 155 00:07:05,560 --> 00:07:07,880 Speaker 5: out and they're not really being mindful about it or 156 00:07:07,920 --> 00:07:09,800 Speaker 5: paying any attention to where things are going. 157 00:07:10,160 --> 00:07:12,320 Speaker 1: We all know we're getting more than the basics when 158 00:07:12,320 --> 00:07:14,440 Speaker 1: we go to Target. Yes, you're getting stuff that's not 159 00:07:14,480 --> 00:07:15,000 Speaker 1: on your list. 160 00:07:15,080 --> 00:07:17,160 Speaker 3: You went there for toilet paper. You came out with 161 00:07:17,240 --> 00:07:20,680 Speaker 3: a flat screen TV. The hair supplies that little one 162 00:07:20,720 --> 00:07:23,640 Speaker 3: dollar area in the front, it's a wrap it is. 163 00:07:23,760 --> 00:07:26,400 Speaker 3: I'm in there getting all seasonal decor whatever they have. 164 00:07:26,480 --> 00:07:28,760 Speaker 3: I'm grabbing it like I do need a new toaster. 165 00:07:29,240 --> 00:07:30,640 Speaker 1: I think we would all be shocked if we could 166 00:07:30,640 --> 00:07:32,960 Speaker 1: see just how much we're spending at Target every month. 167 00:07:33,160 --> 00:07:35,600 Speaker 5: What most of these budgeting apps do is they connect 168 00:07:35,680 --> 00:07:39,400 Speaker 5: up to your bank account and your you know, your 169 00:07:39,400 --> 00:07:41,400 Speaker 5: debit card and your credit card, all of your accounts, 170 00:07:42,000 --> 00:07:45,040 Speaker 5: and they're constantly pulling data in from those accounts, so 171 00:07:45,040 --> 00:07:48,120 Speaker 5: they're seeing what you're doing, and then they can represent 172 00:07:48,240 --> 00:07:51,640 Speaker 5: that data to you with cool visuals and graphics to 173 00:07:51,680 --> 00:07:53,880 Speaker 5: help you understand where your money's going and then to 174 00:07:53,920 --> 00:07:55,880 Speaker 5: help you change your behavior, at least in theory. 175 00:07:56,160 --> 00:07:59,800 Speaker 1: Yes, for me, I'm a visual learner, so you know, 176 00:08:00,120 --> 00:08:03,000 Speaker 1: seeing the dollar size of like, yeah, the money's going down, right, 177 00:08:03,040 --> 00:08:06,400 Speaker 1: But when you see that pie chart and it says, hey, 178 00:08:06,600 --> 00:08:09,920 Speaker 1: sixty percent of your shopping was at Target, that's a 179 00:08:09,920 --> 00:08:11,200 Speaker 1: reality check. Yeah. 180 00:08:11,200 --> 00:08:13,840 Speaker 3: For me, I realized that I spend way more money 181 00:08:13,920 --> 00:08:17,680 Speaker 3: on pizza than I do on like toothpaste. 182 00:08:18,040 --> 00:08:21,560 Speaker 1: I hope, so unless you're eating that toothpaste. One of 183 00:08:21,600 --> 00:08:23,600 Speaker 1: the Finzech apps that I used, and I used a 184 00:08:23,600 --> 00:08:25,320 Speaker 1: couple of years ago is Mint. 185 00:08:25,480 --> 00:08:26,400 Speaker 2: Oh, I use that too. 186 00:08:26,600 --> 00:08:31,400 Speaker 1: Really. I like Mint because it will kind of show 187 00:08:31,440 --> 00:08:34,199 Speaker 1: you all these different categories. You can create some new categories, 188 00:08:34,200 --> 00:08:36,920 Speaker 1: and they can say, hey, you're spending more on this 189 00:08:36,920 --> 00:08:39,640 Speaker 1: this month than you did last month or outside of 190 00:08:39,640 --> 00:08:42,400 Speaker 1: your budget. What Mint showed me is that I use 191 00:08:43,000 --> 00:08:46,240 Speaker 1: lift a lot, and so I was like, you know what, 192 00:08:46,320 --> 00:08:48,720 Speaker 1: tt sometimes you don't need someone to drive you. 193 00:08:48,800 --> 00:08:50,880 Speaker 2: Sometimes you can drive yourself or walk. 194 00:08:51,120 --> 00:08:52,880 Speaker 1: Ah. 195 00:08:52,920 --> 00:08:55,240 Speaker 2: That's not a part of my New Year's resolution, but 196 00:08:55,360 --> 00:08:57,240 Speaker 2: I ain't working out. 197 00:08:56,880 --> 00:09:00,320 Speaker 1: So for us, these types of visualizations really help us 198 00:09:00,400 --> 00:09:02,920 Speaker 1: understand what some of our spending patterns or trends are. 199 00:09:03,520 --> 00:09:06,280 Speaker 1: But the other way fintech helps people be smarter with 200 00:09:06,280 --> 00:09:08,040 Speaker 1: their money is through gamification. 201 00:09:08,520 --> 00:09:11,920 Speaker 5: And what that means is, you know, there's little points 202 00:09:11,960 --> 00:09:15,360 Speaker 5: that you earn, or little stickers or stars, or there's 203 00:09:15,440 --> 00:09:18,880 Speaker 5: bars that fill up with you know, green or the 204 00:09:19,240 --> 00:09:21,720 Speaker 5: you know the the red circle slowly turns into a 205 00:09:21,760 --> 00:09:22,360 Speaker 5: green circle. 206 00:09:22,600 --> 00:09:25,920 Speaker 1: Even though I don't want to believe that I'm swayed 207 00:09:25,920 --> 00:09:28,640 Speaker 1: by this type of gamification, I know that it's true. 208 00:09:28,960 --> 00:09:31,760 Speaker 1: I want to get all the stars, all the stickers. 209 00:09:32,240 --> 00:09:34,880 Speaker 1: I want to have nine lives, whatever it is. I 210 00:09:34,880 --> 00:09:37,160 Speaker 1: want to get the super plus bonus, right, I want 211 00:09:37,200 --> 00:09:37,920 Speaker 1: all those things. 212 00:09:38,000 --> 00:09:40,040 Speaker 3: You know, when you're driving our ways and you see 213 00:09:40,040 --> 00:09:43,959 Speaker 3: that that little power up thing coming, it's like, oh, 214 00:09:44,240 --> 00:09:46,360 Speaker 3: once you cross this place and you get ten points, 215 00:09:46,559 --> 00:09:47,480 Speaker 3: I'd be so excited. 216 00:09:47,600 --> 00:09:48,959 Speaker 2: I don't even know what those ten points do. 217 00:09:49,320 --> 00:09:52,200 Speaker 5: And then you're just tapping into basic psychology right off, 218 00:09:52,320 --> 00:09:55,079 Speaker 5: Like we get a little reward for doing something, and 219 00:09:55,160 --> 00:09:58,080 Speaker 5: our dopamine goes crazy in our brain and we're like, ooh, 220 00:09:58,120 --> 00:09:59,439 Speaker 5: that felt good, I want more of that. 221 00:10:00,040 --> 00:10:02,360 Speaker 1: There you have it. Fintech makes you feel good. 222 00:10:02,559 --> 00:10:06,040 Speaker 3: I love a gold star or you know something filling 223 00:10:06,120 --> 00:10:07,360 Speaker 3: up green or whatever. 224 00:10:07,559 --> 00:10:10,840 Speaker 2: It makes me feel like, go tt go t T. 225 00:10:12,720 --> 00:10:16,559 Speaker 1: While data visualization and gamification might help us make smarter decisions, 226 00:10:16,679 --> 00:10:19,600 Speaker 1: the fintech environment also brought about some new norms that 227 00:10:19,640 --> 00:10:22,800 Speaker 1: make managing your spending a little bit harder. One of 228 00:10:22,840 --> 00:10:25,800 Speaker 1: the things about some of these apps, and I guess 229 00:10:25,840 --> 00:10:28,160 Speaker 1: you could call this a downside, right, is that they 230 00:10:28,200 --> 00:10:30,160 Speaker 1: sometimes send you mixed messages. 231 00:10:30,360 --> 00:10:32,959 Speaker 3: Right, So, you might be spending a lot of money 232 00:10:33,080 --> 00:10:36,440 Speaker 3: on pizza, but then you get an ad. 233 00:10:36,000 --> 00:10:38,240 Speaker 2: That it shows a coupon for a pizza place. 234 00:10:38,480 --> 00:10:41,199 Speaker 5: So why is that some of the budgeting apps, the 235 00:10:41,600 --> 00:10:45,640 Speaker 5: the apps themselves make their money by selling ads to 236 00:10:45,679 --> 00:10:48,960 Speaker 5: you or by you know, kind of making you offers 237 00:10:49,000 --> 00:10:50,839 Speaker 5: that they get a little bit of a return on. 238 00:10:51,120 --> 00:10:53,680 Speaker 1: So now that you know that you can avoid those ads, 239 00:10:54,040 --> 00:10:56,960 Speaker 1: so sorry, TT doesn't mean that you get more pizza. 240 00:10:57,240 --> 00:11:00,160 Speaker 2: Fine. 241 00:11:01,120 --> 00:11:04,560 Speaker 3: Another category is point of sale and shopping. These are 242 00:11:04,559 --> 00:11:08,520 Speaker 3: apps like Venmo, cash App, PayPal, Zel, and Square, and 243 00:11:08,600 --> 00:11:11,800 Speaker 3: we use these apps to purchase products or services. It 244 00:11:11,840 --> 00:11:14,280 Speaker 3: makes paying really easy and avoids some of the hassle 245 00:11:14,320 --> 00:11:17,800 Speaker 3: of cash transactions. It's also a really great tool for 246 00:11:17,880 --> 00:11:20,360 Speaker 3: some small businesses because they can avoid the fees that 247 00:11:20,400 --> 00:11:23,760 Speaker 3: are normally attached to card purchases. And it's good for 248 00:11:23,840 --> 00:11:26,520 Speaker 3: the customer because then we don't have to have a 249 00:11:26,600 --> 00:11:29,680 Speaker 3: minimum amount purchased in order to use these apps like 250 00:11:29,720 --> 00:11:30,800 Speaker 3: we do with a credit card. 251 00:11:31,000 --> 00:11:34,360 Speaker 1: I think initially I was a little skeptical, and some 252 00:11:34,400 --> 00:11:36,240 Speaker 1: of my friends were skeptical about these apps. 253 00:11:36,400 --> 00:11:39,120 Speaker 2: I first definitely was skeptical at first. 254 00:11:38,960 --> 00:11:41,199 Speaker 1: And now it feels like everybody's using them. 255 00:11:41,160 --> 00:11:44,439 Speaker 5: You know, it just became it became so generalized and 256 00:11:44,559 --> 00:11:46,959 Speaker 5: second nature to people over time to just start putting 257 00:11:46,960 --> 00:11:48,960 Speaker 5: their credit card information into everything. Right. 258 00:11:49,400 --> 00:11:51,480 Speaker 1: But what we know, maybe this is based on some 259 00:11:51,520 --> 00:11:54,960 Speaker 1: of my own personal experience, is is that these apps 260 00:11:55,000 --> 00:11:57,920 Speaker 1: make it really easy to spend money because often all 261 00:11:57,920 --> 00:12:00,680 Speaker 1: of your information is already stored or pre populated in 262 00:12:00,720 --> 00:12:01,079 Speaker 1: the app. 263 00:12:01,320 --> 00:12:04,000 Speaker 3: Yes, because the way that smartphones are set up these days, 264 00:12:04,200 --> 00:12:08,880 Speaker 3: everything auto populates your name, your address, your cell phone number, 265 00:12:09,160 --> 00:12:13,280 Speaker 3: your social Security number, your mama's made a name, what 266 00:12:13,360 --> 00:12:15,079 Speaker 3: you ate for breakfast, everything. 267 00:12:15,400 --> 00:12:18,320 Speaker 1: And we talked about how putting credit card information yes 268 00:12:18,640 --> 00:12:19,920 Speaker 1: into your browser, and. 269 00:12:19,880 --> 00:12:22,800 Speaker 2: We talked about that on our end of the year mixtape. 270 00:12:22,840 --> 00:12:25,719 Speaker 5: When you have mobile browsers and even browsers on your 271 00:12:26,200 --> 00:12:29,600 Speaker 5: computer that auto populate your credit card information, right that 272 00:12:29,679 --> 00:12:33,080 Speaker 5: save it and auto populate, you're like, oh, yeah, okay, cool, Yes, 273 00:12:33,160 --> 00:12:34,960 Speaker 5: I will buy all of these things on Amazon right 274 00:12:34,960 --> 00:12:36,360 Speaker 5: now because my card is already there. 275 00:12:36,559 --> 00:12:38,319 Speaker 1: That can lead to a lot of late night shopping. 276 00:12:38,400 --> 00:12:41,119 Speaker 2: I do admit I did buy that cool Aunt sweatshirt. 277 00:12:41,800 --> 00:12:42,360 Speaker 2: I knew it. 278 00:12:42,440 --> 00:12:46,319 Speaker 1: I knew it. The thing here is these various types 279 00:12:46,360 --> 00:12:51,080 Speaker 1: of fintech can make capturing your coins really easy, but 280 00:12:51,120 --> 00:12:53,400 Speaker 1: it also can make giving them away pretty easy too, 281 00:12:53,440 --> 00:12:59,320 Speaker 1: so be careful with that. The next category is consumer lending. 282 00:12:59,480 --> 00:13:04,760 Speaker 1: These include affirm, after Pay, Credify, and bond Street. Are 283 00:13:04,760 --> 00:13:07,640 Speaker 1: these apps not exactly? Not all of these are apps, 284 00:13:07,720 --> 00:13:10,000 Speaker 1: So a firm is something you'll sometimes see on a 285 00:13:10,040 --> 00:13:12,400 Speaker 1: website when you get ready to check out, and it 286 00:13:12,400 --> 00:13:15,200 Speaker 1: may say you can split your payment into you know, 287 00:13:15,480 --> 00:13:18,040 Speaker 1: you can do this with zero percent financing over twelve months. 288 00:13:18,360 --> 00:13:22,600 Speaker 1: Peloton offers a firm I've often seen on like shop 289 00:13:22,640 --> 00:13:24,960 Speaker 1: bopped and some other websites they offer after pay so 290 00:13:25,040 --> 00:13:25,600 Speaker 1: you buy it. 291 00:13:25,559 --> 00:13:29,800 Speaker 3: And Outfitters and a lot of different clothing websites now. 292 00:13:29,760 --> 00:13:32,840 Speaker 1: And there are some technologies like Zel that yes have 293 00:13:32,920 --> 00:13:36,160 Speaker 1: a standalone app, but are also integrated. So Zell is integrated. 294 00:13:36,200 --> 00:13:37,880 Speaker 1: If you have Bank of America, zel is an option. 295 00:13:37,960 --> 00:13:40,320 Speaker 1: If you have Wells Fargo, zell is an option. And 296 00:13:40,360 --> 00:13:42,920 Speaker 1: so now that's why one in two people that have 297 00:13:42,960 --> 00:13:45,760 Speaker 1: a bank account have access to Zel. That's amazing because 298 00:13:45,760 --> 00:13:47,880 Speaker 1: they did. They have the best of both worlds. You 299 00:13:47,880 --> 00:13:49,720 Speaker 1: can download another app, or you don't have to. You 300 00:13:49,800 --> 00:13:51,760 Speaker 1: just use it in your own banking app. It's pretty clever. 301 00:13:52,080 --> 00:13:52,680 Speaker 2: Definitely. 302 00:13:52,760 --> 00:13:55,960 Speaker 3: It gives people the opportunity to make purchases that they 303 00:13:55,960 --> 00:13:58,839 Speaker 3: can't afford all at once and pay it off in 304 00:13:58,920 --> 00:14:00,000 Speaker 3: tiny chunks. 305 00:14:00,040 --> 00:14:02,320 Speaker 1: Let's just take the holidays for example. If I don't 306 00:14:02,360 --> 00:14:05,440 Speaker 1: have cash or credit, I might take a payday loan 307 00:14:05,520 --> 00:14:08,560 Speaker 1: and those things have incredible interest and have all these 308 00:14:08,600 --> 00:14:11,440 Speaker 1: fees attached to them. But something like a firm or 309 00:14:11,480 --> 00:14:15,719 Speaker 1: afterpay allows me to make a purchase and I can 310 00:14:15,720 --> 00:14:18,160 Speaker 1: pay it in small chunks. Now, this still requires you 311 00:14:18,200 --> 00:14:21,320 Speaker 1: to have some type of credit, while offering more payment 312 00:14:21,360 --> 00:14:24,080 Speaker 1: options is really great. Some of these fintech apps use 313 00:14:24,240 --> 00:14:27,040 Speaker 1: something called alternative risk scoring. This is a practice that 314 00:14:27,120 --> 00:14:31,720 Speaker 1: can mine other types of data to determine your credit worthiness. 315 00:14:32,040 --> 00:14:36,600 Speaker 3: Yeah, so some consumer lending companies have access to our 316 00:14:36,680 --> 00:14:42,000 Speaker 3: social profiles, our cell phone location information, and browsing histories 317 00:14:42,000 --> 00:14:45,080 Speaker 3: and they're using that to determine our credit worthiness. 318 00:14:45,200 --> 00:14:47,360 Speaker 1: The key thing here is that all of these different 319 00:14:47,400 --> 00:14:49,840 Speaker 1: companies have proprietary algorithms. 320 00:14:50,040 --> 00:14:53,760 Speaker 3: An algorithm is an equation that is used to determine 321 00:14:54,200 --> 00:14:56,840 Speaker 3: a risk or an outcome. What some of them might 322 00:14:56,880 --> 00:15:01,480 Speaker 3: be doing is taking like your browsing history and putting 323 00:15:01,480 --> 00:15:04,840 Speaker 3: that into their algorithm to determine your credit worthiness. 324 00:15:05,160 --> 00:15:08,120 Speaker 1: So the thing to remember is that these algorithms are proprietary. 325 00:15:08,160 --> 00:15:10,680 Speaker 1: That means they belong to those companies and they don't 326 00:15:10,760 --> 00:15:14,200 Speaker 1: have to share what the algorithm actually is. The problem 327 00:15:14,200 --> 00:15:15,960 Speaker 1: with that is that if we don't know what information 328 00:15:16,080 --> 00:15:18,520 Speaker 1: is being collected or used, we can't really tell if 329 00:15:18,560 --> 00:15:21,000 Speaker 1: it's being used correctly or maybe be a misinterpreted. 330 00:15:21,280 --> 00:15:24,000 Speaker 5: One of the really pernicious things here is you'll have 331 00:15:24,080 --> 00:15:26,800 Speaker 5: people in the industry who will say, oh, hey, it's 332 00:15:26,840 --> 00:15:29,920 Speaker 5: an algorithm. It's a computer. This is going to eliminate 333 00:15:29,960 --> 00:15:33,080 Speaker 5: bias because you're not going to have someone sitting in 334 00:15:33,080 --> 00:15:37,360 Speaker 5: a loan office looking at someone across a table from them, 335 00:15:37,520 --> 00:15:40,680 Speaker 5: where implicit or explicit bias can creep in. This is 336 00:15:40,720 --> 00:15:44,520 Speaker 5: totally neutral. It's the computer, but so much depends on 337 00:15:44,680 --> 00:15:47,560 Speaker 5: the data that's fed into it, the histories of how 338 00:15:47,560 --> 00:15:48,840 Speaker 5: those data are collected. 339 00:15:49,160 --> 00:15:49,360 Speaker 1: Yeah. 340 00:15:49,400 --> 00:15:51,680 Speaker 3: I mean, what if my niece has my phone, she's 341 00:15:51,720 --> 00:15:55,240 Speaker 3: five years old, and let's say she's been on YouTube 342 00:15:55,760 --> 00:15:59,520 Speaker 3: binge watching cartoons, and then the consumer lending company sees that, 343 00:16:00,120 --> 00:16:04,520 Speaker 3: and they may consider YouTube binge watching cartoons a negative 344 00:16:05,160 --> 00:16:06,840 Speaker 3: marker in their algorithm. 345 00:16:07,040 --> 00:16:09,040 Speaker 1: But we have no way of knowing that, right, we don't. 346 00:16:09,360 --> 00:16:11,160 Speaker 1: So that's kind of the tricky part about all of this. 347 00:16:11,440 --> 00:16:13,840 Speaker 1: You know, we've talked about bias in the past, but 348 00:16:13,920 --> 00:16:15,720 Speaker 1: this is something to really consider. And this is something 349 00:16:15,760 --> 00:16:18,720 Speaker 1: that the new Apple credit card really recently came under 350 00:16:18,760 --> 00:16:21,480 Speaker 1: fire about. So the Apple credit card, which is paired 351 00:16:21,480 --> 00:16:23,840 Speaker 1: with glob and sacks. There were reports that it may 352 00:16:23,840 --> 00:16:25,480 Speaker 1: have some type of bias against women. 353 00:16:25,640 --> 00:16:29,280 Speaker 5: Women are getting lower credit limits than their husbands, even 354 00:16:29,320 --> 00:16:31,400 Speaker 5: if they have the same household, in the same bank account, 355 00:16:31,440 --> 00:16:32,200 Speaker 5: and that sort of a thing. 356 00:16:32,560 --> 00:16:35,240 Speaker 1: And so there's something in that algorithm that's giving them that. 357 00:16:35,280 --> 00:16:38,200 Speaker 1: And it may not even be explicitly if you're a 358 00:16:38,200 --> 00:16:40,120 Speaker 1: woman lower, if you're a man higher, But it could 359 00:16:40,160 --> 00:16:42,480 Speaker 1: be something else around patterns or trends that we don't 360 00:16:42,520 --> 00:16:44,600 Speaker 1: even realize. But we don't know that algorithm, so we 361 00:16:44,640 --> 00:16:47,480 Speaker 1: can't say right right now, New York state regulators are 362 00:16:47,480 --> 00:16:51,080 Speaker 1: investigating whether Apple credit cards algorithm is sexist. When we 363 00:16:51,120 --> 00:16:53,320 Speaker 1: come back, we'll talk about how you can make smarter 364 00:16:53,480 --> 00:16:57,320 Speaker 1: financial decisions in twenty twenty and how to evaluate what 365 00:16:57,480 --> 00:17:17,160 Speaker 1: fintech to try. We're back, so how can we make 366 00:17:17,240 --> 00:17:20,160 Speaker 1: smart financial choices in twenty twenty? Is there a way 367 00:17:20,200 --> 00:17:23,800 Speaker 1: to use fintech for our good? According to doctor Mauer, 368 00:17:24,320 --> 00:17:27,359 Speaker 1: you shouldn't rely entirely on technology to get your finances 369 00:17:27,359 --> 00:17:29,800 Speaker 1: back on track. Instead, you should use it as a 370 00:17:29,800 --> 00:17:33,080 Speaker 1: tool part of your larger strategy, and the first step 371 00:17:33,119 --> 00:17:35,159 Speaker 1: of that strategy shouldn't be to download a nap it 372 00:17:35,200 --> 00:17:36,080 Speaker 1: should be to set. 373 00:17:35,880 --> 00:17:39,760 Speaker 5: A goal set for yourself, a realistic goal. And a 374 00:17:39,800 --> 00:17:43,080 Speaker 5: realistic goal might be something like, I'm going to pay 375 00:17:43,080 --> 00:17:46,160 Speaker 5: off twenty percent of my credit card debt this year, right, 376 00:17:46,280 --> 00:17:49,240 Speaker 5: not fifty, not seventy five, not all of it. It's 377 00:17:49,280 --> 00:17:51,879 Speaker 5: gonna pay a twenty percent of it, and then you 378 00:17:51,920 --> 00:17:54,240 Speaker 5: can use those apps to track how you're getting toward 379 00:17:54,320 --> 00:17:54,800 Speaker 5: that goal. 380 00:17:55,400 --> 00:17:58,560 Speaker 3: Having a realistic goal is important because otherwise you can 381 00:17:58,600 --> 00:18:02,040 Speaker 3: get frustrated and just give book. The second step of 382 00:18:02,080 --> 00:18:06,320 Speaker 3: your strategy should be a debt assessment. Pull together all 383 00:18:06,320 --> 00:18:10,280 Speaker 3: of your loans, credit card balances, car loans, student loans, 384 00:18:10,320 --> 00:18:13,520 Speaker 3: all that stuff, and compare their interest rates. 385 00:18:13,480 --> 00:18:17,520 Speaker 5: And start really focusing on those highest interest debts, the 386 00:18:17,600 --> 00:18:21,359 Speaker 5: highest interest credit cards. Pay those off first, right, and 387 00:18:21,400 --> 00:18:24,520 Speaker 5: then work your way down. Don't waste your time going 388 00:18:24,560 --> 00:18:27,480 Speaker 5: all like investing in bitcoin or whatever while you're trying 389 00:18:27,520 --> 00:18:29,840 Speaker 5: to pay off your debt. Right, you're focusing on paying 390 00:18:29,840 --> 00:18:30,600 Speaker 5: off your debt. 391 00:18:30,800 --> 00:18:33,560 Speaker 1: Yes, you have to crawl before you ball, focus on 392 00:18:33,600 --> 00:18:35,960 Speaker 1: your debts before you start investing. 393 00:18:36,240 --> 00:18:39,919 Speaker 3: Yeah, invest in yourself before you're investing in other things. 394 00:18:40,359 --> 00:18:43,080 Speaker 1: So we have a strategy for debt, how should we 395 00:18:43,119 --> 00:18:44,480 Speaker 1: manage the rest of our budgets. 396 00:18:44,680 --> 00:18:47,760 Speaker 5: There's the fifty to thirty twenty budget rule, and this 397 00:18:47,800 --> 00:18:50,040 Speaker 5: is a thing that Elizabeth Warren and her daughter came 398 00:18:50,119 --> 00:18:53,040 Speaker 5: up with, and basically they're like, you should allow yourself 399 00:18:53,119 --> 00:18:56,560 Speaker 5: fifty percent on your actual needs and that's like your rent, 400 00:18:56,600 --> 00:18:59,560 Speaker 5: your mortgage, your food, medicine stuff, that kind of thing. 401 00:19:00,080 --> 00:19:03,280 Speaker 5: And then they say thirty percent on your wants, on 402 00:19:03,320 --> 00:19:06,880 Speaker 5: your desires, and then twenty percent to your savings and 403 00:19:07,119 --> 00:19:09,760 Speaker 5: or paying off your debts. I think that's a pretty 404 00:19:09,760 --> 00:19:11,359 Speaker 5: good rule. The only thing I might do is like 405 00:19:11,440 --> 00:19:15,600 Speaker 5: flip it, flip those last two so that you're allowing yourself, 406 00:19:15,600 --> 00:19:18,600 Speaker 5: you know, twenty percent on your wants and then thirty 407 00:19:18,640 --> 00:19:20,960 Speaker 5: percent on your debts and your savings. 408 00:19:21,320 --> 00:19:24,600 Speaker 3: Even though fintech is about making transactions easier and more 409 00:19:24,640 --> 00:19:28,840 Speaker 3: convenient to help keep our spending under control, doctor Maer 410 00:19:28,960 --> 00:19:32,679 Speaker 3: suggests that we make things harder for ourselves. So don't 411 00:19:32,800 --> 00:19:36,040 Speaker 3: have it so that your information, your credit card information 412 00:19:36,160 --> 00:19:39,399 Speaker 3: auto populates in Amazon or anything like that. Make it 413 00:19:39,440 --> 00:19:41,919 Speaker 3: so that you have to physically put it in every 414 00:19:41,960 --> 00:19:43,000 Speaker 3: single time. 415 00:19:42,920 --> 00:19:45,320 Speaker 5: And that's going to create a tiny little mental speed 416 00:19:45,320 --> 00:19:47,439 Speaker 5: bump so that you think about it just for like 417 00:19:47,480 --> 00:19:50,640 Speaker 5: ten more seconds. Anything you can do to slow yourself 418 00:19:50,720 --> 00:19:52,359 Speaker 5: down is going to help. 419 00:19:52,920 --> 00:19:56,080 Speaker 1: So now, if my information doesn't auto populate on my 420 00:19:56,119 --> 00:19:58,520 Speaker 1: iPhone when I'm searching in the night, I'm going to 421 00:19:58,600 --> 00:20:02,280 Speaker 1: have to message you and say, hey, here's this link. 422 00:20:02,760 --> 00:20:05,200 Speaker 1: Can you buy this for me? I'll venmo you tomorrow. 423 00:20:05,440 --> 00:20:09,360 Speaker 3: We're like, okay, sure, my stuff is still stored, you're 424 00:20:09,400 --> 00:20:10,280 Speaker 3: not gonna take it out. 425 00:20:10,920 --> 00:20:13,639 Speaker 2: Doctor Marra actually said that that's a good idea. 426 00:20:13,760 --> 00:20:16,119 Speaker 5: Even that I think is better. Right if you do 427 00:20:16,200 --> 00:20:19,280 Speaker 5: a thing of like, you know, hey, T T, can 428 00:20:19,320 --> 00:20:21,560 Speaker 5: you buy me this thing? I'll venmo you, and then 429 00:20:21,600 --> 00:20:24,119 Speaker 5: you're spending all that time texting, and then TT is 430 00:20:24,160 --> 00:20:26,600 Speaker 5: like what does Seqi really need that? And then maybe 431 00:20:26,640 --> 00:20:28,960 Speaker 5: TT's like do you really need that? And Seki is 432 00:20:29,000 --> 00:20:30,600 Speaker 5: like yes, Like shut up, give me the thing that 433 00:20:30,640 --> 00:20:33,760 Speaker 5: I need and I'll venmo you. You're putting more space, right, 434 00:20:33,760 --> 00:20:36,960 Speaker 5: You're putting more time and more thought and hopefully a 435 00:20:37,040 --> 00:20:40,000 Speaker 5: tiny bit more intentionality into that purchase before you make it. 436 00:20:40,400 --> 00:20:42,920 Speaker 5: And you've also done another thing right, You've built in 437 00:20:42,960 --> 00:20:45,760 Speaker 5: some accountability because now your friend knows the stupid things 438 00:20:45,800 --> 00:20:46,879 Speaker 5: that you're buying with your money. 439 00:20:47,160 --> 00:20:49,920 Speaker 1: I think I'll make really great purchases. So if TT 440 00:20:50,000 --> 00:20:52,160 Speaker 1: says it's stupid, I'm gonna say, you're not thinking about 441 00:20:52,200 --> 00:20:55,440 Speaker 1: this in the right way. Let me add some perspective and. 442 00:20:55,400 --> 00:20:57,359 Speaker 3: Then I'll have a long conversation and maybe by the 443 00:20:57,440 --> 00:21:00,119 Speaker 3: end of that you won't want it anymore. So, when 444 00:21:00,119 --> 00:21:02,200 Speaker 3: you're ready to use fintech as a tool in your 445 00:21:02,200 --> 00:21:05,680 Speaker 3: financial strategy, how do you evaluate which one to go with? 446 00:21:06,640 --> 00:21:09,800 Speaker 3: There are two big things to consider. One is fees. 447 00:21:10,160 --> 00:21:12,960 Speaker 3: Some apps make a profit by charging you to use 448 00:21:13,000 --> 00:21:16,360 Speaker 3: their services, and those fees can add up, so read 449 00:21:16,359 --> 00:21:20,160 Speaker 3: the terms and conditions carefully. The other thing to research 450 00:21:20,200 --> 00:21:22,480 Speaker 3: closely is the company's customer service. 451 00:21:22,760 --> 00:21:25,760 Speaker 5: If there's no easy way to communicate with an app, 452 00:21:25,920 --> 00:21:28,040 Speaker 5: or you have a question and you can't get it answered, 453 00:21:28,280 --> 00:21:30,960 Speaker 5: that's a big red flag, right If you can't pick 454 00:21:31,040 --> 00:21:33,120 Speaker 5: up the phone and call someone, or you can't get 455 00:21:33,119 --> 00:21:36,639 Speaker 5: into a little you know, in a chat box and 456 00:21:36,680 --> 00:21:39,320 Speaker 5: talk to someone, or there's no way to email them, 457 00:21:39,720 --> 00:21:42,320 Speaker 5: then I'd be a little bit concerned. 458 00:21:42,720 --> 00:21:45,719 Speaker 1: Ultimately, fintech is supposed to work for you, and if 459 00:21:45,720 --> 00:21:47,880 Speaker 1: it's not, you can always go old school. There's no 460 00:21:48,000 --> 00:21:49,240 Speaker 1: shame in ditching the tech. 461 00:21:49,480 --> 00:21:52,680 Speaker 5: Sometimes it's actually easier for people to save with cash. 462 00:21:52,880 --> 00:21:56,120 Speaker 5: Have that material cash in a drawer, lock it up, 463 00:21:56,200 --> 00:21:58,680 Speaker 5: don't go in there, don't look at it, only think 464 00:21:58,680 --> 00:22:01,120 Speaker 5: about it, you know, on Paige. And then when there's 465 00:22:01,119 --> 00:22:03,280 Speaker 5: a big chunk of it and it's making making you 466 00:22:03,320 --> 00:22:05,880 Speaker 5: nervous or making you twitch, just take it to the bank. 467 00:22:06,440 --> 00:22:10,440 Speaker 1: One of my favorite things is to use cash. Oh, 468 00:22:10,600 --> 00:22:12,440 Speaker 1: I don't even know what that looks like anymore. I'm 469 00:22:12,440 --> 00:22:14,359 Speaker 1: sure you don't. It is all digital. 470 00:22:15,200 --> 00:22:17,520 Speaker 3: I don't care cash I don't have. I don't have 471 00:22:17,560 --> 00:22:19,640 Speaker 3: a quarter, I don't have a nickel, I don't got 472 00:22:19,680 --> 00:22:20,160 Speaker 3: none of it. 473 00:22:20,240 --> 00:22:22,480 Speaker 1: I'm always a friend that has some cash, you know. 474 00:22:22,520 --> 00:22:24,000 Speaker 1: I like to start out and say, this is how 475 00:22:24,080 --> 00:22:30,040 Speaker 1: much cash I have for just ridiculous purchases. This is 476 00:22:30,080 --> 00:22:34,359 Speaker 1: my cash for whole foods, for coffee, for a soft drink, like, 477 00:22:34,800 --> 00:22:38,320 Speaker 1: this is my cash for that. And when that's done, 478 00:22:38,400 --> 00:22:39,960 Speaker 1: that's it. There's no more. 479 00:22:40,000 --> 00:22:42,800 Speaker 3: I would run into issues because I once it runs out, 480 00:22:42,840 --> 00:22:44,920 Speaker 3: then my brain will be like, you need it now, 481 00:22:47,440 --> 00:22:49,960 Speaker 3: now you really need that coke and exactly, and I'd 482 00:22:50,000 --> 00:22:51,840 Speaker 3: be like, well, I need a Coca Cola. 483 00:22:52,200 --> 00:22:55,560 Speaker 2: I know I'm out of my cash, but I have 484 00:22:55,680 --> 00:22:56,400 Speaker 2: this card. 485 00:22:57,760 --> 00:22:59,960 Speaker 1: Well, then my strategy wouldn't work for you. And that's okay. 486 00:23:00,119 --> 00:23:05,960 Speaker 1: That's the thing to remember. Everything ain't for everybody. That's 487 00:23:06,000 --> 00:23:09,359 Speaker 1: a good conclusion for this episode. Yes, do what works 488 00:23:09,400 --> 00:23:11,879 Speaker 1: for you, and for some of y'all, in order to 489 00:23:11,880 --> 00:23:13,440 Speaker 1: find out what works for you, you might have to 490 00:23:13,440 --> 00:23:15,320 Speaker 1: spend a little time looking in the mirror. You have 491 00:23:15,359 --> 00:23:19,240 Speaker 1: to say, what is my weak spot? Is it wingstop 492 00:23:19,280 --> 00:23:20,800 Speaker 1: on Fridays for limon pepper wings? 493 00:23:21,080 --> 00:23:23,400 Speaker 2: Those are delicious? 494 00:23:24,080 --> 00:23:28,760 Speaker 3: Is it a double impossible whopper tt? Yes? And all 495 00:23:28,800 --> 00:23:31,439 Speaker 3: of my weaknesses our food I'm finding. But guess what 496 00:23:31,520 --> 00:23:33,280 Speaker 3: twenty twenty we eat and what we have at home. 497 00:23:33,359 --> 00:23:34,760 Speaker 3: That's what I said I would do, and that's what 498 00:23:34,800 --> 00:23:35,399 Speaker 3: I'm gonna do. 499 00:23:35,480 --> 00:23:38,639 Speaker 1: So I'm going heavy veggie. I mean, you know I 500 00:23:38,640 --> 00:23:39,560 Speaker 1: eat a lot of support. 501 00:23:39,920 --> 00:23:44,480 Speaker 3: Yes, my friend she loves an herb, she loves lentils, 502 00:23:44,000 --> 00:23:46,640 Speaker 3: and she loves a green leafy greens are the way 503 00:23:46,680 --> 00:23:48,720 Speaker 3: to go. And so I know that my. 504 00:23:48,760 --> 00:23:53,520 Speaker 1: Weak spots are clothes and food. And it's not even 505 00:23:53,560 --> 00:23:55,880 Speaker 1: food like grocery store food. It's like going out to eat. 506 00:23:56,400 --> 00:23:59,879 Speaker 1: If you say at seven forty five, can you meet 507 00:23:59,920 --> 00:24:03,280 Speaker 1: me at eight thirty four? Oysters Yes I can every time, 508 00:24:03,359 --> 00:24:05,919 Speaker 1: whether I had it on, whether whether it was my 509 00:24:06,040 --> 00:24:09,240 Speaker 1: plan or not. Yes I can. And so I want 510 00:24:09,240 --> 00:24:10,600 Speaker 1: to think a little bit more. I want to be 511 00:24:10,640 --> 00:24:13,000 Speaker 1: able to put a road bump or a speed bump 512 00:24:13,640 --> 00:24:15,440 Speaker 1: between me and old abbit. 513 00:24:15,680 --> 00:24:19,560 Speaker 2: I always fall victim to ads on social media. Really 514 00:24:19,560 --> 00:24:21,720 Speaker 2: they are so good, they really know me. 515 00:24:22,200 --> 00:24:25,560 Speaker 3: So what I've been doing is when I see an AD, 516 00:24:26,240 --> 00:24:29,600 Speaker 3: I'll say no, I'll say remove this ad. It is 517 00:24:29,680 --> 00:24:32,240 Speaker 3: not relevant. And so I won't see it over and 518 00:24:32,280 --> 00:24:34,119 Speaker 3: over and over again, because that's another thing that gets me. 519 00:24:34,119 --> 00:24:36,280 Speaker 3: If I see an AD three or four times, I'm like, okay, 520 00:24:36,280 --> 00:24:38,879 Speaker 3: well I needed. Then one of my strategies that's been 521 00:24:38,920 --> 00:24:41,520 Speaker 3: working for me for shopping is I will put all 522 00:24:41,520 --> 00:24:42,680 Speaker 3: this stuff in my shopping cart. 523 00:24:42,920 --> 00:24:44,440 Speaker 1: Oh yes, I like this. I'm going to get it 524 00:24:44,480 --> 00:24:46,119 Speaker 1: down to an even number. I need to get it 525 00:24:46,160 --> 00:24:49,240 Speaker 1: down to under this amount. Right, If it's three hundred 526 00:24:49,240 --> 00:24:50,679 Speaker 1: dollars in my shopping cart, I need to get it 527 00:24:50,680 --> 00:24:53,560 Speaker 1: down to two hundred, always one hundred lower, which is 528 00:24:53,600 --> 00:24:56,719 Speaker 1: already the wrong scale to be shopping on. And then 529 00:24:56,760 --> 00:24:58,040 Speaker 1: the next thing I do is just leave it in 530 00:24:58,040 --> 00:24:59,840 Speaker 1: the car. I can't buy it that day, leave it 531 00:25:00,040 --> 00:25:01,600 Speaker 1: I opened a new tab on top of it, and 532 00:25:01,800 --> 00:25:03,760 Speaker 1: at the rate that I open tabs, sometimes I'm thirty 533 00:25:03,760 --> 00:25:05,320 Speaker 1: tabs deep and I forget about that stuff. 534 00:25:05,640 --> 00:25:08,600 Speaker 3: And if I forgot about it, I didn't need it exactly, 535 00:25:08,600 --> 00:25:11,040 Speaker 3: I didn't need it. Yeah, sometimes you just need a 536 00:25:11,080 --> 00:25:13,120 Speaker 3: good night sleep in between putting it in your cart 537 00:25:13,240 --> 00:25:14,880 Speaker 3: and hitting complete purchase. 538 00:25:15,080 --> 00:25:17,479 Speaker 1: And that saved me so many times. I logged in 539 00:25:17,520 --> 00:25:19,120 Speaker 1: the other day on anthropology. Do you know how many 540 00:25:19,160 --> 00:25:21,840 Speaker 1: campbells popped up in that shop of part? All Right, 541 00:25:21,880 --> 00:25:23,960 Speaker 1: that's it for Lab twenty one. Don't forget to check 542 00:25:23,960 --> 00:25:26,359 Speaker 1: out our website for a cheat sheet on today's episode. 543 00:25:26,440 --> 00:25:28,640 Speaker 1: You can find it and sign up for our newsletter 544 00:25:28,640 --> 00:25:30,760 Speaker 1: at Dope Labs podcast dot com. 545 00:25:30,800 --> 00:25:33,560 Speaker 3: Also, we love hearing from you. What do you think 546 00:25:33,560 --> 00:25:36,600 Speaker 3: about today's lab? What are your ideas for future labs? 547 00:25:36,600 --> 00:25:39,880 Speaker 3: Our number is two O two five six seven seven 548 00:25:40,000 --> 00:25:41,400 Speaker 3: zero two eight Call us. 549 00:25:41,440 --> 00:25:43,560 Speaker 1: You can also find us on Twitter and Instagram at 550 00:25:43,600 --> 00:25:47,760 Speaker 1: Dope Labs Podcasts, tt is on Twitter at dr Underscore 551 00:25:47,840 --> 00:25:49,240 Speaker 1: t Sho. 552 00:25:48,960 --> 00:25:52,760 Speaker 2: And you can find Zakia at z Said So. 553 00:25:52,280 --> 00:25:55,160 Speaker 1: Follow us on Spotify or wherever you listen to podcasts. 554 00:25:55,680 --> 00:25:58,320 Speaker 1: Special thanks to our guest doctor Bill Mauer. We'll link 555 00:25:58,359 --> 00:26:00,879 Speaker 1: to his website in our show notes. This episode of 556 00:26:00,880 --> 00:26:03,240 Speaker 1: Dope Labs is produced by Jenny Ratlet Mass of Wave 557 00:26:03,320 --> 00:26:06,719 Speaker 1: Runner Studios and Elizabeth Nikano. Mixing and sound designed by 558 00:26:06,720 --> 00:26:09,280 Speaker 1: Hannis Brown, Special thanks to roy Hurst. 559 00:26:09,440 --> 00:26:13,080 Speaker 3: The original theme music is by Taka Yasuzawa and Alex 560 00:26:13,119 --> 00:26:17,200 Speaker 3: Sugi Eurra, with additional music by Elijah Alex Harvey. 561 00:26:17,560 --> 00:26:20,320 Speaker 1: Dope Labs is a production of Spotify Studios and Mega 562 00:26:20,320 --> 00:26:23,320 Speaker 1: Owned Media Group, and it's executive produced by us T. T. 563 00:26:23,440 --> 00:26:30,840 Speaker 1: Shadia and Zakiah Wattley. My favorite exercise is dinner parties. 564 00:26:33,000 --> 00:26:36,720 Speaker 1: I like to shuffle things around. Chop yes, pick a 565 00:26:37,160 --> 00:26:38,560 Speaker 1: pull down the oven, pull out? 566 00:26:38,640 --> 00:26:39,920 Speaker 2: You want to do that exercise today? 567 00:26:42,440 --> 00:26:43,800 Speaker 1: If you have the food, I'm happy to