1 00:00:00,840 --> 00:00:04,320 Speaker 1: Native Land Pod is a production of iHeartRadio in partnership 2 00:00:04,360 --> 00:00:06,000 Speaker 1: with Reason Choice Media. 3 00:00:06,200 --> 00:00:09,360 Speaker 2: Welcome, Welcome, Welcome, Welcome, Welcome, Welcome. 4 00:00:09,600 --> 00:00:10,280 Speaker 3: Hey listeners. 5 00:00:10,320 --> 00:00:12,760 Speaker 4: This episode is a replay of one of our interviews 6 00:00:12,760 --> 00:00:15,840 Speaker 4: from our live stream at the Congressional Black Caucus Foundation's 7 00:00:15,840 --> 00:00:18,560 Speaker 4: Annual Legislative Conference. Now, if you want to listen to 8 00:00:18,720 --> 00:00:21,040 Speaker 4: or watch the full stream, definitely be sure to check 9 00:00:21,040 --> 00:00:23,400 Speaker 4: the links in the episode description, and you can also 10 00:00:23,520 --> 00:00:26,680 Speaker 4: find a full list of all the amazing guests we interviewed. 11 00:00:26,720 --> 00:00:27,680 Speaker 4: Welcome home, y'all. 12 00:00:28,800 --> 00:00:31,639 Speaker 5: We're a threat at this time to bring up a 13 00:00:31,800 --> 00:00:35,320 Speaker 5: very very special guest, Our good friend, Melanie Parker, who 14 00:00:35,479 --> 00:00:39,040 Speaker 5: is at Google and she is the chief diversity officer there, 15 00:00:39,080 --> 00:00:42,080 Speaker 5: is joining us to talk about this very very special 16 00:00:42,120 --> 00:00:44,040 Speaker 5: occasion and some of the great things. 17 00:00:43,840 --> 00:00:45,600 Speaker 1: They have going on to make an impact in the 18 00:00:45,640 --> 00:00:46,680 Speaker 1: community at Google. 19 00:00:46,760 --> 00:00:50,960 Speaker 2: Hi, Melody guy, Thank you, love, Thanks beautiful, thank you. 20 00:00:51,600 --> 00:00:53,400 Speaker 3: How are you feeling I'm feeling great. 21 00:00:53,440 --> 00:00:57,280 Speaker 2: I'm excited about tonight, excited about all the black excellence 22 00:00:57,320 --> 00:00:58,160 Speaker 2: all around us. 23 00:00:58,160 --> 00:01:00,760 Speaker 3: So it's a great night. Yes, today, we're happy to 24 00:01:00,800 --> 00:01:01,120 Speaker 3: have you. 25 00:01:01,280 --> 00:01:04,000 Speaker 4: I think one thing, sorry, Andrew, a question I'll ask 26 00:01:04,000 --> 00:01:06,319 Speaker 4: you quickly. A lot of people. We hear a chief 27 00:01:06,319 --> 00:01:08,640 Speaker 4: diversity officer all the time, but I think so many 28 00:01:08,640 --> 00:01:11,559 Speaker 4: people out there don't always know exactly what a chief 29 00:01:11,600 --> 00:01:15,600 Speaker 4: diversity officer does. Tell us what your role is exactly 30 00:01:15,840 --> 00:01:16,840 Speaker 4: tangibly at Google. 31 00:01:17,200 --> 00:01:19,960 Speaker 2: So my role at Google one, I've been in my 32 00:01:20,080 --> 00:01:22,320 Speaker 2: role for five years, so I know there's a meme 33 00:01:22,360 --> 00:01:24,720 Speaker 2: out there five years I've been to my role at Google. 34 00:01:25,400 --> 00:01:31,200 Speaker 2: But what I do I look after Google's internal workforce, 35 00:01:32,240 --> 00:01:35,720 Speaker 2: and that is to make sure that people not just 36 00:01:35,720 --> 00:01:38,119 Speaker 2: feel like they belong, but feel that they can bring 37 00:01:38,200 --> 00:01:40,640 Speaker 2: all of who they are in the workplace. 38 00:01:40,920 --> 00:01:43,959 Speaker 3: And that's not just you know, heart and head. 39 00:01:44,319 --> 00:01:48,520 Speaker 2: That's really about I'm looking after how we're hiring, how 40 00:01:48,560 --> 00:01:53,120 Speaker 2: we're promoting, how we're providing developmental assignments. I'm looking at 41 00:01:53,160 --> 00:01:56,760 Speaker 2: who's leaving and are they leaving at you know, the 42 00:01:56,800 --> 00:02:00,000 Speaker 2: same rate across communities? Are they looking at different rates? 43 00:02:00,200 --> 00:02:03,000 Speaker 2: And then I'm looking after who's coming into Google over 44 00:02:03,040 --> 00:02:06,560 Speaker 2: the next ten to fifteen years, and what programs do 45 00:02:06,600 --> 00:02:09,360 Speaker 2: we need to have externally? What does our creator base 46 00:02:09,440 --> 00:02:11,320 Speaker 2: look like, what does our user base? We have over 47 00:02:11,360 --> 00:02:15,200 Speaker 2: a billion users, what does that look like? And how 48 00:02:15,240 --> 00:02:18,640 Speaker 2: does that ecosystem all work together to make sure that 49 00:02:19,080 --> 00:02:22,440 Speaker 2: we're meeting people just as they are where they are 50 00:02:22,919 --> 00:02:27,480 Speaker 2: in that moment, and I have a global team. 51 00:02:26,400 --> 00:02:28,440 Speaker 3: That helps me do that well every day. 52 00:02:28,720 --> 00:02:31,920 Speaker 1: Melanie, speaking of some of the impact that you all 53 00:02:31,960 --> 00:02:35,280 Speaker 1: are making, you all had fight the event recently. During 54 00:02:35,320 --> 00:02:38,440 Speaker 1: this conference, change Makers talk about how important it is 55 00:02:38,480 --> 00:02:41,360 Speaker 1: to invest in support some of those folks outside. You 56 00:02:41,400 --> 00:02:43,880 Speaker 1: talked about your role inside, but what's your impact on 57 00:02:43,960 --> 00:02:45,000 Speaker 1: the outside as well, you. 58 00:02:44,960 --> 00:02:45,959 Speaker 3: Know, externally. 59 00:02:46,160 --> 00:02:50,160 Speaker 2: Our goal is to build sustainable equity, not just internally, 60 00:02:50,200 --> 00:02:53,520 Speaker 2: as you said, Angela, but externally as well. So change 61 00:02:53,520 --> 00:02:58,200 Speaker 2: Makers allows us to give voice, often to a community 62 00:02:58,240 --> 00:03:01,200 Speaker 2: that may not have voice. What we we typically find 63 00:03:01,280 --> 00:03:04,160 Speaker 2: when we look at black and brown voices is that 64 00:03:04,200 --> 00:03:08,440 Speaker 2: you're either hyper visible or you're invisible in between. 65 00:03:08,000 --> 00:03:09,639 Speaker 3: That that's a whole lot of stress. 66 00:03:10,080 --> 00:03:12,800 Speaker 2: And so we want to make we want to normalize, 67 00:03:13,200 --> 00:03:15,840 Speaker 2: like elevating change makers. 68 00:03:15,480 --> 00:03:18,480 Speaker 3: And we want people to know they have to feel 69 00:03:18,520 --> 00:03:19,760 Speaker 3: empowered to have voice. 70 00:03:19,800 --> 00:03:23,400 Speaker 2: It's when you don't have voice that we have, you know, 71 00:03:23,560 --> 00:03:27,720 Speaker 2: horrible leadership that we're you know, by being silent, we're 72 00:03:27,840 --> 00:03:31,880 Speaker 2: actually giving way to change that's not progressive. So that's 73 00:03:31,919 --> 00:03:34,800 Speaker 2: what change Makers is really all about. So we look 74 00:03:34,840 --> 00:03:38,640 Speaker 2: to curate spaces and rooms where we can bring people. 75 00:03:38,360 --> 00:03:42,200 Speaker 6: Together, Melanie, A lot of them, at least as of late, 76 00:03:42,240 --> 00:03:45,840 Speaker 6: there's been quite a political attack on diversity inclusion, what 77 00:03:45,880 --> 00:03:48,920 Speaker 6: it means to have diverse workforces. Obviously, I don't mean 78 00:03:48,920 --> 00:03:51,080 Speaker 6: for you to tell on your own company, but amongst 79 00:03:51,160 --> 00:03:55,520 Speaker 6: your group of peers, could you just shine a light 80 00:03:55,640 --> 00:03:58,520 Speaker 6: for us, let us, let us sit on the floor 81 00:03:58,680 --> 00:04:01,800 Speaker 6: of y'all's couch, converse, say and share a little bit 82 00:04:01,840 --> 00:04:05,720 Speaker 6: about what folks who are in that space are feeling experiencing. 83 00:04:05,800 --> 00:04:09,520 Speaker 6: Are they feeling like the best approach for survivalists to 84 00:04:09,560 --> 00:04:13,240 Speaker 6: step back in the work and maybe make it more 85 00:04:13,920 --> 00:04:16,440 Speaker 6: I guess you'd say for everybody, and not just for 86 00:04:16,920 --> 00:04:19,400 Speaker 6: or directed toward a particular group of employees. 87 00:04:19,640 --> 00:04:22,800 Speaker 2: So let me start with the incredible work that you know, 88 00:04:22,880 --> 00:04:26,520 Speaker 2: we have long standing at Google. You know, so we've 89 00:04:26,600 --> 00:04:32,520 Speaker 2: you know, long been commuted committed to diversity, equity and inclusion, 90 00:04:33,080 --> 00:04:37,400 Speaker 2: and we're leaders and we're learners, and we do both transparently. 91 00:04:37,920 --> 00:04:42,880 Speaker 2: We just published our eleventh Diversity Annual Report in the spring, 92 00:04:43,360 --> 00:04:45,479 Speaker 2: and in the back of that when we talk about 93 00:04:45,480 --> 00:04:49,120 Speaker 2: our progress, which includes you know, just historic levels of 94 00:04:49,160 --> 00:04:52,360 Speaker 2: bringing underrepresented communities, which are women. 95 00:04:52,200 --> 00:04:53,520 Speaker 3: People with disabilities. 96 00:04:53,720 --> 00:04:58,320 Speaker 2: We look across minority communities as well, but we put 97 00:04:58,440 --> 00:05:01,640 Speaker 2: that in an appendix. So we have the largest publicly 98 00:05:01,680 --> 00:05:06,120 Speaker 2: available DEI data set, and we use big Query to 99 00:05:06,240 --> 00:05:09,279 Speaker 2: open source it, so you're you know, there's no mystery 100 00:05:09,760 --> 00:05:11,600 Speaker 2: in what our numbers are. You can look at them 101 00:05:11,680 --> 00:05:13,560 Speaker 2: year over year, and we put it in a very 102 00:05:13,560 --> 00:05:16,720 Speaker 2: easy format because we want you not just to you know, 103 00:05:16,760 --> 00:05:18,600 Speaker 2: look at where we lead, but look at where we're 104 00:05:18,680 --> 00:05:21,159 Speaker 2: learning and the opportunity space for all of us. I 105 00:05:21,200 --> 00:05:21,520 Speaker 2: love that. 106 00:05:29,600 --> 00:05:34,080 Speaker 1: We have witnessed this massive pulling back of DEI efforts. 107 00:05:34,080 --> 00:05:37,440 Speaker 1: And here we are at this Congressional Black Hawkice Foundation. 108 00:05:37,560 --> 00:05:39,440 Speaker 1: You look out here, you see all this a c 109 00:05:39,640 --> 00:05:43,400 Speaker 1: of beautiful blackness. But for some reason, our blackness is 110 00:05:43,440 --> 00:05:46,320 Speaker 1: treated as inherently violent and criminal on the outside. So 111 00:05:46,360 --> 00:05:49,080 Speaker 1: we got this pushed forward in twenty twenty and this 112 00:05:49,200 --> 00:05:53,360 Speaker 1: severe retraction since then. How have you been able personally 113 00:05:53,440 --> 00:05:56,440 Speaker 1: and professionally building because you are You're such a leader. 114 00:05:56,760 --> 00:05:59,080 Speaker 1: You are always a shiny example even today, like you 115 00:05:59,120 --> 00:06:00,760 Speaker 1: have this glow that's her all the time. 116 00:06:00,800 --> 00:06:01,800 Speaker 3: It's not makeup, y'all. 117 00:06:01,839 --> 00:06:04,400 Speaker 1: This is literally her, I want you to talk briefly 118 00:06:04,440 --> 00:06:06,919 Speaker 1: about how you were able to sustain and in fact 119 00:06:07,080 --> 00:06:09,080 Speaker 1: grow through that retraction. 120 00:06:09,960 --> 00:06:14,120 Speaker 2: Well, you know, I'm not surprised by some of the 121 00:06:14,160 --> 00:06:17,400 Speaker 2: things that we see because whenever we have progress, we 122 00:06:17,480 --> 00:06:19,200 Speaker 2: have people who are looking at how do you get 123 00:06:19,200 --> 00:06:20,240 Speaker 2: to that progress? 124 00:06:20,600 --> 00:06:22,760 Speaker 3: You know, And so that's what we see. 125 00:06:23,160 --> 00:06:26,320 Speaker 2: How I stay focused and how I encourage others look 126 00:06:26,360 --> 00:06:27,040 Speaker 2: at the data. 127 00:06:27,120 --> 00:06:27,960 Speaker 3: What is your data? 128 00:06:28,040 --> 00:06:31,880 Speaker 2: Say, like we're data informed. And one of the things 129 00:06:31,960 --> 00:06:35,839 Speaker 2: I say is like I exist and my organization exists 130 00:06:35,920 --> 00:06:38,120 Speaker 2: to close gaps, and how am I going to find 131 00:06:38,120 --> 00:06:38,560 Speaker 2: those gaps? 132 00:06:38,600 --> 00:06:39,960 Speaker 3: I'm going to look at the data. 133 00:06:40,040 --> 00:06:42,599 Speaker 2: So I'm not disheartened by looking to my left or 134 00:06:42,600 --> 00:06:45,760 Speaker 2: my right. I'm really looking forward and where do I 135 00:06:45,800 --> 00:06:48,560 Speaker 2: need to continue to like close those gaps, make that 136 00:06:48,640 --> 00:06:52,360 Speaker 2: progress and really meet people where they are and people 137 00:06:52,440 --> 00:06:56,400 Speaker 2: really need us to continue to create safe spaces to 138 00:06:56,400 --> 00:06:57,159 Speaker 2: bring them together. 139 00:06:57,360 --> 00:07:05,040 Speaker 4: Melody, I'm interrupting Retu, Mama and Papa Rye that Paples 140 00:07:05,160 --> 00:07:09,359 Speaker 4: here at the Congressional to give your ticket legislative commerce 141 00:07:09,400 --> 00:07:12,040 Speaker 4: and they're looking for their tickets for dinner. So we 142 00:07:12,080 --> 00:07:14,360 Speaker 4: will be remaining if we did not have Papa Rye 143 00:07:14,400 --> 00:07:16,400 Speaker 4: come by, come by and get on the mic. 144 00:07:16,480 --> 00:07:18,960 Speaker 3: Papa Rye, he wants you. This is what he said. 145 00:07:19,440 --> 00:07:21,280 Speaker 3: I want you to know. This is what my dad 146 00:07:21,320 --> 00:07:27,320 Speaker 3: was going to do. This way in front of the camera. 147 00:07:28,240 --> 00:07:30,640 Speaker 3: This way, would you leg. 148 00:07:30,600 --> 00:07:34,320 Speaker 4: As beautiful, Mom, Mama, Rai and Papa Rye are here 149 00:07:34,560 --> 00:07:35,520 Speaker 4: your own cameras. 150 00:07:35,880 --> 00:07:39,680 Speaker 3: You look beautiful, You look so beautiful, gorgeous. We're in 151 00:07:39,680 --> 00:07:41,880 Speaker 3: the middle of an Interviewers Live and we love you. 152 00:07:42,040 --> 00:07:44,240 Speaker 4: So we wanted to have a cameo from Mama and 153 00:07:44,240 --> 00:07:46,160 Speaker 4: Papa Rye say hi to everybody. 154 00:07:46,600 --> 00:07:47,600 Speaker 2: We can't go back. 155 00:07:47,960 --> 00:07:49,520 Speaker 6: That's right, that's. 156 00:07:49,480 --> 00:07:50,320 Speaker 3: Right, that's right. 157 00:07:51,600 --> 00:07:53,640 Speaker 1: I want to want to remind everyone that this is 158 00:07:53,640 --> 00:07:54,920 Speaker 1: a nonpartisan conference. 159 00:07:56,280 --> 00:07:57,640 Speaker 3: We're not going. 160 00:07:59,000 --> 00:07:59,920 Speaker 4: I love it. 161 00:08:00,200 --> 00:08:03,160 Speaker 1: In case anybody wanted to know why, I'm so hard headed. 162 00:08:03,240 --> 00:08:05,800 Speaker 3: Thank you all so much for being here. It's a pleasure. 163 00:08:06,320 --> 00:08:08,920 Speaker 1: You're gonna stay on set, okay, perfect. 164 00:08:10,000 --> 00:08:12,640 Speaker 3: And father r We love you. We'll see you inside 165 00:08:12,640 --> 00:08:13,239 Speaker 3: at the dinner. 166 00:08:13,400 --> 00:08:13,840 Speaker 2: I love it. 167 00:08:14,280 --> 00:08:16,080 Speaker 4: We had to, you know, she had to get her 168 00:08:16,120 --> 00:08:17,080 Speaker 4: parents their tickets. 169 00:08:17,120 --> 00:08:20,440 Speaker 2: So we have generations of women that live in my house. 170 00:08:20,480 --> 00:08:22,680 Speaker 2: Well one and a half your old granddaughter to my 171 00:08:22,800 --> 00:08:24,920 Speaker 2: eighty seven year old mother. 172 00:08:25,160 --> 00:08:29,080 Speaker 3: This is like being grandmother welcome. This is you know, like, 173 00:08:29,120 --> 00:08:30,600 Speaker 3: what are the rules right? 174 00:08:31,240 --> 00:08:33,600 Speaker 4: But it's funny you say that because you you know, 175 00:08:33,760 --> 00:08:36,920 Speaker 4: you look gorgeous, and we have beautiful grandmothers. 176 00:08:36,440 --> 00:08:37,520 Speaker 3: In our community, of course. 177 00:08:37,720 --> 00:08:39,840 Speaker 4: But I'm always bringing up when Donald Trump said, well, 178 00:08:39,880 --> 00:08:42,520 Speaker 4: I thought he was talking about Vice President Harris. I 179 00:08:42,520 --> 00:08:44,800 Speaker 4: thought she was a lot younger. Turns out she's sixty. 180 00:08:45,160 --> 00:08:47,080 Speaker 4: Like he's gonna learn a whole lot about how black 181 00:08:47,120 --> 00:08:51,000 Speaker 4: women show up in this country physically and literally. I 182 00:08:51,040 --> 00:08:53,400 Speaker 4: want to jump in and ask a quick policy question 183 00:08:53,559 --> 00:08:56,960 Speaker 4: if I could, because something that we are well that 184 00:08:57,040 --> 00:09:00,719 Speaker 4: I have a personal interest in is AI and I'm 185 00:09:00,800 --> 00:09:05,319 Speaker 4: curious how Google might navigate the changing AI, particularly through 186 00:09:05,320 --> 00:09:08,840 Speaker 4: the lens of diversity when it comes to black folks. 187 00:09:08,880 --> 00:09:10,720 Speaker 4: And I know we've got some other guests way to buy, 188 00:09:10,760 --> 00:09:12,200 Speaker 4: so and I know you got to get to the dinner. 189 00:09:12,400 --> 00:09:14,560 Speaker 4: So that's a quick question before we let you go. 190 00:09:14,840 --> 00:09:18,040 Speaker 2: So really, you know, our goal here is to build 191 00:09:18,080 --> 00:09:19,200 Speaker 2: sustainable equity. 192 00:09:19,280 --> 00:09:21,600 Speaker 3: That's the same thing that we want to do with AI. 193 00:09:22,160 --> 00:09:25,200 Speaker 2: And so you know, we want to move responsibly, and 194 00:09:25,240 --> 00:09:28,079 Speaker 2: sometimes that means you don't move as fast as you're 195 00:09:28,120 --> 00:09:31,680 Speaker 2: looking at that responsibly and we're looking particularly when you 196 00:09:31,679 --> 00:09:35,439 Speaker 2: look at like black community and brown communities and other 197 00:09:35,520 --> 00:09:36,680 Speaker 2: underrepresented groups. 198 00:09:36,840 --> 00:09:38,680 Speaker 3: We know there are two sides to a coin. 199 00:09:39,000 --> 00:09:41,640 Speaker 2: One do no harm and the other side of that 200 00:09:42,040 --> 00:09:45,319 Speaker 2: is leave no community behind. So we've developed a set 201 00:09:45,360 --> 00:09:46,559 Speaker 2: of AI principles. 202 00:09:46,559 --> 00:09:48,680 Speaker 3: A part of those principles. 203 00:09:48,240 --> 00:09:51,520 Speaker 2: Is ensuring you know, the ethical responsibility that we have 204 00:09:52,000 --> 00:09:54,120 Speaker 2: and some of the work like I lead a HBC 205 00:09:54,360 --> 00:09:59,560 Speaker 2: President's Council and with Howard University, we have our research 206 00:09:59,600 --> 00:10:02,800 Speaker 2: AI research project with them where they own all the 207 00:10:02,880 --> 00:10:06,760 Speaker 2: licensing rights, and it's called Project Elevate Black Voices because 208 00:10:06,800 --> 00:10:12,080 Speaker 2: our own research and external research shows that automatic speech 209 00:10:12,160 --> 00:10:16,560 Speaker 2: recognition doesn't recognize all the dialects that exists. 210 00:10:16,400 --> 00:10:17,400 Speaker 3: In the black culture. 211 00:10:17,679 --> 00:10:20,920 Speaker 2: And so Howard is seeking to you know, with their 212 00:10:20,920 --> 00:10:24,640 Speaker 2: own student body and our researchers, they are getting first 213 00:10:24,640 --> 00:10:28,680 Speaker 2: hand experience and how to develop the research that will 214 00:10:28,720 --> 00:10:32,200 Speaker 2: support the technology recognizing. 215 00:10:31,720 --> 00:10:33,199 Speaker 3: The dialect a little bit better. 216 00:10:33,520 --> 00:10:36,640 Speaker 2: We have a five million dollar grant we put at Spelman. 217 00:10:36,720 --> 00:10:39,160 Speaker 2: Doctor Gail will be at our Google table today, so 218 00:10:39,280 --> 00:10:40,360 Speaker 2: come give her a shout out. 219 00:10:41,120 --> 00:10:42,439 Speaker 3: But those are the types of. 220 00:10:42,400 --> 00:10:45,160 Speaker 2: Things that we're doing on that front. And lastly, I'll 221 00:10:45,200 --> 00:10:49,120 Speaker 2: say we worked with the Divine Nine, the Links Incorporated 222 00:10:49,480 --> 00:10:53,960 Speaker 2: and Dress for Success to really train one hundred thousand 223 00:10:54,200 --> 00:10:59,120 Speaker 2: black women. But of course our community we've now trained 224 00:10:59,120 --> 00:11:00,000 Speaker 2: over two hundred. 225 00:10:59,760 --> 00:11:02,760 Speaker 3: Thous black women. We're still going strong. 226 00:11:03,520 --> 00:11:07,600 Speaker 2: Delta Sigma Theda has been out in front really, you know, 227 00:11:07,760 --> 00:11:12,120 Speaker 2: embracing and taking this technology like out to the communities 228 00:11:12,160 --> 00:11:14,240 Speaker 2: that they served, and so we're really proud of the effort. 229 00:11:14,480 --> 00:11:17,400 Speaker 3: You love it. Thank you so much. You are so 230 00:11:17,480 --> 00:11:19,840 Speaker 3: grateful to have you. Enjoy the dinner. This is my 231 00:11:19,920 --> 00:11:20,840 Speaker 3: favorite time of the year. 232 00:11:21,120 --> 00:11:23,480 Speaker 1: I always tell people my favorite moment is when the 233 00:11:23,520 --> 00:11:24,719 Speaker 1: members walk across it. 234 00:11:24,840 --> 00:11:26,520 Speaker 3: That's my favorite. 235 00:11:26,720 --> 00:11:31,160 Speaker 2: And last night I saw representative of Jasmine Crockett and 236 00:11:31,200 --> 00:11:33,440 Speaker 2: I said, I'm going to be so excited to see 237 00:11:33,480 --> 00:11:36,840 Speaker 2: you and the other freshman representatives walk across the stage. 238 00:11:37,240 --> 00:11:39,880 Speaker 1: Thank you for having me, Thank you, thank you for 239 00:11:39,920 --> 00:11:40,480 Speaker 1: partnering with this. 240 00:11:42,240 --> 00:11:44,720 Speaker 4: All right, thanks for listening to you guys. Please please 241 00:11:44,760 --> 00:11:47,720 Speaker 4: please remember to rate, review, subscribe, and tune into our 242 00:11:47,760 --> 00:11:50,480 Speaker 4: regular episode on Thursdays, We Welcome home, y'all. 243 00:12:02,800 --> 00:12:06,280 Speaker 1: Native Lampod is a production of iHeartRadio in partnership with 244 00:12:06,440 --> 00:12:10,280 Speaker 1: Reason Choice Media. For more podcasts from iHeartRadio, visit the 245 00:12:10,280 --> 00:12:14,040 Speaker 1: iHeartRadio app, Apple podcasts, or wherever you listen to your 246 00:12:14,040 --> 00:12:15,439 Speaker 1: favorite shows.