1 00:00:00,080 --> 00:00:01,440 Speaker 1: Welcome to How to Money. 2 00:00:01,520 --> 00:00:04,680 Speaker 2: I'm Joel and I am Matt and today we're talking 3 00:00:04,800 --> 00:00:07,720 Speaker 2: overcoming your Scarcity Brain with Michael Easter. 4 00:00:26,920 --> 00:00:29,760 Speaker 1: Yeah, that's right. We are joined by Michael Easter. So 5 00:00:29,840 --> 00:00:33,280 Speaker 1: he's the author of Scarcity Brain, and we are pumped 6 00:00:33,280 --> 00:00:35,760 Speaker 1: to have him on the podcast today. And so we're 7 00:00:35,760 --> 00:00:38,279 Speaker 1: talking about scarcity, right, And even though we know what 8 00:00:38,360 --> 00:00:42,000 Speaker 1: the word means, scarcity is likely a concept that a 9 00:00:42,080 --> 00:00:45,159 Speaker 1: few folks listening to this podcast have much experience with, 10 00:00:45,720 --> 00:00:48,320 Speaker 1: at the very least in our quite developed country. We 11 00:00:48,360 --> 00:00:50,800 Speaker 1: have enough food, we have enough shelter and clothing on 12 00:00:50,960 --> 00:00:53,040 Speaker 1: hand that the vast majority of folks haven't felt the 13 00:00:53,040 --> 00:00:56,680 Speaker 1: true impacts of real scarcity. And in fact, most of 14 00:00:56,720 --> 00:00:59,240 Speaker 1: us have more than we need of all of those things, 15 00:00:59,240 --> 00:01:02,480 Speaker 1: plus the countless cardboard boxes of stuff that we can 16 00:01:02,520 --> 00:01:05,960 Speaker 1: also purchase to fill in any remaining containers and closets 17 00:01:06,000 --> 00:01:09,039 Speaker 1: that aren't already bursting up the seams. But we are 18 00:01:09,080 --> 00:01:11,680 Speaker 1: talking with Michael, and he has traveled the world. He's 19 00:01:12,000 --> 00:01:15,560 Speaker 1: observed tribes and the jungles of Bolivia. He studied addiction 20 00:01:15,680 --> 00:01:19,560 Speaker 1: and bombed out hotels in Baghdad. He's spoken with the 21 00:01:19,600 --> 00:01:24,240 Speaker 1: top researchers of psychology in order to understand the human mind, 22 00:01:24,280 --> 00:01:26,120 Speaker 1: and we're gonna be talking about how it is that 23 00:01:26,160 --> 00:01:28,840 Speaker 1: we can shake some bad habits in order to live 24 00:01:28,920 --> 00:01:31,800 Speaker 1: more fulfilling lives, and hopefully we'll have some great takeaways 25 00:01:31,800 --> 00:01:34,120 Speaker 1: on how it is that we can view and pursue 26 00:01:34,280 --> 00:01:37,320 Speaker 1: money in a more satisfying way as well. Michael, thank 27 00:01:37,360 --> 00:01:39,399 Speaker 1: you so much for joining us today on the podcast. 28 00:01:39,520 --> 00:01:41,280 Speaker 3: Yeah, thanks for having me. Guys. This should be fun. 29 00:01:41,800 --> 00:01:44,240 Speaker 2: Yeah, we're looking forward to it, Michael. The first question 30 00:01:44,280 --> 00:01:46,880 Speaker 2: we ask anybody who comes on the show is and 31 00:01:46,959 --> 00:01:49,960 Speaker 2: it reveals a little bit about them. But, like Matt 32 00:01:49,960 --> 00:01:51,880 Speaker 2: and I, we like to save and invest money for 33 00:01:51,880 --> 00:01:54,000 Speaker 2: the future, but we also like to spend money in 34 00:01:54,000 --> 00:01:56,040 Speaker 2: the here and now on things that matter to us. 35 00:01:56,120 --> 00:01:58,920 Speaker 2: Craft beer is one of those, and so we always 36 00:01:58,960 --> 00:02:01,520 Speaker 2: like to ask our guests what's their craft to beer equivalent? 37 00:02:01,720 --> 00:02:05,200 Speaker 2: What are they spending money on intentionally, maybe more so 38 00:02:05,280 --> 00:02:08,280 Speaker 2: than most people would think is wise while they're doing 39 00:02:08,280 --> 00:02:09,400 Speaker 2: the right thing with their money too. 40 00:02:09,880 --> 00:02:15,040 Speaker 3: Yeah, I would say my most obscene purchase is probably 41 00:02:15,040 --> 00:02:17,600 Speaker 3: a nice watch. Now, I will say it's because one 42 00:02:18,800 --> 00:02:21,760 Speaker 3: I just like well made watches, kind of a watchdork. 43 00:02:21,800 --> 00:02:25,480 Speaker 3: But two, I also rationalize it as a business expense 44 00:02:25,520 --> 00:02:29,239 Speaker 3: because in some of the places I travel for my work, 45 00:02:29,840 --> 00:02:32,480 Speaker 3: having a nice bargaining chip if you find yourself in 46 00:02:32,480 --> 00:02:35,960 Speaker 3: a pickle is a good thing. And certain certain brands 47 00:02:35,960 --> 00:02:37,359 Speaker 3: it's like, I mean, they'll that'll get you out of 48 00:02:37,400 --> 00:02:39,440 Speaker 3: a pickle pretty quick if you're like, hey, I'll trade 49 00:02:39,440 --> 00:02:41,160 Speaker 3: you my watch for X y Z. So that's how 50 00:02:41,200 --> 00:02:41,880 Speaker 3: I rationalize it. 51 00:02:41,919 --> 00:02:42,680 Speaker 1: Okay, it's so funny. 52 00:02:42,720 --> 00:02:46,280 Speaker 2: Matt just stumbled upon at a bar recently, a watch 53 00:02:46,480 --> 00:02:47,440 Speaker 2: club and I. 54 00:02:47,680 --> 00:02:50,120 Speaker 1: Swear local restaurants, so it's called red bar. Do you 55 00:02:50,120 --> 00:02:52,280 Speaker 1: have one of those one of those clubs over there? 56 00:02:52,840 --> 00:02:54,360 Speaker 3: Well maybe I don't. I nothing that I know of. 57 00:02:54,560 --> 00:02:57,400 Speaker 2: Okay, but if Matt's going to get into any hobby, 58 00:02:57,440 --> 00:02:59,120 Speaker 2: I'm predicting it's going to be fancy watches. 59 00:02:59,200 --> 00:03:00,959 Speaker 3: So I would I would. I would tell you to 60 00:03:01,000 --> 00:03:02,240 Speaker 3: avoid it. You'll save a lot of money. 61 00:03:03,480 --> 00:03:06,800 Speaker 1: I do feel like I am resisting. Like Joel talked 62 00:03:06,800 --> 00:03:09,280 Speaker 1: me into getting this garment, which actually maybe we'll talk 63 00:03:09,280 --> 00:03:13,639 Speaker 1: about this later on as far as technology and gamification, 64 00:03:13,880 --> 00:03:16,880 Speaker 1: but they were on sale at Costco, and I have 65 00:03:17,000 --> 00:03:20,000 Speaker 1: been pretty happy with not only the time it keeps, 66 00:03:20,040 --> 00:03:22,959 Speaker 1: but also some of the health data, the stats that 67 00:03:23,320 --> 00:03:25,000 Speaker 1: it feeds me. It's amazing how much it gives you 68 00:03:25,000 --> 00:03:27,120 Speaker 1: for one hundred and fifty bucks. Yes, yes, say that 69 00:03:27,120 --> 00:03:32,200 Speaker 1: I'm trying to avoid the chronographs, actual fancy watches. But Michael, 70 00:03:32,520 --> 00:03:34,160 Speaker 1: I feel like now is as good a time as 71 00:03:34,160 --> 00:03:36,480 Speaker 1: ever to talk about habits here towards the beginning of 72 00:03:36,480 --> 00:03:38,640 Speaker 1: the year. But you say that this is a quote, 73 00:03:38,680 --> 00:03:41,119 Speaker 1: it doesn't matter how much gas that we give our 74 00:03:41,680 --> 00:03:44,320 Speaker 1: good new habits if we don't resolve our bad ones, 75 00:03:44,480 --> 00:03:47,040 Speaker 1: we still have our foot on the break. Talk to 76 00:03:47,120 --> 00:03:50,200 Speaker 1: us about what you mean by that and why you're 77 00:03:50,280 --> 00:03:53,000 Speaker 1: kind of obsessed with individual human behavior that's actually in 78 00:03:53,040 --> 00:03:54,800 Speaker 1: our own worst interest. 79 00:03:54,960 --> 00:03:57,840 Speaker 3: Yeah. Well, I mean it's rather simple that we kind 80 00:03:57,840 --> 00:04:00,720 Speaker 3: of live in this world where there's all the information 81 00:04:00,760 --> 00:04:02,600 Speaker 3: about all these things we should do. I mean, I'm 82 00:04:02,680 --> 00:04:06,120 Speaker 3: kind of more in the health wellness psychology space, and 83 00:04:06,520 --> 00:04:09,240 Speaker 3: you know, you see, it's like adopt this new specific 84 00:04:09,280 --> 00:04:11,960 Speaker 3: exercise routine, add this food to your thing. We're always 85 00:04:11,960 --> 00:04:14,320 Speaker 3: trying to add the next new good habit. But when 86 00:04:14,400 --> 00:04:18,040 Speaker 3: you look at what actually moves the ball farthest downfield 87 00:04:18,040 --> 00:04:20,680 Speaker 3: for people in terms of improving their life, improving their 88 00:04:20,680 --> 00:04:23,040 Speaker 3: well being. I would imagine the exact same thing follows 89 00:04:23,040 --> 00:04:25,760 Speaker 3: for finances. It's to stop doing the stuff that hurts 90 00:04:25,800 --> 00:04:29,720 Speaker 3: you most. Yeah, so it's to cut out the foods 91 00:04:29,960 --> 00:04:32,640 Speaker 3: that are your triggers and are leading you to gain weight. 92 00:04:32,680 --> 00:04:36,840 Speaker 3: It's to stop making that purchase that is putting a 93 00:04:36,839 --> 00:04:42,119 Speaker 3: massive dent in your finances. Usually, all things equal, taking 94 00:04:42,160 --> 00:04:44,240 Speaker 3: away bad habits is going to move the ball a 95 00:04:44,279 --> 00:04:47,200 Speaker 3: lot farther downfield than is adding good, new, shiny habits. 96 00:04:47,200 --> 00:04:50,560 Speaker 3: Because if you are giving gas to those good new 97 00:04:50,560 --> 00:04:52,320 Speaker 3: habits but you still have your bad ones, it's like 98 00:04:52,360 --> 00:04:55,320 Speaker 3: you just got the car and with the emergency breake on. 99 00:04:55,520 --> 00:04:57,400 Speaker 2: Yeah yeah, and you're just like reving the engine. You're 100 00:04:57,440 --> 00:04:59,480 Speaker 2: not going anywhere. You're doing a lot of damage. At 101 00:04:59,480 --> 00:05:02,559 Speaker 2: the same time, give me the elevator pitch for your book, 102 00:05:02,680 --> 00:05:05,120 Speaker 2: Scarcely Brain, Like, what is it that you were trying 103 00:05:05,160 --> 00:05:07,560 Speaker 2: to accomplish with this one? Because you've I mean, I 104 00:05:07,600 --> 00:05:10,279 Speaker 2: was telling you before we start recording, I read your 105 00:05:10,320 --> 00:05:13,840 Speaker 2: book The Comfort Crisis before I read this one. Talk 106 00:05:13,880 --> 00:05:15,680 Speaker 2: to me about Scarcly Brain and what made you cause 107 00:05:15,839 --> 00:05:16,800 Speaker 2: what caused you to write it? 108 00:05:16,960 --> 00:05:19,160 Speaker 3: Yeah, I mean, so the underlying question of that book is, 109 00:05:19,360 --> 00:05:21,920 Speaker 3: you know, everyone knows that everything is fine in moderation, 110 00:05:22,680 --> 00:05:27,320 Speaker 3: and yet everyone sucks at moderation. So and so why 111 00:05:27,440 --> 00:05:29,880 Speaker 3: is that right? And what is it that we can't 112 00:05:29,880 --> 00:05:32,520 Speaker 3: seem to moderate? And when you look at it, the 113 00:05:32,960 --> 00:05:36,080 Speaker 3: behaviors that people have trouble with is they usually fall 114 00:05:36,120 --> 00:05:39,920 Speaker 3: into a handful of silos like eating too much food, 115 00:05:40,560 --> 00:05:45,920 Speaker 3: buying too much stuff, information, binges online, etcetera, etcetera, etcetera. 116 00:05:45,960 --> 00:05:48,240 Speaker 3: And these are all behaviors that in the past would 117 00:05:48,240 --> 00:05:50,960 Speaker 3: have helped us survive. So a lot of my work 118 00:05:51,000 --> 00:05:54,560 Speaker 3: it takes in evolutionary lens in our modern problems. So 119 00:05:54,640 --> 00:05:56,560 Speaker 3: if you think about all the things we crave today, 120 00:05:57,640 --> 00:06:00,799 Speaker 3: usually in the past they were scarce, were hard to find, 121 00:06:01,200 --> 00:06:03,800 Speaker 3: and if you would have sort of overdone them, that 122 00:06:03,839 --> 00:06:08,120 Speaker 3: would have given you a survival advantage. But in today's world, 123 00:06:08,120 --> 00:06:11,520 Speaker 3: where we have an overload of information, where we have 124 00:06:11,560 --> 00:06:14,760 Speaker 3: an overload of food, where we have Amazon Prime and 125 00:06:14,800 --> 00:06:16,800 Speaker 3: a billion items that we could buy and get in 126 00:06:16,960 --> 00:06:20,320 Speaker 3: twenty four hours all at our fingertips, that is not 127 00:06:20,560 --> 00:06:22,760 Speaker 3: always so good for us. So we tend to we 128 00:06:22,839 --> 00:06:24,640 Speaker 3: tend to overdo these things in a world where it 129 00:06:24,720 --> 00:06:25,719 Speaker 3: ultimately Backfuyers. 130 00:06:26,160 --> 00:06:29,400 Speaker 1: Talk to us about scarcity, Ques, Michael, because you say 131 00:06:29,440 --> 00:06:31,080 Speaker 1: that they can be they can be big, but they 132 00:06:31,120 --> 00:06:34,360 Speaker 1: can also be small and subtle, you know, even down 133 00:06:34,400 --> 00:06:37,200 Speaker 1: to our neighbors, like buying a new car. You know, 134 00:06:37,320 --> 00:06:40,479 Speaker 1: is that keeping up with the joneses like a queue 135 00:06:40,520 --> 00:06:43,159 Speaker 1: in this case, you know, just the felt need to 136 00:06:43,560 --> 00:06:47,280 Speaker 1: not lag behind others, our neighbors, our friends, even if 137 00:06:47,320 --> 00:06:49,640 Speaker 1: it ends up meaning that we end up going down 138 00:06:49,680 --> 00:06:51,880 Speaker 1: the path of falling into consumer debt. Talk to us 139 00:06:51,880 --> 00:06:53,360 Speaker 1: a little bit about scarcity, Ques. 140 00:06:53,480 --> 00:06:56,720 Speaker 3: Yeah, So scarcity queue is a piece of information in 141 00:06:56,760 --> 00:06:59,040 Speaker 3: our environment and we encounter in our environment that makes 142 00:06:59,120 --> 00:07:00,960 Speaker 3: us feel as if the resources that we need to 143 00:07:01,000 --> 00:07:04,640 Speaker 3: sort of thrive and survive are scarce. So I'll give 144 00:07:04,680 --> 00:07:07,640 Speaker 3: the example of, you know, neighbor buys a fancy new car. 145 00:07:07,880 --> 00:07:10,080 Speaker 3: What tends to happen is that this is a this 146 00:07:10,120 --> 00:07:12,480 Speaker 3: is a sort of threat to our status almost So 147 00:07:12,480 --> 00:07:14,640 Speaker 3: the scarcity que is that we don't have enough status 148 00:07:14,680 --> 00:07:17,640 Speaker 3: because now people buy cars, yes, to get from point 149 00:07:17,640 --> 00:07:19,960 Speaker 3: A to point B, but also because cars would become 150 00:07:20,000 --> 00:07:22,480 Speaker 3: a sort of status symbol. And it can be something 151 00:07:22,560 --> 00:07:26,360 Speaker 3: as simple as that. A good big example that I 152 00:07:26,400 --> 00:07:29,880 Speaker 3: think everyone can identify with would be the pandemic. So 153 00:07:29,920 --> 00:07:32,960 Speaker 3: when the pandemic first set in, you know, all of 154 00:07:33,000 --> 00:07:35,640 Speaker 3: a sudden, everyone goes, oh, I'm not going to have 155 00:07:35,760 --> 00:07:38,119 Speaker 3: enough food, I'm not going to have enough toilet paper, 156 00:07:38,160 --> 00:07:40,160 Speaker 3: I'm not going to have enough xyz. Right, this big 157 00:07:40,200 --> 00:07:42,000 Speaker 3: scarcity que. So what does everyone do. They go to 158 00:07:42,000 --> 00:07:44,800 Speaker 3: the grocery stores. They brawl in the aisle, they buy 159 00:07:44,840 --> 00:07:47,640 Speaker 3: all kinds of food that they're never going to eat. Right, 160 00:07:47,680 --> 00:07:48,920 Speaker 3: It's like, oh, we've got to have one hundred and 161 00:07:48,920 --> 00:07:50,240 Speaker 3: tens of spam. Definitely throw that. 162 00:07:50,440 --> 00:07:52,280 Speaker 2: The twenty five pound bag of rice from Costco came 163 00:07:52,320 --> 00:07:53,640 Speaker 2: and clutch Michael. 164 00:07:55,360 --> 00:07:58,720 Speaker 3: I believe it. But they don't have to beat that 165 00:07:58,760 --> 00:08:01,040 Speaker 3: big either. I mean, there's this it's really interesting research 166 00:08:01,080 --> 00:08:04,840 Speaker 3: from Vanderbilt that found that even when people have a 167 00:08:04,880 --> 00:08:07,280 Speaker 3: scarcity queue, like running out of ink and a pen 168 00:08:07,520 --> 00:08:11,320 Speaker 3: something as simple as that, they will make decisions that 169 00:08:12,000 --> 00:08:15,320 Speaker 3: sort of let's show hoarding behavior. So they'll be like, Okay, 170 00:08:15,320 --> 00:08:17,840 Speaker 3: I need multiple pens, and like they start kind of 171 00:08:17,880 --> 00:08:22,400 Speaker 3: freaking out inside. And so I think that you see this, 172 00:08:22,400 --> 00:08:27,240 Speaker 3: this is basically an evolutionary survival thing we have right 173 00:08:27,320 --> 00:08:29,160 Speaker 3: in the past. If you had this cue that like, 174 00:08:29,160 --> 00:08:30,960 Speaker 3: oh maybe I'm not going to have enough food to survive. 175 00:08:31,640 --> 00:08:34,120 Speaker 3: Oh no, it would totally make sense to go out 176 00:08:34,160 --> 00:08:36,720 Speaker 3: and try and hoard as much food as possible. But 177 00:08:36,840 --> 00:08:40,640 Speaker 3: today it's like food is never really that's scary exactly right. 178 00:08:40,679 --> 00:08:42,200 Speaker 3: I mean we throw out about a third of the 179 00:08:42,240 --> 00:08:44,480 Speaker 3: food that we produce in this country, and so and 180 00:08:44,600 --> 00:08:46,840 Speaker 3: this and this all obviously applies to a lot of 181 00:08:46,840 --> 00:08:48,920 Speaker 3: different areas in our lives, and I think it ultimately 182 00:08:48,960 --> 00:08:52,600 Speaker 3: leads people to make decisions that don't exactly make sense 183 00:08:52,640 --> 00:08:53,680 Speaker 3: in the context of today. 184 00:08:53,840 --> 00:08:56,959 Speaker 2: So how do we connect our brains to kind of 185 00:08:57,000 --> 00:09:00,320 Speaker 2: the scarcity queue? Maybe that's tapping into some sort of 186 00:09:00,679 --> 00:09:03,840 Speaker 2: primal urge that might cause us to do something that's 187 00:09:03,880 --> 00:09:06,600 Speaker 2: not in our best interest because times have changed. And 188 00:09:06,679 --> 00:09:08,880 Speaker 2: guess what, Like I don't necessarily need to go buy 189 00:09:08,880 --> 00:09:11,080 Speaker 2: a twelve pack of pens just because I ran out 190 00:09:11,120 --> 00:09:12,720 Speaker 2: of ink in the one and actually I probably have 191 00:09:12,760 --> 00:09:14,800 Speaker 2: three more in the drawer somewhere that I just haven't 192 00:09:14,800 --> 00:09:17,000 Speaker 2: looked for yet. Is there a way to kind of 193 00:09:17,320 --> 00:09:21,200 Speaker 2: overcome that scarcity Q that kind of gets brought to 194 00:09:21,240 --> 00:09:23,880 Speaker 2: your attention, but it's almost like subconscious Yeah. 195 00:09:23,720 --> 00:09:25,920 Speaker 3: I think we need pretty much we need to use 196 00:09:25,960 --> 00:09:29,640 Speaker 3: full heuristics. So I'll give you an example with possessions. 197 00:09:30,120 --> 00:09:33,000 Speaker 3: So there are effectively four reasons why people buy stuff. 198 00:09:33,520 --> 00:09:37,320 Speaker 3: The first is because stuff is a tool, Right, you 199 00:09:37,440 --> 00:09:41,160 Speaker 3: use tools to accomplish something. That's how things have pretty 200 00:09:41,240 --> 00:09:44,120 Speaker 3: much always been. But you can also buy stuff, like 201 00:09:44,160 --> 00:09:46,600 Speaker 3: I mentioned before, for status. You buy it because it 202 00:09:47,120 --> 00:09:50,040 Speaker 3: elevates you over someone else in the social hierarchy. The 203 00:09:50,080 --> 00:09:54,320 Speaker 3: third reason is because possessions can help us feel belonging. So, 204 00:09:54,360 --> 00:09:57,960 Speaker 3: for example, you buy a Utah jazz jersey because you're 205 00:09:57,960 --> 00:09:59,800 Speaker 3: a Utah jazz fan and you want to identify with 206 00:09:59,840 --> 00:10:01,520 Speaker 3: that the jaz fans, Right, it's part of this like 207 00:10:01,760 --> 00:10:06,080 Speaker 3: collective thing. And then fourth is boredom. So you see 208 00:10:06,080 --> 00:10:09,200 Speaker 3: that when people get bored, we go looking for escapes 209 00:10:09,480 --> 00:10:12,160 Speaker 3: from it, and today we usually go on our phones. 210 00:10:12,400 --> 00:10:14,520 Speaker 3: And what we look at on our phones, I mean 211 00:10:14,559 --> 00:10:17,480 Speaker 3: we're seeing advertisement after advertisement, and it's never been easier 212 00:10:17,520 --> 00:10:20,440 Speaker 3: before to click that ad, click through to the buy button, 213 00:10:20,559 --> 00:10:22,920 Speaker 3: and then buy this thing that you go, wait, did 214 00:10:22,920 --> 00:10:26,360 Speaker 3: I really need that? So in the context of this, 215 00:10:26,400 --> 00:10:29,400 Speaker 3: I think you need to when you're sort of feeling 216 00:10:29,480 --> 00:10:31,960 Speaker 3: like you want to say, make a purchase, you need 217 00:10:32,040 --> 00:10:34,360 Speaker 3: to ask yourself what am I buying this for? Is 218 00:10:34,360 --> 00:10:36,600 Speaker 3: it for status? Is it because I want to feel 219 00:10:36,640 --> 00:10:38,559 Speaker 3: some sort of belonging. Can I get that elsewhere? Or 220 00:10:38,600 --> 00:10:41,240 Speaker 3: am I just bored? So I run things through the 221 00:10:41,280 --> 00:10:45,720 Speaker 3: heuristic of gear not stuff. So gear gears is possessions 222 00:10:45,720 --> 00:10:48,520 Speaker 3: that we use to achieve a higher purpose, right, We're 223 00:10:48,600 --> 00:10:51,280 Speaker 3: using them to accomplish some bigger thing that gives us 224 00:10:51,280 --> 00:10:54,600 Speaker 3: deeper meaning, whereas everything else stuff is sort of like, yeah, 225 00:10:54,600 --> 00:10:56,559 Speaker 3: I'm going to buy this brand because I want to 226 00:10:56,600 --> 00:10:58,760 Speaker 3: look cooler than my neighbor, or I want to do 227 00:10:58,800 --> 00:11:00,560 Speaker 3: this because I want to feel some belonging with this 228 00:11:00,720 --> 00:11:03,400 Speaker 3: random you know, corporation, whatever it might be, or I'm 229 00:11:03,400 --> 00:11:05,000 Speaker 3: just bored. And so I think trying to figure out 230 00:11:05,440 --> 00:11:07,200 Speaker 3: get to the root of why you're doing what you're 231 00:11:07,320 --> 00:11:10,480 Speaker 3: what you do is the key to starting to unpack 232 00:11:10,760 --> 00:11:11,880 Speaker 3: larger behavior changes. 233 00:11:12,120 --> 00:11:15,960 Speaker 1: So as you kind of run a purchase through that 234 00:11:16,000 --> 00:11:18,800 Speaker 1: set of criteria, are some of those do you think 235 00:11:18,840 --> 00:11:21,080 Speaker 1: inherently better than the others? Obviously, Like when you say 236 00:11:21,120 --> 00:11:24,240 Speaker 1: something is a tool, it sounds cool, or you know, 237 00:11:24,280 --> 00:11:27,400 Speaker 1: like it's it's it sounds like justified, it sounds noble, 238 00:11:27,480 --> 00:11:29,720 Speaker 1: you're like, oh, no, I'm using this to accomplish something, 239 00:11:30,080 --> 00:11:34,199 Speaker 1: whereas obviously boredom is that sounds like a terrible reason. 240 00:11:35,440 --> 00:11:37,480 Speaker 1: But I feel so I feel like the two in 241 00:11:37,520 --> 00:11:40,280 Speaker 1: the middle, right, status and belonging, I feel like those 242 00:11:40,320 --> 00:11:41,880 Speaker 1: are a little squishier. I feel like, in my mind, 243 00:11:41,920 --> 00:11:45,160 Speaker 1: those are a little more gray. And would you push 244 00:11:45,200 --> 00:11:47,960 Speaker 1: back against anybody who would be critical of somebody for 245 00:11:48,040 --> 00:11:51,400 Speaker 1: buying something in order to fit in with a group, 246 00:11:51,480 --> 00:11:54,240 Speaker 1: you know, for that belonging, or even to signal to 247 00:11:54,360 --> 00:11:57,000 Speaker 1: others that maybe they're better, right, Like, that's basically that 248 00:11:57,000 --> 00:11:59,320 Speaker 1: that conspicuous consumption that you're talking about, or that's what 249 00:11:59,360 --> 00:12:02,360 Speaker 1: luxury goods are, all right, almost totally. 250 00:12:02,600 --> 00:12:05,440 Speaker 3: So I think that my I'm definitely not here to 251 00:12:05,640 --> 00:12:08,600 Speaker 3: pass any value judgments. I would rather just people be 252 00:12:08,640 --> 00:12:11,000 Speaker 3: aware of why. Okay, So you know, I always like 253 00:12:11,040 --> 00:12:15,040 Speaker 3: to say, you know, for example, let's take behaviors of 254 00:12:15,160 --> 00:12:17,760 Speaker 3: using your phone too much. It's like, I don't care 255 00:12:17,800 --> 00:12:20,520 Speaker 3: if someone wants to spend nine hours a day on Instagram. 256 00:12:20,559 --> 00:12:22,480 Speaker 3: I really don't care. But what I want people to 257 00:12:22,520 --> 00:12:24,920 Speaker 3: be able to do is make the conscious decision about 258 00:12:25,320 --> 00:12:28,560 Speaker 3: them doing that, because often today we do things without 259 00:12:28,600 --> 00:12:33,000 Speaker 3: really understanding what the underlying motivation is. So if you 260 00:12:33,120 --> 00:12:36,840 Speaker 3: want to buy that, you know, whatever it is, certain, 261 00:12:36,920 --> 00:12:40,000 Speaker 3: I'll take myself that certain watch brand. Yeah, because it's 262 00:12:40,000 --> 00:12:41,880 Speaker 3: also a status symbol. It's like, all right, but I 263 00:12:41,920 --> 00:12:43,720 Speaker 3: just want you to know. I just want a person 264 00:12:43,720 --> 00:12:46,000 Speaker 3: to be aware of Okay, this is one of the 265 00:12:46,040 --> 00:12:48,160 Speaker 3: reasons I'm buying it, because I think we try to 266 00:12:48,160 --> 00:12:50,800 Speaker 3: make these rationalizations in our mind where we go, oh, no, 267 00:12:50,920 --> 00:12:52,520 Speaker 3: like this is blah blah blah blah blah blah blah, 268 00:12:52,520 --> 00:12:55,080 Speaker 3: and we talk ourselves into purchases that maybe we otherwise 269 00:12:55,200 --> 00:12:57,560 Speaker 3: wouldn't have made if we were being honest with ourselves. 270 00:12:57,679 --> 00:12:58,400 Speaker 1: Yeah, it's funny. 271 00:12:58,440 --> 00:13:01,480 Speaker 2: It makes me think about how Matt always talks about 272 00:13:01,559 --> 00:13:05,080 Speaker 2: using text messages. I have some friends who communicate solely 273 00:13:05,120 --> 00:13:08,080 Speaker 2: be a text message, and I haven't actually talked to 274 00:13:08,080 --> 00:13:09,760 Speaker 2: them and had a conversation or met with them in 275 00:13:09,800 --> 00:13:12,480 Speaker 2: real life in quite a while. And Matt, the way 276 00:13:12,520 --> 00:13:14,400 Speaker 2: he talks about it is like, no, it's always to 277 00:13:14,480 --> 00:13:17,880 Speaker 2: facilitate in person hangs. And so if you're gonna text me, 278 00:13:18,040 --> 00:13:20,600 Speaker 2: let's come up with a plan to actually make the 279 00:13:20,640 --> 00:13:25,160 Speaker 2: real life hike or beer hang. Actually, you know, actually happen. 280 00:13:25,640 --> 00:13:28,360 Speaker 2: Is that maybe a good way to think about it, 281 00:13:28,880 --> 00:13:33,160 Speaker 2: using these digital platforms, using shot and it makes me 282 00:13:33,160 --> 00:13:36,320 Speaker 2: think about buying a shirt for a bowling league is 283 00:13:36,440 --> 00:13:38,360 Speaker 2: like one sort of consumption that helps you fit in 284 00:13:38,720 --> 00:13:41,640 Speaker 2: versus buying that Utah jazz jersey that you mentioned and 285 00:13:41,720 --> 00:13:44,560 Speaker 2: having like the three different versions but watching alone on 286 00:13:44,600 --> 00:13:46,520 Speaker 2: your TV at home, but you kind of sort of 287 00:13:46,520 --> 00:13:48,520 Speaker 2: feel like you fit in, but you don't really fit in. 288 00:13:48,800 --> 00:13:49,120 Speaker 3: I don't know. 289 00:13:49,160 --> 00:13:51,040 Speaker 1: I know that there's like like one leads to a 290 00:13:51,040 --> 00:13:54,200 Speaker 1: more ultimate community, yeah, versus one that feels a little 291 00:13:54,240 --> 00:13:57,440 Speaker 1: more virtual and like a little more artificial. Yeah exactly. 292 00:13:57,760 --> 00:13:59,880 Speaker 3: Yeah, Yeah, I think so. And I think if it's 293 00:14:00,240 --> 00:14:04,920 Speaker 3: facilitating actual interaction between people, that's great, and maybe it 294 00:14:04,960 --> 00:14:07,160 Speaker 3: is online that's totally fine. But I do think that 295 00:14:07,800 --> 00:14:10,280 Speaker 3: you see this a lot, you see I think where 296 00:14:10,320 --> 00:14:12,760 Speaker 3: it gets a little weird is when you see corporations 297 00:14:12,800 --> 00:14:17,480 Speaker 3: sort of use this as a means to get people 298 00:14:17,559 --> 00:14:19,400 Speaker 3: to buy so a lot of times today, you know, 299 00:14:19,480 --> 00:14:21,880 Speaker 3: certain brands have become almost a sort of religion where 300 00:14:21,880 --> 00:14:25,280 Speaker 3: people buy into them because they symbolize some other social 301 00:14:25,320 --> 00:14:27,320 Speaker 3: thing that they're trying to claim, yet they're not actually 302 00:14:27,320 --> 00:14:30,480 Speaker 3: doing anything social behind that behind that purchase. 303 00:14:30,600 --> 00:14:32,440 Speaker 1: That's right. Okay, So I guess while we're kind of 304 00:14:32,440 --> 00:14:35,160 Speaker 1: talking about buying stuff on the shopping front, like there's 305 00:14:35,200 --> 00:14:37,640 Speaker 1: research saying that, like with a website, it's got one 306 00:14:37,680 --> 00:14:41,920 Speaker 1: of those like stupid discount wheels that you spend like that, 307 00:14:41,960 --> 00:14:45,040 Speaker 1: folks end up spending more money. There are just some 308 00:14:45,080 --> 00:14:48,480 Speaker 1: of these different types of ways that were incentivized to 309 00:14:49,000 --> 00:14:51,960 Speaker 1: be parted with our dollars. How have you seen that 310 00:14:51,960 --> 00:14:53,520 Speaker 1: play out in some of the research that you've looked at. 311 00:14:53,760 --> 00:14:56,240 Speaker 3: Yeah, so I got so I live in Vegas, and 312 00:14:56,280 --> 00:15:01,720 Speaker 3: I got really interested in slot machines because this is 313 00:15:01,760 --> 00:15:04,280 Speaker 3: sort of the extreme end of people who just can't 314 00:15:04,280 --> 00:15:07,120 Speaker 3: seem to get enough. Right, So, Las Vegas, there are 315 00:15:07,120 --> 00:15:09,880 Speaker 3: slot machines everywhere and people play them around the clock. 316 00:15:09,960 --> 00:15:12,720 Speaker 3: Like I can go fill up my car with gas 317 00:15:12,720 --> 00:15:14,800 Speaker 3: and go into pay and there's slot machines in the 318 00:15:14,800 --> 00:15:17,280 Speaker 3: gas station. There's people playing them around the clock, and 319 00:15:17,320 --> 00:15:19,280 Speaker 3: you're just like, this doesn't this doesn't make any sense. 320 00:15:19,720 --> 00:15:22,240 Speaker 3: So long story short is that I start this, you know, 321 00:15:22,360 --> 00:15:26,920 Speaker 3: deep dive investigation into slot machines, and I end up 322 00:15:26,960 --> 00:15:29,960 Speaker 3: at this laboratory that is on the edge of town 323 00:15:29,960 --> 00:15:32,440 Speaker 3: in Las Vegas. But it is a sort of casino 324 00:15:32,560 --> 00:15:36,120 Speaker 3: laboratory hybrid. So it's this fully working, brand new casino, 325 00:15:36,680 --> 00:15:40,120 Speaker 3: but it is funded by not only the gambling industry 326 00:15:40,200 --> 00:15:43,320 Speaker 3: but also big tech, and it's used to figure out 327 00:15:43,400 --> 00:15:46,560 Speaker 3: what gets humans to gamble more, to buy more, to 328 00:15:46,600 --> 00:15:49,440 Speaker 3: do all these different behaviors. And while I'm there, I 329 00:15:49,520 --> 00:15:51,600 Speaker 3: end up talking to this guy who's a slot machine designer, 330 00:15:52,000 --> 00:15:53,680 Speaker 3: and he tells me about this thing that I call 331 00:15:53,760 --> 00:15:56,360 Speaker 3: the scarcity loop. And it's basically this three part behavior 332 00:15:56,400 --> 00:15:58,960 Speaker 3: loop that is really good at pushing people out of moderation. 333 00:16:00,040 --> 00:16:02,400 Speaker 3: So it's got three parts. It's got opportunity, it's got 334 00:16:02,480 --> 00:16:06,400 Speaker 3: unpredictable rewards, and it's got quick repeatability. So one, you 335 00:16:06,440 --> 00:16:08,800 Speaker 3: have an opportunity to get something of value that will 336 00:16:08,800 --> 00:16:12,360 Speaker 3: improve your life. Two unpredictable rewards, you know when you 337 00:16:12,400 --> 00:16:13,880 Speaker 3: will get that. You know you'll get that thing of 338 00:16:13,960 --> 00:16:16,600 Speaker 3: value at some point, but you aren't entirely sure when, 339 00:16:16,640 --> 00:16:18,720 Speaker 3: and you don't know how valuable it's gonna be. And 340 00:16:18,760 --> 00:16:21,720 Speaker 3: then three quick repeatability. You can immediately repeat the behavior 341 00:16:21,760 --> 00:16:23,600 Speaker 3: to try and get the rewarding thing over and over 342 00:16:23,640 --> 00:16:25,240 Speaker 3: and over. So if you think of a slot machine. 343 00:16:25,280 --> 00:16:28,120 Speaker 3: It's like you can win some money, you play a game. 344 00:16:28,160 --> 00:16:30,360 Speaker 3: You're not sure on any given game if you're gonna lose, 345 00:16:30,360 --> 00:16:32,000 Speaker 3: if you're gonna win a little, or if you're gonna 346 00:16:32,000 --> 00:16:34,120 Speaker 3: win a lot, but then you can repeat that game 347 00:16:34,160 --> 00:16:37,880 Speaker 3: over and over and over and over. Now, the reason 348 00:16:37,880 --> 00:16:41,000 Speaker 3: why this is important is because this exact same architecture 349 00:16:41,040 --> 00:16:43,880 Speaker 3: that's in the slot machine is also being put into 350 00:16:44,000 --> 00:16:49,200 Speaker 3: all sorts of different products and services and media stuff today. 351 00:16:49,240 --> 00:16:53,400 Speaker 3: So it's really what makes social media work. It's being 352 00:16:53,400 --> 00:16:56,680 Speaker 3: put into some personal finance apps, it's what makes dating 353 00:16:56,760 --> 00:17:00,880 Speaker 3: apps work. So well, there's just element elements of it 354 00:17:01,120 --> 00:17:05,199 Speaker 3: all over our lives right now and giving people those 355 00:17:05,320 --> 00:17:08,719 Speaker 3: unpredictable rewards. To bring it back to your question, so 356 00:17:08,760 --> 00:17:10,879 Speaker 3: when you put a wheel in front of someone with 357 00:17:10,920 --> 00:17:13,960 Speaker 3: a discount and they spend that wheel, there's this moment 358 00:17:14,000 --> 00:17:15,639 Speaker 3: of suspense where they're not sure if they're going to 359 00:17:15,640 --> 00:17:17,480 Speaker 3: get the big discount, the little discount or what. And 360 00:17:17,520 --> 00:17:21,240 Speaker 3: when that lands, that's exciting and that tends to compel behavior. 361 00:17:21,320 --> 00:17:22,200 Speaker 3: So you see a. 362 00:17:22,680 --> 00:17:24,440 Speaker 1: Six even if it's just ten percent off. 363 00:17:24,600 --> 00:17:27,040 Speaker 3: You know, even if it's ten percent off, and you 364 00:17:27,119 --> 00:17:32,679 Speaker 3: see a sixfold increase in conversion rates when companies put 365 00:17:32,920 --> 00:17:36,440 Speaker 3: the gambling wheel on their websites to sell something. 366 00:17:36,840 --> 00:17:38,840 Speaker 1: Yeah. What's interesting too, is you spend a lot of 367 00:17:38,840 --> 00:17:41,960 Speaker 1: time in your book talking about like dopamine and how 368 00:17:42,000 --> 00:17:45,200 Speaker 1: oftentimes that is confused with like, oh, dopamine, it's the 369 00:17:45,280 --> 00:17:48,280 Speaker 1: feel good chemical. But you clarify and I feel like 370 00:17:48,280 --> 00:17:50,600 Speaker 1: more research has been coming out recently that's talking about 371 00:17:50,600 --> 00:17:54,719 Speaker 1: how no, dopamine is the anticipation drug. Like it's it's 372 00:17:54,760 --> 00:17:57,480 Speaker 1: the chemical that's released as we are pursuing something or 373 00:17:57,520 --> 00:18:01,680 Speaker 1: as we are anticipating something, and oftentimes it's it's almost 374 00:18:01,760 --> 00:18:04,879 Speaker 1: like the chase, you know, being better than the reward. 375 00:18:04,920 --> 00:18:08,000 Speaker 1: Perhaps that that oftentimes we're so addicted to. Is that 376 00:18:08,040 --> 00:18:08,639 Speaker 1: what we're seeing. 377 00:18:08,920 --> 00:18:12,160 Speaker 3: Yeah, So there's there's different systems of the brain. Basically, 378 00:18:12,160 --> 00:18:15,679 Speaker 3: there's the liking system, which is a system that is 379 00:18:15,720 --> 00:18:18,000 Speaker 3: different than dopamine, but that is what actually gives you 380 00:18:18,040 --> 00:18:20,480 Speaker 3: the pleasure. And then there's the wanting system, and this 381 00:18:20,640 --> 00:18:25,080 Speaker 3: is what dopamine is involved in. So dopamine basically just 382 00:18:25,160 --> 00:18:29,000 Speaker 3: helps you pursue the pleasurable thing. And it's also somewhat 383 00:18:29,000 --> 00:18:32,119 Speaker 3: complicated because dopamine is involved in all these different processes 384 00:18:32,119 --> 00:18:35,680 Speaker 3: in the body, So things can get kind of oversimplified 385 00:18:35,680 --> 00:18:37,600 Speaker 3: to just like dopamine made me do it. It's like, 386 00:18:38,320 --> 00:18:40,600 Speaker 3: not really, it was just kind of there, you know. 387 00:18:40,800 --> 00:18:44,400 Speaker 2: Yeah, So you mentioned the scarcity loop, and you talked 388 00:18:44,400 --> 00:18:47,679 Speaker 2: about gambling, and you mentioned how all these other sorts 389 00:18:47,680 --> 00:18:50,640 Speaker 2: of things in our in our society are built kind 390 00:18:50,680 --> 00:18:55,439 Speaker 2: of based on this some of these same wiring to 391 00:18:55,520 --> 00:18:57,359 Speaker 2: try to get us to do things that might not 392 00:18:57,440 --> 00:19:00,000 Speaker 2: be in our own best interest. And makes me think 393 00:19:00,080 --> 00:19:05,480 Speaker 2: of an app like robin Hood, which is great democratization 394 00:19:05,520 --> 00:19:08,960 Speaker 2: of investing for all, except for this potentially fatal flaw 395 00:19:09,080 --> 00:19:12,239 Speaker 2: that causes people to invest their money or gamble their 396 00:19:12,240 --> 00:19:15,119 Speaker 2: money thinking they're investing. It also makes you think of 397 00:19:15,160 --> 00:19:17,159 Speaker 2: sports gambling. Do you have any thoughts on that? Like 398 00:19:17,200 --> 00:19:20,560 Speaker 2: it's it certainly seems like the rise of sports gambling. 399 00:19:20,600 --> 00:19:24,480 Speaker 2: And there's one thing about going and playing at a machine, 400 00:19:25,320 --> 00:19:27,119 Speaker 2: even at a gas station to where you live or 401 00:19:27,119 --> 00:19:30,000 Speaker 2: something like that. There's something very different about that than 402 00:19:30,040 --> 00:19:32,919 Speaker 2: having it in the palm of your hands, like hyper 403 00:19:32,960 --> 00:19:36,320 Speaker 2: optimized and targeted to try to get people to gamble 404 00:19:36,320 --> 00:19:38,760 Speaker 2: away as much of their money as they possibly can. 405 00:19:39,119 --> 00:19:41,479 Speaker 3: Yeah, So I think what we're talking about here really 406 00:19:41,720 --> 00:19:45,399 Speaker 3: is the quick repeatability angle, so to your point, so 407 00:19:45,440 --> 00:19:47,679 Speaker 3: that's the third part of the loop. So with with 408 00:19:47,720 --> 00:19:49,520 Speaker 3: the slot machines, it's like the slot machine is always 409 00:19:49,520 --> 00:19:51,960 Speaker 3: going to stay in the casino. You have to physically 410 00:19:51,960 --> 00:19:54,320 Speaker 3: go to the casino in order to play the slot machine. 411 00:19:54,760 --> 00:19:57,960 Speaker 3: But with sports betting apps, you can do that at 412 00:19:57,960 --> 00:20:01,480 Speaker 3: any time for whatever reason you want. Right, And another 413 00:20:01,520 --> 00:20:03,720 Speaker 3: thing that I think is really interesting with sports betting 414 00:20:03,760 --> 00:20:08,320 Speaker 3: apps is they've further increased the quicker peatability by allowing 415 00:20:08,359 --> 00:20:12,440 Speaker 3: people to make in game bets. So through the casino 416 00:20:12,560 --> 00:20:15,240 Speaker 3: industry's eyes, one of the issues with sports betting is 417 00:20:15,240 --> 00:20:17,560 Speaker 3: that you make a bet and then there's this time 418 00:20:17,600 --> 00:20:20,600 Speaker 3: delay until the game is over. Right, So a person 419 00:20:20,680 --> 00:20:22,960 Speaker 3: could make one bet, but then there's three hours until 420 00:20:23,000 --> 00:20:25,359 Speaker 3: they might make the next bet based on whether or 421 00:20:25,400 --> 00:20:27,880 Speaker 3: not they won or lost their bet on the previous game. 422 00:20:28,359 --> 00:20:30,919 Speaker 3: So in order to shorten that interval, because speed is 423 00:20:31,119 --> 00:20:35,880 Speaker 3: exceedingly important to the casino industry, people started a lot 424 00:20:35,880 --> 00:20:39,040 Speaker 3: of the companies started allowing people to make bets on Hey, 425 00:20:39,080 --> 00:20:41,879 Speaker 3: well the team score on this play. Are they going 426 00:20:41,960 --> 00:20:44,879 Speaker 3: to score a touchdown? Is the next basket going to 427 00:20:44,880 --> 00:20:46,879 Speaker 3: be a three pointer? All these different things that happen 428 00:20:47,440 --> 00:20:50,040 Speaker 3: throughout the game, so people can make these really quick 429 00:20:50,119 --> 00:20:53,000 Speaker 3: bets over and over and over as the game evolves. 430 00:20:53,240 --> 00:20:55,320 Speaker 1: That's right. Yeah, and again sort of like you're saying earlier, 431 00:20:55,480 --> 00:20:58,000 Speaker 1: this isn't necessarily to say that, hey, all sports betting 432 00:20:58,080 --> 00:21:00,000 Speaker 1: is bad, but like you said, to be a way 433 00:21:00,080 --> 00:21:02,800 Speaker 1: where as to what it is that's going on behind 434 00:21:02,800 --> 00:21:05,520 Speaker 1: the scenes and how I mean, I feel like at 435 00:21:05,520 --> 00:21:07,639 Speaker 1: the core of what you're writing about here with your 436 00:21:07,680 --> 00:21:11,639 Speaker 1: book is that these companies are they're looking for ways 437 00:21:11,640 --> 00:21:14,399 Speaker 1: to make money, whether it's through selling product, getting you 438 00:21:14,480 --> 00:21:17,760 Speaker 1: to gamble, whatever it is, and as you found, they 439 00:21:17,800 --> 00:21:20,479 Speaker 1: are using how it is that our brains are wired 440 00:21:20,520 --> 00:21:22,560 Speaker 1: against us to cause us to continue to do that 441 00:21:22,600 --> 00:21:26,320 Speaker 1: thing whatever it is, Yeah, that they're wanting you to do. 442 00:21:26,720 --> 00:21:28,280 Speaker 1: But Michael, we've got more to get to with you. 443 00:21:28,280 --> 00:21:29,760 Speaker 1: We got plenty more questions. We'll get to all that 444 00:21:29,880 --> 00:21:38,920 Speaker 1: right after this. All right, we're back. 445 00:21:38,960 --> 00:21:42,560 Speaker 2: We're still talking about overcoming our scarcity brain with Michael Easter. 446 00:21:43,080 --> 00:21:45,760 Speaker 2: His new book is just fantastic And if you want 447 00:21:45,760 --> 00:21:48,640 Speaker 2: a little or a lot of insight on how your 448 00:21:48,640 --> 00:21:51,360 Speaker 2: own brain works and then how you can fight back 449 00:21:51,400 --> 00:21:55,040 Speaker 2: against some of the ways that advertisers and companies and 450 00:21:55,200 --> 00:21:58,800 Speaker 2: technology companies in particular are trying to hijack that. This 451 00:21:58,840 --> 00:22:02,439 Speaker 2: book is incredible informative, Michael, I want to keep talking about, 452 00:22:02,440 --> 00:22:04,520 Speaker 2: like some of the problem that in some of the 453 00:22:04,560 --> 00:22:11,600 Speaker 2: ways in which companies are ever so insiduously impacting our ability, 454 00:22:11,600 --> 00:22:15,000 Speaker 2: our desire to spend to part us from our money, 455 00:22:15,000 --> 00:22:18,040 Speaker 2: maybe that we hadn't planned on being parted from. You've 456 00:22:18,040 --> 00:22:21,640 Speaker 2: talked about some of the newer Chinese websites. There's one 457 00:22:21,640 --> 00:22:24,360 Speaker 2: called Tamu, and it's funny, Matt and I we haven't 458 00:22:24,359 --> 00:22:26,439 Speaker 2: talked about these sites a whole lot, except for to 459 00:22:26,440 --> 00:22:28,560 Speaker 2: say that some of the stuff that it seems like 460 00:22:28,600 --> 00:22:31,520 Speaker 2: there's cheaper stuff being sold on a lot of these sites. 461 00:22:31,840 --> 00:22:35,000 Speaker 2: But you call them the crystal meth of shopping, and 462 00:22:35,040 --> 00:22:36,480 Speaker 2: so I'm like, okay, cool, I feel like I need 463 00:22:36,480 --> 00:22:38,880 Speaker 2: to do a little more digging. What makes them so addictive, 464 00:22:38,880 --> 00:22:39,960 Speaker 2: what makes them so dangerous? 465 00:22:40,520 --> 00:22:47,000 Speaker 3: Yeah, they use the scarcity loop probably better than any 466 00:22:47,040 --> 00:22:51,120 Speaker 3: other sites. So it is the unpredictable rewards. So when 467 00:22:51,160 --> 00:22:54,679 Speaker 3: you log onto Tamu, unless they've changed their site for 468 00:22:54,720 --> 00:22:58,840 Speaker 3: some reason, there's immediately you can get that pop up 469 00:22:58,920 --> 00:23:00,840 Speaker 3: like I just talked about with the wheel, right, and 470 00:23:00,880 --> 00:23:03,320 Speaker 3: you spin the wheel and you learn you get some discount, 471 00:23:03,320 --> 00:23:05,919 Speaker 3: and so then it's like, oh, I've just learned that 472 00:23:06,000 --> 00:23:09,040 Speaker 3: I'm going to I'm the winner, right, And I said, 473 00:23:09,040 --> 00:23:10,880 Speaker 3: you always get the big one on TIMMU, like there's 474 00:23:10,920 --> 00:23:14,879 Speaker 3: no actual gamble here, So then you're incentivized to purchase. 475 00:23:14,920 --> 00:23:18,560 Speaker 3: But then they have all these They use scarcity cues 476 00:23:18,600 --> 00:23:21,320 Speaker 3: really well. So it's like, we only have X number 477 00:23:21,400 --> 00:23:24,159 Speaker 3: of these items left, and then there's a timer going. 478 00:23:24,240 --> 00:23:27,600 Speaker 3: So this leverages scarcity and urgency, which are two of 479 00:23:27,600 --> 00:23:29,480 Speaker 3: the best sales tools that you can use. Right, we 480 00:23:29,560 --> 00:23:31,119 Speaker 3: only have one and by the way, you got to 481 00:23:31,119 --> 00:23:34,000 Speaker 3: make a decision in the next five minutes. That'll get 482 00:23:34,040 --> 00:23:37,800 Speaker 3: someone to make a purchase, better, better than anything you 483 00:23:37,840 --> 00:23:40,320 Speaker 3: can really use. But even even Amazon uses this. So 484 00:23:40,320 --> 00:23:43,000 Speaker 3: when you go onto Amazon, if there's a short supply, 485 00:23:43,040 --> 00:23:46,080 Speaker 3: it'll say only three left or only five left right, 486 00:23:46,119 --> 00:23:49,119 Speaker 3: because that leads people, it makes people more likely to 487 00:23:49,640 --> 00:23:52,200 Speaker 3: click that buy button. I mean, there's a good Amazon 488 00:23:52,240 --> 00:23:54,840 Speaker 3: doesn't do anything on accident. They're not just being like, hey, 489 00:23:55,040 --> 00:23:59,280 Speaker 3: heads up. They know that that'll lead to people making purchases. 490 00:23:58,960 --> 00:24:01,800 Speaker 2: Probably, So it's really being shipped to an Amazon warehouse 491 00:24:01,960 --> 00:24:04,960 Speaker 2: as they as that exists on the website, but still 492 00:24:05,000 --> 00:24:07,040 Speaker 2: they want you to make you want it, to make 493 00:24:07,040 --> 00:24:08,320 Speaker 2: you feel like you got to buy it now. 494 00:24:08,520 --> 00:24:11,880 Speaker 3: Yeah, exactly. And you know with all these with all 495 00:24:11,920 --> 00:24:15,399 Speaker 3: these levers that get pulled, and you know, they get 496 00:24:15,480 --> 00:24:18,280 Speaker 3: pulled that buy all different companies for all different means 497 00:24:18,359 --> 00:24:21,000 Speaker 3: to lead us to you know, eat more food, to 498 00:24:21,080 --> 00:24:22,920 Speaker 3: lead us to gamble more, to lead us to buy more. 499 00:24:23,280 --> 00:24:27,040 Speaker 3: I don't necessarily blame the corporations. I mean, their job 500 00:24:27,119 --> 00:24:31,320 Speaker 3: is to make their job is to sell stuff, So 501 00:24:31,400 --> 00:24:33,640 Speaker 3: it really becomes up to us to figure out, Okay, 502 00:24:33,680 --> 00:24:35,720 Speaker 3: how can I interrupt this loop and how can I 503 00:24:35,760 --> 00:24:40,439 Speaker 3: take some agency here exactly to help myself, because you know, 504 00:24:40,720 --> 00:24:42,439 Speaker 3: I don't see a future where all of a sudden, 505 00:24:42,520 --> 00:24:45,560 Speaker 3: the government is regulating all these shopping websites and regulating 506 00:24:45,680 --> 00:24:48,959 Speaker 3: whether you know, food companies can make, how delicious their 507 00:24:49,000 --> 00:24:52,320 Speaker 3: food can be, and whether gambling companies can do X 508 00:24:52,400 --> 00:24:55,439 Speaker 3: y Z. I mean, gambling's pretty heavily regulated, but you 509 00:24:55,480 --> 00:24:58,320 Speaker 3: know it's always going to be there. And you know, frankly, 510 00:24:58,359 --> 00:25:03,080 Speaker 3: when you think of something like take social media, what 511 00:25:03,200 --> 00:25:07,760 Speaker 3: makes videos compelling is that they're really exciting. They leverage 512 00:25:07,800 --> 00:25:11,440 Speaker 3: on elements of the scarcity loop, and so in order 513 00:25:11,520 --> 00:25:14,120 Speaker 3: to sort of slow people down watching say, YouTube video 514 00:25:14,160 --> 00:25:17,119 Speaker 3: after YouTube video, you would need to ask the YouTube 515 00:25:17,119 --> 00:25:19,480 Speaker 3: creators to make videos that were more boring. And it's like, 516 00:25:19,520 --> 00:25:21,399 Speaker 3: do we really want to do that? No, it's like 517 00:25:21,440 --> 00:25:24,120 Speaker 3: you really need to kind of kind of figure out 518 00:25:24,119 --> 00:25:26,760 Speaker 3: some simple tactics that you can use to live better 519 00:25:26,800 --> 00:25:29,360 Speaker 3: in this kind of strange but amazing world we live 520 00:25:29,359 --> 00:25:29,640 Speaker 3: in now. 521 00:25:30,320 --> 00:25:32,320 Speaker 1: Yeah. Yeah, So, as you're talking about YouTube, that made 522 00:25:32,359 --> 00:25:33,960 Speaker 1: me think about like one of the anecdotes you give 523 00:25:33,960 --> 00:25:36,720 Speaker 1: in your book is about a professor and he's like 524 00:25:36,720 --> 00:25:40,600 Speaker 1: an architect and he was building legos with his kid, 525 00:25:41,240 --> 00:25:44,640 Speaker 1: and the way his son went about solving the problem 526 00:25:45,320 --> 00:25:47,399 Speaker 1: was vastly different than how it was that he was 527 00:25:47,560 --> 00:25:50,120 Speaker 1: trying to solve that problem. A go ahead and share 528 00:25:50,119 --> 00:25:54,080 Speaker 1: that story with folks, but then be what is it? Well, yeah, 529 00:25:54,480 --> 00:25:57,280 Speaker 1: let's start there. Share that story because I want to 530 00:25:57,280 --> 00:26:00,439 Speaker 1: follow up with what you said about the YouTube content 531 00:26:00,480 --> 00:26:03,520 Speaker 1: creators and potentially creating less stuff and how that's not 532 00:26:03,560 --> 00:26:07,320 Speaker 1: the solution. But yeah, can you talk about specifically that 533 00:26:07,400 --> 00:26:08,600 Speaker 1: lego anecdote? 534 00:26:08,760 --> 00:26:11,520 Speaker 3: Yeah? Yeah, So this guy his name's LIGHTI Klots and 535 00:26:11,560 --> 00:26:13,920 Speaker 3: he's a professor of engineering. He's probably one of the 536 00:26:13,920 --> 00:26:17,439 Speaker 3: best engineers in the country. And he's playing legos with 537 00:26:17,480 --> 00:26:20,400 Speaker 3: his son and they're making this bridge. And once they 538 00:26:20,440 --> 00:26:22,639 Speaker 3: go to connect the bridge, they got the two pillars, 539 00:26:22,680 --> 00:26:24,920 Speaker 3: and then they connect the span to the two pillars, 540 00:26:25,520 --> 00:26:28,520 Speaker 3: they find that the bridge is wonky because they have 541 00:26:28,600 --> 00:26:31,199 Speaker 3: one pillar that is taller than the other pillar. So 542 00:26:31,240 --> 00:26:33,720 Speaker 3: this thing is the span is in an angle. So, 543 00:26:34,440 --> 00:26:36,440 Speaker 3: you know, mister engineer goes, all right, I mean, we 544 00:26:36,720 --> 00:26:38,560 Speaker 3: can solve this problem. He turns around and he starts 545 00:26:38,640 --> 00:26:41,040 Speaker 3: rifling through the lego bucket to find the you know, 546 00:26:41,080 --> 00:26:43,680 Speaker 3: the blocks he needs in order to elevate the second span. 547 00:26:44,680 --> 00:26:47,359 Speaker 3: But when he turns back with the legos, he realizes 548 00:26:47,480 --> 00:26:50,720 Speaker 3: that his son has done something really interesting, and that's 549 00:26:50,760 --> 00:26:54,119 Speaker 3: that he solved the problem by simply removing blocks from 550 00:26:54,160 --> 00:26:58,920 Speaker 3: the taller span. Now, this solution did not occur to 551 00:26:59,000 --> 00:27:02,120 Speaker 3: him in the least, like, not at all. He immediately went, oh, 552 00:27:02,119 --> 00:27:04,680 Speaker 3: we need to add more resources to solve this problem. 553 00:27:05,359 --> 00:27:08,919 Speaker 3: So he wonders, you know, I am I a weirdo? 554 00:27:09,160 --> 00:27:12,320 Speaker 3: Am I unique? What he does is he gets the 555 00:27:12,640 --> 00:27:15,399 Speaker 3: bridge and he makes it again, so it's kind of 556 00:27:15,440 --> 00:27:18,320 Speaker 3: wonky with the taller and shorter pillar. And he starts 557 00:27:18,359 --> 00:27:22,000 Speaker 3: taking this around UVA campus and when he has meetings 558 00:27:22,000 --> 00:27:25,199 Speaker 3: with other professors and with grad students, he'll pull out 559 00:27:25,240 --> 00:27:26,760 Speaker 3: the bridge and he'll say, all right, fix this, and 560 00:27:26,800 --> 00:27:29,320 Speaker 3: he'll have you know, legos on the table. Every single 561 00:27:29,359 --> 00:27:32,840 Speaker 3: person tries to solve the problem by adding more legos, 562 00:27:33,280 --> 00:27:37,119 Speaker 3: by adding more resources, even though taking away legos is 563 00:27:37,119 --> 00:27:39,680 Speaker 3: a better solution because then you have more resources. Right. 564 00:27:40,359 --> 00:27:43,560 Speaker 3: So he long story short is this leads him to 565 00:27:43,840 --> 00:27:47,080 Speaker 3: study this phenomenon, set up a bunch of different experiments, 566 00:27:47,600 --> 00:27:51,119 Speaker 3: and he finds that basically people are programmed to add, 567 00:27:51,520 --> 00:27:55,000 Speaker 3: so when we try to solve problems, we typically throw 568 00:27:55,080 --> 00:27:59,600 Speaker 3: resources at them if we can, even when subtraction is 569 00:27:59,640 --> 00:28:02,919 Speaker 3: the better. So it's not that adding or subtracting is 570 00:28:02,960 --> 00:28:06,520 Speaker 3: any better. But if we aren't even considering subtraction, like, 571 00:28:06,840 --> 00:28:08,800 Speaker 3: that's not good. Right. We want to have all our 572 00:28:08,800 --> 00:28:11,480 Speaker 3: options on the table, and yet we tend to add, 573 00:28:11,520 --> 00:28:13,360 Speaker 3: and as we get more and more resources, we tend 574 00:28:13,440 --> 00:28:16,080 Speaker 3: to just pile on and pile on and pile on. 575 00:28:16,160 --> 00:28:17,840 Speaker 1: Yeah. Yeah, And that that kind of alludes to the 576 00:28:17,880 --> 00:28:19,560 Speaker 1: scarcity to bring So the reason I wanted you to 577 00:28:19,560 --> 00:28:22,320 Speaker 1: share that is like, as you mentioned the YouTube creators, 578 00:28:22,440 --> 00:28:29,520 Speaker 1: I guess I started to internally wrestle with man. Yes, institutions, creatives, publishers, writers, 579 00:28:29,960 --> 00:28:32,600 Speaker 1: We're not necessarily going to slow down in this stuff 580 00:28:32,600 --> 00:28:34,600 Speaker 1: that is created out there in the world. And so 581 00:28:34,760 --> 00:28:38,760 Speaker 1: on one hand, you have creatives, and you've got companies 582 00:28:38,800 --> 00:28:42,400 Speaker 1: and institutions that are going to continue to produce. But 583 00:28:42,480 --> 00:28:44,640 Speaker 1: on the other hand, we have just as much time 584 00:28:45,000 --> 00:28:47,400 Speaker 1: in our limited days, like we have just as much money. 585 00:28:47,800 --> 00:28:49,840 Speaker 1: It's almost like, in one hand, things are going to 586 00:28:49,880 --> 00:28:54,720 Speaker 1: continue to exponentially caliper in quantity. But it means I 587 00:28:54,760 --> 00:28:57,800 Speaker 1: guess that on an individual level, it's more important than 588 00:28:57,800 --> 00:29:00,400 Speaker 1: ever for us to figure out how it is that 589 00:29:00,440 --> 00:29:03,600 Speaker 1: we can say no to a lot of that stuff. 590 00:29:03,640 --> 00:29:05,320 Speaker 1: Would you say that that's true, how we can say 591 00:29:05,360 --> 00:29:09,480 Speaker 1: no to just the quantities of solutions at our fingertips 592 00:29:09,480 --> 00:29:14,040 Speaker 1: are food or media, right, like the information you spend 593 00:29:14,080 --> 00:29:16,000 Speaker 1: a chapter talking about that there's so much that's at 594 00:29:16,000 --> 00:29:18,560 Speaker 1: our fingertips. It seems like it's more important than ever 595 00:29:18,560 --> 00:29:21,640 Speaker 1: for us to figure out how to regulate heart take. 596 00:29:22,120 --> 00:29:24,880 Speaker 3: Yeah, yeah, totally, And I mean I think one great 597 00:29:24,920 --> 00:29:28,800 Speaker 3: way to do this is, so I told you about 598 00:29:28,800 --> 00:29:33,360 Speaker 3: the scarcity loop. If you interrupt or change or remove 599 00:29:33,520 --> 00:29:36,200 Speaker 3: any of the three parts, that tends to reduce the 600 00:29:36,240 --> 00:29:39,280 Speaker 3: frequency that you will do a behavior. So I'll give 601 00:29:39,320 --> 00:29:43,760 Speaker 3: you a couple examples. Availability, so opportunity. If you can 602 00:29:43,800 --> 00:29:46,960 Speaker 3: just take away the opportunity to do something, that will 603 00:29:47,000 --> 00:29:48,960 Speaker 3: reduce the amount of time to do it. So a 604 00:29:49,000 --> 00:29:51,960 Speaker 3: simple rule of saying, look, I'm only going to make 605 00:29:52,160 --> 00:29:55,840 Speaker 3: purchases in person because that's a huge barrier to entry, 606 00:29:56,440 --> 00:29:58,920 Speaker 3: or saying like I have a problem with this young food. 607 00:29:59,240 --> 00:30:01,360 Speaker 3: It's so simple, but it's like, well, don't keep it 608 00:30:01,400 --> 00:30:08,000 Speaker 3: in the house, right. You can change how rewarding something is. 609 00:30:08,040 --> 00:30:11,840 Speaker 3: You can change the unpredictable rewards. So there's some fascinating 610 00:30:11,880 --> 00:30:14,680 Speaker 3: research on cell phone use, and one of the reasons 611 00:30:14,680 --> 00:30:18,920 Speaker 3: that cell phones are so interesting and compelling is the 612 00:30:19,280 --> 00:30:22,480 Speaker 3: rewards through the bright screens and all the different colors 613 00:30:22,480 --> 00:30:25,840 Speaker 3: you see. So when people put their phones into grayscale, 614 00:30:26,160 --> 00:30:29,080 Speaker 3: that reduces how rewarding and stimulating the phone is, and 615 00:30:29,120 --> 00:30:31,840 Speaker 3: people's cell phone time tends to drop by about an 616 00:30:31,840 --> 00:30:35,120 Speaker 3: hour a day in studies. And then finally you can 617 00:30:35,160 --> 00:30:38,120 Speaker 3: slow down the behavior as well. There's an app that 618 00:30:38,160 --> 00:30:40,600 Speaker 3: I really love for people who spend too much time 619 00:30:40,600 --> 00:30:43,640 Speaker 3: on certain apps, and it's called clear Space. And basically 620 00:30:43,640 --> 00:30:47,560 Speaker 3: what this app does it leans on behavioral psychology and 621 00:30:47,880 --> 00:30:51,200 Speaker 3: it inserts a pause before you want to use any app. 622 00:30:51,280 --> 00:30:53,440 Speaker 3: So it goes, I'm sure you want to use this 623 00:30:53,480 --> 00:30:54,680 Speaker 3: app when you go to open it, and you have 624 00:30:54,720 --> 00:30:56,480 Speaker 3: to go yes, and it goes, okay, let's take a 625 00:30:56,480 --> 00:30:58,440 Speaker 3: breath together, you know, and you have to take a 626 00:30:58,440 --> 00:31:01,080 Speaker 3: breath for ten seconds, and then you have to go 627 00:31:01,400 --> 00:31:02,600 Speaker 3: and then it asks you how long do you want 628 00:31:02,640 --> 00:31:05,880 Speaker 3: to use the app? Because now it's like it realizes 629 00:31:05,880 --> 00:31:07,040 Speaker 3: you're going to go off the rail, so you go 630 00:31:07,080 --> 00:31:08,520 Speaker 3: to okay, I'm going to use it for ten minutes, 631 00:31:09,120 --> 00:31:12,160 Speaker 3: and that will. I mean, it's laning on psychology that 632 00:31:12,200 --> 00:31:14,920 Speaker 3: we've known work since the forties, and it definitely reduces 633 00:31:14,920 --> 00:31:17,960 Speaker 3: the frequency of app use. And so I think it's 634 00:31:18,000 --> 00:31:21,560 Speaker 3: finding useful tools and tricks to get around the scarcity 635 00:31:21,680 --> 00:31:23,760 Speaker 3: loop are the way to combat it. 636 00:31:23,840 --> 00:31:26,160 Speaker 2: Really to help us do the things we actually want 637 00:31:26,160 --> 00:31:28,479 Speaker 2: to do over the long term, as opposed to the 638 00:31:28,520 --> 00:31:30,320 Speaker 2: things we think we want to do right in the. 639 00:31:30,240 --> 00:31:30,880 Speaker 1: Heat of the moment. 640 00:31:31,680 --> 00:31:33,120 Speaker 2: Because the truth is there's a lot of things I 641 00:31:33,120 --> 00:31:34,600 Speaker 2: want to do in the heat of the moment that 642 00:31:34,600 --> 00:31:38,280 Speaker 2: aren't really helping me in my bigger goals. And that 643 00:31:38,400 --> 00:31:41,560 Speaker 2: is what getting sucked into twenty minutes of doom scrolling 644 00:31:41,920 --> 00:31:42,960 Speaker 2: is for a lot of people. At the end of 645 00:31:43,000 --> 00:31:45,480 Speaker 2: the night, it's like, that's not how I expected or 646 00:31:45,480 --> 00:31:48,320 Speaker 2: hoped to spend my evening. It just kind of became 647 00:31:48,360 --> 00:31:50,920 Speaker 2: the default and the easy thing to do, and that's 648 00:31:50,960 --> 00:31:54,360 Speaker 2: what our phones are. The data also finds that thinking 649 00:31:54,360 --> 00:31:58,600 Speaker 2: about long term consequences can help cool cravings. Right, so 650 00:31:58,800 --> 00:32:03,120 Speaker 2: thinking maybe about out how doing something like that, doing 651 00:32:03,120 --> 00:32:08,080 Speaker 2: something negative, going down that rabbit hole could seeing how 652 00:32:08,200 --> 00:32:10,880 Speaker 2: wait a second, that might actually help or hurt me 653 00:32:11,120 --> 00:32:13,000 Speaker 2: in my ability to achieve the thing I want to 654 00:32:13,000 --> 00:32:15,640 Speaker 2: achieve ten years down the road. How do we connect 655 00:32:15,640 --> 00:32:18,280 Speaker 2: those dots. It makes me think of like a Fidelity 656 00:32:18,320 --> 00:32:20,320 Speaker 2: did this study back in the day about if we 657 00:32:20,480 --> 00:32:24,400 Speaker 2: just looked at like a picture of ourselves that was 658 00:32:24,600 --> 00:32:26,920 Speaker 2: thirty had thirty years of age on it, where Matt 659 00:32:26,920 --> 00:32:28,920 Speaker 2: and I look like we're grandpa's instead of like, you know, 660 00:32:29,080 --> 00:32:32,000 Speaker 2: geriatric millennials. How that makes an impact on how much 661 00:32:32,040 --> 00:32:34,800 Speaker 2: people save and invest for their future and it has 662 00:32:34,840 --> 00:32:36,960 Speaker 2: a real, real impact. It helps people connect the dots. 663 00:32:36,960 --> 00:32:39,040 Speaker 2: Are there other ways that we can kind of connect 664 00:32:39,040 --> 00:32:40,600 Speaker 2: those long term dots in our lives? 665 00:32:40,960 --> 00:32:45,440 Speaker 3: Yeah, I think it's The research on smoking is really interesting, 666 00:32:45,520 --> 00:32:49,840 Speaker 3: so scientists will have smokers even just think about the 667 00:32:49,880 --> 00:32:53,280 Speaker 3: long term consequences of smoking cancer things like that, and 668 00:32:53,400 --> 00:32:56,760 Speaker 3: smoking behavior tends to reduce I mean, I think really 669 00:32:56,800 --> 00:32:59,760 Speaker 3: it is. It is a little bit of an uphill 670 00:33:00,240 --> 00:33:04,120 Speaker 3: swim because we are surrounded in so many stimulating things. 671 00:33:04,160 --> 00:33:06,760 Speaker 3: And I'm also not saying that no one should ever 672 00:33:07,040 --> 00:33:12,120 Speaker 3: have any fun ever again, but I do think trying 673 00:33:12,120 --> 00:33:17,040 Speaker 3: to insert pause and make sure you're doing behaviors consciously 674 00:33:17,320 --> 00:33:20,280 Speaker 3: is really the answer. And again, it's like people really 675 00:33:20,320 --> 00:33:23,760 Speaker 3: get just trapped in this scarcity loop. It's what makes 676 00:33:23,800 --> 00:33:26,720 Speaker 3: people zone out to phones, is what makes people zone 677 00:33:26,720 --> 00:33:31,040 Speaker 3: out to slot machines. All these different behaviors and understanding 678 00:33:31,040 --> 00:33:32,959 Speaker 3: the mechanics of that is one of the first ways 679 00:33:33,000 --> 00:33:34,640 Speaker 3: to stop it exactly. 680 00:33:34,680 --> 00:33:37,880 Speaker 1: Plus, you know, going in for that elementary school presentation 681 00:33:37,920 --> 00:33:40,880 Speaker 1: when they brought the lungs in suspended in all to hide, 682 00:33:41,120 --> 00:33:43,480 Speaker 1: you saw the oh, you saw the lungs that were 683 00:33:43,600 --> 00:33:46,520 Speaker 1: the smoker's lungs, and then the lungs that were not right, Michael, Well, 684 00:33:46,560 --> 00:33:48,840 Speaker 1: that's totally talking about smoking. 685 00:33:48,840 --> 00:33:50,560 Speaker 2: It makes me all the changes that have happened, one 686 00:33:50,600 --> 00:33:54,120 Speaker 2: to cigarette cartons, two to where cigarettes are kept in 687 00:33:54,160 --> 00:33:56,520 Speaker 2: a gas station, think about what happens in Europe, like 688 00:33:56,560 --> 00:34:00,440 Speaker 2: the way they label the cigarettes over there, and all 689 00:34:00,520 --> 00:34:05,920 Speaker 2: of those extra roadblocks essentially to buying cigarettes are participating 690 00:34:05,960 --> 00:34:09,239 Speaker 2: in the smoking community. I think has is part of 691 00:34:09,239 --> 00:34:13,000 Speaker 2: what's dramatically led to a reduction in smoking. So you 692 00:34:13,040 --> 00:34:15,719 Speaker 2: can't necessarily throw it all on like one thing. Oh 693 00:34:15,719 --> 00:34:20,320 Speaker 2: it was it was abstinence smoking, abstinence talks in elementary 694 00:34:20,320 --> 00:34:21,400 Speaker 2: school or something like that. 695 00:34:21,320 --> 00:34:23,320 Speaker 1: All scared straight, right exactly. 696 00:34:23,680 --> 00:34:25,960 Speaker 2: It's maybe some of that, right, But then it's all 697 00:34:26,000 --> 00:34:29,600 Speaker 2: these other things too that just kind of remove smoking 698 00:34:29,680 --> 00:34:33,560 Speaker 2: from consciousness and make it more of like kind of 699 00:34:33,600 --> 00:34:36,439 Speaker 2: a rebrand it in like a grotesque sort of way. 700 00:34:36,800 --> 00:34:39,480 Speaker 2: So yeah, that's fascinating. But we got a few more 701 00:34:39,560 --> 00:34:41,920 Speaker 2: questions to get to with you, Michael, specifically about like 702 00:34:41,960 --> 00:34:44,839 Speaker 2: how to use gamification maybe to push us on our 703 00:34:44,880 --> 00:34:46,799 Speaker 2: path to achieve the things we want instead of having 704 00:34:46,840 --> 00:34:48,400 Speaker 2: it prevent us from doing that. 705 00:34:48,640 --> 00:34:58,360 Speaker 1: We'll talk about that right after this. All right, we 706 00:34:58,400 --> 00:35:00,400 Speaker 1: are back and again we're talking about how you can 707 00:35:00,440 --> 00:35:04,560 Speaker 1: overcome your scarcity brain with Michael Easter and Michael, like 708 00:35:04,640 --> 00:35:09,200 Speaker 1: Joel mentioned before the break, gamification is really interesting because 709 00:35:09,239 --> 00:35:11,200 Speaker 1: it can I feel like we've talked about just all 710 00:35:11,239 --> 00:35:14,520 Speaker 1: the bad ways that gamification is being used against us, 711 00:35:14,880 --> 00:35:18,200 Speaker 1: but simultaneously it can be a really positive thing. I 712 00:35:18,239 --> 00:35:20,840 Speaker 1: mentioned my brand new garment watch that Joel talked to 713 00:35:20,840 --> 00:35:24,320 Speaker 1: me in the game. But it's got this this score 714 00:35:24,360 --> 00:35:26,200 Speaker 1: that I'm looking at right now. It's called VO two 715 00:35:26,320 --> 00:35:30,080 Speaker 1: max and it's this singular number that I'm able to 716 00:35:30,120 --> 00:35:33,360 Speaker 1: look at, And man, do I want to game my 717 00:35:33,520 --> 00:35:37,600 Speaker 1: watch so that I see that number grow? By the way, 718 00:35:38,080 --> 00:35:41,480 Speaker 1: It's not even possible. Come on, But yeah, talk to 719 00:35:41,520 --> 00:35:44,319 Speaker 1: us how gamification how it can be so effective when 720 00:35:44,320 --> 00:35:47,719 Speaker 1: it comes to our ability to change our behavior, whether 721 00:35:47,800 --> 00:35:49,279 Speaker 1: for negative or for good. 722 00:35:49,360 --> 00:35:52,040 Speaker 3: Yeah. Well, one thing that I'll start with, because this 723 00:35:52,560 --> 00:35:56,320 Speaker 3: audience is interested in finance, is that numbers are pretty 724 00:35:56,360 --> 00:35:59,760 Speaker 3: new in the grand scheme of time and space. There 725 00:35:59,800 --> 00:36:03,120 Speaker 3: are are actually still some tribes in the world in 726 00:36:03,160 --> 00:36:06,360 Speaker 3: the Amazon that don't use numbers. So researchers think that 727 00:36:06,440 --> 00:36:09,600 Speaker 3: humans basically evolved thinking being able to count basically up 728 00:36:09,640 --> 00:36:13,200 Speaker 3: to three and then everything thereafter we would use small, medium, 729 00:36:13,239 --> 00:36:16,960 Speaker 3: and large designations for all different things. Yeah, so numbers 730 00:36:16,960 --> 00:36:18,959 Speaker 3: get invented. I think it was about ten thousand years ago, 731 00:36:19,160 --> 00:36:22,480 Speaker 3: and this very much changes our behavior and what we 732 00:36:22,520 --> 00:36:24,480 Speaker 3: do because now we can quantify things, We can be 733 00:36:24,520 --> 00:36:28,560 Speaker 3: more precise, and numbers allow us to really just take 734 00:36:28,880 --> 00:36:34,480 Speaker 3: a big swath of some big concept and make it simple. Right, So, 735 00:36:34,560 --> 00:36:37,520 Speaker 3: if you think about I'll use your VO two max. Thing. 736 00:36:37,880 --> 00:36:41,000 Speaker 3: Why we care about VO two max is because it's 737 00:36:41,040 --> 00:36:43,839 Speaker 3: a marker of health, it's a marker of fitness, and 738 00:36:45,160 --> 00:36:47,720 Speaker 3: allowing being able to put a number on it basically 739 00:36:47,760 --> 00:36:50,680 Speaker 3: just tells you how you are doing. But really, when 740 00:36:50,760 --> 00:36:52,799 Speaker 3: you look at the big picture, it's like, okay, well 741 00:36:52,840 --> 00:36:54,600 Speaker 3: why do we care about health? And how do we 742 00:36:54,640 --> 00:36:56,520 Speaker 3: define health? And what is fitness to us? What do 743 00:36:56,520 --> 00:36:59,040 Speaker 3: you mean? Right? It's a big, complicated concept with a 744 00:36:59,040 --> 00:37:01,840 Speaker 3: lot of different answers. It's really murky. So what numbers 745 00:37:01,880 --> 00:37:04,680 Speaker 3: just allow us to sort of understand things very quickly. 746 00:37:05,360 --> 00:37:07,040 Speaker 3: And so when I think about it in terms of 747 00:37:07,120 --> 00:37:10,040 Speaker 3: gamification and how it can help us, it can help 748 00:37:10,080 --> 00:37:13,720 Speaker 3: people do behaviors that they want to do and easily 749 00:37:13,760 --> 00:37:17,200 Speaker 3: measure their progress along the way. So with you, it's like, 750 00:37:17,440 --> 00:37:19,120 Speaker 3: if you can get that, if you can do these 751 00:37:19,120 --> 00:37:21,000 Speaker 3: things that are going to get that VO two max 752 00:37:21,680 --> 00:37:25,239 Speaker 3: up that number, you can be rather sure that you've 753 00:37:25,239 --> 00:37:27,600 Speaker 3: done some things that are probably going to move you 754 00:37:27,640 --> 00:37:31,000 Speaker 3: away from disease. For me, it could be like, I 755 00:37:31,040 --> 00:37:33,120 Speaker 3: don't know. I'm sure there's finance apps out there that 756 00:37:33,160 --> 00:37:36,520 Speaker 3: are using gamification to get people to save more or 757 00:37:36,560 --> 00:37:39,040 Speaker 3: to invest more, or to you guys would know better 758 00:37:39,120 --> 00:37:44,759 Speaker 3: about those than I would. I think the problem is 759 00:37:44,840 --> 00:37:50,080 Speaker 3: when we focus on the number only without asking, well, 760 00:37:50,080 --> 00:37:51,680 Speaker 3: why do I care about this number in the first place? 761 00:37:51,920 --> 00:37:52,120 Speaker 1: Yeah? 762 00:37:52,520 --> 00:37:54,680 Speaker 2: Right, So, well that makes me think of like there 763 00:37:54,760 --> 00:37:58,160 Speaker 2: was a credit union in Michigan, and then there was 764 00:37:58,400 --> 00:38:00,480 Speaker 2: a bank that launched something really similar or it hasn't 765 00:38:00,480 --> 00:38:02,080 Speaker 2: taken off quite as much as I would have hoped, 766 00:38:02,280 --> 00:38:05,640 Speaker 2: but instead of paying higher savings rates to everybody, it 767 00:38:06,880 --> 00:38:08,759 Speaker 2: had like a lottery sort of aspect to it. Right, 768 00:38:09,080 --> 00:38:11,880 Speaker 2: So everybody gets paid instead of five percent, maybe they 769 00:38:11,920 --> 00:38:14,720 Speaker 2: get paid two percent. But then there's winners every single 770 00:38:14,719 --> 00:38:17,640 Speaker 2: week where if you hit certain savings targets, you're eligible 771 00:38:17,760 --> 00:38:19,680 Speaker 2: you can win a thousand bucks, five thousand bucks, ten 772 00:38:19,719 --> 00:38:22,600 Speaker 2: thousand bucks stuff like that, and that actually, even though 773 00:38:22,600 --> 00:38:25,640 Speaker 2: maybe less money overall is going out to the average person, 774 00:38:25,960 --> 00:38:29,920 Speaker 2: because there's a gamification aspect to savings, it pushes people 775 00:38:30,040 --> 00:38:32,400 Speaker 2: harder in that direction. And that's the kind of stuff 776 00:38:32,400 --> 00:38:37,800 Speaker 2: that like, it's not making companies as much money as 777 00:38:38,000 --> 00:38:40,719 Speaker 2: let's say, getting people to spend. It's not going to 778 00:38:40,800 --> 00:38:43,600 Speaker 2: get funded in nearly the same way. But I love 779 00:38:43,600 --> 00:38:45,920 Speaker 2: to see stuff like that on the gamification side that 780 00:38:45,960 --> 00:38:48,799 Speaker 2: push people towards like the good habits that we want 781 00:38:48,840 --> 00:38:49,880 Speaker 2: to see them express. 782 00:38:50,080 --> 00:38:52,640 Speaker 3: Yeah, totally, And I think it is you know what 783 00:38:52,640 --> 00:38:54,799 Speaker 3: I think about it from a financial perspective, It is 784 00:38:54,840 --> 00:38:58,279 Speaker 3: like the reason you care about saving in the first 785 00:38:58,280 --> 00:38:59,640 Speaker 3: place is that you don't want to end up in 786 00:38:59,640 --> 00:39:03,600 Speaker 3: a position where you are more constrained where you end up, 787 00:39:03,719 --> 00:39:05,920 Speaker 3: you know, older, and you're out of money, and now 788 00:39:05,920 --> 00:39:10,080 Speaker 3: you've got all these problems. At the same time, when 789 00:39:10,080 --> 00:39:12,480 Speaker 3: I think about salary, it's like, we all want to 790 00:39:12,480 --> 00:39:14,440 Speaker 3: see the salary number go up, But then the question 791 00:39:14,560 --> 00:39:17,799 Speaker 3: is why right, because ideally it allows us to live 792 00:39:17,960 --> 00:39:20,319 Speaker 3: more free or a better lifestyle. Now. At the same time, 793 00:39:21,880 --> 00:39:24,239 Speaker 3: pushing the salary number up over time, over time might 794 00:39:24,280 --> 00:39:27,440 Speaker 3: actually require you to do things that make you less happy, 795 00:39:27,640 --> 00:39:30,040 Speaker 3: that make you less free, right, so that number. Wanting 796 00:39:30,080 --> 00:39:31,799 Speaker 3: that number to go up can start to constrain you. 797 00:39:31,920 --> 00:39:34,839 Speaker 3: The bigger question is like what is this what does 798 00:39:34,880 --> 00:39:37,200 Speaker 3: this number stand for? Overall? Like why do we care 799 00:39:37,200 --> 00:39:40,000 Speaker 3: in the first place? And unpacking that, I think everything 800 00:39:40,040 --> 00:39:43,200 Speaker 3: from the number on your fitness app to the number 801 00:39:43,239 --> 00:39:46,799 Speaker 3: in your bank account, to your health scores, to all 802 00:39:46,840 --> 00:39:50,600 Speaker 3: these different ways that gamification gets used. It's realizing that 803 00:39:50,800 --> 00:39:54,200 Speaker 3: you can use that number, the gamification as a tool 804 00:39:54,320 --> 00:39:59,239 Speaker 3: to incentivize better behaviors. At the same time, knowing what 805 00:39:59,320 --> 00:40:02,399 Speaker 3: the bigger meaning of that better behavior is and why 806 00:40:02,440 --> 00:40:04,560 Speaker 3: you're doing that in the first place, I think is important, 807 00:40:04,640 --> 00:40:06,480 Speaker 3: so you don't start just chasing the number for the 808 00:40:06,480 --> 00:40:09,040 Speaker 3: sake of the number and actually have the behavior backfire. 809 00:40:09,280 --> 00:40:10,080 Speaker 1: Exactly. That's true. 810 00:40:10,080 --> 00:40:12,920 Speaker 2: I mean, like even with saving or investing, you can 811 00:40:13,080 --> 00:40:14,919 Speaker 2: overdo it. That's something we talk about on the show 812 00:40:14,960 --> 00:40:17,160 Speaker 2: here too, And so you can you can max out 813 00:40:17,200 --> 00:40:19,040 Speaker 2: your four oh one K every single year for a 814 00:40:19,120 --> 00:40:23,680 Speaker 2: decade and then and find that you've squandered relationships because 815 00:40:23,719 --> 00:40:25,400 Speaker 2: you were working too hard and you were too focused 816 00:40:25,400 --> 00:40:28,319 Speaker 2: on investing. And so that's possible too. Right, you can 817 00:40:28,360 --> 00:40:31,120 Speaker 2: have the wrong short term view and hope of this 818 00:40:31,239 --> 00:40:34,000 Speaker 2: like long term supposedly good ideal, But why are we 819 00:40:34,000 --> 00:40:36,359 Speaker 2: maxing out our four O one K in the first place? Yeah, yeah, 820 00:40:36,400 --> 00:40:38,040 Speaker 2: maybe we should be, but maybe you shouldn't be. 821 00:40:38,080 --> 00:40:40,080 Speaker 1: And it's different for every person. Yeah, so sort of 822 00:40:40,120 --> 00:40:42,359 Speaker 1: what Michael was saying earlier. The key to so much 823 00:40:42,360 --> 00:40:45,319 Speaker 1: of this is just moderation. Yeah, and but like we 824 00:40:45,400 --> 00:40:47,640 Speaker 1: are so bad at that. We're so bad at moderation 825 00:40:47,719 --> 00:40:49,839 Speaker 1: when it comes to any of the different things that 826 00:40:49,880 --> 00:40:51,799 Speaker 1: we allow into our lives or the different things that 827 00:40:51,840 --> 00:40:55,879 Speaker 1: we pursue. But truly that is the answer, And man, 828 00:40:56,120 --> 00:40:57,880 Speaker 1: it's so powerful. What you said about the numbers two 829 00:40:58,000 --> 00:41:00,640 Speaker 1: is that it oversimplifies things because, like I think, we 830 00:41:00,719 --> 00:41:04,719 Speaker 1: crave simplification. We crave the ability to look at a 831 00:41:04,840 --> 00:41:06,799 Speaker 1: number on a watch and be like, oh, haven't hit 832 00:41:06,840 --> 00:41:08,839 Speaker 1: my steps or oh my vo two Max dropped a point. 833 00:41:08,840 --> 00:41:10,360 Speaker 1: I gotta get it, get out there, get these are 834 00:41:10,440 --> 00:41:13,680 Speaker 1: more running. But there was a whole lot of information 835 00:41:13,920 --> 00:41:17,759 Speaker 1: or quality perhaps that gets lost in that translation. Like 836 00:41:17,760 --> 00:41:20,080 Speaker 1: one of the examples you give in your book, you 837 00:41:20,120 --> 00:41:23,040 Speaker 1: talk about one of the wine magazines or wine websites, 838 00:41:23,080 --> 00:41:25,799 Speaker 1: But how it used to be where when they would 839 00:41:25,800 --> 00:41:30,400 Speaker 1: try to rate wines, folks would use big, flowery language. 840 00:41:30,719 --> 00:41:33,400 Speaker 1: But what that meant was that it was inaccessible to 841 00:41:33,440 --> 00:41:35,759 Speaker 1: a whole lot of folks because it was so snobbish. 842 00:41:35,840 --> 00:41:39,360 Speaker 1: But then somebody came along and they attached a number 843 00:41:39,560 --> 00:41:41,799 Speaker 1: too wines. Can you talk about that and how that 844 00:41:41,840 --> 00:41:43,080 Speaker 1: sort of changed that industry. 845 00:41:43,320 --> 00:41:46,719 Speaker 3: Yeah, so you get this guy, Robert Parker, and he 846 00:41:46,840 --> 00:41:48,600 Speaker 3: started Wine Advocate magazine. 847 00:41:48,600 --> 00:41:51,240 Speaker 1: Wine Advocate, that's right, Yeah, And so what he did. 848 00:41:51,280 --> 00:41:55,520 Speaker 3: Is he would start giving wines a score from I 849 00:41:55,520 --> 00:41:59,279 Speaker 3: think fifty to one hundred. Now, when he did that, 850 00:41:59,400 --> 00:42:02,680 Speaker 3: it's simplify this really complex thing, which is trying to 851 00:42:02,719 --> 00:42:05,319 Speaker 3: understand whether a wine is good or bad. Right, Like, sure, 852 00:42:05,920 --> 00:42:08,880 Speaker 3: you could read a whole paragraph on twenty different wines, 853 00:42:09,320 --> 00:42:11,000 Speaker 3: or you could just look at the number and go, oh, 854 00:42:11,000 --> 00:42:12,480 Speaker 3: well that one got a ninety five and this one 855 00:42:12,520 --> 00:42:14,880 Speaker 3: got in ninety four. Therefore that one is better. The 856 00:42:14,920 --> 00:42:18,080 Speaker 3: ninety five is clearly better, and so people really latch 857 00:42:18,120 --> 00:42:23,400 Speaker 3: onto this rating system. Now, the issue is that Parker 858 00:42:23,520 --> 00:42:26,920 Speaker 3: was rating the wines, and so he's obviously has his 859 00:42:27,000 --> 00:42:31,200 Speaker 3: own preferences and tastes and what tends to happen is 860 00:42:31,200 --> 00:42:33,320 Speaker 3: that when he gives a wine a score of ninety 861 00:42:33,360 --> 00:42:35,919 Speaker 3: or above, it tends to fly off the shelves, while 862 00:42:35,960 --> 00:42:38,680 Speaker 3: wines that are say in the eighties or in the seventies, 863 00:42:39,080 --> 00:42:44,080 Speaker 3: they don't sell quite as well. So vinters wine makers 864 00:42:44,520 --> 00:42:47,239 Speaker 3: they notice this and they go, oh, we need to 865 00:42:47,280 --> 00:42:51,120 Speaker 3: start making wines that this guy will like. We need 866 00:42:51,880 --> 00:42:54,040 Speaker 3: we need wines that are a ninety plus by wine advocate. 867 00:42:55,040 --> 00:42:57,440 Speaker 3: So that's what they start doing, and it changes this 868 00:42:57,560 --> 00:43:00,400 Speaker 3: wine making tradition that had been going on for thousands 869 00:43:00,440 --> 00:43:03,160 Speaker 3: and thousands of years, all because this guy's tastes and 870 00:43:03,200 --> 00:43:06,600 Speaker 3: his ability to put a number on things. Now, if 871 00:43:06,600 --> 00:43:08,760 Speaker 3: you don't have the same taste as this guy. 872 00:43:08,560 --> 00:43:11,520 Speaker 1: Though exactly, this information is useless to you. 873 00:43:11,680 --> 00:43:13,640 Speaker 3: Ye, And like the wines that you used to like 874 00:43:13,680 --> 00:43:16,279 Speaker 3: from the wine maker, now it's changed because they're trying 875 00:43:16,320 --> 00:43:19,799 Speaker 3: to have it be you know, good in this guy's eyes. Now. 876 00:43:19,800 --> 00:43:23,719 Speaker 3: The other problem, too, is that people usually eat food 877 00:43:23,760 --> 00:43:26,120 Speaker 3: when they drink wine. But if you're trying to rate 878 00:43:26,200 --> 00:43:29,120 Speaker 3: something objectively, you can't have food with it. So now 879 00:43:29,160 --> 00:43:32,720 Speaker 3: this has changed the whole freaking purpose of the wine 880 00:43:32,840 --> 00:43:34,560 Speaker 3: and the wine making. But it's not you know, The 881 00:43:34,800 --> 00:43:37,680 Speaker 3: important point is that it is not just in wine. 882 00:43:38,480 --> 00:43:41,439 Speaker 3: You also see this in basically the scoring or rating 883 00:43:41,560 --> 00:43:46,080 Speaker 3: of anything from movies, to books, to music, to you know, 884 00:43:46,280 --> 00:43:50,200 Speaker 3: Yelp reviews, to all these different things. So numbers really 885 00:43:50,200 --> 00:43:55,520 Speaker 3: allow us to simplify really complex data. That is good 886 00:43:55,560 --> 00:43:58,320 Speaker 3: for speed, but we leave out a lot of nuance, 887 00:43:58,360 --> 00:44:00,359 Speaker 3: we leave out a lot of accuracy, we leave out 888 00:44:00,440 --> 00:44:01,960 Speaker 3: a lot of individual variation. 889 00:44:02,239 --> 00:44:05,480 Speaker 2: Yeah, all right, Michael, you say scarcity is the mother 890 00:44:05,560 --> 00:44:09,680 Speaker 2: of invention ideas and breaking new ground. So I don't know, 891 00:44:09,719 --> 00:44:13,319 Speaker 2: give me your final thoughts on scarcity and how it 892 00:44:13,400 --> 00:44:16,000 Speaker 2: impacts all of us on a day to day level 893 00:44:16,000 --> 00:44:19,040 Speaker 2: when it comes to our money and when it comes 894 00:44:19,120 --> 00:44:22,000 Speaker 2: to just generally our happiness in life. 895 00:44:22,280 --> 00:44:24,759 Speaker 3: Yeah. There's a really interesting study that I cite in 896 00:44:24,760 --> 00:44:27,520 Speaker 3: the book, and it basically took two groups and it 897 00:44:27,560 --> 00:44:32,239 Speaker 3: gave them a series of problems to solve using different resources. 898 00:44:32,280 --> 00:44:36,320 Speaker 3: And for one group, they gave them effectively unlimited resources 899 00:44:36,360 --> 00:44:39,279 Speaker 3: to solve the problem. And so that's what the people did. 900 00:44:39,520 --> 00:44:41,680 Speaker 3: They just you know, they threw resources out of they 901 00:44:41,719 --> 00:44:44,680 Speaker 3: threw money at the problem, and they did solve it. Now, 902 00:44:44,760 --> 00:44:47,239 Speaker 3: the other group, they had very limited resources. They had 903 00:44:47,239 --> 00:44:50,520 Speaker 3: to sort of figure it out. Mcgiver fix the problem now. 904 00:44:50,560 --> 00:44:53,600 Speaker 3: They also solved the problem too, except that the way 905 00:44:53,600 --> 00:44:58,920 Speaker 3: that they solved it used fewer resources. Their fixes for 906 00:44:58,960 --> 00:45:02,920 Speaker 3: the problem were also de more creative, more intuitive. And 907 00:45:02,960 --> 00:45:06,000 Speaker 3: so I think that what happens when we face scarce 908 00:45:06,080 --> 00:45:08,919 Speaker 3: resources is, like I mentioned with that other study from 909 00:45:09,600 --> 00:45:14,239 Speaker 3: the Lego study, our tendency is to just try and 910 00:45:14,400 --> 00:45:16,759 Speaker 3: throw money at it, throw resources at it. Right, But 911 00:45:16,800 --> 00:45:19,400 Speaker 3: if we just put some constraints on ourselves and go, Okay, 912 00:45:19,480 --> 00:45:21,160 Speaker 3: I'm going to sit here and I'm going to pretend 913 00:45:21,160 --> 00:45:23,359 Speaker 3: that I have no resources solve this problem. How would 914 00:45:23,400 --> 00:45:25,600 Speaker 3: I try and solve it without any resources? I think 915 00:45:25,600 --> 00:45:28,279 Speaker 3: that one you can not only solve it, but two 916 00:45:28,560 --> 00:45:30,640 Speaker 3: your problem will often be much better than you might 917 00:45:30,680 --> 00:45:33,080 Speaker 3: have expected, and that saves you money over the long term. 918 00:45:33,080 --> 00:45:35,279 Speaker 3: When you think about the problems that people face in 919 00:45:35,320 --> 00:45:38,600 Speaker 3: their daily life and the financial means that those require. 920 00:45:38,960 --> 00:45:40,799 Speaker 1: I love it. Yeah, that's that might be the best 921 00:45:40,880 --> 00:45:43,520 Speaker 1: argument for less is more. Yeah, Michael, thank you so 922 00:45:43,640 --> 00:45:45,680 Speaker 1: much for talking with us. Where's it that folks can 923 00:45:45,800 --> 00:45:48,000 Speaker 1: learn more about you? Your book, what you're up to? 924 00:45:48,120 --> 00:45:50,680 Speaker 3: Yeah, go on my website. Easter Michael, I have a 925 00:45:50,719 --> 00:45:52,879 Speaker 3: newsletter and it's got a big archive with a lot 926 00:45:52,880 --> 00:45:55,360 Speaker 3: of stuff like how you can learn more about that 927 00:45:55,400 --> 00:45:57,840 Speaker 3: scarcity loop I talk to, and how it applies to finances, 928 00:45:57,880 --> 00:46:00,000 Speaker 3: how it applies to all these different things. So, yeah, 929 00:46:00,120 --> 00:46:02,520 Speaker 3: check out my website. You can sign up for the 930 00:46:02,560 --> 00:46:05,360 Speaker 3: newsletter there and get the archive, and yeah, that's probably 931 00:46:05,360 --> 00:46:06,480 Speaker 3: the best place to find. 932 00:46:06,239 --> 00:46:07,320 Speaker 1: Me right on Awesome. 933 00:46:07,320 --> 00:46:08,759 Speaker 2: We'll link to all that stuff in our show notes 934 00:46:08,760 --> 00:46:10,840 Speaker 2: as well. Michael, thanks for joining us, man. 935 00:46:10,800 --> 00:46:12,960 Speaker 3: Yeah, thank you very much. It was great to talk nice. 936 00:46:13,000 --> 00:46:15,880 Speaker 1: Sorry, man, what that was a great conversation. Do you 937 00:46:15,880 --> 00:46:18,600 Speaker 1: think we've had any conversation that was any less about 938 00:46:18,760 --> 00:46:21,680 Speaker 1: money than the conversation we just had with Michael? 939 00:46:21,760 --> 00:46:25,359 Speaker 2: More about human behavior, But simultaneously, it just underpins how 940 00:46:25,400 --> 00:46:28,200 Speaker 2: it is that we handle money, just like you know, 941 00:46:28,239 --> 00:46:31,399 Speaker 2: the mindset and when it comes to developing positive, good 942 00:46:31,440 --> 00:46:33,479 Speaker 2: habits that are going to lead us to be able 943 00:46:33,520 --> 00:46:36,120 Speaker 2: to ultimately hopefully have more money on hand to kind 944 00:46:36,120 --> 00:46:38,120 Speaker 2: of live the life that we want to live. But 945 00:46:38,320 --> 00:46:40,480 Speaker 2: I thought about asking Michael at the very top, like 946 00:46:40,719 --> 00:46:43,239 Speaker 2: if he knew how much people were able to put 947 00:46:43,280 --> 00:46:44,719 Speaker 2: into a four oh one k or a roth Ira 948 00:46:44,880 --> 00:46:47,920 Speaker 2: or something this year I assume he didn't because it 949 00:46:47,680 --> 00:46:49,520 Speaker 2: was not his thing, you know, which is which it 950 00:46:49,640 --> 00:46:51,520 Speaker 2: just to prove a point that, like we had Michael 951 00:46:51,560 --> 00:46:54,759 Speaker 2: on for other reasons, he's like brilliant, vastly knowledgeable on 952 00:46:54,880 --> 00:46:58,160 Speaker 2: all these other things that impact our money, yes, but 953 00:46:58,200 --> 00:46:59,680 Speaker 2: indirectly right exactly. 954 00:47:00,200 --> 00:47:01,800 Speaker 1: So yeah, what was your that being said? What was 955 00:47:01,840 --> 00:47:03,439 Speaker 1: your big takeaway? Are you going to try to channel 956 00:47:03,480 --> 00:47:05,360 Speaker 1: it in a personal finance direction? Okay? 957 00:47:05,400 --> 00:47:07,440 Speaker 2: So or no, there's two different ways. I feel like 958 00:47:07,440 --> 00:47:09,319 Speaker 2: I go here, but I'm gonna say this when he 959 00:47:09,360 --> 00:47:13,680 Speaker 2: said everyone sucks at moderation, and I think he's right, Like, 960 00:47:13,719 --> 00:47:16,600 Speaker 2: I think it's really really hard to be a moderate 961 00:47:16,640 --> 00:47:18,280 Speaker 2: in this day and age. I mean, think about everything 962 00:47:18,280 --> 00:47:21,680 Speaker 2: in our political landscape points to polarization hard left or 963 00:47:21,680 --> 00:47:25,000 Speaker 2: hard right right, and or really if we're going to 964 00:47:25,040 --> 00:47:29,200 Speaker 2: try to accomplish anything, it being sort of middle of 965 00:47:29,239 --> 00:47:32,440 Speaker 2: the road seems like the craziest choice to make, but 966 00:47:32,560 --> 00:47:35,120 Speaker 2: we think for the most ornamental most of the time, 967 00:47:35,440 --> 00:47:39,440 Speaker 2: it's actually a good path to trot. And when it 968 00:47:39,480 --> 00:47:42,560 Speaker 2: comes to what your goals are, well define your goals 969 00:47:43,000 --> 00:47:45,320 Speaker 2: based on maybe more moderation, like do you want to 970 00:47:45,320 --> 00:47:47,560 Speaker 2: get fit cool? Do you need or want to be 971 00:47:47,760 --> 00:47:50,720 Speaker 2: oral Torchen atger level fit probably not like I certainly don't, 972 00:47:50,880 --> 00:47:55,040 Speaker 2: But like, what are your money goals amassing millions and 973 00:47:55,040 --> 00:47:57,319 Speaker 2: millions and millions? That might not be it either. You 974 00:47:57,320 --> 00:47:59,040 Speaker 2: probably don't want to just like us, you don't want 975 00:47:59,040 --> 00:48:02,560 Speaker 2: to be the next Elon Musk or Jeff Bezos for 976 00:48:02,600 --> 00:48:03,240 Speaker 2: many reasons. 977 00:48:03,920 --> 00:48:07,120 Speaker 1: But and that means, please, I know you want a 978 00:48:07,360 --> 00:48:08,000 Speaker 1: rocket ship to. 979 00:48:09,600 --> 00:48:13,440 Speaker 2: The point I do, but not having those extreme goals 980 00:48:13,920 --> 00:48:15,960 Speaker 2: is actually, I think going to lead to a happier life. 981 00:48:16,000 --> 00:48:19,000 Speaker 2: And sometimes when it comes to the consumption side of 982 00:48:19,040 --> 00:48:21,239 Speaker 2: things too, figure out what does it look like to 983 00:48:21,280 --> 00:48:23,800 Speaker 2: maybe indulge in some of these things, know that they exist, 984 00:48:23,840 --> 00:48:26,120 Speaker 2: know that these mechanisms are pulling at me, but that 985 00:48:26,239 --> 00:48:27,680 Speaker 2: I also don't have to. 986 00:48:27,640 --> 00:48:28,200 Speaker 1: Go a whole hawk. 987 00:48:28,640 --> 00:48:32,319 Speaker 2: I can be a moderate Amazon user, right, stuff like that, 988 00:48:32,360 --> 00:48:35,640 Speaker 2: Like I can moderately use my phone without going overboard. 989 00:48:35,880 --> 00:48:38,719 Speaker 2: It's about pulling back in the ways that we that 990 00:48:38,800 --> 00:48:41,200 Speaker 2: makes sense for us, so that we can live a 991 00:48:41,280 --> 00:48:42,960 Speaker 2: life that more fully reflects. 992 00:48:42,680 --> 00:48:44,839 Speaker 1: Who we want to be. Dude, I couldn't agree more. Yeah, 993 00:48:44,840 --> 00:48:46,640 Speaker 1: so my yeah, my big tech away kind of dovetails 994 00:48:46,640 --> 00:48:48,720 Speaker 1: with that a little bit. But so he was talking 995 00:48:48,760 --> 00:48:53,440 Speaker 1: about numbers and how they're relatively new, and how numbers 996 00:48:53,440 --> 00:48:57,120 Speaker 1: in and of themselves are a gamification tactic or whatever 997 00:48:57,120 --> 00:48:59,120 Speaker 1: it is that you're measuring, like, it doesn't matter what 998 00:48:59,160 --> 00:49:02,000 Speaker 1: it is, whether you're measu how fast you can run grades. 999 00:49:02,160 --> 00:49:04,439 Speaker 1: That's something that makes me think of a recent piece 1000 00:49:04,480 --> 00:49:07,160 Speaker 1: I was reading the Times recently about how set scores 1001 00:49:07,200 --> 00:49:12,080 Speaker 1: and college yeah, and just college success rates there or 1002 00:49:12,320 --> 00:49:14,720 Speaker 1: with here. On the show, what we talked about personal finance. 1003 00:49:15,000 --> 00:49:18,720 Speaker 1: Net worth? Man, what a number that is incredibly easy 1004 00:49:18,719 --> 00:49:21,359 Speaker 1: to put your finger on, and we like it because 1005 00:49:21,360 --> 00:49:24,759 Speaker 1: it's simple, it's straightforward, and it's easy to compare, to write, 1006 00:49:24,800 --> 00:49:26,839 Speaker 1: not only to yourself, but man, how easy is it 1007 00:49:26,880 --> 00:49:28,640 Speaker 1: to compare to others? Nothing, As I guess, you don't 1008 00:49:28,640 --> 00:49:31,880 Speaker 1: always know what somebody else's net worth, but the perceived 1009 00:49:31,960 --> 00:49:35,520 Speaker 1: net worth. And certainly when it comes to consumption, you know, oh, 1010 00:49:35,560 --> 00:49:37,680 Speaker 1: I don't know how much that truck costs. Truck costs 1011 00:49:37,680 --> 00:49:41,080 Speaker 1: as much, but that means their net worth went down exactly. 1012 00:49:41,440 --> 00:49:44,439 Speaker 1: So it's kind of contrary there. But when it comes 1013 00:49:44,520 --> 00:49:47,920 Speaker 1: to those who are seeking after specifically fire right like 1014 00:49:47,960 --> 00:49:51,279 Speaker 1: financial independence, retiring early, I think there can be an 1015 00:49:51,320 --> 00:49:54,840 Speaker 1: obsession with it because you're trying to hit your number, 1016 00:49:55,000 --> 00:49:58,640 Speaker 1: Like that's the term that those folks oftentimes will use. 1017 00:49:59,120 --> 00:50:02,680 Speaker 1: And yes, it's it's more efficient to figure out where 1018 00:50:02,719 --> 00:50:05,600 Speaker 1: you are on your journey. Yes it is easier, But man, 1019 00:50:06,040 --> 00:50:08,680 Speaker 1: are you missing out on so much of life that 1020 00:50:09,000 --> 00:50:12,160 Speaker 1: fits between in between this numbers that fits in between 1021 00:50:12,360 --> 00:50:15,400 Speaker 1: those monthly check ins to your net worth and figuring 1022 00:50:15,400 --> 00:50:17,839 Speaker 1: out sort of like what you said, what it is 1023 00:50:17,880 --> 00:50:20,160 Speaker 1: you want your life to look like is so important 1024 00:50:20,280 --> 00:50:22,560 Speaker 1: more than ever because we have so many resources at 1025 00:50:22,560 --> 00:50:25,880 Speaker 1: our disposal that we can choose to chase after. But 1026 00:50:26,040 --> 00:50:28,160 Speaker 1: are you chasing after the things that you want to 1027 00:50:28,239 --> 00:50:30,600 Speaker 1: chase after in this world, in this day and age, 1028 00:50:30,600 --> 00:50:32,960 Speaker 1: I think is a more important question than ever before. 1029 00:50:32,960 --> 00:50:36,399 Speaker 2: Well, and choosing not to decide is deciding to choose 1030 00:50:36,440 --> 00:50:38,880 Speaker 2: or whatever you know, you're choosing by default exactly somebody 1031 00:50:38,920 --> 00:50:41,359 Speaker 2: else is going to choose for you, and specifically it's 1032 00:50:41,400 --> 00:50:43,680 Speaker 2: going to be advertisers, it's going to be you know, 1033 00:50:43,840 --> 00:50:46,200 Speaker 2: the phone that's in your hand, It's going to be 1034 00:50:46,360 --> 00:50:48,480 Speaker 2: whoever's closest by you, Like those are going to be 1035 00:50:48,560 --> 00:50:51,120 Speaker 2: the things that impact you the most when it comes 1036 00:50:51,120 --> 00:50:53,400 Speaker 2: to what you end up actually doing as opposed to 1037 00:50:53,400 --> 00:50:54,920 Speaker 2: you proactively making that decision. 1038 00:50:55,000 --> 00:50:56,520 Speaker 1: So couldn't agree more men. 1039 00:50:56,600 --> 00:51:00,560 Speaker 2: Yeah, although slightly off topic from personal finance, like especially 1040 00:51:00,560 --> 00:51:03,240 Speaker 2: at the beginning of the year, given how great Michael's 1041 00:51:03,280 --> 00:51:03,560 Speaker 2: book is. 1042 00:51:04,160 --> 00:51:07,120 Speaker 1: Well, that's what's so great too about his book is 1043 00:51:07,160 --> 00:51:09,719 Speaker 1: like there aren't like three clear steps that you need 1044 00:51:09,760 --> 00:51:12,480 Speaker 1: to leave this conversation or leave even reading his book 1045 00:51:12,840 --> 00:51:14,600 Speaker 1: knowing that these are the three things that you need 1046 00:51:14,640 --> 00:51:18,120 Speaker 1: to address, And so we most definitely recommend for everyone 1047 00:51:18,120 --> 00:51:20,839 Speaker 1: out there to seriously read his book cover to cover 1048 00:51:21,320 --> 00:51:23,839 Speaker 1: because the examples that he gives it just sheds light 1049 00:51:23,920 --> 00:51:27,080 Speaker 1: on humanity essentially as opposed to I don't know what 1050 00:51:27,239 --> 00:51:30,160 Speaker 1: feels might feel more like a cheap takeaway, but it 1051 00:51:30,200 --> 00:51:32,400 Speaker 1: makes me want to recommend for folks to check out 1052 00:51:32,680 --> 00:51:36,319 Speaker 1: the How to Money Money Mission Statement, because that's what 1053 00:51:36,360 --> 00:51:38,840 Speaker 1: we're talking about here, is you asking yourself some of 1054 00:51:38,880 --> 00:51:43,640 Speaker 1: these larger questions. It's less the immediate tactics and strategies 1055 00:51:43,840 --> 00:51:46,080 Speaker 1: of how you're going to achieve those things, but from 1056 00:51:46,080 --> 00:51:49,440 Speaker 1: a very high level deciding for yourself which direction you 1057 00:51:49,480 --> 00:51:50,440 Speaker 1: want your life to be going in. 1058 00:51:50,480 --> 00:51:52,480 Speaker 2: Those two things actually would pair really well together. This 1059 00:51:52,520 --> 00:51:54,839 Speaker 2: book and the Money missions in it, and the money 1060 00:51:54,840 --> 00:51:56,759 Speaker 2: mission statements free will link to it in the show notes. Yeah, 1061 00:51:56,760 --> 00:51:58,239 Speaker 2: and by the way, Michael is just a great writer. 1062 00:51:58,320 --> 00:51:59,680 Speaker 2: So that's another reason. If you want to read a 1063 00:51:59,680 --> 00:52:02,160 Speaker 2: book and by someone so good, who's curious, and that 1064 00:52:02,200 --> 00:52:05,360 Speaker 2: comes across in every inch of the text, then this 1065 00:52:05,400 --> 00:52:07,399 Speaker 2: book is for you. All right, now, let's get back 1066 00:52:07,400 --> 00:52:10,400 Speaker 2: to the beer. This one is called Nelson Double IPA 1067 00:52:10,520 --> 00:52:13,879 Speaker 2: by Evergrain Brewing listener Rihanna. This is a last beer 1068 00:52:13,880 --> 00:52:16,000 Speaker 2: from her Big thanks to Rihanna for donating beers to 1069 00:52:16,040 --> 00:52:17,799 Speaker 2: the show. Matt Warrior thoughts on this beer. 1070 00:52:17,880 --> 00:52:21,239 Speaker 1: My thoughts are that, so this is a single hop 1071 00:52:21,320 --> 00:52:24,480 Speaker 1: series and it's called Nelson because it's Nelson Hops. And 1072 00:52:25,200 --> 00:52:27,800 Speaker 1: all I know now is that I love Nelson Hops because, 1073 00:52:28,000 --> 00:52:31,120 Speaker 1: oh my gosh, the flavor it's got, like all the 1074 00:52:31,120 --> 00:52:34,520 Speaker 1: hot flavors that I'm looking for one hot. Well, yes, yeah, 1075 00:52:34,520 --> 00:52:37,719 Speaker 1: it's phenomenal. Completely agree. It's so good. Not too sweet, 1076 00:52:37,880 --> 00:52:41,080 Speaker 1: not too earthy, not too piny, man, it's not too 1077 00:52:41,080 --> 00:52:41,560 Speaker 1: one note. 1078 00:52:41,640 --> 00:52:43,600 Speaker 2: Some of the other hops you're like, oh, clearly this 1079 00:52:43,640 --> 00:52:46,000 Speaker 2: is pine, Oh clearly this is citrusy, and this one 1080 00:52:46,080 --> 00:52:49,040 Speaker 2: has it runs the gamut with one hop but it 1081 00:52:49,160 --> 00:52:51,439 Speaker 2: really highlights the things I love about hops the most. 1082 00:52:51,800 --> 00:52:54,719 Speaker 2: So for Nelson, hops always stick out as a fave, 1083 00:52:55,040 --> 00:52:57,640 Speaker 2: and this beer does that hop justice. 1084 00:52:57,719 --> 00:53:00,560 Speaker 1: Yeah, I feel like I'm slowly expanding my and you 1085 00:53:00,560 --> 00:53:02,759 Speaker 1: would think, with you and me being such beer nerds 1086 00:53:02,760 --> 00:53:05,040 Speaker 1: that for a long time that we would we would 1087 00:53:05,040 --> 00:53:07,360 Speaker 1: have a better handle as to some of the different 1088 00:53:08,040 --> 00:53:10,680 Speaker 1: flavor character profiles of some of the different hops. But 1089 00:53:10,920 --> 00:53:12,400 Speaker 1: I feel like I can add another one to my 1090 00:53:12,480 --> 00:53:15,359 Speaker 1: mental checker, Nelson, they got it going on nice. 1091 00:53:15,440 --> 00:53:17,000 Speaker 2: Yeah, I love it all right. Well, that's going to 1092 00:53:17,080 --> 00:53:19,200 Speaker 2: do it for this episode, folks. Can't wait to see 1093 00:53:19,239 --> 00:53:21,600 Speaker 2: you back here on Friday for a Friday flight. And 1094 00:53:21,640 --> 00:53:23,279 Speaker 2: by the way, if you want links to some of 1095 00:53:23,280 --> 00:53:26,320 Speaker 2: the stuff we mentioned, including Michael's book and newsletter, you 1096 00:53:26,360 --> 00:53:28,680 Speaker 2: can find those up on our website at Howtimoney dot com. 1097 00:53:28,680 --> 00:53:30,360 Speaker 1: That's right, buddy. So that's gonna be it for this 1098 00:53:30,400 --> 00:53:34,359 Speaker 1: one until next time. Best Friends Out, Best Friends Out.