1 00:00:00,320 --> 00:00:03,120 Speaker 1: Welcome to How the Money. I'm Joel and I and Matt, 2 00:00:03,360 --> 00:00:08,120 Speaker 1: and today we're discussing how AI can hurt your finances, joke, cryptocurrencies, 3 00:00:08,440 --> 00:00:29,400 Speaker 1: and when yellow is a good thing. Yeah, dude, we've 4 00:00:29,400 --> 00:00:32,279 Speaker 1: talked about yellow before, how oftentimes it's a bad thing. 5 00:00:32,320 --> 00:00:34,840 Speaker 1: We're gonna talk about today how it's a good thing. 6 00:00:35,200 --> 00:00:36,839 Speaker 1: And we've got several other stories that we want to 7 00:00:36,880 --> 00:00:38,800 Speaker 1: get to this week that we came across for our 8 00:00:38,840 --> 00:00:42,879 Speaker 1: Friday flight. How do I sound, by the way, the 9 00:00:42,960 --> 00:00:45,800 Speaker 1: allergies have been destroying me. I just cleared my throat 10 00:00:45,920 --> 00:00:48,440 Speaker 1: like a thousand times before we hit record here. I 11 00:00:48,520 --> 00:00:50,080 Speaker 1: took a couple of hits of my nose bray, so 12 00:00:50,080 --> 00:00:51,519 Speaker 1: I can actually breathe now, but I still got a 13 00:00:51,520 --> 00:00:53,760 Speaker 1: bunch of junk in my throat. So hopefully we can 14 00:00:53,800 --> 00:00:55,680 Speaker 1: make it through this one man. Let's hope. So yeah, 15 00:00:55,680 --> 00:00:58,440 Speaker 1: So you've got a note here about free mulch. What's 16 00:00:58,480 --> 00:01:01,120 Speaker 1: the story? All right? So, just in our Facebook group, 17 00:01:01,200 --> 00:01:04,240 Speaker 1: he recently recommended to folks to check out this website, 18 00:01:04,319 --> 00:01:07,760 Speaker 1: chip Drop, and I hadn't heard of it, but um, 19 00:01:07,800 --> 00:01:09,720 Speaker 1: I was like, all right, let let me see what 20 00:01:09,760 --> 00:01:12,560 Speaker 1: this this site has to offer, and Basically, it's a 21 00:01:12,600 --> 00:01:16,000 Speaker 1: site where arborists can drop off like wood chips or 22 00:01:16,160 --> 00:01:20,000 Speaker 1: logs at your house and you don't pay a dime. Um, 23 00:01:20,040 --> 00:01:21,560 Speaker 1: And so yeah, it's the kind of stuff that they 24 00:01:21,560 --> 00:01:23,680 Speaker 1: need to get rid of. Right. But if you're looking 25 00:01:23,720 --> 00:01:26,320 Speaker 1: for mults for the front yard or some logs for splitting, 26 00:01:26,640 --> 00:01:28,760 Speaker 1: so you've got wood for your wood burning stove, the 27 00:01:28,840 --> 00:01:30,800 Speaker 1: next winner that sounds like me, dude, is the place 28 00:01:30,840 --> 00:01:32,720 Speaker 1: to get it from. Yeah, did we not talk about 29 00:01:32,760 --> 00:01:35,000 Speaker 1: this on the show? Our our friend Colin He actually 30 00:01:35,200 --> 00:01:37,800 Speaker 1: he tried this out last year. Uh. And the only 31 00:01:37,880 --> 00:01:40,440 Speaker 1: thing like he did the giant wood deposit and so 32 00:01:40,520 --> 00:01:43,000 Speaker 1: he got a bunch of huge rounds that were cut. 33 00:01:43,480 --> 00:01:45,720 Speaker 1: But you have to be willing to accept a ton 34 00:01:45,800 --> 00:01:48,120 Speaker 1: of it like that's there's like no limit. You can't 35 00:01:48,120 --> 00:01:50,080 Speaker 1: be like, um, can you stop at this amount? Like 36 00:01:50,120 --> 00:01:52,520 Speaker 1: they can unload so much. It's in the same thing 37 00:01:52,520 --> 00:01:53,960 Speaker 1: with mults. If they pull up, I mean they're just 38 00:01:53,960 --> 00:01:57,040 Speaker 1: gonna dump like a buttload of mults on your driveway 39 00:01:57,080 --> 00:02:00,200 Speaker 1: and you might have I mean literally this massive all 40 00:02:00,280 --> 00:02:02,200 Speaker 1: that you're gonna have to get your friends to haul 41 00:02:02,240 --> 00:02:04,600 Speaker 1: off in their wheelbarrows, spread it all around your backyard. 42 00:02:04,680 --> 00:02:06,600 Speaker 1: You're gonna have like twice as many beds as maybe 43 00:02:06,640 --> 00:02:08,440 Speaker 1: you thought you're gonna have. I was gonna say you 44 00:02:08,520 --> 00:02:10,200 Speaker 1: might want to do it with your neighbors and not 45 00:02:10,240 --> 00:02:12,720 Speaker 1: trying to do it solo. Oh yeah, yeah, definitely. But yeah, 46 00:02:12,880 --> 00:02:15,640 Speaker 1: I did not know that they actually do rounds, you know, 47 00:02:15,680 --> 00:02:18,200 Speaker 1: like sections from a tree cut, And so I don't 48 00:02:18,200 --> 00:02:19,359 Speaker 1: have a need for it right now. I've got a 49 00:02:19,360 --> 00:02:22,040 Speaker 1: good stockpile. But dude, yeah, sometime this summer, I'm gonna 50 00:02:22,360 --> 00:02:25,240 Speaker 1: download that app make sure that I've got enough wood 51 00:02:25,360 --> 00:02:27,320 Speaker 1: lined up for me to get split in next fall 52 00:02:27,320 --> 00:02:29,400 Speaker 1: off for the woodstove. I just hope they don't drop 53 00:02:29,440 --> 00:02:31,840 Speaker 1: off these like seriously, he had some that were so 54 00:02:31,919 --> 00:02:34,239 Speaker 1: big he had he had to go out and buy 55 00:02:34,280 --> 00:02:37,280 Speaker 1: like some special wedges in order to actually split these 56 00:02:37,560 --> 00:02:39,840 Speaker 1: these things. I mean they're like the bottom section I 57 00:02:39,880 --> 00:02:42,320 Speaker 1: guess of a tree where it took some serious muscle 58 00:02:42,440 --> 00:02:44,440 Speaker 1: to like to split this apart. But he was able 59 00:02:44,480 --> 00:02:46,040 Speaker 1: to do that, and now he has plenty of wood 60 00:02:46,040 --> 00:02:48,919 Speaker 1: on hand. Beggars can't be choosers on chip drop, but 61 00:02:49,800 --> 00:02:52,480 Speaker 1: but some folks, yeah, I might find that interesting. Willing 62 00:02:52,520 --> 00:02:54,240 Speaker 1: to in the show notes, dude and I love too 63 00:02:54,320 --> 00:02:56,520 Speaker 1: that it's like you're you're making use of waste right 64 00:02:56,560 --> 00:02:58,720 Speaker 1: like this essentially for the arborst this is something that 65 00:02:58,760 --> 00:03:00,360 Speaker 1: I mean, I assume that they have to get rid 66 00:03:00,400 --> 00:03:01,720 Speaker 1: of and they have to pay to get rid of 67 00:03:01,720 --> 00:03:03,400 Speaker 1: it if they don't have somebody that they can take 68 00:03:03,400 --> 00:03:04,600 Speaker 1: it to, right, I mean, if they're just going to 69 00:03:04,680 --> 00:03:06,280 Speaker 1: take it to the to the dump, keeps it out 70 00:03:06,280 --> 00:03:09,080 Speaker 1: of the landfills. And when so many of us go 71 00:03:09,160 --> 00:03:11,600 Speaker 1: to a hardware store to buy multi it just seems 72 00:03:11,639 --> 00:03:13,920 Speaker 1: like the perfect system for like three dollars for a 73 00:03:13,919 --> 00:03:16,760 Speaker 1: tiny bag, yes, exactly, as opposed to just an endless 74 00:03:16,760 --> 00:03:19,600 Speaker 1: supply for you and all of your neighbors exactly. Yeah, 75 00:03:19,600 --> 00:03:21,280 Speaker 1: it's pretty sweet. I love it all Right, let's get 76 00:03:21,280 --> 00:03:23,560 Speaker 1: onto the stories we found interesting this week. Our Friday 77 00:03:23,600 --> 00:03:26,720 Speaker 1: flight and Matt the first story I wanted to touch on. 78 00:03:26,760 --> 00:03:29,320 Speaker 1: I thought this was interesting. The New York Times had 79 00:03:29,360 --> 00:03:31,880 Speaker 1: an interesting article and they wrote about what they called 80 00:03:31,919 --> 00:03:35,560 Speaker 1: the Yolo economy. And I'm gonna define this term again 81 00:03:35,720 --> 00:03:38,160 Speaker 1: just for our listeners who don't know what yolo means. 82 00:03:38,320 --> 00:03:41,160 Speaker 1: You only live once, and yolo is not our favorite 83 00:03:41,200 --> 00:03:44,040 Speaker 1: acronym because it often means that that people are living 84 00:03:44,160 --> 00:03:46,800 Speaker 1: for today, right, You only live once, Like, go ahead, 85 00:03:47,440 --> 00:03:49,680 Speaker 1: blow it out, spend as much as you can. Don't 86 00:03:49,720 --> 00:03:51,680 Speaker 1: even think about the future at all. And that's not 87 00:03:51,720 --> 00:03:53,960 Speaker 1: a great mentality, right, Um. That could lead you to 88 00:03:54,040 --> 00:03:56,560 Speaker 1: spending all of what you make or maybe even more. 89 00:03:57,640 --> 00:04:00,680 Speaker 1: But then one little emergency comes a long and it 90 00:04:00,720 --> 00:04:02,720 Speaker 1: messes you up in a big way. That kind of 91 00:04:02,800 --> 00:04:05,480 Speaker 1: yellow is not good, so I thought, Matt, when I 92 00:04:05,480 --> 00:04:07,040 Speaker 1: clicked on this headline, I was like, this is gonna 93 00:04:07,040 --> 00:04:09,480 Speaker 1: irritate me. I'm not gonna dig the yellow economy that 94 00:04:09,520 --> 00:04:12,480 Speaker 1: The New York Times is profiling, but actually did the opposite, 95 00:04:12,480 --> 00:04:16,599 Speaker 1: because it detailed people who are making significant changes to 96 00:04:16,640 --> 00:04:20,520 Speaker 1: their lives because their priorities have shifted because of the pandemic, 97 00:04:20,839 --> 00:04:23,160 Speaker 1: and that I thought was something that you and I 98 00:04:23,200 --> 00:04:26,000 Speaker 1: could get behind. It seemed like people were making really 99 00:04:26,000 --> 00:04:30,040 Speaker 1: positive steps. They weren't going on a yellow spending binge. Necessarily, 100 00:04:30,279 --> 00:04:32,599 Speaker 1: what they were doing was shaking things up about what 101 00:04:32,640 --> 00:04:34,840 Speaker 1: their day to day lives looked like, and in large 102 00:04:34,880 --> 00:04:37,120 Speaker 1: part because of the impact that COVID had on them. Yeah, 103 00:04:37,200 --> 00:04:40,080 Speaker 1: using yellow to justify poor spending, that's a bad idea. 104 00:04:40,200 --> 00:04:42,720 Speaker 1: But but using yellow to kind of re examine your 105 00:04:42,760 --> 00:04:44,239 Speaker 1: life and how it is that you're spending your time. 106 00:04:44,720 --> 00:04:46,839 Speaker 1: Is Yeah, like you said something we can totally get behind, 107 00:04:46,839 --> 00:04:48,560 Speaker 1: and we feel that you should be making these gonna 108 00:04:48,640 --> 00:04:51,200 Speaker 1: changes in your life, you know, because of something like 109 00:04:51,200 --> 00:04:54,080 Speaker 1: the pandemic. You know, like through gosh, you know, the 110 00:04:54,120 --> 00:04:56,600 Speaker 1: awfulness of it. There is a silver lining, and that's 111 00:04:56,640 --> 00:04:58,880 Speaker 1: that many of us can and probably should be shaking 112 00:04:58,880 --> 00:05:02,400 Speaker 1: things up somehow. Right. If we don't learn something about ourselves, 113 00:05:02,760 --> 00:05:05,560 Speaker 1: uh and our priorities, then this would be a wasted 114 00:05:05,560 --> 00:05:07,320 Speaker 1: opportunity that we've lived through the you know, over the 115 00:05:07,360 --> 00:05:10,240 Speaker 1: past year. A few recent surveys show that somewhere between, 116 00:05:10,279 --> 00:05:13,840 Speaker 1: like folks are thinking about leaving their job this year, 117 00:05:13,880 --> 00:05:15,840 Speaker 1: about switching it up, and that's okay. We feel that 118 00:05:15,839 --> 00:05:18,359 Speaker 1: that's healthy, and so we want to encourage folks to 119 00:05:18,400 --> 00:05:20,839 Speaker 1: not live the yellow life where you don't plan for 120 00:05:20,839 --> 00:05:23,240 Speaker 1: your future, but do live the yellow life in the 121 00:05:23,279 --> 00:05:25,839 Speaker 1: sense that you only have one life to live and 122 00:05:26,000 --> 00:05:29,160 Speaker 1: you know, getting out of maybe a stressful work situation, uh, 123 00:05:29,200 --> 00:05:32,039 Speaker 1: even accepting less pay. This can be the right move 124 00:05:32,080 --> 00:05:34,600 Speaker 1: if it means that you're able to enjoy your life 125 00:05:34,680 --> 00:05:37,480 Speaker 1: more and spend more time with the folks that matter 126 00:05:37,600 --> 00:05:39,599 Speaker 1: most to you. Yeah, one of the people profiled in 127 00:05:39,600 --> 00:05:42,240 Speaker 1: that article was a lawyer who's working way too many 128 00:05:42,240 --> 00:05:44,719 Speaker 1: hours and he ended up ditching that job and going 129 00:05:44,720 --> 00:05:48,160 Speaker 1: to work for a neighborhood firm essentially, and he was, yeah, 130 00:05:48,160 --> 00:05:50,680 Speaker 1: his next door neighbor, Yeah, literally his neighbor yet and 131 00:05:50,680 --> 00:05:52,440 Speaker 1: he's like, I can spend more time with my wife 132 00:05:52,520 --> 00:05:54,560 Speaker 1: and my dog now, and this is great. And so, yeah, 133 00:05:54,560 --> 00:05:57,159 Speaker 1: those are the kind of decisions we think our good decisions. 134 00:05:57,200 --> 00:06:00,560 Speaker 1: Money is not everything you really do only of once, 135 00:06:00,640 --> 00:06:04,200 Speaker 1: and so you don't live for today alone, right, we 136 00:06:04,240 --> 00:06:07,320 Speaker 1: want you to plan accordingly, but making changes based on 137 00:06:07,440 --> 00:06:09,840 Speaker 1: how this year went and based on the new priorities 138 00:06:09,839 --> 00:06:11,560 Speaker 1: that you have is a good thing. All right, Let's 139 00:06:11,600 --> 00:06:14,400 Speaker 1: talk about financial literacy for a second. You know, you 140 00:06:14,440 --> 00:06:16,640 Speaker 1: and I are big proponents of financial literacy. We we 141 00:06:16,640 --> 00:06:19,799 Speaker 1: feel like financial education in this country is sorely lacking. 142 00:06:20,320 --> 00:06:22,719 Speaker 1: But it looks like there might be more financial literacy 143 00:06:22,760 --> 00:06:25,039 Speaker 1: help on the way, and I hope so. Again in 144 00:06:25,040 --> 00:06:26,880 Speaker 1: the New York Times, they were in an article and 145 00:06:26,920 --> 00:06:29,960 Speaker 1: it turns out that almost half of states in the 146 00:06:30,040 --> 00:06:34,400 Speaker 1: US are weighing the prospect of increased financial education in schools, 147 00:06:34,400 --> 00:06:36,839 Speaker 1: like there are bills on the table that might come 148 00:06:36,839 --> 00:06:40,719 Speaker 1: to pass, um how many that's anyone's guests, local politics, 149 00:06:40,920 --> 00:06:43,159 Speaker 1: You never know what's going to happen there. But one 150 00:06:43,200 --> 00:06:46,640 Speaker 1: thing is clear. Kids are being done a massive disservice 151 00:06:46,760 --> 00:06:50,880 Speaker 1: these days by not being taught essentially anything about personal finance. 152 00:06:51,000 --> 00:06:52,880 Speaker 1: During the years that they spend in school, they learn 153 00:06:52,920 --> 00:06:54,839 Speaker 1: a lot of things that they're never going to use again, 154 00:06:54,880 --> 00:06:56,160 Speaker 1: but one of the things that they're going to use 155 00:06:56,560 --> 00:06:59,560 Speaker 1: essentially every day, they hear nothing about. And that's a 156 00:06:59,560 --> 00:07:01,200 Speaker 1: big prop and we just wanted to point out. You 157 00:07:01,240 --> 00:07:03,520 Speaker 1: can listen to episode ninety eight where we talked to 158 00:07:03,680 --> 00:07:07,080 Speaker 1: Dan LaSalle. He's been really inspirational to us in his 159 00:07:07,160 --> 00:07:10,200 Speaker 1: financial literacy endeavors. And then too, if you're just looking 160 00:07:10,200 --> 00:07:12,760 Speaker 1: for a resource to point people to, whether it's young 161 00:07:12,840 --> 00:07:17,000 Speaker 1: people or adult, there's a YouTube channel called money Coach 162 00:07:17,240 --> 00:07:19,920 Speaker 1: dot io and well, we'll link to their website, but 163 00:07:20,000 --> 00:07:23,640 Speaker 1: they have great videos that are simple to understand, that 164 00:07:23,680 --> 00:07:26,440 Speaker 1: are pretty short, that have already helped and can continue 165 00:07:26,480 --> 00:07:28,560 Speaker 1: to help a lot of people learn about the basics 166 00:07:28,600 --> 00:07:31,320 Speaker 1: of personal finance for free. That's right, dude, Let's talk 167 00:07:31,360 --> 00:07:34,600 Speaker 1: about investing specifically, let's talk about e s G funds, 168 00:07:34,600 --> 00:07:39,600 Speaker 1: which stands for Environmental social governance funds. And Jason, I 169 00:07:39,600 --> 00:07:41,640 Speaker 1: don't know how to say his last name is Wig's, right, 170 00:07:41,960 --> 00:07:44,480 Speaker 1: That's how i'd say it. With the Wall Street Journal, 171 00:07:44,600 --> 00:07:47,640 Speaker 1: he took socially conscious investing to task this week. Uh, 172 00:07:47,760 --> 00:07:50,520 Speaker 1: you know, and we've talked about responsible investing on the 173 00:07:50,520 --> 00:07:52,600 Speaker 1: show a few times, and I gotta say, we we 174 00:07:52,640 --> 00:07:55,800 Speaker 1: agree with Mrs Wagg's take. And it's not that socially 175 00:07:55,920 --> 00:07:59,000 Speaker 1: responsible investing is a bad thing because the desire for 176 00:07:59,040 --> 00:08:00,920 Speaker 1: folks to invest in come these that don't pollute the 177 00:08:00,960 --> 00:08:04,080 Speaker 1: planet in a major way, or companies, you know, who 178 00:08:04,120 --> 00:08:06,560 Speaker 1: have a meaningful mission, like that's a great thing. But 179 00:08:06,840 --> 00:08:10,760 Speaker 1: E s G funds have just different ways of differentiating 180 00:08:10,960 --> 00:08:14,760 Speaker 1: which companies don't include in their sustainable funds. Basically, just 181 00:08:14,800 --> 00:08:16,640 Speaker 1: because the fund is labeled e s G or quote 182 00:08:16,680 --> 00:08:19,840 Speaker 1: unquote sustainable, that doesn't mean that it actually is. It's 183 00:08:19,920 --> 00:08:22,760 Speaker 1: up to the different fund managers to decide what goes 184 00:08:22,800 --> 00:08:25,240 Speaker 1: in that E s G fund. There aren't any standards, 185 00:08:25,280 --> 00:08:27,360 Speaker 1: you know. Essentially, it's kind of like beauty is in 186 00:08:27,360 --> 00:08:29,400 Speaker 1: the eye of the beholder, and the beholder here is 187 00:08:29,440 --> 00:08:31,680 Speaker 1: the fund manager, and it's up to them to decide 188 00:08:31,840 --> 00:08:33,560 Speaker 1: what is and what isn't going to be included as 189 00:08:33,559 --> 00:08:35,760 Speaker 1: part of their E s G fund. And this actually 190 00:08:35,800 --> 00:08:37,680 Speaker 1: makes me think of so your you mentioned chip Drop 191 00:08:37,720 --> 00:08:39,559 Speaker 1: at the beginning of the episode. It makes me think 192 00:08:39,559 --> 00:08:41,439 Speaker 1: back to when I was considering buying some wood from 193 00:08:41,440 --> 00:08:44,920 Speaker 1: some local sellers of firewood, and what they're selling is 194 00:08:44,960 --> 00:08:47,800 Speaker 1: a chord quote unquote, a chord of wood. But here's 195 00:08:47,800 --> 00:08:49,679 Speaker 1: the thing, it's up to them to decide what a 196 00:08:49,760 --> 00:08:51,880 Speaker 1: chord of what is because they're just piling in the 197 00:08:51,920 --> 00:08:54,480 Speaker 1: back of their Cholice wondered what a chord actually equates to, 198 00:08:54,640 --> 00:08:57,280 Speaker 1: and I know that there's like a actual definition, but 199 00:08:57,320 --> 00:09:00,400 Speaker 1: not everybody you know. So the actual definition a phase chord, 200 00:09:00,559 --> 00:09:02,120 Speaker 1: and that means that it's a stack of wood that 201 00:09:02,200 --> 00:09:05,800 Speaker 1: split that's four ft high by eight feet wide, right, 202 00:09:05,840 --> 00:09:07,840 Speaker 1: So that's a phase chord. But again, when it comes 203 00:09:07,840 --> 00:09:10,000 Speaker 1: to like what these guys are gonna come to your house, 204 00:09:10,000 --> 00:09:11,480 Speaker 1: and you know, if some of them will do like 205 00:09:11,520 --> 00:09:15,120 Speaker 1: the delivery thing and they're just gonna unload woods and 206 00:09:15,120 --> 00:09:16,839 Speaker 1: they basically stop when they want to, And so that 207 00:09:16,880 --> 00:09:18,400 Speaker 1: I feel like that's an instance where it's just like 208 00:09:18,679 --> 00:09:21,520 Speaker 1: this isn't quite a chord of wood man, or hey, 209 00:09:21,559 --> 00:09:23,280 Speaker 1: this is more you know, thank you so much. In 210 00:09:23,280 --> 00:09:25,200 Speaker 1: the same way, I feel like it's it's true with 211 00:09:25,280 --> 00:09:27,200 Speaker 1: the s G funds, it's like, is this truly an 212 00:09:27,200 --> 00:09:28,800 Speaker 1: E s G fund? Like is this good for the 213 00:09:28,880 --> 00:09:31,079 Speaker 1: environment even though it's labeled as such. Well, it's It's 214 00:09:31,040 --> 00:09:33,719 Speaker 1: the same thing with like terms like artisan and handcrafted. 215 00:09:34,000 --> 00:09:37,600 Speaker 1: You know, there's someone in Atlanta artisan wood and you're like, well, 216 00:09:37,600 --> 00:09:39,240 Speaker 1: what does that? What does that mean? What does that mean? 217 00:09:39,720 --> 00:09:42,480 Speaker 1: Or like, you know, certain liquors are handcrafted, and it's like, 218 00:09:42,640 --> 00:09:44,720 Speaker 1: at what point does a hand enter the process and 219 00:09:44,720 --> 00:09:47,760 Speaker 1: when is it considered handcrafted? Verse like purely made by machines? 220 00:09:47,960 --> 00:09:50,760 Speaker 1: And that is also in the either beholder in many instances. 221 00:09:50,840 --> 00:09:53,679 Speaker 1: Totally true. But these funds like they're rising in popularity 222 00:09:53,800 --> 00:09:55,880 Speaker 1: right now. But I guess the question is like should 223 00:09:55,960 --> 00:09:59,880 Speaker 1: a company like Facebook be included in a sustainable fund? Right? Like, 224 00:10:00,000 --> 00:10:02,520 Speaker 1: different fund managers have different takes on that. Some would 225 00:10:02,600 --> 00:10:04,640 Speaker 1: leave them out completely and some would say, yeah, they 226 00:10:04,640 --> 00:10:06,400 Speaker 1: belong in my E s G fund at least what 227 00:10:06,440 --> 00:10:09,040 Speaker 1: about coin base, which just had their I p O 228 00:10:09,200 --> 00:10:13,040 Speaker 1: last week? There are serious concerns about the electricity waste 229 00:10:13,080 --> 00:10:16,199 Speaker 1: and the environmental impact of bitcoin mining, and of course, 230 00:10:16,280 --> 00:10:18,800 Speaker 1: you know a company like coin base might be contributing 231 00:10:18,840 --> 00:10:20,880 Speaker 1: to some of that. So you know, we wouldn't say 232 00:10:20,880 --> 00:10:24,120 Speaker 1: to avoid these funds altogether, but do make sure that 233 00:10:24,160 --> 00:10:26,679 Speaker 1: the fund you're participating in is doing a good job 234 00:10:26,720 --> 00:10:29,640 Speaker 1: of vetting the companies that they invest in, because otherwise 235 00:10:29,760 --> 00:10:32,600 Speaker 1: you might just be paying a higher fee without getting 236 00:10:32,640 --> 00:10:35,480 Speaker 1: that intended payoff. And realized too that even if they're 237 00:10:35,480 --> 00:10:37,040 Speaker 1: doing a good job vetting, it's still kind of up 238 00:10:37,040 --> 00:10:39,320 Speaker 1: to you to figure out, like, Okay, well what companies 239 00:10:39,360 --> 00:10:41,760 Speaker 1: are they including, because your definition of a socially conscious 240 00:10:41,800 --> 00:10:44,040 Speaker 1: fund might be very different than that of the manager 241 00:10:44,080 --> 00:10:47,360 Speaker 1: over at black Rock, right right? Uh? And dude, you know, actually, 242 00:10:47,400 --> 00:10:49,560 Speaker 1: since you just brought up crypto, it is worth mentioning 243 00:10:49,679 --> 00:10:52,920 Speaker 1: that articles touting cryptocurrency as mainstream we're all over the 244 00:10:52,960 --> 00:10:56,320 Speaker 1: place this week, and the joke cryptocurrency doage coin? Is that? 245 00:10:56,360 --> 00:10:58,760 Speaker 1: How I think? So these are things that I read 246 00:10:58,760 --> 00:11:01,600 Speaker 1: more about that I talked about, because I mean, dotage 247 00:11:01,640 --> 00:11:05,040 Speaker 1: coin has no place in my life except for when 248 00:11:05,040 --> 00:11:06,960 Speaker 1: we talk about here on the show. I read about 249 00:11:06,960 --> 00:11:08,440 Speaker 1: it more than I talked about in real life. But 250 00:11:09,320 --> 00:11:12,120 Speaker 1: you know, we saw doge cooin skyrocket and value last weekend, 251 00:11:12,280 --> 00:11:13,920 Speaker 1: uh and it was for a moment it was worth 252 00:11:13,960 --> 00:11:18,120 Speaker 1: more than companies that have been around for decades, almost 253 00:11:18,200 --> 00:11:20,600 Speaker 1: hundreds of years. And at this point like Ford well 254 00:11:21,120 --> 00:11:23,320 Speaker 1: Ford has been around, but Roku hasn't, but they're more 255 00:11:23,400 --> 00:11:27,240 Speaker 1: valuable than Roku, Carbona, Walgreens can really Clark. They're the 256 00:11:27,280 --> 00:11:29,520 Speaker 1: company that likely makes the toilet paper that you use. 257 00:11:29,880 --> 00:11:35,120 Speaker 1: But dotag cooin is now falling significantly. And while blockchain technology, 258 00:11:35,440 --> 00:11:37,120 Speaker 1: like we we feel that's going to have many uses 259 00:11:37,160 --> 00:11:39,559 Speaker 1: in the future, and crypto itself might be a meaningful 260 00:11:39,600 --> 00:11:42,480 Speaker 1: store of value like gold or even a medium of 261 00:11:42,480 --> 00:11:45,560 Speaker 1: exchange in the future once it's is a little less volatile. 262 00:11:45,760 --> 00:11:47,880 Speaker 1: We would recommend for folks to be careful putting too 263 00:11:47,960 --> 00:11:50,920 Speaker 1: much of your money in this volatile space. Which coins 264 00:11:50,920 --> 00:11:53,400 Speaker 1: will be winners, which coins will lose out It is 265 00:11:53,640 --> 00:11:56,160 Speaker 1: far from decided. Your money could go all the way 266 00:11:56,200 --> 00:11:58,360 Speaker 1: down to zero, so don't invest money that you're not 267 00:11:58,400 --> 00:12:00,760 Speaker 1: willing to completely lose at the point. Yeah, it makes 268 00:12:00,760 --> 00:12:02,280 Speaker 1: me think of that. There's been like a lot of 269 00:12:02,400 --> 00:12:06,160 Speaker 1: buzz surrounding marijuana stocks too recently, Matt and It's not 270 00:12:06,240 --> 00:12:09,000 Speaker 1: that some of those companies won't succeed, especially as more 271 00:12:09,080 --> 00:12:13,160 Speaker 1: and more states legalize marijuana, but it's still an industry 272 00:12:13,360 --> 00:12:16,000 Speaker 1: that's in its infancy and and it's gonna be pretty 273 00:12:16,040 --> 00:12:18,120 Speaker 1: volatile in the coming months and years. Some of those 274 00:12:18,160 --> 00:12:20,320 Speaker 1: companies might go bust altogether in that time. It's like 275 00:12:20,360 --> 00:12:22,959 Speaker 1: investing in pan back in the early days of the airlines, 276 00:12:24,080 --> 00:12:26,880 Speaker 1: very similar and to we we put this warning out 277 00:12:26,920 --> 00:12:29,520 Speaker 1: there because it continues to be easier than ever to 278 00:12:29,600 --> 00:12:33,400 Speaker 1: purchase crypto. You can now buy crypto like bitcoin and 279 00:12:33,440 --> 00:12:37,280 Speaker 1: ethereum on Venmo and cash app has had this feature 280 00:12:37,320 --> 00:12:40,360 Speaker 1: for a while now, but more and more users of 281 00:12:40,400 --> 00:12:43,640 Speaker 1: those apps are being exposed to getting into the space 282 00:12:43,920 --> 00:12:46,880 Speaker 1: and when they might be better served focusing on other 283 00:12:46,960 --> 00:12:50,240 Speaker 1: areas of investing, like funding their tax advantaged accounts first, 284 00:12:50,360 --> 00:12:52,400 Speaker 1: which Matt and I would always say, don't even get 285 00:12:52,440 --> 00:12:54,760 Speaker 1: me the crypto unless you're maxing out at minimum or 286 00:12:54,800 --> 00:12:57,640 Speaker 1: roth ira contributing to your workplace account like you don't 287 00:12:57,640 --> 00:12:59,120 Speaker 1: even it doesn't even need to be on your radar 288 00:12:59,160 --> 00:13:02,360 Speaker 1: before then. And the definitely seems to be potential in 289 00:13:02,480 --> 00:13:06,240 Speaker 1: cryptocurrencies continuing to rise in value, but make sure that 290 00:13:06,280 --> 00:13:08,959 Speaker 1: you're investing in the proper order that you're limiting your 291 00:13:08,960 --> 00:13:13,760 Speaker 1: portfolio exposure to cryptocurrency to a max of five percent, 292 00:13:13,880 --> 00:13:16,720 Speaker 1: Like crypto should be a very minor part of your 293 00:13:16,880 --> 00:13:20,240 Speaker 1: overall investment holdings. It shouldn't be something that you're dedicating 294 00:13:20,440 --> 00:13:23,200 Speaker 1: a whole lot of resources to. So true, dude. All right, 295 00:13:23,240 --> 00:13:25,000 Speaker 1: We've got several other stories that we're gonna get to 296 00:13:25,120 --> 00:13:27,880 Speaker 1: right after the break, including some transportation stories. We're gonna 297 00:13:27,880 --> 00:13:30,599 Speaker 1: talk about planes, no trains, but we are going to 298 00:13:30,640 --> 00:13:32,719 Speaker 1: talk about automobiles. We get to all of those or 299 00:13:32,800 --> 00:13:43,840 Speaker 1: right after the break. All right, here we go. Let's 300 00:13:43,880 --> 00:13:45,840 Speaker 1: keep rolling with the Friday flight. And of course, Matt, 301 00:13:45,840 --> 00:13:47,640 Speaker 1: the next thing we have to get to is the 302 00:13:47,760 --> 00:13:51,840 Speaker 1: ludicrous headline of the week. Here you go. I like 303 00:13:51,880 --> 00:13:53,439 Speaker 1: that you brought the zest to it today. I was 304 00:13:53,480 --> 00:13:57,240 Speaker 1: bringing like, uh yeah, kind of opera singer vibe, doing 305 00:13:57,280 --> 00:14:00,000 Speaker 1: little Pavaratti over there. I appreciate that. All right, Well, 306 00:14:00,240 --> 00:14:04,240 Speaker 1: this week's headline comes from New York magazine and it 307 00:14:04,280 --> 00:14:07,640 Speaker 1: goes Confessions of an overnight millionaire. I constantly asked myself 308 00:14:07,920 --> 00:14:10,680 Speaker 1: do I deserve this money? And this is a really 309 00:14:10,720 --> 00:14:13,840 Speaker 1: interesting reading. Man, Uh, that sounds like crazy story. I 310 00:14:13,840 --> 00:14:16,320 Speaker 1: felt like part psychologists and I feel like a little 311 00:14:16,320 --> 00:14:18,000 Speaker 1: bit of group therapy going on. When I was reading 312 00:14:18,000 --> 00:14:21,400 Speaker 1: this article. It was basically this anonymous author discussing her 313 00:14:21,440 --> 00:14:24,440 Speaker 1: six million dollar windfall as the company that she worked 314 00:14:24,440 --> 00:14:27,960 Speaker 1: for went public recently. She admits that she's super frugal 315 00:14:28,240 --> 00:14:31,440 Speaker 1: and doesn't even know how to begin incorporating a sum 316 00:14:31,480 --> 00:14:33,640 Speaker 1: of money like this into her life. And in fact, 317 00:14:33,800 --> 00:14:36,200 Speaker 1: she's having so much trouble with this life changing some 318 00:14:36,360 --> 00:14:39,240 Speaker 1: of the money that her dog's life has improved more 319 00:14:39,280 --> 00:14:42,440 Speaker 1: than her own. She's buying a specialty dog food for 320 00:14:42,480 --> 00:14:44,960 Speaker 1: her pup, but like for her, she can't seem to 321 00:14:44,960 --> 00:14:48,000 Speaker 1: spend opinion of her dogs are getting like dental work done. Yes, 322 00:14:48,960 --> 00:14:50,640 Speaker 1: I refused to go to the doctor, but I'll take him. 323 00:14:50,960 --> 00:14:53,840 Speaker 1: Think she said that her dogs have seen more doctors 324 00:14:53,880 --> 00:14:56,960 Speaker 1: now this year than she has. Yes, I thought it 325 00:14:57,000 --> 00:14:59,760 Speaker 1: was super interesting, man. She she actually ends up talking 326 00:14:59,800 --> 00:15:02,520 Speaker 1: about she struggles with the belief that she deserves this 327 00:15:02,600 --> 00:15:06,280 Speaker 1: money at all, and even contemplates giving it back. Oh 328 00:15:06,320 --> 00:15:08,720 Speaker 1: my gosh. Yeah, so yeah, we would say please don't 329 00:15:08,840 --> 00:15:10,880 Speaker 1: give it back. But I mean that being said, I 330 00:15:10,920 --> 00:15:13,000 Speaker 1: could totally see some guilt creeping in if you know, 331 00:15:13,000 --> 00:15:14,880 Speaker 1: a life changing some of money fell into my lap, 332 00:15:15,360 --> 00:15:17,080 Speaker 1: but giving it back, we don't. We don't think that's 333 00:15:17,120 --> 00:15:19,600 Speaker 1: the answer. Uh, Like it's it's funny. Kind of reminds 334 00:15:19,600 --> 00:15:21,600 Speaker 1: me of some of the responses we saw to the 335 00:15:21,640 --> 00:15:24,440 Speaker 1: stimulus money from folks who didn't lose their job. That 336 00:15:24,520 --> 00:15:26,760 Speaker 1: money went out to a lot of Americans who were 337 00:15:26,760 --> 00:15:28,760 Speaker 1: still gainfully employed, you know, some of which we're doing 338 00:15:28,760 --> 00:15:31,000 Speaker 1: better financially depending on what industry they work in, how 339 00:15:31,040 --> 00:15:33,920 Speaker 1: much money they had invested in the market, things like that. Um, 340 00:15:33,960 --> 00:15:36,480 Speaker 1: there was definitely some collective guilt going on, I think. 341 00:15:36,480 --> 00:15:39,120 Speaker 1: But the the answer, at least from our perspective here 342 00:15:39,560 --> 00:15:42,160 Speaker 1: is to for her, for this individual to wrestle with 343 00:15:42,200 --> 00:15:45,440 Speaker 1: some of those deeper emotional issues that money can cause 344 00:15:45,440 --> 00:15:48,480 Speaker 1: in your life, you know, those different unspoken beliefs that 345 00:15:48,560 --> 00:15:51,480 Speaker 1: we having grained in ourselves, like and not just like 346 00:15:51,480 --> 00:15:53,880 Speaker 1: on the service, but multiple layers deep. These are often 347 00:15:53,880 --> 00:15:56,640 Speaker 1: what leads to a bad relationship with money, that would 348 00:15:56,680 --> 00:16:00,360 Speaker 1: cause someone to react to an event like this that way. 349 00:16:00,400 --> 00:16:01,960 Speaker 1: But yeah, this it was It was an interesting read. 350 00:16:01,960 --> 00:16:04,240 Speaker 1: I mean, basically it was like a journal entry or 351 00:16:04,280 --> 00:16:06,080 Speaker 1: you know, Like I mean, it was private diary, but 352 00:16:06,200 --> 00:16:08,200 Speaker 1: for everyone to see, yeah, it was all over the place. 353 00:16:08,280 --> 00:16:09,560 Speaker 1: And dude, one of the things that stood out to 354 00:16:09,600 --> 00:16:11,440 Speaker 1: me was when she was kind of talking about her 355 00:16:11,440 --> 00:16:14,040 Speaker 1: being frugal. She she mentioned too that she's never been generous, 356 00:16:14,520 --> 00:16:16,440 Speaker 1: but essentially she was kind of chronicling how like that 357 00:16:16,480 --> 00:16:18,440 Speaker 1: can change a little bit. And I think something that's 358 00:16:18,480 --> 00:16:20,880 Speaker 1: worth highlighting is that, like I personally believe that money 359 00:16:20,920 --> 00:16:23,880 Speaker 1: doesn't really change who we are, but it just amplifies 360 00:16:24,120 --> 00:16:26,360 Speaker 1: the things that we're already doing with our money. Right, 361 00:16:26,480 --> 00:16:28,160 Speaker 1: And so just because she now has a lot of money, 362 00:16:28,160 --> 00:16:29,720 Speaker 1: I don't think that's gonna mean she's gonna become this 363 00:16:29,760 --> 00:16:32,640 Speaker 1: big time giver. Unless there's maybe some other life, you know, 364 00:16:32,680 --> 00:16:35,240 Speaker 1: massive life changing event that happens to her. She's probably 365 00:16:35,240 --> 00:16:37,680 Speaker 1: gonna continue, like she said, being frugal and not spending 366 00:16:37,680 --> 00:16:40,480 Speaker 1: that money because that's just not been her response to 367 00:16:40,520 --> 00:16:42,640 Speaker 1: the money that she already had. I think it's an 368 00:16:42,680 --> 00:16:45,720 Speaker 1: important reason why it's good to have a healthy relationship, 369 00:16:46,000 --> 00:16:48,280 Speaker 1: is good to have some of these foundational things figured 370 00:16:48,280 --> 00:16:50,680 Speaker 1: out when it comes to money. Regardless of how much 371 00:16:50,720 --> 00:16:52,600 Speaker 1: money that you have now or how much you know 372 00:16:52,600 --> 00:16:55,040 Speaker 1: you will come into possession of in the future. Yeah. 373 00:16:55,400 --> 00:16:58,160 Speaker 1: I started kind of thinking after reading this article, what 374 00:16:58,200 --> 00:17:01,360 Speaker 1: would my response be if I got six million dollars randomly, 375 00:17:01,600 --> 00:17:04,440 Speaker 1: you know, thrown into my bank account. And I don't 376 00:17:04,680 --> 00:17:07,920 Speaker 1: suspect that's gonna happen anytime soon, sadly, but I don't 377 00:17:07,960 --> 00:17:11,080 Speaker 1: think that my life would change all that much if 378 00:17:11,160 --> 00:17:13,919 Speaker 1: that money were deposited tomorrow. But I'm guessing you wouldn't 379 00:17:13,920 --> 00:17:16,120 Speaker 1: feel the desire to give it back. No, I don't 380 00:17:16,119 --> 00:17:18,439 Speaker 1: think I would. Yeah, assuming you came into possession of 381 00:17:18,440 --> 00:17:22,400 Speaker 1: it legally, yeah, well hopefully, um, But I just feel 382 00:17:22,440 --> 00:17:24,119 Speaker 1: like that's such a good place to be with your 383 00:17:24,160 --> 00:17:26,359 Speaker 1: money though, where winning the lottery are getting a large 384 00:17:26,440 --> 00:17:28,560 Speaker 1: sum of money wouldn't change things all that much. It 385 00:17:28,600 --> 00:17:30,880 Speaker 1: would really just I would amplify some of the things 386 00:17:30,960 --> 00:17:34,199 Speaker 1: that I already enjoy in small little ways. But but 387 00:17:34,320 --> 00:17:37,000 Speaker 1: really my reaction to having that kind of money wouldn't 388 00:17:37,080 --> 00:17:39,080 Speaker 1: change a whole lot of things about the way I 389 00:17:39,080 --> 00:17:41,640 Speaker 1: currently live life. But obviously having that amount of money 390 00:17:41,640 --> 00:17:45,399 Speaker 1: in the bank would provide some really helpful financial security. 391 00:17:45,440 --> 00:17:49,160 Speaker 1: I have financial independence overnight, and maybe you would travel 392 00:17:49,240 --> 00:17:51,480 Speaker 1: maybe a touch more. You've talked before how travel in 393 00:17:51,520 --> 00:17:54,000 Speaker 1: your life is an important thing, so maybe you would 394 00:17:54,000 --> 00:17:57,040 Speaker 1: see that ramp up a little bit. That's that's probably true. Yeah, well, 395 00:17:57,040 --> 00:17:59,600 Speaker 1: speaking of travel, our buds got coys over at Scott's 396 00:17:59,680 --> 00:18:02,320 Speaker 1: Cheap Lights. They put together an excellent list of the 397 00:18:02,359 --> 00:18:05,840 Speaker 1: best and the worst airports for cheap flights. We'll make 398 00:18:05,840 --> 00:18:07,359 Speaker 1: sure to link to in our show notes. But the 399 00:18:07,400 --> 00:18:13,399 Speaker 1: airports that offered the most heavily discounted flights are Denver, Austin, Minneapolis, Chicago, O'Hare, 400 00:18:13,880 --> 00:18:16,480 Speaker 1: uh and l a x. Atlina actually did crack the 401 00:18:16,480 --> 00:18:18,800 Speaker 1: top ten at a spot number nine. I'm glad to 402 00:18:18,800 --> 00:18:20,360 Speaker 1: see that we're in the running a little bit there. 403 00:18:20,560 --> 00:18:23,320 Speaker 1: But Scott also points out which airports provide the least 404 00:18:23,359 --> 00:18:25,439 Speaker 1: amount of deals for you to take advantage of. We're 405 00:18:25,440 --> 00:18:29,800 Speaker 1: looking at you, Peoria. Peoria wasn't the absolute worst. Essentially, 406 00:18:29,800 --> 00:18:31,520 Speaker 1: with a small town like that, there's a very little 407 00:18:31,520 --> 00:18:35,679 Speaker 1: competition and the flight demand isn't very flexible. I mean, 408 00:18:35,720 --> 00:18:37,119 Speaker 1: people are gonna flight in and out of there for 409 00:18:37,160 --> 00:18:38,840 Speaker 1: the reasons that they need to flying in out of there, 410 00:18:39,040 --> 00:18:40,760 Speaker 1: you know, right like icing for people living there who 411 00:18:40,760 --> 00:18:43,360 Speaker 1: may be traveling for business. Not many people travel traveling 412 00:18:43,359 --> 00:18:46,680 Speaker 1: there for fun. But when there's a singular airline there, 413 00:18:46,800 --> 00:18:49,560 Speaker 1: there's no need to offer discounts. Guarantee you're gonna get 414 00:18:49,560 --> 00:18:52,160 Speaker 1: an email from the Peoria Chamber of Commerce this afternoon, 415 00:18:52,200 --> 00:18:54,880 Speaker 1: and and they're gonna tout all the reasons people should 416 00:18:54,920 --> 00:18:56,480 Speaker 1: res it there for. This episode is not brought to 417 00:18:56,520 --> 00:19:00,479 Speaker 1: you by the CIA Department of Travel. Uh but this 418 00:19:00,520 --> 00:19:03,600 Speaker 1: list was crazy helpful though, because you don't necessarily have 419 00:19:03,800 --> 00:19:06,439 Speaker 1: to fly out of the closest airport to you. If 420 00:19:06,440 --> 00:19:08,439 Speaker 1: you can be a little more flexible with your travel plans, 421 00:19:08,680 --> 00:19:11,080 Speaker 1: you can drive to a nearby airport in order to 422 00:19:11,160 --> 00:19:13,720 Speaker 1: score a better deal. If you do have that flexibility, 423 00:19:13,720 --> 00:19:15,800 Speaker 1: it could be well worth the effort. I agree, and 424 00:19:16,119 --> 00:19:19,680 Speaker 1: checking flight prices from a feud of the airport's nearest 425 00:19:19,720 --> 00:19:21,360 Speaker 1: you is a great way to see if you can 426 00:19:21,400 --> 00:19:24,119 Speaker 1: save money on the trip you're planning to take. Matt 427 00:19:24,160 --> 00:19:26,440 Speaker 1: For where we live, Atlanta did crack the top ten, 428 00:19:26,640 --> 00:19:29,320 Speaker 1: but sometimes the better deals are even out of like 429 00:19:29,600 --> 00:19:32,680 Speaker 1: Chattanooga's airport or Birmingham, and that could be a worthwhile 430 00:19:32,720 --> 00:19:35,000 Speaker 1: hour and a half or two hour drive in order 431 00:19:35,040 --> 00:19:38,320 Speaker 1: to score like a much cheaper flight somewhere, especially let's 432 00:19:38,320 --> 00:19:40,720 Speaker 1: say I'm booking a flight for my whole family. But 433 00:19:40,840 --> 00:19:43,159 Speaker 1: in addition to driving to a different airport, you can 434 00:19:43,200 --> 00:19:46,760 Speaker 1: save money by booking multiple flights separately. So like let's 435 00:19:46,800 --> 00:19:49,320 Speaker 1: say you were trying to get to Hawaii from the 436 00:19:49,320 --> 00:19:51,639 Speaker 1: East Coast, it might make sense to book a flight 437 00:19:51,840 --> 00:19:55,200 Speaker 1: directly to l a x around trip from where you live, 438 00:19:55,480 --> 00:19:58,320 Speaker 1: or from a nearby airport or maybe San Francisco even 439 00:19:58,520 --> 00:20:00,840 Speaker 1: and then book a separate flight to get to Hawaii 440 00:20:00,880 --> 00:20:03,359 Speaker 1: from there. Uh. If you're not booking it all with 441 00:20:03,480 --> 00:20:05,840 Speaker 1: one carrier, if you're splitting up your trip like that, 442 00:20:06,200 --> 00:20:08,760 Speaker 1: you can save quite a bit more money on those flights. 443 00:20:08,800 --> 00:20:10,439 Speaker 1: That's true, And that actually might be a tactic I 444 00:20:10,440 --> 00:20:12,879 Speaker 1: employee next year. And in the tactic I'm going to 445 00:20:12,960 --> 00:20:16,119 Speaker 1: take to get that Hawaii chip even cheaper is tied 446 00:20:16,160 --> 00:20:21,640 Speaker 1: your suitcase. Yeah, we're still not gonna be done with that. Uh. Well, 447 00:20:21,760 --> 00:20:25,240 Speaker 1: let's talk about artificial intelligence. Fan uh AI can make 448 00:20:25,280 --> 00:20:27,520 Speaker 1: life easier in a lot of areas in our lives. 449 00:20:27,720 --> 00:20:30,800 Speaker 1: Sometimes it makes it harder, but you can guarantee that 450 00:20:30,880 --> 00:20:33,439 Speaker 1: any company that's looking to implement it is hoping to 451 00:20:33,480 --> 00:20:36,320 Speaker 1: save money or or even make some more money. For instance, 452 00:20:36,359 --> 00:20:38,800 Speaker 1: we came across the story. When you're shopping online, virtually 453 00:20:38,840 --> 00:20:42,200 Speaker 1: everything on Amazon, uh, eBay and other e commerce sights 454 00:20:42,240 --> 00:20:45,600 Speaker 1: now is an ad. Some folks are suggesting that ads 455 00:20:45,760 --> 00:20:49,119 Speaker 1: might be Amazon's most profitable business venture as soon as 456 00:20:49,119 --> 00:20:52,760 Speaker 1: this year. Dang right, it's crazy that that's the case. 457 00:20:52,760 --> 00:20:55,679 Speaker 1: And it's important to know that Amazon they're making a 458 00:20:55,680 --> 00:20:57,760 Speaker 1: good bit of money by feeding us things that will 459 00:20:57,800 --> 00:21:00,000 Speaker 1: make them more money, not just because they're trying to 460 00:21:00,000 --> 00:21:03,879 Speaker 1: create a better user experience. I mean essentially, for some folks, 461 00:21:03,960 --> 00:21:05,639 Speaker 1: if they're able to find the things that they want easier, 462 00:21:05,640 --> 00:21:07,639 Speaker 1: I guess it is an increase in user experience. But 463 00:21:07,760 --> 00:21:09,760 Speaker 1: in the end, what they care about is money. You know. 464 00:21:09,840 --> 00:21:11,960 Speaker 1: Like this might be a kind of a pessimistic view 465 00:21:12,160 --> 00:21:15,199 Speaker 1: towards online retailers, but when you see the amounts of 466 00:21:15,240 --> 00:21:17,080 Speaker 1: the screen when you're looking at an item on Amazon, 467 00:21:17,080 --> 00:21:19,520 Speaker 1: when you see the amount of screen that's dedicated towards 468 00:21:19,720 --> 00:21:22,480 Speaker 1: ads or heat map, essentially, oh my gosh, it is 469 00:21:22,520 --> 00:21:25,960 Speaker 1: insane at how many of those are our ads basically, 470 00:21:26,200 --> 00:21:28,560 Speaker 1: And I actually went to Amazon and just pulled up 471 00:21:28,560 --> 00:21:31,560 Speaker 1: a product and seriously, like you look at it, and 472 00:21:31,640 --> 00:21:33,720 Speaker 1: if you look closely, you'll see that it says sponsored, 473 00:21:34,000 --> 00:21:35,920 Speaker 1: and you will be shocked at how many times you 474 00:21:35,960 --> 00:21:38,399 Speaker 1: see sponsored on there. All of those are ads for 475 00:21:38,520 --> 00:21:41,200 Speaker 1: themselves for Amazon itself. Companies are paying Amazon to get 476 00:21:41,240 --> 00:21:43,520 Speaker 1: listed higher. And it's just important to know when you're 477 00:21:43,520 --> 00:21:45,760 Speaker 1: shopping on there, so you don't say, oh, this is 478 00:21:45,760 --> 00:21:48,080 Speaker 1: a recommended item because I'm browsing you this. No, it's 479 00:21:48,080 --> 00:21:51,000 Speaker 1: a paid for recommendation. And yeah, you might want to 480 00:21:51,040 --> 00:21:53,520 Speaker 1: do a little more research on your own and maybe 481 00:21:53,560 --> 00:21:56,040 Speaker 1: not just doing your research on Amazon site. I mean, 482 00:21:56,240 --> 00:21:58,159 Speaker 1: I forget what the percentagewards, but it was something like 483 00:21:58,560 --> 00:22:02,200 Speaker 1: sixty of product searches begin on Amazon now, and so 484 00:22:02,760 --> 00:22:06,040 Speaker 1: that means that those you paid for ads on the 485 00:22:06,040 --> 00:22:09,239 Speaker 1: Amazon site are going a long way towards influencing what 486 00:22:09,280 --> 00:22:12,280 Speaker 1: we buy our consumer behavior. Alright, let's keep talking about 487 00:22:12,320 --> 00:22:15,639 Speaker 1: artificial intelligence. There was another story that we saw this 488 00:22:15,680 --> 00:22:18,760 Speaker 1: week that it's coming to the car repair industry. There 489 00:22:18,800 --> 00:22:21,920 Speaker 1: was a Wired article which documented the rise in insurance 490 00:22:21,920 --> 00:22:26,359 Speaker 1: companies using photography photos to assess damage and repair costs 491 00:22:26,640 --> 00:22:30,280 Speaker 1: instead of using a human adjuster at COVID has changed 492 00:22:30,320 --> 00:22:33,840 Speaker 1: the way many of those insurers handle or handling claims 493 00:22:33,840 --> 00:22:37,000 Speaker 1: these days. And yeah, pre pandemic only like something like 494 00:22:37,040 --> 00:22:41,560 Speaker 1: fift of car insurance claims were assessed using artificial intelligence. 495 00:22:41,560 --> 00:22:43,800 Speaker 1: It was like a little more novel back then, but 496 00:22:43,880 --> 00:22:47,520 Speaker 1: now it's closer to sixty and many repair shops they're 497 00:22:47,520 --> 00:22:50,560 Speaker 1: not happy about it. Um One body shop owner said 498 00:22:50,560 --> 00:22:54,000 Speaker 1: that ninety nine point nine percent of the estimates coming 499 00:22:54,040 --> 00:22:57,119 Speaker 1: in via the artificial estimate are dead wrong. I'm not 500 00:22:57,200 --> 00:23:00,239 Speaker 1: sure how scientific nine nine point nine is. It might 501 00:23:00,280 --> 00:23:04,199 Speaker 1: be slightly more anecdotal. Yeah, it's probably not quite But 502 00:23:04,280 --> 00:23:06,800 Speaker 1: like you know, obviously he doesn't really like the system, 503 00:23:07,040 --> 00:23:10,240 Speaker 1: and they're they're often problems underlying the issues that you 504 00:23:10,280 --> 00:23:13,840 Speaker 1: see on the surface when your car gets into an accident. Right, 505 00:23:14,040 --> 00:23:16,760 Speaker 1: you can't diagnose every problem from a photo, and so 506 00:23:17,080 --> 00:23:19,720 Speaker 1: what they're trying to point out is it's helpful new 507 00:23:19,720 --> 00:23:22,520 Speaker 1: technology that might eventually at some point be ready for 508 00:23:22,560 --> 00:23:25,120 Speaker 1: prime time, but but right now it's highly flawed. Yeah, 509 00:23:25,119 --> 00:23:26,880 Speaker 1: so let's actually talk about what to do if you've 510 00:23:26,920 --> 00:23:29,520 Speaker 1: gotten into a thunder bender. So if you're with one 511 00:23:29,560 --> 00:23:31,600 Speaker 1: of the big insurance companies out there, you might be 512 00:23:31,640 --> 00:23:34,560 Speaker 1: directed to download their app where you can snap pictures 513 00:23:34,840 --> 00:23:38,560 Speaker 1: and artificial intelligence AI or appraisers will use that info, 514 00:23:38,680 --> 00:23:41,080 Speaker 1: use those pictures to come up with an estimate for you. 515 00:23:41,280 --> 00:23:43,679 Speaker 1: It's really quick, it's really easy, and do there are 516 00:23:43,680 --> 00:23:47,440 Speaker 1: even some instances where folks have gotten money deposited into 517 00:23:47,440 --> 00:23:50,280 Speaker 1: their bank account the next day. It's been that quick, 518 00:23:50,400 --> 00:23:53,439 Speaker 1: like that immediate. And this sounds really amazing, right, but 519 00:23:53,480 --> 00:23:56,600 Speaker 1: this can actually be really terrible if you're not compensated 520 00:23:56,640 --> 00:24:00,239 Speaker 1: the proper amount to adequately fix your car. And so 521 00:24:00,280 --> 00:24:01,960 Speaker 1: if you need to to get an estimate for your 522 00:24:01,960 --> 00:24:04,680 Speaker 1: your damaged car, we would recommend that you request an 523 00:24:04,680 --> 00:24:08,040 Speaker 1: in person appraiser or an adjuster, or contact your insurance 524 00:24:08,080 --> 00:24:10,520 Speaker 1: company and find a list of body shops that your 525 00:24:10,560 --> 00:24:13,840 Speaker 1: insurance company approves of in order to ensure that you 526 00:24:13,880 --> 00:24:16,359 Speaker 1: get enough money for that repair. You want to make 527 00:24:16,400 --> 00:24:18,199 Speaker 1: sure that you're not left holding the bag when it 528 00:24:18,240 --> 00:24:21,800 Speaker 1: comes to getting that repair done where the actual repair 529 00:24:21,880 --> 00:24:24,399 Speaker 1: costs more than what you're quoted and what the insurance 530 00:24:24,400 --> 00:24:26,280 Speaker 1: company is going to send your away. And you definitely 531 00:24:26,280 --> 00:24:28,440 Speaker 1: want to make sure too that your ride is repaired 532 00:24:28,480 --> 00:24:32,000 Speaker 1: properly because and an adequate payout from an insurance company 533 00:24:32,080 --> 00:24:34,240 Speaker 1: might keep some different body shops out there from doing 534 00:24:34,280 --> 00:24:36,320 Speaker 1: the proper work. Yeah, and that could leave you in 535 00:24:36,520 --> 00:24:39,560 Speaker 1: an unsafe car, which would not be good. So knowing 536 00:24:39,640 --> 00:24:41,919 Speaker 1: about that problem and knowing how to address it if 537 00:24:41,920 --> 00:24:43,639 Speaker 1: that pops up in your life. Hopefully you don't get 538 00:24:43,640 --> 00:24:45,399 Speaker 1: in an accident, but you know, if you do, you 539 00:24:45,400 --> 00:24:47,680 Speaker 1: gotta know that stuff, all right, Matt. And speaking of cars, 540 00:24:47,720 --> 00:24:50,040 Speaker 1: we've actually got a really interesting conversation with Lee and 541 00:24:50,240 --> 00:24:54,280 Speaker 1: Shattuck coming out on Monday, and she is a car expert. 542 00:24:54,400 --> 00:24:56,960 Speaker 1: We're gonna talk all about car repairs, buying a car, 543 00:24:57,040 --> 00:24:59,000 Speaker 1: buying used, buying new, and how you do it and 544 00:24:59,040 --> 00:25:00,960 Speaker 1: score the best deal. We'll talk about all that stuff 545 00:25:01,320 --> 00:25:04,320 Speaker 1: on Monday's episode, but that's gonna do it for this episode. 546 00:25:04,480 --> 00:25:06,080 Speaker 1: If you want show notes and some of the links 547 00:25:06,119 --> 00:25:08,840 Speaker 1: to the stories that we discussed in today's episode, just 548 00:25:08,880 --> 00:25:11,840 Speaker 1: go to our website, how to money dot com. That's right, 549 00:25:11,880 --> 00:25:13,560 Speaker 1: And if you've been listening to the show and you 550 00:25:13,640 --> 00:25:16,280 Speaker 1: have not yet left us a review, we would greatly 551 00:25:16,320 --> 00:25:18,679 Speaker 1: appreciate that, and you can head over to Apple Podcasts 552 00:25:18,920 --> 00:25:20,919 Speaker 1: or wherever it is that you listen to your shows. 553 00:25:21,160 --> 00:25:24,400 Speaker 1: Those positive, solid reviews help others to find the show 554 00:25:24,440 --> 00:25:26,879 Speaker 1: and start doing smarter things with their money, and so 555 00:25:26,960 --> 00:25:28,880 Speaker 1: big thanks in advance for that and so Joel, that's 556 00:25:28,880 --> 00:25:30,800 Speaker 1: gonna be it for this episode, buddy. We hope everyone 557 00:25:30,840 --> 00:25:33,800 Speaker 1: has a great weekend and until next time, best Friends Out, 558 00:25:33,880 --> 00:25:35,000 Speaker 1: Best Friends Out,