1 00:00:01,240 --> 00:00:04,320 Speaker 1: So did you know that having a credit score now 2 00:00:04,400 --> 00:00:09,320 Speaker 1: means that it is a racist credit score? Yeah, this 3 00:00:09,440 --> 00:00:12,360 Speaker 1: is the new definition of racism in America today. Anything 4 00:00:12,400 --> 00:00:15,160 Speaker 1: you don't like, even if it has nothing to do 5 00:00:15,200 --> 00:00:17,919 Speaker 1: with race, you say it is racist and therefore you 6 00:00:18,000 --> 00:00:20,599 Speaker 1: must get rid of it. The Joe Biden White House 7 00:00:20,760 --> 00:00:23,160 Speaker 1: is now saying they want to shut down the major 8 00:00:23,239 --> 00:00:27,040 Speaker 1: credit bureaus because they believe that it's racist to give 9 00:00:27,080 --> 00:00:31,600 Speaker 1: people a credit score. They have moved because of a 10 00:00:31,640 --> 00:00:34,680 Speaker 1: paper that was published talking about how it's wrong to 11 00:00:35,440 --> 00:00:39,640 Speaker 1: have people's decisions being made based on a credit data. 12 00:00:39,720 --> 00:00:43,640 Speaker 1: And they say it actually hurts and it adds for 13 00:00:43,720 --> 00:00:47,040 Speaker 1: a spread in the existing racial inequality in this country. 14 00:00:47,720 --> 00:00:50,640 Speaker 1: They say it makes it harder because we have credit 15 00:00:50,680 --> 00:00:54,840 Speaker 1: scores in this country to achieve true economic equality if 16 00:00:54,880 --> 00:00:58,800 Speaker 1: you are black or brown. Their words, not mine. The 17 00:00:59,480 --> 00:01:06,880 Speaker 1: new acting director of the CFPD, who recently replaced Donald 18 00:01:06,880 --> 00:01:10,840 Speaker 1: Trump's appointee, put out in a statement on a blog 19 00:01:11,840 --> 00:01:14,640 Speaker 1: he has two main priorities that he would do. Number 20 00:01:14,640 --> 00:01:18,640 Speaker 1: one relief for consumers facing hardship due to COVID nineteen 21 00:01:19,440 --> 00:01:24,880 Speaker 1: and the related economic crisis, and two racial equity. But 22 00:01:25,000 --> 00:01:27,919 Speaker 1: nowhere does a statement specifically mentioned the ideas of public 23 00:01:27,920 --> 00:01:31,160 Speaker 1: credit reporting agencies. Don't worry, We're now getting it from 24 00:01:31,160 --> 00:01:33,640 Speaker 1: White House insiders who are saying this is exactly what 25 00:01:33,720 --> 00:01:37,959 Speaker 1: they want. The three primary reporting agencies do something. It's 26 00:01:37,959 --> 00:01:40,559 Speaker 1: pretty simple. If you've ever had to get your credit 27 00:01:40,640 --> 00:01:44,199 Speaker 1: check for anything, you know how it works. These three 28 00:01:44,200 --> 00:01:50,440 Speaker 1: credit agencies analyze your borrowing and your repayment patterns. You 29 00:01:50,520 --> 00:01:54,400 Speaker 1: may not like it, but they do. They then assign 30 00:01:54,480 --> 00:01:59,160 Speaker 1: you a score based on your borrowing and repayment patterns. 31 00:02:00,720 --> 00:02:04,360 Speaker 1: How much money you have already borrowed, how at risk 32 00:02:04,440 --> 00:02:06,760 Speaker 1: or you have not paying it back, how much credit 33 00:02:06,800 --> 00:02:09,640 Speaker 1: have you use. There's all of these things that go 34 00:02:09,720 --> 00:02:13,440 Speaker 1: into the score they assign you. They assign scores that 35 00:02:13,480 --> 00:02:17,200 Speaker 1: are then used to assess you as a person and 36 00:02:17,320 --> 00:02:20,560 Speaker 1: your credit worthiness. In other words, how risky are you? 37 00:02:21,040 --> 00:02:25,359 Speaker 1: How much money should someone let you borrow? And that 38 00:02:25,440 --> 00:02:28,400 Speaker 1: number can change based on the number amount that you're 39 00:02:28,440 --> 00:02:33,720 Speaker 1: wanting to borrow. Now, the Biden administration says it's unfair 40 00:02:33,760 --> 00:02:36,560 Speaker 1: that this can quote affect your access to an apartment 41 00:02:37,320 --> 00:02:40,200 Speaker 1: or your ability to hold certain jobs, in addition to 42 00:02:40,240 --> 00:02:43,360 Speaker 1: the amount that you can borrow, and also the interest 43 00:02:43,440 --> 00:02:46,920 Speaker 1: rates that they charge you. They say it's big business 44 00:02:47,120 --> 00:02:51,520 Speaker 1: enough to support three public companies, therefore it's terrible. Now, 45 00:02:51,639 --> 00:02:53,280 Speaker 1: let me explain to you the other side of this 46 00:02:53,360 --> 00:02:56,639 Speaker 1: real quick. If I'm giving my money to a bank 47 00:02:56,800 --> 00:03:01,480 Speaker 1: or a lending institution to let you borrow money, I 48 00:03:01,639 --> 00:03:03,920 Speaker 1: want to know that they're not a bunch of idiots 49 00:03:04,400 --> 00:03:06,160 Speaker 1: letting a bunch of people borrow money that are not 50 00:03:06,160 --> 00:03:08,480 Speaker 1: going to pay it back, and then I lose my investment. 51 00:03:08,800 --> 00:03:11,520 Speaker 1: Because when you borrow money, you're borrowing it from someone, 52 00:03:11,680 --> 00:03:14,320 Speaker 1: right not the government necessarily. I want to make that clear. 53 00:03:14,639 --> 00:03:17,560 Speaker 1: You're borrowing it from investors. Are people that bank at 54 00:03:17,560 --> 00:03:22,799 Speaker 1: a certain bank, and as a member of that bank, 55 00:03:22,880 --> 00:03:26,400 Speaker 1: as a member of that company that borrow that lends money, 56 00:03:27,000 --> 00:03:29,120 Speaker 1: I'm looking for a return on my investment, on the 57 00:03:29,160 --> 00:03:32,400 Speaker 1: money that I have made. I want to make sure 58 00:03:32,720 --> 00:03:36,840 Speaker 1: that your portfolio of what you are lending out is 59 00:03:36,880 --> 00:03:42,200 Speaker 1: a portfolio that is appropriate. I want to make sure 60 00:03:42,240 --> 00:03:45,200 Speaker 1: that the portfolio is not just going to a bunch 61 00:03:45,240 --> 00:03:48,600 Speaker 1: of high risk people that usually are traditionally have walked 62 00:03:48,600 --> 00:03:52,080 Speaker 1: away from money when they borrowed it, or from car 63 00:03:52,160 --> 00:03:55,360 Speaker 1: notes and they borrowed it, or houses when they borrowed it. 64 00:03:55,520 --> 00:03:58,160 Speaker 1: Or credit cards that they've jacked up and then it 65 00:03:58,200 --> 00:04:01,920 Speaker 1: has disappeared, right, they decide not to pay it back. 66 00:04:02,000 --> 00:04:04,800 Speaker 1: That would be my worst nightmare as an individual that's 67 00:04:04,800 --> 00:04:07,320 Speaker 1: trying to, you know, lend money. I don't want to 68 00:04:07,360 --> 00:04:09,200 Speaker 1: lend it to all high risk people. I want there 69 00:04:09,240 --> 00:04:12,480 Speaker 1: to be a diversified portfolio. I think you guys now 70 00:04:12,560 --> 00:04:17,320 Speaker 1: understand my point on this. Most people want there to 71 00:04:17,360 --> 00:04:20,960 Speaker 1: be a diversified portfolio. Now, if you do what this 72 00:04:21,040 --> 00:04:24,760 Speaker 1: administration is deciding to do, let me be clear about 73 00:04:24,760 --> 00:04:28,400 Speaker 1: what's going to happen. People are just going to stop 74 00:04:28,480 --> 00:04:32,280 Speaker 1: lending money to people that are poor, regardless of their race. 75 00:04:32,480 --> 00:04:36,120 Speaker 1: That won't matter because they're going to take that risk 76 00:04:36,200 --> 00:04:37,920 Speaker 1: off the table. In fact, if you want to talk 77 00:04:37,920 --> 00:04:40,479 Speaker 1: about profile, and let me tell you about another major 78 00:04:40,520 --> 00:04:43,560 Speaker 1: profile that will happen, they'll start profiling you based on 79 00:04:43,640 --> 00:04:47,479 Speaker 1: your age. Is it higher risk to lend money to 80 00:04:47,560 --> 00:04:52,400 Speaker 1: a twenty six year old newly married couple that's wide 81 00:04:52,440 --> 00:04:55,039 Speaker 1: eyed and bushytown, has no idea how the world works 82 00:04:55,040 --> 00:04:56,760 Speaker 1: and they're madly in love than it is to lend 83 00:04:56,800 --> 00:04:59,480 Speaker 1: it to a fifty five year old I'm picking a 84 00:04:59,560 --> 00:05:03,800 Speaker 1: fifty five year old, right, I'm going to start profiling 85 00:05:03,839 --> 00:05:07,560 Speaker 1: you as a person, about your job, your success, how 86 00:05:07,600 --> 00:05:10,520 Speaker 1: long you've been paying back loans compared to how young 87 00:05:10,560 --> 00:05:14,800 Speaker 1: your loans may be. You're higher risk, right if I 88 00:05:14,839 --> 00:05:17,560 Speaker 1: don't have this information, So therefore, I'm not going to 89 00:05:17,600 --> 00:05:22,360 Speaker 1: take the risk on you. Why risk lending you money? 90 00:05:22,400 --> 00:05:26,719 Speaker 1: What's the point of making a being risky? There's no 91 00:05:26,800 --> 00:05:30,680 Speaker 1: reason for me to take a risk on you, no 92 00:05:30,760 --> 00:05:35,480 Speaker 1: reason at all. Doesn't make any sense. I don't want 93 00:05:35,800 --> 00:05:38,680 Speaker 1: to lend you money if you're risky. So if I 94 00:05:38,720 --> 00:05:40,880 Speaker 1: think that you're risky, I'm going to just say I'm 95 00:05:40,920 --> 00:05:44,800 Speaker 1: done with you. I'm not going to do it. So 96 00:05:45,400 --> 00:05:47,080 Speaker 1: to the liberals out there, I think this is going 97 00:05:47,120 --> 00:05:50,479 Speaker 1: to fix some problem. It's not. Money, by the way, 98 00:05:50,560 --> 00:05:52,480 Speaker 1: is everything when it comes to lending, and people need 99 00:05:52,520 --> 00:05:57,120 Speaker 1: to also understand that money is everything. I'll give you 100 00:05:57,120 --> 00:05:59,080 Speaker 1: a great example of how race has nothing to do 101 00:05:59,160 --> 00:06:00,880 Speaker 1: with people getting money. It has to do with a 102 00:06:00,920 --> 00:06:04,680 Speaker 1: credit score. Let's take an example of the Marxist Black 103 00:06:04,680 --> 00:06:08,359 Speaker 1: Lives Matter co founder. She's got a bunch of money 104 00:06:08,360 --> 00:06:11,480 Speaker 1: coming in because apparently Black Lives Matter is making her 105 00:06:11,520 --> 00:06:15,880 Speaker 1: some cash. That founder co founder has bought four different 106 00:06:15,920 --> 00:06:24,719 Speaker 1: homes since twenty sixteen. This woman, Missus Colors, one of 107 00:06:24,720 --> 00:06:27,240 Speaker 1: the co founders of Black Lives Matter movement and a 108 00:06:27,320 --> 00:06:30,960 Speaker 1: train markis Marxist, is reported to have bought four homes 109 00:06:30,960 --> 00:06:34,159 Speaker 1: over the past several years as her activist profile grew 110 00:06:34,279 --> 00:06:37,800 Speaker 1: and protests raged around the country. Last week, the real 111 00:06:37,920 --> 00:06:40,760 Speaker 1: estate website dot com report that the thirty seven year 112 00:06:40,800 --> 00:06:44,000 Speaker 1: old social justice visionary have bought a one point four 113 00:06:44,040 --> 00:06:49,279 Speaker 1: million dollar compound in a remote Los Angeles neighborhood nestled 114 00:06:49,320 --> 00:06:53,040 Speaker 1: deep in the Santa Monica Mountains. By the way, I 115 00:06:53,040 --> 00:06:54,599 Speaker 1: don't have a problem with her buying this, want to 116 00:06:54,600 --> 00:06:57,760 Speaker 1: be clear. In LA terms, at one point four million 117 00:06:57,839 --> 00:07:02,080 Speaker 1: is not necessarily extravagant, though the activists took criticism for 118 00:07:02,120 --> 00:07:04,280 Speaker 1: spending what would be a fortune in most other real 119 00:07:04,400 --> 00:07:07,479 Speaker 1: estate markets, and for buying in a largely white neighborhood 120 00:07:07,480 --> 00:07:10,559 Speaker 1: after urging people to buy black. Her words, not mine. 121 00:07:11,760 --> 00:07:13,760 Speaker 1: Now she's bought four homes. Do you think they're looking 122 00:07:13,760 --> 00:07:15,560 Speaker 1: at the color of skin? Of course not. They're looking 123 00:07:15,600 --> 00:07:19,920 Speaker 1: at the money she's making. That's why we have credit scores. 124 00:07:19,960 --> 00:07:23,760 Speaker 1: By the way, she benefited from those credit scores. Let's 125 00:07:23,800 --> 00:07:31,280 Speaker 1: talk about racism here. Black Lives Matter, Marxist co founder 126 00:07:32,360 --> 00:07:35,239 Speaker 1: has had no problem buying four homes since twenty nineteen. 127 00:07:36,240 --> 00:07:38,920 Speaker 1: This is a woman who told people to buy black. 128 00:07:40,000 --> 00:07:44,520 Speaker 1: That's right, she's buying in white neighborhoods. I'm talking about statistically, 129 00:07:45,080 --> 00:07:47,679 Speaker 1: while she's telling everybody else to buy black. Black Lives 130 00:07:47,680 --> 00:07:51,160 Speaker 1: Matter created a buy Black map of black businesses, saying, 131 00:07:51,160 --> 00:07:52,560 Speaker 1: don't give any of your mind to white people. But 132 00:07:52,600 --> 00:07:55,400 Speaker 1: she's buying in predominantly white neighborhoods, which is amazing the 133 00:07:55,480 --> 00:07:59,280 Speaker 1: hypocrisy there, but this initiative completely. A link to a 134 00:07:59,360 --> 00:08:03,280 Speaker 1: map of black owned businesses was posted it to Black 135 00:08:03,320 --> 00:08:05,800 Speaker 1: Lives Matter with an accusation that the black community is 136 00:08:05,880 --> 00:08:09,120 Speaker 1: under attack quote unquote, it's more important ever to buy 137 00:08:09,200 --> 00:08:12,840 Speaker 1: local and buy black. Yeah to leftist activist group and 138 00:08:12,840 --> 00:08:17,040 Speaker 1: advertising agency blasts out news of their campaign on social media. 139 00:08:17,240 --> 00:08:20,480 Speaker 1: The map of Backing Black Businesses dot Com appears to 140 00:08:20,560 --> 00:08:23,440 Speaker 1: highlight more than twenty businesses in the Greater LA region 141 00:08:23,520 --> 00:08:25,680 Speaker 1: where she is. And then they got a bunch of 142 00:08:25,680 --> 00:08:27,360 Speaker 1: other places around the country they're doing this as well, 143 00:08:27,400 --> 00:08:31,480 Speaker 1: like Sacramento and Denver, Denver in Minneapolis, Chicago, Baton Rouge, Birmingham, Atlanta, 144 00:08:31,520 --> 00:08:38,040 Speaker 1: Madison Georgia. The list goes on and on. Black Lives 145 00:08:38,080 --> 00:08:41,760 Speaker 1: Matter co founder said you gotta buy black. Well, apparently 146 00:08:41,920 --> 00:08:44,880 Speaker 1: she's saying you do that and I'll do it differently. Now. 147 00:08:44,920 --> 00:08:46,959 Speaker 1: My point is she's having no problem getting loans, I 148 00:08:46,960 --> 00:08:49,640 Speaker 1: would assume unless she's paying cash for these houses. But 149 00:08:49,720 --> 00:08:52,840 Speaker 1: the New York Post is reported now that she bought 150 00:08:52,920 --> 00:08:56,880 Speaker 1: a five hundred ten thousand our home there in twenty sixteen, 151 00:08:56,920 --> 00:08:59,440 Speaker 1: which was worth about eight hundred thousand today. She also 152 00:08:59,480 --> 00:09:02,320 Speaker 1: bought a six hundred thousand dollars home in South Los Angeles. 153 00:09:02,880 --> 00:09:04,920 Speaker 1: They say it's worth more than seven hundred twenty today. 154 00:09:04,960 --> 00:09:07,640 Speaker 1: And then she bought a ranch in rural Georgia last 155 00:09:07,720 --> 00:09:10,360 Speaker 1: year for about a half million. It even featured a 156 00:09:10,400 --> 00:09:15,880 Speaker 1: private airplane hanger with a studio apartment above it. This 157 00:09:16,160 --> 00:09:19,240 Speaker 1: is the co founder Marxist the Black Lives Matter. Notice 158 00:09:19,280 --> 00:09:21,240 Speaker 1: how she seems to be getting rich off this Black 159 00:09:21,240 --> 00:09:24,040 Speaker 1: Lives Matter movement. I've been warning you about that for years. 160 00:09:24,640 --> 00:09:28,040 Speaker 1: The Posts also added that her spouse also had property 161 00:09:28,040 --> 00:09:31,400 Speaker 1: in the Bahamas, had an ultra exclusive resort where justin 162 00:09:31,480 --> 00:09:34,240 Speaker 1: Timberlake can Tiger Woods both have homes called the Albany. 163 00:09:34,320 --> 00:09:37,560 Speaker 1: Last year with a price not disclosed. They're getting paid. 164 00:09:38,720 --> 00:09:41,040 Speaker 1: She declared in twenty fifteen that she and other Black 165 00:09:41,040 --> 00:09:43,920 Speaker 1: Lives Matter co founders were trained Marxists who were superverse 166 00:09:44,000 --> 00:09:47,439 Speaker 1: and on ideological theories. This is the same people that 167 00:09:47,480 --> 00:09:50,439 Speaker 1: are now telling you that getting a credit score. Having 168 00:09:50,480 --> 00:09:55,720 Speaker 1: a credit score is racist. These radical activists signed a 169 00:09:55,840 --> 00:09:59,120 Speaker 1: content production deal by the Warner Brothers. They're making money 170 00:09:59,160 --> 00:10:03,600 Speaker 1: off this. These new real estate purchases prompted some activist 171 00:10:03,679 --> 00:10:09,400 Speaker 1: calls for a financial investigation of the Black Lives Matter movement. Now, 172 00:10:09,440 --> 00:10:11,920 Speaker 1: this co founder is hardly the first to cash in. 173 00:10:12,640 --> 00:10:17,360 Speaker 1: Jamika Mallory, notorious verst support of the anti semitically fair count, 174 00:10:17,400 --> 00:10:24,520 Speaker 1: has scored product endorsements and made millions. Don't worry, Color 175 00:10:24,880 --> 00:10:27,120 Speaker 1: wouldn't be the first Marxist to succeed in real estate 176 00:10:27,160 --> 00:10:31,200 Speaker 1: market with multiple homes either. In twenty fourteen, they also 177 00:10:31,280 --> 00:10:36,880 Speaker 1: had some serious things they brought up in Santa Monica. Now, 178 00:10:36,880 --> 00:10:40,320 Speaker 1: my point about this is, if credit scores are racists, 179 00:10:41,000 --> 00:10:44,000 Speaker 1: you think this Marxist Black Lives Matter co founder is 180 00:10:44,040 --> 00:10:45,640 Speaker 1: buying all these homes up, would be able to do 181 00:10:45,679 --> 00:10:50,560 Speaker 1: so so easily. Probably not. They don't care about the 182 00:10:50,559 --> 00:10:52,520 Speaker 1: color of your skin. They care about your credit score. 183 00:10:53,600 --> 00:10:55,400 Speaker 1: Credit scores have nothing to do with the color your skin. 184 00:10:55,480 --> 00:10:57,920 Speaker 1: But now the Biden administration is trying to convince America 185 00:10:57,960 --> 00:11:01,120 Speaker 1: that credit scores are racist, and these credit scores are 186 00:11:01,120 --> 00:11:05,439 Speaker 1: so racist that we need to get away with it, 187 00:11:05,640 --> 00:11:07,400 Speaker 1: be done with them. And I'm telling you right now, 188 00:11:07,720 --> 00:11:09,760 Speaker 1: it is going to then make it even harder for 189 00:11:09,800 --> 00:11:12,280 Speaker 1: you to borrow money, because people are gonna be even 190 00:11:12,320 --> 00:11:14,560 Speaker 1: more paranoid. Like at least right now, there's some sort 191 00:11:14,600 --> 00:11:17,520 Speaker 1: of just basic algorithm. I walk in any bank, They're 192 00:11:17,520 --> 00:11:19,480 Speaker 1: gonna pull my credit scores, They're gonna look at my 193 00:11:19,480 --> 00:11:21,440 Speaker 1: credit history, and then they're gonna decide if they're gonna 194 00:11:21,480 --> 00:11:25,240 Speaker 1: lend me money or not. And my interest rate, I 195 00:11:25,280 --> 00:11:27,520 Speaker 1: get to shop around. If I don't like the interest 196 00:11:27,640 --> 00:11:30,360 Speaker 1: rate they give me, then I'm gonna shop it around. 197 00:11:30,400 --> 00:11:32,760 Speaker 1: I'll give you a perfect example of this has nothing 198 00:11:32,760 --> 00:11:36,559 Speaker 1: to do with racial profiling. I went into a car 199 00:11:36,600 --> 00:11:43,000 Speaker 1: dealership to buy a car, family car. SUV. Went in, 200 00:11:43,200 --> 00:11:45,480 Speaker 1: look at the car, said all right, I'm mentioned in 201 00:11:45,559 --> 00:11:48,520 Speaker 1: financing it. I've never financed a car. I take it back. 202 00:11:48,559 --> 00:11:51,120 Speaker 1: I financed my first car about I had an eighteen 203 00:11:51,200 --> 00:11:54,040 Speaker 1: hundred dollars loan on it. I kid you not eighteen 204 00:11:54,080 --> 00:11:55,760 Speaker 1: hundred dollars loan. I hated it, and I never want 205 00:11:55,760 --> 00:11:57,240 Speaker 1: a card and f that. But money had gotten so 206 00:11:57,320 --> 00:11:59,240 Speaker 1: cheap now, right, intest rates are so low. Now it's like, 207 00:11:59,240 --> 00:12:01,600 Speaker 1: all right, scrit let me just look at it. These 208 00:12:01,640 --> 00:12:03,319 Speaker 1: idiots were willing to give me a loan on a 209 00:12:03,440 --> 00:12:08,000 Speaker 1: used car for I think it was sixty months, and 210 00:12:08,080 --> 00:12:11,600 Speaker 1: I'm like, okay, what's the interest rate? Because now I'm 211 00:12:11,600 --> 00:12:14,040 Speaker 1: borrowing money on a used car at sixty months, I 212 00:12:14,080 --> 00:12:16,079 Speaker 1: want to know. Well, their first indust rate they came 213 00:12:16,120 --> 00:12:18,600 Speaker 1: back at, right, was five point two percent. I laughed 214 00:12:18,600 --> 00:12:21,600 Speaker 1: their face and said, no, I'll just pay cash. Well, 215 00:12:21,640 --> 00:12:23,240 Speaker 1: they said, well, hold on a second, let me let's 216 00:12:23,320 --> 00:12:25,000 Speaker 1: let's let's see, we'll see if we can get some 217 00:12:25,040 --> 00:12:26,840 Speaker 1: other numbers in here. All of a sudden, they come 218 00:12:26,840 --> 00:12:29,560 Speaker 1: back at two three. Well, now you've got my attention. 219 00:12:30,559 --> 00:12:33,600 Speaker 1: Now I could have accepted their first offer at five percent, right, 220 00:12:33,600 --> 00:12:37,240 Speaker 1: because they were putting points on the board, the financiers 221 00:12:37,280 --> 00:12:40,440 Speaker 1: of the dealership. We're getting an interest rate at probably 222 00:12:40,480 --> 00:12:43,040 Speaker 1: two percent, and they were jacking it up to five 223 00:12:43,080 --> 00:12:44,880 Speaker 1: percent to see if I was stupid enough to do it, 224 00:12:44,880 --> 00:12:46,320 Speaker 1: and they'd make their money back in the end, they 225 00:12:46,320 --> 00:12:49,760 Speaker 1: would give them their cash. That's welcome the free market society. 226 00:12:50,559 --> 00:12:54,079 Speaker 1: Suckers get busted and taken from every day in this country. 227 00:12:54,240 --> 00:12:57,679 Speaker 1: It's not a crime. Now. I knew I had good 228 00:12:57,679 --> 00:12:59,640 Speaker 1: credit before I walked in, because I'm not a moron. 229 00:13:00,800 --> 00:13:03,040 Speaker 1: I knew what a credit score should be or what 230 00:13:03,120 --> 00:13:05,800 Speaker 1: a credit interest rate should be because I talked to 231 00:13:05,960 --> 00:13:07,760 Speaker 1: the bank and they're like, look, you'll probably get even 232 00:13:07,800 --> 00:13:09,439 Speaker 1: better rates from the dealership to be honest with your 233 00:13:09,440 --> 00:13:11,840 Speaker 1: go through a credit union. And I was like, okay, 234 00:13:12,000 --> 00:13:14,360 Speaker 1: They're like, the deals are ridiculous. Right now, my bank 235 00:13:14,400 --> 00:13:16,760 Speaker 1: where I have my money, who literally told me there's 236 00:13:16,800 --> 00:13:18,800 Speaker 1: a very good chance that we can't even get close 237 00:13:18,840 --> 00:13:20,840 Speaker 1: to where some of these credit unions are. So they 238 00:13:20,840 --> 00:13:22,679 Speaker 1: were telling me and giving me advice on how they 239 00:13:22,679 --> 00:13:26,000 Speaker 1: would do it. Well, then I said, all right, I'm 240 00:13:26,040 --> 00:13:27,840 Speaker 1: looking at another dealership. They ended up going down to 241 00:13:27,880 --> 00:13:34,079 Speaker 1: like like two percent flat. Now did any of that 242 00:13:34,160 --> 00:13:36,679 Speaker 1: conversation going for five percent to two percent have anything 243 00:13:36,720 --> 00:13:39,960 Speaker 1: to do with my credit score? No, they knew I 244 00:13:40,040 --> 00:13:42,880 Speaker 1: was like low risk, no risk, right, I pay my bills. 245 00:13:43,480 --> 00:13:44,920 Speaker 1: But they were still going to try to make money 246 00:13:44,960 --> 00:13:47,160 Speaker 1: off of me. Did they try to jack my interest 247 00:13:47,280 --> 00:13:50,600 Speaker 1: rate up to five percent because I was white? No, 248 00:13:50,760 --> 00:13:52,319 Speaker 1: they were trying to see if I was dumb enough 249 00:13:52,360 --> 00:13:53,440 Speaker 1: to do it. And there's a lot of people that 250 00:13:53,480 --> 00:13:55,800 Speaker 1: are stupid enough to do it, and that's where they 251 00:13:55,840 --> 00:13:58,920 Speaker 1: make their money. But if you get rid of that 252 00:13:59,000 --> 00:14:01,439 Speaker 1: credit score, which got me a low rate eventually of 253 00:14:01,480 --> 00:14:04,920 Speaker 1: two percent, Right, I had to negotiate for it, and 254 00:14:05,040 --> 00:14:07,120 Speaker 1: I walk in and they don't have any data on me, 255 00:14:07,200 --> 00:14:09,640 Speaker 1: and then I got to fill out a bunch of paperwork. Manually, 256 00:14:10,960 --> 00:14:13,120 Speaker 1: they're gonna profile the hell out of you at that point, 257 00:14:13,160 --> 00:14:17,000 Speaker 1: and there's a very good chance you're gonna lose. Right, 258 00:14:17,040 --> 00:14:19,800 Speaker 1: there's a really good chance at that point. There's a 259 00:14:19,840 --> 00:14:21,360 Speaker 1: lot of people that are not going to get car 260 00:14:21,400 --> 00:14:23,960 Speaker 1: loans and they're not gonna get house loans because it 261 00:14:24,040 --> 00:14:32,480 Speaker 1: disappeared that's what's going to happen. It is not racist 262 00:14:32,520 --> 00:14:36,640 Speaker 1: to have a credit score. It's not racist at all. 263 00:14:38,040 --> 00:14:41,520 Speaker 1: And to say that it's racist is ignorant saying that 264 00:14:41,640 --> 00:14:45,640 Speaker 1: everything now is racial equity and racial equality. And they 265 00:14:45,760 --> 00:14:47,640 Speaker 1: go on to say that you know, well, we it's 266 00:14:47,720 --> 00:14:52,520 Speaker 1: unfair because this puts a burden on the racial communities, 267 00:14:53,840 --> 00:14:57,920 Speaker 1: when this credit score has literally nothing to do with 268 00:14:57,960 --> 00:15:00,760 Speaker 1: the color of your skin, has everything to do with 269 00:15:01,080 --> 00:15:07,040 Speaker 1: can you afford what you're wanting to buy. All these 270 00:15:07,080 --> 00:15:10,560 Speaker 1: three reporting agencies do is they analyze your borrowing and 271 00:15:10,680 --> 00:15:14,200 Speaker 1: your repayment patterns. They then assign a score to you 272 00:15:14,200 --> 00:15:19,000 Speaker 1: that's used to assess your risk or a PC way 273 00:15:19,000 --> 00:15:23,440 Speaker 1: of putting it as your credit worthiness. This will affect 274 00:15:23,600 --> 00:15:26,080 Speaker 1: people giving you money and at what interest rate, Because 275 00:15:26,080 --> 00:15:29,520 Speaker 1: if you have a history of late payments, I'm your 276 00:15:29,600 --> 00:15:32,840 Speaker 1: higher risk. If you have accounts that were shut down 277 00:15:32,880 --> 00:15:36,240 Speaker 1: that you didn't pay on that went to collections, you're 278 00:15:36,280 --> 00:15:38,840 Speaker 1: at higher risk. Why should I lend you a bunch 279 00:15:38,880 --> 00:15:41,960 Speaker 1: of money it compared to somebody that always pays on 280 00:15:42,040 --> 00:15:48,280 Speaker 1: time and has decades of payment history. We've all gotten 281 00:15:48,280 --> 00:15:51,960 Speaker 1: into just flat out stupid land in this country. And 282 00:15:52,040 --> 00:15:53,440 Speaker 1: if you're listening to me right now and you're in 283 00:15:53,480 --> 00:15:57,240 Speaker 1: a minority, you should be offended by this. And it's 284 00:15:57,400 --> 00:15:59,320 Speaker 1: and again, this is only going to help the rich 285 00:15:59,360 --> 00:16:02,760 Speaker 1: get richer and the poor have less opportunities to own things. 286 00:16:04,200 --> 00:16:08,080 Speaker 1: Let's also talk about the logic behind the White House's 287 00:16:08,080 --> 00:16:12,160 Speaker 1: decision to get rid of credit scores saying that it's profiling. 288 00:16:13,280 --> 00:16:16,800 Speaker 1: This White House has no problem profiling. I want to 289 00:16:16,840 --> 00:16:20,960 Speaker 1: make that very very clear. Look at the new obsession 290 00:16:21,040 --> 00:16:26,720 Speaker 1: that the left has with making you get a passport 291 00:16:28,840 --> 00:16:34,960 Speaker 1: so that you can travel. Look at these VACS requirements 292 00:16:34,960 --> 00:16:37,560 Speaker 1: that are all over the place. I'm talking about vaccines 293 00:16:38,040 --> 00:16:43,640 Speaker 1: all over the place. These VACS requirements are spreading in 294 00:16:43,680 --> 00:16:47,560 Speaker 1: this country. Bloomberg had a very interesting story about this. 295 00:16:47,800 --> 00:16:52,120 Speaker 1: Right COVID nineteen vaccination requirements are fast becoming facts of 296 00:16:52,200 --> 00:16:56,760 Speaker 1: life in the US, they wrote today, spreading business by business, 297 00:16:56,840 --> 00:17:01,480 Speaker 1: even as politicians and privacy advocates rail against. In other words, 298 00:17:01,480 --> 00:17:04,679 Speaker 1: it's inevitable, get on with it. Another White House has said, quote, 299 00:17:04,680 --> 00:17:08,240 Speaker 1: oh well, we're not. We're not gonna necessarily advocate for 300 00:17:09,520 --> 00:17:11,920 Speaker 1: these passports that require them. It didn't matter. Every other 301 00:17:11,960 --> 00:17:15,119 Speaker 1: Democrat out there in the country's doing that. Look at 302 00:17:15,160 --> 00:17:18,919 Speaker 1: the psycho colleges now, right, These these places that are 303 00:17:18,960 --> 00:17:27,680 Speaker 1: built now to just you know, to create Marxists and socialists, communists. 304 00:17:27,720 --> 00:17:31,119 Speaker 1: Brown University, now Notre Dame, and Rutgers are among universities 305 00:17:31,600 --> 00:17:34,480 Speaker 1: warning students and staff they'll need shots in order to 306 00:17:34,480 --> 00:17:37,960 Speaker 1: return to campus. As fall, some sports team are demanding 307 00:17:37,960 --> 00:17:41,800 Speaker 1: proof of vaccination or a negative test from fans, as 308 00:17:41,840 --> 00:17:45,000 Speaker 1: arenas are reopening. I want to see your favorite band 309 00:17:45,040 --> 00:17:49,040 Speaker 1: play indoors in California, not gonna happen unless you show 310 00:17:49,040 --> 00:17:52,200 Speaker 1: your vaccine proof that you've had it. At bigger venues, 311 00:17:52,240 --> 00:17:55,600 Speaker 1: the same rules are also going to apply. In fact, 312 00:17:55,600 --> 00:17:59,959 Speaker 1: a Houston hospital chain recently ordered its two thousand, excuse me, 313 00:18:00,560 --> 00:18:03,680 Speaker 1: twenty six thousand employees to get vaccinated or pretty much 314 00:18:03,800 --> 00:18:11,639 Speaker 1: you're out a job. Yeah, it's also another problem. How 315 00:18:11,640 --> 00:18:15,640 Speaker 1: do you prove that your shot you actually got it right, 316 00:18:16,560 --> 00:18:18,280 Speaker 1: or how do you prove that you're COVID free? And 317 00:18:18,359 --> 00:18:21,280 Speaker 1: you want to talk about financial burden. That can create 318 00:18:21,280 --> 00:18:25,199 Speaker 1: a financial burden for some people. It shouldn't, by the way, 319 00:18:25,280 --> 00:18:29,800 Speaker 1: Just be Republican politicians and privacy advocates that are warning 320 00:18:29,840 --> 00:18:32,640 Speaker 1: you about this. This is not freedom in this country. 321 00:18:33,000 --> 00:18:38,800 Speaker 1: If you can't act and do things in society right, 322 00:18:38,880 --> 00:18:41,439 Speaker 1: You can't get on a plane or a train or 323 00:18:41,480 --> 00:18:44,480 Speaker 1: a bus, or go to a sporting event or a concert, 324 00:18:44,560 --> 00:18:48,760 Speaker 1: or go to school unless you show your vaccine passport. 325 00:18:51,840 --> 00:18:56,679 Speaker 1: That's insane. That's not freedom. But I use this as 326 00:18:56,720 --> 00:19:00,480 Speaker 1: a compare and contrast the same liberals that are telling 327 00:19:00,480 --> 00:19:03,119 Speaker 1: you that it's wrong that people get their credit history 328 00:19:03,119 --> 00:19:05,480 Speaker 1: on you and that we should ban it are the 329 00:19:05,520 --> 00:19:08,280 Speaker 1: same people that are demanding that you have a vaccine passport. 330 00:19:09,320 --> 00:19:14,240 Speaker 1: There is no consistency, and what they are saying there 331 00:19:14,320 --> 00:19:19,160 Speaker 1: is zero consistency when it comes to their logic. How 332 00:19:19,240 --> 00:19:23,159 Speaker 1: is it logical that you demand that people go and 333 00:19:23,160 --> 00:19:27,439 Speaker 1: show a passport to do anything to function society, But 334 00:19:27,480 --> 00:19:32,280 Speaker 1: at the same time you ban companies, private companies that 335 00:19:32,320 --> 00:19:35,080 Speaker 1: are doing private business with you, from actually having history 336 00:19:35,200 --> 00:19:39,200 Speaker 1: on you and your finance, your finances and how you 337 00:19:39,240 --> 00:19:45,679 Speaker 1: pay and repay things. That is not sound logic. In 338 00:19:45,680 --> 00:19:47,560 Speaker 1: other words, I'm supposed to give up all of my 339 00:19:47,640 --> 00:19:51,639 Speaker 1: information to you, the deals in my health, or you 340 00:19:51,720 --> 00:19:54,359 Speaker 1: won't let me function society, which is not freedom. But 341 00:19:54,480 --> 00:19:57,720 Speaker 1: then you demand that you have no information be kept 342 00:19:57,760 --> 00:20:00,920 Speaker 1: on you as a person going into a private agreement 343 00:20:00,960 --> 00:20:04,800 Speaker 1: with somebody to borrow what could be millions of dollars, 344 00:20:04,840 --> 00:20:07,439 Speaker 1: easily hundreds of thousands of dollars. They say, no, no, 345 00:20:07,480 --> 00:20:12,919 Speaker 1: that's racist. Well, which one is it? White House, Because 346 00:20:12,960 --> 00:20:15,239 Speaker 1: it seems like you guys make it up as you go. 347 00:20:15,320 --> 00:20:17,719 Speaker 1: It seems like, oh no, you've got to have this 348 00:20:17,800 --> 00:20:19,680 Speaker 1: passport or you won't. We won't let you do anything 349 00:20:19,680 --> 00:20:23,080 Speaker 1: in America. And that's totally legitimate. And you're giving up 350 00:20:23,119 --> 00:20:25,720 Speaker 1: all your data. You're giving up all your medical data. 351 00:20:25,720 --> 00:20:31,520 Speaker 1: You're basically saying, strip search me, and then tuesdayonds today 352 00:20:31,600 --> 00:20:34,160 Speaker 1: you're going you can't have any data on any Americans. 353 00:20:34,200 --> 00:20:36,600 Speaker 1: It's asking for millions of dollars or hundreds of thousands, 354 00:20:36,680 --> 00:20:38,719 Speaker 1: or a thirty year loan or a five year loan 355 00:20:38,800 --> 00:20:40,320 Speaker 1: or a fifteen year loan, or a business loan. No, 356 00:20:40,480 --> 00:20:42,840 Speaker 1: you can't ask them for any information in a private 357 00:20:42,880 --> 00:20:46,520 Speaker 1: business transaction. That's the other part about this that bothers me. 358 00:20:48,359 --> 00:20:55,240 Speaker 1: No one forces me, right, No one forces me to 359 00:20:55,280 --> 00:20:58,119 Speaker 1: borrow money. If I go to a bank, to a 360 00:20:58,200 --> 00:21:01,159 Speaker 1: private entity and I borrow money for them, I can 361 00:21:01,240 --> 00:21:05,240 Speaker 1: either decide to to say yes or no or walk 362 00:21:05,280 --> 00:21:09,280 Speaker 1: away from that financial transaction. It's not mandated by the government. 363 00:21:09,320 --> 00:21:13,120 Speaker 1: It's a private business lending money to a private citizen. 364 00:21:13,720 --> 00:21:16,959 Speaker 1: Why should the government have anything really to do with that. 365 00:21:17,000 --> 00:21:19,159 Speaker 1: When it comes to what I can and cannot be asked, 366 00:21:19,400 --> 00:21:21,119 Speaker 1: and if I don't want to answer those questions or 367 00:21:21,119 --> 00:21:23,399 Speaker 1: I don't want to give up that information to a credit, 368 00:21:23,760 --> 00:21:26,399 Speaker 1: you know, to a bank to get that loan, or 369 00:21:26,440 --> 00:21:33,640 Speaker 1: I refuse to comply. That's that's my decision. That's my choice. 370 00:21:35,920 --> 00:21:38,080 Speaker 1: It's kind of like driving. It's a privilege, not a right. 371 00:21:38,680 --> 00:21:41,399 Speaker 1: You don't You don't have to get a license. You 372 00:21:41,440 --> 00:21:43,439 Speaker 1: don't have to drive if you don't want to. You 373 00:21:43,440 --> 00:21:47,160 Speaker 1: can walk, you can do other things. No one's forcing you. 374 00:21:47,880 --> 00:21:50,480 Speaker 1: If you don't like having a credit score, then don't 375 00:21:50,480 --> 00:21:54,359 Speaker 1: ever get anything on credit. Don't get a credit card. 376 00:21:55,640 --> 00:21:59,320 Speaker 1: Pay six months down on a rental property. If you 377 00:21:59,359 --> 00:22:03,040 Speaker 1: want to do that, that's your decision. Pay first and 378 00:22:03,119 --> 00:22:05,959 Speaker 1: last month's times three. There's ways to get around it. 379 00:22:06,359 --> 00:22:07,960 Speaker 1: I do know people, by the way, on the day 380 00:22:07,960 --> 00:22:11,360 Speaker 1: of Ramsey World who don't have a credit score at all. 381 00:22:13,400 --> 00:22:15,960 Speaker 1: That's their decision, and they do just fine in life 382 00:22:15,960 --> 00:22:19,920 Speaker 1: without a credit score. You got to decide what's best 383 00:22:19,920 --> 00:22:21,440 Speaker 1: for you. But the government shouldn't be able to tell 384 00:22:21,440 --> 00:22:23,960 Speaker 1: you one moment that you must give up all your 385 00:22:24,000 --> 00:22:31,960 Speaker 1: records healthwise and you must submit to them healthwise, and 386 00:22:32,040 --> 00:22:34,680 Speaker 1: then the very next minute they say, oh, you can't 387 00:22:34,720 --> 00:22:36,679 Speaker 1: have any of your information out there for the private 388 00:22:36,680 --> 00:22:38,600 Speaker 1: sector to decide if you're risky. When it comes to 389 00:22:38,640 --> 00:22:44,280 Speaker 1: your loan. That is not sound logic. And credit scores 390 00:22:44,320 --> 00:22:47,760 Speaker 1: have nothing to do with race. They have everything to 391 00:22:47,840 --> 00:22:49,679 Speaker 1: do with when you borrow money, do you pay it 392 00:22:49,720 --> 00:22:53,480 Speaker 1: back or not? It is that sense, that's simple. And 393 00:22:53,560 --> 00:22:57,359 Speaker 1: if you change this and you make it disappear these 394 00:22:57,359 --> 00:22:59,720 Speaker 1: credit burewers. I'm not saying you can't like reform them. 395 00:23:00,080 --> 00:23:01,800 Speaker 1: I think some of the ways they do their their 396 00:23:01,920 --> 00:23:06,760 Speaker 1: their numbers are are ridiculous. But again, I don't know. 397 00:23:07,920 --> 00:23:12,320 Speaker 1: No one's mandated to offer me credit or to offer 398 00:23:12,400 --> 00:23:15,720 Speaker 1: me money, right, Let's let's be very clear about that. 399 00:23:17,640 --> 00:23:19,840 Speaker 1: And this is when I don't like the government getting 400 00:23:19,880 --> 00:23:22,320 Speaker 1: involved in the private sector, because they screw it up 401 00:23:22,359 --> 00:23:26,240 Speaker 1: every time. Anytime you get the priv the government involved 402 00:23:26,240 --> 00:23:27,920 Speaker 1: in the private sector, they will figure out a way 403 00:23:27,920 --> 00:23:33,560 Speaker 1: to just totally screw it up. That's what they do. 404 00:23:34,560 --> 00:23:42,359 Speaker 1: They screw it up. Their professionals at it. So before 405 00:23:42,400 --> 00:23:47,000 Speaker 1: you jump on this bandwagon of oh, we must have 406 00:23:47,200 --> 00:23:52,160 Speaker 1: no more credit scores in this country. Oh yes, it's 407 00:23:52,240 --> 00:23:54,480 Speaker 1: racist to have a credit score, remember that this is 408 00:23:54,520 --> 00:23:57,399 Speaker 1: the same administration that's mandating that you give up all 409 00:23:57,440 --> 00:24:01,040 Speaker 1: privacy when it comes to your medical history, and that 410 00:24:01,119 --> 00:24:03,640 Speaker 1: you won't that you're not allowed to function society without 411 00:24:03,680 --> 00:24:09,879 Speaker 1: getting their passport. Think about that all right. As I've 412 00:24:09,920 --> 00:24:13,080 Speaker 1: said before, please make sure you share this podcast with 413 00:24:13,160 --> 00:24:17,480 Speaker 1: your family and friends. We've been attacked yeah, on Facebook. 414 00:24:17,800 --> 00:24:21,800 Speaker 1: We can't even publish anything anymore, so please help us 415 00:24:21,840 --> 00:24:24,760 Speaker 1: spread the word about this podcast, Share it with others, 416 00:24:25,280 --> 00:24:27,639 Speaker 1: take screenshots of the show, and please let us know 417 00:24:27,680 --> 00:24:29,760 Speaker 1: about this podcast. See you back here tomorrow. Thank you 418 00:24:29,800 --> 00:24:32,120 Speaker 1: for your support and helping us grow.