1 00:00:16,040 --> 00:00:20,360 Speaker 1: Hey, hey, hey, we're back. We're brown. 2 00:00:21,280 --> 00:00:23,639 Speaker 2: Hey, mandra, hey to how's it going. 3 00:00:24,280 --> 00:00:27,640 Speaker 1: It's going excellent? Actually, well, I mean I don't know. 4 00:00:27,680 --> 00:00:29,200 Speaker 3: I'm in a good mood even though, like you know, 5 00:00:30,000 --> 00:00:31,200 Speaker 3: everything's falling down. 6 00:00:31,200 --> 00:00:32,760 Speaker 1: But you know, hey, I mean I'm alive. 7 00:00:33,040 --> 00:00:35,680 Speaker 2: You did the whole. Don't tell the universe it's going good. 8 00:00:38,360 --> 00:00:39,800 Speaker 1: No, I don't know. I am in a good mood. 9 00:00:39,840 --> 00:00:42,080 Speaker 1: Maybe today. I had a good nap today. 10 00:00:42,080 --> 00:00:44,440 Speaker 3: So when I've got a good nap day, you know, 11 00:00:44,440 --> 00:00:45,560 Speaker 3: I feel like I could take on the world. 12 00:00:45,640 --> 00:00:46,600 Speaker 1: And oh, I've got the tub. 13 00:00:47,360 --> 00:00:50,560 Speaker 2: Oh well, it's the little things, isn't it. 14 00:00:50,840 --> 00:00:53,160 Speaker 3: Because it's hard because you know, Superman is sixty six, 15 00:00:53,240 --> 00:00:58,400 Speaker 3: so my plumbing starts soon and my contractors like, you 16 00:00:58,440 --> 00:01:00,600 Speaker 3: really need to find a tub. And I didn't want 17 00:01:00,600 --> 00:01:02,240 Speaker 3: a tub that was gonna like because our bathroom is 18 00:01:02,280 --> 00:01:04,319 Speaker 3: a good signe but it's not a huge bathroom. But 19 00:01:04,400 --> 00:01:07,200 Speaker 3: I wanted to stand alone tub and to find one 20 00:01:07,200 --> 00:01:10,160 Speaker 3: that could fit him but not also like dwarf the bathroom. 21 00:01:10,200 --> 00:01:11,680 Speaker 1: So we found one and it's really great. 22 00:01:11,720 --> 00:01:14,319 Speaker 3: And people tell you to stay away from acrylic because 23 00:01:14,319 --> 00:01:16,160 Speaker 3: the krylic cracks and there's just so many things to 24 00:01:16,240 --> 00:01:18,559 Speaker 3: learn so we got a stone stone resin tub. 25 00:01:18,600 --> 00:01:19,319 Speaker 1: Have you heard of those? 26 00:01:19,760 --> 00:01:24,840 Speaker 2: I did not choose our tub, but yikes, I do 27 00:01:24,959 --> 00:01:27,440 Speaker 2: know about Like there's different floor materials. I don't know. 28 00:01:27,440 --> 00:01:29,160 Speaker 2: I woke up in a cold sweat. This is what happens. 29 00:01:29,200 --> 00:01:30,600 Speaker 2: I woke up in a cold sweat, and I was like, 30 00:01:30,640 --> 00:01:33,920 Speaker 2: our bathroom floor tile is too slippery. We're gonna break 31 00:01:33,920 --> 00:01:36,000 Speaker 2: an elbow. Like we're gonna slip. We're gonna break an elbow. 32 00:01:36,000 --> 00:01:38,000 Speaker 2: It's gonna be a whole thing. It's like my fear 33 00:01:38,120 --> 00:01:40,360 Speaker 2: is falling into like slipping in the bathroom, you know. 34 00:01:40,400 --> 00:01:42,480 Speaker 2: And I'm like it's too slippery and it's too late 35 00:01:42,480 --> 00:01:44,880 Speaker 2: because it's been delivered. I mean, I got over it, 36 00:01:45,200 --> 00:01:47,480 Speaker 2: but I'm definitely at the stage where it you make 37 00:01:47,520 --> 00:01:49,720 Speaker 2: all these decisions. But the thing is, the project takes 38 00:01:49,720 --> 00:01:51,760 Speaker 2: so long and you have so much time to like 39 00:01:51,800 --> 00:01:55,480 Speaker 2: second guess yourself, which is the it's killing me. I'm like, wait, 40 00:01:55,480 --> 00:01:58,600 Speaker 2: did we choose to fright shower tile? Like we really 41 00:01:58,720 --> 00:02:00,920 Speaker 2: do we really need? Do we really need two windows there? 42 00:02:00,920 --> 00:02:04,240 Speaker 2: But they're already put in the walls. Like it's you know, it. 43 00:02:04,120 --> 00:02:06,880 Speaker 3: Is it is very very near racking because it's definitely, 44 00:02:06,920 --> 00:02:09,160 Speaker 3: like especially when it comes down to doing like the 45 00:02:09,200 --> 00:02:10,639 Speaker 3: big things, like cause framing is. 46 00:02:10,639 --> 00:02:12,720 Speaker 1: Pretty easy because literally you can be like, you know what, 47 00:02:12,800 --> 00:02:13,560 Speaker 1: I changed my mind. 48 00:02:13,600 --> 00:02:15,280 Speaker 3: I want it to be a little bit bigger, and 49 00:02:15,280 --> 00:02:16,960 Speaker 3: they can take down the wood and put it back up. 50 00:02:17,200 --> 00:02:20,720 Speaker 3: But like plumbing and electric, it's like, oh we're here now. 51 00:02:21,080 --> 00:02:23,679 Speaker 2: Yeah, they're starting to patch up walls now, so it's 52 00:02:23,680 --> 00:02:26,840 Speaker 2: getting real serious. We did, we did have our We 53 00:02:26,919 --> 00:02:29,960 Speaker 2: haven't had too many like oh god, we found this 54 00:02:30,040 --> 00:02:31,639 Speaker 2: and now it's going to cost you know, so much 55 00:02:31,639 --> 00:02:34,079 Speaker 2: more money to fix it. We haven't really had any 56 00:02:34,120 --> 00:02:37,400 Speaker 2: of those experiences, but we had. So we have a 57 00:02:37,480 --> 00:02:40,840 Speaker 2: deck that we are expanding and I noticed there was 58 00:02:40,880 --> 00:02:42,799 Speaker 2: this big patch that I was seeing because you could 59 00:02:42,800 --> 00:02:45,440 Speaker 2: see the bottom of the deck through our kitchen ceiling now, 60 00:02:45,880 --> 00:02:47,880 Speaker 2: and I noticed this big patch of like dark rotted 61 00:02:47,919 --> 00:02:49,760 Speaker 2: wood and I was like, oh, snap, what is that? 62 00:02:49,840 --> 00:02:51,760 Speaker 2: And it turned out to be a leak And it's 63 00:02:51,800 --> 00:02:54,680 Speaker 2: going to cost us fifteen hundred dollars extra just to 64 00:02:54,720 --> 00:02:57,680 Speaker 2: patch this little like two foot by two foot section 65 00:02:57,760 --> 00:03:00,920 Speaker 2: of our deck, which which sucks, but honestly, I mean 66 00:03:01,040 --> 00:03:04,200 Speaker 2: still knock on food because anything could happen. But we'll 67 00:03:04,200 --> 00:03:07,280 Speaker 2: have to dip into our contingency fund for that, which 68 00:03:07,320 --> 00:03:09,080 Speaker 2: makes me kind of I feel like we started dipping 69 00:03:09,120 --> 00:03:12,400 Speaker 2: into our contingency fund for things that weren't quite contingencies, 70 00:03:12,440 --> 00:03:17,320 Speaker 2: but more like I really would like a central light fixture. 71 00:03:17,440 --> 00:03:19,360 Speaker 2: Let's add that to the electrical plan. 72 00:03:19,680 --> 00:03:19,920 Speaker 1: Hmm. 73 00:03:20,760 --> 00:03:22,640 Speaker 3: I know exactly what you mean, but like, we've had 74 00:03:22,760 --> 00:03:28,280 Speaker 3: like contingency fund things where I'm like, so we're definitely 75 00:03:28,520 --> 00:03:31,200 Speaker 3: using We probably use about half our contingency fund already. 76 00:03:31,960 --> 00:03:35,280 Speaker 3: I'm just like, I'm hoping because everything's open, so I'm like, well, 77 00:03:35,320 --> 00:03:36,320 Speaker 3: we should be good now. 78 00:03:36,240 --> 00:03:38,200 Speaker 1: Right, because we've already seen everything. 79 00:03:38,240 --> 00:03:40,920 Speaker 3: And then at one point the boiler wasn't working, but 80 00:03:41,040 --> 00:03:44,760 Speaker 3: now it is, so I think we're we're rocking around 81 00:03:44,880 --> 00:03:46,840 Speaker 3: in My sister's already, like, so can I move in? 82 00:03:46,880 --> 00:03:49,480 Speaker 3: I'm like, we're not even finished renovating it, and you 83 00:03:49,480 --> 00:03:50,840 Speaker 3: already want to take this ver bed and. 84 00:03:50,800 --> 00:03:56,480 Speaker 1: She's like, I want to work on my dreams. It 85 00:03:56,480 --> 00:03:58,280 Speaker 1: looks like we already have a roommate. But yeah, the 86 00:03:58,320 --> 00:04:01,320 Speaker 1: things are going good other than that house. Lie, what 87 00:04:01,360 --> 00:04:02,880 Speaker 1: did you do this weekend? Oh? 88 00:04:02,920 --> 00:04:06,680 Speaker 2: You know, picked up some toilets, normal stuff, got a 89 00:04:06,720 --> 00:04:10,080 Speaker 2: little I made some decisions around holiday spending. I think 90 00:04:10,080 --> 00:04:12,800 Speaker 2: we're gonna do We're definitely not doing gifts for each other, 91 00:04:13,080 --> 00:04:16,560 Speaker 2: but I think my siblings and I, since we're not 92 00:04:16,560 --> 00:04:18,400 Speaker 2: going to be together this holiday season, I think we're 93 00:04:18,400 --> 00:04:20,480 Speaker 2: gonna end up doing the whole secret Sanda thing again 94 00:04:20,480 --> 00:04:23,120 Speaker 2: and just sending each other a gift because I could 95 00:04:23,200 --> 00:04:25,120 Speaker 2: pull the whole I'm doing a home renovation. I don't 96 00:04:25,160 --> 00:04:27,400 Speaker 2: have money for that thing, but I did just spend 97 00:04:27,440 --> 00:04:29,680 Speaker 2: fifty dollars on a tolet paper holder, so maybe I 98 00:04:29,720 --> 00:04:31,960 Speaker 2: can afford to get my sister. 99 00:04:31,760 --> 00:04:37,200 Speaker 1: A little how much as. 100 00:04:35,120 --> 00:04:37,640 Speaker 2: I don't know what it slipped through. I don't know 101 00:04:37,640 --> 00:04:39,840 Speaker 2: how it happened, but there was a long list of things, 102 00:04:39,839 --> 00:04:43,000 Speaker 2: and I just said, okay, okay, it slipped through. But 103 00:04:43,040 --> 00:04:45,520 Speaker 2: if you think about how many times will you use it? 104 00:04:45,640 --> 00:04:48,880 Speaker 3: I mean, when you're like renovating, so many things go 105 00:04:48,880 --> 00:04:50,400 Speaker 3: out the window, and I guess it's like planning a 106 00:04:50,400 --> 00:04:52,320 Speaker 3: wedding where you're like, I would never spend that amount 107 00:04:52,320 --> 00:04:54,320 Speaker 3: of money, and then it happens and you're like, but 108 00:04:54,440 --> 00:04:56,520 Speaker 3: I mean, don't we all need a twenty five hundred 109 00:04:56,560 --> 00:04:57,039 Speaker 3: dollar tab? 110 00:04:57,600 --> 00:04:58,840 Speaker 1: And I was like, what am I doing? What? 111 00:04:59,000 --> 00:05:02,440 Speaker 3: Life but anyway, but no, this this past weekend, I 112 00:05:02,440 --> 00:05:04,480 Speaker 3: did the Texas Women's Conference. 113 00:05:05,160 --> 00:05:06,880 Speaker 2: Oh okay, so yeah, that was. 114 00:05:07,640 --> 00:05:08,920 Speaker 1: Well, there's a women's conference. 115 00:05:08,920 --> 00:05:11,960 Speaker 3: I think it like uh, it like floats around the country. 116 00:05:11,960 --> 00:05:13,719 Speaker 3: I think it goes to like five different locations and 117 00:05:13,960 --> 00:05:16,880 Speaker 3: they're pretty big. So the one in Texas it's the biggest, 118 00:05:17,000 --> 00:05:19,599 Speaker 3: the big biggest women's conference in Texas. It was seventy 119 00:05:19,680 --> 00:05:23,560 Speaker 3: nine hundred women and doctor Brene Brown, who I love, 120 00:05:23,960 --> 00:05:25,720 Speaker 3: was there and then also Reese Witherspoon. 121 00:05:25,800 --> 00:05:26,680 Speaker 1: They were both keynotes. 122 00:05:27,600 --> 00:05:30,839 Speaker 3: So I did a breakout session just like seven ways 123 00:05:30,880 --> 00:05:33,440 Speaker 3: to Live a Richer life, just the basics like budgeting, 124 00:05:33,480 --> 00:05:36,280 Speaker 3: credit whatever. But there were just so many women. Honestly, 125 00:05:36,320 --> 00:05:40,200 Speaker 3: it was really awesome. The energy was awesome. Usually I'm 126 00:05:40,240 --> 00:05:43,159 Speaker 3: not really like someone who like loves conferences because sometimes 127 00:05:43,160 --> 00:05:46,359 Speaker 3: they don't seem so useful, you know. But I have 128 00:05:46,400 --> 00:05:49,120 Speaker 3: to say, this is my second women's conference, like with 129 00:05:49,640 --> 00:05:51,720 Speaker 3: it's literally called like the Women's Conference, So I think 130 00:05:51,839 --> 00:05:54,080 Speaker 3: the last one I did was in Pennsylvania, I think. 131 00:05:54,240 --> 00:05:56,760 Speaker 3: But I liked them because they really insist that you 132 00:05:56,800 --> 00:06:01,240 Speaker 3: give actionable steps, so you really leave feeling like, oh 133 00:06:01,320 --> 00:06:04,200 Speaker 3: I took this, you know, breakout session or whatever, and 134 00:06:04,240 --> 00:06:07,240 Speaker 3: I left with some actionable items and steps to do. So, 135 00:06:08,279 --> 00:06:10,200 Speaker 3: like I said, I have to say it was. It 136 00:06:10,240 --> 00:06:11,720 Speaker 3: was a really good weekend. And I got to meet 137 00:06:11,720 --> 00:06:15,720 Speaker 3: this woman named Jessica. I'm gonna mess up her last name, 138 00:06:15,720 --> 00:06:17,600 Speaker 3: but she like changed my life. So she was just 139 00:06:17,640 --> 00:06:19,359 Speaker 3: telling me about a business she owned. It this is 140 00:06:19,360 --> 00:06:22,720 Speaker 3: how you just never know about folks. She was telling 141 00:06:22,760 --> 00:06:25,000 Speaker 3: me about a business she owned that she started. It's 142 00:06:25,040 --> 00:06:27,919 Speaker 3: a social enterprise. And for those of you who don't know, 143 00:06:28,000 --> 00:06:32,280 Speaker 3: social enterprise is a business that really the it's Honegger, 144 00:06:32,320 --> 00:06:36,400 Speaker 3: that's her last name. It's a business that the purpose 145 00:06:36,560 --> 00:06:39,159 Speaker 3: comes before the profit. So you know, of course you 146 00:06:39,200 --> 00:06:42,560 Speaker 3: want to make money, but really there's like a you know, 147 00:06:42,720 --> 00:06:48,279 Speaker 3: like a the mission is really purpose driven versus profit driven. 148 00:06:48,279 --> 00:06:51,960 Speaker 1: And she started this have you ever heard of Noonday Collection? No? 149 00:06:52,080 --> 00:06:52,520 Speaker 2: I haven't. 150 00:06:53,279 --> 00:06:56,000 Speaker 1: So she like buys. 151 00:06:55,760 --> 00:06:59,120 Speaker 3: Jewelry from what she calls vulnerable populations, so populations where 152 00:06:59,279 --> 00:07:01,560 Speaker 3: folks really don't have access to the market, but they make, 153 00:07:01,640 --> 00:07:04,280 Speaker 3: they make their artisans and they make beautiful things. And 154 00:07:04,680 --> 00:07:06,760 Speaker 3: she started it as a fundraiser because she wanted to 155 00:07:06,960 --> 00:07:09,360 Speaker 3: adopt a little boy from Rwanda. Her and her husband. 156 00:07:09,560 --> 00:07:11,680 Speaker 3: Then the recession hit and they were in real estate. 157 00:07:11,720 --> 00:07:16,480 Speaker 3: They lost everything, so they purchased some I think some 158 00:07:16,680 --> 00:07:19,920 Speaker 3: jewelry from his village or I think she purchased it 159 00:07:19,920 --> 00:07:22,800 Speaker 3: from Uganda, and she sold it to her friends and 160 00:07:22,920 --> 00:07:24,080 Speaker 3: to say, hey, I'm doing this. 161 00:07:24,000 --> 00:07:26,040 Speaker 1: Fundraiser so we can you know, bring my son home. 162 00:07:26,960 --> 00:07:28,640 Speaker 3: And then it started to do really well, and then 163 00:07:28,680 --> 00:07:31,360 Speaker 3: her friends were like, hey, I want to sell jewelry 164 00:07:31,400 --> 00:07:34,160 Speaker 3: and help people in another country, but also make money too, 165 00:07:34,200 --> 00:07:35,800 Speaker 3: And I was like, oh, wow, that's really nice. And 166 00:07:35,840 --> 00:07:37,679 Speaker 3: then she was telling me how they grossed eighteen million 167 00:07:37,720 --> 00:07:40,080 Speaker 3: dollars this year or last year, and I was like, 168 00:07:40,080 --> 00:07:40,400 Speaker 3: wait what. 169 00:07:41,640 --> 00:07:44,840 Speaker 1: So it just wasn't really speaking with her was a really. 170 00:07:44,520 --> 00:07:48,280 Speaker 3: Great reminder of how, like, you know, you can do 171 00:07:48,360 --> 00:07:51,040 Speaker 3: good work, help good people, and make good money. 172 00:07:51,440 --> 00:07:53,600 Speaker 1: So that was just like the most inspiration. 173 00:07:53,680 --> 00:07:55,080 Speaker 3: I just happened to be sitting next to her and 174 00:07:55,120 --> 00:07:58,160 Speaker 3: she was just sharing that she's also the fastest growing 175 00:07:58,240 --> 00:08:03,119 Speaker 3: privately held company direct sales, and so I just thought, wow, 176 00:08:03,480 --> 00:08:06,680 Speaker 3: it was just such a great example that, you know, 177 00:08:06,840 --> 00:08:09,600 Speaker 3: because that's what I'm wanting to do. I'm wanting to 178 00:08:09,640 --> 00:08:12,400 Speaker 3: make sure that we run a company that is integrity 179 00:08:12,400 --> 00:08:15,600 Speaker 3: above all else people and purpose above profit. 180 00:08:15,640 --> 00:08:17,119 Speaker 1: But it doesn't mean you don't want to make profit. 181 00:08:17,240 --> 00:08:20,440 Speaker 3: So just to see that she was navigating that successfully 182 00:08:20,520 --> 00:08:21,560 Speaker 3: was really inspirational. 183 00:08:22,240 --> 00:08:23,720 Speaker 2: How do you feel about I mean, I know that 184 00:08:23,760 --> 00:08:26,200 Speaker 2: you speak at conferences and stuff, but I wonder, like 185 00:08:26,200 --> 00:08:28,640 Speaker 2: our listeners, are there conferences that you guys attend, like 186 00:08:28,720 --> 00:08:31,760 Speaker 2: as attendees, like outside of stuff that you might do 187 00:08:31,840 --> 00:08:34,160 Speaker 2: for work. Because I've like I've gotten I just got 188 00:08:34,200 --> 00:08:36,440 Speaker 2: an invite to like the World Business Forum in New 189 00:08:36,480 --> 00:08:38,959 Speaker 2: York City, which is meant to be for business leaders 190 00:08:39,000 --> 00:08:40,840 Speaker 2: to come together, and then you hear from people like 191 00:08:41,240 --> 00:08:45,280 Speaker 2: Seth Godin and Ariana Huffington and it's focused. It's less 192 00:08:45,320 --> 00:08:47,360 Speaker 2: of like this will help me as an editor and 193 00:08:47,440 --> 00:08:50,360 Speaker 2: more this will help me, you know, like as a leader. 194 00:08:51,160 --> 00:08:53,559 Speaker 2: And some of these tickets are really expensive, like I'm 195 00:08:53,600 --> 00:08:56,080 Speaker 2: getting because I'm with the media, I could you know, 196 00:08:56,160 --> 00:08:58,720 Speaker 2: get a comp ticket or whatever. But like if you're 197 00:08:58,760 --> 00:09:01,160 Speaker 2: out there and you're listening and you guys like you 198 00:09:01,200 --> 00:09:03,800 Speaker 2: purchased tickets for conferences, I just wonder, like, what are 199 00:09:03,840 --> 00:09:07,240 Speaker 2: your favorite ones? You know, what ones have really helped 200 00:09:07,240 --> 00:09:10,600 Speaker 2: you that you would go to on an annual basis. 201 00:09:10,640 --> 00:09:14,200 Speaker 2: Maybe it's Essence Fest or I don't know. I went 202 00:09:14,280 --> 00:09:16,720 Speaker 2: to one that was hosted by Meeker Brazhenski, Like from 203 00:09:17,280 --> 00:09:19,400 Speaker 2: that show on MSNBC. What can I think of it 204 00:09:19,480 --> 00:09:21,320 Speaker 2: right now? The know your Worst Tour? Did you speak 205 00:09:21,320 --> 00:09:21,760 Speaker 2: at that tour? 206 00:09:21,880 --> 00:09:24,280 Speaker 1: Yes, okay I did when it first came out. 207 00:09:24,360 --> 00:09:27,080 Speaker 2: Yeah, you make the rounds. But like, there were so 208 00:09:27,120 --> 00:09:29,800 Speaker 2: many women at that conference. I remember Elizabeth Warren spoke. 209 00:09:30,240 --> 00:09:32,559 Speaker 2: She was one of the keynotes at that conference, and 210 00:09:32,600 --> 00:09:34,840 Speaker 2: like the crowd was crazy. I'm just thinking, like, who 211 00:09:34,880 --> 00:09:36,800 Speaker 2: are these women who aren't getting free tickets, who are 212 00:09:36,800 --> 00:09:40,000 Speaker 2: actually spending money to go to these conferences. Yeah, I 213 00:09:40,040 --> 00:09:42,319 Speaker 2: don't know. I just I'm curious if you guys email 214 00:09:42,400 --> 00:09:46,440 Speaker 2: us at broad Ambition Podcast at gmail dot com dot com, 215 00:09:46,440 --> 00:09:48,920 Speaker 2: if you have a conference that you like, or anything 216 00:09:48,920 --> 00:09:51,960 Speaker 2: to say about conferences that have helped you or in 217 00:09:52,000 --> 00:09:54,959 Speaker 2: your business or personal life. Just just curious. 218 00:09:55,600 --> 00:09:56,520 Speaker 1: No, that's awesome. 219 00:09:56,600 --> 00:09:58,240 Speaker 3: Yeah, I wonder if you were at the same one, 220 00:09:58,240 --> 00:10:00,679 Speaker 3: because I was there when Elizabeth Warren's books. 221 00:10:00,679 --> 00:10:02,280 Speaker 1: I'm like, I want if we were in the same room. 222 00:10:02,600 --> 00:10:04,320 Speaker 2: I think we were. I I covered it because I 223 00:10:04,360 --> 00:10:06,360 Speaker 2: was I was at Yahoo Finance then I was a 224 00:10:06,400 --> 00:10:09,120 Speaker 2: reporter and I was doing a story on Mika's new book, 225 00:10:09,600 --> 00:10:11,560 Speaker 2: Know Your Value, and then she tried to she like 226 00:10:11,600 --> 00:10:13,920 Speaker 2: launched it into a mini tour. So I was there. 227 00:10:13,920 --> 00:10:16,960 Speaker 2: I interviewed Hoda and I interviewed. 228 00:10:16,559 --> 00:10:18,920 Speaker 1: Yes, I was there. That's so crazy that we were 229 00:10:18,920 --> 00:10:19,600 Speaker 1: in the same room. 230 00:10:20,160 --> 00:10:24,120 Speaker 2: Yeah, and Andre Leon Talley, who was really sweaty and 231 00:10:24,160 --> 00:10:30,839 Speaker 2: hot and he is very, very very That is the 232 00:10:30,960 --> 00:10:33,840 Speaker 2: visceral memory I have of that interview. 233 00:10:33,920 --> 00:10:36,040 Speaker 1: But no, that's awesome. 234 00:10:36,080 --> 00:10:38,199 Speaker 3: So yeah, because you know, there are definitely some conferences 235 00:10:38,200 --> 00:10:39,720 Speaker 3: where you're like, why did I come? 236 00:10:40,440 --> 00:10:42,120 Speaker 2: Oh, yes, spill the tea on the ones that you 237 00:10:42,160 --> 00:10:44,480 Speaker 2: didn't think were worth your time. It's also like the 238 00:10:44,559 --> 00:10:47,160 Speaker 2: end of your time, and I know I'm I'm about 239 00:10:47,200 --> 00:10:51,400 Speaker 2: to Like deadlines are if you're like leadership institutes or 240 00:10:51,520 --> 00:10:53,280 Speaker 2: trainings out there, a lot of their deadlines are in 241 00:10:53,320 --> 00:10:55,800 Speaker 2: the fall. I have to submit an application for a 242 00:10:56,720 --> 00:10:58,520 Speaker 2: I'm trying to do. Last year, I did an leadership 243 00:10:58,559 --> 00:11:02,560 Speaker 2: institute for or young or diverse I think it was 244 00:11:02,640 --> 00:11:06,520 Speaker 2: diverse editorial leaders at the Pointer Institute, And I'm doing 245 00:11:06,880 --> 00:11:10,880 Speaker 2: I'm going to apply for another program that's focused on women, 246 00:11:11,080 --> 00:11:14,680 Speaker 2: but same similar thing. Women leaders in journalism, and it's 247 00:11:14,760 --> 00:11:18,080 Speaker 2: through the Online News Association. It's like a one week 248 00:11:18,160 --> 00:11:20,719 Speaker 2: accelerator program. And I'm going to try to keep doing 249 00:11:20,760 --> 00:11:24,360 Speaker 2: at least one of these a year. And if your company, 250 00:11:24,520 --> 00:11:26,640 Speaker 2: you know, would reimburse you for something like that, then 251 00:11:26,800 --> 00:11:29,280 Speaker 2: you know, see what deadlines are out there, if there's 252 00:11:29,320 --> 00:11:31,319 Speaker 2: anything that interests you for twenty nineteen, because some of 253 00:11:31,360 --> 00:11:32,360 Speaker 2: them have deadlines now. 254 00:11:33,280 --> 00:11:35,200 Speaker 3: So I think to consider I feel like I feel like, 255 00:11:35,240 --> 00:11:39,000 Speaker 3: you know, extended learning is always you know, it's always 256 00:11:39,000 --> 00:11:41,440 Speaker 3: a good thing. So if you can, you know, if 257 00:11:41,480 --> 00:11:43,120 Speaker 3: you can sign up for something where you know you're 258 00:11:43,160 --> 00:11:45,800 Speaker 3: actually going to take something away. I always think to 259 00:11:45,840 --> 00:11:48,679 Speaker 3: myself like it's less to me about like the woman 260 00:11:48,760 --> 00:11:50,840 Speaker 3: on the stage or the man on the stage or whoever. 261 00:11:51,480 --> 00:11:54,480 Speaker 3: And I really try to make it my business to 262 00:11:54,520 --> 00:11:56,440 Speaker 3: connect with the person sitting next to me because you 263 00:11:56,480 --> 00:11:58,560 Speaker 3: never know, like look at Jessica Harr. 264 00:11:58,720 --> 00:12:00,000 Speaker 1: I'm gonna say her name wrong. 265 00:12:00,120 --> 00:12:02,920 Speaker 3: But you know, like look who I met. You know 266 00:12:03,160 --> 00:12:06,440 Speaker 3: that wasn't she just was sitting next to me. Honegger, 267 00:12:06,600 --> 00:12:07,680 Speaker 3: Sorry Jessica. 268 00:12:07,840 --> 00:12:12,480 Speaker 1: Oh what Honegger? H O n E g g E 269 00:12:12,600 --> 00:12:19,600 Speaker 1: r hoenegger mm hmm a dry So yeah, So I'm like, 270 00:12:19,640 --> 00:12:20,679 Speaker 1: you know, I just think that. 271 00:12:20,960 --> 00:12:23,000 Speaker 3: I think sometimes a lot of times when people go 272 00:12:23,040 --> 00:12:26,079 Speaker 3: to conferences, they think like you know, or they're wanting 273 00:12:26,120 --> 00:12:28,600 Speaker 3: to connect with the person that's speaking, which is obviously 274 00:12:28,640 --> 00:12:31,560 Speaker 3: you know, dope, But sometimes the people who are sitting 275 00:12:31,600 --> 00:12:34,480 Speaker 3: next to you are like way doper and just turning 276 00:12:34,480 --> 00:12:37,079 Speaker 3: to the lesson to the right and asking questions and connecting. 277 00:12:37,440 --> 00:12:40,720 Speaker 3: So yeah, I'm not a huge conference fan, only because 278 00:12:40,800 --> 00:12:43,560 Speaker 3: sitting sometimes, unless like the speaker is really dynamic, I 279 00:12:43,600 --> 00:12:44,560 Speaker 3: get like bored easily. 280 00:12:44,600 --> 00:12:46,480 Speaker 1: But but when. 281 00:12:46,320 --> 00:12:48,559 Speaker 3: It's a really good speaker and I get some actionable 282 00:12:48,559 --> 00:12:50,480 Speaker 3: things to do, then I'm all for it. 283 00:12:52,960 --> 00:12:56,920 Speaker 2: Cool. Cool. What else is happening in the world. California 284 00:12:57,000 --> 00:12:57,480 Speaker 2: is burning? 285 00:12:57,600 --> 00:13:01,920 Speaker 1: Trump is tweeting, Yeah, what you know, we do have 286 00:13:01,960 --> 00:13:03,560 Speaker 1: the house, So there's that. 287 00:13:03,920 --> 00:13:06,679 Speaker 2: But is that your response to California's burning? 288 00:13:07,320 --> 00:13:08,040 Speaker 1: I got a house. 289 00:13:09,080 --> 00:13:10,440 Speaker 3: No, No, I didn't meant the half I met like 290 00:13:10,440 --> 00:13:11,520 Speaker 3: the Democrats got the house. 291 00:13:11,520 --> 00:13:17,599 Speaker 1: Oh, I was like, no way that. 292 00:13:17,760 --> 00:13:21,640 Speaker 2: I thought that was off personality, I mean off brand 293 00:13:21,679 --> 00:13:22,960 Speaker 2: for you, off brand. 294 00:13:23,120 --> 00:13:27,320 Speaker 1: Now I met that, like you know that. Politically, Yeah, 295 00:13:27,360 --> 00:13:28,720 Speaker 1: some change happening. 296 00:13:29,360 --> 00:13:31,480 Speaker 2: I have been on like tenter hooks. Who I've never 297 00:13:31,559 --> 00:13:33,960 Speaker 2: used that in a sentence, tenter Hooks. I'm so, you know, 298 00:13:33,960 --> 00:13:36,640 Speaker 2: it's a good word because what's happening in Georgia right 299 00:13:36,679 --> 00:13:39,000 Speaker 2: now with the I think last week even on the show, 300 00:13:39,000 --> 00:13:41,880 Speaker 2: we talked about the election results, but at Stacy Abrams 301 00:13:41,840 --> 00:13:45,240 Speaker 2: and Brian Kemp, there's still not a declared winner. Like 302 00:13:45,360 --> 00:13:47,960 Speaker 2: it's like a week later, it's not a declared winner, 303 00:13:48,600 --> 00:13:51,160 Speaker 2: and they're recounting every single vote, and I'm just like, 304 00:13:51,640 --> 00:13:52,920 Speaker 2: it's nail biting right now. 305 00:13:53,080 --> 00:13:55,080 Speaker 3: Sometimes you know, I plug in and I see what's 306 00:13:55,080 --> 00:13:56,880 Speaker 3: going on with the world, and other times I'm like, 307 00:13:56,920 --> 00:13:57,480 Speaker 3: you know what. 308 00:13:57,400 --> 00:13:59,280 Speaker 1: I gotta plug out. I can't do I can't do it. 309 00:13:59,360 --> 00:14:02,800 Speaker 1: But you know, I mean, definitely the midterm election. 310 00:14:03,240 --> 00:14:06,440 Speaker 3: What it did make me excited for was to see 311 00:14:06,480 --> 00:14:08,240 Speaker 3: just how many people participated. 312 00:14:08,320 --> 00:14:10,400 Speaker 1: It felt like we were voting for president. 313 00:14:10,520 --> 00:14:12,320 Speaker 3: Like I'd never seen that many people out for midterm, 314 00:14:12,400 --> 00:14:13,480 Speaker 3: So that's always a good thing. 315 00:14:14,640 --> 00:14:17,520 Speaker 2: Did you see that Starbucks is laying off five percent 316 00:14:17,559 --> 00:14:21,480 Speaker 2: of its workforce? No, why, I don't know. I guess 317 00:14:21,560 --> 00:14:22,720 Speaker 2: business is not booming. 318 00:14:23,200 --> 00:14:25,880 Speaker 3: But millennials killing coffee too, because you know, they blame 319 00:14:25,920 --> 00:14:26,520 Speaker 3: you off everything. 320 00:14:26,800 --> 00:14:27,040 Speaker 1: Yeah. 321 00:14:27,040 --> 00:14:29,360 Speaker 2: I read a story this week that millennials are killing 322 00:14:29,360 --> 00:14:32,880 Speaker 2: the pet food industry because they're shopping for fancy dog 323 00:14:32,920 --> 00:14:35,520 Speaker 2: food and the bad like the cheap stuff that like 324 00:14:35,560 --> 00:14:37,840 Speaker 2: my cat ate when not dogs, but pets in general, 325 00:14:37,920 --> 00:14:39,880 Speaker 2: the cheap stuff like what did my cat eat? Like 326 00:14:39,920 --> 00:14:43,080 Speaker 2: parina or like kibbles and bits or whatever. Like, millennials 327 00:14:43,120 --> 00:14:45,600 Speaker 2: are spending twice as much as they were on dog food, 328 00:14:45,640 --> 00:14:49,600 Speaker 2: like the organic y Yeah, like just spending so much 329 00:14:49,640 --> 00:14:51,320 Speaker 2: money now that the yeah, the ones who make the 330 00:14:51,360 --> 00:14:53,960 Speaker 2: cheap stuff aren't doing so good, which. 331 00:14:53,800 --> 00:14:56,640 Speaker 3: Seems so weird because it's like at the same time 332 00:14:56,680 --> 00:14:58,560 Speaker 3: they're like millennials are broke, you know. They tell you, guys, 333 00:14:58,680 --> 00:15:00,760 Speaker 3: everything but a child of God. 334 00:15:01,160 --> 00:15:04,280 Speaker 2: When it comes to pets, people are just not It's nonsensical. 335 00:15:05,400 --> 00:15:08,640 Speaker 3: Yes, somebody posted in my on Facebook you don't have 336 00:15:08,680 --> 00:15:12,200 Speaker 3: the DreamCatcher group, And somebody posted, you know, I'm really 337 00:15:12,200 --> 00:15:14,840 Speaker 3: struggling with my finances. I'm really thinking about giving up 338 00:15:14,880 --> 00:15:17,400 Speaker 3: my dog, like you know, like you know, either giving 339 00:15:17,440 --> 00:15:18,560 Speaker 3: it to a friend or whatever. 340 00:15:18,800 --> 00:15:22,880 Speaker 1: People were livid. I couldn't believe it. I had to 341 00:15:22,880 --> 00:15:25,440 Speaker 1: turn off the comments. They were like, would you give 342 00:15:25,480 --> 00:15:28,440 Speaker 1: your child to your friends? And I'm like, oh no, 343 00:15:28,720 --> 00:15:30,640 Speaker 1: she could that's a human, I know. 344 00:15:31,600 --> 00:15:33,360 Speaker 3: And it wasn't like she wasn't saying like I'm going 345 00:15:33,400 --> 00:15:35,760 Speaker 3: to leave my dog outside, you know, and walk away. 346 00:15:35,880 --> 00:15:37,720 Speaker 3: She was just like, you know, you could tell she's 347 00:15:37,760 --> 00:15:40,040 Speaker 3: like I obviously I love my dog, but it's to 348 00:15:40,080 --> 00:15:42,760 Speaker 3: the point where I can't afford my life and I'm 349 00:15:42,760 --> 00:15:44,960 Speaker 3: trying to figure out what what do I do? You know, 350 00:15:45,040 --> 00:15:46,880 Speaker 3: what do you guys think? And so I just was 351 00:15:46,960 --> 00:15:49,160 Speaker 3: just reminding folks, you know, to keep it kind. But 352 00:15:49,920 --> 00:15:52,120 Speaker 3: you know, I mean, yeah, I had to turn off 353 00:15:52,120 --> 00:15:55,720 Speaker 3: the comments because people were really angry, like how yeah, 354 00:15:55,760 --> 00:15:59,280 Speaker 3: how dare you even consider like leaving your dog who 355 00:15:59,360 --> 00:16:03,440 Speaker 3: was clear a human with your friend or you know 356 00:16:03,600 --> 00:16:05,760 Speaker 3: or whatever that Like, Like I said, it wasn't like she 357 00:16:05,800 --> 00:16:08,120 Speaker 3: was gonna euthanize her dog. She just was like I 358 00:16:08,240 --> 00:16:11,000 Speaker 3: just can't afford And someone was like, well, be homeless 359 00:16:11,000 --> 00:16:13,400 Speaker 3: with your dog. I'm like, you know what, block black 360 00:16:13,880 --> 00:16:17,680 Speaker 3: crazy lady. So yeah, so I just thought, like, you know, 361 00:16:17,680 --> 00:16:21,040 Speaker 3: people are very, very very attached to their animals. 362 00:16:21,120 --> 00:16:24,120 Speaker 1: I don't have any animals. I have them as a kid, I. 363 00:16:24,120 --> 00:16:25,160 Speaker 2: Do in my dreams. 364 00:16:26,160 --> 00:16:26,920 Speaker 1: I don't want a dog. 365 00:16:27,040 --> 00:16:30,200 Speaker 2: I don't in my in my imagination all the time. 366 00:16:30,240 --> 00:16:32,840 Speaker 2: I'm like, I'm gonna steal that dog. I haven't done. 367 00:16:33,120 --> 00:16:37,000 Speaker 3: Just so many dogs are so stinky. Sorry, people with dogs, 368 00:16:37,000 --> 00:16:39,480 Speaker 3: I'm sorry. I'm half my friends with dogs, I'm like, oh, 369 00:16:39,680 --> 00:16:40,520 Speaker 3: I know you have a dog. 370 00:16:40,640 --> 00:16:42,200 Speaker 2: You know I don't want to fight with you. Right now, 371 00:16:42,240 --> 00:16:45,800 Speaker 2: it's the holidays almost, let's not let's not start talking 372 00:16:45,800 --> 00:16:49,280 Speaker 2: trash about dogs, who are just God's gift to the world. 373 00:16:51,040 --> 00:16:53,560 Speaker 3: I mean, I can live with the you know, cats, 374 00:16:53,560 --> 00:16:55,880 Speaker 3: I could deal, you know, but I mean, and honestly, 375 00:16:55,960 --> 00:16:58,520 Speaker 3: I don't. I actually like dogs, but let's not pretend 376 00:16:58,560 --> 00:16:59,720 Speaker 3: like they don't come with a little bit. 377 00:16:59,680 --> 00:17:02,600 Speaker 2: Of I mean, some of them more than others, is true. 378 00:17:02,880 --> 00:17:06,080 Speaker 2: Everyone loves Corgi's. They stink and they shed like a mother. 379 00:17:06,880 --> 00:17:09,359 Speaker 2: I need to know though, from our listeners. Another question 380 00:17:09,400 --> 00:17:11,840 Speaker 2: for the listeners. Email us and tell us what is 381 00:17:12,560 --> 00:17:15,000 Speaker 2: like an embarrassing amount of money you spent on your pet. 382 00:17:15,280 --> 00:17:16,919 Speaker 2: I know people out there who've gone to debt for 383 00:17:16,960 --> 00:17:19,040 Speaker 2: their pets. They take out these credit cards to pay 384 00:17:19,040 --> 00:17:22,120 Speaker 2: for their pet at the veterinarian and end up paying 385 00:17:22,119 --> 00:17:24,639 Speaker 2: those cards off for years, no joke. So if you, 386 00:17:24,840 --> 00:17:27,160 Speaker 2: I mean, this is a safe space you can be anonymous. 387 00:17:27,640 --> 00:17:29,520 Speaker 2: I want to know your pet. I want to know 388 00:17:29,520 --> 00:17:31,919 Speaker 2: how much you spent on your pet and what crazy 389 00:17:31,920 --> 00:17:36,000 Speaker 2: things you've purchased for them. M Grandomission Podcast at gmail 390 00:17:36,040 --> 00:17:37,160 Speaker 2: dot com dot com. 391 00:17:39,080 --> 00:17:42,439 Speaker 1: All right, are we going to take some question on 392 00:17:42,880 --> 00:17:43,200 Speaker 1: I do. 393 00:17:43,280 --> 00:17:45,359 Speaker 2: I have a question from an anonymous listener who is 394 00:17:45,359 --> 00:17:48,560 Speaker 2: torn between two job offers. First of all, what a 395 00:17:48,640 --> 00:17:51,920 Speaker 2: nice place to be just the first and foremost. 396 00:17:52,040 --> 00:17:53,920 Speaker 1: Okay, that is a nice place, but she can't. 397 00:17:53,760 --> 00:17:56,080 Speaker 2: Decide which is the right opportunity, so let's hear from her. 398 00:17:56,240 --> 00:17:59,840 Speaker 2: She says, I'm currently evaluating two job offers. One is 399 00:17:59,840 --> 00:18:02,320 Speaker 2: a very exciting it's with the company that I'm not 400 00:18:02,359 --> 00:18:06,040 Speaker 2: sure about, though they specialize in debt collection. The role 401 00:18:06,080 --> 00:18:08,680 Speaker 2: would be in corporate philanthropy, though, which is a dream 402 00:18:08,760 --> 00:18:11,440 Speaker 2: job for me. However, I don't feel like working. I 403 00:18:11,480 --> 00:18:14,160 Speaker 2: don't feel that working for a debt collection company reflects 404 00:18:14,200 --> 00:18:18,000 Speaker 2: my values. Is there anything redeeming about the debt collection industry? 405 00:18:18,119 --> 00:18:20,200 Speaker 2: I think I already know the answer to this question. 406 00:18:20,840 --> 00:18:23,479 Speaker 2: The other job is with the more reputable company, but 407 00:18:23,520 --> 00:18:26,000 Speaker 2: it seems a bit boring and everyone is much older 408 00:18:26,040 --> 00:18:28,640 Speaker 2: than me. My husband's encouraging me to take this job. 409 00:18:28,680 --> 00:18:30,600 Speaker 2: Because the benefits are better and he wants me to 410 00:18:30,600 --> 00:18:33,119 Speaker 2: be sensible. It's hard to talk to him about finding 411 00:18:33,160 --> 00:18:36,080 Speaker 2: a job I love because he's too practical. He's a 412 00:18:36,160 --> 00:18:38,600 Speaker 2: work at the boring job for thirty years kind of guy. 413 00:18:38,880 --> 00:18:42,280 Speaker 2: I'd love some advice. Dot dot dot dot dot. So 414 00:18:42,280 --> 00:18:44,880 Speaker 2: what she should do? Work for the shadier company that's 415 00:18:44,920 --> 00:18:48,280 Speaker 2: the perfect job for her, or the more sensible company 416 00:18:48,280 --> 00:18:50,480 Speaker 2: that could be boring but has good benefits. 417 00:18:51,680 --> 00:18:55,480 Speaker 1: So how is the detection company the perfect job? Again? 418 00:18:55,960 --> 00:18:59,320 Speaker 2: It's incorporate philanthropy, which she says is a dream job 419 00:18:59,359 --> 00:19:03,160 Speaker 2: for her. If the company has a philanthropic arm, maybe 420 00:19:03,160 --> 00:19:04,680 Speaker 2: they're not. I mean, she doesn't give us a name 421 00:19:04,680 --> 00:19:08,080 Speaker 2: with the company at all, but I mean not all. Yes, 422 00:19:08,240 --> 00:19:10,800 Speaker 2: many you know a lot of debt collection. You know, 423 00:19:10,920 --> 00:19:14,040 Speaker 2: firms get a bad rap, but it's you know, it's 424 00:19:14,080 --> 00:19:16,640 Speaker 2: a it's a reality in this country that we have 425 00:19:16,800 --> 00:19:18,960 Speaker 2: a debt based not a debt based economy. But a 426 00:19:19,000 --> 00:19:21,200 Speaker 2: lot of people use debt and a lots some people 427 00:19:21,200 --> 00:19:23,320 Speaker 2: can't pay it back. So we need to have institutions 428 00:19:23,359 --> 00:19:26,000 Speaker 2: that can get it back. Some institutions are really shady 429 00:19:26,040 --> 00:19:27,879 Speaker 2: about it, and they break the law and they do 430 00:19:27,920 --> 00:19:31,600 Speaker 2: things that are you know not you know, not that 431 00:19:31,680 --> 00:19:34,919 Speaker 2: aren't kosher, like harassing people. But some companies are just 432 00:19:35,000 --> 00:19:37,439 Speaker 2: doing what they need to do. You know, they're hired 433 00:19:37,560 --> 00:19:41,680 Speaker 2: to recoup debts, and they're not all shady. The fact 434 00:19:41,720 --> 00:19:44,320 Speaker 2: that this one has a like a foundation of some kind, 435 00:19:44,960 --> 00:19:47,560 Speaker 2: maybe they're one of the less shady ones. So I 436 00:19:47,600 --> 00:19:51,080 Speaker 2: wonder how much research she's put into the company itself 437 00:19:52,160 --> 00:19:54,679 Speaker 2: before deciding that, like painting with a broad brush, that 438 00:19:54,720 --> 00:19:57,239 Speaker 2: it deals with debt collection. So it must be you know, 439 00:19:57,320 --> 00:19:58,119 Speaker 2: a terrible place. 440 00:19:59,320 --> 00:19:59,560 Speaker 1: Yeah. 441 00:19:59,720 --> 00:20:02,720 Speaker 3: So so honestly, like so she's not actually going to 442 00:20:02,760 --> 00:20:10,480 Speaker 3: be the doing that that collecting it would be exactly Honestly, 443 00:20:10,960 --> 00:20:13,720 Speaker 3: that is hard because that whole that collecting part, I mean, 444 00:20:13,760 --> 00:20:15,800 Speaker 3: and honestly, I would look, I mean, I'm I'm assuming 445 00:20:15,840 --> 00:20:17,040 Speaker 3: you looked on glass Door. 446 00:20:17,040 --> 00:20:18,159 Speaker 1: If you haven't, you should. 447 00:20:19,280 --> 00:20:20,959 Speaker 3: That's where you can kind of see like what it's like, 448 00:20:21,160 --> 00:20:23,439 Speaker 3: what employees say about working and take it with a 449 00:20:23,440 --> 00:20:24,000 Speaker 3: grain of salt. 450 00:20:24,000 --> 00:20:25,640 Speaker 1: But still, you know, it's true. 451 00:20:25,680 --> 00:20:27,000 Speaker 2: It's a good idea, you know. 452 00:20:28,800 --> 00:20:33,679 Speaker 3: Yeah, I mean, just because it's that collection doesn't necessarily 453 00:20:33,720 --> 00:20:37,000 Speaker 3: mean they're shady, like Mandy said, and especially if you're 454 00:20:37,000 --> 00:20:39,479 Speaker 3: working in a department where it's in alignment with what 455 00:20:39,520 --> 00:20:40,520 Speaker 3: you want to do with your life. 456 00:20:40,800 --> 00:20:42,600 Speaker 1: You might have like a one year plan there, like 457 00:20:42,960 --> 00:20:43,760 Speaker 1: I'm going to work. 458 00:20:43,600 --> 00:20:47,399 Speaker 3: In the philanthropy department here and then move on to 459 00:20:47,440 --> 00:20:51,000 Speaker 3: another philanthropy department in a company that I feel even 460 00:20:51,040 --> 00:20:53,680 Speaker 3: more comfortable with, because you have to think of My 461 00:20:53,720 --> 00:20:55,720 Speaker 3: sister would always tell me when you're going from job 462 00:20:55,760 --> 00:20:57,840 Speaker 3: to job that it's a building block. 463 00:20:58,240 --> 00:20:59,720 Speaker 1: That that's what you have to think about it as. 464 00:21:00,080 --> 00:21:03,159 Speaker 3: So if I'm assuming you have a foundation already, so 465 00:21:03,320 --> 00:21:05,600 Speaker 3: if this is a block that you're building, if this 466 00:21:05,680 --> 00:21:07,840 Speaker 3: is like a brick, a layer of brick that you're 467 00:21:07,840 --> 00:21:11,560 Speaker 3: building on the eventual house of your ideal job and 468 00:21:11,680 --> 00:21:16,440 Speaker 3: career and whatever, does this add to that foundation? Because 469 00:21:16,440 --> 00:21:19,320 Speaker 3: it sounds like a boring company doesn't like it's not 470 00:21:19,640 --> 00:21:23,240 Speaker 3: bringing you closer to where you eventually want to be, you. 471 00:21:23,280 --> 00:21:23,840 Speaker 1: Know what I mean. 472 00:21:24,200 --> 00:21:27,840 Speaker 3: So normally I'd be like, ah, that collection, you know 473 00:21:27,840 --> 00:21:30,960 Speaker 3: I have, the crossing is you know, like yo, don't 474 00:21:31,000 --> 00:21:34,480 Speaker 3: go it. But it sounds like that the actual job 475 00:21:34,520 --> 00:21:37,600 Speaker 3: itself is in alignment, So maybe I would focus on 476 00:21:37,880 --> 00:21:39,280 Speaker 3: that personally. 477 00:21:39,359 --> 00:21:42,600 Speaker 2: As a hiring manager, I review. I've probably reviewed hundreds 478 00:21:42,640 --> 00:21:45,400 Speaker 2: of resumes over the last three months, because I've been hiring, like, 479 00:21:45,760 --> 00:21:48,720 Speaker 2: you know, eight or nine positions, and when I'm looking 480 00:21:48,840 --> 00:21:51,639 Speaker 2: at resumes, this is my personal this is how I 481 00:21:51,680 --> 00:21:53,679 Speaker 2: personally do it. I know every hiring manager or an 482 00:21:53,720 --> 00:21:57,960 Speaker 2: industry is different. I'm looking for job title, length of employment, 483 00:21:58,320 --> 00:22:00,919 Speaker 2: and sometimes I do focus on the layer, especially if 484 00:22:00,960 --> 00:22:03,000 Speaker 2: it's like, you know, a similar company. It's nice for 485 00:22:03,040 --> 00:22:05,200 Speaker 2: me to know that you know, you have worked for 486 00:22:05,280 --> 00:22:07,840 Speaker 2: a company that I recognize, because I have a sense 487 00:22:07,880 --> 00:22:10,160 Speaker 2: that you would at least fit in with our type 488 00:22:10,160 --> 00:22:13,280 Speaker 2: of structure. But job title is important too, And like 489 00:22:13,320 --> 00:22:15,240 Speaker 2: Tiff said, if this is the career that you want 490 00:22:15,240 --> 00:22:18,600 Speaker 2: to work in corporate philanthropy, then I, as a hiring manager, 491 00:22:18,600 --> 00:22:20,960 Speaker 2: I would I would just see, oh, she's got eighteen 492 00:22:20,960 --> 00:22:24,880 Speaker 2: months or three years of experience with a corporate philanthropy team, 493 00:22:25,400 --> 00:22:27,679 Speaker 2: and I would weigh that a little bit more heavily 494 00:22:28,080 --> 00:22:31,200 Speaker 2: versus the company itself, with the caveat that if it's 495 00:22:31,280 --> 00:22:33,159 Speaker 2: a if it's like one of these companies that I 496 00:22:33,200 --> 00:22:35,800 Speaker 2: would recognize, and I would know, oh, that's a shady 497 00:22:36,000 --> 00:22:37,800 Speaker 2: you know, I saw a story about that in the news, 498 00:22:38,160 --> 00:22:41,199 Speaker 2: and it's shady af like it might taint my judgment 499 00:22:41,240 --> 00:22:43,600 Speaker 2: of you a little bit. So do some research, like 500 00:22:43,800 --> 00:22:46,439 Speaker 2: hop on Google, you know, see if this debt collection 501 00:22:46,520 --> 00:22:48,720 Speaker 2: company has been in the news, if there's been a 502 00:22:48,760 --> 00:22:51,840 Speaker 2: ton of lawsuits file by consumers who have claimed that 503 00:22:51,840 --> 00:22:54,040 Speaker 2: it's been harassing them. Because at the end of the day, 504 00:22:54,040 --> 00:22:55,399 Speaker 2: you do want to work for a company that you 505 00:22:55,480 --> 00:22:59,320 Speaker 2: believe in and that makes you feel good about yourself, 506 00:22:59,560 --> 00:23:02,199 Speaker 2: and you're finding that there's a ton of red flags 507 00:23:02,200 --> 00:23:04,600 Speaker 2: out there, then even though it's the right fit, you 508 00:23:04,640 --> 00:23:07,399 Speaker 2: know on paper, maybe it wouldn't be happy. Maybe you 509 00:23:07,400 --> 00:23:09,000 Speaker 2: wouldn't be happy there in the long run because you 510 00:23:09,000 --> 00:23:10,680 Speaker 2: wouldn't feel proud to say you work there. 511 00:23:11,240 --> 00:23:15,439 Speaker 3: Yeah, yeah, exactly, And I, like I said, I can 512 00:23:15,560 --> 00:23:17,639 Speaker 3: understand like feeling that way. But at the same time, 513 00:23:17,920 --> 00:23:19,920 Speaker 3: the other place doesn't sound like it serves you at all, 514 00:23:20,640 --> 00:23:23,480 Speaker 3: you know. So my assumption is if your your husband 515 00:23:23,840 --> 00:23:26,679 Speaker 3: likely has the good insurance enough for the both of you, 516 00:23:26,720 --> 00:23:28,560 Speaker 3: if he's the tacked to work at the boring job 517 00:23:28,600 --> 00:23:31,439 Speaker 3: for the good insurance. So you know, sometimes you know, 518 00:23:31,520 --> 00:23:35,760 Speaker 3: having one person in the family with the insurance job 519 00:23:36,240 --> 00:23:38,800 Speaker 3: is enough you get to fly if you're able. 520 00:23:39,280 --> 00:23:41,000 Speaker 1: You know, everyone doesn't have that opportunity. 521 00:23:41,040 --> 00:23:43,840 Speaker 3: So tangy girl, you know, with the with the mindset 522 00:23:43,840 --> 00:23:46,280 Speaker 3: of like, this might not be my last stop. I'm 523 00:23:46,280 --> 00:23:48,960 Speaker 3: gonna look to expand beyond this, but I'm leaving here 524 00:23:49,000 --> 00:23:50,840 Speaker 3: with the experience to be able to move to the 525 00:23:51,560 --> 00:23:52,199 Speaker 3: next space. 526 00:23:52,880 --> 00:23:55,399 Speaker 2: Absolutely, And even though the people at youre new at 527 00:23:55,400 --> 00:23:57,760 Speaker 2: this other job may seem oh they're older than me, 528 00:23:57,800 --> 00:23:59,680 Speaker 2: and maybe they won't be as fun, but think about 529 00:23:59,680 --> 00:24:01,840 Speaker 2: what their experience could do for you, what you could 530 00:24:01,880 --> 00:24:05,159 Speaker 2: learn from them. And also it's I mean, I've been 531 00:24:05,200 --> 00:24:07,040 Speaker 2: in jobs where it's fun to be at a young 532 00:24:07,119 --> 00:24:09,639 Speaker 2: company where everyone's around the same age and has the 533 00:24:09,680 --> 00:24:12,960 Speaker 2: same you know, beliefs in the same points of view, 534 00:24:13,040 --> 00:24:15,680 Speaker 2: and hangs out the same bars. But after a while 535 00:24:15,680 --> 00:24:17,399 Speaker 2: you're like, is there a grown up in this piece? 536 00:24:17,520 --> 00:24:20,439 Speaker 2: Like can we get some direction? It's nice to have 537 00:24:20,520 --> 00:24:22,560 Speaker 2: people with different levels of experience, so it may not 538 00:24:22,640 --> 00:24:25,800 Speaker 2: be totally negative that you're working with more seasoned people, 539 00:24:25,880 --> 00:24:28,360 Speaker 2: even if it seems maybe like not the best fit 540 00:24:28,400 --> 00:24:30,440 Speaker 2: for you, because you might feel like on the younger side, 541 00:24:30,600 --> 00:24:32,720 Speaker 2: everyone loves the young kid. Come on, I do. 542 00:24:34,040 --> 00:24:34,919 Speaker 1: They'll bring you food. 543 00:24:36,000 --> 00:24:39,600 Speaker 2: They'll bring your food. That is too true. Shout out 544 00:24:39,640 --> 00:24:42,320 Speaker 2: to fran at Reader's Digest, who was my first boss, 545 00:24:43,080 --> 00:24:45,360 Speaker 2: who used to bring this giant sandwich for us all 546 00:24:45,400 --> 00:24:49,560 Speaker 2: to share from his deli. Oh, I just had a flashback. 547 00:24:50,000 --> 00:24:51,679 Speaker 3: Because they always think that the young person doesn't have 548 00:24:51,680 --> 00:24:53,240 Speaker 3: any money for food, even though you're like, but I 549 00:24:53,280 --> 00:24:53,840 Speaker 3: work here with you. 550 00:24:58,000 --> 00:25:01,680 Speaker 2: Well, thanks for your question, good luck. Okay found the 551 00:25:01,720 --> 00:25:04,440 Speaker 2: next question. So this comes from listener. I guess she 552 00:25:04,480 --> 00:25:06,320 Speaker 2: wants to be anonymous. I'm not seeing a name here. 553 00:25:06,760 --> 00:25:09,040 Speaker 2: She wants to know. On our last episode last week, 554 00:25:09,119 --> 00:25:11,159 Speaker 2: we talked about some of our favorite credit cards. I 555 00:25:11,280 --> 00:25:14,360 Speaker 2: gushed about the credit card I'm using for my home renovation, 556 00:25:14,480 --> 00:25:17,640 Speaker 2: the City Double Cash Card, because it gives you ooh, 557 00:25:17,640 --> 00:25:19,400 Speaker 2: this is something that I wanted to clarify. I said, 558 00:25:19,400 --> 00:25:22,560 Speaker 2: it gives you two points back on your spending. But 559 00:25:22,640 --> 00:25:24,680 Speaker 2: it's one point when you purchase it, in one point 560 00:25:24,680 --> 00:25:26,280 Speaker 2: when you pay. So as long as you pay off 561 00:25:26,280 --> 00:25:29,320 Speaker 2: your expenses that you charge to the card, you do 562 00:25:29,400 --> 00:25:31,080 Speaker 2: get the two points back. But I wanted to clarify 563 00:25:31,080 --> 00:25:34,760 Speaker 2: that because I forgot that was the caveat Anyhow, sometimes 564 00:25:34,800 --> 00:25:37,040 Speaker 2: there's so many credit card options, So this listener wants 565 00:25:37,080 --> 00:25:39,600 Speaker 2: to know if she should use credit cards dot com 566 00:25:39,600 --> 00:25:42,280 Speaker 2: to check to search for the best credit card. She says, 567 00:25:42,280 --> 00:25:44,439 Speaker 2: I currently have a Bank of America credit card with 568 00:25:44,480 --> 00:25:46,520 Speaker 2: a five hundred dollars limit, and I'm looking for a 569 00:25:46,600 --> 00:25:49,680 Speaker 2: higher credit limit. I requested a credit increase from Bank 570 00:25:49,720 --> 00:25:52,760 Speaker 2: of America and it was denied. So which credit card 571 00:25:52,760 --> 00:25:55,240 Speaker 2: website should I use to find a card that gives 572 00:25:55,240 --> 00:25:56,160 Speaker 2: me a higher limit? 573 00:25:57,960 --> 00:26:00,000 Speaker 1: Well one, did they say why they denied you? 574 00:26:01,800 --> 00:26:03,399 Speaker 2: Did they ever do that when you get denied for 575 00:26:03,440 --> 00:26:06,439 Speaker 2: a credit card? Do they say? I don't think they do. 576 00:26:07,200 --> 00:26:07,280 Speaker 1: No. 577 00:26:07,600 --> 00:26:10,440 Speaker 3: I mean sometimes you can ask, but yeah, I mean, 578 00:26:10,640 --> 00:26:13,040 Speaker 3: I'm just wondering, is it because your credit scores now 579 00:26:13,040 --> 00:26:13,600 Speaker 3: where ought to be? 580 00:26:13,720 --> 00:26:15,000 Speaker 1: It's because of your income? 581 00:26:15,520 --> 00:26:18,240 Speaker 3: Because typically, right they ask you the questions they ask 582 00:26:18,280 --> 00:26:20,359 Speaker 3: you when you're asking for a limit. They want to 583 00:26:20,359 --> 00:26:23,359 Speaker 3: know like what your income is because they want to 584 00:26:23,359 --> 00:26:24,720 Speaker 3: know obviously can you pay it back? 585 00:26:24,800 --> 00:26:27,880 Speaker 2: So they need a reason to raise your limit out 586 00:26:27,880 --> 00:26:28,320 Speaker 2: of the blue? 587 00:26:28,600 --> 00:26:29,520 Speaker 1: Out of the blue exactly? 588 00:26:29,920 --> 00:26:32,160 Speaker 3: And if are you using your card in a way 589 00:26:32,240 --> 00:26:36,000 Speaker 3: that would reflect you needing another higher limit? You can 590 00:26:36,040 --> 00:26:38,600 Speaker 3: always apply for another card someplace else, and you know, 591 00:26:38,720 --> 00:26:40,879 Speaker 3: potentially get another limit, but then you're going to get 592 00:26:40,880 --> 00:26:43,000 Speaker 3: the inquiries, so you have to ask yourself, is it 593 00:26:43,040 --> 00:26:46,640 Speaker 3: worth losing a few points temporarily to open up another. 594 00:26:46,359 --> 00:26:51,119 Speaker 2: Card, knowing that she has a BAA card but the 595 00:26:51,119 --> 00:26:53,080 Speaker 2: limit of just five hundred dollars. I feel like we're 596 00:26:53,080 --> 00:26:55,960 Speaker 2: talking to someone who's like a beginner, yes, someone who 597 00:26:55,960 --> 00:26:58,000 Speaker 2: doesn't have a long history of credit. And it could 598 00:26:58,040 --> 00:27:00,280 Speaker 2: be that you got denied because your credit history it's 599 00:27:00,320 --> 00:27:03,000 Speaker 2: not long enough, or you've missed payments in the past, 600 00:27:03,280 --> 00:27:05,199 Speaker 2: or maybe they don't see any change in your income 601 00:27:05,280 --> 00:27:08,520 Speaker 2: or your credit score to justify increasing your limit. 602 00:27:09,520 --> 00:27:11,280 Speaker 3: It might be best. I mean, I know that you 603 00:27:11,280 --> 00:27:14,280 Speaker 3: already have a credit card. I mean you could look 604 00:27:14,320 --> 00:27:18,120 Speaker 3: into potentially, you know, getting a secured card to give 605 00:27:18,119 --> 00:27:20,640 Speaker 3: yourself a little extra boost, because they tend to right 606 00:27:20,720 --> 00:27:22,760 Speaker 3: after you do right by a secured card after six 607 00:27:22,800 --> 00:27:25,600 Speaker 3: months to a year to like like Superman when he 608 00:27:25,600 --> 00:27:28,720 Speaker 3: got his secured card, it was five hundred, and then 609 00:27:29,080 --> 00:27:31,400 Speaker 3: like after like six or eight months something like that, 610 00:27:31,440 --> 00:27:33,720 Speaker 3: he you know, he was he paid it off every 611 00:27:33,760 --> 00:27:35,800 Speaker 3: month and was doing right by it. So then they 612 00:27:37,160 --> 00:27:40,520 Speaker 3: they they brought him up to like a thousand and 613 00:27:40,560 --> 00:27:41,280 Speaker 3: fifteen hundred. 614 00:27:41,320 --> 00:27:42,160 Speaker 1: So I don't know how much. 615 00:27:42,080 --> 00:27:45,160 Speaker 3: You're looking for, but you're likely not going to get 616 00:27:45,200 --> 00:27:48,480 Speaker 3: to like, you know, three thousand dollars from five hundred 617 00:27:48,520 --> 00:27:51,119 Speaker 3: right away, because you're at five hundred for a reason. 618 00:27:52,400 --> 00:27:54,400 Speaker 3: So you might, you know, you might look into, like 619 00:27:54,400 --> 00:27:56,480 Speaker 3: like I said, getting a secured card and working it 620 00:27:56,520 --> 00:27:58,840 Speaker 3: that way. To me, the best secured cards are the 621 00:27:58,880 --> 00:28:02,639 Speaker 3: ones that are are given during banks, like from a 622 00:28:02,680 --> 00:28:05,320 Speaker 3: bank like, because then the bank will make the secured 623 00:28:05,320 --> 00:28:07,840 Speaker 3: card unsecured once you've used it properly and you don't 624 00:28:07,880 --> 00:28:10,399 Speaker 3: have to like apply for another card or you just 625 00:28:10,440 --> 00:28:12,120 Speaker 3: be you know, just be patient. 626 00:28:12,359 --> 00:28:14,520 Speaker 2: Like my guy says that if she's looking for a 627 00:28:14,560 --> 00:28:16,479 Speaker 2: card with a higher limit, she's trying to spend more 628 00:28:16,520 --> 00:28:19,360 Speaker 2: than five hundred dollars, And with secured cards, you put 629 00:28:19,400 --> 00:28:21,640 Speaker 2: money up front and then you kind of pay yourself 630 00:28:21,680 --> 00:28:24,760 Speaker 2: back over the year. So if she's wanting extra room, 631 00:28:24,800 --> 00:28:26,320 Speaker 2: and you have to ask yourself that too, like why 632 00:28:26,400 --> 00:28:28,119 Speaker 2: do you want to hire a credit limit? Is it 633 00:28:28,119 --> 00:28:30,520 Speaker 2: so you can charge something that you can't afford to 634 00:28:30,520 --> 00:28:33,680 Speaker 2: pay off right away? And if that's the case, maybe 635 00:28:33,720 --> 00:28:36,040 Speaker 2: it's better that you can't get one, because you know, 636 00:28:36,080 --> 00:28:38,000 Speaker 2: when you carry a balance like that, it ends up 637 00:28:38,000 --> 00:28:41,520 Speaker 2: being really expensive over time. You don't mention what your 638 00:28:41,560 --> 00:28:43,720 Speaker 2: credit score is. And if you know your credit score, 639 00:28:44,000 --> 00:28:45,680 Speaker 2: that can give you a sense of what types of 640 00:28:45,680 --> 00:28:48,880 Speaker 2: credit cards you can qualify for. It might even answer 641 00:28:48,880 --> 00:28:51,320 Speaker 2: the question of why you might have been denied for 642 00:28:52,760 --> 00:28:55,479 Speaker 2: a credit card increase. But a lot of there are 643 00:28:55,520 --> 00:28:57,760 Speaker 2: credit cards that are more stuited, that are more willing 644 00:28:57,800 --> 00:29:00,400 Speaker 2: to work with people with poor credit, you know, average 645 00:29:00,400 --> 00:29:02,880 Speaker 2: credit or excellent credit. Some credit cards you know you 646 00:29:02,920 --> 00:29:06,040 Speaker 2: have to have excellent credit. They never qualified you if 647 00:29:06,040 --> 00:29:10,160 Speaker 2: you didn't, but once so check your credit score. And 648 00:29:10,200 --> 00:29:13,000 Speaker 2: in terms of finding a card for you, credit cards 649 00:29:13,040 --> 00:29:16,960 Speaker 2: dot Com actually has a really cool tool called card Match, 650 00:29:17,000 --> 00:29:22,080 Speaker 2: which I love and I have no problem, you know, uh, 651 00:29:22,240 --> 00:29:24,080 Speaker 2: calling them out, shouting them out for that tool because 652 00:29:24,120 --> 00:29:25,880 Speaker 2: it's awesome. You put in a couple of details and 653 00:29:25,880 --> 00:29:27,760 Speaker 2: they kind of match you with the card that can 654 00:29:27,800 --> 00:29:29,680 Speaker 2: be a fit for you. So, if you know your 655 00:29:29,720 --> 00:29:31,680 Speaker 2: credit score, I assume they ask that they can probably 656 00:29:31,680 --> 00:29:35,160 Speaker 2: give you a sense of options for you. Just be 657 00:29:35,280 --> 00:29:38,680 Speaker 2: careful applying for new credit, like Tiff said, because you 658 00:29:38,760 --> 00:29:43,160 Speaker 2: will get dinged for it on your credit score. Earlier, 659 00:29:43,280 --> 00:29:45,120 Speaker 2: Tif you also you kind of hinted at this, like 660 00:29:45,240 --> 00:29:47,840 Speaker 2: are you are you using the card in a way 661 00:29:47,880 --> 00:29:50,160 Speaker 2: that they'd want to raise your limit. And by that, 662 00:29:50,680 --> 00:29:52,840 Speaker 2: do you mean like this happened to me? You know, 663 00:29:52,840 --> 00:29:55,360 Speaker 2: I had I had a really low limit card too, 664 00:29:55,520 --> 00:29:58,120 Speaker 2: but I kept getting I kept maxing it out but 665 00:29:58,120 --> 00:30:00,600 Speaker 2: then paying it off in full each month, and then 666 00:30:00,640 --> 00:30:02,600 Speaker 2: they were like, oh, here you go girl, and gave 667 00:30:02,600 --> 00:30:03,080 Speaker 2: me more ways. 668 00:30:03,120 --> 00:30:05,680 Speaker 3: Yeah, I was gonna say that because ultimately they're like, 669 00:30:05,720 --> 00:30:07,200 Speaker 3: let's just say I have five hundred dollars card and 670 00:30:07,240 --> 00:30:09,760 Speaker 3: you're swiping ten dollars a month on and paying it 671 00:30:09,800 --> 00:30:10,320 Speaker 3: off in full. 672 00:30:10,360 --> 00:30:11,600 Speaker 1: They're like, well, what do you need to hire a 673 00:30:11,640 --> 00:30:11,960 Speaker 1: limit for? 674 00:30:12,040 --> 00:30:14,200 Speaker 3: You don't use it anyway, So not that you have 675 00:30:14,280 --> 00:30:17,040 Speaker 3: to max it out, but using it, you know, like 676 00:30:18,400 --> 00:30:20,240 Speaker 3: the key is to pay it off every month, obviously 677 00:30:20,240 --> 00:30:23,120 Speaker 3: because you don't want to carry that balance and pay 678 00:30:23,160 --> 00:30:25,920 Speaker 3: that interest. But if you're not using it consistently in 679 00:30:25,960 --> 00:30:28,200 Speaker 3: a way that would make them say, hey, more of 680 00:30:28,240 --> 00:30:30,960 Speaker 3: a limit makes sense. And sometimes that's not necessarily true, 681 00:30:31,000 --> 00:30:32,840 Speaker 3: Like for example, I've got a card that I never 682 00:30:33,000 --> 00:30:35,920 Speaker 3: use and they keep bumping me up, so like I'm 683 00:30:35,920 --> 00:30:37,640 Speaker 3: at thirty thousand dollars now, and I tell you I 684 00:30:37,720 --> 00:30:39,120 Speaker 3: hurdly ever use that card, and it's a bank of. 685 00:30:39,120 --> 00:30:42,120 Speaker 1: America card, but also to two. 686 00:30:42,200 --> 00:30:45,880 Speaker 3: Sometimes cards will judge you on the usage of like 687 00:30:46,000 --> 00:30:48,360 Speaker 3: other things that you're doing. So I've got my As 688 00:30:48,400 --> 00:30:53,560 Speaker 3: my credit score raises, Bank of America was continuously increasing 689 00:30:53,640 --> 00:30:56,080 Speaker 3: my credit limit, So even though I wasn't really using 690 00:30:56,080 --> 00:30:59,640 Speaker 3: my card, my credit score was raising and it was 691 00:30:59,680 --> 00:31:01,920 Speaker 3: reflect it in that just like credit. When my credit 692 00:31:01,920 --> 00:31:06,479 Speaker 3: score declined, Bank of America actually lowered my because they're 693 00:31:06,520 --> 00:31:09,320 Speaker 3: able to do so, lowered my my card limit, and 694 00:31:09,360 --> 00:31:10,800 Speaker 3: so just be mindful of that. 695 00:31:10,960 --> 00:31:12,840 Speaker 1: It all comes down to a credit score and usage. 696 00:31:12,840 --> 00:31:16,920 Speaker 2: If you ask me, and if what you're wanting to 697 00:31:16,920 --> 00:31:19,120 Speaker 2: do is make a purchase that's higher than five hundred 698 00:31:19,160 --> 00:31:21,080 Speaker 2: dollars that you know you want to carry on the card, 699 00:31:21,520 --> 00:31:23,640 Speaker 2: if your credit score is good, I mean again, check 700 00:31:23,640 --> 00:31:26,400 Speaker 2: your credit score. There's a bunch of free tools out there. 701 00:31:26,520 --> 00:31:29,840 Speaker 2: Discover scorecard is a good one if you're if you're 702 00:31:29,880 --> 00:31:31,840 Speaker 2: looking to make a purchase and you want time to 703 00:31:31,880 --> 00:31:33,960 Speaker 2: pay it off, maybe that Bank of America card if 704 00:31:33,960 --> 00:31:36,680 Speaker 2: it charges interest, which I'm assuming it is. Maybe if 705 00:31:36,720 --> 00:31:39,000 Speaker 2: you have good credit, excellent credit, you may be able 706 00:31:39,000 --> 00:31:41,920 Speaker 2: to qualify for a card with a zero percent intro 707 00:31:42,040 --> 00:31:44,720 Speaker 2: APR for purchases which you know you can make a 708 00:31:44,760 --> 00:31:46,680 Speaker 2: purchase with and then pay it off without having those 709 00:31:46,680 --> 00:31:49,440 Speaker 2: interest charges up front. That's an option, maybe a better 710 00:31:49,480 --> 00:31:51,640 Speaker 2: option if what you're looking for is just, you know, 711 00:31:51,720 --> 00:31:53,600 Speaker 2: a more wiggle room, so you could make a big 712 00:31:53,640 --> 00:31:56,280 Speaker 2: purchase and pay it off over time. But of course, 713 00:31:56,440 --> 00:31:58,000 Speaker 2: just make sure you pay it off before the promo 714 00:31:58,040 --> 00:32:00,920 Speaker 2: period ends. I always feel like I'm just one asterisk 715 00:32:01,960 --> 00:32:05,360 Speaker 2: after the next. But credit cards are an awesome tool 716 00:32:05,440 --> 00:32:08,760 Speaker 2: when you use them wisely. I just like always get 717 00:32:08,800 --> 00:32:11,040 Speaker 2: nervous talking about them because I'm like, please, don't get 718 00:32:11,080 --> 00:32:16,120 Speaker 2: into credit cards dead Around the holidays. 719 00:32:26,800 --> 00:32:30,640 Speaker 3: It's time for breaking a boost and a break a boost. 720 00:32:31,280 --> 00:32:33,000 Speaker 3: Are you ready to break or boost? 721 00:32:33,320 --> 00:32:35,880 Speaker 2: I was born Ready? 722 00:32:36,280 --> 00:32:37,959 Speaker 1: Do you want to go where? Brown? Breaker? Boost? 723 00:32:38,040 --> 00:32:40,040 Speaker 2: I'll do first, because you're going to be positive. Mine's 724 00:32:40,040 --> 00:32:41,000 Speaker 2: going to be a little niggy. 725 00:32:41,960 --> 00:32:43,320 Speaker 3: I don't know, you know what I'm going to lean 726 00:32:43,320 --> 00:32:44,720 Speaker 3: toward positive. Well, we'll see, we'll see. 727 00:32:44,720 --> 00:32:47,200 Speaker 2: I'll let you go for it, Okay, mystery. So I 728 00:32:47,280 --> 00:32:49,600 Speaker 2: just wanted to share a stat Actually, we had someone 729 00:32:49,640 --> 00:32:51,800 Speaker 2: from my company in the office last week, someone from 730 00:32:51,840 --> 00:32:54,400 Speaker 2: the executive level, and we had a really interesting candid 731 00:32:54,440 --> 00:32:59,120 Speaker 2: conversation around the lack of women in leadership at our company, 732 00:32:59,120 --> 00:33:01,120 Speaker 2: and this is like a no thing at the company, 733 00:33:01,160 --> 00:33:03,120 Speaker 2: and it was great to hear him actually acknowledging it. 734 00:33:03,160 --> 00:33:05,200 Speaker 2: And he's not the first person I've heard acknowledge it. 735 00:33:05,240 --> 00:33:07,880 Speaker 2: Clearly they've been talked to by somebody. And I just 736 00:33:07,920 --> 00:33:12,320 Speaker 2: got an interesting just some statistics around women who actually 737 00:33:12,360 --> 00:33:16,440 Speaker 2: hold board seats and leadership seats in corporate America that 738 00:33:16,480 --> 00:33:19,240 Speaker 2: I wanted to share because it's really really depressing. And 739 00:33:19,320 --> 00:33:22,040 Speaker 2: while I feel like we've made big gains at least 740 00:33:22,040 --> 00:33:27,160 Speaker 2: in representation among employees at some companies, it's still really difficult. 741 00:33:27,200 --> 00:33:28,920 Speaker 2: And this just shows how difficult it can be to 742 00:33:28,920 --> 00:33:32,320 Speaker 2: actually get to the highest levels of leadership. So this 743 00:33:32,400 --> 00:33:34,840 Speaker 2: is a report by an organization called the Rising Tides. 744 00:33:35,040 --> 00:33:38,200 Speaker 2: They found that only four point three two percent of 745 00:33:38,240 --> 00:33:41,520 Speaker 2: board seats and four point oh seven percent of leadership's 746 00:33:41,760 --> 00:33:47,080 Speaker 2: leadership seats are held by non white women. They analyze 747 00:33:47,080 --> 00:33:51,600 Speaker 2: the composition of boards of directors and executive leadership team 748 00:33:52,040 --> 00:33:56,320 Speaker 2: teams at again the Fortune fifty companies. They were scored 749 00:33:56,400 --> 00:33:58,440 Speaker 2: on the placement of women, women of color, and people 750 00:33:58,480 --> 00:34:02,360 Speaker 2: of color on their boards of directors and leadership teams, 751 00:34:02,560 --> 00:34:06,720 Speaker 2: and this stat just really broke my little heart and 752 00:34:06,720 --> 00:34:11,279 Speaker 2: it also just made just was really sobering to think 753 00:34:11,360 --> 00:34:14,400 Speaker 2: that just four percent of and we're talking like board 754 00:34:14,400 --> 00:34:17,320 Speaker 2: seats and executive leadership. I mean, these are the real 755 00:34:17,440 --> 00:34:21,880 Speaker 2: decision makers in companies, and the fact that there's so 756 00:34:22,000 --> 00:34:25,640 Speaker 2: little progress and diversifying at the highest levels that these 757 00:34:25,640 --> 00:34:28,080 Speaker 2: major companies is you know, I don't think we were 758 00:34:28,239 --> 00:34:33,879 Speaker 2: like super surprised, but it is just four percent, Yeah, 759 00:34:33,920 --> 00:34:34,239 Speaker 2: it is. 760 00:34:35,880 --> 00:34:37,040 Speaker 1: Yeah, And that's why. 761 00:34:37,200 --> 00:34:40,040 Speaker 3: I mean, the work that you do with running your 762 00:34:40,080 --> 00:34:42,800 Speaker 3: team and the work that I do with running a business, 763 00:34:42,840 --> 00:34:45,000 Speaker 3: that that's why it's so critical to one be an 764 00:34:45,000 --> 00:34:47,359 Speaker 3: example of what's possible, but too to also bring women 765 00:34:47,520 --> 00:34:48,040 Speaker 3: on board. 766 00:34:48,080 --> 00:34:50,600 Speaker 2: You know, I hope that more companies. You know, in 767 00:34:50,640 --> 00:34:53,440 Speaker 2: Silicon Valley, there was a big movement around publishing your 768 00:34:53,480 --> 00:34:57,680 Speaker 2: diversity statistics, and we saw like Facebook and Google and Apple, 769 00:34:57,719 --> 00:35:00,359 Speaker 2: I think they all have published their diversity stats and 770 00:35:00,440 --> 00:35:02,239 Speaker 2: they were even worse. I think. I mean, I don't know, 771 00:35:02,840 --> 00:35:04,720 Speaker 2: maybe it was maybe I'm thinking of the wrong stat 772 00:35:04,760 --> 00:35:08,200 Speaker 2: but some of these companies like diversity was so so low, 773 00:35:08,360 --> 00:35:11,279 Speaker 2: but by publishing it, by by forcing each other to 774 00:35:11,320 --> 00:35:15,520 Speaker 2: publish it. It almost it's like you can't ignore the problem. 775 00:35:15,640 --> 00:35:17,200 Speaker 2: And I feel like that's the issue is like you, 776 00:35:17,560 --> 00:35:19,920 Speaker 2: especially at a company, you know, are you know, working 777 00:35:19,960 --> 00:35:22,480 Speaker 2: for companies as I have that have hundreds of employees, 778 00:35:22,760 --> 00:35:25,160 Speaker 2: it's hard for you to know just what the diversity 779 00:35:25,160 --> 00:35:28,080 Speaker 2: makeup is because you don't see everybody you know on 780 00:35:28,120 --> 00:35:33,040 Speaker 2: a continuous basis. So some companies are making moves to 781 00:35:33,040 --> 00:35:36,960 Speaker 2: to improve that. But you know, you're right. I mean, 782 00:35:37,280 --> 00:35:40,759 Speaker 2: we're sort of in small ways trying to fix that. 783 00:35:40,800 --> 00:35:42,640 Speaker 2: But I'm you know, I can only do what I 784 00:35:42,680 --> 00:35:45,200 Speaker 2: can do and vice versa. At a certain point, you 785 00:35:45,280 --> 00:35:48,520 Speaker 2: have to look to like the people, the people at 786 00:35:48,520 --> 00:35:52,120 Speaker 2: this level who are largely white, they need to realize 787 00:35:52,120 --> 00:35:53,960 Speaker 2: it and be and get on board. You know, we 788 00:35:54,000 --> 00:35:56,600 Speaker 2: can't do it ourselves for working from the ground up. 789 00:35:56,680 --> 00:35:58,879 Speaker 2: You know what we need is change from the top down. 790 00:35:59,520 --> 00:36:04,000 Speaker 1: Yeah, meet someplace in the middle. I agree, exact, I agree. Well, 791 00:36:04,040 --> 00:36:05,839 Speaker 1: I just have just a quick little boost. I thought 792 00:36:05,840 --> 00:36:06,719 Speaker 1: this is interesting. 793 00:36:06,800 --> 00:36:10,600 Speaker 3: Forbes reported that fifty eight percent of women elected to 794 00:36:10,719 --> 00:36:14,200 Speaker 3: Congress during our last minimer elections were girl scouts. How 795 00:36:14,239 --> 00:36:15,040 Speaker 3: interesting is that? 796 00:36:15,320 --> 00:36:19,880 Speaker 1: Oh that's cute for high but now and it just 797 00:36:19,920 --> 00:36:23,040 Speaker 1: basically says that, like, you know, basically, you know, girl Scouts. 798 00:36:22,640 --> 00:36:28,000 Speaker 3: Clearly they you know, they they they create leaders And 799 00:36:28,040 --> 00:36:31,239 Speaker 3: I just thought that that was really beautiful. So if 800 00:36:31,280 --> 00:36:33,840 Speaker 3: you've ever thought about putting your girl girl Scouts and 801 00:36:33,920 --> 00:36:36,440 Speaker 3: you think it might be in alignment, just know that, 802 00:36:36,480 --> 00:36:39,719 Speaker 3: you know, leadership is a is a clear tenant of 803 00:36:39,760 --> 00:36:41,239 Speaker 3: being a Girl Scout. And I just thought that that 804 00:36:41,320 --> 00:36:43,000 Speaker 3: was you know, that was really cute, right. 805 00:36:43,239 --> 00:36:45,040 Speaker 2: Yeah, shout out to girl Scouts. I mean, there wasn't 806 00:36:45,040 --> 00:36:47,800 Speaker 2: it a record number of women elected to the House 807 00:36:48,080 --> 00:36:50,319 Speaker 2: this year? It was House I think, yeah, House were 808 00:36:50,320 --> 00:36:54,200 Speaker 2: Senate one of them. Like dozens of women won seats 809 00:36:54,200 --> 00:36:56,440 Speaker 2: across the country, and that is that's a that's a 810 00:36:56,520 --> 00:36:59,400 Speaker 2: huge turning point, like the women waves they're calling it. 811 00:37:01,360 --> 00:37:03,440 Speaker 3: And then you saw it like in Texas, I think 812 00:37:03,480 --> 00:37:07,040 Speaker 3: it was like nineteen judge seats were up for election. 813 00:37:06,840 --> 00:37:09,600 Speaker 1: And nineteen women won them. I just thought that was awesome. 814 00:37:10,080 --> 00:37:11,719 Speaker 2: Oh, that's amazing mm hmm. 815 00:37:12,200 --> 00:37:16,080 Speaker 1: So there's definitely strides. I mean, you can only ripple, 816 00:37:16,200 --> 00:37:18,040 Speaker 1: you know, from where you are. Everyone's not going to 817 00:37:18,120 --> 00:37:18,960 Speaker 1: be on the world stage. 818 00:37:18,960 --> 00:37:20,759 Speaker 3: But if you ripple out where you are, you'd be 819 00:37:20,760 --> 00:37:24,040 Speaker 3: surprised how far I can go, So there's hope yet. 820 00:37:24,320 --> 00:37:27,200 Speaker 2: And also get your kids and girl Scouts, like stat. 821 00:37:28,160 --> 00:37:30,080 Speaker 3: Maybe so, I mean we couldn't afford girl Scouts. My 822 00:37:30,120 --> 00:37:34,759 Speaker 3: mom was like, yeah, no, but sounds cute. But I 823 00:37:34,760 --> 00:37:35,640 Speaker 3: mean that that's. 824 00:37:35,480 --> 00:37:38,480 Speaker 2: Why I had to drop out. My mom never told me. 825 00:37:39,040 --> 00:37:40,680 Speaker 3: She was like, yeah, girl, we don't have it anymore. 826 00:37:41,600 --> 00:37:43,480 Speaker 3: We just never I never joined, even though I wanted to. 827 00:37:43,520 --> 00:37:44,520 Speaker 3: I wanted to do brownies. 828 00:37:44,840 --> 00:37:45,600 Speaker 1: Remember Brownie. 829 00:37:45,840 --> 00:37:47,879 Speaker 2: I was a Brownie for like a year I think 830 00:37:47,920 --> 00:37:49,560 Speaker 2: in the first grade, and then never again. 831 00:37:50,280 --> 00:37:54,000 Speaker 1: Oh you know, well, so that's I saw my cookies. 832 00:37:54,920 --> 00:37:57,760 Speaker 3: That's my little end of the end of the Girls, 833 00:37:57,880 --> 00:38:01,879 Speaker 3: I mean end of the podcast, a little boost. Oh 834 00:38:01,920 --> 00:38:04,319 Speaker 3: and our first Lady or forever first Lady, her book 835 00:38:04,360 --> 00:38:04,839 Speaker 3: dropped again. 836 00:38:04,960 --> 00:38:06,440 Speaker 2: I was about the sales, like I need to go 837 00:38:06,480 --> 00:38:08,160 Speaker 2: because I have the audio book waiting for me, and 838 00:38:08,200 --> 00:38:11,719 Speaker 2: I can't wait. It's nineteen hours long. I did the math, 839 00:38:11,800 --> 00:38:13,520 Speaker 2: it'll take me like two weeks to get through it. 840 00:38:13,600 --> 00:38:15,680 Speaker 2: But I really just needed to hear her voice. So 841 00:38:15,719 --> 00:38:17,279 Speaker 2: I got the audiobook version. 842 00:38:17,520 --> 00:38:19,640 Speaker 3: And do you see, I was just so happy that 843 00:38:19,840 --> 00:38:22,399 Speaker 3: I did not notice that she too had a hard 844 00:38:22,440 --> 00:38:25,560 Speaker 3: time getting pregnant and had her both her daughters via IVF. 845 00:38:25,960 --> 00:38:29,719 Speaker 2: I say, yeah, I did see that. I thought that right, Yeah, 846 00:38:29,760 --> 00:38:31,960 Speaker 2: I tried to avoid spoilers, but I saw that headline. 847 00:38:32,239 --> 00:38:33,600 Speaker 3: Yeah, so I just thought that that was really I 848 00:38:34,120 --> 00:38:36,360 Speaker 3: was honestly really encouraged by that because I said, wow, 849 00:38:36,880 --> 00:38:39,120 Speaker 3: that was like, I'm glad that she shared it, and 850 00:38:39,120 --> 00:38:40,879 Speaker 3: she was just like, you know, as we as women, 851 00:38:41,360 --> 00:38:43,720 Speaker 3: sometimes you would just feel like if your body doesn't 852 00:38:43,760 --> 00:38:45,799 Speaker 3: do what it feels like it should naturally do, that 853 00:38:45,840 --> 00:38:49,040 Speaker 3: you've done something wrong. So it's just nice to see that, like, wow, 854 00:38:49,120 --> 00:38:51,520 Speaker 3: both of her daughters, and so I'm like, yay, I 855 00:38:51,760 --> 00:38:55,359 Speaker 3: start my first cycle, hopefully soon within the next within 856 00:38:55,400 --> 00:38:57,520 Speaker 3: a month. So a cycle is just like when they 857 00:38:57,520 --> 00:38:59,239 Speaker 3: take the egg and it takes berm, they put it 858 00:38:59,239 --> 00:39:03,160 Speaker 3: together and they they hopefully something happens. And so I 859 00:39:03,160 --> 00:39:06,240 Speaker 3: could be pregnant within a month. I could not who else, 860 00:39:06,480 --> 00:39:08,800 Speaker 3: So send me your baby dust. You guys have already 861 00:39:08,800 --> 00:39:15,560 Speaker 3: been doing. So I was gonna say, send any baby juices. 862 00:39:15,560 --> 00:39:21,440 Speaker 2: I was like, wait, baby dust, baby Jesus, you know 863 00:39:21,520 --> 00:39:23,800 Speaker 2: what I mean. Good vibes only