1 00:00:00,160 --> 00:00:04,160 Speaker 1: This is Bloomberg Business Week with Carol Masser and Bloomberg 2 00:00:04,240 --> 00:00:08,079 Speaker 1: Quick Takes Tim Stenovic on Bloomberg Radio. I want to 3 00:00:08,080 --> 00:00:10,840 Speaker 1: get right to our guest. He's really interesting and you 4 00:00:10,880 --> 00:00:14,680 Speaker 1: might remember um a story by Bloomberg's Missy Gafa Poulu 5 00:00:15,080 --> 00:00:18,320 Speaker 1: that began with in Silicon Valley near a All is 6 00:00:18,360 --> 00:00:20,720 Speaker 1: the habits guy. Want to understand how to get app 7 00:00:20,800 --> 00:00:24,400 Speaker 1: users to come back and again? Then A all is 8 00:00:24,440 --> 00:00:26,279 Speaker 1: your man. That's what she wrote in his story. He 9 00:00:26,400 --> 00:00:28,760 Speaker 1: is a former lecturer at Stanford's Graduate School of Business 10 00:00:28,800 --> 00:00:31,600 Speaker 1: and angel investor. He has studied our companies such as 11 00:00:31,640 --> 00:00:35,040 Speaker 1: Facebook now of course, Meta and Twitter encourage users to 12 00:00:35,120 --> 00:00:38,320 Speaker 1: spend time on their platforms. He's also author of a book, 13 00:00:38,400 --> 00:00:41,839 Speaker 1: It was out in Hooked, how to build habit forming products. 14 00:00:42,200 --> 00:00:45,760 Speaker 1: His website is Near and Far and dot com and 15 00:00:45,800 --> 00:00:49,640 Speaker 1: he joins us in our Bloomberg Interactive Broker Studio. Welcome, Thanks, 16 00:00:49,640 --> 00:00:51,479 Speaker 1: great to be here, great background. I feel like I 17 00:00:51,520 --> 00:00:53,040 Speaker 1: have a million questions, so you're just gonna have to 18 00:00:53,040 --> 00:00:56,640 Speaker 1: stay for the next sixtew minutes, Like cancel the next show. UM, 19 00:00:57,040 --> 00:00:59,480 Speaker 1: tell us a little bit about like we were talking 20 00:00:59,480 --> 00:01:02,680 Speaker 1: about the or ring, which you have on um all 21 00:01:02,720 --> 00:01:06,840 Speaker 1: of this information and all of this information gadgets are gathering, 22 00:01:06,880 --> 00:01:09,440 Speaker 1: gadgets that we're wearing. Is it a good thing for us? 23 00:01:09,640 --> 00:01:11,959 Speaker 1: And Mike talked about, you know, he's on his phone 24 00:01:11,959 --> 00:01:14,679 Speaker 1: all the time. Is this good for society? It's a 25 00:01:14,720 --> 00:01:16,759 Speaker 1: great question. Is it good? Is it bad? The answers yes, 26 00:01:17,200 --> 00:01:20,479 Speaker 1: it's both. Pauvarlio has a wonderful quote. He said, when 27 00:01:20,480 --> 00:01:24,280 Speaker 1: we invented the ship, we invented the shipwreck. So of 28 00:01:24,319 --> 00:01:26,959 Speaker 1: course every new technology, especially one on such a massive 29 00:01:27,000 --> 00:01:29,760 Speaker 1: scale as the Internet, is going to have goods and 30 00:01:29,840 --> 00:01:32,679 Speaker 1: beds about how we manage those. You know, you're I'm 31 00:01:32,680 --> 00:01:36,320 Speaker 1: wondering about sort of the chemicals that are at play, 32 00:01:36,360 --> 00:01:39,199 Speaker 1: like the brain chemicals. You know you always hear about, Well, 33 00:01:39,240 --> 00:01:43,399 Speaker 1: if you get a notifications on your is that a 34 00:01:43,520 --> 00:01:47,119 Speaker 1: real thing? You know? Do is there dopamine or whatever? 35 00:01:47,800 --> 00:01:50,320 Speaker 1: You know, happiness chemicals at work when you when you 36 00:01:50,360 --> 00:01:52,640 Speaker 1: get addicted to an app and you're and you're you know, 37 00:01:52,800 --> 00:01:54,960 Speaker 1: I love to see those notifications and stuff like that. 38 00:01:55,600 --> 00:01:57,360 Speaker 1: Yes and no, I hate to give a wishy washy answer, 39 00:01:57,400 --> 00:01:59,840 Speaker 1: but typically if you hear somebody talk about dopamine s 40 00:02:00,000 --> 00:02:04,760 Speaker 1: where it's just discount everything, they say, because it's so overused. 41 00:02:04,760 --> 00:02:08,160 Speaker 1: It's so overplayed. Everything releases dopamine. When you hug somebody, 42 00:02:08,280 --> 00:02:10,040 Speaker 1: you get dopamine. When you learn to play the piano 43 00:02:10,160 --> 00:02:12,880 Speaker 1: or play tennis, you get a squared of dopamine. Dopamine 44 00:02:12,919 --> 00:02:14,840 Speaker 1: is not cocaine in the brain. It's like a different 45 00:02:14,919 --> 00:02:17,320 Speaker 1: scale than using an app. So the whole idea of 46 00:02:17,320 --> 00:02:20,560 Speaker 1: getting addicted to an app or hijacking your brain is 47 00:02:20,600 --> 00:02:23,200 Speaker 1: so overplayed if you actually look at the research and 48 00:02:23,240 --> 00:02:25,959 Speaker 1: you talk to the people who study this stuff. Some 49 00:02:26,000 --> 00:02:27,920 Speaker 1: people get addicted, of course, just like some people get 50 00:02:27,919 --> 00:02:30,840 Speaker 1: addicted to alcohol. Right, alcohol is highly addictive, but not 51 00:02:30,919 --> 00:02:32,600 Speaker 1: everybody who has a glass of wine with dinner is 52 00:02:32,600 --> 00:02:36,239 Speaker 1: an alcoholic. Right, About three to five of population is addicted, 53 00:02:36,520 --> 00:02:39,480 Speaker 1: but it's not. It's certainly not everyone. Addiction is a pathology, 54 00:02:39,520 --> 00:02:41,960 Speaker 1: and just because some people get addicted doesn't mean everyone will. 55 00:02:42,080 --> 00:02:45,200 Speaker 1: So these little dopamine hits that we get aren't. It's 56 00:02:45,360 --> 00:02:49,040 Speaker 1: something pretty natural that we'd probably be getting something. And 57 00:02:49,080 --> 00:02:52,160 Speaker 1: we remember, we want products to get better products. Being 58 00:02:52,200 --> 00:02:55,440 Speaker 1: engaging is not a problem, it's progress. We're gonna say, hey, Apple, 59 00:02:55,680 --> 00:02:58,519 Speaker 1: your phones are really easy to use. Stop that Netflix 60 00:02:58,720 --> 00:03:00,320 Speaker 1: your shows. I want to watch them all the time. 61 00:03:00,360 --> 00:03:02,960 Speaker 1: Can you please make boring shows? It's ridiculous. It's a 62 00:03:03,000 --> 00:03:05,520 Speaker 1: wonderful thing that the world is becoming more engaging, but 63 00:03:06,240 --> 00:03:08,079 Speaker 1: the cost of this is that we have to learn 64 00:03:08,120 --> 00:03:10,360 Speaker 1: some new manner, some new norms and new ways of 65 00:03:10,400 --> 00:03:11,799 Speaker 1: being in the world so that we can get the 66 00:03:11,840 --> 00:03:15,640 Speaker 1: best of these products without letting them Because I can't imagine. 67 00:03:15,680 --> 00:03:16,959 Speaker 1: You know how many times you walk into like a 68 00:03:17,000 --> 00:03:19,160 Speaker 1: subway train and like just people are just involved, you know, 69 00:03:19,240 --> 00:03:21,160 Speaker 1: so engaged either in their phone or something, and you 70 00:03:21,200 --> 00:03:22,840 Speaker 1: feel kind of rude, kind of moving around. And I 71 00:03:22,880 --> 00:03:25,239 Speaker 1: do feel like we need to kind of rethink how 72 00:03:25,280 --> 00:03:29,280 Speaker 1: we interact and engage in society as a whole. Um. 73 00:03:29,680 --> 00:03:33,560 Speaker 1: So I think about things like healthcare. Uh. And it's funny. 74 00:03:33,560 --> 00:03:34,880 Speaker 1: I had a t MJ or do you have a 75 00:03:34,920 --> 00:03:38,000 Speaker 1: t MJ issue? Um? And I actually have an app 76 00:03:38,040 --> 00:03:40,480 Speaker 1: that reminds me to relax my jaw. And it sounds 77 00:03:40,520 --> 00:03:42,720 Speaker 1: so stupid and silly, and I kind of laughed when 78 00:03:42,720 --> 00:03:44,640 Speaker 1: my doctor said, I want you to download this app. 79 00:03:45,040 --> 00:03:48,040 Speaker 1: It's a very simple app, but it works. How do 80 00:03:48,080 --> 00:03:50,400 Speaker 1: you think about how we could get so much more 81 00:03:50,800 --> 00:03:54,080 Speaker 1: in the healthcare and wellness space. When it comes to 82 00:03:54,920 --> 00:03:58,040 Speaker 1: apps and you know whether it's workable technology, how do 83 00:03:58,080 --> 00:03:59,960 Speaker 1: you see it? How do you see that it should 84 00:04:00,000 --> 00:04:02,280 Speaker 1: play at is playing? So we were talking about before 85 00:04:02,320 --> 00:04:05,720 Speaker 1: we went on air, about how I get a gadget. 86 00:04:05,760 --> 00:04:08,040 Speaker 1: Almost every week somebody sends me something to try out. 87 00:04:08,040 --> 00:04:11,760 Speaker 1: Because I'm in this health change space. Healthcare is specifically 88 00:04:11,800 --> 00:04:13,720 Speaker 1: taking off. I mean, I think one thing I'm super 89 00:04:13,720 --> 00:04:17,400 Speaker 1: excited about our continuous glucost monitors. Have you seen those 90 00:04:17,400 --> 00:04:19,760 Speaker 1: around for? It used to be something that only diabetics 91 00:04:19,760 --> 00:04:22,000 Speaker 1: war and it's it's a game change, my mother in law, 92 00:04:22,080 --> 00:04:24,920 Speaker 1: and you start seeing them on people's arms. What you 93 00:04:24,960 --> 00:04:27,400 Speaker 1: start seeing now is that people who don't have diabetes 94 00:04:27,720 --> 00:04:30,159 Speaker 1: are now tracking their gluecost because it's so easy to 95 00:04:30,200 --> 00:04:32,040 Speaker 1: do that. Now you can track it throughout the day. 96 00:04:32,040 --> 00:04:33,839 Speaker 1: And and there's several companies I work with a few 97 00:04:34,120 --> 00:04:36,919 Speaker 1: that will tell you before you eat, right before you 98 00:04:36,960 --> 00:04:39,960 Speaker 1: get a snack, check your glucose. Why because it will 99 00:04:40,040 --> 00:04:43,920 Speaker 1: tell you whether you are psychologically hungry or physically hungry. 100 00:04:44,080 --> 00:04:46,120 Speaker 1: And sometimes it's hard for us to tell the difference. 101 00:04:46,200 --> 00:04:48,440 Speaker 1: So by looking at this, happen saying, actually, my blood 102 00:04:48,440 --> 00:04:50,280 Speaker 1: glucose is fine, I really don't need a snack. Let 103 00:04:50,279 --> 00:04:52,960 Speaker 1: me wait fifteen minutes that can delay snacking. So that's 104 00:04:53,000 --> 00:04:54,800 Speaker 1: just one small example. But I think we're gonna see 105 00:04:54,800 --> 00:04:57,240 Speaker 1: an explosion of these new behavior change apps. All right, 106 00:04:57,320 --> 00:04:59,880 Speaker 1: So what are some of your favorite you know, either 107 00:05:00,040 --> 00:05:02,039 Speaker 1: apps are products that are out there, let's say for 108 00:05:02,120 --> 00:05:04,839 Speaker 1: working out, because there's so many. Yeah, So one of 109 00:05:04,880 --> 00:05:07,560 Speaker 1: the apps I talked about in my book Hooked is 110 00:05:07,920 --> 00:05:10,320 Speaker 1: uh an app called fit bod f I T B 111 00:05:10,440 --> 00:05:13,200 Speaker 1: O D. And I love this app because I actually 112 00:05:13,200 --> 00:05:15,320 Speaker 1: put out a blog post. I was so frustrated with 113 00:05:15,360 --> 00:05:17,640 Speaker 1: how bad most fitness apps were. I put out a 114 00:05:17,640 --> 00:05:20,120 Speaker 1: blog post that the title was why your fitness app 115 00:05:20,160 --> 00:05:22,400 Speaker 1: is making you fat? Because they were so bad. All 116 00:05:22,440 --> 00:05:24,480 Speaker 1: of them were so terrible. And then somebody told me 117 00:05:24,480 --> 00:05:28,040 Speaker 1: about fit bod so bad? Was it just because they 118 00:05:28,040 --> 00:05:30,520 Speaker 1: didn't form a habit? Okay, got it? And so I 119 00:05:30,520 --> 00:05:32,800 Speaker 1: I downloaded fit bond and I started using it, and 120 00:05:32,839 --> 00:05:34,800 Speaker 1: I said, oh my goodness, this is actually really great 121 00:05:34,839 --> 00:05:36,680 Speaker 1: and it looks like it's following the hook model. Hook 122 00:05:36,680 --> 00:05:38,320 Speaker 1: models what I based my book on my class at 123 00:05:38,360 --> 00:05:40,720 Speaker 1: Stanford on and so I just went to the customer 124 00:05:40,800 --> 00:05:42,839 Speaker 1: support email thing and I sent them to you have 125 00:05:42,880 --> 00:05:45,359 Speaker 1: you by chance read my book? Within thirty seconds? The 126 00:05:45,360 --> 00:05:47,200 Speaker 1: founder wrote me back and said, yes, we actually built 127 00:05:47,200 --> 00:05:50,320 Speaker 1: the hook model into the app. And it's I use 128 00:05:50,400 --> 00:05:52,480 Speaker 1: fit bod every time I work out. I mean, I'm 129 00:05:52,520 --> 00:05:54,400 Speaker 1: forty four years old, best shape of my life because 130 00:05:54,400 --> 00:05:57,080 Speaker 1: of this app. It's fantastic. Well, near cuts to the 131 00:05:57,160 --> 00:05:59,799 Speaker 1: chase here, How can Carol and I make this show 132 00:06:00,120 --> 00:06:03,039 Speaker 1: more habit forming? That's what we need? What we need huge? 133 00:06:03,200 --> 00:06:08,880 Speaker 1: We have a huge Do we need a bitually listening? 134 00:06:08,880 --> 00:06:10,480 Speaker 1: What do we what do we do? Well? You're you're 135 00:06:10,760 --> 00:06:13,400 Speaker 1: you're doing great so far that's fantastic. So the ho 136 00:06:13,520 --> 00:06:18,680 Speaker 1: model has has another segment. Let's say, okay, how do 137 00:06:18,680 --> 00:06:23,440 Speaker 1: we analyze twenty seconds? That's the most important part. The 138 00:06:23,920 --> 00:06:26,560 Speaker 1: fuel that we see is the backbone of every habit 139 00:06:26,600 --> 00:06:29,680 Speaker 1: forming product is a variable reward, right, some kind of 140 00:06:29,800 --> 00:06:32,960 Speaker 1: intermittent reinforcement. Of course you have it in that you product. 141 00:06:33,000 --> 00:06:34,960 Speaker 1: By the news, the first three letters of news. Any 142 00:06:35,160 --> 00:06:37,680 Speaker 1: w new It's all about variability. So that's what makes 143 00:06:37,720 --> 00:06:42,000 Speaker 1: sports engaging, what makes slot machines so so intoxicating, what 144 00:06:42,040 --> 00:06:44,479 Speaker 1: makes social media fun, It's all about the new, new new, 145 00:06:44,480 --> 00:06:47,680 Speaker 1: The variability so you've got that as your backbones, not personality. 146 00:06:48,560 --> 00:06:50,880 Speaker 1: Of course, I'm crushed. Maybe you won't come back now, 147 00:06:50,880 --> 00:06:53,480 Speaker 1: I'm just kidding. Good look, we're going to come back, 148 00:06:53,480 --> 00:06:55,920 Speaker 1: and you're in just a moment, So I want to 149 00:06:55,920 --> 00:06:58,560 Speaker 1: get back to a guest. We're still talking with Near 150 00:06:58,680 --> 00:07:02,679 Speaker 1: I l he is the habit sky as our Bloomberg's 151 00:07:02,839 --> 00:07:05,400 Speaker 1: Missy Gafa Poolo had written about. But he was a 152 00:07:05,440 --> 00:07:08,440 Speaker 1: former lecturer at Stanford's Graduate School of Business. He has 153 00:07:08,440 --> 00:07:11,360 Speaker 1: studied how companies, as we mentioned like Meta and Twitter 154 00:07:11,440 --> 00:07:13,840 Speaker 1: encourage users to spend time on the platforms. Check out 155 00:07:13,840 --> 00:07:17,680 Speaker 1: his book Hooked, How to Build Habit Forming Products. And 156 00:07:17,720 --> 00:07:20,680 Speaker 1: he's also got a blog website near and Ford dot 157 00:07:20,680 --> 00:07:22,560 Speaker 1: com and he's still with us in our studio. So 158 00:07:22,600 --> 00:07:27,080 Speaker 1: we were talking about wellness and health apps in particular 159 00:07:27,080 --> 00:07:32,320 Speaker 1: for some of our audience. UM Peloton right somewhere addicted. 160 00:07:33,120 --> 00:07:36,640 Speaker 1: There's something that really rode a high no pun intended, 161 00:07:37,120 --> 00:07:40,520 Speaker 1: and then obviously has has come undone a bunch. What 162 00:07:40,560 --> 00:07:42,520 Speaker 1: do you think about that? Yeah, it's it's a super 163 00:07:42,520 --> 00:07:44,560 Speaker 1: interesting story because I think it's a great example of 164 00:07:44,640 --> 00:07:48,520 Speaker 1: why variability is so important for habit formation, that if 165 00:07:48,560 --> 00:07:52,200 Speaker 1: something is not variable. If it's predictable, it's boring, right. 166 00:07:52,160 --> 00:07:55,080 Speaker 1: I think about game games, right, everybody wants to gamify everything, 167 00:07:55,120 --> 00:07:58,880 Speaker 1: put points, advatagine and leaders, but most games people burn 168 00:07:58,920 --> 00:08:01,400 Speaker 1: out on. Right, think about member Farmville. Farmville was like 169 00:08:01,440 --> 00:08:03,640 Speaker 1: the biggest thing ever back in what two thousand and twelve. 170 00:08:04,440 --> 00:08:08,000 Speaker 1: Who's playing Farmville anymore? Nobody? Why? Because after Farmville it 171 00:08:08,120 --> 00:08:12,120 Speaker 1: was Chefville and uh whatever, frontier Ville was like the same. Yeah, 172 00:08:12,160 --> 00:08:14,520 Speaker 1: you're telling nobody's gonna be playing Wortle in a few years. 173 00:08:15,400 --> 00:08:18,040 Speaker 1: You may be surprised, Okay, as long as that. You know, 174 00:08:18,120 --> 00:08:21,280 Speaker 1: what's great about word is that it's social, Yeah, as 175 00:08:21,280 --> 00:08:25,280 Speaker 1: opposed to solitary expanses like Peloton. So Peloton during the pandemic, 176 00:08:25,320 --> 00:08:26,760 Speaker 1: when you couldn't go to the gym, you couldn't do 177 00:08:26,800 --> 00:08:29,040 Speaker 1: the things that used to do. It was very novel. 178 00:08:29,120 --> 00:08:32,160 Speaker 1: It's this this screen on your on your bike. It 179 00:08:32,200 --> 00:08:34,000 Speaker 1: is so interesting, so in with people. But then you 180 00:08:34,080 --> 00:08:35,959 Speaker 1: do it three or four times and you kind of 181 00:08:35,960 --> 00:08:38,680 Speaker 1: got the idea. Right, It's say, it's the same routines, 182 00:08:38,720 --> 00:08:41,080 Speaker 1: it's not variable enough. Let alone the fact that it's 183 00:08:41,120 --> 00:08:43,760 Speaker 1: hard work, right, You're you're really pushing yourself. So it's 184 00:08:43,920 --> 00:08:46,760 Speaker 1: Uh that I think was what what what went wrong 185 00:08:46,920 --> 00:08:50,160 Speaker 1: was that they didn't maintain the sense of variability. Yeah, 186 00:08:50,200 --> 00:08:52,000 Speaker 1: you know, you're talk to us a little bit about 187 00:08:52,080 --> 00:08:54,360 Speaker 1: some of the companies you've invested in over the year 188 00:08:54,520 --> 00:08:57,600 Speaker 1: and how this notion of habit forming it had sort 189 00:08:57,600 --> 00:09:00,040 Speaker 1: of played into your thesis of whether or not a 190 00:09:00,120 --> 00:09:02,079 Speaker 1: company's worth investing in. And if you give us some 191 00:09:02,160 --> 00:09:05,280 Speaker 1: examples of where where it worked, well, yeah, it's it's 192 00:09:05,320 --> 00:09:09,000 Speaker 1: been amazing. So the book came out in Hooked How 193 00:09:09,040 --> 00:09:11,959 Speaker 1: to Build Habitforming Products, and uh, it's been used in 194 00:09:12,080 --> 00:09:15,559 Speaker 1: every conceivable industry. Education is one I'm super proud of 195 00:09:15,600 --> 00:09:17,439 Speaker 1: whenever I see a company using the hook model. A 196 00:09:17,520 --> 00:09:19,719 Speaker 1: few years ago, I got a call from these young 197 00:09:19,880 --> 00:09:23,240 Speaker 1: entrepreneurs uh in Norway building this little app. They showed 198 00:09:23,240 --> 00:09:25,440 Speaker 1: me the Hook model. I was so impressed. I immediately said, 199 00:09:25,440 --> 00:09:26,800 Speaker 1: please take my money. I want to, I want to, 200 00:09:26,880 --> 00:09:28,640 Speaker 1: I want in because they showed me how they really 201 00:09:28,640 --> 00:09:31,120 Speaker 1: applied the book. And today that company's cahoot, it's the 202 00:09:31,160 --> 00:09:34,960 Speaker 1: most widely used educational software in the world. Uh. And uh, 203 00:09:35,000 --> 00:09:37,040 Speaker 1: I've got the last time I checked that a multibillion 204 00:09:37,080 --> 00:09:39,800 Speaker 1: dollar valuation. And what are they doing. They're getting kids 205 00:09:39,880 --> 00:09:42,360 Speaker 1: hooked onto online learning. So how are they doing that? 206 00:09:42,440 --> 00:09:44,480 Speaker 1: What are some of the techniques? Yeah, so they have 207 00:09:44,559 --> 00:09:46,959 Speaker 1: this really innovative it's like a it's uh, you you 208 00:09:47,120 --> 00:09:50,160 Speaker 1: get the so the hook model. I'm trying to summarize, uh, 209 00:09:50,440 --> 00:09:53,000 Speaker 1: three page book and and don't do any seconds. But 210 00:09:53,120 --> 00:09:55,599 Speaker 1: essentially what they're doing is, uh, they're getting kids to 211 00:09:55,720 --> 00:09:59,000 Speaker 1: invest in making these quizzes on their own to share 212 00:09:59,080 --> 00:10:02,079 Speaker 1: with their peers. And so that investment phase this is 213 00:10:02,120 --> 00:10:04,720 Speaker 1: really special. That that's great. Yeah, the investment phase where 214 00:10:04,720 --> 00:10:07,000 Speaker 1: you put effort into something to make it better. So 215 00:10:07,080 --> 00:10:09,840 Speaker 1: when you are the person making the quiz, right, as 216 00:10:09,840 --> 00:10:11,719 Speaker 1: opposed to saying that when we were in school was 217 00:10:11,800 --> 00:10:14,679 Speaker 1: a pop quiz Today that sucks right, horrible. Here the 218 00:10:14,760 --> 00:10:17,240 Speaker 1: kids are making it for their peers and then in 219 00:10:17,360 --> 00:10:20,720 Speaker 1: the class they're playing these quizzes. So anybody body with kids, 220 00:10:20,800 --> 00:10:23,560 Speaker 1: you know, under probably fourteen, I bet you your kids 221 00:10:23,600 --> 00:10:25,920 Speaker 1: have know all about cahoot. And that's a wonderful example. 222 00:10:25,960 --> 00:10:27,599 Speaker 1: You only we only hear about the bad cases. We 223 00:10:27,679 --> 00:10:30,880 Speaker 1: only hear about Facebook and Snapchat melting kids brains. I 224 00:10:30,920 --> 00:10:33,439 Speaker 1: think that story is overblown. But we also need to 225 00:10:33,480 --> 00:10:35,160 Speaker 1: talk about the good examples of how we can actually 226 00:10:35,280 --> 00:10:37,760 Speaker 1: use habit for me, technology for good. Well, you know, 227 00:10:37,840 --> 00:10:39,480 Speaker 1: and here we are. You know, we're not out of 228 00:10:39,480 --> 00:10:41,640 Speaker 1: the pandemic, because we often say, you know, on the 229 00:10:41,720 --> 00:10:43,280 Speaker 1: other side of the pandemic, we're not quite there. But 230 00:10:43,320 --> 00:10:45,559 Speaker 1: it's certainly very different than it was in the you know, 231 00:10:45,720 --> 00:10:48,559 Speaker 1: height of it. But we're trying to figure out, you 232 00:10:48,600 --> 00:10:53,240 Speaker 1: know what, what trends, what habits that we formed during 233 00:10:53,280 --> 00:10:55,240 Speaker 1: the pandemic stay with us or do you think they 234 00:10:55,320 --> 00:10:57,160 Speaker 1: just all go away? Because that was just such a 235 00:10:57,360 --> 00:11:00,840 Speaker 1: different world. It's hard to say what it's better or worse. 236 00:11:00,880 --> 00:11:03,640 Speaker 1: It's definitely different, right, So the things that changed that 237 00:11:03,840 --> 00:11:05,720 Speaker 1: we talk a lot of in the habit formation about 238 00:11:05,800 --> 00:11:09,160 Speaker 1: internal triggers. Internal triggers are uncomfortable emotional states that we 239 00:11:09,240 --> 00:11:12,520 Speaker 1: seek to escape. So every product you use, every product 240 00:11:12,880 --> 00:11:15,400 Speaker 1: you use for one reason, and that is to feel 241 00:11:15,520 --> 00:11:18,760 Speaker 1: something different, to modulate your mood. Because all human behavior 242 00:11:18,920 --> 00:11:22,200 Speaker 1: is motivated by a desire to escape discomfort. All human behavior, 243 00:11:22,240 --> 00:11:26,120 Speaker 1: even the desire to feel good, is psychologically destabilizing. So 244 00:11:26,320 --> 00:11:28,400 Speaker 1: when we went into the pandemic and now we have 245 00:11:28,480 --> 00:11:31,319 Speaker 1: all these internal triggers of fear, uncertainty, doubt all of 246 00:11:31,360 --> 00:11:33,599 Speaker 1: these things that are causing us more internal triggers. What 247 00:11:33,800 --> 00:11:36,000 Speaker 1: changed While people were glued to the news, they were 248 00:11:36,200 --> 00:11:38,600 Speaker 1: scrolling their devices all day long. They were constantly looking 249 00:11:38,640 --> 00:11:40,880 Speaker 1: for an escape from this crazy world that we had 250 00:11:40,960 --> 00:11:43,200 Speaker 1: back then. And so as the world calms down, now 251 00:11:43,320 --> 00:11:45,839 Speaker 1: we're we're or at least in the world never is 252 00:11:45,880 --> 00:11:49,560 Speaker 1: not crazy, but at least this phase is over. Uh, 253 00:11:49,720 --> 00:11:53,320 Speaker 1: we're we're looking for other ways to deal with that discomfort, 254 00:11:53,320 --> 00:11:55,800 Speaker 1: to deal with whatever we're we're handling. Like the same 255 00:11:55,880 --> 00:11:59,000 Speaker 1: goes with workplace distractions, right, So people are not getting 256 00:11:59,040 --> 00:12:03,040 Speaker 1: distracted at home from their from their kids, or from 257 00:12:03,040 --> 00:12:04,600 Speaker 1: their pets. Now that they're going back into the office. 258 00:12:04,640 --> 00:12:07,040 Speaker 1: What we're hearing from employees that they're getting distracted by 259 00:12:07,080 --> 00:12:09,960 Speaker 1: their colleagues, by their bosses. So the distractions didn't go away, 260 00:12:10,000 --> 00:12:12,319 Speaker 1: they just changed. They just shifted around. But you know, 261 00:12:12,440 --> 00:12:15,280 Speaker 1: near you did sort of flick at the idea of 262 00:12:16,160 --> 00:12:18,560 Speaker 1: there can be a backlash to two products that are 263 00:12:18,600 --> 00:12:20,920 Speaker 1: too habit forming, whether it be a parent saying as 264 00:12:20,960 --> 00:12:23,000 Speaker 1: you said, the social media is melting my kid brain. 265 00:12:23,520 --> 00:12:26,959 Speaker 1: So how do you sort of assess that risk when 266 00:12:27,000 --> 00:12:29,959 Speaker 1: you're trying to decide in a company to invest. You know, 267 00:12:30,840 --> 00:12:34,160 Speaker 1: is that risk still there for say the big social 268 00:12:34,240 --> 00:12:37,800 Speaker 1: media for the robin Hoods? You know, how how important 269 00:12:37,880 --> 00:12:40,840 Speaker 1: is that risk do you think to these companies going forward? 270 00:12:41,200 --> 00:12:42,600 Speaker 1: It's a great question. I spent a lot of time 271 00:12:42,640 --> 00:12:45,560 Speaker 1: working on ethics. There's actually a chapter in my book 272 00:12:46,000 --> 00:12:48,280 Speaker 1: called the Morality of Manipulation where I talk about all this, 273 00:12:48,640 --> 00:12:51,679 Speaker 1: but I propose what I call the regret tests. And 274 00:12:51,720 --> 00:12:54,240 Speaker 1: the regret test comes out of my search for how 275 00:12:54,400 --> 00:12:56,280 Speaker 1: do you make sure that you're ethical when you use 276 00:12:56,360 --> 00:12:58,760 Speaker 1: these behavioral design techniques? Because as we talked about, they 277 00:12:58,760 --> 00:13:00,680 Speaker 1: can be used for good. You can help people exercise 278 00:13:00,760 --> 00:13:04,199 Speaker 1: more and uh, save money and form all these great habits. 279 00:13:04,360 --> 00:13:05,640 Speaker 1: But how do you make sure you do it ethically? 280 00:13:05,720 --> 00:13:07,439 Speaker 1: So the regret test sets you don't do it with 281 00:13:07,559 --> 00:13:10,360 Speaker 1: draft Kings or or one of the gambling apps. That's 282 00:13:10,480 --> 00:13:13,640 Speaker 1: that's a that's a great example. Robin hood also potentially 283 00:13:13,640 --> 00:13:16,480 Speaker 1: a great example. So the regret test says that the 284 00:13:17,320 --> 00:13:19,960 Speaker 1: he asks would the user do what we have designed 285 00:13:20,000 --> 00:13:24,200 Speaker 1: for them to do, knowing everything we know summarized as 286 00:13:24,520 --> 00:13:28,280 Speaker 1: would they regret using our product? Because people aren't dumb, right, 287 00:13:28,360 --> 00:13:31,040 Speaker 1: people aren't dumb? That if they regret doing business with you, 288 00:13:31,559 --> 00:13:33,079 Speaker 1: guess what, not only are they not going to do 289 00:13:33,120 --> 00:13:34,520 Speaker 1: business with you, they're going to tell all their friends 290 00:13:34,559 --> 00:13:36,360 Speaker 1: on social media not to do business with you, right, 291 00:13:36,440 --> 00:13:38,280 Speaker 1: And so that's why it's so important when we use 292 00:13:38,320 --> 00:13:41,520 Speaker 1: these behavioral design tactics to do what I insist we do, 293 00:13:41,600 --> 00:13:43,800 Speaker 1: which is usability testing, which we've been doing for decades, 294 00:13:43,960 --> 00:13:46,199 Speaker 1: to bring people in and see if they regret that experience. 295 00:13:46,440 --> 00:13:48,240 Speaker 1: Do we wish we had like an hour here, um 296 00:13:48,320 --> 00:13:50,600 Speaker 1: thirty seconds left tears? There's some thoughts on the metaverse 297 00:13:50,679 --> 00:13:52,840 Speaker 1: from your perspective, like does that become part of our 298 00:13:52,920 --> 00:13:55,600 Speaker 1: habits or something that we're going to enjoy going forward. 299 00:13:55,840 --> 00:13:58,120 Speaker 1: I think it's way too early to tell. We don't 300 00:13:58,120 --> 00:13:59,520 Speaker 1: even know what the metaverse is. We don't have it 301 00:13:59,600 --> 00:14:01,360 Speaker 1: even a deaf finition of whatever. I think it's kind 302 00:14:01,400 --> 00:14:02,920 Speaker 1: of like AI. It's like one of these things that 303 00:14:03,080 --> 00:14:05,760 Speaker 1: captures the imagination we've been thinking about for so long. 304 00:14:06,240 --> 00:14:08,920 Speaker 1: Way too early to to really start putting down roots. 305 00:14:08,960 --> 00:14:10,560 Speaker 1: I think, all right, can I leave it there? Come 306 00:14:10,600 --> 00:14:13,599 Speaker 1: back absolutely within your travels, we would love to have you. 307 00:14:13,880 --> 00:14:17,120 Speaker 1: Have you back neary' all. He's author and investor check 308 00:14:17,160 --> 00:14:20,520 Speaker 1: out his blog Near and Far dot com. Joining us 309 00:14:20,600 --> 00:14:22,160 Speaker 1: here in our interactive Booker Studio