1 00:00:00,040 --> 00:00:03,120 Speaker 1: Before we jump into today's episode. We've been teasing it 2 00:00:03,160 --> 00:00:06,000 Speaker 1: a little bit, but the time has finally come. We 3 00:00:06,080 --> 00:00:11,280 Speaker 1: have a planetarium film that is coming out on November sixth. Okay, 4 00:00:11,680 --> 00:00:14,840 Speaker 1: it's called Remix The Unexpected Side of Science, and we 5 00:00:14,920 --> 00:00:18,720 Speaker 1: would love if some of our very very cool friends 6 00:00:18,760 --> 00:00:20,720 Speaker 1: that are listening to our show right now would be 7 00:00:20,720 --> 00:00:22,239 Speaker 1: a part of it. If you head to the link 8 00:00:22,280 --> 00:00:24,639 Speaker 1: in our bio on Instagram, we have a really cool 9 00:00:24,640 --> 00:00:28,160 Speaker 1: way for you to incorporate yourself into our planetarium film. 10 00:00:29,000 --> 00:00:35,360 Speaker 1: I'm TT and I'm Zukiah and this is Dope Labs. 11 00:00:36,680 --> 00:00:39,919 Speaker 1: Welcome to Dope Labs, a weekly podcast that mixes hardcore 12 00:00:40,000 --> 00:00:42,920 Speaker 1: science with pop culture and a healthy dose of friendship. 13 00:00:47,400 --> 00:00:50,559 Speaker 1: Have you seen that trend on social media that's like 14 00:00:50,640 --> 00:00:55,280 Speaker 1: propaganda I'm falling for. It's basically people listing the things 15 00:00:55,280 --> 00:00:58,200 Speaker 1: that they love that may be a scam or not 16 00:00:58,360 --> 00:01:00,160 Speaker 1: very popular, but they don't care. 17 00:01:00,360 --> 00:01:00,600 Speaker 2: You know. 18 00:01:01,160 --> 00:01:04,720 Speaker 1: I have seen it, and I'm like, what's on my list? 19 00:01:05,480 --> 00:01:09,360 Speaker 1: What's on your list? I got a few things. A 20 00:01:11,000 --> 00:01:14,000 Speaker 1: probably that soda is not that bad for you. I 21 00:01:14,040 --> 00:01:15,760 Speaker 1: don't even know if there's anything out there that says that, 22 00:01:15,800 --> 00:01:16,360 Speaker 1: but that's what I. 23 00:01:16,319 --> 00:01:17,000 Speaker 2: Tell so. 24 00:01:18,720 --> 00:01:23,760 Speaker 1: I think I've had some shifts. I know, I've looked 25 00:01:23,760 --> 00:01:25,880 Speaker 1: at the evidence and I'm like, coffee is good for me. 26 00:01:26,240 --> 00:01:29,479 Speaker 1: Do you remember that that it was a wife swap 27 00:01:29,560 --> 00:01:32,240 Speaker 1: episode or where they switched the wives out and the 28 00:01:32,240 --> 00:01:34,319 Speaker 1: families and that little boy was like, bacon. 29 00:01:34,080 --> 00:01:38,800 Speaker 2: Is good for me. I feel like that a lot 30 00:01:38,840 --> 00:01:39,440 Speaker 2: of sad. 31 00:01:39,280 --> 00:01:41,520 Speaker 1: About all the things I love, and I'm like, of course, 32 00:01:41,760 --> 00:01:44,480 Speaker 1: even if there's evidence that tells me it's not, I 33 00:01:44,520 --> 00:01:47,320 Speaker 1: feel the same way. I mean, I also believe that 34 00:01:47,600 --> 00:01:50,640 Speaker 1: barrel jeans are cute. Now. I know that that is 35 00:01:50,680 --> 00:01:53,200 Speaker 1: a polarizing topic right now because of the shape of them. 36 00:01:53,280 --> 00:01:57,280 Speaker 1: Some people are like absolutely not me all the time. 37 00:01:58,840 --> 00:01:59,960 Speaker 2: Yeah, I love a barrel jeane. 38 00:02:00,160 --> 00:02:02,560 Speaker 1: You know, I think the mind is such a curious 39 00:02:02,560 --> 00:02:05,800 Speaker 1: place because, like you were like, oh, they're calling it propaganda, 40 00:02:05,800 --> 00:02:09,120 Speaker 1: but is it propaganda if you know it's not necessarily 41 00:02:09,160 --> 00:02:12,080 Speaker 1: true and it just fits your belief Like, what's propaganda? 42 00:02:12,400 --> 00:02:14,000 Speaker 2: Straight up and down? What is it? 43 00:02:14,160 --> 00:02:17,160 Speaker 1: Right? Propaganda is a communication tactic that is used to 44 00:02:17,320 --> 00:02:21,880 Speaker 1: influence people to further some type of agenda, and we 45 00:02:21,960 --> 00:02:25,040 Speaker 1: know it works one hundred like almost one hundred percent 46 00:02:25,040 --> 00:02:28,920 Speaker 1: of the time. We've seen it work throughout history. Actually, 47 00:02:29,160 --> 00:02:31,040 Speaker 1: even when we think about how maps are drawn. We 48 00:02:31,120 --> 00:02:33,640 Speaker 1: talked about that in our map episode. Yes, or I 49 00:02:33,639 --> 00:02:37,400 Speaker 1: should say cartography. I lend a new word, Russia being 50 00:02:37,520 --> 00:02:40,720 Speaker 1: drawn the way that it is, how it's really really large, 51 00:02:40,760 --> 00:02:42,720 Speaker 1: Like when you look at a map, it's really big, 52 00:02:42,840 --> 00:02:46,200 Speaker 1: it's actually not that big. And that was propaganda that 53 00:02:46,320 --> 00:02:48,840 Speaker 1: was put in place a long time ago in order 54 00:02:48,880 --> 00:02:51,400 Speaker 1: to make Russia seem like really big, so that they 55 00:02:51,400 --> 00:02:54,200 Speaker 1: seemed like a really big threat. Imagine you see this 56 00:02:54,240 --> 00:02:57,160 Speaker 1: whole big country, it's taken up so much of the map, 57 00:02:57,360 --> 00:03:00,640 Speaker 1: and you're feeling like, oh, these are aggressive or people 58 00:03:00,680 --> 00:03:03,480 Speaker 1: that are trying to change your way of life. It 59 00:03:03,480 --> 00:03:05,520 Speaker 1: instills a little bit of fear in your heart. Yeah, 60 00:03:05,600 --> 00:03:08,200 Speaker 1: that makes sense. And that's not the only place where 61 00:03:08,200 --> 00:03:12,400 Speaker 1: we see propaganda at play. This week, we're putting ourselves 62 00:03:12,480 --> 00:03:15,080 Speaker 1: under the microscope. We've talked about it before in little 63 00:03:15,080 --> 00:03:18,280 Speaker 1: bits and pieces, but right, I think we just got 64 00:03:18,280 --> 00:03:21,200 Speaker 1: to say it once and for all. Understanding objectivity or 65 00:03:21,280 --> 00:03:25,040 Speaker 1: the perception of it, does not make you immune to bias. 66 00:03:25,240 --> 00:03:29,600 Speaker 2: Right, You not too smart to fall for the okie doke. 67 00:03:29,680 --> 00:03:33,720 Speaker 1: Okay, never you can have all the number studies, results 68 00:03:33,760 --> 00:03:37,280 Speaker 1: and everything else in the world. And you know, all 69 00:03:37,320 --> 00:03:39,560 Speaker 1: those tables don't move like a good story does. 70 00:03:39,920 --> 00:03:43,800 Speaker 2: You know, look at the Jesse Smole a story. 71 00:03:43,920 --> 00:03:47,240 Speaker 1: Man, what happened there is cause it was like everybody 72 00:03:47,320 --> 00:03:49,160 Speaker 1: was behind him and then they were like then they 73 00:03:49,160 --> 00:03:51,760 Speaker 1: were like nah, and then everybody's behind him again. 74 00:03:51,800 --> 00:03:53,960 Speaker 2: Some people were like, I stand with Jesse. 75 00:03:54,640 --> 00:03:57,040 Speaker 1: And there's a documentary that came out that I have 76 00:03:57,160 --> 00:03:59,160 Speaker 1: not watched yet, but I need to because everybody's saying 77 00:03:59,160 --> 00:03:59,880 Speaker 1: it's really good. 78 00:04:00,040 --> 00:04:02,080 Speaker 2: M So we have to find that out. 79 00:04:02,120 --> 00:04:04,640 Speaker 1: And you know, I think like when you see something 80 00:04:04,680 --> 00:04:06,320 Speaker 1: like that, that's a prime example. 81 00:04:06,680 --> 00:04:07,520 Speaker 2: I stand with Jesse. 82 00:04:07,640 --> 00:04:09,800 Speaker 1: What would make you put on a shirt to stand 83 00:04:09,800 --> 00:04:12,119 Speaker 1: with somebody that you don't even really know? Right? 84 00:04:12,240 --> 00:04:12,520 Speaker 2: Right? 85 00:04:12,560 --> 00:04:16,840 Speaker 1: But our brain prefers these like anecdotal sensational stories. And 86 00:04:17,400 --> 00:04:21,200 Speaker 1: really it's just evolutionary psychology, old brain, old world brain. 87 00:04:21,240 --> 00:04:26,680 Speaker 1: It's hijacking current modern day brain. You know, we got 88 00:04:26,680 --> 00:04:29,280 Speaker 1: to reset. We need a new operating sys. Listen on our. 89 00:04:29,160 --> 00:04:31,240 Speaker 2: Brain, no upgrades. It is terrible. 90 00:04:31,680 --> 00:04:34,640 Speaker 1: And I think it's interesting because we have a brain 91 00:04:34,760 --> 00:04:38,760 Speaker 1: that takes vivid stories, so whether it's rewarding or painful, 92 00:04:38,960 --> 00:04:41,120 Speaker 1: and it don't even have to be rewarding and painful physically. 93 00:04:41,160 --> 00:04:44,680 Speaker 1: It could be socially rewarding or painful. Your brain says 94 00:04:45,040 --> 00:04:48,640 Speaker 1: this weighs the most, like this is the most important thing. 95 00:04:48,760 --> 00:04:50,440 Speaker 1: This reminds me of Lab thirty eight. 96 00:04:50,640 --> 00:04:51,400 Speaker 2: So anxious. 97 00:04:51,400 --> 00:04:53,880 Speaker 1: When we had Wendy Suzuki on the show, she talked 98 00:04:53,920 --> 00:04:59,040 Speaker 1: about anxiety and how before the anxiety system acted as 99 00:04:59,120 --> 00:05:03,120 Speaker 1: a way for us to deter threats out in the wild. 100 00:05:03,279 --> 00:05:04,520 Speaker 2: So back in the caveman that. 101 00:05:04,680 --> 00:05:10,080 Speaker 1: Yeah, different things like hearing some stuff, wrestling. 102 00:05:10,200 --> 00:05:11,000 Speaker 2: I think you were with me. 103 00:05:11,120 --> 00:05:14,720 Speaker 1: That was just yesterday, just yesterday, those leaves were blowing 104 00:05:14,720 --> 00:05:15,960 Speaker 1: and I was like, what is that. 105 00:05:18,360 --> 00:05:20,359 Speaker 2: When we were together? Gonna scare my friend? 106 00:05:20,839 --> 00:05:24,720 Speaker 1: Those evolutionary leaps have not occurred yet from my no, 107 00:05:25,080 --> 00:05:26,039 Speaker 1: not for any of us. 108 00:05:26,120 --> 00:05:27,159 Speaker 2: It'll running from rustling. 109 00:05:27,200 --> 00:05:29,360 Speaker 1: But think about when you see like a silhouette or 110 00:05:29,400 --> 00:05:31,039 Speaker 1: you think you see something and you kind of jump. 111 00:05:31,960 --> 00:05:34,120 Speaker 2: All of those things, even. 112 00:05:34,120 --> 00:05:37,320 Speaker 1: What feels like social discord, Like even if it feels like, okay, 113 00:05:37,640 --> 00:05:39,360 Speaker 1: maybe this person is not having a good time, or 114 00:05:39,400 --> 00:05:41,840 Speaker 1: oh they about to start fighting, you know, all those 115 00:05:41,880 --> 00:05:45,839 Speaker 1: things triggered physiological changes in our bodies. And back in 116 00:05:45,880 --> 00:05:49,360 Speaker 1: the day, Like we're saying that bought you time. Okay, 117 00:05:49,400 --> 00:05:52,240 Speaker 1: faster heart rate, I know, to be more attentive. My 118 00:05:52,320 --> 00:05:56,200 Speaker 1: muscles are gonna be ready. You know, all that anxiety 119 00:05:56,240 --> 00:05:57,880 Speaker 1: system triggered all of that, so you could be like, 120 00:05:57,920 --> 00:05:59,640 Speaker 1: all right, I'm ready to escape if I need to, 121 00:05:59,720 --> 00:06:02,320 Speaker 1: or ready to fight, so fight or flight? Yeah, and 122 00:06:02,360 --> 00:06:05,640 Speaker 1: so present day this translates to It might be something 123 00:06:05,720 --> 00:06:08,760 Speaker 1: like you get a text message from somebody who's like, oh, 124 00:06:08,800 --> 00:06:11,479 Speaker 1: we need to talk or I need that, which is 125 00:06:11,480 --> 00:06:13,719 Speaker 1: what the kids are saying these days, where it's like 126 00:06:13,800 --> 00:06:16,800 Speaker 1: be gonna fight, you need that. That's what they say. 127 00:06:17,880 --> 00:06:20,480 Speaker 1: Somebody text me, you need that. I'm not responding, no 128 00:06:20,520 --> 00:06:22,520 Speaker 1: fight or flight. You're not responding to the text, but 129 00:06:22,600 --> 00:06:23,800 Speaker 1: your body is responding. 130 00:06:24,400 --> 00:06:28,680 Speaker 2: Mine is freeze, fight or freeze. I'm freezing. 131 00:06:29,120 --> 00:06:31,560 Speaker 1: And I think that's so interesting, Like our brains haven't 132 00:06:31,600 --> 00:06:35,200 Speaker 1: made the leap, but our environments have so before you 133 00:06:35,240 --> 00:06:38,240 Speaker 1: know that kind of thing, it was slow information, nothing 134 00:06:38,279 --> 00:06:41,320 Speaker 1: to be alarmed about until there was real threat, and 135 00:06:41,360 --> 00:06:43,760 Speaker 1: that worked great for our brains working like that was great. 136 00:06:43,800 --> 00:06:49,599 Speaker 1: But now it's constant feedback, constant alerts. Is what's that 137 00:06:49,720 --> 00:06:52,839 Speaker 1: sound outside? Is that the trash been or is that 138 00:06:52,880 --> 00:06:55,960 Speaker 1: an intruder? Like so many things, there's a lot going on, 139 00:06:56,160 --> 00:06:58,560 Speaker 1: and I think one of the things that I know 140 00:06:59,080 --> 00:07:02,359 Speaker 1: for a fact that I fall victim too is like 141 00:07:02,960 --> 00:07:07,400 Speaker 1: availability heuristics. Have you heard of this? Like what is 142 00:07:07,560 --> 00:07:10,920 Speaker 1: most recently available in your mind? Like events that are 143 00:07:10,960 --> 00:07:14,760 Speaker 1: easy to recall and that feel emotionally intense, they seem 144 00:07:14,760 --> 00:07:19,200 Speaker 1: way more likely than they really are. I have this problem. Okay, 145 00:07:19,560 --> 00:07:23,000 Speaker 1: I'm susceptible to this. This is when we started talking about, Hey, 146 00:07:23,040 --> 00:07:24,200 Speaker 1: you're not immune to bias. 147 00:07:24,360 --> 00:07:25,480 Speaker 2: I'm not immune to this. 148 00:07:25,960 --> 00:07:28,960 Speaker 1: If I watch something and they're like, oh and the person, 149 00:07:29,160 --> 00:07:30,840 Speaker 1: Now you know. I love a lot of true crime 150 00:07:31,080 --> 00:07:37,600 Speaker 1: and false crime too, just fiction. If there is an 151 00:07:37,640 --> 00:07:40,200 Speaker 1: episode of something I watch and there like, oh, and 152 00:07:40,680 --> 00:07:42,400 Speaker 1: the body was chopped up and was on a trash 153 00:07:42,480 --> 00:07:44,520 Speaker 1: bag in the side of the road. Every time I see 154 00:07:44,520 --> 00:07:46,400 Speaker 1: your trash bag, I'm gonna be like, is it body shaped? 155 00:07:46,640 --> 00:07:47,400 Speaker 2: What's it looking like? 156 00:07:47,920 --> 00:07:50,640 Speaker 1: You know, it's just like whatever I last saw, And 157 00:07:50,640 --> 00:07:52,360 Speaker 1: I'm like, oh, yeah. It's like when people used to 158 00:07:52,360 --> 00:07:54,560 Speaker 1: send those emails that would be like don't step outside 159 00:07:54,560 --> 00:07:56,800 Speaker 1: the gas station. They under your car, they swiping your 160 00:07:57,280 --> 00:07:59,800 Speaker 1: tearing your achilles steel and all this, and I was like, 161 00:08:01,960 --> 00:08:04,720 Speaker 1: you gotta jump to get in your car. Yeah, it's 162 00:08:04,760 --> 00:08:07,040 Speaker 1: wild and those things still exist. It's not even back 163 00:08:07,080 --> 00:08:08,440 Speaker 1: in the day. Like you go on TikTok, you can 164 00:08:08,480 --> 00:08:11,680 Speaker 1: find people who say, oh, if you see a piece 165 00:08:11,720 --> 00:08:14,760 Speaker 1: of tape on your wheel, it's because they're trying to 166 00:08:14,840 --> 00:08:18,559 Speaker 1: traffic you. And hey, that works on me. I'm gonna 167 00:08:18,560 --> 00:08:20,880 Speaker 1: start looking at my tires before I get in the 168 00:08:20,960 --> 00:08:23,520 Speaker 1: car because all those things make me nervous. Yes, I'm 169 00:08:23,560 --> 00:08:27,239 Speaker 1: falling for it, especially when it comes to my safety. Yeah, yes, 170 00:08:27,600 --> 00:08:30,120 Speaker 1: I'm falling for it. But I think that's because what 171 00:08:30,160 --> 00:08:33,720 Speaker 1: we see is there is some truth there right now, 172 00:08:34,000 --> 00:08:36,280 Speaker 1: what the odds are that something like that is happening. 173 00:08:36,400 --> 00:08:40,280 Speaker 1: Let's say tape on your car, tape on your car, 174 00:08:40,520 --> 00:08:42,719 Speaker 1: that somebody might have had tape on their car and 175 00:08:42,760 --> 00:08:46,240 Speaker 1: they got abducted and they were killed. That's a sad story. 176 00:08:46,559 --> 00:08:50,280 Speaker 1: Maybe it's too graphic, but also somebody had tape on 177 00:08:50,320 --> 00:08:51,600 Speaker 1: their car and it was just to hold that back 178 00:08:51,600 --> 00:08:54,360 Speaker 1: windshield down because they went through the car wash, right, 179 00:08:54,679 --> 00:08:58,200 Speaker 1: And what your brain says is, here's this tragic case. 180 00:08:58,280 --> 00:09:00,880 Speaker 1: I remember that and that dominates, like what you think 181 00:09:00,880 --> 00:09:04,480 Speaker 1: about and so your risk perception is like, oh nah, 182 00:09:04,520 --> 00:09:07,319 Speaker 1: this is risky tape on here, call the whole lice, 183 00:09:07,400 --> 00:09:11,240 Speaker 1: call somebody you know. And even when the information when 184 00:09:11,280 --> 00:09:13,280 Speaker 1: it says, hey, crime is really low in your area, 185 00:09:13,360 --> 00:09:17,320 Speaker 1: it doesn't matter. Your brain is just subject to this, right, 186 00:09:17,360 --> 00:09:20,360 Speaker 1: And that makes me think of our monkey pox episode 187 00:09:20,760 --> 00:09:23,240 Speaker 1: where that was Lap seventy six for anybody that's trying 188 00:09:23,280 --> 00:09:25,920 Speaker 1: to go back and listen, where we talk about how 189 00:09:26,000 --> 00:09:31,600 Speaker 1: sensational headlines how it impacts epidemiology, like showing how intense 190 00:09:32,040 --> 00:09:37,400 Speaker 1: or memorable coverage can inflate perceive risk to base rates. 191 00:09:37,600 --> 00:09:41,200 Speaker 1: And I remember there was a video that was going 192 00:09:41,240 --> 00:09:45,360 Speaker 1: across TikTok and instagram reels of somebody on a New 193 00:09:45,440 --> 00:09:49,000 Speaker 1: York train who had like bumps on their skin and 194 00:09:49,040 --> 00:09:51,080 Speaker 1: people were like, look, this person's got monkey pocks. 195 00:09:51,120 --> 00:09:53,000 Speaker 2: That person did not have monkey pocks. 196 00:09:53,400 --> 00:09:56,280 Speaker 1: But I did not see a follow up video also 197 00:09:56,360 --> 00:10:00,440 Speaker 1: going viral correcting the story, because the sensational thing is 198 00:10:00,480 --> 00:10:03,960 Speaker 1: always gonna catch people's attention, but the correction was never 199 00:10:04,320 --> 00:10:08,040 Speaker 1: as sensational. That reminds me, Okay, you said Lap seventy six, 200 00:10:08,200 --> 00:10:10,840 Speaker 1: Lab eighty two in your feed where we talked about 201 00:10:10,880 --> 00:10:14,240 Speaker 1: social media, and in that lab we unpatch how like 202 00:10:14,360 --> 00:10:17,719 Speaker 1: attention hacking or like virality, things that go viral, and 203 00:10:18,160 --> 00:10:20,760 Speaker 1: like kind of how your algorithm may be curated. So 204 00:10:20,800 --> 00:10:22,880 Speaker 1: you're gonna see the things that other people are like, 205 00:10:22,920 --> 00:10:24,080 Speaker 1: Oh my goodness, let me share. 206 00:10:24,160 --> 00:10:24,520 Speaker 2: You can see. 207 00:10:24,679 --> 00:10:26,280 Speaker 1: Sometimes I see stuff and I'm like, this is wild. 208 00:10:26,280 --> 00:10:31,000 Speaker 1: I see how many little envelope paper envelope paper presser. Yeah, 209 00:10:31,280 --> 00:10:35,160 Speaker 1: I'm like, people are sharing this. And so then you 210 00:10:35,240 --> 00:10:37,920 Speaker 1: layer that things being shared and pushed in the front 211 00:10:37,920 --> 00:10:40,560 Speaker 1: of your algorithm or the top of your feed, layer 212 00:10:40,679 --> 00:10:44,760 Speaker 1: that on top of that, recall, right, And so it 213 00:10:44,800 --> 00:10:48,040 Speaker 1: makes those top of mind stories that have the sensational 214 00:10:48,080 --> 00:10:51,240 Speaker 1: thing about them they feel even more common or true 215 00:10:51,280 --> 00:10:53,360 Speaker 1: because also when you tell it, somebody's like, yes, I 216 00:10:53,400 --> 00:10:56,600 Speaker 1: saw that too, right, And it just confirms it in 217 00:10:56,679 --> 00:11:00,440 Speaker 1: your mind even though I know these things. I think 218 00:11:00,480 --> 00:11:03,320 Speaker 1: back to Lap thirty seven in Denial where we had 219 00:11:03,480 --> 00:11:06,360 Speaker 1: doctor Gil Sinatras and Barber Hope Ford. 220 00:11:06,400 --> 00:11:08,760 Speaker 2: That was such a good episode. I love that one. 221 00:11:08,920 --> 00:11:11,480 Speaker 1: And they talked about why like these kind of vivid 222 00:11:11,559 --> 00:11:15,520 Speaker 1: narratives and beat tables and charts. I don't want to 223 00:11:15,520 --> 00:11:21,560 Speaker 1: look at tables and charts. I want a real with animation. Okay, right, 224 00:11:22,320 --> 00:11:26,000 Speaker 1: And I think that's how anecdotes that you hear steer 225 00:11:26,040 --> 00:11:44,800 Speaker 1: your judgment more so than like comprehensive evidence. These last 226 00:11:44,840 --> 00:11:47,800 Speaker 1: few episodes over the past few weeks have just been 227 00:11:47,920 --> 00:11:52,480 Speaker 1: showing me more and more how I am a victim 228 00:11:52,800 --> 00:11:55,560 Speaker 1: to this brain and body. So already my brain is ancient. 229 00:11:55,920 --> 00:11:59,400 Speaker 1: You said it had made evolutionary leaps. Now I didn't 230 00:11:59,440 --> 00:12:01,439 Speaker 1: hear you say that yours hadn't made evolutionary leaps. So 231 00:12:01,480 --> 00:12:02,680 Speaker 1: I don't know how to feel about it. 232 00:12:02,679 --> 00:12:05,680 Speaker 2: You know what, To be fair, mine hasn't either. 233 00:12:05,920 --> 00:12:08,240 Speaker 1: Mine has not either, because let me tell you, I 234 00:12:08,280 --> 00:12:12,160 Speaker 1: will jump six feet into the air if I hear 235 00:12:12,240 --> 00:12:16,120 Speaker 1: something while I'm sleeping, and it'll just be my dog's 236 00:12:16,160 --> 00:12:17,480 Speaker 1: toenails on the ground. 237 00:12:19,840 --> 00:12:20,400 Speaker 2: The other way. 238 00:12:21,080 --> 00:12:25,559 Speaker 1: Okay, I'm jumping to conclusions, all right, swan diving into them, 239 00:12:26,080 --> 00:12:28,880 Speaker 1: like if you said this, then it must mean you 240 00:12:29,000 --> 00:12:32,840 Speaker 1: think this. And so all of this really makes me 241 00:12:32,880 --> 00:12:35,520 Speaker 1: think about what's been going on recently with this whole 242 00:12:36,360 --> 00:12:42,280 Speaker 1: Acetamenafin Talanov situation, you know, and how that this can 243 00:12:42,400 --> 00:12:50,600 Speaker 1: lead to a lot of misinformation going viral and really hurting. 244 00:12:50,440 --> 00:12:51,240 Speaker 2: A lot of people. 245 00:12:51,600 --> 00:12:55,080 Speaker 1: Yeah, so if you haven't seen this in the news, 246 00:12:56,200 --> 00:12:57,680 Speaker 1: which I'm pretty sure you have. 247 00:12:58,360 --> 00:12:59,400 Speaker 2: So RFK. 248 00:12:59,600 --> 00:13:03,320 Speaker 1: Junior is the Secretary of Health and Human Services, and 249 00:13:03,520 --> 00:13:08,360 Speaker 1: he recently put out an alert that basically said that 250 00:13:09,080 --> 00:13:13,800 Speaker 1: pregnant people should not be taking talanaw when they're pregnant 251 00:13:13,840 --> 00:13:18,480 Speaker 1: to reduce their fever because it leads to autism in 252 00:13:18,559 --> 00:13:21,760 Speaker 1: the child, which there's no proof of that. And so 253 00:13:21,800 --> 00:13:24,920 Speaker 1: there's there's two things. There's two things that I'm just 254 00:13:25,000 --> 00:13:27,719 Speaker 1: like jumped out of me at first, which I'm like, 255 00:13:27,800 --> 00:13:33,520 Speaker 1: Talinow's a brand, right, explain that for people that don't 256 00:13:33,600 --> 00:13:37,800 Speaker 1: understand that don't know. Talanaw is a branch of a 257 00:13:37,920 --> 00:13:43,800 Speaker 1: company that creates medicine Aceta menafin. Talanaw is the brand. 258 00:13:43,920 --> 00:13:47,160 Speaker 1: It's like Kleenex, you know what I mean. Kleenex is 259 00:13:47,200 --> 00:13:50,800 Speaker 1: the brand, but the product is tissue. The product is tissue, 260 00:13:50,960 --> 00:13:55,000 Speaker 1: like for blowing your nose, and it's just or what's 261 00:13:55,040 --> 00:13:57,760 Speaker 1: another and if that's good? Because if blowing your nose 262 00:13:57,920 --> 00:14:00,800 Speaker 1: was bad, you wouldn't say don't just use clean, you 263 00:14:00,840 --> 00:14:03,400 Speaker 1: would say don't use tissue to blow. 264 00:14:03,200 --> 00:14:05,280 Speaker 2: Your nose, exactly exactly. 265 00:14:05,360 --> 00:14:09,320 Speaker 1: And so using talanol as the word that we are 266 00:14:09,400 --> 00:14:13,520 Speaker 1: using is it just lacks all scientific integrity on its 267 00:14:13,600 --> 00:14:17,480 Speaker 1: face because of that. But if we're talking about a 268 00:14:17,520 --> 00:14:21,200 Speaker 1: sea of menafin that pregnant people use if they get 269 00:14:21,240 --> 00:14:25,400 Speaker 1: sick when they're pregnant to reduce their fever, because when 270 00:14:25,400 --> 00:14:30,040 Speaker 1: you are pregnant, you are carrying a baby in your belly. 271 00:14:30,120 --> 00:14:33,040 Speaker 1: If you get a fever and it goes too high, 272 00:14:33,680 --> 00:14:39,360 Speaker 1: it can potentially like really damage your fetus. And so 273 00:14:39,720 --> 00:14:41,920 Speaker 1: what pregnant people do is take talan all to make 274 00:14:41,920 --> 00:14:44,200 Speaker 1: sure that they keep their body temperature low so that 275 00:14:44,240 --> 00:14:46,600 Speaker 1: they don't have any adverse effects on the baby that 276 00:14:46,640 --> 00:14:51,200 Speaker 1: they're carrying. And so telling folks not to do that 277 00:14:51,760 --> 00:14:54,960 Speaker 1: is one going to incite a lot of fear in 278 00:14:55,040 --> 00:14:57,920 Speaker 1: the people who already have been doing that or the 279 00:14:57,960 --> 00:15:00,160 Speaker 1: people who feel like they have to do that and 280 00:15:00,280 --> 00:15:02,600 Speaker 1: are not sure what they could do to make their 281 00:15:02,640 --> 00:15:05,880 Speaker 1: temperature go down. But then you're also hearing things from 282 00:15:06,280 --> 00:15:09,000 Speaker 1: the current president of the United States saying you gotta 283 00:15:09,080 --> 00:15:14,239 Speaker 1: like tough it out. That's not how that works. It's 284 00:15:14,280 --> 00:15:19,600 Speaker 1: not an issue of toughness at all. And so, and 285 00:15:19,640 --> 00:15:23,400 Speaker 1: when we're talking about biases and falling for the okie dog, 286 00:15:23,600 --> 00:15:27,560 Speaker 1: this is coming from the highest office in the land. 287 00:15:28,120 --> 00:15:30,200 Speaker 2: And it's scary. Yeah, it is. 288 00:15:30,680 --> 00:15:36,040 Speaker 1: I think it's so interesting, like where people draw the line. 289 00:15:36,200 --> 00:15:39,680 Speaker 1: You know, there are some things and people are like, oh, 290 00:15:40,160 --> 00:15:42,160 Speaker 1: I see where they're going, or that's not for me. 291 00:15:42,280 --> 00:15:44,760 Speaker 1: This what do you think we're seeing there with Talanow? 292 00:15:45,240 --> 00:15:48,080 Speaker 1: Do you think it's just oh, people already had something 293 00:15:48,120 --> 00:15:50,760 Speaker 1: against Talanow before. You think it's fear? Do you think 294 00:15:50,800 --> 00:15:53,800 Speaker 1: it's like I think it's fear, and it's tapping into 295 00:15:53,840 --> 00:15:56,000 Speaker 1: the fear of fear that a lot of people have 296 00:15:56,160 --> 00:16:01,120 Speaker 1: about the health and wellness of their kids. Yeah, because 297 00:16:01,280 --> 00:16:03,960 Speaker 1: autism is something that people are like, there was an 298 00:16:03,960 --> 00:16:04,920 Speaker 1: autism back in my day. 299 00:16:05,000 --> 00:16:06,640 Speaker 2: Yes, there was. They just didn't have a way of 300 00:16:06,680 --> 00:16:08,040 Speaker 2: diagnosing it and. 301 00:16:08,520 --> 00:16:10,040 Speaker 1: Or a name to call it, or. 302 00:16:10,000 --> 00:16:10,880 Speaker 2: A name to call it. 303 00:16:10,920 --> 00:16:12,960 Speaker 1: You know, you know, you might have said, oh, so 304 00:16:13,000 --> 00:16:15,320 Speaker 1: and so is a little bit special, a little bit different. 305 00:16:15,360 --> 00:16:18,760 Speaker 1: We didn't have the vocabulary, the words, the classifications that 306 00:16:18,800 --> 00:16:23,280 Speaker 1: we have now. And they're looking for a silver bullet 307 00:16:23,320 --> 00:16:25,240 Speaker 1: is not the right term, but a scapegoat is the 308 00:16:25,280 --> 00:16:27,680 Speaker 1: right term. They're looking for a scapegoat so that they 309 00:16:27,680 --> 00:16:30,120 Speaker 1: could say this is the reason why, Okay, we'll just 310 00:16:30,120 --> 00:16:31,920 Speaker 1: stay away from that, so people can feel a sense 311 00:16:31,960 --> 00:16:35,680 Speaker 1: of like comfort from that. Yes, and that's not wise. 312 00:16:36,000 --> 00:16:38,640 Speaker 1: It's just not wise at all because it doesn't get 313 00:16:38,720 --> 00:16:42,240 Speaker 1: to the fact. And the more we wave our hands 314 00:16:42,240 --> 00:16:44,200 Speaker 1: and say, okay, it's probably a seed of menafin, it's 315 00:16:44,200 --> 00:16:47,320 Speaker 1: a set of menafit. And he's also pulling funds away 316 00:16:47,320 --> 00:16:50,400 Speaker 1: from research. You see where I'm going like, this is 317 00:16:50,520 --> 00:16:53,920 Speaker 1: dangerous territory because like you're putting out things that have 318 00:16:54,160 --> 00:16:58,360 Speaker 1: not been proved scientifically, but then not funding the science 319 00:16:58,520 --> 00:17:01,640 Speaker 1: that can get us too actual fact. I think this 320 00:17:01,800 --> 00:17:05,720 Speaker 1: is really interesting because there feels like multiple things at play. 321 00:17:06,520 --> 00:17:12,200 Speaker 1: You know, you mentioned statements about things that haven't been proved, 322 00:17:12,520 --> 00:17:17,479 Speaker 1: and I think even if there are things that have 323 00:17:17,680 --> 00:17:21,679 Speaker 1: weak associations, you know, we've talked about causation and correlation 324 00:17:21,880 --> 00:17:25,720 Speaker 1: being different, and I think another thing that we know 325 00:17:25,760 --> 00:17:27,920 Speaker 1: about these brains is like they like to hold one story. 326 00:17:27,960 --> 00:17:30,240 Speaker 1: They don't like to hold multiple things. So even as 327 00:17:30,359 --> 00:17:32,520 Speaker 1: if we think back to what we saw at the 328 00:17:32,520 --> 00:17:34,320 Speaker 1: top of twenty twenty when we were trying to make 329 00:17:34,359 --> 00:17:37,679 Speaker 1: sense of a global pandemic, our brains don't like to 330 00:17:37,760 --> 00:17:41,160 Speaker 1: hold multiple things. And so when you give someone a 331 00:17:41,280 --> 00:17:44,280 Speaker 1: single storyline. That's a lot neaterer. That's a lot easier 332 00:17:44,320 --> 00:17:49,840 Speaker 1: to think. And also when you layer social components on 333 00:17:49,880 --> 00:17:53,080 Speaker 1: top of it, like, well, if this comes from someone 334 00:17:53,080 --> 00:17:55,359 Speaker 1: who is part of this political party, if I am 335 00:17:55,400 --> 00:17:58,480 Speaker 1: part of this political party, then I believe this thing. Right, 336 00:17:58,520 --> 00:18:01,199 Speaker 1: you can really think about think and not even just 337 00:18:01,960 --> 00:18:04,280 Speaker 1: group think. Is like when you go along with the crowd. 338 00:18:04,480 --> 00:18:07,920 Speaker 1: This is like group identity, Like my identity is tied 339 00:18:07,960 --> 00:18:11,760 Speaker 1: to this. I am a person who because I believe 340 00:18:11,840 --> 00:18:13,800 Speaker 1: these other things, then I must believe this. And I 341 00:18:13,800 --> 00:18:16,880 Speaker 1: think we are seeing more and more over time these 342 00:18:17,040 --> 00:18:19,760 Speaker 1: odd things that are tied to group identity, Like I 343 00:18:19,800 --> 00:18:22,240 Speaker 1: feel like group identity used to be like we celebrate 344 00:18:22,320 --> 00:18:25,840 Speaker 1: Christmas or we don't, you know what I mean, And 345 00:18:25,880 --> 00:18:30,560 Speaker 1: now it's tied to I wear an American flag pin 346 00:18:30,800 --> 00:18:33,480 Speaker 1: or I don't and or I put a stick room 347 00:18:33,600 --> 00:18:35,159 Speaker 1: this kind of stick room on my car or I 348 00:18:35,200 --> 00:18:35,760 Speaker 1: don't like. 349 00:18:35,800 --> 00:18:37,600 Speaker 2: It's all these little tiny things that. 350 00:18:37,520 --> 00:18:41,560 Speaker 1: Feel so yeah, abstract and UNRELI how is that related 351 00:18:41,600 --> 00:18:42,280 Speaker 1: to identity? 352 00:18:42,320 --> 00:18:42,480 Speaker 2: You know? 353 00:18:43,359 --> 00:18:45,359 Speaker 1: And then I think when something else that you said 354 00:18:45,400 --> 00:18:47,920 Speaker 1: about in the case of a sentiment offin that felt 355 00:18:47,920 --> 00:18:50,119 Speaker 1: really interesting to me, reminded me of what we talked 356 00:18:50,119 --> 00:18:53,080 Speaker 1: about with Lindsay A Joe who did our episode on pain, 357 00:18:53,800 --> 00:18:56,760 Speaker 1: and she talked about the expectation of relief. So if 358 00:18:56,760 --> 00:18:58,399 Speaker 1: I tell you, hey, that's what it is, so you 359 00:18:58,440 --> 00:19:00,840 Speaker 1: won't have to worry about this anymore, whether that's true 360 00:19:00,920 --> 00:19:03,720 Speaker 1: or not, if you expect that, Hey, when I don't 361 00:19:04,200 --> 00:19:06,080 Speaker 1: take a see of minifit, I don't have to worry 362 00:19:06,119 --> 00:19:10,760 Speaker 1: about this thing that gives you immediate relief in your brain, 363 00:19:10,800 --> 00:19:12,760 Speaker 1: your brain can start to think about like, Okay, well 364 00:19:12,760 --> 00:19:14,480 Speaker 1: I can stop worrying about that. I can worry about 365 00:19:14,480 --> 00:19:16,880 Speaker 1: something else. And I think for some. 366 00:19:16,840 --> 00:19:19,280 Speaker 2: People that may feel good. I know, I like to 367 00:19:19,320 --> 00:19:22,639 Speaker 2: take task off my plate, just clear it. 368 00:19:22,680 --> 00:19:35,760 Speaker 1: I don't want to see it control all the league. 369 00:19:38,920 --> 00:19:41,400 Speaker 1: What you're saying completely lines up when we start talking 370 00:19:41,440 --> 00:19:43,919 Speaker 1: about crime, when we see people that are saying like 371 00:19:44,000 --> 00:19:46,680 Speaker 1: whether or not we need you know, these different groups 372 00:19:46,880 --> 00:19:48,560 Speaker 1: showing up in these various. 373 00:19:48,160 --> 00:19:49,680 Speaker 2: Cities that we've been seeing recently. 374 00:19:49,880 --> 00:19:51,800 Speaker 1: When we talk about health, when we talk about it, 375 00:19:51,800 --> 00:19:54,320 Speaker 1: see the minifit, access to vaccines, this and that, like 376 00:19:54,440 --> 00:19:57,119 Speaker 1: all of those things, we see these same kind of 377 00:19:57,160 --> 00:20:01,240 Speaker 1: thought processes and cognitive biases playing out. And another place 378 00:20:01,280 --> 00:20:03,160 Speaker 1: where we see that that we don't talk about often 379 00:20:03,160 --> 00:20:05,840 Speaker 1: on this show, but something happened recently and we got 380 00:20:05,840 --> 00:20:06,240 Speaker 1: to talk about. 381 00:20:06,280 --> 00:20:10,760 Speaker 2: It is religion. That is very true, very true. 382 00:20:10,760 --> 00:20:13,840 Speaker 1: We know that religion could be very sensitive for a 383 00:20:13,840 --> 00:20:16,479 Speaker 1: lot of people, which makes it. But recently there's been 384 00:20:16,520 --> 00:20:20,840 Speaker 1: some virality around people thinking that the rapture was upon them. So, 385 00:20:20,960 --> 00:20:23,840 Speaker 1: for those of you who don't know in Christianity, I'm 386 00:20:23,880 --> 00:20:26,800 Speaker 1: not sure which or which branches of Christianity, but I'll 387 00:20:26,840 --> 00:20:31,359 Speaker 1: say Christianity as the big umbrella that the rapture is. 388 00:20:31,480 --> 00:20:36,000 Speaker 1: When Jesus decides to come back, he takes the souls 389 00:20:36,040 --> 00:20:38,680 Speaker 1: of all of his believers to heaven and leaves behind 390 00:20:38,760 --> 00:20:42,080 Speaker 1: the non believers. And so people were saying that there 391 00:20:42,119 --> 00:20:44,880 Speaker 1: are signs that this is going to happen. Even though 392 00:20:44,920 --> 00:20:47,119 Speaker 1: in the Bible it says that nobody will know the 393 00:20:47,200 --> 00:20:49,480 Speaker 1: time or day that the raptor has happened, these folks 394 00:20:49,480 --> 00:20:51,160 Speaker 1: said that they did know the time and the day, 395 00:20:51,760 --> 00:20:56,480 Speaker 1: and people were selling their cars, they were getting rid 396 00:20:56,480 --> 00:20:59,480 Speaker 1: of their apartments, they were getting rid of all of 397 00:20:59,520 --> 00:21:04,840 Speaker 1: their worldly possessions waiting for the rapture that did not come. 398 00:21:06,040 --> 00:21:11,200 Speaker 1: I think that is another prime example of group identity. 399 00:21:11,440 --> 00:21:14,560 Speaker 1: You know, it's hard for me to reconcile. It's easy 400 00:21:14,800 --> 00:21:17,399 Speaker 1: actually now that we're talking about to step away and 401 00:21:17,440 --> 00:21:19,800 Speaker 1: reconcile it. But when it was happening, I was like, 402 00:21:20,480 --> 00:21:22,520 Speaker 1: it was easy for me to judge, right, and that 403 00:21:22,800 --> 00:21:25,119 Speaker 1: is that exact same thing I was talking about. I 404 00:21:25,119 --> 00:21:26,879 Speaker 1: was like, where I'm not immune to this kind of bias. 405 00:21:27,000 --> 00:21:31,199 Speaker 1: I'm like, I'm a person that reads the literature and 406 00:21:31,240 --> 00:21:33,800 Speaker 1: figures this stuff out. And so even if you read 407 00:21:33,840 --> 00:21:36,200 Speaker 1: your text, it says you won't know the day or time, 408 00:21:36,440 --> 00:21:38,000 Speaker 1: the day or the hour. So if somebody knows the 409 00:21:38,040 --> 00:21:41,000 Speaker 1: day or the hour, then they're not the person that 410 00:21:41,040 --> 00:21:42,040 Speaker 1: aligns with this text. 411 00:21:42,160 --> 00:21:43,920 Speaker 2: Obvious. It says it in the user manual. 412 00:21:44,119 --> 00:21:47,480 Speaker 1: And I'm like, girl, get off your high horse, right right. 413 00:21:47,600 --> 00:21:50,640 Speaker 1: Think about how people may be feeling. Think about how 414 00:21:50,680 --> 00:21:53,960 Speaker 1: overwhelmed people are because of the state of the world, yes, yes, 415 00:21:54,040 --> 00:21:55,960 Speaker 1: because of the state of the world, and how excited 416 00:21:56,080 --> 00:21:59,080 Speaker 1: you might be about the relief of being in a 417 00:21:59,119 --> 00:22:02,000 Speaker 1: better place. Happen to worry about all of these things, 418 00:22:02,080 --> 00:22:04,400 Speaker 1: And I just think one of the things I've been 419 00:22:04,440 --> 00:22:08,760 Speaker 1: asking myself is how to meet these moments when I 420 00:22:08,800 --> 00:22:10,800 Speaker 1: see these things and I'm like, well, that obviously doesn't 421 00:22:10,800 --> 00:22:12,920 Speaker 1: make sense, and I'm you know, turning into Caddie Zakiyah. 422 00:22:13,160 --> 00:22:15,920 Speaker 1: How do I meet those moments with some more compassion 423 00:22:15,960 --> 00:22:17,800 Speaker 1: because I know there are plenty of people looking at 424 00:22:17,840 --> 00:22:20,000 Speaker 1: the things that I believe and say and do and 425 00:22:20,040 --> 00:22:23,240 Speaker 1: are saying, girl, it's not lining up, it's not adding up. 426 00:22:23,640 --> 00:22:27,320 Speaker 1: And so this show working with you us talking to 427 00:22:27,440 --> 00:22:30,400 Speaker 1: experts and being exposed to this information, I'm like, try, 428 00:22:30,480 --> 00:22:35,000 Speaker 1: I try to infuse it in my mock patterns when 429 00:22:35,040 --> 00:22:38,520 Speaker 1: I am reading information interacting with people all of that. 430 00:22:39,720 --> 00:22:41,600 Speaker 1: It's so true, and I think that's a great place 431 00:22:41,680 --> 00:22:45,560 Speaker 1: for us to land, you know, where it's like understanding 432 00:22:45,720 --> 00:22:49,000 Speaker 1: each other in the grander sense, like everywhere all around 433 00:22:49,000 --> 00:22:52,760 Speaker 1: the world, that we all are in search of belonging, 434 00:22:53,160 --> 00:22:57,639 Speaker 1: and we're all in search of happiness, and that in 435 00:22:57,680 --> 00:23:00,280 Speaker 1: pursuit of that, we might, you know, try and get 436 00:23:00,280 --> 00:23:03,840 Speaker 1: some shortcuts to happiness and belonging and fall for some 437 00:23:03,920 --> 00:23:08,000 Speaker 1: biases that might not necessarily be true, but you know, 438 00:23:08,080 --> 00:23:10,439 Speaker 1: sometimes it's just propaganda that you're just gonna fall for. 439 00:23:10,480 --> 00:23:13,840 Speaker 1: And it's okay, mm hm, you gotta you gotta fall 440 00:23:13,880 --> 00:23:14,560 Speaker 1: for something. 441 00:23:15,840 --> 00:23:18,600 Speaker 2: Because we're all gonna do it. Yes, Yeah, It's. 442 00:23:18,440 --> 00:23:21,240 Speaker 1: Just part of living. That's how these human brains are wired. 443 00:23:21,320 --> 00:23:23,399 Speaker 1: And so I'm like, hey, you mad at this person 444 00:23:23,440 --> 00:23:27,160 Speaker 1: for being human? And that's the real that's the real 445 00:23:27,240 --> 00:23:29,040 Speaker 1: question I have to ask myself. This reminds me of 446 00:23:29,080 --> 00:23:33,120 Speaker 1: doctor Harrison just a few weeks ago saying the ultimate 447 00:23:34,600 --> 00:23:37,320 Speaker 1: show of humanity is compassion. And so I've been trying 448 00:23:37,320 --> 00:23:39,560 Speaker 1: to carry that put in my pocket a little nugget. 449 00:23:39,680 --> 00:23:41,359 Speaker 2: Yes, yes, I love that. 450 00:23:50,320 --> 00:23:53,200 Speaker 1: You can find us on X and Instagram at Dope 451 00:23:53,280 --> 00:23:56,480 Speaker 1: Labs podcast, TT is on X and Instagram at d 452 00:23:56,720 --> 00:23:58,399 Speaker 1: R Underscore T s h O. 453 00:23:58,640 --> 00:24:01,880 Speaker 2: And you can find Takiya at Ze said so. Dope 454 00:24:01,960 --> 00:24:03,160 Speaker 2: Labs is a production. 455 00:24:02,840 --> 00:24:06,600 Speaker 1: Of Lemonada Media. Our supervising producer is Keegan Zimma and 456 00:24:06,640 --> 00:24:11,080 Speaker 1: our producer is Issara Acevez. Dope Labs is sound designed, 457 00:24:11,280 --> 00:24:15,640 Speaker 1: edited and mixed by James farber Lamanada Media's Vice President 458 00:24:15,640 --> 00:24:19,920 Speaker 1: of Partnerships and Production is Jackie Danziger. Executive producer from 459 00:24:19,960 --> 00:24:21,960 Speaker 1: iHeart podcast is Katrina Norvil. 460 00:24:22,359 --> 00:24:24,040 Speaker 2: Marketing lead is Alison Canter. 461 00:24:24,800 --> 00:24:29,040 Speaker 1: Original music composed and produced by Taka Yasuzawa and Alex 462 00:24:29,080 --> 00:24:30,520 Speaker 1: sugi Ura. 463 00:24:30,160 --> 00:24:32,639 Speaker 2: With additional music by Elijah Harvey. 464 00:24:33,480 --> 00:24:36,920 Speaker 1: Dope Labs is executive produced by US T T Show 465 00:24:36,960 --> 00:24:38,479 Speaker 1: Dia and Zakiah Wattlei.