1 00:00:00,560 --> 00:00:04,400 Speaker 1: You know, TT, we're always talking about what we believe. Yes, 2 00:00:04,840 --> 00:00:06,720 Speaker 1: I think one of my favorite things that you say 3 00:00:06,960 --> 00:00:09,319 Speaker 1: is it's okay to change your mind. It's okay to 4 00:00:09,360 --> 00:00:14,120 Speaker 1: say you don't know and to start something new, unlearn, relearn. Yes, 5 00:00:14,560 --> 00:00:17,000 Speaker 1: and I think it's time to bring that message to 6 00:00:17,040 --> 00:00:20,840 Speaker 1: the masses. I'm TT, and I'm Zachiah and from Spotify. 7 00:00:21,040 --> 00:00:49,280 Speaker 1: This is Dope Labs. Welcome to Dope Labs, a weekly 8 00:00:49,360 --> 00:00:52,760 Speaker 1: podcast that mixes hardcore science, pop culture, and a healthy 9 00:00:52,800 --> 00:00:56,280 Speaker 1: dose of friendship. This week, we're talking all about changing 10 00:00:56,400 --> 00:00:59,480 Speaker 1: our minds. Specifically, we really want to know more about 11 00:00:59,520 --> 00:01:02,400 Speaker 1: how we may make up our minds, what happens when 12 00:01:02,440 --> 00:01:05,559 Speaker 1: someone tries to change it, and why we often see 13 00:01:05,600 --> 00:01:09,920 Speaker 1: such strong reactions when people are trying to convince one 14 00:01:09,920 --> 00:01:23,360 Speaker 1: another of something different. Let's get into the recitation. So 15 00:01:23,400 --> 00:01:26,800 Speaker 1: what do we know? I know, at least anecdotally, it 16 00:01:26,880 --> 00:01:29,880 Speaker 1: feels like people's minds can't be changed. They're in the 17 00:01:29,920 --> 00:01:32,880 Speaker 1: comment section acting a fool marker on the Twitter threads. 18 00:01:33,240 --> 00:01:37,160 Speaker 1: I told you so, right, it's wild. I mean, social 19 00:01:37,240 --> 00:01:40,440 Speaker 1: media is a prime example of people not changing their minds. 20 00:01:40,440 --> 00:01:42,440 Speaker 1: It doesn't matter how many facts you bring, there's still 21 00:01:42,480 --> 00:01:46,600 Speaker 1: gonna be people who are very adamant about their perspective. 22 00:01:46,800 --> 00:01:48,920 Speaker 1: That's the nice way I'm going to say it. There's 23 00:01:48,960 --> 00:01:52,840 Speaker 1: always been this type of polarization around really big issues 24 00:01:52,920 --> 00:01:55,840 Speaker 1: that are really complex and loaded, but it feels like 25 00:01:55,960 --> 00:01:59,440 Speaker 1: now we're even seeing this same type of energy. People 26 00:01:59,480 --> 00:02:02,560 Speaker 1: are bringing a lot of smoke for small issues that 27 00:02:03,160 --> 00:02:06,760 Speaker 1: normally we would say we're trivial. People are just grouping 28 00:02:06,840 --> 00:02:08,680 Speaker 1: up in a way that I feel like we didn't 29 00:02:08,760 --> 00:02:10,520 Speaker 1: used to see right, And I don't know what that 30 00:02:10,639 --> 00:02:13,400 Speaker 1: says about us. I don't know what it says about 31 00:02:13,440 --> 00:02:16,080 Speaker 1: our brains. It's like something is happening to us. And 32 00:02:16,120 --> 00:02:18,840 Speaker 1: we talked about this in an earlier episode Lab thirty 33 00:02:18,840 --> 00:02:22,200 Speaker 1: seven with doctors Hofer and Sinatra about how even when 34 00:02:22,240 --> 00:02:26,840 Speaker 1: folks are presented with information that is actually true, they 35 00:02:26,880 --> 00:02:30,560 Speaker 1: will still decide to believe the opposite. And we also 36 00:02:30,680 --> 00:02:33,640 Speaker 1: know that a major part of how people get the 37 00:02:33,680 --> 00:02:36,960 Speaker 1: misinformation and choose to stick to it is related to 38 00:02:37,040 --> 00:02:40,600 Speaker 1: our cognitive biases. Doctor Hofer and doctor Sinatra told us 39 00:02:40,600 --> 00:02:42,600 Speaker 1: that too, And so it feels like all that stuff 40 00:02:42,680 --> 00:02:46,240 Speaker 1: is somehow kind of related to changing minds. So what 41 00:02:46,280 --> 00:02:48,560 Speaker 1: do we want to know about changing minds. I want 42 00:02:48,600 --> 00:02:52,000 Speaker 1: to know what is happening in the brain when we 43 00:02:52,080 --> 00:02:55,799 Speaker 1: change our minds, both over time and in the moment. 44 00:02:56,080 --> 00:02:58,959 Speaker 1: What is actually going on? The superhero of me wants 45 00:02:59,000 --> 00:03:01,840 Speaker 1: to know how to change someone's mind. I want to 46 00:03:01,880 --> 00:03:04,360 Speaker 1: know how to do it. How do I breach folks 47 00:03:04,639 --> 00:03:07,600 Speaker 1: who are seeing things differently. I want to know what 48 00:03:07,639 --> 00:03:12,600 Speaker 1: the science says about shifts in public opinion like widespread 49 00:03:12,600 --> 00:03:16,840 Speaker 1: beliefs and regional norms, and when folks are refusing to 50 00:03:16,960 --> 00:03:21,320 Speaker 1: change what's happening there, even when they sometimes have the 51 00:03:21,360 --> 00:03:23,880 Speaker 1: evidence that they should change. It's a lot to learn. 52 00:03:24,240 --> 00:03:37,960 Speaker 1: Let's jump into the dissections. Our guest for today's lab 53 00:03:38,120 --> 00:03:39,120 Speaker 1: is David McRaney. 54 00:03:39,360 --> 00:03:43,000 Speaker 2: I'm David McCraney. I'm a science journalist and author and podcaster, 55 00:03:43,120 --> 00:03:44,840 Speaker 2: if that's even a thing people say anymore. 56 00:03:45,280 --> 00:03:48,320 Speaker 1: David has written several books, including You're Not So Smart, 57 00:03:48,360 --> 00:03:51,760 Speaker 1: which is also the name of his podcast. His latest 58 00:03:51,800 --> 00:03:54,760 Speaker 1: book is called How Minds Change. But before we can 59 00:03:54,760 --> 00:03:57,560 Speaker 1: talk about how our minds change, let's talk about what 60 00:03:57,640 --> 00:03:59,840 Speaker 1: happens when we make up our minds in the first place. 61 00:04:00,120 --> 00:04:03,560 Speaker 1: And this has to do with epistemology. Epistemology is the 62 00:04:03,560 --> 00:04:06,880 Speaker 1: theory of knowledge. It's a branch of philosophy that is 63 00:04:07,040 --> 00:04:10,880 Speaker 1: all about what it means to know something, and it's 64 00:04:10,920 --> 00:04:13,520 Speaker 1: a lot of what David writes about in his book. Now, 65 00:04:13,600 --> 00:04:17,920 Speaker 1: epistemology is really complex. Our brains are constantly processing new information, 66 00:04:18,360 --> 00:04:21,120 Speaker 1: and we touched on this in some earlier labs. You 67 00:04:21,200 --> 00:04:23,680 Speaker 1: might remember this with Lab ten of lie to me 68 00:04:24,120 --> 00:04:27,080 Speaker 1: how people can have totally different memories of the same event, 69 00:04:27,480 --> 00:04:29,680 Speaker 1: or Lab fourteen in the Art of the con with 70 00:04:29,760 --> 00:04:32,400 Speaker 1: doctor Lsana Harris, where we talked about scams and why 71 00:04:32,480 --> 00:04:35,840 Speaker 1: we fall for them. So before we jump into changing 72 00:04:35,880 --> 00:04:40,480 Speaker 1: our minds, let's really construct how we make up our minds. Well, 73 00:04:40,480 --> 00:04:42,960 Speaker 1: the first thing to consider is how our brains are 74 00:04:43,040 --> 00:04:46,599 Speaker 1: working to decide what we know in the first place. 75 00:04:46,920 --> 00:04:49,840 Speaker 1: In some of our earlier episodes and in David's book, 76 00:04:50,120 --> 00:04:52,960 Speaker 1: there's the understanding that our brain is never as it 77 00:04:53,160 --> 00:04:58,120 Speaker 1: was before. It's constantly changing. With each interaction. Neurons are firing, 78 00:04:58,240 --> 00:05:02,960 Speaker 1: creating new connections or reinforcing old ones, physically changing the 79 00:05:02,960 --> 00:05:06,239 Speaker 1: brain from one interaction to the next, and that's what's 80 00:05:06,279 --> 00:05:08,040 Speaker 1: called neuroplasticity. 81 00:05:08,680 --> 00:05:12,560 Speaker 2: The brain is this thing that it creates a virtual 82 00:05:12,600 --> 00:05:15,599 Speaker 2: reality in your head, and that virtual reality gets more 83 00:05:15,640 --> 00:05:18,440 Speaker 2: and more complex over time as we grow up and 84 00:05:18,520 --> 00:05:21,560 Speaker 2: experience things and learn things and start forming identities and 85 00:05:21,560 --> 00:05:22,960 Speaker 2: group identities. 86 00:05:22,440 --> 00:05:25,280 Speaker 1: And so when we consider how we experience and learn things, 87 00:05:25,640 --> 00:05:30,520 Speaker 1: David turned to twentieth century psychologist Jean Piget PSA is 88 00:05:30,560 --> 00:05:35,000 Speaker 1: considered the father of what is known as genetic epistemology, 89 00:05:35,320 --> 00:05:39,479 Speaker 1: and this type of epistemology is basically studying knowledge that 90 00:05:39,720 --> 00:05:44,560 Speaker 1: centers your interaction with the environment. Pha developed two concepts 91 00:05:44,600 --> 00:05:47,479 Speaker 1: which are really helpful in understanding what's going on when 92 00:05:47,480 --> 00:05:51,640 Speaker 1: we change our minds or resist changing. Those concepts are 93 00:05:51,960 --> 00:05:54,240 Speaker 1: assimilation and accommodation. 94 00:05:54,800 --> 00:05:59,800 Speaker 2: Assimilation is when something's ambiguous or uncertain or unfamiliar. We 95 00:06:00,000 --> 00:06:03,200 Speaker 2: we often will try to interpret it as just another 96 00:06:03,240 --> 00:06:05,360 Speaker 2: example of what we already think, feel, and believe. Often 97 00:06:05,480 --> 00:06:10,120 Speaker 2: is confirmation that we were right already. Accommodation is when 98 00:06:10,760 --> 00:06:14,440 Speaker 2: something keeps coming around, like the counter attitudeinal counterfactual information. 99 00:06:14,960 --> 00:06:18,120 Speaker 2: Just so many anomalies build up that you must accommodate 100 00:06:18,160 --> 00:06:19,000 Speaker 2: to make sense of them. 101 00:06:19,400 --> 00:06:23,800 Speaker 1: David provides a great example of both assimilation and accommodation. 102 00:06:24,320 --> 00:06:26,680 Speaker 2: What a child sees a dog for the first time. 103 00:06:26,760 --> 00:06:28,960 Speaker 2: Oftentimes they'll point at it and say, you know, what 104 00:06:29,040 --> 00:06:31,280 Speaker 2: is that and you say a dog, and in their 105 00:06:31,320 --> 00:06:34,440 Speaker 2: minds something categorical happens, something like non human walks on 106 00:06:34,520 --> 00:06:38,320 Speaker 2: four legs, furry, has a tail, it's alive. That's a dog. 107 00:06:38,680 --> 00:06:40,800 Speaker 1: But if you see a dog that's a different color, 108 00:06:41,360 --> 00:06:44,320 Speaker 1: it still fits what you know. It's furry, it walks 109 00:06:44,320 --> 00:06:46,880 Speaker 1: on four legs, it's got a tail, But now you 110 00:06:46,960 --> 00:06:50,120 Speaker 1: have this additional layer of oh, it can be another color. 111 00:06:50,320 --> 00:06:54,240 Speaker 1: But David says, sometimes it's more than just adding that 112 00:06:54,279 --> 00:06:56,400 Speaker 1: single layer, and you have to bring in a lot 113 00:06:56,440 --> 00:06:59,400 Speaker 1: more information. Let's say you see something else that fits 114 00:06:59,440 --> 00:07:01,000 Speaker 1: your example of what a dog could be. 115 00:07:01,320 --> 00:07:03,200 Speaker 2: So then later on when they see a horse, they 116 00:07:03,279 --> 00:07:06,120 Speaker 2: might point out it and go dog, or they might 117 00:07:06,160 --> 00:07:08,839 Speaker 2: say big dog. If they're a really sort of advanced child, 118 00:07:09,600 --> 00:07:13,240 Speaker 2: that's assimilation, Like this seems to fit with what I understand. 119 00:07:13,280 --> 00:07:15,480 Speaker 2: It's walks on four legs, it's furry, it's an animal, 120 00:07:15,720 --> 00:07:17,960 Speaker 2: it's live a dog, right, And you're like, no, no, 121 00:07:18,000 --> 00:07:20,840 Speaker 2: that's horse, and so they have must accommodate to bring 122 00:07:20,840 --> 00:07:21,960 Speaker 2: that into their model. 123 00:07:22,200 --> 00:07:25,760 Speaker 1: Here we get an example of both assimilation and accommodation. 124 00:07:26,280 --> 00:07:29,720 Speaker 1: The interesting thing is that it's always happening, and we're 125 00:07:29,720 --> 00:07:33,280 Speaker 1: doing that right now in this podcast. We're always updating 126 00:07:33,360 --> 00:07:36,040 Speaker 1: our model of reality. And the older we get, the 127 00:07:36,040 --> 00:07:40,360 Speaker 1: more information we consume, the more complex this process gets, 128 00:07:40,400 --> 00:07:41,800 Speaker 1: and the higher the stakes get. 129 00:07:42,120 --> 00:07:46,600 Speaker 2: Your model reality gets so complex that you start being 130 00:07:46,640 --> 00:07:49,080 Speaker 2: careful when you walk this tightrope, as I describe it 131 00:07:49,080 --> 00:07:51,120 Speaker 2: in the book, this tightrope of if you update when 132 00:07:51,160 --> 00:07:53,960 Speaker 2: you shouldn't, then you will become wrong, and if you 133 00:07:53,960 --> 00:07:56,640 Speaker 2: don't update when you should, you'll stay wrong. So we're 134 00:07:56,720 --> 00:07:58,680 Speaker 2: very careful on this tightrope. But at a certain point 135 00:07:58,800 --> 00:08:01,760 Speaker 2: the model is so complex that it's better to err 136 00:08:01,760 --> 00:08:03,840 Speaker 2: on the side of well, it got me here at least, 137 00:08:04,080 --> 00:08:07,200 Speaker 2: so I will be careful about updating. So that's the 138 00:08:07,240 --> 00:08:10,680 Speaker 2: baseline resistance, and it's very rational, it's not weird, it's 139 00:08:10,680 --> 00:08:13,960 Speaker 2: not unusual. It's a logical good thing to do. But 140 00:08:14,000 --> 00:08:18,560 Speaker 2: that resistance starts bumping up from that baseline depending on 141 00:08:18,600 --> 00:08:20,559 Speaker 2: all sorts of other motivations that come into play. 142 00:08:20,800 --> 00:08:22,880 Speaker 1: And this makes sense. It aligns with what we learn 143 00:08:22,920 --> 00:08:26,120 Speaker 1: from Doctor's Whole Friend Sinatra in Lap thirty seven about 144 00:08:26,120 --> 00:08:30,000 Speaker 1: how cognitive biases help us stay in the models that 145 00:08:30,080 --> 00:08:32,960 Speaker 1: our minds have already created and predicted about the world 146 00:08:33,000 --> 00:08:36,120 Speaker 1: around us. Remember like we talked about with doctor Wendy 147 00:08:36,120 --> 00:08:39,840 Speaker 1: Suzuki in our lab about good anxiety. If your brain 148 00:08:39,880 --> 00:08:43,439 Speaker 1: doesn't know what's going on, it's on constant alert. We 149 00:08:43,520 --> 00:08:46,120 Speaker 1: can't take that type of alerting new thing, new thing, 150 00:08:46,160 --> 00:08:48,600 Speaker 1: new thing, it's too much. So it makes sense for 151 00:08:48,679 --> 00:08:50,960 Speaker 1: your brain to want to be able to predict what 152 00:08:51,040 --> 00:08:54,439 Speaker 1: should happen and to kind of dampen those alerts and say, Okay, 153 00:08:54,760 --> 00:08:56,800 Speaker 1: this is supposed to be like this, This fits my 154 00:08:56,840 --> 00:08:59,280 Speaker 1: model of what should be happening in the world. Your 155 00:08:59,320 --> 00:09:01,839 Speaker 1: brain wants to have some predictive power so that it 156 00:09:01,880 --> 00:09:04,719 Speaker 1: won't be startled or alarmed. Right, It's like when you're 157 00:09:04,720 --> 00:09:07,760 Speaker 1: in bed at night and you might hear your air 158 00:09:07,800 --> 00:09:10,720 Speaker 1: conditioner cut on. If your brain doesn't store that sound 159 00:09:10,760 --> 00:09:13,440 Speaker 1: as a sound that you know, you're gonna wake up 160 00:09:13,520 --> 00:09:16,120 Speaker 1: ready to fight. Every single night. 161 00:09:16,480 --> 00:09:19,920 Speaker 2: You are building your model of reality each experience that 162 00:09:20,000 --> 00:09:23,640 Speaker 2: you have, and that means that there are more opportunities 163 00:09:23,640 --> 00:09:27,640 Speaker 2: when you're young to encounter things that are ambiguous, uncertain, 164 00:09:28,080 --> 00:09:31,000 Speaker 2: and unfamiliar. But the same things that you do as 165 00:09:31,000 --> 00:09:33,240 Speaker 2: an adult, you'll do as a child, you will base 166 00:09:33,320 --> 00:09:35,959 Speaker 2: your updating on how much does this match what I 167 00:09:36,000 --> 00:09:39,120 Speaker 2: already understand? How much does this counter what I saw before? 168 00:09:39,240 --> 00:09:41,080 Speaker 2: How new is this? And then you also think how 169 00:09:41,080 --> 00:09:43,840 Speaker 2: will this reflect upon my identity? You also have different 170 00:09:43,880 --> 00:09:46,560 Speaker 2: sources of trust as a child. Mostly it's your parents 171 00:09:46,960 --> 00:09:49,840 Speaker 2: and the culture that you're steeped within. 172 00:09:50,080 --> 00:09:52,040 Speaker 1: And that makes a lot of sense. A lot of 173 00:09:52,080 --> 00:09:55,480 Speaker 1: what we believe as adults is based off of how 174 00:09:55,520 --> 00:09:59,640 Speaker 1: we were raised by our caregivers, our parents, our grandparents, 175 00:09:59,640 --> 00:10:02,640 Speaker 1: whatever community that we are a part of. But then 176 00:10:02,679 --> 00:10:07,040 Speaker 1: we're also developing a model of reality as we grow. 177 00:10:07,720 --> 00:10:10,920 Speaker 1: So maybe in your house every Friday it was pizza night. 178 00:10:11,559 --> 00:10:14,240 Speaker 1: That's the culture of your family. But then as you 179 00:10:14,240 --> 00:10:16,040 Speaker 1: get older you say, you know, maybe I'm not gonna 180 00:10:16,080 --> 00:10:19,440 Speaker 1: do pizza. I'm gonna do something else. You can overlay 181 00:10:19,520 --> 00:10:22,160 Speaker 1: that with things that you know or things that you 182 00:10:22,160 --> 00:10:26,120 Speaker 1: are experiencing as you are moving through life. And not 183 00:10:26,160 --> 00:10:29,840 Speaker 1: only are you creating this social framework, not only are 184 00:10:29,840 --> 00:10:33,719 Speaker 1: you building this physical neural network in your brain, there 185 00:10:33,800 --> 00:10:37,520 Speaker 1: is also chemical changes that happen when things are as 186 00:10:37,559 --> 00:10:42,840 Speaker 1: expected or different from expected. We ask David to tell 187 00:10:42,920 --> 00:10:46,280 Speaker 1: us what chemical is involved in the brain and related 188 00:10:46,320 --> 00:10:47,240 Speaker 1: to changing your mind. 189 00:10:47,480 --> 00:10:49,880 Speaker 2: Dopine is often looked at as the reward chemical, but 190 00:10:49,880 --> 00:10:51,640 Speaker 2: it's really not how that works. It's the chemical that 191 00:10:51,679 --> 00:10:53,960 Speaker 2: alerts you as to whether or not your expectations have 192 00:10:54,000 --> 00:10:56,640 Speaker 2: been parted. So it's more than the chemical of surprise. Now, 193 00:10:56,679 --> 00:10:59,800 Speaker 2: oftentimes those surprises are positive when something happens that doesn't 194 00:10:59,800 --> 00:11:02,400 Speaker 2: matter for expectations. Basically, the brain sort of sits in 195 00:11:02,440 --> 00:11:05,120 Speaker 2: a soup of dopamine and the levels go up and 196 00:11:05,160 --> 00:11:07,320 Speaker 2: down all throughout the day, depending on how what we 197 00:11:07,400 --> 00:11:09,360 Speaker 2: experience match what we expect to experience. 198 00:11:09,559 --> 00:11:12,360 Speaker 1: Okay, so now you may be thinking, I know what 199 00:11:12,440 --> 00:11:14,960 Speaker 1: happens when I learn. I know what happens when I 200 00:11:15,000 --> 00:11:16,920 Speaker 1: know things, or at least when you think you know things. 201 00:11:17,080 --> 00:11:20,240 Speaker 1: I know some of the chemical underpinnings of when things 202 00:11:20,280 --> 00:11:23,920 Speaker 1: go as expected and when they don't. But when are 203 00:11:23,960 --> 00:11:26,000 Speaker 1: y'all going to tell me how to convince somebody else 204 00:11:26,040 --> 00:11:27,560 Speaker 1: that they have it wrong and they should see it 205 00:11:27,600 --> 00:11:50,000 Speaker 1: my way. That's after the break. We're back, but before 206 00:11:50,040 --> 00:11:52,800 Speaker 1: we get to the rest of this lab, we have 207 00:11:52,880 --> 00:11:55,040 Speaker 1: to let you know what's coming up next. Next week, 208 00:11:55,520 --> 00:11:58,520 Speaker 1: we heard the call. We will be talking about monkey pops, 209 00:11:58,640 --> 00:12:01,120 Speaker 1: So make sure you check it out to get the 210 00:12:01,320 --> 00:12:04,920 Speaker 1: truth about Monkey Pock's not just what's being spread on Instagram. 211 00:12:05,480 --> 00:12:08,920 Speaker 1: Let's get back to today's lab. We've been talking to David mcraaney, 212 00:12:09,080 --> 00:12:12,800 Speaker 1: a journalist, lecturer, and author of the book How Mine's Changed. 213 00:12:13,240 --> 00:12:16,920 Speaker 1: In David's quest to understand how Mine's changed, he talked 214 00:12:16,960 --> 00:12:20,760 Speaker 1: to canvassers, people who are in cults, you name it, 215 00:12:20,840 --> 00:12:23,280 Speaker 1: anybody who's changing someone else's mind. 216 00:12:23,440 --> 00:12:25,320 Speaker 2: What blew my mind about doing that was all these 217 00:12:25,320 --> 00:12:28,200 Speaker 2: different groups had never met each other, and most of 218 00:12:28,200 --> 00:12:30,240 Speaker 2: them were not aware of any of the psychological literature 219 00:12:30,280 --> 00:12:33,319 Speaker 2: that helped explain what was working. Yet they all came 220 00:12:33,400 --> 00:12:35,880 Speaker 2: up with pretty much the exact same thing, and if 221 00:12:35,880 --> 00:12:37,800 Speaker 2: they had steps, the steps were pretty much the exact 222 00:12:37,840 --> 00:12:38,400 Speaker 2: same steps. 223 00:12:38,679 --> 00:12:44,199 Speaker 1: So we've arrived at the pivotal question how to change 224 00:12:44,360 --> 00:12:49,680 Speaker 1: someone's mind. First things First, ask yourself why you want 225 00:12:49,720 --> 00:12:50,800 Speaker 1: to do this? 226 00:12:50,800 --> 00:12:53,480 Speaker 2: This is really important. I know we all believe we 227 00:12:53,520 --> 00:12:55,120 Speaker 2: have the moral high ground. I know we all believe 228 00:12:55,120 --> 00:12:57,280 Speaker 2: that we are factually correct and everybody else is dumb. 229 00:12:57,679 --> 00:13:01,240 Speaker 2: I know that's part of being a person. For each issue, 230 00:13:01,400 --> 00:13:04,400 Speaker 2: ask yourself, why do I want to do this? And 231 00:13:04,440 --> 00:13:06,720 Speaker 2: then socratic method of your way all the way down. 232 00:13:06,880 --> 00:13:09,600 Speaker 2: Like my dad was really into the birth or conspiracy 233 00:13:09,640 --> 00:13:12,199 Speaker 2: theory back in the day. He's, you know, a white 234 00:13:12,200 --> 00:13:14,240 Speaker 2: man in the Deep South, and he's got all those 235 00:13:14,240 --> 00:13:18,360 Speaker 2: things to go with that Vietnam VET. And I remember 236 00:13:18,520 --> 00:13:20,640 Speaker 2: really getting upset about this and wanting to change his 237 00:13:20,640 --> 00:13:21,800 Speaker 2: mind about it. And I was like, well, why do 238 00:13:21,800 --> 00:13:25,600 Speaker 2: I want to change his mind? Well, because he's wrong, Like, well, 239 00:13:25,640 --> 00:13:27,840 Speaker 2: why does that matter to you? Well, because he's being 240 00:13:28,120 --> 00:13:30,520 Speaker 2: told things by people that are causing harm in this world? 241 00:13:30,520 --> 00:13:31,760 Speaker 2: Why is that important to you? And then I just 242 00:13:31,840 --> 00:13:33,920 Speaker 2: keep going down, down, down, down, And at some point 243 00:13:33,960 --> 00:13:35,800 Speaker 2: I had to admit I just wanted to be able 244 00:13:35,880 --> 00:13:37,839 Speaker 2: to trust this person the way I trust other people. 245 00:13:37,880 --> 00:13:39,439 Speaker 2: I didn't want it to be an US versus them 246 00:13:39,520 --> 00:13:42,480 Speaker 2: thing with my own father. And that's much more base 247 00:13:42,600 --> 00:13:45,600 Speaker 2: than what I may have assumed at first was my motivation. 248 00:13:46,120 --> 00:13:48,920 Speaker 1: David said that really opened up conversation with his dad 249 00:13:48,960 --> 00:13:51,800 Speaker 1: in a way that probably wouldn't have happened if David 250 00:13:51,840 --> 00:13:54,880 Speaker 1: had just insisted he was right. So step one is 251 00:13:54,920 --> 00:13:57,760 Speaker 1: bill rapport. Don't try to manipulate people. You have to 252 00:13:57,800 --> 00:14:00,439 Speaker 1: be transparent, tell them what you're trying to pomplish and 253 00:14:00,520 --> 00:14:03,440 Speaker 1: involve them in the process. Yes, ask them to be 254 00:14:03,480 --> 00:14:06,480 Speaker 1: a part of the process with you and explore why 255 00:14:06,559 --> 00:14:07,840 Speaker 1: you disagree with each other. 256 00:14:08,240 --> 00:14:10,440 Speaker 2: You and I can get together and try to solve 257 00:14:10,480 --> 00:14:12,880 Speaker 2: the mystery of why do you think we see this differently? 258 00:14:13,320 --> 00:14:14,840 Speaker 2: Are you in on that? Could you be on that? 259 00:14:14,880 --> 00:14:18,480 Speaker 2: And like, ask them, don't tell them, don't push You 260 00:14:18,559 --> 00:14:20,400 Speaker 2: have to pull the string, not push it. 261 00:14:20,720 --> 00:14:23,240 Speaker 1: Step two is the frame the issue as a number. 262 00:14:23,400 --> 00:14:25,720 Speaker 1: This gets us out of the right verse, wrong, all 263 00:14:25,840 --> 00:14:29,160 Speaker 1: or nothing to a more nuanced approach to an issue. 264 00:14:29,400 --> 00:14:31,560 Speaker 2: If the issue is an attitude claim, you would say 265 00:14:32,200 --> 00:14:34,160 Speaker 2: how strongly do you feel about this? Like on a 266 00:14:34,160 --> 00:14:37,000 Speaker 2: scale from zero to ten. If it's a fact based claim, 267 00:14:37,040 --> 00:14:39,040 Speaker 2: say how confident are you? How certain are you this 268 00:14:39,120 --> 00:14:41,160 Speaker 2: is true? From zero to ten? Give it a number. 269 00:14:41,440 --> 00:14:42,960 Speaker 2: That's that next thing that I want you to do, 270 00:14:43,000 --> 00:14:45,200 Speaker 2: which is why does that number feel right to you? 271 00:14:45,280 --> 00:14:47,920 Speaker 2: Which is that moment that most people will go mmm, 272 00:14:47,960 --> 00:14:49,640 Speaker 2: and you start thinking in a way that you haven't 273 00:14:49,680 --> 00:14:51,880 Speaker 2: considered before it. But also it gets you out of 274 00:14:51,880 --> 00:14:53,880 Speaker 2: the debate frame. It gets you out of the argument frame. 275 00:14:54,120 --> 00:14:56,120 Speaker 2: Now we're exploring something together. 276 00:14:56,760 --> 00:15:00,560 Speaker 1: David did this to me? Okay? Asked me what my 277 00:15:00,560 --> 00:15:04,360 Speaker 1: favorite movie was. I said it was a Rival. He said, 278 00:15:04,400 --> 00:15:06,240 Speaker 1: how do you rate it? I said a ten. He 279 00:15:06,280 --> 00:15:07,920 Speaker 1: said why a ten and not an eight? I said, 280 00:15:08,000 --> 00:15:12,440 Speaker 1: cause it's good. But then he was like, well, what 281 00:15:12,440 --> 00:15:14,280 Speaker 1: did you like about it? I was like, maybe it 282 00:15:14,320 --> 00:15:18,200 Speaker 1: isn't eight. I'm sorry. I doubt it Arrival, but it 283 00:15:18,240 --> 00:15:20,400 Speaker 1: really got me out of debate mode and more to 284 00:15:21,120 --> 00:15:24,000 Speaker 1: exploratory mode. He actually agreed with me that it was 285 00:15:24,040 --> 00:15:26,880 Speaker 1: a good movie before I gave it a number, and 286 00:15:26,920 --> 00:15:29,320 Speaker 1: so he was kind of working and pulling apart, like 287 00:15:29,400 --> 00:15:31,120 Speaker 1: why I gave it a ten? And I guess that 288 00:15:31,240 --> 00:15:34,560 Speaker 1: helps him understand my value system. When I tell him 289 00:15:34,920 --> 00:15:36,920 Speaker 1: why it's important to me, you. 290 00:15:36,880 --> 00:15:39,680 Speaker 2: Just listen and repeat and reflect and hold space. And 291 00:15:39,840 --> 00:15:41,960 Speaker 2: I'm telling you, it seems like this can't be enough. 292 00:15:42,120 --> 00:15:46,040 Speaker 2: I have watched videos from street epistemology and deep canvassing 293 00:15:46,240 --> 00:15:50,160 Speaker 2: and smart politics, and then in therapeutic models motivational interviewing, 294 00:15:50,200 --> 00:15:51,880 Speaker 2: which much of this is based on, and I have 295 00:15:51,960 --> 00:15:54,760 Speaker 2: watched people talk themselves out of their position over and 296 00:15:54,800 --> 00:15:56,400 Speaker 2: over and over again by just holding space. 297 00:15:56,440 --> 00:16:03,920 Speaker 1: In this way. Of course, there is a caveat when 298 00:16:03,960 --> 00:16:08,960 Speaker 1: you're dealing with prejudice, racism, sexism, or really hot issues 299 00:16:09,000 --> 00:16:12,040 Speaker 1: like guns or abortions. You might not want to do this, 300 00:16:12,760 --> 00:16:16,880 Speaker 1: especially if you're the target of that prejudice. And that 301 00:16:17,280 --> 00:16:18,400 Speaker 1: is totally fine. 302 00:16:18,640 --> 00:16:20,640 Speaker 2: I get that you feel this way and that it's 303 00:16:20,720 --> 00:16:22,600 Speaker 2: not weird to feel that way. But if you want 304 00:16:22,640 --> 00:16:24,640 Speaker 2: to change someone's mind, if that's your goal, do you 305 00:16:24,720 --> 00:16:27,440 Speaker 2: have to approach it in this non judgmental, listening sort 306 00:16:27,440 --> 00:16:30,640 Speaker 2: of way. And I know that sucks. It's weird. It's 307 00:16:30,720 --> 00:16:33,440 Speaker 2: easy to justify any of your behaviors, and it's easy 308 00:16:33,440 --> 00:16:36,480 Speaker 2: to rationalize what you want to do without introspecting the 309 00:16:36,520 --> 00:16:38,760 Speaker 2: antecedents of all those things. Why do I want to 310 00:16:38,800 --> 00:16:42,120 Speaker 2: do that? And that's also true in arguing. Why do 311 00:16:42,160 --> 00:16:44,640 Speaker 2: I feel so strongly? Why does that person feel so strongly? 312 00:16:44,760 --> 00:16:46,840 Speaker 2: It's very easy for a person in an argument to 313 00:16:46,840 --> 00:16:49,600 Speaker 2: come up with justifications and rationalizations, and then I'll take 314 00:16:49,640 --> 00:16:52,440 Speaker 2: my justifications and rationalizations and I'll throw them at yours 315 00:16:52,920 --> 00:16:54,800 Speaker 2: and we'll do one of those things where we If 316 00:16:54,800 --> 00:16:57,840 Speaker 2: you're online, I share links, you share links, I share videos, 317 00:16:57,920 --> 00:17:01,240 Speaker 2: you share videos, and nothing happens. The reason nothing happens 318 00:17:01,320 --> 00:17:04,040 Speaker 2: is because we are motivated reasoners, so we have some 319 00:17:04,520 --> 00:17:07,040 Speaker 2: motivation at play that let us look at all the 320 00:17:07,040 --> 00:17:10,800 Speaker 2: information available and cherry picked the evidence that supported the 321 00:17:10,840 --> 00:17:13,920 Speaker 2: emotion that we felt regarding that issue. Then we put 322 00:17:13,920 --> 00:17:15,000 Speaker 2: all that into a collection. 323 00:17:15,520 --> 00:17:19,879 Speaker 1: David explains that motivated reasoning causes us to judge information 324 00:17:19,960 --> 00:17:24,560 Speaker 1: differently because we're biased emotionally, so even if the evidence 325 00:17:24,640 --> 00:17:27,000 Speaker 1: isn't really there, we want it to fit what we've 326 00:17:27,080 --> 00:17:29,720 Speaker 1: already decided. I know plenty of people like that. 327 00:17:30,160 --> 00:17:32,960 Speaker 2: And then we meet another person. We take stuff out 328 00:17:32,960 --> 00:17:35,000 Speaker 2: of that collection and go, this is why I believe this, 329 00:17:35,400 --> 00:17:37,800 Speaker 2: But that's not why you believe it. That was something 330 00:17:37,800 --> 00:17:40,680 Speaker 2: you found after the fact, that was at the end 331 00:17:40,680 --> 00:17:43,680 Speaker 2: of the process. But they also have done the same thing, 332 00:17:43,720 --> 00:17:45,359 Speaker 2: and so they're like, oh, really, well, here's why I 333 00:17:45,400 --> 00:17:47,679 Speaker 2: believe what I believe And you start throwing this stuff 334 00:17:47,680 --> 00:17:50,520 Speaker 2: back and forth that never actually was the reason why 335 00:17:50,520 --> 00:17:51,560 Speaker 2: you feel the way you feel. 336 00:17:56,320 --> 00:17:59,440 Speaker 1: That's really interesting, and David talks about the truth being 337 00:17:59,560 --> 00:18:03,160 Speaker 1: tribal in his book Yes. A lot of this has 338 00:18:03,240 --> 00:18:07,879 Speaker 1: to do with your identity and how the truth aligns 339 00:18:07,920 --> 00:18:10,639 Speaker 1: with your identity about you and your own group. He 340 00:18:10,720 --> 00:18:13,359 Speaker 1: talks about this experiment where people are challenged with an 341 00:18:13,359 --> 00:18:15,600 Speaker 1: issue and they have to choose a side or decide 342 00:18:15,640 --> 00:18:20,119 Speaker 1: what the truth is. When that happens, their fight or 343 00:18:20,160 --> 00:18:25,320 Speaker 1: flight mode is activated. Wow. And interestingly enough, the more 344 00:18:25,640 --> 00:18:28,760 Speaker 1: they're asked to think about ideas that are associated with 345 00:18:28,800 --> 00:18:33,320 Speaker 1: their own identity, the more the response ramps up. And 346 00:18:33,400 --> 00:18:36,240 Speaker 1: that's because your brain's primary job is to protect yourself, 347 00:18:36,400 --> 00:18:39,760 Speaker 1: and that extends past your physical self to your psychological self. 348 00:18:40,000 --> 00:18:42,399 Speaker 1: We're social people, and part of being social is to 349 00:18:42,440 --> 00:18:45,800 Speaker 1: make groups. And you can imagine groups where resources are limited. 350 00:18:45,960 --> 00:18:50,080 Speaker 1: It's us versus them, and research has found that no 351 00:18:50,119 --> 00:18:54,359 Speaker 1: matter how big or small a difference is between two 352 00:18:54,400 --> 00:18:58,600 Speaker 1: people or two groups, folks will lean into that us 353 00:18:58,680 --> 00:19:02,160 Speaker 1: versus them mentality. Yeah, and so as a result of that, 354 00:19:02,640 --> 00:19:05,320 Speaker 1: because it's us versus them, they will do whatever it 355 00:19:05,359 --> 00:19:09,560 Speaker 1: takes in order to establish a hierarchy that we are 356 00:19:09,600 --> 00:19:13,000 Speaker 1: better than you, even if it's to our own destriment. So, 357 00:19:13,040 --> 00:19:15,800 Speaker 1: now that we know that we have this us versus them, 358 00:19:16,000 --> 00:19:18,399 Speaker 1: are we stuck in our own groups? Well, we argue forever. 359 00:19:18,680 --> 00:19:19,920 Speaker 1: I don't want to argue. 360 00:19:20,160 --> 00:19:23,400 Speaker 2: Reasoning is not flawed or irrational. It's biased and lazy, 361 00:19:23,640 --> 00:19:26,360 Speaker 2: and that's actually a good thing. Arguing is a good thing. 362 00:19:26,560 --> 00:19:28,320 Speaker 2: I think all the arguing we're doing online is the 363 00:19:28,320 --> 00:19:30,360 Speaker 2: greatest thing ever and it's going to lead to a 364 00:19:30,359 --> 00:19:33,200 Speaker 2: better world. I really truly believe that. I do also 365 00:19:33,240 --> 00:19:36,280 Speaker 2: believe the context in which we find ourselves performing these 366 00:19:36,400 --> 00:19:40,520 Speaker 2: arguments is not suited to the way that we evolve 367 00:19:40,680 --> 00:19:43,080 Speaker 2: to interact with other human beings who disagree with us, 368 00:19:43,160 --> 00:19:44,680 Speaker 2: and we'll have to fix that over time. 369 00:19:45,160 --> 00:19:48,480 Speaker 1: David says we have two systems when it comes to debate, deliberation, 370 00:19:48,720 --> 00:19:51,920 Speaker 1: and arguments. One is for producing them and the other 371 00:19:52,160 --> 00:19:55,160 Speaker 1: is for evaluating them. And the system that produces these 372 00:19:55,280 --> 00:19:57,960 Speaker 1: arguments has to be done on an individual level. 373 00:19:58,280 --> 00:20:03,639 Speaker 2: We're individually producing our argument, but we're never individually evaluating arguments. 374 00:20:03,720 --> 00:20:06,479 Speaker 2: I mean not really, because an argument sits out there 375 00:20:06,520 --> 00:20:08,520 Speaker 2: for anyone to see and think and consider. 376 00:20:09,040 --> 00:20:13,120 Speaker 1: So while arguments may be useful, the context around arguments, 377 00:20:13,200 --> 00:20:23,560 Speaker 1: so in online discussions, might not be the best. So 378 00:20:23,640 --> 00:20:26,520 Speaker 1: David is saying that arguing is a good thing and 379 00:20:26,520 --> 00:20:28,840 Speaker 1: that we can all learn and grow from it depending 380 00:20:28,880 --> 00:20:31,600 Speaker 1: on the context. But we can also see we're arguing 381 00:20:32,000 --> 00:20:35,840 Speaker 1: and grouping and even arguing publicly can go wrong, and 382 00:20:35,880 --> 00:20:40,080 Speaker 1: that's when the brain is overprotective it's protecting its social 383 00:20:40,119 --> 00:20:44,200 Speaker 1: self even over its physical self. And David says that 384 00:20:44,600 --> 00:20:48,280 Speaker 1: based on a study, the fear of social death is 385 00:20:48,320 --> 00:20:50,080 Speaker 1: greater than the fear of physical death. 386 00:20:50,359 --> 00:20:52,440 Speaker 2: At the baseline, a lot of resistance comes from something 387 00:20:52,480 --> 00:20:54,720 Speaker 2: that's way simpler. It's almost outside of all those it's 388 00:20:54,720 --> 00:20:57,359 Speaker 2: just something in psychology they call reactants. If you into 389 00:20:57,440 --> 00:21:01,760 Speaker 2: it that your autonomy is at risk, you become motivationally 390 00:21:01,800 --> 00:21:05,720 Speaker 2: aroused to remove the stimulus object, which is a fun 391 00:21:05,720 --> 00:21:08,640 Speaker 2: way of saying, if you push, I will push back. 392 00:21:08,880 --> 00:21:11,480 Speaker 2: What often happens is when I push back, you react, 393 00:21:11,720 --> 00:21:14,159 Speaker 2: and so then you make me push harder, and we 394 00:21:14,200 --> 00:21:17,080 Speaker 2: get into a loop where eventually go, let's agree to disagree, 395 00:21:17,280 --> 00:21:20,200 Speaker 2: which I hate that language because you already agreed to disagree. 396 00:21:20,480 --> 00:21:23,280 Speaker 1: Let me tell you reactants has been haunted me my 397 00:21:23,480 --> 00:21:27,920 Speaker 1: entire life. If I wanted to clean up my room 398 00:21:27,960 --> 00:21:30,400 Speaker 1: and then somebody came and said, hey, clean up your room, 399 00:21:30,520 --> 00:21:32,520 Speaker 1: I immediately don't want to do it. I don't like 400 00:21:32,560 --> 00:21:35,920 Speaker 1: my autonomy to be taken away. Well that doesn't sound 401 00:21:35,960 --> 00:21:40,200 Speaker 1: too different from present day Zekiah, you know, talking about 402 00:21:40,200 --> 00:21:44,720 Speaker 1: a long time ago, But actually today I don't see 403 00:21:44,760 --> 00:21:47,359 Speaker 1: already I'm reacting about what you're saying. I don't. I 404 00:21:47,359 --> 00:21:49,679 Speaker 1: don't even know what I don't. I just don't, Okay, 405 00:21:50,320 --> 00:21:55,080 Speaker 1: I don't. Oh wait, I don't know what your truth is. 406 00:21:55,680 --> 00:21:59,480 Speaker 1: But David talks about concerns about us becoming a post 407 00:21:59,480 --> 00:22:03,760 Speaker 1: truth societ where you have true versus false, honesty versus lying, 408 00:22:03,840 --> 00:22:06,800 Speaker 1: and depending on who you're talking to, what they say 409 00:22:06,880 --> 00:22:10,040 Speaker 1: is going on may be completely different. But I think 410 00:22:10,080 --> 00:22:13,200 Speaker 1: another thing is how people perceive things, like you saw 411 00:22:13,240 --> 00:22:15,320 Speaker 1: it with their own eyes, and somebody it may be 412 00:22:15,440 --> 00:22:19,320 Speaker 1: described somewhere. We saw this like inauguration crowd size. It 413 00:22:19,359 --> 00:22:21,880 Speaker 1: was huge, everybody was there, and it's like, how many 414 00:22:21,960 --> 00:22:23,840 Speaker 1: is everybody? What do you mean by that? I saw 415 00:22:23,840 --> 00:22:28,560 Speaker 1: a lot of floor space? So what does this mean? 416 00:22:28,800 --> 00:22:32,639 Speaker 1: Are we truly living in a post truth world? 417 00:22:33,160 --> 00:22:34,720 Speaker 2: This is what Tom Stafford said to me about this. 418 00:22:35,200 --> 00:22:38,040 Speaker 2: Germs were always a problem for human beings in groups, 419 00:22:38,280 --> 00:22:41,160 Speaker 2: and then we built cities and it became an existential problem. 420 00:22:41,600 --> 00:22:44,359 Speaker 2: So to solve that problem, we had to at the 421 00:22:44,440 --> 00:22:48,160 Speaker 2: level of society develop things like sanitation, and the level 422 00:22:48,160 --> 00:22:50,320 Speaker 2: of the individual, we had to develop things like boiling 423 00:22:50,400 --> 00:22:53,800 Speaker 2: water and washing your hands. And we overcame it, and 424 00:22:53,880 --> 00:22:58,480 Speaker 2: he said, misinformation has always been a problem for people 425 00:22:58,520 --> 00:23:02,120 Speaker 2: in groups. Then we got the Internet and it became existential. 426 00:23:02,320 --> 00:23:05,320 Speaker 2: So we will have to generationally learn the equivalent of 427 00:23:05,760 --> 00:23:07,879 Speaker 2: sanitation and washing our hands when it comes to the 428 00:23:08,040 --> 00:23:09,480 Speaker 2: exchange of ideas and information. 429 00:23:09,920 --> 00:23:12,480 Speaker 1: You know, this is perfect. I think it ties in 430 00:23:12,920 --> 00:23:16,159 Speaker 1: all the things we've been trying to do with dope labs. 431 00:23:16,480 --> 00:23:19,040 Speaker 1: I want to hear other people's opinions. I want to 432 00:23:19,119 --> 00:23:22,159 Speaker 1: understand the experiences they may be having that are different 433 00:23:22,160 --> 00:23:25,080 Speaker 1: from me. I want to take that into account when 434 00:23:25,119 --> 00:23:28,520 Speaker 1: I'm considering my own experiences. I also want to see 435 00:23:28,560 --> 00:23:31,080 Speaker 1: what's factually happening. I want to know that what I'm 436 00:23:31,119 --> 00:23:34,080 Speaker 1: experiencing and what you're experiencing these things might not be isolated. 437 00:23:34,080 --> 00:23:36,159 Speaker 1: They may be part of a bigger pattern. And just 438 00:23:36,200 --> 00:23:39,280 Speaker 1: because I've observed something thirty times on that thirty first time, 439 00:23:39,440 --> 00:23:41,359 Speaker 1: it could be different, and I want to be open 440 00:23:41,640 --> 00:23:44,879 Speaker 1: to seeing that truth. Yeah, there has to be a process, 441 00:23:45,040 --> 00:23:47,439 Speaker 1: and I'm hoping that we can eventually get to that 442 00:23:47,520 --> 00:23:51,840 Speaker 1: point where checking sources, not just reading headlines and reading 443 00:23:51,840 --> 00:23:55,160 Speaker 1: the whole article, becomes a part of how we consume 444 00:23:55,640 --> 00:23:57,880 Speaker 1: information on the Internet. And it feels hard. I feel 445 00:23:57,920 --> 00:24:00,359 Speaker 1: like I can't fight evolution and what our brains telling 446 00:24:00,440 --> 00:24:02,840 Speaker 1: us to do, which is to use all these cognitive biases. 447 00:24:03,000 --> 00:24:05,359 Speaker 1: And so we asked David, should we just give up? 448 00:24:05,359 --> 00:24:06,679 Speaker 1: I mean, this feels tiring. 449 00:24:07,200 --> 00:24:12,040 Speaker 2: No one's unreachable, no one is impossible to persuade, and 450 00:24:12,480 --> 00:24:15,200 Speaker 2: most of us share very common values, and most of 451 00:24:15,280 --> 00:24:17,320 Speaker 2: us will agree that the problems that are the problems 452 00:24:17,359 --> 00:24:19,879 Speaker 2: are the problems. If you in research where they have 453 00:24:19,960 --> 00:24:23,320 Speaker 2: people look at the UN survey of values, they find 454 00:24:23,480 --> 00:24:27,359 Speaker 2: incredible agreement on those issues. A lot of our assumptions 455 00:24:27,359 --> 00:24:30,840 Speaker 2: of us versus them are lose rey to the point 456 00:24:30,960 --> 00:24:33,560 Speaker 2: of causing real harm in the world. That's not to 457 00:24:33,600 --> 00:24:36,240 Speaker 2: say there aren't bad actors people who do not wish 458 00:24:36,320 --> 00:24:38,439 Speaker 2: to engage you in good faith and who actually do 459 00:24:38,480 --> 00:24:40,800 Speaker 2: want to cause harm and would be totally okay with 460 00:24:40,880 --> 00:24:43,520 Speaker 2: your harm. I feel that those people are in a 461 00:24:43,600 --> 00:24:47,000 Speaker 2: fringe that has been magnified by the way we engage 462 00:24:47,000 --> 00:24:49,919 Speaker 2: in discourse today. Their numbers are few, and their power 463 00:24:50,000 --> 00:24:51,840 Speaker 2: is we can it'll stay that way if we keep 464 00:24:51,880 --> 00:24:54,320 Speaker 2: it that way. And traditionally, over the course of our 465 00:24:54,440 --> 00:24:57,560 Speaker 2: long history, there have been moments where those bad actors 466 00:24:57,600 --> 00:25:00,400 Speaker 2: have risen to power and have exerted political and influence, 467 00:25:01,119 --> 00:25:04,080 Speaker 2: and it was the work of people who are diligent 468 00:25:04,560 --> 00:25:08,080 Speaker 2: and indefatigable and refuse to give into hopelessness, who push. 469 00:25:07,920 --> 00:25:14,800 Speaker 1: That stuff down. I really like what David said, to 470 00:25:14,840 --> 00:25:18,600 Speaker 1: not give in too hopelessness. Yes, and you know we're 471 00:25:18,640 --> 00:25:22,919 Speaker 1: both human. Well you know I'm a little bit more 472 00:25:23,000 --> 00:25:25,520 Speaker 1: human than you. Yes, I'm a little bit more martian. 473 00:25:29,320 --> 00:25:33,080 Speaker 1: It's easy for us to also, you know, watch the 474 00:25:33,119 --> 00:25:36,240 Speaker 1: news and watch conversation about things and be like, what 475 00:25:36,440 --> 00:25:40,000 Speaker 1: that's not true. I feel like, I know we both 476 00:25:40,200 --> 00:25:43,159 Speaker 1: have been looking at the conversation around monkey pox, you know, 477 00:25:43,240 --> 00:25:45,119 Speaker 1: and saying, what that's not true? Are we going to 478 00:25:45,160 --> 00:25:47,919 Speaker 1: make these same mistakes from before? And so it can 479 00:25:48,080 --> 00:25:51,600 Speaker 1: be easy to slip into that hopelessness. But David says, 480 00:25:51,640 --> 00:25:55,600 Speaker 1: stand up. Yeah. So I actually had a conversation with 481 00:25:55,640 --> 00:25:58,080 Speaker 1: you about this where someone that we both know had 482 00:25:58,119 --> 00:26:01,320 Speaker 1: posted something on their Instagram about monkey that I was like, 483 00:26:01,400 --> 00:26:04,200 Speaker 1: this is not true. When we had just talked to 484 00:26:04,280 --> 00:26:07,840 Speaker 1: David and you were like, hey, David would say say something. 485 00:26:08,480 --> 00:26:13,760 Speaker 1: So I went back and said, hey, y'all, that ain't this, 486 00:26:13,760 --> 00:26:16,600 Speaker 1: This ain't right, because we cannot give up hope. We 487 00:26:16,720 --> 00:26:20,600 Speaker 1: have to keep pushing truth. I think we maybe have 488 00:26:20,680 --> 00:26:24,240 Speaker 1: this unrealistic expectation that everybody will be on board. I 489 00:26:24,280 --> 00:26:26,159 Speaker 1: think it's never going to be one hundred percent. But 490 00:26:26,240 --> 00:26:28,800 Speaker 1: what we do want to do is to equip folks 491 00:26:28,800 --> 00:26:31,000 Speaker 1: who are in that middle area that are just uninformed. 492 00:26:31,040 --> 00:26:32,919 Speaker 1: We want to equip them with some tools to be 493 00:26:32,960 --> 00:26:36,399 Speaker 1: able to know how to evaluate information and to be 494 00:26:36,440 --> 00:26:41,040 Speaker 1: able to even recognize bias for themselves, confirmation bias. I 495 00:26:41,200 --> 00:26:44,080 Speaker 1: am good for that. If I think I need a 496 00:26:44,119 --> 00:26:45,879 Speaker 1: thing and then I see an Instagram post for it, 497 00:26:45,920 --> 00:26:48,440 Speaker 1: I say, I knew I needed it. Look when really 498 00:26:48,480 --> 00:26:51,720 Speaker 1: the internet knows what you're doing, right, Yes, And so 499 00:26:51,800 --> 00:26:55,200 Speaker 1: I think we're all susceptible and it's easy to fall prey, 500 00:26:55,400 --> 00:26:57,440 Speaker 1: and so I think we just got to remain diligent. 501 00:27:03,960 --> 00:27:06,600 Speaker 1: All right, y'all, it's time for one thing. What is 502 00:27:06,640 --> 00:27:09,120 Speaker 1: our one thing this week? Zee? Our one thing this 503 00:27:09,200 --> 00:27:13,720 Speaker 1: week is David mcrainey's book, How Minds Change. The Surprising 504 00:27:13,760 --> 00:27:17,840 Speaker 1: Science of Belief, opinion, and Persuasion. I really enjoyed this book. 505 00:27:18,080 --> 00:27:20,359 Speaker 1: We're gonna link it in the show notes. Please please 506 00:27:20,359 --> 00:27:22,800 Speaker 1: please check it out. We're also gonna link some other 507 00:27:22,840 --> 00:27:26,399 Speaker 1: books that we mentioned in this lab that are linked 508 00:27:26,440 --> 00:27:36,959 Speaker 1: to previous labs that we also think you should check out. Okay, 509 00:27:37,000 --> 00:27:39,520 Speaker 1: that's it for Lab seventy five. Did I Change your Mind? 510 00:27:39,680 --> 00:27:42,399 Speaker 1: Are you ready to change other people's minds? Call us 511 00:27:42,400 --> 00:27:45,159 Speaker 1: at two zero two five six seven seven zero two 512 00:27:45,200 --> 00:27:47,280 Speaker 1: eight and tell us what you thought, or give us 513 00:27:47,280 --> 00:27:49,399 Speaker 1: an idea for a lab you think we should do 514 00:27:49,520 --> 00:27:53,240 Speaker 1: the semester that's two zero two five six seven seven 515 00:27:53,320 --> 00:27:55,800 Speaker 1: zero two eight. And don't forget that there is so 516 00:27:56,119 --> 00:27:58,800 Speaker 1: much more to dig into on our website. There'll be 517 00:27:58,800 --> 00:28:02,040 Speaker 1: a cheap key for Today's life, additional links and resources 518 00:28:02,040 --> 00:28:04,200 Speaker 1: in the show notes. Plus you can sign up for 519 00:28:04,240 --> 00:28:07,560 Speaker 1: our newsletter check it out at dope blabspodcast dot com. 520 00:28:07,960 --> 00:28:11,880 Speaker 1: Special thanks to today's guest expert David mcrainey. You can 521 00:28:11,880 --> 00:28:15,040 Speaker 1: find him on Twitter at David McRaney. Also check out 522 00:28:15,080 --> 00:28:17,680 Speaker 1: his book How Mind's Changed. Wherever you get your reading 523 00:28:17,720 --> 00:28:20,480 Speaker 1: materials and you can find us on Twitter and Instagram 524 00:28:20,520 --> 00:28:23,760 Speaker 1: at Dope Labs Podcast. TT's on Twitter and Instagram at 525 00:28:23,840 --> 00:28:27,720 Speaker 1: dr Underscore t Sho, and you can find Zakia at 526 00:28:27,880 --> 00:28:31,600 Speaker 1: z Said So. Dope Labs is a Spotify original production 527 00:28:31,760 --> 00:28:34,840 Speaker 1: from Mega Own Media Group. Our producers are Jenny Rattlet, 528 00:28:35,000 --> 00:28:39,160 Speaker 1: maass Lydia Smith and Izzy Ross of Waverunder Studios. Editing 529 00:28:39,200 --> 00:28:43,720 Speaker 1: and scoring by Rob Smerciak and Griffin Jennings, Mixing by 530 00:28:43,800 --> 00:28:48,080 Speaker 1: Hannes Brown. Original music composed and produced by Taka Yasuzawa 531 00:28:48,200 --> 00:28:53,960 Speaker 1: and Alex Sugier from Spotify. Creative producer Miguel Contreras. Special 532 00:28:53,960 --> 00:28:58,360 Speaker 1: thanks to Shirley Ramos, Jess Borison, Yasmine A Fifi, tillkrat 533 00:28:58,440 --> 00:29:02,320 Speaker 1: Key and Brian Marquis. Executive producers from Mega Oh Media Group, 534 00:29:02,560 --> 00:29:05,200 Speaker 1: r us T t Show, Dia and Zakiah Wattley