1 00:00:06,320 --> 00:00:10,119 Speaker 1: And now it's time for the b a qa a, 2 00:00:10,400 --> 00:00:17,479 Speaker 1: the b a qaa, the b a qami. Question and answer. 3 00:00:17,960 --> 00:00:21,520 Speaker 1: Y'all have questions, We have answers that cannot be taken 4 00:00:21,520 --> 00:00:25,680 Speaker 1: as legal advice lowercase a answers. 5 00:00:26,680 --> 00:00:30,680 Speaker 2: We have ideas and thoughts, and you cannot see us 6 00:00:30,680 --> 00:00:31,680 Speaker 2: for any of them. 7 00:00:31,760 --> 00:00:34,120 Speaker 1: Yes, because you got to ask your peoples, the people 8 00:00:34,200 --> 00:00:37,800 Speaker 1: that you give money to as financial advisor in them 9 00:00:37,840 --> 00:00:42,639 Speaker 1: your attorney, a doctor, your lawyer, whomever. But certainly take 10 00:00:42,680 --> 00:00:44,080 Speaker 1: what we stay with the green of salt, which is 11 00:00:44,440 --> 00:00:47,600 Speaker 1: two smart girls, two smart, smart brown girls on the internet, 12 00:00:47,720 --> 00:00:52,199 Speaker 1: just you know, given our thoughts. You know so. But 13 00:00:52,200 --> 00:00:53,840 Speaker 1: it's not a substitute for legal advice. 14 00:00:55,000 --> 00:00:58,240 Speaker 2: Yeah, absolutely not. Although this first one, I feel like 15 00:00:58,280 --> 00:01:00,600 Speaker 2: you could be a certified credit expert. I mean, this 16 00:01:00,760 --> 00:01:02,960 Speaker 2: is like you could probably give this kind of advice 17 00:01:03,000 --> 00:01:06,800 Speaker 2: in your sleep. That this comes from listener Regina, who 18 00:01:06,800 --> 00:01:09,880 Speaker 2: had a question about credit scores. Regina says, good evening. 19 00:01:09,920 --> 00:01:12,279 Speaker 2: I'm an avid listener of your show. I am learning 20 00:01:12,280 --> 00:01:17,360 Speaker 2: how my credit scores for Experience, TransUnion, and Equifax are 21 00:01:17,400 --> 00:01:20,559 Speaker 2: significantly higher than my Fyco score. How do I better 22 00:01:20,600 --> 00:01:23,040 Speaker 2: my Fyco score? Since it's used to measure so many 23 00:01:23,080 --> 00:01:25,880 Speaker 2: important things. Please advise when you can. Thank you so much. 24 00:01:25,920 --> 00:01:28,600 Speaker 1: Regina, Hey, Reggie, hope you don't mind to call you 25 00:01:28,680 --> 00:01:31,039 Speaker 1: that Gina. No, actually, Gina like Gina better. 26 00:01:31,120 --> 00:01:32,880 Speaker 2: I feel like she probably would mind if you called 27 00:01:32,920 --> 00:01:33,520 Speaker 2: her Reggie. 28 00:01:33,720 --> 00:01:38,560 Speaker 1: Reggie, that's kind of cue, right, Okay, whatever, Right, we're 29 00:01:38,600 --> 00:01:42,319 Speaker 1: just gonna call you Regina. Right. So Regina, Well, first 30 00:01:42,360 --> 00:01:45,280 Speaker 1: you have to just understand that there's five components to 31 00:01:45,319 --> 00:01:47,960 Speaker 1: your credit score. Actually had to pull this stuff because 32 00:01:47,920 --> 00:01:50,720 Speaker 1: my granny old mind can never remember the percentages except 33 00:01:50,760 --> 00:01:54,640 Speaker 1: for the first two. So thirty five percent is amount, No, 34 00:01:55,240 --> 00:01:57,880 Speaker 1: thirty five percent sorryest payment history. So that's the biggest 35 00:01:58,160 --> 00:02:00,800 Speaker 1: meaning do you pay the people, Regina or time Virginia 36 00:02:01,720 --> 00:02:03,600 Speaker 1: meaning they just want to know, like, are you a 37 00:02:03,720 --> 00:02:06,800 Speaker 1: regular on time payment person? And one of the ways 38 00:02:06,840 --> 00:02:11,120 Speaker 1: you can offset that, Regina, is to automate as many 39 00:02:11,480 --> 00:02:13,560 Speaker 1: bills as possible so you don't forget and you're not late. 40 00:02:13,800 --> 00:02:16,480 Speaker 1: I was late again this week for something I totally forgot. 41 00:02:16,760 --> 00:02:18,200 Speaker 1: My credit score is just going to look like I 42 00:02:18,200 --> 00:02:21,120 Speaker 1: don't know what I'm doing. Because there's a credit card 43 00:02:21,160 --> 00:02:23,200 Speaker 1: that I never use unless I travel, and then I 44 00:02:23,240 --> 00:02:25,880 Speaker 1: swiped it when I was overseas and I forgot because 45 00:02:25,880 --> 00:02:27,680 Speaker 1: I never use it, so I don't have automatic payment 46 00:02:27,680 --> 00:02:30,720 Speaker 1: on it and I forgot, So down goes my score temporarily. 47 00:02:31,080 --> 00:02:35,160 Speaker 1: So payment history thirty five percent automate payments to affect that. 48 00:02:35,240 --> 00:02:38,320 Speaker 1: Part of your Freyco score thirty percent of your Freight 49 00:02:38,360 --> 00:02:42,240 Speaker 1: Go score is amounts owed, often referred to to as 50 00:02:42,320 --> 00:02:46,640 Speaker 1: utilization that month means how much could you borrow versus 51 00:02:46,639 --> 00:02:49,360 Speaker 1: how much you actually borrowed. But they basically want to 52 00:02:49,360 --> 00:02:52,240 Speaker 1: look at your limits versus your balances. So if you 53 00:02:52,280 --> 00:02:57,320 Speaker 1: have a hundred dollars limit credit card, ideally you want 54 00:02:57,360 --> 00:03:01,320 Speaker 1: to keep the balance under thirty dollars dollars under thirty percent, 55 00:03:02,840 --> 00:03:06,160 Speaker 1: So they look at each individual card, but also cumulatively 56 00:03:06,200 --> 00:03:09,040 Speaker 1: at your cards, so the average. So if you've got 57 00:03:09,080 --> 00:03:12,560 Speaker 1: one card that you've got one hundred dollars limit on, 58 00:03:12,639 --> 00:03:14,800 Speaker 1: and another card that you have one hundred dollars limit on, 59 00:03:14,840 --> 00:03:17,480 Speaker 1: and one you're not using it all, and one you're using, 60 00:03:18,120 --> 00:03:21,960 Speaker 1: say like one hundred dollars balance on, So this card 61 00:03:21,960 --> 00:03:23,600 Speaker 1: you're maxed out, this one you're not using it all. 62 00:03:23,919 --> 00:03:26,839 Speaker 1: If you close then not used card, you went from 63 00:03:26,919 --> 00:03:29,480 Speaker 1: fifty percent utilization because you're only using half the money 64 00:03:29,520 --> 00:03:32,320 Speaker 1: that you have available to one hundred percent utilization, which 65 00:03:32,360 --> 00:03:35,839 Speaker 1: is going to bring your score down, down, down, down, 66 00:03:35,320 --> 00:03:39,160 Speaker 1: down down. So keep your utilization low. Basically, pay off 67 00:03:39,160 --> 00:03:43,200 Speaker 1: your debt. Okay, fifteen percent is length of credit history. 68 00:03:43,240 --> 00:03:44,800 Speaker 1: You just got to live a little longer and keep 69 00:03:44,800 --> 00:03:47,320 Speaker 1: your older cards open, you know, like if you have 70 00:03:47,360 --> 00:03:48,880 Speaker 1: one old card, that's what I like to just keep 71 00:03:48,880 --> 00:03:53,280 Speaker 1: one old card open. Ten percent is new credit, also 72 00:03:53,400 --> 00:03:55,560 Speaker 1: called inquiries. That just means the next time you go 73 00:03:55,560 --> 00:03:58,280 Speaker 1: to Marshalls, don't let them people run your credit just 74 00:03:58,320 --> 00:04:00,040 Speaker 1: to see if you can save ten percent on that. 75 00:04:00,840 --> 00:04:02,760 Speaker 1: You know, And in career, is anybody other than you 76 00:04:02,800 --> 00:04:05,120 Speaker 1: who looks into your credit and it brings down your score. 77 00:04:05,520 --> 00:04:08,120 Speaker 1: And then last is a credit mix. They just like 78 00:04:08,160 --> 00:04:10,120 Speaker 1: to see a mix that you have some like installment 79 00:04:10,160 --> 00:04:13,000 Speaker 1: loans like student loans, car no blah blah blah, and 80 00:04:13,040 --> 00:04:15,400 Speaker 1: also revolving debt like credit card debt. They just like 81 00:04:15,440 --> 00:04:17,279 Speaker 1: to see you have experience. You don't have to do 82 00:04:17,279 --> 00:04:19,640 Speaker 1: anything there, just live longer and as an adult you 83 00:04:19,720 --> 00:04:22,200 Speaker 1: have more of that. So ultimately, you want to pay 84 00:04:22,240 --> 00:04:25,200 Speaker 1: down debt and you want to be on time. So 85 00:04:25,360 --> 00:04:27,640 Speaker 1: here's a little trick that I found out how you 86 00:04:27,640 --> 00:04:29,919 Speaker 1: can trick the credit scoring system in a way that's 87 00:04:29,960 --> 00:04:33,600 Speaker 1: super legal. I call it my jump like Jordan method 88 00:04:34,200 --> 00:04:36,760 Speaker 1: because I'm forty two, so Jordan was the lebron of 89 00:04:36,800 --> 00:04:38,799 Speaker 1: the day. Actually, let me not even say that Jordan 90 00:04:38,920 --> 00:04:43,040 Speaker 1: was the Jordan's child. So here's what you do. You 91 00:04:43,080 --> 00:04:45,400 Speaker 1: go to your cheapest bill. For me, it was my 92 00:04:45,480 --> 00:04:48,200 Speaker 1: gym membership that I was never using at what's that place? 93 00:04:48,240 --> 00:04:52,120 Speaker 1: The gym membership is only ten bucks, Mandy, Planet Fitness. Yes, 94 00:04:52,160 --> 00:04:54,440 Speaker 1: Planet Fitness, that nine ninety nine gym membership that don't 95 00:04:54,440 --> 00:04:57,920 Speaker 1: nobody ever use. So I had that membership, and normally 96 00:04:57,920 --> 00:05:00,119 Speaker 1: that membership was just pulling the money directly from my 97 00:05:00,160 --> 00:05:02,359 Speaker 1: bank account. But I put a credit card that I 98 00:05:02,400 --> 00:05:05,599 Speaker 1: had a zero balance on in between. I said, Planet Fitness, 99 00:05:05,880 --> 00:05:09,360 Speaker 1: charge this card, and then I said, bank account, automatically 100 00:05:09,360 --> 00:05:12,440 Speaker 1: pay off the card every month. Something magical happens when 101 00:05:12,440 --> 00:05:14,960 Speaker 1: you pay off a debt in full every month. The 102 00:05:15,040 --> 00:05:18,640 Speaker 1: amount doesn't matter. It's the habit of paying off. They 103 00:05:18,800 --> 00:05:21,640 Speaker 1: like to see. That's that payment history. You paid off 104 00:05:21,680 --> 00:05:25,000 Speaker 1: a debt, even if it's five dollars five hundred five thousand, 105 00:05:25,080 --> 00:05:29,240 Speaker 1: five million, ideally five dollars, So you create that automatic 106 00:05:29,360 --> 00:05:32,279 Speaker 1: loop and you will start to see your credit score 107 00:05:32,400 --> 00:05:35,919 Speaker 1: start to jump like Jordan. Because your credit score is 108 00:05:35,960 --> 00:05:39,919 Speaker 1: your GPA. It is an average of your grades of 109 00:05:39,960 --> 00:05:42,520 Speaker 1: how you handle your money. So every time you pay 110 00:05:42,520 --> 00:05:44,640 Speaker 1: off your card in full, even if it's only five dollars, 111 00:05:44,720 --> 00:05:47,480 Speaker 1: you get an A. So the more age you get, 112 00:05:47,760 --> 00:05:50,040 Speaker 1: the more it will offset any of the bad grades 113 00:05:50,080 --> 00:05:51,760 Speaker 1: you got in the past. So if you do that, 114 00:05:52,720 --> 00:05:54,680 Speaker 1: Regina girl, you should be fine. 115 00:05:54,800 --> 00:05:56,880 Speaker 2: I think in Regina, George, you know what I was 116 00:05:56,920 --> 00:06:00,039 Speaker 2: wondering about her question too with fight Oh, there's like 117 00:06:00,080 --> 00:06:03,599 Speaker 2: a billion different FICO scores, So I'm wondering which Fyco 118 00:06:03,680 --> 00:06:06,680 Speaker 2: score she may be referring to here, because I mean 119 00:06:07,040 --> 00:06:12,040 Speaker 2: the FICO company or whatever, like, they sell their scores 120 00:06:12,120 --> 00:06:15,280 Speaker 2: to lenders as a way of like figuring out if 121 00:06:15,279 --> 00:06:18,800 Speaker 2: borrowers you know, or trustworthier which interest rate to give them. 122 00:06:18,800 --> 00:06:23,039 Speaker 2: In all of that, there's auto Fyco scores. There's I mean, 123 00:06:23,080 --> 00:06:26,000 Speaker 2: obviously we all know FICO is like the main score 124 00:06:26,080 --> 00:06:29,159 Speaker 2: used for mortgage lending, but there's an auto version of 125 00:06:29,160 --> 00:06:32,560 Speaker 2: your score. I was just looking it up. There's versions 126 00:06:32,560 --> 00:06:33,680 Speaker 2: of your score for. 127 00:06:34,200 --> 00:06:37,480 Speaker 1: Just like SPYCO eight FEL nine Yes. 128 00:06:37,960 --> 00:06:41,320 Speaker 2: Yeah, like right now, Auto score, bank cards score ten, 129 00:06:41,400 --> 00:06:44,880 Speaker 2: T score ten score nine score eight score eight. I 130 00:06:44,880 --> 00:06:48,599 Speaker 2: guess is the yeah. This this article says there's sixteen different, 131 00:06:48,960 --> 00:06:53,000 Speaker 2: sixteen distinct versions of the FICO score used by creditors. 132 00:06:53,800 --> 00:06:56,359 Speaker 2: And this is experience itself. And if you're using you 133 00:06:56,400 --> 00:06:59,880 Speaker 2: know those like credit score estimate apps like you men 134 00:07:00,200 --> 00:07:02,719 Speaker 2: one called score sense and your question. Also there's like 135 00:07:02,760 --> 00:07:07,120 Speaker 2: Credit Karma, credit Sesame. There's probably more that I don't remember, 136 00:07:07,760 --> 00:07:11,600 Speaker 2: and you know those are estimates and there if there's 137 00:07:11,640 --> 00:07:15,520 Speaker 2: significant differences between age, like I don't know, how could 138 00:07:15,560 --> 00:07:19,120 Speaker 2: I define significant like twenty five points or more, thirty 139 00:07:19,120 --> 00:07:23,160 Speaker 2: point points or more, then maybe there's something amiss with 140 00:07:23,200 --> 00:07:26,160 Speaker 2: one of your credit reports. And it's good to keep 141 00:07:26,200 --> 00:07:27,960 Speaker 2: tabs on all three of her credit reports that you 142 00:07:27,960 --> 00:07:29,960 Speaker 2: get from the three different bureaus that could explain what 143 00:07:30,040 --> 00:07:31,920 Speaker 2: Maybe one of your scores is a little bit different, 144 00:07:32,520 --> 00:07:35,280 Speaker 2: Like for example, if credit sess Tome is pulling your 145 00:07:35,320 --> 00:07:38,240 Speaker 2: score from a certain credit bureau and Credit Karma is 146 00:07:38,280 --> 00:07:41,480 Speaker 2: pulling it from another one and they're very different, then 147 00:07:41,520 --> 00:07:43,400 Speaker 2: I would check the one that's different and see if 148 00:07:43,400 --> 00:07:46,280 Speaker 2: something on your report that they're pulling it from. Has 149 00:07:46,560 --> 00:07:49,480 Speaker 2: there's an error or something hasn't fallen off quite yet. 150 00:07:50,600 --> 00:07:52,640 Speaker 2: But yeah, I just keep that in mind. And you know, 151 00:07:52,800 --> 00:07:55,200 Speaker 2: at the end of the day, if they're like close 152 00:07:55,320 --> 00:07:57,720 Speaker 2: enough to one another, I wouldn't stress out. I feel 153 00:07:57,720 --> 00:07:59,520 Speaker 2: like too much about it and like obsess over them 154 00:07:59,600 --> 00:08:00,800 Speaker 2: every sing on one matching. 155 00:08:01,600 --> 00:08:05,000 Speaker 1: I think they're never it's never all going to match. 156 00:08:05,000 --> 00:08:07,160 Speaker 1: And the truth is I have been like, you know, 157 00:08:07,240 --> 00:08:11,440 Speaker 1: a fifty point difference between my experience vers micro effects 158 00:08:11,520 --> 00:08:13,920 Speaker 1: versus I, you know, because the reason why there are 159 00:08:13,960 --> 00:08:16,560 Speaker 1: a number of FCO scores like eight, nine, ten, twelve 160 00:08:16,840 --> 00:08:19,800 Speaker 1: is that some of those scores have a heavier leaning 161 00:08:20,280 --> 00:08:23,559 Speaker 1: on different types of debt and activity than other scores don't. 162 00:08:23,680 --> 00:08:26,400 Speaker 1: So like the auto loan people might want to know, well, 163 00:08:26,560 --> 00:08:28,960 Speaker 1: I want to see how much that they have in 164 00:08:28,960 --> 00:08:32,000 Speaker 1: installment loans because auto payments tend to be installment loan. 165 00:08:32,040 --> 00:08:33,960 Speaker 1: So I want this type of FYCO score. And the 166 00:08:34,000 --> 00:08:35,920 Speaker 1: credit card people are like, well, we want to see 167 00:08:36,360 --> 00:08:39,559 Speaker 1: like a FIGHTO score that leans heavily on revolving debt 168 00:08:39,600 --> 00:08:42,640 Speaker 1: because we're revolving debt, because credit cards are revolving debt. 169 00:08:42,960 --> 00:08:45,160 Speaker 1: So ultimately your job is not to know all the 170 00:08:45,240 --> 00:08:47,960 Speaker 1: nuance is just to have a decent score in general, 171 00:08:48,000 --> 00:08:50,280 Speaker 1: and you should be fine across the board. I don't 172 00:08:50,320 --> 00:08:52,680 Speaker 1: worry about my score, like honestly, I'm probably gonna drop 173 00:08:52,720 --> 00:08:56,000 Speaker 1: like thirty stinking points for forgetting to pay make that payment, 174 00:08:56,040 --> 00:08:56,679 Speaker 1: But what do I care? 175 00:08:56,960 --> 00:08:58,920 Speaker 2: IM just call them and get them to like, not, 176 00:08:59,520 --> 00:09:00,640 Speaker 2: how do when is it? 177 00:09:00,760 --> 00:09:02,280 Speaker 1: So now it wasn't. I'm going to probably call Bank 178 00:09:02,320 --> 00:09:04,840 Speaker 1: of America and just say, oh, girl, I forgot. But 179 00:09:05,040 --> 00:09:06,640 Speaker 1: I never forget because I don't use the card. But 180 00:09:06,640 --> 00:09:08,640 Speaker 1: you're right. I could probably call them and say you 181 00:09:08,640 --> 00:09:10,760 Speaker 1: didn't report it, did you? Because they didn't say I 182 00:09:10,840 --> 00:09:13,080 Speaker 1: just logged on randomly No. I got an email. Bank 183 00:09:13,080 --> 00:09:14,880 Speaker 1: of America was like, girl, make a payment. I'm like 184 00:09:14,880 --> 00:09:18,240 Speaker 1: a payment and if my first instant was soone stole 185 00:09:18,320 --> 00:09:19,640 Speaker 1: my car and I was like, oh that's right, that 186 00:09:19,720 --> 00:09:23,400 Speaker 1: was me in Jordian. So but I went to make 187 00:09:23,400 --> 00:09:25,000 Speaker 1: a payment. It was like, girl, you're late, and I 188 00:09:25,040 --> 00:09:26,760 Speaker 1: was like, damn, So you're right. I probably will call 189 00:09:26,800 --> 00:09:28,320 Speaker 1: Bank of America and be like, don't tell all me. 190 00:09:28,720 --> 00:09:31,760 Speaker 1: But the truth is, I don't worry about my credit score, 191 00:09:32,840 --> 00:09:35,600 Speaker 1: like for real, unless I'm like I think to myself, 192 00:09:35,600 --> 00:09:37,480 Speaker 1: in the future, I need to borrow something, because that's 193 00:09:37,480 --> 00:09:40,680 Speaker 1: the purpose of it. Your credit score is so you 194 00:09:40,760 --> 00:09:44,280 Speaker 1: can qualify to borrow something at a good rate. I 195 00:09:44,280 --> 00:09:46,960 Speaker 1: don't like the car I have is paid off. I 196 00:09:46,960 --> 00:09:49,520 Speaker 1: don't have a mortgage, and so I'm not going to 197 00:09:49,559 --> 00:09:52,400 Speaker 1: be renting an apartment anytime soon. But certainly you want 198 00:09:52,440 --> 00:09:54,679 Speaker 1: to keep a decent credit score just in case. But 199 00:09:54,840 --> 00:09:57,560 Speaker 1: I wouldn't stress so much over him and just continue 200 00:09:57,600 --> 00:10:00,280 Speaker 1: to collect good quote unquote grades to off at that 201 00:10:00,320 --> 00:10:03,160 Speaker 1: credit GPA your score, so the more age you can get. 202 00:10:03,480 --> 00:10:06,400 Speaker 1: When my score felt significantly in my twenties, I actually 203 00:10:06,400 --> 00:10:08,400 Speaker 1: did that with two cards where I paid it off 204 00:10:08,440 --> 00:10:11,080 Speaker 1: every month in full, and that really helped to expedite 205 00:10:11,160 --> 00:10:16,600 Speaker 1: bringing my score up. So good good luck to you, Regina. 206 00:10:16,840 --> 00:10:19,320 Speaker 2: Good luck Regina. Thank you for your question, and we're 207 00:10:19,320 --> 00:10:21,160 Speaker 2: actually going to take a quick break when we come back. 208 00:10:21,200 --> 00:10:23,800 Speaker 2: We have another question that is just to your point, Tiffany, 209 00:10:23,880 --> 00:10:27,280 Speaker 2: talking about that delicate timeline when you want to do 210 00:10:27,360 --> 00:10:29,480 Speaker 2: something that you know is a little credit noddy that 211 00:10:29,520 --> 00:10:32,080 Speaker 2: could impact your chances of getting a good rate on 212 00:10:32,120 --> 00:10:32,920 Speaker 2: a future purchase. 213 00:10:33,000 --> 00:10:33,960 Speaker 1: Not naughty creditor. 214 00:10:36,200 --> 00:10:38,040 Speaker 2: We'll take a quick break and be right back with 215 00:10:38,040 --> 00:10:43,120 Speaker 2: more y'all's questions. All right, b a qa, we are 216 00:10:43,200 --> 00:10:45,640 Speaker 2: back with another one of your questions. Hit us up 217 00:10:45,640 --> 00:10:48,680 Speaker 2: at Brandanbission podcast dot com if you'd like to submit 218 00:10:48,720 --> 00:10:51,000 Speaker 2: a question. You can ask us anything there. You can 219 00:10:51,040 --> 00:10:53,800 Speaker 2: also slide into our dms on ig. We are at 220 00:10:53,840 --> 00:10:57,440 Speaker 2: brand Ambission Podcast on Instagram, or you can email us 221 00:10:57,480 --> 00:11:02,280 Speaker 2: Brandonbission Podcast at gmail dot com. All right, this one 222 00:11:02,320 --> 00:11:06,240 Speaker 2: comes from Yordiana. Yodiana says I was just or I 223 00:11:06,360 --> 00:11:09,360 Speaker 2: just recently got approved for an FAHA loan. The problem 224 00:11:09,480 --> 00:11:11,480 Speaker 2: is that for the market I got the loan in 225 00:11:12,160 --> 00:11:14,880 Speaker 2: the loan, which is four hundred and twenty thousand dollars, 226 00:11:15,000 --> 00:11:17,760 Speaker 2: is not enough for my big family. As an immigrant, 227 00:11:17,800 --> 00:11:20,640 Speaker 2: I'm the only one that qualifies at this point to 228 00:11:20,720 --> 00:11:23,480 Speaker 2: make this stream come true for my parents. I make 229 00:11:23,600 --> 00:11:26,440 Speaker 2: mid income at one hundred and sixty K, but I'm 230 00:11:26,480 --> 00:11:29,680 Speaker 2: not approved for a higher loan than what Fight goes 231 00:11:29,720 --> 00:11:31,920 Speaker 2: offering because my credit score is pretty low it's six 232 00:11:31,920 --> 00:11:35,000 Speaker 2: point fifty. I also got in a car accident back 233 00:11:35,000 --> 00:11:37,240 Speaker 2: in November, so I need to get a new car 234 00:11:37,480 --> 00:11:42,000 Speaker 2: and was waiting on purchasing a home until after the home. However, 235 00:11:42,080 --> 00:11:44,080 Speaker 2: now I'm thinking I should buy the car and wait 236 00:11:44,120 --> 00:11:48,319 Speaker 2: for the credit score to qualify me for a bigger loan. However, 237 00:11:48,559 --> 00:11:51,120 Speaker 2: would it be better to get the car and use 238 00:11:51,160 --> 00:11:54,600 Speaker 2: the down payment for that or hold on? Interest rates 239 00:11:54,600 --> 00:11:57,600 Speaker 2: are going up and gas prices are ridiculous. Thank you 240 00:11:57,720 --> 00:12:01,520 Speaker 2: so much for some contact. I work from home, so 241 00:12:01,600 --> 00:12:03,760 Speaker 2: I don't need a car, but maybe if I bought 242 00:12:03,760 --> 00:12:07,360 Speaker 2: a car it could help my credit score to Oh 243 00:12:07,480 --> 00:12:10,160 Speaker 2: this is juicy and juicy, where do we even start, 244 00:12:10,240 --> 00:12:11,360 Speaker 2: my goodness, Well. 245 00:12:11,200 --> 00:12:13,400 Speaker 1: One thing I think that she made a misstep on 246 00:12:13,640 --> 00:12:18,080 Speaker 1: is that your credit score is not the thing that's 247 00:12:18,120 --> 00:12:21,720 Speaker 1: affecting how much you can borrow. Your credit score is 248 00:12:21,720 --> 00:12:24,400 Speaker 1: really going to affect the rate at what you can borrow. 249 00:12:24,480 --> 00:12:26,760 Speaker 1: So I wanted to just for her for some clarity 250 00:12:26,960 --> 00:12:28,920 Speaker 1: that even if you got your credit score to eight fifty, 251 00:12:29,440 --> 00:12:31,600 Speaker 1: it doesn't mean they're going to let you borrow more 252 00:12:31,840 --> 00:12:36,520 Speaker 1: necessarily because you're borrowing the amount is really based upon 253 00:12:36,920 --> 00:12:40,920 Speaker 1: another score called your debt to income ratio, meaning how 254 00:12:41,000 --> 00:12:44,360 Speaker 1: much do you make versus how much do you spend 255 00:12:44,400 --> 00:12:46,400 Speaker 1: on debt every month? They want to just kind of 256 00:12:46,440 --> 00:12:50,280 Speaker 1: know do you have enough money to pay for this house. 257 00:12:50,480 --> 00:12:51,679 Speaker 1: And so even if you have an eight to fifty 258 00:12:51,720 --> 00:12:53,240 Speaker 1: credit score but you make two dollars a month, they're 259 00:12:53,240 --> 00:12:54,400 Speaker 1: not gonna be like, oh my god, with this eight 260 00:12:54,400 --> 00:12:56,280 Speaker 1: to fifty girl, were going you can buy a million 261 00:12:56,320 --> 00:12:58,719 Speaker 1: dollar house. It's like, no, you don't make enough. So 262 00:12:59,120 --> 00:13:01,079 Speaker 1: I just want to just make that clarity that, like, 263 00:13:01,280 --> 00:13:03,600 Speaker 1: they're not gonna let you necessarily borrow more because you 264 00:13:03,600 --> 00:13:05,320 Speaker 1: have a better credit score, but you will borrow at 265 00:13:05,360 --> 00:13:08,920 Speaker 1: a better rate, and you know it might bump you 266 00:13:09,000 --> 00:13:10,559 Speaker 1: up a little bit, like you know, because the rate 267 00:13:10,679 --> 00:13:13,600 Speaker 1: is better that you can afford to, like like your 268 00:13:13,720 --> 00:13:16,880 Speaker 1: your mortgage payment would be lower, and maybe you could 269 00:13:16,880 --> 00:13:18,840 Speaker 1: afford a little bit more house, but it won't make 270 00:13:18,840 --> 00:13:21,120 Speaker 1: it as significant as much of a difference as like 271 00:13:21,240 --> 00:13:24,120 Speaker 1: just making more. But I will say this what you 272 00:13:24,160 --> 00:13:26,679 Speaker 1: can think about since you have a big family. This 273 00:13:26,720 --> 00:13:28,959 Speaker 1: is what my husband and I and the time we're 274 00:13:28,960 --> 00:13:32,319 Speaker 1: thinking about is to get a multi family house because 275 00:13:32,360 --> 00:13:35,480 Speaker 1: what they will let you do is because for example, 276 00:13:35,640 --> 00:13:37,520 Speaker 1: same thing with Jarell. We were looking for a home 277 00:13:37,960 --> 00:13:40,840 Speaker 1: and I could not because I had a foreclosure that 278 00:13:40,920 --> 00:13:43,240 Speaker 1: was still active on my credit score. So they're like, girl, 279 00:13:43,320 --> 00:13:47,760 Speaker 1: kick Tiffany off this mortgage application. So what he was 280 00:13:47,800 --> 00:13:50,680 Speaker 1: able to afford wasn't as much as we wanted to 281 00:13:50,720 --> 00:13:53,120 Speaker 1: in order to purchase a home. But they're like, if 282 00:13:53,160 --> 00:13:55,840 Speaker 1: you get a multi family house, they will take the 283 00:13:55,960 --> 00:13:59,360 Speaker 1: rent that you'll get into consideration for more income. I 284 00:13:59,360 --> 00:14:02,040 Speaker 1: think it was about sixty percent. So let's just say, 285 00:14:03,080 --> 00:14:04,640 Speaker 1: let's just for easy numbers, at my house with making 286 00:14:04,640 --> 00:14:06,760 Speaker 1: one hundred thousand dollars a year, and they were like, 287 00:14:07,040 --> 00:14:09,000 Speaker 1: your rent was going to pay you for the house 288 00:14:09,640 --> 00:14:13,080 Speaker 1: one hundred and fifty thousand dollars. They would take sixty 289 00:14:13,120 --> 00:14:16,280 Speaker 1: percent of that and add it to his income to say, 290 00:14:16,480 --> 00:14:18,679 Speaker 1: when you live in this house, this rent is going 291 00:14:18,720 --> 00:14:22,240 Speaker 1: to help increase his income, and so we can include 292 00:14:22,240 --> 00:14:24,760 Speaker 1: that to allow you to afford more house. So consider 293 00:14:24,840 --> 00:14:27,520 Speaker 1: a multi family house and that rent might be able 294 00:14:27,560 --> 00:14:29,640 Speaker 1: to boost up what you could afford as far as 295 00:14:29,640 --> 00:14:32,840 Speaker 1: the house was concerned. So that's just something to think about. 296 00:14:33,920 --> 00:14:36,240 Speaker 2: Yeah, especially if she's like purchasing it sounds like a 297 00:14:36,240 --> 00:14:39,800 Speaker 2: house for her big family, Yeah, like multi generational. First 298 00:14:39,800 --> 00:14:40,960 Speaker 2: of all, I feel like my heart goes out to 299 00:14:40,960 --> 00:14:43,680 Speaker 2: her because that's a lot of burden, Yeah, for your shoulders, 300 00:14:43,680 --> 00:14:45,920 Speaker 2: And I feel like one sixty k sounds like so much, 301 00:14:45,960 --> 00:14:48,760 Speaker 2: but we know in this economy, like she mentions gas prices, 302 00:14:49,280 --> 00:14:52,560 Speaker 2: interest rates going up on mortgages, it's really freaking hard. 303 00:14:52,800 --> 00:14:54,640 Speaker 2: I question though, I'm like going back to her question 304 00:14:54,680 --> 00:14:57,120 Speaker 2: four hundred and twenty K, so I was just quickly 305 00:14:57,120 --> 00:15:00,160 Speaker 2: doing some googles to see so that's like the minimum 306 00:15:00,400 --> 00:15:03,000 Speaker 2: well faha loans again, like they're meant for the first 307 00:15:03,000 --> 00:15:05,720 Speaker 2: time home buyers. People with lower income and lower credit 308 00:15:05,720 --> 00:15:08,520 Speaker 2: scores can qualify, and you know, they're a great entryway 309 00:15:08,560 --> 00:15:12,360 Speaker 2: into home ownership, but because they are federally backed, they 310 00:15:12,400 --> 00:15:15,520 Speaker 2: have some limitations, and depending on where you live, the 311 00:15:15,640 --> 00:15:18,200 Speaker 2: limit for how much you can borrow can be capped. 312 00:15:18,320 --> 00:15:20,440 Speaker 2: So four twenty is at the lower side of that limit. 313 00:15:20,520 --> 00:15:22,720 Speaker 2: I wonder if she's not asking about what if she 314 00:15:22,800 --> 00:15:25,680 Speaker 2: wants to borrow additional on top of that four twenty, 315 00:15:25,720 --> 00:15:29,280 Speaker 2: because it's not enough to afford the like the size 316 00:15:29,320 --> 00:15:32,160 Speaker 2: of a home that she's wanting. And if that's the case, 317 00:15:32,200 --> 00:15:34,840 Speaker 2: that may explain where her credit score comes in, because 318 00:15:34,920 --> 00:15:38,600 Speaker 2: if you're getting like a jumbo faha, like that's actually possible. 319 00:15:38,640 --> 00:15:41,280 Speaker 2: So that's like when you there's a cap on how 320 00:15:41,360 --> 00:15:43,880 Speaker 2: much you can borrow with the product the faha loan 321 00:15:43,960 --> 00:15:46,680 Speaker 2: and if you want more because the home is do 322 00:15:46,680 --> 00:15:48,920 Speaker 2: you want four family members to live with? You need 323 00:15:48,920 --> 00:15:50,680 Speaker 2: to bring her home. It costs more than four twenty, 324 00:15:51,120 --> 00:15:52,920 Speaker 2: which Jesus like, you can't even get homes in my 325 00:15:52,960 --> 00:15:56,680 Speaker 2: neighbor for four twenty right now, is nuts? And anyway, 326 00:15:56,720 --> 00:15:57,000 Speaker 2: you talk. 327 00:15:56,880 --> 00:15:57,360 Speaker 1: About that later. 328 00:15:57,360 --> 00:16:01,440 Speaker 2: But so you would need an additional loan on top 329 00:16:01,480 --> 00:16:04,520 Speaker 2: of that four twenty And depending on the lender, they 330 00:16:04,560 --> 00:16:07,320 Speaker 2: may have credit score requirements to even approve you for 331 00:16:07,360 --> 00:16:11,360 Speaker 2: that loan. So I wonder if that's what she's saying. Okay, 332 00:16:11,800 --> 00:16:15,280 Speaker 2: but regardless like that, that would explain, you know, regardless 333 00:16:15,400 --> 00:16:19,520 Speaker 2: like getting a car, then for sure could hurt your 334 00:16:19,640 --> 00:16:23,080 Speaker 2: chances of getting approved for that higher loan. It's like 335 00:16:23,960 --> 00:16:26,840 Speaker 2: financial double dutch. I feel like every decision is financial 336 00:16:26,880 --> 00:16:28,440 Speaker 2: double dutch, Like when do I do this? 337 00:16:29,960 --> 00:16:32,200 Speaker 1: Like, well, no, I have to actually do it, like 338 00:16:32,320 --> 00:16:34,680 Speaker 1: really authentically. You gotta gotta hold your chest down. That's 339 00:16:34,720 --> 00:16:37,160 Speaker 1: how you knew you was grown. I want them to 340 00:16:37,200 --> 00:16:38,600 Speaker 1: be so bad. I wanted to be one of the 341 00:16:38,640 --> 00:16:41,160 Speaker 1: double chests girl because I had no chest and I 342 00:16:41,280 --> 00:16:44,960 Speaker 1: was like, oh my gosh, I mean you know they did. Yeah, 343 00:16:45,120 --> 00:16:47,120 Speaker 1: it was like because even though we had no chest 344 00:16:47,280 --> 00:16:50,640 Speaker 1: like this like a technique. No, it was like she's 345 00:16:50,640 --> 00:16:53,240 Speaker 1: supposed to be like, oh my god, I'm entering puberty 346 00:16:53,320 --> 00:16:55,200 Speaker 1: and like I have to hold my chest down. It's 347 00:16:55,200 --> 00:16:58,200 Speaker 1: too much. Meanwhile, we're all of eleven, like girl, what 348 00:16:58,280 --> 00:17:01,240 Speaker 1: are you doing? But no, you're right that that might 349 00:17:01,280 --> 00:17:06,439 Speaker 1: be the case, but consider multifamily, but also too The 350 00:17:06,560 --> 00:17:09,040 Speaker 1: problem is, like I said, that debt to income ratio, 351 00:17:09,640 --> 00:17:12,600 Speaker 1: purchasing a house is not just going I mean, purchasing 352 00:17:12,600 --> 00:17:15,080 Speaker 1: a car now is not just going to affect you know, 353 00:17:15,119 --> 00:17:17,720 Speaker 1: maybe your credit score, you know, because you're I'm assuming 354 00:17:17,720 --> 00:17:20,760 Speaker 1: you're gonna you know, finance and they're gonna have to 355 00:17:20,800 --> 00:17:22,600 Speaker 1: like run your credit that your credit score is going 356 00:17:22,640 --> 00:17:25,359 Speaker 1: to take a dip. But also now you are going 357 00:17:25,400 --> 00:17:27,439 Speaker 1: to affect your debt to income ratio because they're going 358 00:17:27,480 --> 00:17:31,280 Speaker 1: to say you owe someone else, Like mortgage companies are jealous. 359 00:17:31,400 --> 00:17:33,760 Speaker 1: They don't want you to have other booze. You have 360 00:17:33,760 --> 00:17:36,360 Speaker 1: to pay money to this, right, and so now you're 361 00:17:36,359 --> 00:17:40,399 Speaker 1: gonna oh, like, oh, you owe the car company tooown 362 00:17:40,520 --> 00:17:43,800 Speaker 1: no child. So I especially since you don't need a car, 363 00:17:44,359 --> 00:17:47,600 Speaker 1: you know, I would work really hard if if you're listening. Well, 364 00:17:47,600 --> 00:17:50,359 Speaker 1: obviously you're listening. The question before this talked about we 365 00:17:50,359 --> 00:17:52,320 Speaker 1: talked about how to raise your credit score. I would 366 00:17:52,400 --> 00:17:55,480 Speaker 1: lean into those techniques of raising my credit score and 367 00:17:55,680 --> 00:17:59,240 Speaker 1: work on the home. I would also consider like a 368 00:17:59,240 --> 00:18:01,199 Speaker 1: really great program. I like, I know you've been approved 369 00:18:01,200 --> 00:18:05,640 Speaker 1: for faha, but consider this program called NAKA. We talked 370 00:18:05,680 --> 00:18:09,560 Speaker 1: about it before. NACA's NACA NACA dot com stands for 371 00:18:10,520 --> 00:18:14,600 Speaker 1: the Neighborhood Assistance Corporation of America, and it sounds like 372 00:18:14,600 --> 00:18:16,800 Speaker 1: you're a first time home buyer. They will get you 373 00:18:16,920 --> 00:18:20,280 Speaker 1: even lower interest rates. It's a long process, but you 374 00:18:20,320 --> 00:18:21,919 Speaker 1: have to raise your credit score any races, so you 375 00:18:22,000 --> 00:18:25,919 Speaker 1: have SUN okay, but with NAKA you'll get like, you know, 376 00:18:26,040 --> 00:18:28,840 Speaker 1: I'll give you an example, maybe if interest rates were 377 00:18:28,880 --> 00:18:32,399 Speaker 1: currently So, my's brother in law is buying the house 378 00:18:32,440 --> 00:18:36,200 Speaker 1: that Drell and I purchased together for a rental property. 379 00:18:36,200 --> 00:18:37,840 Speaker 1: But I don't want to be a landlord. Drell wanted 380 00:18:37,880 --> 00:18:40,000 Speaker 1: to be a landlord, and so we're selling it to 381 00:18:40,040 --> 00:18:42,320 Speaker 1: his twin, which is awesome because he actually painted it 382 00:18:42,320 --> 00:18:45,200 Speaker 1: for us. He's a master painter, so it's like, you know, 383 00:18:45,359 --> 00:18:48,000 Speaker 1: this is great. The house gets to stay in a family. 384 00:18:48,200 --> 00:18:51,080 Speaker 1: He loves that house, but he was going for the 385 00:18:51,119 --> 00:18:53,400 Speaker 1: FAHA loan route, which he's got a good credit score. 386 00:18:53,480 --> 00:18:55,480 Speaker 1: And then my sister was like, don't forget about NACA. 387 00:18:55,880 --> 00:18:57,960 Speaker 1: Right now, interest rates are like five and a half 388 00:18:58,000 --> 00:19:01,040 Speaker 1: six percent. NACA is offering three and a half percent, 389 00:19:01,640 --> 00:19:05,920 Speaker 1: significantly lower. It's going to lower his monthly payments significantly. 390 00:19:06,320 --> 00:19:09,280 Speaker 1: And now it's a process because he won't be able 391 00:19:09,280 --> 00:19:12,000 Speaker 1: to close until like another like two or three months, 392 00:19:12,080 --> 00:19:14,280 Speaker 1: so it's like a six month process, but it's gonna 393 00:19:14,280 --> 00:19:16,399 Speaker 1: probably take you about six months to raise your credit score. 394 00:19:16,920 --> 00:19:19,040 Speaker 1: I would use that time sign up for NAKA now, 395 00:19:19,800 --> 00:19:22,600 Speaker 1: so maybe you can lock in an even lower interest rate. 396 00:19:22,600 --> 00:19:25,639 Speaker 1: I mean, I don't know what fat interest rates are 397 00:19:25,720 --> 00:19:27,800 Speaker 1: right now, but nacause are the lowest in the country. 398 00:19:27,840 --> 00:19:33,439 Speaker 1: So just consider NACA dot com. That's just not going 399 00:19:33,480 --> 00:19:35,080 Speaker 1: to offer their own type of loan. 400 00:19:35,119 --> 00:19:36,480 Speaker 2: Or is it like an FAH loan. 401 00:19:36,880 --> 00:19:39,320 Speaker 1: I've believe it's a they work with like cause it's 402 00:19:39,320 --> 00:19:41,600 Speaker 1: a it's a it's a federally back program. So I 403 00:19:41,640 --> 00:19:43,560 Speaker 1: think I'm like, is it an fat loan? I don't honestly, 404 00:19:43,600 --> 00:19:46,040 Speaker 1: I'm not sure who, how they or if they just 405 00:19:46,080 --> 00:19:49,080 Speaker 1: negotiate on your behalf, like you know, like, so I 406 00:19:49,119 --> 00:19:53,320 Speaker 1: don't know who the loan is through. If I'm being honest, 407 00:19:54,320 --> 00:19:55,720 Speaker 1: it's okay, yeah, but. 408 00:19:55,800 --> 00:19:58,159 Speaker 2: Still like worth looking into. And your credit score is 409 00:19:58,200 --> 00:20:00,320 Speaker 2: six fifty so you know, I feel like a hundred 410 00:20:00,359 --> 00:20:04,280 Speaker 2: points is your goal? Yep, right, seven fifty seven sixty. 411 00:20:04,000 --> 00:20:08,320 Speaker 1: Is it's perfect credit? Yep, perfect credit. It's the beginning 412 00:20:08,320 --> 00:20:09,679 Speaker 1: a perfect credit. You don't need to get the eight 413 00:20:09,760 --> 00:20:12,720 Speaker 1: hundred plus. Yeah, I mean, that's great if you do, 414 00:20:12,840 --> 00:20:15,920 Speaker 1: but it's not necessary. Yeah, it's great to brag. 415 00:20:16,359 --> 00:20:18,400 Speaker 2: My husband will just like turn his phone around sometimes 416 00:20:18,480 --> 00:20:21,800 Speaker 2: be like, look at this, you have a twelve concrat, 417 00:20:22,720 --> 00:20:26,080 Speaker 2: what are you going to do with it? But yodiyana, 418 00:20:26,160 --> 00:20:29,560 Speaker 2: you have a lot on your shoulders. Take your time, Okay. 419 00:20:29,600 --> 00:20:31,120 Speaker 2: At the end of the day, you're doing this great 420 00:20:31,119 --> 00:20:33,600 Speaker 2: thing for your family, but it's your finances on the line, 421 00:20:33,720 --> 00:20:35,760 Speaker 2: and it sounds like you are taking on a lot, 422 00:20:36,320 --> 00:20:38,439 Speaker 2: a lot, a lot, and in this market, it is 423 00:20:38,560 --> 00:20:41,360 Speaker 2: not easy, and I feel like you're definitely not alone. 424 00:20:41,520 --> 00:20:44,199 Speaker 2: My heart goes out to you. I wish someone who 425 00:20:44,280 --> 00:20:45,800 Speaker 2: making one to sixty would not have this kind of 426 00:20:45,880 --> 00:20:47,760 Speaker 2: issues buying a damn house in this country, but here 427 00:20:47,800 --> 00:20:49,399 Speaker 2: we are. But the best thing you can do is 428 00:20:49,440 --> 00:20:51,240 Speaker 2: to take your time and wait until it makes the 429 00:20:51,240 --> 00:20:55,359 Speaker 2: most financial sense for yourself. And I'm and sometimes it's 430 00:20:55,359 --> 00:20:57,040 Speaker 2: frustrating because it's not like when you want it to be. 431 00:20:57,080 --> 00:21:00,320 Speaker 2: And I get that, so thinking of you. Thank you 432 00:21:00,400 --> 00:21:03,160 Speaker 2: so much for your question. Hope that's helped in some way. 433 00:21:04,880 --> 00:21:07,280 Speaker 2: And we will see y'all next week from more b 434 00:21:07,400 --> 00:21:08,159 Speaker 2: a Q and A. 435 00:21:09,160 --> 00:21:11,560 Speaker 1: The b a q A is out b a u 436 00:21:11,720 --> 00:21:16,400 Speaker 1: qu q. Oh they have questions? Where can they ask them? 437 00:21:16,680 --> 00:21:21,040 Speaker 2: Brandivision podcast dot com or where else? Instagram, BRANDI Vision 438 00:21:21,040 --> 00:21:26,760 Speaker 2: Podcast on i G BRANDI Vision Podcast at gmail dot com. 439 00:21:26,800 --> 00:21:28,879 Speaker 2: You can find Tiffany what's your address? 440 00:21:28,920 --> 00:21:29,120 Speaker 1: Again? 441 00:21:30,400 --> 00:21:30,840 Speaker 2: Just kidding? 442 00:21:31,720 --> 00:21:37,600 Speaker 1: Look, I'm the worst. You didn't invite me and come 443 00:21:37,640 --> 00:21:40,000 Speaker 1: and come and get me at do do do? 444 00:21:40,200 --> 00:21:40,400 Speaker 2: Do? 445 00:21:40,400 --> 00:21:41,880 Speaker 1: Do? 446 00:21:40,600 --> 00:21:43,720 Speaker 2: Do you give any more hints about where you live? 447 00:21:43,880 --> 00:21:47,120 Speaker 2: I know yourself, I know, I know what neighborhood. She's 448 00:21:47,119 --> 00:21:48,280 Speaker 2: wearing a black hoodie? What else? 449 00:21:48,920 --> 00:21:51,040 Speaker 1: I was walking the other day at like this car 450 00:21:51,080 --> 00:21:52,920 Speaker 1: of like women pulled up. They're like, you know, sisters, 451 00:21:52,920 --> 00:21:55,639 Speaker 1: They were like, but it is that when you live 452 00:21:55,720 --> 00:21:58,760 Speaker 1: right here? Girl? I said no, and I can't walking. 453 00:21:59,080 --> 00:22:03,280 Speaker 1: I walked around the bosening a friend. I mean, they 454 00:22:03,080 --> 00:22:05,680 Speaker 1: seem safe, but you know, you're right to be given 455 00:22:05,680 --> 00:22:06,359 Speaker 1: to any hints. 456 00:22:06,400 --> 00:22:09,240 Speaker 2: But meanwhile, though I had had some neighbor I had 457 00:22:09,240 --> 00:22:11,600 Speaker 2: some like local moms over for cocktails on Friday, and 458 00:22:11,640 --> 00:22:13,600 Speaker 2: a couple of them I could see that I could. 459 00:22:13,720 --> 00:22:15,760 Speaker 2: I became a lot cooler to them when they found 460 00:22:15,760 --> 00:22:19,040 Speaker 2: out that I knew you. No, like yeah, because I 461 00:22:19,080 --> 00:22:20,800 Speaker 2: tell people what I do and then they are like, 462 00:22:20,880 --> 00:22:23,040 Speaker 2: wait a second, here's that thing with Tiffany. 463 00:22:23,720 --> 00:22:26,159 Speaker 1: I know Tiffany, Tiffany alish. 464 00:22:26,200 --> 00:22:31,880 Speaker 2: I'm like, it's a little but yeah. So that was fun. 465 00:22:31,920 --> 00:22:34,760 Speaker 2: It was fun for me. Thank you for it. Yeah, 466 00:22:34,840 --> 00:22:37,200 Speaker 2: thanks for thanks for Thanks for you for I could 467 00:22:37,240 --> 00:22:39,800 Speaker 2: know you so I can tell it our girls and 468 00:22:39,920 --> 00:22:45,520 Speaker 2: to make the older mothers trust me. Until next week, 469 00:22:45,560 --> 00:22:48,840 Speaker 2: y'all be well. Hey ba fam, we could not do 470 00:22:48,920 --> 00:22:51,439 Speaker 2: this show without your support or the support of our 471 00:22:51,480 --> 00:22:54,960 Speaker 2: team behind the scenes. The Brown Ambission podcast is produced 472 00:22:54,960 --> 00:22:56,600 Speaker 2: by Cumulus Podcast Network. 473 00:22:56,680 --> 00:22:57,800 Speaker 1: It's edited by the. 474 00:22:57,880 --> 00:23:02,480 Speaker 2: Wonderful Emani Crosby and produced by Tanya Bustos. Dennis Stimplinsky 475 00:23:02,600 --> 00:23:05,280 Speaker 2: is our in house tech curu, and I am Bandy 476 00:23:05,280 --> 00:23:08,399 Speaker 2: Woodard Santos, your co host, and I will see y'all 477 00:23:08,440 --> 00:23:12,760 Speaker 2: next week.