1 00:00:00,120 --> 00:00:02,840 Speaker 1: It's a pleasure to be with you today. And I'm 2 00:00:03,160 --> 00:00:07,640 Speaker 1: curious about like the state of healthcare and how we 3 00:00:07,680 --> 00:00:10,879 Speaker 1: take care of ourselves when we think about what's happening 4 00:00:10,920 --> 00:00:13,520 Speaker 1: with AI, and you know, we used to just go 5 00:00:13,560 --> 00:00:15,960 Speaker 1: to Google and say, you know, what does this bump mean? 6 00:00:16,040 --> 00:00:18,119 Speaker 1: And all of these different things, But now we have AI, 7 00:00:18,200 --> 00:00:20,640 Speaker 1: which is kind of changing the whole landscape very much, 8 00:00:20,720 --> 00:00:24,640 Speaker 1: changing that landscape. What are you seeing happening with both 9 00:00:24,720 --> 00:00:27,640 Speaker 1: our awareness about how to take advantage of these things 10 00:00:27,640 --> 00:00:30,600 Speaker 1: and the responses we get with the technologies we use. 11 00:00:31,560 --> 00:00:32,960 Speaker 2: Well, I think that AI. 12 00:00:33,680 --> 00:00:37,600 Speaker 3: I think I know right, it is beneficial in so 13 00:00:37,720 --> 00:00:40,600 Speaker 3: many ways. Right, we are able to maybe detect breast 14 00:00:40,640 --> 00:00:42,960 Speaker 3: cancer five years before it's going to happen, and we 15 00:00:43,000 --> 00:00:45,120 Speaker 3: know that early stage breast cancer is on the ride. 16 00:00:45,200 --> 00:00:49,520 Speaker 3: So that's an interesting prospect for sure. But I think 17 00:00:49,680 --> 00:00:52,160 Speaker 3: the thought that you're just going to cut the human 18 00:00:52,240 --> 00:00:56,320 Speaker 3: element out of healthcare is incorrect. Also, the data sets 19 00:00:56,360 --> 00:00:59,440 Speaker 3: that we have at this moment are not on not 20 00:00:59,480 --> 00:01:03,480 Speaker 3: reflective of like general population, right, which is a historic thing. 21 00:01:03,760 --> 00:01:07,639 Speaker 3: So I think there's that's that's a gap there as well. 22 00:01:08,560 --> 00:01:10,959 Speaker 3: How are we training these models? I also think that 23 00:01:11,080 --> 00:01:17,640 Speaker 3: like there's this element of like we see commandeering digital 24 00:01:17,720 --> 00:01:21,880 Speaker 3: health and looking for the flashy thing and like the 25 00:01:21,880 --> 00:01:24,000 Speaker 3: growth at all costs and like things that it can 26 00:01:24,040 --> 00:01:29,280 Speaker 3: be scaled like fast, and then you know this is 27 00:01:29,280 --> 00:01:31,040 Speaker 3: like you're crashing and you're burning, and there's all these 28 00:01:31,120 --> 00:01:34,000 Speaker 3: nuances and so you know, sometimes they have this friction 29 00:01:34,080 --> 00:01:36,000 Speaker 3: point with my investor. It's not so much anymore, but 30 00:01:36,040 --> 00:01:38,040 Speaker 3: it's like okay, like hey, what are you doing, How 31 00:01:38,040 --> 00:01:38,440 Speaker 3: are you doing it? 32 00:01:38,480 --> 00:01:39,440 Speaker 2: Why can't you move faster? 33 00:01:39,480 --> 00:01:41,280 Speaker 3: And I'm like, well, because if this thing burns to 34 00:01:41,319 --> 00:01:44,040 Speaker 3: the ground, all I have with my license and my integrity, 35 00:01:44,400 --> 00:01:46,000 Speaker 3: and that's how I can go back and work into 36 00:01:46,000 --> 00:01:46,600 Speaker 3: a hospital. 37 00:01:47,040 --> 00:01:48,520 Speaker 2: And at the end of the day. 38 00:01:48,880 --> 00:01:51,640 Speaker 3: I know that we're here for profit. But my hope, 39 00:01:51,760 --> 00:01:55,280 Speaker 3: at my want is to provide access to the three 40 00:01:55,320 --> 00:01:58,200 Speaker 3: hundred million Americans that need it the most. And so 41 00:01:58,400 --> 00:02:01,560 Speaker 3: if I'm doing that in a real way that is 42 00:02:01,680 --> 00:02:06,480 Speaker 3: measured and thoughtful and based on you know, data and 43 00:02:06,720 --> 00:02:11,280 Speaker 3: science and literacy all those things, then I have to 44 00:02:11,360 --> 00:02:12,600 Speaker 3: grow in this way. 45 00:02:13,440 --> 00:02:16,200 Speaker 1: Yeah, that was a really interesting point there in how 46 00:02:16,320 --> 00:02:20,200 Speaker 1: vcs kind of the and censors are misaligned with what 47 00:02:20,320 --> 00:02:22,000 Speaker 1: you need in healthcare. And I want you to speak 48 00:02:22,000 --> 00:02:24,600 Speaker 1: a little bit more on that, because you know, I 49 00:02:24,600 --> 00:02:26,919 Speaker 1: grew up listening to people like Mark Zuckerberg talking the 50 00:02:27,040 --> 00:02:29,280 Speaker 1: move fast and break things, and you're saying, like that 51 00:02:29,320 --> 00:02:32,560 Speaker 1: does not work when you're talking about health. How how 52 00:02:32,600 --> 00:02:37,799 Speaker 1: can you encourage venture capital, which you need in industries 53 00:02:37,880 --> 00:02:40,280 Speaker 1: like this to be able to fund the thing? How 54 00:02:40,320 --> 00:02:41,880 Speaker 1: do they have to look at this differently? 55 00:02:43,760 --> 00:02:44,040 Speaker 2: Yeah? 56 00:02:44,200 --> 00:02:47,200 Speaker 3: Like so for myself, right, this is this is a 57 00:02:47,240 --> 00:02:50,320 Speaker 3: new attrition company, right, Intertian company. We are registered dietitians, 58 00:02:50,320 --> 00:02:54,240 Speaker 3: We see patients one on one telemedicine. Are there places 59 00:02:54,280 --> 00:02:57,440 Speaker 3: for us to use AI and to grow faster and 60 00:02:57,480 --> 00:03:00,320 Speaker 3: by using technology and be more efficient and increase gross 61 00:03:00,320 --> 00:03:06,440 Speaker 3: margin a thousand percent? But is that just the answer. No, 62 00:03:06,680 --> 00:03:10,440 Speaker 3: that's not just the answer. And so I won't name 63 00:03:10,520 --> 00:03:14,320 Speaker 3: them by name. But you can think about other companies 64 00:03:14,440 --> 00:03:18,040 Speaker 3: that are like prescribing compounded golp ones for example, and 65 00:03:18,080 --> 00:03:19,679 Speaker 3: it's like okay, yeah, like well look what they're doing, 66 00:03:19,760 --> 00:03:22,200 Speaker 3: or you're selling supplements, like why don't you do that? 67 00:03:22,320 --> 00:03:25,400 Speaker 3: And it's like, well, I'm not selling compounded GLP one 68 00:03:25,400 --> 00:03:30,080 Speaker 3: because we didn't do trials on semaglitie acetate or cemgleeatide sodium. 69 00:03:30,080 --> 00:03:31,920 Speaker 3: And I'm in the business of providing safe care to 70 00:03:31,960 --> 00:03:35,080 Speaker 3: my patients, and so I can't do that. And I'm 71 00:03:35,120 --> 00:03:38,200 Speaker 3: not going to give you supplements because maybe not everyone 72 00:03:38,240 --> 00:03:42,200 Speaker 3: can afford supplements, right, That is a very elitist look, right, 73 00:03:42,240 --> 00:03:44,560 Speaker 3: And so what are the things that I can help 74 00:03:44,680 --> 00:03:45,200 Speaker 3: someone do? 75 00:03:45,280 --> 00:03:45,720 Speaker 2: And I'm not. 76 00:03:45,640 --> 00:03:48,040 Speaker 3: Saying you should have supplements or you shouldn't have supplements, 77 00:03:48,200 --> 00:03:50,680 Speaker 3: but that's not what my business model is. And so 78 00:03:50,760 --> 00:03:54,280 Speaker 3: I think that just like really understanding, like what is 79 00:03:54,320 --> 00:03:57,040 Speaker 3: the goal. The goal is to make people better. The 80 00:03:57,160 --> 00:04:00,400 Speaker 3: goal is to get people to come in see you 81 00:04:00,640 --> 00:04:04,560 Speaker 3: understand where they fit in, and also collaborate perhaps with 82 00:04:04,600 --> 00:04:06,800 Speaker 3: their physicians so that we can get better outcomes. And 83 00:04:06,800 --> 00:04:11,080 Speaker 3: so that's better for the group, the collective. And then 84 00:04:11,160 --> 00:04:14,840 Speaker 3: I think there is the like the path to making 85 00:04:14,880 --> 00:04:17,200 Speaker 3: more money, right, and so just being like judicious about 86 00:04:17,200 --> 00:04:19,920 Speaker 3: the way that you see things and pouring more money 87 00:04:19,960 --> 00:04:23,520 Speaker 3: on that instead of pouring more money on what you've 88 00:04:23,520 --> 00:04:25,000 Speaker 3: been pattern matching for so long. 89 00:04:25,920 --> 00:04:28,320 Speaker 1: Yeah, you make me think about this conversation we have 90 00:04:28,400 --> 00:04:30,800 Speaker 1: in our country about you know, how other countries might 91 00:04:30,839 --> 00:04:32,640 Speaker 1: have free health care and you know, we have to 92 00:04:32,680 --> 00:04:35,280 Speaker 1: pay for it here, and they may have better outcomes 93 00:04:35,279 --> 00:04:37,680 Speaker 1: because the food they get offered are better and all 94 00:04:37,720 --> 00:04:42,159 Speaker 1: these different things. As someone who's building a company that 95 00:04:42,279 --> 00:04:46,479 Speaker 1: also supports good health and positive outcomes, how do you 96 00:04:46,560 --> 00:04:49,640 Speaker 1: think about these things and are they also misaligned? 97 00:04:50,960 --> 00:04:52,360 Speaker 2: I do think that they're misaligned. 98 00:04:52,400 --> 00:04:56,360 Speaker 3: Like the fact that you know, maternal leave is not 99 00:04:56,480 --> 00:05:00,400 Speaker 3: just like a standard thing here is really unfortunate. You're 100 00:05:00,440 --> 00:05:02,640 Speaker 3: so stressed out, you have the baby, you have to 101 00:05:02,640 --> 00:05:04,960 Speaker 3: like pay for the baby's child's care. Maybe you're not 102 00:05:05,000 --> 00:05:08,160 Speaker 3: able to nurse. Probably some people are right, Like I 103 00:05:08,200 --> 00:05:10,040 Speaker 3: worked and I breastfed both of my kids for one 104 00:05:10,120 --> 00:05:12,080 Speaker 3: year each. But I worked in a hospital and I 105 00:05:12,200 --> 00:05:14,760 Speaker 3: worked with dieticians and that was where we were forward, 106 00:05:14,839 --> 00:05:17,320 Speaker 3: so I had a lot of support there everybody else. 107 00:05:17,520 --> 00:05:19,520 Speaker 3: I mean, when I've worked corporate jobs after having had 108 00:05:19,560 --> 00:05:22,360 Speaker 3: a kid, I'm pumping in a bathroom. What I can 109 00:05:22,400 --> 00:05:25,240 Speaker 3: tell you my sister in law, who's an archaeologist and 110 00:05:25,720 --> 00:05:28,279 Speaker 3: gave birth to her second kid in Sweden. She was 111 00:05:28,279 --> 00:05:30,720 Speaker 3: on a project for the country of Sweden. She is 112 00:05:30,760 --> 00:05:34,040 Speaker 3: not a citizen of the country, and they put they 113 00:05:34,080 --> 00:05:36,200 Speaker 3: paid for her maternity, and I'm like, wait, wait. 114 00:05:37,000 --> 00:05:40,320 Speaker 2: You don't even you're not a citizen of Sweden. She's like, 115 00:05:40,360 --> 00:05:41,440 Speaker 2: I'm not a government contract. 116 00:05:41,440 --> 00:05:44,800 Speaker 3: I'm like, this is wild, right, And so because of 117 00:05:44,839 --> 00:05:47,320 Speaker 3: that she had, they didn't think about it. 118 00:05:47,360 --> 00:05:48,360 Speaker 2: They were getting. 119 00:05:48,040 --> 00:05:51,000 Speaker 3: Paid and her kid was breastbed and she was, you know, 120 00:05:51,279 --> 00:05:54,200 Speaker 3: exploring Sweden and doing all those things. And then that 121 00:05:54,279 --> 00:05:58,280 Speaker 3: give you like peace and you can function and you're 122 00:05:58,320 --> 00:06:00,120 Speaker 3: not stressed out, and because you're not stressed out, you 123 00:06:00,120 --> 00:06:02,360 Speaker 3: don't have a stressed out baby. These are like cascade, 124 00:06:02,880 --> 00:06:06,240 Speaker 3: cascading effects that are beneficial, and we're just missing the 125 00:06:06,320 --> 00:06:08,680 Speaker 3: mark because at the end of the day, we're always like, oh, well, 126 00:06:08,920 --> 00:06:09,920 Speaker 3: how much money can we save? 127 00:06:09,960 --> 00:06:10,520 Speaker 2: How much money? 128 00:06:10,960 --> 00:06:12,760 Speaker 3: What is that putting into our pocket? You're right, but 129 00:06:12,800 --> 00:06:16,400 Speaker 3: if people's mental health is suffering and they can't, hey, 130 00:06:16,839 --> 00:06:18,920 Speaker 3: you could save a lot of money if you were 131 00:06:18,960 --> 00:06:22,160 Speaker 3: supporting women in breastfeeding and making it easier and letting 132 00:06:22,200 --> 00:06:23,600 Speaker 3: them know that they could stay home and they didn't 133 00:06:23,640 --> 00:06:24,800 Speaker 3: have to have a pump, but they'd have to do this. 134 00:06:24,880 --> 00:06:26,680 Speaker 3: And yes, of course, if you don't want a breastfeed, 135 00:06:26,839 --> 00:06:29,640 Speaker 3: that's all fine too, no problem, but you're not even 136 00:06:29,680 --> 00:06:32,040 Speaker 3: really giving people a solid chance to do it. 137 00:06:34,360 --> 00:06:38,760 Speaker 1: What is one digital particularly digital innovation that you think 138 00:06:38,800 --> 00:06:41,720 Speaker 1: could radically transform some of the issues you're talking about 139 00:06:41,760 --> 00:06:45,200 Speaker 1: with regards to our nutrition and preventative health in our community. 140 00:06:46,800 --> 00:06:47,880 Speaker 2: Yeah, I think that. 141 00:06:49,080 --> 00:06:54,920 Speaker 3: I do think that AI and scribing and allowing for 142 00:06:55,000 --> 00:06:57,800 Speaker 3: the clinician to spend more time in patient. 143 00:06:57,560 --> 00:07:01,320 Speaker 2: Care allows more relationship. Right. 144 00:07:01,440 --> 00:07:05,400 Speaker 3: The dietician is the frontline of healthcare, highly trained, underutilized. 145 00:07:05,440 --> 00:07:08,359 Speaker 3: I sit a while, I sat along side med students, 146 00:07:08,440 --> 00:07:09,960 Speaker 3: nursing students, PA students. 147 00:07:10,040 --> 00:07:12,720 Speaker 2: I taught the med students at SINAI. 148 00:07:12,840 --> 00:07:15,200 Speaker 3: I have you know, I have doctor friends that message 149 00:07:15,240 --> 00:07:17,200 Speaker 3: me and they're like, can you talk through this with me? 150 00:07:17,680 --> 00:07:20,480 Speaker 3: Am I the smartest person on the planet. No, but 151 00:07:20,600 --> 00:07:25,080 Speaker 3: I've had to see many different types of patients, right, 152 00:07:25,240 --> 00:07:28,080 Speaker 3: for for a very long time. Right, And so so 153 00:07:28,240 --> 00:07:30,840 Speaker 3: because I talk to people for an hour every single 154 00:07:30,880 --> 00:07:33,360 Speaker 3: week and insurance is paying me for that, I learn 155 00:07:33,520 --> 00:07:34,400 Speaker 3: everything about them. 156 00:07:34,440 --> 00:07:37,800 Speaker 2: And also I am trained. When you and I are. 157 00:07:37,720 --> 00:07:40,400 Speaker 3: Talking, I'm generally I'm just listening to you and I'm 158 00:07:40,400 --> 00:07:42,200 Speaker 3: asking you questions so that then you tell me your 159 00:07:42,240 --> 00:07:44,600 Speaker 3: whole life story in three minutes, and honestly, in three 160 00:07:44,640 --> 00:07:46,760 Speaker 3: minutes on you know every single thing about you. And 161 00:07:46,800 --> 00:07:50,680 Speaker 3: then I and I understand also how you work, how 162 00:07:50,760 --> 00:07:53,040 Speaker 3: you see the world, because because I worked in a 163 00:07:53,040 --> 00:07:56,000 Speaker 3: New York City hospital, the juxtaposition of placement of most 164 00:07:56,000 --> 00:07:59,120 Speaker 3: New York City hospitals is within the community, so at 165 00:07:59,160 --> 00:08:02,560 Speaker 3: Mount Sinai the housing project across the street. And then 166 00:08:02,600 --> 00:08:05,760 Speaker 3: also I've seen all of the celebrities you name them, 167 00:08:05,800 --> 00:08:08,080 Speaker 3: I have seen them walking through the hall, right, and 168 00:08:08,120 --> 00:08:12,400 Speaker 3: I have to send that same information. So I understand 169 00:08:12,480 --> 00:08:14,600 Speaker 3: how you work, how you operate, and get you to 170 00:08:14,640 --> 00:08:18,480 Speaker 3: do things. And so the more you allow for clinicians 171 00:08:18,480 --> 00:08:21,600 Speaker 3: to do their job and you compensate them properly, the 172 00:08:21,640 --> 00:08:23,640 Speaker 3: better outcomes they're going to get. 173 00:08:25,080 --> 00:08:29,000 Speaker 1: There are hundreds, if not thousands of influencers all over 174 00:08:29,080 --> 00:08:32,440 Speaker 1: TikTok and Instagram. Who and yeah, I'm sure you've seen these. 175 00:08:32,520 --> 00:08:34,840 Speaker 1: You know, hey, you should not eat eggs, but then 176 00:08:34,880 --> 00:08:36,520 Speaker 1: the other ones like you should eat a lot of eggs, 177 00:08:36,559 --> 00:08:39,280 Speaker 1: and the other ones you know, meat is killing you 178 00:08:39,440 --> 00:08:42,280 Speaker 1: than double ones you need more meat from protein from 179 00:08:42,280 --> 00:08:44,920 Speaker 1: meat and etc. What are some of the most because 180 00:08:44,960 --> 00:08:46,600 Speaker 1: I'm just interested, heureus, like, what are some of the 181 00:08:46,600 --> 00:08:49,480 Speaker 1: most dangerous things that's your dietician, What are some of 182 00:08:49,480 --> 00:08:53,120 Speaker 1: the most dangerous pieces of advice and you can even 183 00:08:53,160 --> 00:08:56,320 Speaker 1: go with the sept highers, like how we get that information? 184 00:08:56,760 --> 00:08:58,600 Speaker 1: What are some of the most dangerous pieces of advice 185 00:08:58,640 --> 00:09:00,839 Speaker 1: you've seen pervasive on social media? 186 00:09:01,960 --> 00:09:04,720 Speaker 3: I mean it is like, it's the seed oils. You 187 00:09:04,760 --> 00:09:05,720 Speaker 3: can't have the seed oils. 188 00:09:05,760 --> 00:09:08,120 Speaker 2: You can't eat meat. You you have to be vegan. 189 00:09:08,520 --> 00:09:14,120 Speaker 3: You you It's like, well, hold on, yes, being more 190 00:09:14,160 --> 00:09:16,520 Speaker 3: plant based, Being plant based is better. We know that 191 00:09:16,600 --> 00:09:19,960 Speaker 3: we can correlate red meat to colon cancer, processed meats 192 00:09:20,000 --> 00:09:22,199 Speaker 3: to colon cancer. We can correlate all of those things. 193 00:09:22,240 --> 00:09:25,480 Speaker 3: So like, no problem understood that those studies exist. But 194 00:09:25,520 --> 00:09:28,200 Speaker 3: you're gonna tell people that they can only eat plants. 195 00:09:28,600 --> 00:09:32,520 Speaker 3: Like after Beyonce is movie, I don't know, and then 196 00:09:32,559 --> 00:09:35,760 Speaker 3: she she was vegan, and every single black patient I 197 00:09:35,840 --> 00:09:38,000 Speaker 3: had was like, I'm vegan and it's not working. 198 00:09:38,000 --> 00:09:40,280 Speaker 2: And I'm like, guys, you don't have Beyonce money. 199 00:09:40,320 --> 00:09:46,000 Speaker 3: So Beyonce's chef makes a grape tomato taste like chocolate, 200 00:09:46,080 --> 00:09:47,920 Speaker 3: So like, this isn't it for you, and let me 201 00:09:47,960 --> 00:09:50,080 Speaker 3: show you how to do it. 202 00:09:50,679 --> 00:09:51,840 Speaker 2: Let me show you how to do it. 203 00:09:51,880 --> 00:09:54,160 Speaker 3: And so I think the problem with social media is 204 00:09:54,160 --> 00:09:57,800 Speaker 3: that you see you see these famous people and you 205 00:09:57,840 --> 00:10:01,080 Speaker 3: see them doing these things and they're actually not really 206 00:10:01,080 --> 00:10:04,360 Speaker 3: telling you the truth, which is they are rich. They 207 00:10:04,400 --> 00:10:08,520 Speaker 3: are rich, so they have means to execute things. Most 208 00:10:08,559 --> 00:10:12,640 Speaker 3: people live somewhere in the middle. So what I would 209 00:10:12,640 --> 00:10:15,080 Speaker 3: tell you is, hey, you should eat mostly plants. So 210 00:10:15,120 --> 00:10:17,400 Speaker 3: what could that look like for you? That could look 211 00:10:17,480 --> 00:10:20,760 Speaker 3: like oatmeal for breakfast, a salad with chickpeas for lunch, 212 00:10:20,840 --> 00:10:23,960 Speaker 3: and at dinner you're having chicken, and so like, mostly 213 00:10:24,040 --> 00:10:27,560 Speaker 3: you ate plants today, and that's likely good enough. I 214 00:10:27,559 --> 00:10:30,800 Speaker 3: think when people talk in absolutes, it's very problematic. I 215 00:10:30,800 --> 00:10:34,079 Speaker 3: think the other problem is from my side, my governing 216 00:10:34,120 --> 00:10:37,760 Speaker 3: body doesn't protect my license, and so that allows people 217 00:10:38,280 --> 00:10:41,280 Speaker 3: to just come in and say that they know about nutrition. 218 00:10:42,080 --> 00:10:45,880 Speaker 3: Most Americans don't understand what statistically significant is. I've had 219 00:10:45,880 --> 00:10:47,600 Speaker 3: many patients. I had a patient ms to be like, 220 00:10:47,960 --> 00:10:50,480 Speaker 3: did you read this study that tequila lower's blood sugar? 221 00:10:50,520 --> 00:10:52,760 Speaker 2: And I'm like, what is the study? You send it 222 00:10:52,800 --> 00:10:54,440 Speaker 2: to me. So I look at the study and it 223 00:10:54,480 --> 00:10:55,679 Speaker 2: was like N of two. 224 00:10:56,240 --> 00:10:58,320 Speaker 3: I'm like, that is not a study. That's not even 225 00:10:58,360 --> 00:11:02,600 Speaker 3: a hypothesis. I'm like, do you under stand statistics? Everyone 226 00:11:02,840 --> 00:11:05,080 Speaker 3: give it to me. Let me, like, let me help 227 00:11:05,120 --> 00:11:08,240 Speaker 3: you understand this, and so it's it is a money grab. 228 00:11:08,280 --> 00:11:11,520 Speaker 3: And also because our license isn't protected. You even see 229 00:11:11,600 --> 00:11:13,959 Speaker 3: registered dietitians just talking out of both sides in their 230 00:11:14,000 --> 00:11:17,280 Speaker 3: mouths because they want people to know who they are. 231 00:11:17,840 --> 00:11:20,839 Speaker 3: I think there's this thing with dieticians that you're gonna beat. 232 00:11:20,840 --> 00:11:23,120 Speaker 3: And I know this is like very hypocritical because I 233 00:11:23,160 --> 00:11:26,520 Speaker 3: am on television, I am writing a book, but I'm 234 00:11:26,559 --> 00:11:27,280 Speaker 3: doing that because. 235 00:11:27,040 --> 00:11:30,680 Speaker 2: They're making me. It's like you're gonna be famous. 236 00:11:30,679 --> 00:11:33,040 Speaker 3: They're gonna be on You're gonna be on the Today Show, 237 00:11:33,080 --> 00:11:34,840 Speaker 3: and that's going to make you famous. 238 00:11:34,920 --> 00:11:37,600 Speaker 2: And it's like it's not nobody cares actually what I'm eating. 239 00:11:37,640 --> 00:11:40,079 Speaker 3: They like to hear me talk because I'm funny and 240 00:11:39,800 --> 00:11:42,200 Speaker 3: I give it in a relatable way, but they're actually 241 00:11:42,200 --> 00:11:45,079 Speaker 3: really curious about what celebrities are eating and what new 242 00:11:45,120 --> 00:11:48,120 Speaker 3: diet trend those people are doing, because that is what 243 00:11:48,120 --> 00:11:50,120 Speaker 3: we're looking at every single day. 244 00:11:50,200 --> 00:11:51,439 Speaker 2: And so that's where. 245 00:11:51,160 --> 00:11:55,080 Speaker 3: We are misguided, misled, like and it is it is 246 00:11:55,120 --> 00:11:56,600 Speaker 3: a true it's it's a true shame. 247 00:11:57,480 --> 00:12:00,679 Speaker 1: Yeah, what's what I find interesting about you use them 248 00:12:00,880 --> 00:12:03,360 Speaker 1: to a couple of things. One like you studied health care, 249 00:12:03,400 --> 00:12:06,200 Speaker 1: but you also have a strong business acumen, and that 250 00:12:06,280 --> 00:12:09,920 Speaker 1: is not something you get taught necessarily in medical school, 251 00:12:10,000 --> 00:12:14,040 Speaker 1: health school, all those things. What is different about your path? 252 00:12:14,160 --> 00:12:16,240 Speaker 1: What have you been exposed to that gave you that 253 00:12:16,880 --> 00:12:18,880 Speaker 1: level of depth and proficiency. 254 00:12:20,640 --> 00:12:24,360 Speaker 3: You know, my parents are immigrants from the poorest country 255 00:12:24,360 --> 00:12:27,439 Speaker 3: in the Western Hemisphere, and they both have advanced degrees. 256 00:12:27,559 --> 00:12:29,400 Speaker 3: And you know, my mom is a nurse and my 257 00:12:29,440 --> 00:12:32,080 Speaker 3: dad's an engineer. My dad speaks seven different languages, and 258 00:12:32,120 --> 00:12:36,000 Speaker 3: my dad was always hustling. He's like this black man 259 00:12:36,080 --> 00:12:39,760 Speaker 3: with an accent who is leaked and bounds smarter and 260 00:12:39,920 --> 00:12:43,880 Speaker 3: better than his white counterparts. And he had to figure 261 00:12:43,880 --> 00:12:46,160 Speaker 3: out this place in the world. And so I sort 262 00:12:46,200 --> 00:12:49,040 Speaker 3: of watched that and that was interesting to me. And 263 00:12:49,080 --> 00:12:52,920 Speaker 3: I always thought about how things were built and how 264 00:12:52,960 --> 00:12:56,120 Speaker 3: they work and what is the reason behind that. So 265 00:12:56,280 --> 00:12:58,840 Speaker 3: I have like problems and relationships because I'm always listening 266 00:12:58,880 --> 00:13:00,480 Speaker 3: to the words that you're not saying, or when you 267 00:13:00,559 --> 00:13:03,880 Speaker 3: say things that seem to me like you're projecting. Is 268 00:13:03,880 --> 00:13:05,440 Speaker 3: that because that's how you really feel? Or is that 269 00:13:05,760 --> 00:13:09,920 Speaker 3: like what is behind that? And so that's that's but 270 00:13:09,920 --> 00:13:12,360 Speaker 3: that that's how I felt and I think also I'm 271 00:13:12,559 --> 00:13:17,240 Speaker 3: also interested in just trying things out. So I'm like, 272 00:13:17,280 --> 00:13:18,800 Speaker 3: okay'm gonna try this out. I'm gonna see what works 273 00:13:18,800 --> 00:13:20,480 Speaker 3: and what doesn't work. And it's like, oh, that worked, 274 00:13:20,520 --> 00:13:22,480 Speaker 3: and that was that was really impactful, so like let's 275 00:13:22,520 --> 00:13:23,400 Speaker 3: build on that. 276 00:13:24,480 --> 00:13:26,080 Speaker 2: So that's sort of how Coolina came to be. 277 00:13:26,160 --> 00:13:27,360 Speaker 3: It was like, okay, like we know how to be 278 00:13:27,400 --> 00:13:29,199 Speaker 3: dieticians and we know how to build insurance and like 279 00:13:29,240 --> 00:13:30,760 Speaker 3: let's just say where are you? This is just like, 280 00:13:30,920 --> 00:13:32,840 Speaker 3: you know, help pay out our student loans and you 281 00:13:32,880 --> 00:13:35,920 Speaker 3: know it'll be fun. And then it got it morphed 282 00:13:35,960 --> 00:13:37,920 Speaker 3: into this do. 283 00:13:37,880 --> 00:13:40,360 Speaker 1: You you haven't. I don't know if it's still true, 284 00:13:40,360 --> 00:13:46,080 Speaker 1: but you have an all all female leadership team. We 285 00:13:46,120 --> 00:13:48,760 Speaker 1: have two men now, so I think the question can 286 00:13:48,800 --> 00:13:52,280 Speaker 1: still be tailored for you. So what had What was 287 00:13:52,559 --> 00:13:56,920 Speaker 1: powerful about that when it was true? 288 00:13:58,280 --> 00:14:01,319 Speaker 3: I think I think that there were members on the 289 00:14:01,440 --> 00:14:04,599 Speaker 3: team that were very. 290 00:14:06,000 --> 00:14:09,680 Speaker 2: Like focus driven, like about the cause, right. 291 00:14:09,720 --> 00:14:11,400 Speaker 3: I thought that that was like okay, like we're gonna 292 00:14:11,400 --> 00:14:14,600 Speaker 3: like lift each other up and that that's very very 293 00:14:14,600 --> 00:14:17,320 Speaker 3: good and we don't have to worry about performing to 294 00:14:17,400 --> 00:14:20,000 Speaker 3: impress a man here because we're we're going to get 295 00:14:20,000 --> 00:14:21,520 Speaker 3: in here and figure this out. And so I think, 296 00:14:21,560 --> 00:14:27,200 Speaker 3: because we've gotten so far with nothing, we bootstrapped this 297 00:14:27,480 --> 00:14:29,120 Speaker 3: tomorrow and I put five thousand dollars in a bank 298 00:14:29,120 --> 00:14:31,080 Speaker 3: account and said, like, let's see what happens. I didn't 299 00:14:31,080 --> 00:14:33,960 Speaker 3: owe anybody any money when VC started geting me money, 300 00:14:34,160 --> 00:14:36,760 Speaker 3: and I was actually profitable when they came in. 301 00:14:36,880 --> 00:14:38,520 Speaker 2: Like it wasn't a huge profit, but I was. 302 00:14:38,680 --> 00:14:42,000 Speaker 3: I was making money, and I was doing things above 303 00:14:42,120 --> 00:14:45,880 Speaker 3: board and so and it was working. And I was like, Okay, great, 304 00:14:45,920 --> 00:14:47,520 Speaker 3: now I'm just going to get a couple of people 305 00:14:47,600 --> 00:14:49,040 Speaker 3: just a little bit smarter than me to help me, 306 00:14:49,080 --> 00:14:51,000 Speaker 3: who maybe have done this before, to help me take 307 00:14:51,000 --> 00:14:54,960 Speaker 3: it to this next place. But I think we were 308 00:14:55,040 --> 00:15:00,080 Speaker 3: all committed to proving that we could get it done 309 00:15:00,600 --> 00:15:03,680 Speaker 3: and that we didn't need like assistance from from a man. 310 00:15:03,800 --> 00:15:05,720 Speaker 3: We could we could figure this out, and we did. 311 00:15:06,880 --> 00:15:08,480 Speaker 3: But I'm much in all girls high school, I have 312 00:15:08,560 --> 00:15:10,080 Speaker 3: like it. I think of things like. 313 00:15:10,040 --> 00:15:14,920 Speaker 1: That, Yeah, how do you personally think about generational wealth? 314 00:15:17,840 --> 00:15:22,640 Speaker 3: I think that it is a tricky thing. I've seen 315 00:15:22,680 --> 00:15:25,720 Speaker 3: a lot of this. I grew up, you know, my 316 00:15:25,800 --> 00:15:27,920 Speaker 3: parents being the immigrants that they are sent me to 317 00:15:27,960 --> 00:15:30,200 Speaker 3: all the fancy schools, and we're like, okay, we send 318 00:15:30,200 --> 00:15:32,680 Speaker 3: you to the fancy schools and then you will be 319 00:15:33,160 --> 00:15:36,680 Speaker 3: you will have the same experience as white people, and 320 00:15:36,720 --> 00:15:38,720 Speaker 3: then white people will treat you the same. 321 00:15:38,920 --> 00:15:39,640 Speaker 2: That was not true. 322 00:15:39,680 --> 00:15:41,760 Speaker 3: So that's where they messed up. I'm doing something different 323 00:15:41,760 --> 00:15:45,840 Speaker 3: from my children. But when I was in no schools, 324 00:15:45,960 --> 00:15:51,840 Speaker 3: I saw wealth's crazy wealth, like like people people getting 325 00:15:51,840 --> 00:15:53,920 Speaker 3: you know, Mercedes done on their sixteenth birthday and crashing 326 00:15:53,920 --> 00:15:55,160 Speaker 3: it that day and then getting a new one and 327 00:15:55,200 --> 00:15:57,360 Speaker 3: like it not matter, It doesn't matter, and they're like wow, 328 00:15:57,400 --> 00:15:58,800 Speaker 3: and like you can call your parents and they'll write 329 00:15:58,840 --> 00:16:01,320 Speaker 3: you a trick and that's really cool. And so and 330 00:16:01,360 --> 00:16:04,200 Speaker 3: I think that, yes, you want to have stuff. You 331 00:16:04,240 --> 00:16:08,640 Speaker 3: want to have enough money that your kids always know 332 00:16:08,760 --> 00:16:11,400 Speaker 3: that if something goes down, the kid gets divorced, the 333 00:16:11,480 --> 00:16:13,040 Speaker 3: kids literally their jobs, something goes down, and they can 334 00:16:13,080 --> 00:16:15,680 Speaker 3: always come to you. But I think also you have 335 00:16:15,760 --> 00:16:17,880 Speaker 3: to remember, like, hey, no, you got to do it 336 00:16:17,920 --> 00:16:21,000 Speaker 3: on your own. And I think that people people are 337 00:16:21,080 --> 00:16:23,760 Speaker 3: always interested in how I talk with my kids and 338 00:16:23,800 --> 00:16:26,520 Speaker 3: how I raise my kids. My kids are like pretty autonomous. 339 00:16:26,520 --> 00:16:28,640 Speaker 3: They're not perfect, they're third channel eleven. My eyes are 340 00:16:28,720 --> 00:16:31,680 Speaker 3: very open. However, they understand the rules of engagement. The 341 00:16:31,720 --> 00:16:34,040 Speaker 3: rules of engagement are this, you have a job. 342 00:16:34,120 --> 00:16:35,960 Speaker 2: I have a job. Your job is you go to school, 343 00:16:36,080 --> 00:16:38,320 Speaker 2: You are kind, you don't get yourself in trouble. You learn. 344 00:16:38,360 --> 00:16:40,960 Speaker 3: If there's something going on and you're having issues learning, 345 00:16:40,960 --> 00:16:41,840 Speaker 3: then I will help you. 346 00:16:42,560 --> 00:16:43,600 Speaker 2: But that is your job. 347 00:16:43,640 --> 00:16:45,880 Speaker 3: And if you can't do your job, then you and 348 00:16:45,920 --> 00:16:48,320 Speaker 3: I are going to be in a problem and you 349 00:16:48,360 --> 00:16:49,920 Speaker 3: are held accountable to something. 350 00:16:50,120 --> 00:16:52,200 Speaker 2: There are standards here you don't get to. 351 00:16:53,760 --> 00:16:56,920 Speaker 3: For example, my daughter, Uh, it's a good student, but 352 00:16:57,000 --> 00:16:59,440 Speaker 3: she's having a tough time in math this year for 353 00:16:59,520 --> 00:17:02,480 Speaker 3: whatever reason. And she had a test some percentages and 354 00:17:02,480 --> 00:17:04,520 Speaker 3: she was literally failing math. And I'm not out here 355 00:17:04,520 --> 00:17:06,680 Speaker 3: brading my kid telling her she's stupid. I'm like getting 356 00:17:06,680 --> 00:17:09,240 Speaker 3: her the hell working with her. She's also in a 357 00:17:09,320 --> 00:17:11,960 Speaker 3: house stand and so I come home. She has you know, 358 00:17:12,080 --> 00:17:13,919 Speaker 3: I only say on Mondays, what are the tests? And 359 00:17:13,960 --> 00:17:15,320 Speaker 3: they tell me, and then it's in my brain and 360 00:17:15,320 --> 00:17:17,480 Speaker 3: then I just keep, you know, mentioning it. But again 361 00:17:17,520 --> 00:17:18,400 Speaker 3: they have to do it on their own. 362 00:17:18,800 --> 00:17:20,640 Speaker 2: And so I come home. 363 00:17:20,480 --> 00:17:22,280 Speaker 3: And I'm like, okay, let's do a couple of problems, 364 00:17:22,280 --> 00:17:24,960 Speaker 3: and she can't do she's not doing them correctly. But 365 00:17:25,040 --> 00:17:26,600 Speaker 3: I'm like, she's like, I'm going to house stand now. 366 00:17:26,640 --> 00:17:29,120 Speaker 3: I'm like, oh, you're not going anywhere, can go anywhere 367 00:17:29,320 --> 00:17:29,919 Speaker 3: you that's. 368 00:17:29,760 --> 00:17:32,480 Speaker 2: Two and a half hours, Please sit here and do this. 369 00:17:32,640 --> 00:17:33,840 Speaker 3: And she I was like, you have a job, and 370 00:17:33,880 --> 00:17:35,359 Speaker 3: she was like, oh, okay, And then she got an 371 00:17:35,359 --> 00:17:37,200 Speaker 3: eighty one, which for her is like getting one hundred 372 00:17:37,200 --> 00:17:40,960 Speaker 3: and one. So like so that shows her and it's 373 00:17:41,000 --> 00:17:42,520 Speaker 3: not like Mommy is not going to bail you out. 374 00:17:42,560 --> 00:17:44,200 Speaker 3: I'm always going to bail you out. Tell me the truth. 375 00:17:44,200 --> 00:17:45,760 Speaker 3: I'm here for you, like all of that stuff, but 376 00:17:45,800 --> 00:17:47,400 Speaker 3: you got to do a lot of stuff on your own. 377 00:17:47,520 --> 00:17:49,159 Speaker 3: And I think that is the same thing with this 378 00:17:49,240 --> 00:17:52,600 Speaker 3: generational wealth, Like yeah, you can get something that's no problem, 379 00:17:52,600 --> 00:17:54,040 Speaker 3: but you're not getting all of it and you have 380 00:17:54,080 --> 00:17:54,440 Speaker 3: to work. 381 00:17:55,160 --> 00:18:00,760 Speaker 1: I love it. I love that it is obvious. Is 382 00:18:00,920 --> 00:18:03,880 Speaker 1: it permeates through you that you're passionate about the work 383 00:18:03,880 --> 00:18:07,040 Speaker 1: that you do, and you know, I would say it 384 00:18:07,080 --> 00:18:10,520 Speaker 1: seems mission aligned for you, and I wonder how you 385 00:18:10,760 --> 00:18:14,840 Speaker 1: balance that mission alignment with a scalable business model and 386 00:18:14,880 --> 00:18:17,200 Speaker 1: the need to build a scalable business model. 387 00:18:18,520 --> 00:18:23,200 Speaker 3: Yeah, I think that that. Yes, our core is how 388 00:18:23,200 --> 00:18:26,639 Speaker 3: do we give access to the ninety nine percent? Great, Okay, 389 00:18:26,760 --> 00:18:29,920 Speaker 3: we're taking insurance, so like that's phase one, and like, okay, great, 390 00:18:29,920 --> 00:18:32,120 Speaker 3: we can go into employers and we've just signed We've 391 00:18:32,119 --> 00:18:34,880 Speaker 3: just signed a bunch of very big contracts that are 392 00:18:34,880 --> 00:18:38,159 Speaker 3: really exciting. And then more people will have access to it. 393 00:18:38,240 --> 00:18:40,960 Speaker 3: Think like one hundred and twenty members that buy on 394 00:18:41,000 --> 00:18:44,240 Speaker 3: the same platform every single day, all everything that they have, right, 395 00:18:44,240 --> 00:18:45,840 Speaker 3: and we we did. 396 00:18:45,640 --> 00:18:47,040 Speaker 2: That and that feels very good. 397 00:18:47,040 --> 00:18:49,400 Speaker 3: That's still an access point for people to come in 398 00:18:49,840 --> 00:18:52,800 Speaker 3: and get our service. And then okay, now there's like 399 00:18:52,840 --> 00:18:55,119 Speaker 3: more of the workforce. Okay, so now we think about 400 00:18:55,160 --> 00:18:56,800 Speaker 3: where do we get the quality people, how do we 401 00:18:56,840 --> 00:18:58,560 Speaker 3: train them, how do we put that all together. So 402 00:18:58,560 --> 00:19:02,960 Speaker 3: we've actually on it slowly so that we know like, okay, 403 00:19:03,040 --> 00:19:06,200 Speaker 3: this is what works, we deliver it this way, here's 404 00:19:06,200 --> 00:19:08,479 Speaker 3: how we put in the automations, and here's how we 405 00:19:08,520 --> 00:19:10,439 Speaker 3: bring more people in, and this is how they have 406 00:19:10,520 --> 00:19:14,640 Speaker 3: to work with us. And yeah, that's not really exciting 407 00:19:14,640 --> 00:19:17,000 Speaker 3: for investors. But you know when all these digital health 408 00:19:17,000 --> 00:19:19,920 Speaker 3: companies go away and we were still here. 409 00:19:20,359 --> 00:19:22,520 Speaker 2: They're like, yeah, you're proudly as. 410 00:19:22,400 --> 00:19:24,840 Speaker 3: The way right, So like I'm actually like not bothered 411 00:19:24,840 --> 00:19:26,480 Speaker 3: by anything. I'm like, I'm running my own race. There 412 00:19:26,480 --> 00:19:29,480 Speaker 3: can be multiple winners at the table. So we're gonna 413 00:19:29,480 --> 00:19:31,600 Speaker 3: do it the way that we can. We're gonna look 414 00:19:31,600 --> 00:19:34,360 Speaker 3: at all the yes, competitors are raising at bigger valuation 415 00:19:34,480 --> 00:19:36,560 Speaker 3: and I'm over here like just maybe a little bit small, 416 00:19:36,560 --> 00:19:39,040 Speaker 3: but I'm getting these contracts and these health systems and 417 00:19:39,080 --> 00:19:41,119 Speaker 3: all these people coming in. So we're all going to 418 00:19:41,160 --> 00:19:44,760 Speaker 3: get there together, and there'll be many different points where 419 00:19:44,840 --> 00:19:48,200 Speaker 3: people can access this service. And my job, my mission 420 00:19:48,240 --> 00:19:50,480 Speaker 3: is also to go speak about that and say like, hey, 421 00:19:50,640 --> 00:19:52,800 Speaker 3: there are different areas for you, like you can do it, 422 00:19:52,840 --> 00:19:55,920 Speaker 3: because I care about people getting market share, and then 423 00:19:55,960 --> 00:19:58,920 Speaker 3: for us, like it's it's coming, it is coming. We're 424 00:19:58,920 --> 00:20:02,399 Speaker 3: doing it, and you know, we grow. We've grown at 425 00:20:02,480 --> 00:20:04,760 Speaker 3: least eighty five percent every single year, and we grow 426 00:20:05,119 --> 00:20:06,920 Speaker 3: at least ten percent month over month. 427 00:20:07,119 --> 00:20:10,520 Speaker 1: It's remarkable. Whodos who knows to you? 428 00:20:11,000 --> 00:20:11,359 Speaker 2: Thanks? 429 00:20:11,720 --> 00:20:16,320 Speaker 1: Yeah, And because I think about the at least my 430 00:20:16,400 --> 00:20:22,560 Speaker 1: awareness of insurance support, payer support for nutrition, you know, 431 00:20:22,720 --> 00:20:25,639 Speaker 1: use in my at least in my acknowledgment of history, 432 00:20:25,720 --> 00:20:27,920 Speaker 1: like they'll pay for the doctor for sure, or the 433 00:20:28,000 --> 00:20:30,959 Speaker 1: best for the hospital for sure, but the preventative stuff 434 00:20:31,119 --> 00:20:35,439 Speaker 1: was which backwards was an afterthought. Can you talk about 435 00:20:35,480 --> 00:20:39,960 Speaker 1: the marketplace shifts that have allowed the room for colleen 436 00:20:40,119 --> 00:20:41,840 Speaker 1: health to grow in scale? 437 00:20:43,200 --> 00:20:46,159 Speaker 3: Yeah, I think you know. Twenty twenty is COVID. It 438 00:20:46,320 --> 00:20:49,520 Speaker 3: was the biggest mental health crisis of our time. A 439 00:20:49,560 --> 00:20:55,600 Speaker 3: lot of money and mentals like headspace was put into 440 00:20:56,080 --> 00:20:58,679 Speaker 3: making sure that people had access to mental health. And 441 00:20:58,680 --> 00:21:01,800 Speaker 3: then it was like, oh, we we can do this 442 00:21:02,760 --> 00:21:05,879 Speaker 3: everywhere else, right, like this this is really great, and 443 00:21:05,920 --> 00:21:10,480 Speaker 3: so like, hey, we already pay for this. Insurance was 444 00:21:11,480 --> 00:21:14,800 Speaker 3: nutrition for care, you know, build by insurance was put 445 00:21:14,840 --> 00:21:16,639 Speaker 3: in Obamacare in two thousand and eight. It was the 446 00:21:16,640 --> 00:21:19,280 Speaker 3: first time that nutrition was built was built in and 447 00:21:19,359 --> 00:21:21,720 Speaker 3: so commercial payers were like, okay, yeah, let's do this. 448 00:21:21,880 --> 00:21:25,600 Speaker 3: And we're now seeing like we've seen right, prevention is 449 00:21:25,600 --> 00:21:27,760 Speaker 3: it like spending more time with the patient? How do 450 00:21:27,840 --> 00:21:30,159 Speaker 3: we do that? How do we coordinate care? This is 451 00:21:30,200 --> 00:21:33,159 Speaker 3: the future. It's gone. This whole idea where like I 452 00:21:33,280 --> 00:21:35,600 Speaker 3: just go to the doctor and they tell me what 453 00:21:35,680 --> 00:21:38,840 Speaker 3: to do, Like, especially for us, that's how we die. 454 00:21:38,880 --> 00:21:41,480 Speaker 3: So that doesn't work. So we we have to be 455 00:21:41,840 --> 00:21:43,680 Speaker 3: we have to be informed. We have to be able 456 00:21:43,720 --> 00:21:45,840 Speaker 3: to ask questions we have and we need to be 457 00:21:45,880 --> 00:21:49,840 Speaker 3: empowered to do that. And when insurance payers started to 458 00:21:49,840 --> 00:21:52,560 Speaker 3: see because we tracked data that and anecdotally they're looking 459 00:21:52,600 --> 00:21:54,880 Speaker 3: for twenty five hundred dollars of cost savings when working 460 00:21:54,880 --> 00:21:56,919 Speaker 3: with a dietician. And we have proof because we've been 461 00:21:56,960 --> 00:22:00,160 Speaker 3: tracking data since the beginning of time of like ten 462 00:22:00,240 --> 00:22:03,240 Speaker 3: thousand dollars of cost savings per patient, which extrapolated out 463 00:22:03,320 --> 00:22:05,679 Speaker 3: is like ten billion dollars in savings. So that's what 464 00:22:05,720 --> 00:22:09,080 Speaker 3: the tayer cares about very much. The health systems very 465 00:22:09,160 --> 00:22:12,040 Speaker 3: much care about making money. So you got to like 466 00:22:12,200 --> 00:22:14,840 Speaker 3: teach them, like talk to them in that regard. But 467 00:22:14,880 --> 00:22:17,600 Speaker 3: I think I think it is very powerful to see, right, 468 00:22:17,680 --> 00:22:21,880 Speaker 3: Like I keep Polina Health keeps less acute patients out 469 00:22:21,880 --> 00:22:24,760 Speaker 3: of physicians' offices because we're tracking the data every single 470 00:22:24,760 --> 00:22:27,480 Speaker 3: week and the patient has lost twenty pounds but is 471 00:22:27,520 --> 00:22:29,880 Speaker 3: on mets Foreman and their A one C is high. 472 00:22:29,920 --> 00:22:31,440 Speaker 3: So I say, I'm going to send the note to 473 00:22:31,480 --> 00:22:33,680 Speaker 3: the doctor, and I send the notes to the doctors 474 00:22:33,680 --> 00:22:36,240 Speaker 3: and then I say, hey, patient has lost twenty pounds, 475 00:22:36,400 --> 00:22:38,360 Speaker 3: A one C is still high. I think they need 476 00:22:38,359 --> 00:22:41,520 Speaker 3: an adjustment of medication for met foreman, and here is 477 00:22:41,680 --> 00:22:44,040 Speaker 3: all the data that we've tracked, and the doctor's like great, 478 00:22:44,280 --> 00:22:47,240 Speaker 3: and they increase the script and then all of a sudden, 479 00:22:47,440 --> 00:22:49,879 Speaker 3: the patient's AEC the blood sugar is going down, and 480 00:22:49,920 --> 00:22:51,399 Speaker 3: then ultimately the A one C is going down and 481 00:22:51,400 --> 00:22:54,359 Speaker 3: it's like okay, great, also perfect, this is what we want. 482 00:22:54,640 --> 00:22:56,000 Speaker 2: And we are making. 483 00:22:55,720 --> 00:22:58,840 Speaker 3: Sure that patients check in with their primary care physicians 484 00:22:59,600 --> 00:23:02,159 Speaker 3: more than just once a year. Because you come to 485 00:23:02,240 --> 00:23:05,120 Speaker 3: us and you want to lower a lab value, well 486 00:23:05,119 --> 00:23:07,320 Speaker 3: I don't. I can't write an order for you to 487 00:23:07,320 --> 00:23:09,119 Speaker 3: get labs. So you can go back and see your 488 00:23:09,119 --> 00:23:10,840 Speaker 3: doctor and then you can talk to your doctor and 489 00:23:10,840 --> 00:23:12,920 Speaker 3: then they'll send you back to us. And so then 490 00:23:13,200 --> 00:23:15,840 Speaker 3: that's how people get paid, and that's how people get 491 00:23:15,840 --> 00:23:20,919 Speaker 3: better care. And it makes sense. So it's this education piece, 492 00:23:21,040 --> 00:23:23,320 Speaker 3: right is that people? Because you just keep seeing on 493 00:23:23,840 --> 00:23:25,439 Speaker 3: you know, on the internet, you're like, oh, I have 494 00:23:25,480 --> 00:23:29,199 Speaker 3: to buy this digital course for metabolic health and lowering 495 00:23:29,200 --> 00:23:31,920 Speaker 3: my cortisol and I'm gonna read this and it's gonna work. 496 00:23:31,960 --> 00:23:33,280 Speaker 3: And it's like you don't have to do that. You 497 00:23:33,280 --> 00:23:36,040 Speaker 3: can just use your insurance. I promise probably have twenty 498 00:23:36,040 --> 00:23:39,480 Speaker 3: six sessions and like maybe a twenty dollars copae maybe. 499 00:23:39,320 --> 00:23:44,359 Speaker 1: Yeah, yeah, what is in your EDC your everyday carry? 500 00:23:44,440 --> 00:23:49,320 Speaker 1: You are a healthcare nutrition CEO, and I'm sure you 501 00:23:49,359 --> 00:23:52,520 Speaker 1: have something that you need before you leave the house, 502 00:23:52,560 --> 00:23:56,000 Speaker 1: the apartment, the condo, the brownstone, wherever you at. What 503 00:23:56,040 --> 00:23:58,639 Speaker 1: do you need daily just to make life happen. 504 00:24:00,119 --> 00:24:04,960 Speaker 3: Actually have to write everything down in my head when 505 00:24:05,000 --> 00:24:06,840 Speaker 3: I wake up, and I have to write it down 506 00:24:06,880 --> 00:24:09,000 Speaker 3: before I go to sleep. And then that quiets the noise, 507 00:24:09,400 --> 00:24:12,040 Speaker 3: and that allows me to be more strategic. It allows 508 00:24:12,040 --> 00:24:17,879 Speaker 3: me to be less reactive. It allows me to listen 509 00:24:17,920 --> 00:24:23,880 Speaker 3: to myself and to look to myself to be validated and. 510 00:24:23,720 --> 00:24:27,440 Speaker 2: Not outside and so like that that is the thing. 511 00:24:27,440 --> 00:24:28,840 Speaker 3: And then like all the other things, right, like you know, 512 00:24:29,240 --> 00:24:30,879 Speaker 3: I exercise every day and if I don't need a 513 00:24:30,960 --> 00:24:32,760 Speaker 3: vegetable twice a day, I feel guilty. 514 00:24:32,560 --> 00:24:32,960 Speaker 2: Kind of thing. 515 00:24:34,000 --> 00:24:37,960 Speaker 3: But that's but that stuff, that stuff doesn't really matter 516 00:24:37,960 --> 00:24:39,440 Speaker 3: because I do that, I don't drink out the hall 517 00:24:39,480 --> 00:24:41,359 Speaker 3: and I still got cancer in twenty twenty three, So 518 00:24:41,440 --> 00:24:45,119 Speaker 3: like that's not it. It's the taking the time to 519 00:24:45,280 --> 00:24:50,080 Speaker 3: think through you know who your authentic self is. 520 00:24:50,240 --> 00:24:52,800 Speaker 2: And like how can you live like that? 521 00:24:53,200 --> 00:24:56,080 Speaker 3: And so for me, it is very much therapeutic to 522 00:24:56,200 --> 00:24:58,239 Speaker 3: like write down all of my feelings and look at 523 00:24:58,240 --> 00:24:59,440 Speaker 3: them and then I don't feel like I have to 524 00:24:59,480 --> 00:25:00,920 Speaker 3: be so react if it's so compulsive. 525 00:25:01,200 --> 00:25:03,359 Speaker 1: So this is not just like a list of to do. 526 00:25:03,560 --> 00:25:04,480 Speaker 1: This is a journal. 527 00:25:04,960 --> 00:25:06,959 Speaker 3: This is yeah, because like what's in my brain today. 528 00:25:07,280 --> 00:25:10,800 Speaker 3: I feel this mm hm. I feel this because of this, 529 00:25:10,880 --> 00:25:12,159 Speaker 3: and this is how I'm looking at it, and this 530 00:25:12,240 --> 00:25:14,480 Speaker 3: is and I just write and I don't necessarily go 531 00:25:14,560 --> 00:25:16,800 Speaker 3: back and like reread it. I just get it out 532 00:25:16,800 --> 00:25:19,159 Speaker 3: of my brain. Yeah, so it doesn't spill out and 533 00:25:19,200 --> 00:25:21,480 Speaker 3: affect you when we're having dinner. Yeah. 534 00:25:21,680 --> 00:25:26,679 Speaker 1: Yeah. How do you think about Vanessa's voice? I mean, 535 00:25:26,720 --> 00:25:30,639 Speaker 1: you're on these big platforms and people listen to what 536 00:25:30,680 --> 00:25:34,560 Speaker 1: you have to say, and how do you when you 537 00:25:34,560 --> 00:25:36,879 Speaker 1: you talked about, you know, your journaling, so you're getting 538 00:25:36,960 --> 00:25:38,959 Speaker 1: at the junk out or the good stuff out. You 539 00:25:39,000 --> 00:25:41,359 Speaker 1: need it all out, so you're not giving them things 540 00:25:41,359 --> 00:25:43,880 Speaker 1: that you don't want to. But how do you consider 541 00:25:44,080 --> 00:25:46,240 Speaker 1: your voice and the platforms that you have? 542 00:25:47,400 --> 00:25:52,160 Speaker 3: It seems because I am committed to telling the truth 543 00:25:52,280 --> 00:25:57,880 Speaker 3: and like not changing how I deliver the message I. 544 00:25:57,960 --> 00:25:59,400 Speaker 2: Just this is how I talk. 545 00:25:59,480 --> 00:26:02,280 Speaker 3: I talk like to my kids and no, Like you know, 546 00:26:02,320 --> 00:26:04,200 Speaker 3: sometimes people like it seems like you have a tone. 547 00:26:04,359 --> 00:26:06,080 Speaker 3: I'm like, I actually don't have a tone at all. 548 00:26:06,560 --> 00:26:09,880 Speaker 3: I'm very clear and directed and I've spent a lot 549 00:26:09,920 --> 00:26:12,760 Speaker 3: of my life trying to make people feel comfortable, and 550 00:26:12,840 --> 00:26:15,520 Speaker 3: so it's not a tone. It's me being really clear 551 00:26:15,560 --> 00:26:17,680 Speaker 3: and direct and not wavering from what's in my head 552 00:26:17,920 --> 00:26:20,320 Speaker 3: because I'm not here to make other people comfortable. 553 00:26:20,960 --> 00:26:22,639 Speaker 2: And if you don't like the way that I'm saying it, 554 00:26:22,640 --> 00:26:26,200 Speaker 2: then you're I'm not for you, and that's okay, that's okay. 555 00:26:26,880 --> 00:26:29,520 Speaker 3: So I think that's that's it, right. It is like 556 00:26:29,640 --> 00:26:34,080 Speaker 3: just staying true to myself. And then I think people 557 00:26:34,160 --> 00:26:36,000 Speaker 3: see that and they're just like, hey, I like that. 558 00:26:36,600 --> 00:26:36,840 Speaker 2: It does. 559 00:26:36,960 --> 00:26:39,159 Speaker 3: It feels like it's real, it's not BS, and so like, 560 00:26:39,320 --> 00:26:41,800 Speaker 3: I want to listen to more. And I think that's 561 00:26:41,840 --> 00:26:43,160 Speaker 3: how I probably have gotten this far. 562 00:26:44,119 --> 00:26:47,359 Speaker 1: How have you learned how to lead a staff a 563 00:26:47,400 --> 00:26:49,520 Speaker 1: team of people? Like, there's one thing again to be 564 00:26:49,560 --> 00:26:53,520 Speaker 1: trained to be you know in healthcare, it's another thing 565 00:26:53,520 --> 00:26:55,480 Speaker 1: to learn how to lead as a CEO. 566 00:26:56,240 --> 00:26:58,919 Speaker 3: M Yeah, Like I think first of all, you know, 567 00:26:58,960 --> 00:27:00,679 Speaker 3: in the beginning, when you have a star, you're in 568 00:27:00,920 --> 00:27:03,480 Speaker 3: all of the shit all of the time, and then 569 00:27:03,720 --> 00:27:06,919 Speaker 3: you have to come out because you have to do 570 00:27:06,960 --> 00:27:10,320 Speaker 3: other things. Right, Like my job mostly is you know, 571 00:27:10,400 --> 00:27:12,680 Speaker 3: talking the mission and vision of Polina and a lot 572 00:27:12,680 --> 00:27:15,880 Speaker 3: of fundraising. So you have to be very comfortable with 573 00:27:17,080 --> 00:27:22,159 Speaker 3: not not knowing, not being in the weeds, right, you 574 00:27:22,200 --> 00:27:23,320 Speaker 3: have to be very comfortable in it. Or you have 575 00:27:23,320 --> 00:27:25,639 Speaker 3: to trust the people around you that they understand that 576 00:27:25,680 --> 00:27:28,199 Speaker 3: everybody has a job to do. You're doing your job, 577 00:27:28,240 --> 00:27:30,200 Speaker 3: and they're doing their job, and they're going to inform 578 00:27:30,240 --> 00:27:32,000 Speaker 3: you and protect you and make sure that when you 579 00:27:32,000 --> 00:27:33,560 Speaker 3: go out to talk the vision of the mission you 580 00:27:33,840 --> 00:27:37,840 Speaker 3: are very clear on that. And so that's the thing. 581 00:27:37,880 --> 00:27:41,120 Speaker 3: And there's like there's this ego part like like hi, guys, 582 00:27:41,200 --> 00:27:42,879 Speaker 3: I'm a black woman, and so if I don't know 583 00:27:42,920 --> 00:27:44,480 Speaker 3: every single piece and I'm not in all of it 584 00:27:44,520 --> 00:27:46,119 Speaker 3: and I'm not controlling all of it, then what are 585 00:27:46,160 --> 00:27:47,840 Speaker 3: people going to think of me and what is happening? 586 00:27:47,880 --> 00:27:50,480 Speaker 3: So like there's all of that that lives there too, right, 587 00:27:50,920 --> 00:27:54,440 Speaker 3: And then also like the trust, like I trust you. 588 00:27:54,560 --> 00:27:58,000 Speaker 3: I presume you've done this before. That's why you're sitting here, 589 00:27:58,280 --> 00:28:00,800 Speaker 3: and I know that I've given you a directive. I'm 590 00:28:00,880 --> 00:28:03,920 Speaker 3: very clear. I think being clear is being kind. Someone 591 00:28:03,920 --> 00:28:06,440 Speaker 3: told me that once, and so I'm clear on it, 592 00:28:06,680 --> 00:28:09,199 Speaker 3: and you're gonna go execute. And I'm I'm really not 593 00:28:09,280 --> 00:28:13,160 Speaker 3: gonna be like telling you what to do every single 594 00:28:13,240 --> 00:28:15,040 Speaker 3: minute of the day, but I'm gonna be really watching 595 00:28:15,119 --> 00:28:18,199 Speaker 3: very closely, and I'm gonna I'm gonna just drop the 596 00:28:18,240 --> 00:28:20,720 Speaker 3: things they Have you thought about this, have you done this? 597 00:28:21,240 --> 00:28:23,880 Speaker 3: And then as time goes on, if I see like, okay, hey, 598 00:28:24,040 --> 00:28:25,760 Speaker 3: like it's not happening, well, then you and I have 599 00:28:25,760 --> 00:28:29,800 Speaker 3: to have a different conversation. But this micromanaging thing or 600 00:28:29,840 --> 00:28:30,880 Speaker 3: whatever is, that's. 601 00:28:30,680 --> 00:28:32,440 Speaker 2: Not That's not how I lead. 602 00:28:32,520 --> 00:28:35,040 Speaker 3: I want people to feel like they are supported and 603 00:28:35,040 --> 00:28:37,560 Speaker 3: they can come to me. And I do understand a 604 00:28:37,600 --> 00:28:39,760 Speaker 3: lot of what's happening in the day to day, but 605 00:28:40,040 --> 00:28:42,600 Speaker 3: that's not that's not where I excel. But if you 606 00:28:42,720 --> 00:28:44,680 Speaker 3: need me to in here to do something for you, 607 00:28:44,800 --> 00:28:46,560 Speaker 3: then I can. And you you know that. It's like 608 00:28:46,600 --> 00:28:48,320 Speaker 3: my kids, you need me to be interview, I'm moving 609 00:28:48,320 --> 00:28:50,320 Speaker 3: for you to tell me, but you got to handle 610 00:28:50,360 --> 00:28:51,520 Speaker 3: your life, handle your business. 611 00:28:52,640 --> 00:28:54,920 Speaker 1: Yeah, and and doing research all this and learning a 612 00:28:54,920 --> 00:28:58,800 Speaker 1: lot about you. I've seen how you are very adamant 613 00:28:58,840 --> 00:29:01,479 Speaker 1: about me. We need more people of color in this space, 614 00:29:01,600 --> 00:29:04,840 Speaker 1: and more black diets 'sues, more black people in healthcare 615 00:29:04,880 --> 00:29:08,000 Speaker 1: working and not just taking advantage of the services. And 616 00:29:08,440 --> 00:29:12,000 Speaker 1: in that same vein like, how do you think we 617 00:29:12,120 --> 00:29:15,600 Speaker 1: as black technologists, black people trying to start our businesses, 618 00:29:15,720 --> 00:29:19,280 Speaker 1: black career minded people and professionals, how should we be 619 00:29:19,400 --> 00:29:23,600 Speaker 1: looking at healthcare and wellness and nutrition as a space 620 00:29:24,280 --> 00:29:27,360 Speaker 1: for us not only again to get services, but to 621 00:29:27,440 --> 00:29:29,760 Speaker 1: contribute and make sure we change the narrative. 622 00:29:30,680 --> 00:29:34,920 Speaker 3: Yeah, I think some of it is on the governing bodies. 623 00:29:34,960 --> 00:29:37,160 Speaker 3: So like, for example, the barrier to become a regisry 624 00:29:37,200 --> 00:29:40,520 Speaker 3: didition is really high, and many dietitians are hundreds of 625 00:29:40,560 --> 00:29:42,880 Speaker 3: thousands of dollars in debt and they're not going to 626 00:29:42,960 --> 00:29:46,800 Speaker 3: recoup that money very easily. And if I have acumened 627 00:29:46,840 --> 00:29:49,080 Speaker 3: for sciences, am I going to go be a registered 628 00:29:49,120 --> 00:29:51,920 Speaker 3: dietitian or am I going to go be a pastic surgeon? 629 00:29:53,200 --> 00:29:57,040 Speaker 3: So that there's that piece, So the governing body needs 630 00:29:57,080 --> 00:30:00,640 Speaker 3: to do something. We at Kulina are doing our part right. 631 00:30:00,680 --> 00:30:04,160 Speaker 3: We have ninety percent of registered dietitians or white women. 632 00:30:04,440 --> 00:30:07,440 Speaker 3: Only forty four percent of our dietitians identify as white. 633 00:30:07,560 --> 00:30:13,160 Speaker 3: We are very deliberate about that. We have cultural humility 634 00:30:13,240 --> 00:30:18,280 Speaker 3: training at a regular cadence. We are very focused on 635 00:30:18,600 --> 00:30:23,920 Speaker 3: having diverse patients and diverse data sets. So that's that is, 636 00:30:24,200 --> 00:30:27,880 Speaker 3: that is not But I think also like VC needs 637 00:30:27,920 --> 00:30:33,920 Speaker 3: to invest in in this more and not the pattern 638 00:30:34,000 --> 00:30:36,960 Speaker 3: match like bro that saw a white space like doesn't 639 00:30:36,960 --> 00:30:40,240 Speaker 3: have there are other group practices right that like, so, 640 00:30:40,560 --> 00:30:42,720 Speaker 3: but come in and give me money, right, give me 641 00:30:42,840 --> 00:30:45,960 Speaker 3: money and then help me move forward so that. 642 00:30:46,280 --> 00:30:48,680 Speaker 2: I can help more people of color. Right, Like, if 643 00:30:48,720 --> 00:30:49,640 Speaker 2: you think about there are. 644 00:30:49,560 --> 00:30:53,400 Speaker 3: Three hundred million Americans, there are only eleven million Black 645 00:30:53,440 --> 00:30:57,840 Speaker 3: women eleven point two million. But we know that our 646 00:30:57,840 --> 00:31:02,160 Speaker 3: birth rate is happened, So what's happening here? Yeah, well, 647 00:31:02,680 --> 00:31:04,200 Speaker 3: and why are you also freaked out? 648 00:31:04,320 --> 00:31:06,000 Speaker 2: Like relaxed? We do. It's not even that many of us. 649 00:31:06,000 --> 00:31:09,200 Speaker 3: Everybody calmed down, So like that that is something then 650 00:31:09,440 --> 00:31:11,280 Speaker 3: that we should be putting dollars behind. 651 00:31:11,360 --> 00:31:12,280 Speaker 2: What are you doing? 652 00:31:12,360 --> 00:31:15,960 Speaker 3: It's it's when I got breast cancer. Right, White women 653 00:31:16,000 --> 00:31:19,880 Speaker 3: are diagnosed with breast cancer double black women, but black 654 00:31:19,920 --> 00:31:22,600 Speaker 3: women have a higher mortality because they do not finish 655 00:31:22,680 --> 00:31:24,400 Speaker 3: treatment a lot of times because they don't feel seen 656 00:31:24,440 --> 00:31:26,280 Speaker 3: and heard by their physicians. 657 00:31:27,040 --> 00:31:28,640 Speaker 2: I got the. 658 00:31:28,520 --> 00:31:32,640 Speaker 3: Most excellent care at Mount Siny Hospital because I had 659 00:31:32,680 --> 00:31:35,080 Speaker 3: I have an excellent surgeon and an excellent oncologist, and 660 00:31:35,120 --> 00:31:39,880 Speaker 3: excellent friends and an excellent, excellent radialdiation doctor. But I 661 00:31:39,960 --> 00:31:42,320 Speaker 3: also work there, and all those people are my friends, 662 00:31:42,760 --> 00:31:49,000 Speaker 3: and I leveraged every single thing, every friend I ever met. 663 00:31:49,000 --> 00:31:50,800 Speaker 3: I was like, oh no, I'm not waiting three months 664 00:31:50,840 --> 00:31:52,360 Speaker 3: to get a biopsy. I need one in two days. 665 00:31:52,360 --> 00:31:53,080 Speaker 3: Who was getting it for me? 666 00:31:53,280 --> 00:31:53,360 Speaker 2: Like? 667 00:31:53,400 --> 00:31:55,239 Speaker 3: Oh, I mean when the guy called me to tell 668 00:31:55,280 --> 00:31:56,800 Speaker 3: me that I had cancer, he was like, I also 669 00:31:56,960 --> 00:31:59,400 Speaker 3: called your ob and he was he stopped a plane 670 00:31:59,400 --> 00:32:02,200 Speaker 3: that he was born, and we've made an appointment. 671 00:32:01,600 --> 00:32:04,240 Speaker 2: For you for this surgeon. You're going on Friday at 672 00:32:04,240 --> 00:32:04,800 Speaker 2: two o'clock. 673 00:32:05,000 --> 00:32:08,800 Speaker 3: Right. That's what I'm doing and my team is doing 674 00:32:09,200 --> 00:32:13,560 Speaker 3: for everyone. And so when people of color come in, 675 00:32:14,000 --> 00:32:17,880 Speaker 3: my favorite patients who were vegan and the ae C 676 00:32:18,160 --> 00:32:20,000 Speaker 3: was like thirteen, and I was like this isn't it? 677 00:32:20,280 --> 00:32:22,480 Speaker 3: Like okay, like here it is, and that guy's like, 678 00:32:22,960 --> 00:32:24,600 Speaker 3: oh my al and C is five point seven. And 679 00:32:24,600 --> 00:32:27,360 Speaker 3: I'm gonna walk my daughters down the aisle, and I'm like, yep, 680 00:32:27,760 --> 00:32:30,640 Speaker 3: that's it. So like that is what we're doing. That 681 00:32:30,720 --> 00:32:33,040 Speaker 3: is what I'm doing. I don't Yeah, we all care 682 00:32:33,080 --> 00:32:34,840 Speaker 3: about money, because you know, I don't want to work 683 00:32:34,880 --> 00:32:35,760 Speaker 3: for the rest of my life. 684 00:32:35,800 --> 00:32:36,240 Speaker 2: I got that. 685 00:32:36,440 --> 00:32:39,440 Speaker 3: But like, I want people to be well and feeling 686 00:32:39,440 --> 00:32:43,480 Speaker 3: empowered and feel that they have value even when they 687 00:32:43,520 --> 00:32:46,240 Speaker 3: don't have a lot, and even when they don't understand 688 00:32:46,280 --> 00:32:50,120 Speaker 3: a lot, and they're not afraid to go to clinicians 689 00:32:50,120 --> 00:32:53,000 Speaker 3: that don't look like them. I want to do that 690 00:32:53,120 --> 00:32:56,280 Speaker 3: for them. I want and we teach people how to 691 00:32:56,320 --> 00:32:57,760 Speaker 3: do that. Right, Like you go and talk to the doctor, 692 00:32:57,760 --> 00:33:00,480 Speaker 3: and you're talking to the doctor with like very clearly, 693 00:33:01,040 --> 00:33:04,040 Speaker 3: with data in front of you. Doctor can't refute data. 694 00:33:04,040 --> 00:33:05,840 Speaker 3: They're not going to because it's right there and so 695 00:33:06,000 --> 00:33:08,560 Speaker 3: and so. Then you're you're coming from a position of power. 696 00:33:08,600 --> 00:33:11,760 Speaker 3: And also doctors are just practicing medicine. Don't ever forget that. 697 00:33:12,240 --> 00:33:13,840 Speaker 3: So go ask her all your questions. 698 00:33:15,040 --> 00:33:18,520 Speaker 1: Finally, what's the best piece of advice you've ever received 699 00:33:18,560 --> 00:33:23,880 Speaker 1: about buildings home from the ground up or that you 700 00:33:23,960 --> 00:33:25,760 Speaker 1: have for buildings coround. 701 00:33:26,240 --> 00:33:30,080 Speaker 3: I think it's like, hey, you've ever done this before, 702 00:33:31,080 --> 00:33:35,479 Speaker 3: You've gotten pretty far. Keep going and it's okay. If 703 00:33:35,480 --> 00:33:39,120 Speaker 3: it doesn't work, try something else. Just try something else. 704 00:33:39,160 --> 00:33:41,920 Speaker 3: You're doing more than ninety nine percent of the population. 705 00:33:42,040 --> 00:33:47,040 Speaker 3: I think it's very easy to look at this and 706 00:33:47,080 --> 00:33:50,080 Speaker 3: think that it's glamorous and it's sexy and it's so fun, 707 00:33:50,120 --> 00:33:51,200 Speaker 3: and like that's not the case. 708 00:33:51,200 --> 00:33:52,240 Speaker 2: And I also don't think that. 709 00:33:52,240 --> 00:33:53,960 Speaker 3: Going to work and getting a paycheck is a planaras 710 00:33:54,080 --> 00:33:58,240 Speaker 3: seeing fun right crisis all the time, everyone's doing hard 711 00:33:58,280 --> 00:34:00,360 Speaker 3: work right, stay at home mom is doing hard work. 712 00:34:00,480 --> 00:34:02,480 Speaker 3: Mama goes to work and doing hard work. And I 713 00:34:02,480 --> 00:34:04,920 Speaker 3: think I think that the thing that I have learned 714 00:34:04,960 --> 00:34:08,040 Speaker 3: is this, You're not unique. You're actually part of a collective. 715 00:34:09,480 --> 00:34:11,279 Speaker 3: You're all part of a collective. If you've got that 716 00:34:11,400 --> 00:34:16,760 Speaker 3: in your brain now and understood that most people feel 717 00:34:17,280 --> 00:34:19,480 Speaker 3: the weight of the world and it feels heavy and 718 00:34:19,520 --> 00:34:22,040 Speaker 3: they're struggling with things, and you gave more people grace, 719 00:34:22,080 --> 00:34:22,919 Speaker 3: you probably get farther. 720 00:34:24,080 --> 00:34:26,520 Speaker 1: Black Tech Green Money is a production to Blavity Afro 721 00:34:26,640 --> 00:34:29,520 Speaker 1: Tech on the Black Effect podcast network in Nightheart Media 722 00:34:29,760 --> 00:34:32,880 Speaker 1: is produced by Morgan Debaun and me Well Lucas with 723 00:34:32,960 --> 00:34:36,000 Speaker 1: the addigital Production support by Kate McDonald, Sayah Ergan, and 724 00:34:36,080 --> 00:34:39,080 Speaker 1: Jayda McGee. Special thank you to Michael Davis in Love Beach. 725 00:34:39,400 --> 00:34:41,239 Speaker 1: Learn more about my Guessing Other Tech. This shop is 726 00:34:41,239 --> 00:34:44,480 Speaker 1: an innovatives at afrotech dot com. The video version this 727 00:34:44,560 --> 00:34:47,000 Speaker 1: episode will drop to Black Tech Green Money on YouTube, 728 00:34:47,040 --> 00:34:49,439 Speaker 1: so well tap it in enjoy your Black Tech Green 729 00:34:49,440 --> 00:34:53,600 Speaker 1: Money shit us to somebody, go get your money. He's 730 00:34:53,680 --> 00:34:54,000 Speaker 1: in love