1 00:00:03,480 --> 00:00:05,560 Speaker 1: It's the Happy Families podcast. 2 00:00:05,920 --> 00:00:10,119 Speaker 2: It's the podcast for the time poor parent who just answers, 3 00:00:10,200 --> 00:00:12,760 Speaker 2: now what actually happens here? Is that a name, in 4 00:00:12,840 --> 00:00:16,119 Speaker 2: some ways sends a signal to society about who you 5 00:00:16,200 --> 00:00:18,079 Speaker 2: are and where you're from. 6 00:00:18,400 --> 00:00:21,160 Speaker 3: And now here's the stars of our show. 7 00:00:21,239 --> 00:00:23,319 Speaker 2: My mom and dad. Now and then we record a 8 00:00:23,320 --> 00:00:25,680 Speaker 2: podcast episode that makes me nervous. It makes me wonder, 9 00:00:26,079 --> 00:00:28,560 Speaker 2: is this a good idea? Should we do this? Missus 10 00:00:28,560 --> 00:00:31,000 Speaker 2: Happy Families. I'm not even going to introduce the topic yet. 11 00:00:31,000 --> 00:00:32,880 Speaker 2: I just want to know, have we made a mistake 12 00:00:33,040 --> 00:00:35,480 Speaker 2: before we even begin or is this going to be okay? 13 00:00:35,800 --> 00:00:37,879 Speaker 2: Or I hope not? You hope not. Well, you hope 14 00:00:37,920 --> 00:00:40,080 Speaker 2: it's not going to be okay? Is that you know? 15 00:00:40,159 --> 00:00:42,720 Speaker 3: I hope that it's not a mistake. I hope it's okay. 16 00:00:42,840 --> 00:00:46,040 Speaker 2: I'm really nervous about this one. Here we go, ladies 17 00:00:46,040 --> 00:00:49,400 Speaker 2: and gentlemen. I'm justin here with Kylie, my wife and 18 00:00:49,640 --> 00:00:52,479 Speaker 2: mum to our six kids. I run Happy Families dot 19 00:00:52,560 --> 00:00:54,480 Speaker 2: com dot a you. But but before I tell you 20 00:00:54,520 --> 00:00:56,160 Speaker 2: what the topic is, I want to let you know 21 00:00:56,200 --> 00:00:59,200 Speaker 2: that there is science. There is science behind what we're 22 00:00:59,200 --> 00:01:01,880 Speaker 2: going to talk about, and it's good science. And I 23 00:01:01,920 --> 00:01:04,480 Speaker 2: also need to highlight that we're not doing this podcast 24 00:01:04,600 --> 00:01:08,479 Speaker 2: to shame anyone, Kylie. We have the very very very 25 00:01:08,480 --> 00:01:12,000 Speaker 2: best of intentions. Correct, correct, but we are going to 26 00:01:12,080 --> 00:01:13,760 Speaker 2: laugh and make fun of people in spite of it. 27 00:01:15,520 --> 00:01:17,440 Speaker 2: I can't believe that we're doing this all right. So 28 00:01:17,959 --> 00:01:20,319 Speaker 2: here it is. Just in the last few days, there's 29 00:01:20,319 --> 00:01:23,640 Speaker 2: been a news article that has landed on news dot 30 00:01:23,640 --> 00:01:28,200 Speaker 2: com dot a U, Australia's apparently number one news website, 31 00:01:28,240 --> 00:01:30,000 Speaker 2: although most of the time I wonder if it is 32 00:01:30,040 --> 00:01:34,040 Speaker 2: actually news on that website. Kylie introduces to the topic, 33 00:01:34,240 --> 00:01:38,240 Speaker 2: I don't even know if I want you. I'm I'm 34 00:01:38,280 --> 00:01:42,080 Speaker 2: throwing you under the bus, totally sure. I just I 35 00:01:42,120 --> 00:01:44,400 Speaker 2: want to be associated only with the science side of this. 36 00:01:44,480 --> 00:01:45,080 Speaker 2: I'm sure of it. 37 00:01:48,320 --> 00:01:53,200 Speaker 3: So the article is titled Australia's most Bogan baby Names 38 00:01:53,280 --> 00:01:54,880 Speaker 3: for twenty twenty two. 39 00:01:55,840 --> 00:01:57,640 Speaker 2: Yeah, so what we're really going to do here is 40 00:01:57,680 --> 00:02:00,160 Speaker 2: we're going to highlight that people are coming up with 41 00:02:00,240 --> 00:02:05,360 Speaker 2: some names that we might consider creative. Yeah, creative is 42 00:02:05,400 --> 00:02:07,280 Speaker 2: better than what I was going to say. Some creative 43 00:02:07,600 --> 00:02:09,600 Speaker 2: baby names, and we're going to share some of them 44 00:02:09,600 --> 00:02:11,320 Speaker 2: with you and then talk about whether it's a good 45 00:02:11,360 --> 00:02:14,560 Speaker 2: or a bad idea to give your kids names that 46 00:02:15,320 --> 00:02:17,040 Speaker 2: end up on news dot com dot au. 47 00:02:17,919 --> 00:02:20,600 Speaker 3: You know, it's funny. I've been reading a book lately, 48 00:02:20,639 --> 00:02:23,520 Speaker 3: it's actually off your book case, called The End of 49 00:02:23,639 --> 00:02:25,040 Speaker 3: Average by Todd Rose. 50 00:02:25,200 --> 00:02:26,840 Speaker 2: I love this book. It's one of my favorite books 51 00:02:26,880 --> 00:02:27,360 Speaker 2: of all time. 52 00:02:27,760 --> 00:02:31,600 Speaker 3: It's funny we're talking about, you know this, these creative 53 00:02:31,800 --> 00:02:39,000 Speaker 3: ways that parents strive to create individuality for their children. 54 00:02:39,200 --> 00:02:39,280 Speaker 1: Ye. 55 00:02:40,040 --> 00:02:44,320 Speaker 3: And it's almost like this desire to make sure that 56 00:02:44,400 --> 00:02:47,720 Speaker 3: their child stands out that they don't, you know, kind 57 00:02:47,720 --> 00:02:52,760 Speaker 3: of fall into what we would consider the average name. 58 00:02:53,200 --> 00:02:54,919 Speaker 2: So I'm going to I'm going to speak personally here, 59 00:02:54,960 --> 00:02:56,880 Speaker 2: and I hope it doesn't come back to bite me. 60 00:02:57,120 --> 00:03:00,400 Speaker 2: I love my brother and his wife and their kids 61 00:03:00,520 --> 00:03:03,320 Speaker 2: just gorgeous. But Tim my brother, who's a famous photographer, 62 00:03:03,400 --> 00:03:04,480 Speaker 2: or he used to be, at least I don't know 63 00:03:04,520 --> 00:03:06,799 Speaker 2: what he's doing with that anymore, but really well known 64 00:03:06,840 --> 00:03:08,919 Speaker 2: for his photography. And he and Cash are both really 65 00:03:08,960 --> 00:03:13,120 Speaker 2: creative types. They love the process of creation. They're always 66 00:03:13,120 --> 00:03:15,720 Speaker 2: thinking about being creative. And when it came to their kids' names, 67 00:03:15,760 --> 00:03:19,560 Speaker 2: they wanted intentionally, they wanted to give their kids names 68 00:03:19,560 --> 00:03:23,360 Speaker 2: that were standout names that were unique names. Now, they 69 00:03:23,360 --> 00:03:26,280 Speaker 2: would never make a list of Bogan baby names for 70 00:03:26,320 --> 00:03:30,000 Speaker 2: twenty twenty two, but they're really unique. My sister's down the. 71 00:03:29,919 --> 00:03:32,960 Speaker 3: Same with her kids. They are really different names. And 72 00:03:33,040 --> 00:03:36,320 Speaker 3: I know. I remember each time she was pregnant and 73 00:03:36,440 --> 00:03:39,360 Speaker 3: we'd kind of asked her what she was thinking for 74 00:03:39,440 --> 00:03:42,600 Speaker 3: a name. She literally got to a point after baby 75 00:03:42,760 --> 00:03:45,200 Speaker 3: number two, I think where she just said, I'm not 76 00:03:45,240 --> 00:03:47,400 Speaker 3: telling you. She said, because once you meet the baby 77 00:03:47,440 --> 00:03:48,760 Speaker 3: and I tell you what its name is, you'll love 78 00:03:48,760 --> 00:03:52,080 Speaker 3: it anyway. But while ever, it's just a blip in 79 00:03:52,120 --> 00:03:55,320 Speaker 3: my belly. Yeah, and it's just a name on a page. 80 00:03:55,400 --> 00:03:56,440 Speaker 3: She said, you're gonna hate it. 81 00:03:56,480 --> 00:03:57,200 Speaker 2: I just know you are. 82 00:03:58,000 --> 00:04:00,480 Speaker 3: She's been very deliberate. I've got other friends who've been 83 00:04:00,600 --> 00:04:06,320 Speaker 3: very specific about using unisex names so that their children 84 00:04:06,440 --> 00:04:11,320 Speaker 3: aren't identifiable as male or female based on their name. 85 00:04:11,520 --> 00:04:14,240 Speaker 2: Yeah. Yeah, really interesting. And here I was. I thought 86 00:04:14,240 --> 00:04:15,960 Speaker 2: that we were coming up with really great names for 87 00:04:16,040 --> 00:04:17,520 Speaker 2: our kids. I mean, it was kind of hard to 88 00:04:17,520 --> 00:04:21,520 Speaker 2: come up with six girls names. But Chanelle, we thought 89 00:04:21,560 --> 00:04:24,040 Speaker 2: that was unusual. And there's not a lot of Chanel's around. 90 00:04:24,520 --> 00:04:27,800 Speaker 2: But I remember when we had channels though that we 91 00:04:27,839 --> 00:04:30,440 Speaker 2: got to number three and I wanted to go kind 92 00:04:30,480 --> 00:04:32,960 Speaker 2: of a little bit old school, and I remember we 93 00:04:33,000 --> 00:04:35,960 Speaker 2: talked about it and we both agreed that Ella Ella 94 00:04:36,279 --> 00:04:39,000 Speaker 2: Rose would be great. And there were hardly any Ellas 95 00:04:39,040 --> 00:04:42,440 Speaker 2: around at the time, and now every grade level that 96 00:04:42,440 --> 00:04:44,240 Speaker 2: she's been in, she's been with at least two or three, 97 00:04:44,320 --> 00:04:48,320 Speaker 2: maybe four or five other Elas like are everywhere. And 98 00:04:48,680 --> 00:04:51,520 Speaker 2: all of our kids' names ended up being pretty middle 99 00:04:51,520 --> 00:04:54,800 Speaker 2: of the road, pretty average, pretty standard girls' names. So, 100 00:04:55,600 --> 00:04:58,560 Speaker 2: now that we've prolonged the agony, if you've called your 101 00:04:58,640 --> 00:05:01,120 Speaker 2: children any of the following names, we're not saying you're 102 00:05:01,120 --> 00:05:03,520 Speaker 2: a bogan. We're not saying that you've done anything wrong. 103 00:05:03,760 --> 00:05:06,400 Speaker 2: We're not shaming you. What we're doing is we're saying 104 00:05:06,400 --> 00:05:09,200 Speaker 2: that news dot com, dot you is shaming you. News 105 00:05:09,200 --> 00:05:11,000 Speaker 2: dot com, dot you has decided that they want to 106 00:05:11,000 --> 00:05:12,920 Speaker 2: pick on you, and we're just we're just reporting what 107 00:05:13,040 --> 00:05:15,240 Speaker 2: was in the paper, which is reporting what was in 108 00:05:15,240 --> 00:05:19,000 Speaker 2: the news article. Kylie, why don't you kick us off? 109 00:05:19,000 --> 00:05:20,880 Speaker 2: What were the girls the best? 110 00:05:20,960 --> 00:05:22,160 Speaker 3: I don't even know if I'm going to be able 111 00:05:22,160 --> 00:05:27,119 Speaker 3: to pronounce some of these names. We've got Mavery, which 112 00:05:27,160 --> 00:05:35,080 Speaker 3: is Mayve plus avery makes mavery huh. Yeah, We've got Kre. 113 00:05:35,279 --> 00:05:38,479 Speaker 3: I'm gonna say Kyre. It's supposed to be. It's supposed 114 00:05:38,480 --> 00:05:45,160 Speaker 3: to be like Dior as in Christian Door. We've got Cardi. 115 00:05:45,800 --> 00:05:49,080 Speaker 2: Yeah, well well Cardi Cardi b right, but that's short 116 00:05:49,080 --> 00:05:50,920 Speaker 2: for a CARDI. Throw on a K for a bit 117 00:05:50,960 --> 00:05:53,280 Speaker 2: of random spelling there, just because if you're going to 118 00:05:53,320 --> 00:05:56,000 Speaker 2: go bogan, you've got to change the spelling up as well. Uh, 119 00:05:56,800 --> 00:05:58,279 Speaker 2: what else have we got any other girls names that 120 00:05:58,320 --> 00:06:06,200 Speaker 2: really struck you? Brexley Brexley, like we're having brexit? How 121 00:06:06,200 --> 00:06:08,520 Speaker 2: do you spell Brexley? Is that b r E b 122 00:06:08,640 --> 00:06:12,640 Speaker 2: r e c k brickle b r e x it's 123 00:06:12,680 --> 00:06:15,960 Speaker 2: got an x in it l e I G h 124 00:06:16,000 --> 00:06:18,640 Speaker 2: oh wow. Well so, so I believe that the the 125 00:06:19,040 --> 00:06:21,359 Speaker 2: V or the lee or the whatever sound is is 126 00:06:21,440 --> 00:06:23,680 Speaker 2: right in so I also saw that there was OBC. 127 00:06:23,960 --> 00:06:25,520 Speaker 2: The one that concerned me the most was the one 128 00:06:25,560 --> 00:06:28,840 Speaker 2: that's been named after the vape brand Jewel j u 129 00:06:29,080 --> 00:06:32,479 Speaker 2: u l so originally a Dutch name, but Jewel is 130 00:06:32,560 --> 00:06:35,960 Speaker 2: now a vape brand, and like that that does sound 131 00:06:36,000 --> 00:06:37,960 Speaker 2: kind of bogun, right if you're gonna if you're gonna 132 00:06:38,000 --> 00:06:41,240 Speaker 2: name it after a vape. Is that is that going 133 00:06:41,279 --> 00:06:42,559 Speaker 2: too far? What do you reckon? 134 00:06:44,000 --> 00:06:46,800 Speaker 3: Look, I'm just I'm scrolling its four. 135 00:06:47,160 --> 00:06:48,920 Speaker 2: I actually like that name, by the way, Jewel, but 136 00:06:49,040 --> 00:06:50,840 Speaker 2: just knowing that it's named after the vape brand kind 137 00:06:50,880 --> 00:06:52,320 Speaker 2: of diminishes it in my in my. 138 00:06:53,279 --> 00:06:54,240 Speaker 3: Just spell it differently. 139 00:06:55,040 --> 00:06:59,200 Speaker 2: Yeah, like Jewel Duwel Kilcher. You were meant for me Jewel? 140 00:06:59,320 --> 00:07:01,760 Speaker 2: You know the you remember the Folks singer from way back. 141 00:07:01,800 --> 00:07:04,040 Speaker 3: I remember a few years ago when we were we 142 00:07:04,279 --> 00:07:06,800 Speaker 3: were having babies at that point, and there was, you know, 143 00:07:06,920 --> 00:07:11,400 Speaker 3: a trend to kind of use nature as inspiration for 144 00:07:11,600 --> 00:07:14,680 Speaker 3: baby names. And we had a friend called their child river, 145 00:07:14,880 --> 00:07:18,800 Speaker 3: and another one called the Haven, and another one called 146 00:07:18,840 --> 00:07:20,160 Speaker 3: them summer and winter. 147 00:07:20,280 --> 00:07:22,640 Speaker 2: We had an autumn we know, someone called snow. 148 00:07:23,720 --> 00:07:27,600 Speaker 3: Yeah. And I'm just looking at this list and they've 149 00:07:27,600 --> 00:07:29,280 Speaker 3: definitely taken the next step. 150 00:07:30,000 --> 00:07:32,960 Speaker 2: They like they've done the next step. 151 00:07:33,680 --> 00:07:34,400 Speaker 3: There's salmon. 152 00:07:35,160 --> 00:07:37,080 Speaker 2: Oh wow, wow? Is that for a girl or a boy? 153 00:07:37,680 --> 00:07:38,200 Speaker 3: I don't know. 154 00:07:38,360 --> 00:07:39,960 Speaker 2: I don't know if I could call my child salmon. 155 00:07:40,000 --> 00:07:44,320 Speaker 2: I just although sometimes my kids are so scrumptious I 156 00:07:44,360 --> 00:07:46,400 Speaker 2: could eat them, but I don't think i'd call them. 157 00:07:46,400 --> 00:07:49,120 Speaker 2: Someon here are my favorite boys' names already, We've got brave. 158 00:07:49,520 --> 00:07:54,520 Speaker 2: There's Draxler, d R A x L E R Cashton, 159 00:07:54,640 --> 00:07:58,480 Speaker 2: Knoxley Knox as in K and O X Knoxley. I 160 00:07:58,560 --> 00:08:02,000 Speaker 2: actually like that. You're so bogan. I can't believe how 161 00:08:02,000 --> 00:08:05,600 Speaker 2: bogan you are, missus Happy Families. What about this one legend? 162 00:08:05,800 --> 00:08:08,200 Speaker 2: So it's like legend, but the d is halfway through 163 00:08:08,240 --> 00:08:10,840 Speaker 2: the word instead of at the end led gin instead 164 00:08:10,840 --> 00:08:15,160 Speaker 2: of legendo. Oh, the two that got my the two 165 00:08:15,200 --> 00:08:19,680 Speaker 2: that really got me going raw raw ro a r raw. 166 00:08:20,120 --> 00:08:22,360 Speaker 2: The next one, Yeah, what's the last one? 167 00:08:22,920 --> 00:08:23,160 Speaker 3: Zinc? 168 00:08:23,400 --> 00:08:27,520 Speaker 2: Yeah, yep, zinc. Let's call our kids zinc. Anyway, we 169 00:08:27,600 --> 00:08:29,760 Speaker 2: have now done the shaming thing. There is actually some 170 00:08:29,800 --> 00:08:33,760 Speaker 2: science around having an unusual name and what that does 171 00:08:34,080 --> 00:08:38,360 Speaker 2: to your child's chances of success in life. I'm going 172 00:08:38,360 --> 00:08:40,320 Speaker 2: to have a look at that. Next, it's the Happy 173 00:08:40,360 --> 00:08:41,520 Speaker 2: Families podcast. 174 00:08:42,040 --> 00:08:45,320 Speaker 1: Imagine a home where discipline got results without anyone having 175 00:08:45,360 --> 00:08:47,720 Speaker 1: to feel bad or in trouble. The do's and don'ts 176 00:08:47,720 --> 00:08:50,360 Speaker 1: of Disciplined is a webinar to help parents set limits 177 00:08:50,360 --> 00:08:54,000 Speaker 1: with love, compassion, and humanity. Find it now at Happy 178 00:08:54,080 --> 00:08:56,640 Speaker 1: families dot com dot au slash shop. 179 00:08:57,480 --> 00:08:59,720 Speaker 3: It's the Happy Families podcast, the podcast for the time 180 00:09:00,200 --> 00:09:03,440 Speaker 3: parent who just wants answers. Now, tell me, doctor Justin, 181 00:09:03,480 --> 00:09:07,720 Speaker 3: what is the science behind giving your children unusual names? 182 00:09:07,760 --> 00:09:10,040 Speaker 2: I kind of feel like we've just defended the entire 183 00:09:10,480 --> 00:09:14,560 Speaker 2: the entire planet today in this podcast. But anyway, here's 184 00:09:14,600 --> 00:09:17,440 Speaker 2: what we know from research. First of all, you spend 185 00:09:17,480 --> 00:09:19,360 Speaker 2: forever trying to figure this out, right, I mean, just 186 00:09:19,840 --> 00:09:23,760 Speaker 2: figuring it out is so so difficult. But early studies 187 00:09:23,760 --> 00:09:29,760 Speaker 2: have found that men with uncommon first names more likely 188 00:09:29,840 --> 00:09:33,280 Speaker 2: to drop out of school and more likely to be 189 00:09:33,320 --> 00:09:36,880 Speaker 2: lonely later in life. And one study found that psychiatric 190 00:09:36,960 --> 00:09:41,280 Speaker 2: patients who had more unusual names tended to be more disturbed. 191 00:09:41,840 --> 00:09:45,440 Speaker 2: Here's what else I can tell you. Research evidence tells 192 00:09:45,520 --> 00:09:48,880 Speaker 2: us that different names are popular among different social classes, 193 00:09:49,880 --> 00:09:52,959 Speaker 2: and it's the different social classes that have different opportunities 194 00:09:52,960 --> 00:09:56,080 Speaker 2: and goals. So there's been some research in the UK, 195 00:09:56,240 --> 00:09:58,839 Speaker 2: there's been some research in the United States. What actually 196 00:09:58,920 --> 00:10:01,840 Speaker 2: happens here is that a in some ways sends a 197 00:10:01,920 --> 00:10:06,120 Speaker 2: signal to society about who you are and where you're from. Now, 198 00:10:06,160 --> 00:10:10,040 Speaker 2: this really does run the risk from a political point 199 00:10:10,040 --> 00:10:11,959 Speaker 2: of view, of putting us in a situation where we're 200 00:10:11,960 --> 00:10:14,959 Speaker 2: actually pre judging people, and it's a horrible thing to say, 201 00:10:15,280 --> 00:10:17,160 Speaker 2: so I want to be really gentle when I say this. 202 00:10:17,679 --> 00:10:19,720 Speaker 2: When we look at the data though, and this is 203 00:10:20,080 --> 00:10:22,520 Speaker 2: some research from a study in two thousand and three. 204 00:10:23,280 --> 00:10:26,480 Speaker 2: The study was called are Emily and Greg more employable 205 00:10:26,840 --> 00:10:30,440 Speaker 2: than Lakeisha and Jamal? So the two researchers their names 206 00:10:30,440 --> 00:10:34,000 Speaker 2: were Mary Anne Bertrand and Send Hill. I can't actually 207 00:10:34,040 --> 00:10:37,200 Speaker 2: pronounce this research's surname, but I'm going to try Melay Nathan. 208 00:10:38,000 --> 00:10:41,480 Speaker 2: They sent nearly five thousand cvs in response to job 209 00:10:41,520 --> 00:10:45,959 Speaker 2: advertisements in Chicago and Boston newspapers. Cvs are exactly the same, 210 00:10:46,640 --> 00:10:48,839 Speaker 2: but half well given fake names. It sounded like they 211 00:10:48,920 --> 00:10:51,840 Speaker 2: belonged to white people like Emily Walsh or Greg Baker, 212 00:10:52,280 --> 00:10:54,520 Speaker 2: and the other half were given names that sounded African American, 213 00:10:54,559 --> 00:10:58,199 Speaker 2: like Lakeisha Washington or Jamal Jones. And the callback rate 214 00:10:58,200 --> 00:11:02,080 Speaker 2: from employers was fifty percent higher on the white names 215 00:11:02,720 --> 00:11:05,640 Speaker 2: than the black names. And this was even found with 216 00:11:06,360 --> 00:11:09,439 Speaker 2: federal contractors that have got affirmative action policies and companies 217 00:11:09,440 --> 00:11:13,440 Speaker 2: that said they were equal opportunity employers. If we move 218 00:11:13,480 --> 00:11:17,480 Speaker 2: even further into this little area of it's a quagmire 219 00:11:17,640 --> 00:11:20,840 Speaker 2: really in terms of the prejudice and the things that 220 00:11:20,840 --> 00:11:24,240 Speaker 2: it can stir up. David Figlio as a researcher at 221 00:11:24,320 --> 00:11:26,640 Speaker 2: Northwestern University, and he had a look at the scores 222 00:11:26,679 --> 00:11:30,600 Speaker 2: of fifty five thousand children in a school district of Florida, 223 00:11:31,360 --> 00:11:35,439 Speaker 2: and instead of just distinguishing between white and black names, 224 00:11:36,080 --> 00:11:38,880 Speaker 2: he codified what aspects of names meant that they were 225 00:11:38,920 --> 00:11:40,760 Speaker 2: more likely to belong to black children and children from 226 00:11:40,760 --> 00:11:43,760 Speaker 2: low income families. So we was able to create this 227 00:11:43,840 --> 00:11:47,559 Speaker 2: sliding scale which went, for example, from Drew to Dwayne 228 00:11:47,960 --> 00:11:51,760 Speaker 2: to DeMarcus to da Quan. And so you can see 229 00:11:51,760 --> 00:11:54,080 Speaker 2: how you're on this scale of these names beginning with 230 00:11:54,160 --> 00:11:59,080 Speaker 2: d and they're getting increasingly unusual, increasingly unique, and also 231 00:11:59,200 --> 00:12:02,599 Speaker 2: increasingly likely to belong to a certain social class or 232 00:12:02,600 --> 00:12:06,120 Speaker 2: a certain racial background, or whatever it might be. And 233 00:12:06,200 --> 00:12:09,080 Speaker 2: what David Figlio found with this big study was that 234 00:12:09,120 --> 00:12:11,800 Speaker 2: the further along the scale he went, the worse the 235 00:12:11,840 --> 00:12:14,160 Speaker 2: school test scores were, the less likely the student was 236 00:12:14,160 --> 00:12:16,520 Speaker 2: to be recommended for the school's program for gifted students. 237 00:12:16,880 --> 00:12:19,280 Speaker 2: And in a separate study, he used the same data 238 00:12:19,559 --> 00:12:23,400 Speaker 2: to show that African American boys who were given names 239 00:12:23,440 --> 00:12:26,800 Speaker 2: more common among girls more likely to develop behavioral problems 240 00:12:26,800 --> 00:12:31,040 Speaker 2: when they reach puberty, and those problems increase significantly when 241 00:12:31,080 --> 00:12:32,560 Speaker 2: there are girls in the same year group with the 242 00:12:32,559 --> 00:12:37,480 Speaker 2: same name. So we can't say for sure that a 243 00:12:37,640 --> 00:12:42,400 Speaker 2: name is going to highlight a person's chance or otherwise 244 00:12:42,400 --> 00:12:44,680 Speaker 2: for success in life. And a lot of this stuff 245 00:12:44,760 --> 00:12:48,520 Speaker 2: is mixed up with race, particularly the American research and 246 00:12:48,559 --> 00:12:50,960 Speaker 2: also a little bit in the UK. But what all 247 00:12:51,000 --> 00:12:53,120 Speaker 2: of the research shows, Kylie, is that when you give 248 00:12:53,160 --> 00:12:58,720 Speaker 2: your kids unique, novel, creative names, it absolutely sets them apart. 249 00:12:59,240 --> 00:13:02,760 Speaker 2: And the overwhelming majority of the evidence over the last 250 00:13:02,960 --> 00:13:06,120 Speaker 2: twenty or thirty years is that it sets them apart 251 00:13:06,120 --> 00:13:10,800 Speaker 2: in ways that we probably wouldn't be pleased about. 252 00:13:11,120 --> 00:13:14,640 Speaker 3: When my friend was naming her daughters, she made sure 253 00:13:14,679 --> 00:13:17,680 Speaker 3: that they had a unisex name because of that very reason. 254 00:13:17,800 --> 00:13:20,360 Speaker 3: She didn't want them to be putting their resume in 255 00:13:20,559 --> 00:13:24,840 Speaker 3: and being judged on their capacity based on their gender. 256 00:13:25,160 --> 00:13:26,439 Speaker 2: Yeah. Yeah, And it's. 257 00:13:26,280 --> 00:13:32,960 Speaker 3: Interesting just how powerful and impression our names have without 258 00:13:33,000 --> 00:13:34,880 Speaker 3: anybody knowing even who we are. 259 00:13:35,640 --> 00:13:37,559 Speaker 2: So the moral of the story to take home message, 260 00:13:37,720 --> 00:13:39,240 Speaker 2: We're not going to tell you what to name your kids. 261 00:13:39,280 --> 00:13:40,960 Speaker 2: That would be an appropriate but I think that it's 262 00:13:41,160 --> 00:13:43,960 Speaker 2: really relevant that we just pause and think, if children 263 00:13:43,960 --> 00:13:45,880 Speaker 2: are coming into the world, how do we want them 264 00:13:45,880 --> 00:13:47,720 Speaker 2: to be seen by the world, Because they will be 265 00:13:47,880 --> 00:13:51,920 Speaker 2: seen a certain way. The wrong name can, unfortunately, even 266 00:13:51,960 --> 00:13:54,360 Speaker 2: in twenty twenty two, can lead to kids being bullied 267 00:13:54,720 --> 00:13:58,160 Speaker 2: and potentially missing out on opportunities, whether it's a work opportunity, 268 00:13:58,200 --> 00:14:02,440 Speaker 2: a school opportunity, or otherwise. Hey, Kylie, great conversation. Thanks 269 00:14:02,440 --> 00:14:04,480 Speaker 2: for finding that article and sharing the Bogan names. I'm 270 00:14:04,520 --> 00:14:05,480 Speaker 2: glad we were able to have a bit of a 271 00:14:05,520 --> 00:14:06,840 Speaker 2: laugh about it, but like I said, there is a 272 00:14:06,840 --> 00:14:08,160 Speaker 2: bit of a serious side to it, and I think 273 00:14:08,160 --> 00:14:10,680 Speaker 2: that it's worth spending time on that. The Happy Families 274 00:14:10,720 --> 00:14:13,440 Speaker 2: podcast is produced by Justin Ruland from Bridge Media. Craig 275 00:14:13,440 --> 00:14:16,560 Speaker 2: Bruce is our executive producer. We are really excited to 276 00:14:16,559 --> 00:14:19,400 Speaker 2: tell you that on the twenty fourth of March, can 277 00:14:19,440 --> 00:14:21,640 Speaker 2: we please talk about our boys. It's a free webinar, 278 00:14:21,800 --> 00:14:24,920 Speaker 2: Free free webinar twenty fourth of March to help you 279 00:14:25,040 --> 00:14:29,760 Speaker 2: to navigate the challenges of raising boys in what can 280 00:14:29,800 --> 00:14:33,920 Speaker 2: be a very difficult place for our boys all too often. 281 00:14:34,080 --> 00:14:35,840 Speaker 2: That's the twenty fourth of March free webinar. All the 282 00:14:35,880 --> 00:14:38,560 Speaker 2: details at our Facebook page, doctor Justin Colson's Happy Families, 283 00:14:38,640 --> 00:14:40,520 Speaker 2: or online at happy families dot com, dot a