1 00:00:05,200 --> 00:00:10,800 Speaker 1: Live from vall Hartbeiner and the Crossroads of America. It's 2 00:00:10,840 --> 00:00:19,640 Speaker 1: Tony Katz today. Guess it is, and welcome to it. 3 00:00:20,400 --> 00:00:25,720 Speaker 1: Tony Katz today. Tony Katz is not here today. I am. 4 00:00:25,880 --> 00:00:29,040 Speaker 1: My name is Mike Coolidge k O O l I 5 00:00:29,280 --> 00:00:33,320 Speaker 1: d g E. Find me on X. Find Tony on 6 00:00:33,560 --> 00:00:37,320 Speaker 1: X two. He's got a real easy handle, Tony Kats. 7 00:00:38,040 --> 00:00:41,159 Speaker 1: Mine's just my last name. Coolidge k O O l 8 00:00:41,240 --> 00:00:44,199 Speaker 1: I d g E. Will be joined later on this 9 00:00:44,440 --> 00:00:48,839 Speaker 1: hour by doctor Wilfred Riley. His X handle is a 10 00:00:48,840 --> 00:00:54,000 Speaker 1: little bit harder to remember. UH will the Beast six thirty? 11 00:00:54,680 --> 00:01:01,880 Speaker 1: Uh will underscore da underscore Beast like wildeby six point thirty. 12 00:01:01,920 --> 00:01:05,119 Speaker 1: I believe is this old area code could be wrong. 13 00:01:05,200 --> 00:01:08,720 Speaker 1: We'll ask him. Guy's my liberal teacher told me. He's 14 00:01:08,760 --> 00:01:14,000 Speaker 1: also the founder of UH Unified Solutions America. He also 15 00:01:14,400 --> 00:01:18,200 Speaker 1: is a professor at an historically black college in Kentucky 16 00:01:18,240 --> 00:01:23,360 Speaker 1: called Kentucky State University's political science professor. He's he's awesome. 17 00:01:23,400 --> 00:01:26,120 Speaker 1: I think he's one of the He's I think he's 18 00:01:26,200 --> 00:01:29,480 Speaker 1: right in between. He's a he's an old millennial. He's 19 00:01:29,520 --> 00:01:31,720 Speaker 1: not quite old enough to be jen X like me. 20 00:01:32,240 --> 00:01:35,280 Speaker 1: But he is a old err on the older side 21 00:01:35,319 --> 00:01:38,600 Speaker 1: of millennial. But he I think is a thought leader 22 00:01:39,160 --> 00:01:42,600 Speaker 1: on the right and I always love talking to him. 23 00:01:42,720 --> 00:01:46,640 Speaker 1: Got one of the most distinct voices you'll hear on 24 00:01:46,880 --> 00:01:49,640 Speaker 1: the radio. Uh, and he will be joining us. I 25 00:01:49,720 --> 00:01:51,440 Speaker 1: was on his he was felling in. He was doing 26 00:01:51,440 --> 00:01:54,919 Speaker 1: what I was doing. Just didn't down in Kentucky earlier 27 00:01:55,000 --> 00:01:56,800 Speaker 1: this week I was a guest on his show. He said, 28 00:01:57,000 --> 00:01:59,560 Speaker 1: let's let's switch it up. Always love love chatting him. 29 00:01:59,560 --> 00:02:02,000 Speaker 1: He'll be joined us here shortly. I should also update 30 00:02:02,080 --> 00:02:04,560 Speaker 1: you listening to this right now. I know you listen 31 00:02:04,640 --> 00:02:08,200 Speaker 1: to Tony Cass Today for the latest and greatest on 32 00:02:08,480 --> 00:02:12,639 Speaker 1: all things political, but you probably have other things going 33 00:02:12,680 --> 00:02:15,000 Speaker 1: on in your life, like, oh, I don't know the 34 00:02:15,080 --> 00:02:21,799 Speaker 1: college football playoffs. Well, there is a college football game tonight, 35 00:02:22,560 --> 00:02:27,320 Speaker 1: the Miami Hurricanes at the Ohio State Buckeyes. That is 36 00:02:27,440 --> 00:02:34,120 Speaker 1: at seven thirty Eastern Time, six thirty Central. That's God's country, 37 00:02:34,600 --> 00:02:37,720 Speaker 1: God's time zone, That's where I live in Illinois. But 38 00:02:37,880 --> 00:02:44,080 Speaker 1: it is seven thirty PM tonight Miami against the Ohio State, 39 00:02:44,120 --> 00:02:48,480 Speaker 1: although I call it Ohio State. And tomorrow Oregon at 40 00:02:48,560 --> 00:02:57,359 Speaker 1: Texas Tech at noon Alabama at your Indiana Hoosiers at 41 00:02:57,400 --> 00:03:02,799 Speaker 1: four pm, and then the evening game triple header ole 42 00:03:02,919 --> 00:03:08,240 Speaker 1: Miss at Georgia that's at seven I'm sorry eight pm. 43 00:03:08,280 --> 00:03:12,760 Speaker 1: Actually I say at but they're all neutral places. The 44 00:03:13,360 --> 00:03:18,120 Speaker 1: I don't know where Miami's playing Ohio, honestly, but the 45 00:03:18,400 --> 00:03:20,920 Speaker 1: Orange Bowl is in Miami. That's where Oregon's playing Texas 46 00:03:21,040 --> 00:03:23,920 Speaker 1: Tech rose Ball, of course is California. That is where 47 00:03:24,280 --> 00:03:28,240 Speaker 1: your Hoosiers are playing the Crimson Tide. And ole Miss 48 00:03:28,240 --> 00:03:31,040 Speaker 1: at Georgia is in New Orleans at the Sugar Bowl. 49 00:03:31,400 --> 00:03:33,880 Speaker 2: Can't I can't tell you the Miami and Ohio state 50 00:03:34,000 --> 00:03:36,160 Speaker 2: is Cotton Bowl. That is Jerry World down in. 51 00:03:36,320 --> 00:03:40,640 Speaker 1: Dallas, Dallas, Texas. There you go, Cotton Bowl. That is where. 52 00:03:40,680 --> 00:03:43,440 Speaker 1: So a lot of different time zones being covered in 53 00:03:43,480 --> 00:03:45,960 Speaker 1: these college football playoffs. Land, And do you have a 54 00:03:46,000 --> 00:03:48,840 Speaker 1: favorite other than an assuming you're rooting for Indiana, do 55 00:03:48,880 --> 00:03:51,400 Speaker 1: you have a team of the eight I mentioned that 56 00:03:51,440 --> 00:03:52,360 Speaker 1: you're rooting. 57 00:03:52,160 --> 00:03:56,120 Speaker 2: For other than I you, I'd say maybe Oregon. Oregon 58 00:03:56,200 --> 00:03:58,520 Speaker 2: is just such a it's a fun fan base, and 59 00:03:58,560 --> 00:04:00,200 Speaker 2: plus the Duck is insane, and. 60 00:04:00,160 --> 00:04:02,240 Speaker 1: So I'll go I. 61 00:04:02,160 --> 00:04:02,960 Speaker 2: Will go Oregon. 62 00:04:03,280 --> 00:04:06,880 Speaker 1: Okay, Oregon, all right, all I care about is Georgia 63 00:04:06,880 --> 00:04:10,280 Speaker 1: advancing and in Indiana my second favorite team of the 64 00:04:10,320 --> 00:04:14,280 Speaker 1: eight I mentioned, So we shall see what happens there, 65 00:04:14,280 --> 00:04:17,000 Speaker 1: all right. So the first hour we we dove a 66 00:04:17,040 --> 00:04:24,680 Speaker 1: little deep into the the Somali fraud story and what 67 00:04:24,760 --> 00:04:30,640 Speaker 1: it means, what we can do where we go from here. 68 00:04:32,000 --> 00:04:35,840 Speaker 1: There is a lot more to this, and this is 69 00:04:35,960 --> 00:04:39,400 Speaker 1: kind of the tip of the iceberg. There was a 70 00:04:39,600 --> 00:04:44,680 Speaker 1: it was a great point brought up by Alex Berenson 71 00:04:45,640 --> 00:04:50,600 Speaker 1: and Dan Proft, a great radio host in UH Chicago, 72 00:04:50,720 --> 00:04:53,760 Speaker 1: brought up this point on X. He says, I I've 73 00:04:53,800 --> 00:04:57,480 Speaker 1: discussed this point going back almost two decades to Rob 74 00:04:57,560 --> 00:05:02,320 Speaker 1: blugoy Evicc's impeachment and convictions. I've got this thing and 75 00:05:02,360 --> 00:05:05,240 Speaker 1: it's blank and golden, he said. When he appointed a 76 00:05:05,240 --> 00:05:08,800 Speaker 1: guy to the Senate, Rowan burs I believe it was 77 00:05:08,839 --> 00:05:12,440 Speaker 1: his name, a senator here in Illinois for about five minutes. 78 00:05:12,720 --> 00:05:17,840 Speaker 1: That was the sixtieth vote in the Obamacare Obama or 79 00:05:17,920 --> 00:05:22,000 Speaker 1: I'm sorry, Bogoievich was got that because Obama won the 80 00:05:22,040 --> 00:05:26,200 Speaker 1: presidency and there was a vacancy in Illinois. That appointment 81 00:05:26,279 --> 00:05:31,560 Speaker 1: got all the attention. But Bolgoievitch's illegal expansion of Medicaid 82 00:05:31,960 --> 00:05:35,960 Speaker 1: was the much more serious transgression. Fast forward to JB. 83 00:05:36,080 --> 00:05:40,599 Speaker 1: Pritzker's sanctuary state era and Blogoievitch looks like a piker 84 00:05:40,760 --> 00:05:46,320 Speaker 1: by a comparison. Alex Bearerson makes this point that it's 85 00:05:46,360 --> 00:05:51,800 Speaker 1: not just the Daycares in Minnesota. The deepest government honeypot 86 00:05:52,040 --> 00:05:58,240 Speaker 1: is Blue State Medicaid. That's right, Medicaid. The medicaid expansion 87 00:05:58,640 --> 00:06:03,560 Speaker 1: in my state was expanded to the tune of two 88 00:06:03,640 --> 00:06:09,800 Speaker 1: point two billion dollars. And our experience and brings up 89 00:06:09,839 --> 00:06:16,160 Speaker 1: that New York state the expansion there one hundred and 90 00:06:16,240 --> 00:06:24,920 Speaker 1: twenty billion dollars. Yeah, so there's been and Republicans are 91 00:06:24,960 --> 00:06:27,839 Speaker 1: trying to, of course crack down on this, the Republican 92 00:06:27,880 --> 00:06:31,120 Speaker 1: President Donald Trump. But we have Republicans running for governor 93 00:06:31,279 --> 00:06:33,400 Speaker 1: in the state of New York and the state of 94 00:06:33,440 --> 00:06:37,520 Speaker 1: Illinois where I live. Who if a Republican governor somehow 95 00:06:37,640 --> 00:06:40,880 Speaker 1: beats JB. Pritzker, And yes, there is Pritzker fatigue here 96 00:06:40,880 --> 00:06:45,520 Speaker 1: in Illinois. They're going to try to scale this insane 97 00:06:45,720 --> 00:06:47,840 Speaker 1: expansion back. But what are they going to be hit 98 00:06:47,839 --> 00:06:51,640 Speaker 1: with right away? Oh, you're taking healthcare away from board people. 99 00:06:51,880 --> 00:06:56,200 Speaker 1: They're not. This was a fraud, not Medicaid itself when 100 00:06:56,320 --> 00:07:01,480 Speaker 1: saying the expansion has been insane, ainly stupid and dumb, 101 00:07:01,760 --> 00:07:05,080 Speaker 1: and that itself is a fraud and if we don't 102 00:07:05,120 --> 00:07:09,080 Speaker 1: pay attention, it won't go away. We are going to 103 00:07:09,120 --> 00:07:13,120 Speaker 1: go away shortly, not anywhere. We don't want you to 104 00:07:13,120 --> 00:07:15,000 Speaker 1: go anywhere. We will be going away just for a 105 00:07:15,040 --> 00:07:17,240 Speaker 1: couple of minutes here, but you don't go anywhere. On 106 00:07:17,280 --> 00:07:19,640 Speaker 1: the other side of the break, Doctor Wilfred Riley, Kentucky 107 00:07:19,640 --> 00:07:22,520 Speaker 1: State University, will join us. This is Tony Katz today. 108 00:07:22,560 --> 00:07:25,040 Speaker 1: I am Mike coogliche in for Tony. Stay with us. 109 00:07:25,320 --> 00:07:31,640 Speaker 1: We are back on Tony Katz today. I teased it 110 00:07:31,800 --> 00:07:35,200 Speaker 1: that these songs that are being played in the radio 111 00:07:35,240 --> 00:07:38,360 Speaker 1: lingual we call it bumper music, all have a theme, 112 00:07:39,200 --> 00:07:43,840 Speaker 1: and land In, our producer behind the glass, put them 113 00:07:43,880 --> 00:07:46,480 Speaker 1: together and they do have a theme. And this last 114 00:07:46,560 --> 00:07:50,920 Speaker 1: song that's being played right now, you sure withn't the thing? 115 00:07:50,960 --> 00:07:52,840 Speaker 1: Don't give it away what it is. But the song 116 00:07:52,880 --> 00:07:57,040 Speaker 1: itself is from the sixties. But is it still connected 117 00:07:57,080 --> 00:08:00,320 Speaker 1: to the connection that you told me off the air earlier? Landon, Yes, 118 00:08:00,400 --> 00:08:03,640 Speaker 1: that is correct, Okay, all right, so it is apparently 119 00:08:04,160 --> 00:08:07,400 Speaker 1: so that's another kind of kind of tease or a 120 00:08:07,480 --> 00:08:10,520 Speaker 1: hint for you that these songs are connected in some way. 121 00:08:10,640 --> 00:08:12,440 Speaker 1: Why don't we tell our listeners to what the phone 122 00:08:12,520 --> 00:08:16,520 Speaker 1: number is if they want to call in and say 123 00:08:16,600 --> 00:08:20,040 Speaker 1: what they are so far? We've given the songs out, 124 00:08:20,200 --> 00:08:23,960 Speaker 1: we've said what they are so far, and they do 125 00:08:24,080 --> 00:08:26,840 Speaker 1: have a theme. And the songs so far have been 126 00:08:26,920 --> 00:08:29,840 Speaker 1: Moving in Stereo by the Cars, Rocky Like a Hurricane 127 00:08:29,840 --> 00:08:34,000 Speaker 1: by the Scorpions, Sunglasses a Night by Corey Hart, California 128 00:08:34,360 --> 00:08:39,719 Speaker 1: Dreaming by the Beach Boys. But they aren't the originators 129 00:08:39,920 --> 00:08:44,600 Speaker 1: of that song. What is the connection? That is the question. 130 00:08:45,559 --> 00:08:47,960 Speaker 1: We're going to make it rhetorical for now because joining 131 00:08:48,040 --> 00:08:51,600 Speaker 1: us on the phone is the one and only doctor 132 00:08:51,800 --> 00:08:57,120 Speaker 1: Wilfred Riley, Kentucky State University and author of many many books, 133 00:08:57,160 --> 00:09:00,960 Speaker 1: including one coming out next year. You know, guys, my 134 00:09:01,000 --> 00:09:03,520 Speaker 1: teacher told me he is his most famous one, Doctor Wierley. 135 00:09:03,559 --> 00:09:05,280 Speaker 1: Welcome back on to the radio. 136 00:09:07,160 --> 00:09:08,839 Speaker 3: Yeah, great, great to be back on. 137 00:09:09,320 --> 00:09:12,760 Speaker 1: Yeah, we were just chatting what two days ago yesterday? 138 00:09:12,840 --> 00:09:15,040 Speaker 1: This week's flown by, and it's a very confusing week 139 00:09:16,160 --> 00:09:18,080 Speaker 1: end of the year being in the middle of it. 140 00:09:18,480 --> 00:09:21,960 Speaker 1: But you hosted a radio show in Kentucky that I 141 00:09:22,400 --> 00:09:24,400 Speaker 1: joined you on, and here you are joining us in 142 00:09:24,400 --> 00:09:28,720 Speaker 1: Indiana and elsewhere. How how have you been do you 143 00:09:28,880 --> 00:09:32,559 Speaker 1: have putting you on the spot here? Any crazy fun 144 00:09:32,960 --> 00:09:35,720 Speaker 1: plans for New Year's Eve tonight? Or are you just 145 00:09:36,120 --> 00:09:40,760 Speaker 1: chilling like a villain and ringing it in while you're 146 00:09:40,760 --> 00:09:44,000 Speaker 1: sleeping or watching Ryan Seacrest. What are you doing tonight? 147 00:09:44,040 --> 00:09:44,600 Speaker 1: Will Riley? 148 00:09:46,160 --> 00:09:47,800 Speaker 3: I've always thought it. I used to be a I 149 00:09:47,880 --> 00:09:51,280 Speaker 3: used to manage a pretty good sized nightclub in Chicago. Entourage. 150 00:09:51,280 --> 00:09:52,880 Speaker 3: I've alway thought of New Year's Eve was kind of 151 00:09:52,880 --> 00:09:55,040 Speaker 3: amateur hour, and you have a lot of drunk twenty 152 00:09:55,040 --> 00:09:57,680 Speaker 3: two year old people driving around on the roads and 153 00:09:57,720 --> 00:09:59,240 Speaker 3: so on. So if I want to celebrate it all, 154 00:09:59,240 --> 00:10:00,959 Speaker 3: I'll usually get a bot or champagne or something to 155 00:10:01,040 --> 00:10:03,719 Speaker 3: relax with my girlfriend. As it is at forty, I 156 00:10:03,720 --> 00:10:06,880 Speaker 3: don't really think I'm gonna do much of anything. I mean, obviously, 157 00:10:06,920 --> 00:10:09,080 Speaker 3: you and I among some other people are starting a business. 158 00:10:09,760 --> 00:10:11,480 Speaker 3: I'm trying to get in shape, so I'm probably gonna 159 00:10:11,480 --> 00:10:13,320 Speaker 3: I'm gonna go to the gym, I'm gonna relax. 160 00:10:13,640 --> 00:10:14,000 Speaker 1: Cook. 161 00:10:14,800 --> 00:10:17,400 Speaker 3: Yeah, that's about it. I don't have any big plans 162 00:10:17,400 --> 00:10:18,080 Speaker 3: on the horizon. 163 00:10:18,840 --> 00:10:22,640 Speaker 1: Yes, that is spoken like a true forty year old. 164 00:10:24,320 --> 00:10:28,120 Speaker 1: I watched some some meme or something this week. It 165 00:10:28,160 --> 00:10:30,359 Speaker 1: was something like or maybe it was a Nate Bergatzi 166 00:10:30,440 --> 00:10:33,800 Speaker 1: bit where he said, you know, when you're twenty, you 167 00:10:34,400 --> 00:10:36,480 Speaker 1: say yes to everything. Yeah, you we're gonna apart. I 168 00:10:36,480 --> 00:10:38,680 Speaker 1: don't even care where we're going. I'm going out thirty 169 00:10:38,679 --> 00:10:40,760 Speaker 1: it's wait, where are we going? I'm going to decide? 170 00:10:40,920 --> 00:10:44,319 Speaker 1: At forty is no, I'm not going, And at fifty 171 00:10:44,480 --> 00:10:47,280 Speaker 1: it's I'm not going, and I'm mad that you even 172 00:10:47,320 --> 00:10:51,720 Speaker 1: thought I would go. He delivered it much better. But yes, 173 00:10:51,960 --> 00:10:57,560 Speaker 1: tonight is one college football game, Miami against Ohio State, 174 00:10:57,760 --> 00:11:00,440 Speaker 1: and then the three other college football games are tomorrow. 175 00:11:00,840 --> 00:11:05,600 Speaker 1: Of course, everyone is still talking about this Somali fraud story. 176 00:11:05,640 --> 00:11:08,240 Speaker 1: We talked about it for the entirety of the first hour, 177 00:11:08,480 --> 00:11:11,680 Speaker 1: a little bit too in the second hour. This isn't 178 00:11:11,800 --> 00:11:15,520 Speaker 1: just about fraud. Of course, there's medicaid fraud happening. There's 179 00:11:15,679 --> 00:11:19,720 Speaker 1: been waste fraud and abuse by our state governments and yes, 180 00:11:19,760 --> 00:11:23,880 Speaker 1: our federal government for decades. Is a story like this 181 00:11:24,080 --> 00:11:28,560 Speaker 1: going to lead to anything? Will what is the next 182 00:11:28,600 --> 00:11:32,520 Speaker 1: step of this? Or like so many other things in 183 00:11:32,600 --> 00:11:34,880 Speaker 1: news cycles. Are we going to be forgetting about this 184 00:11:35,040 --> 00:11:36,320 Speaker 1: a week or a month from. 185 00:11:36,160 --> 00:11:39,520 Speaker 3: Now, Well, I think I think a lot of people 186 00:11:39,920 --> 00:11:42,880 Speaker 3: in the mainstream would love that this be forgotten about, 187 00:11:42,920 --> 00:11:48,360 Speaker 3: including you, reporters for the Minneapolis Star Tribune, local state representatives, 188 00:11:48,800 --> 00:11:52,600 Speaker 3: the executives for feeding our future, to remain unindicted so on. 189 00:11:53,720 --> 00:11:56,160 Speaker 3: I think because this went so viral on Twitter, and 190 00:11:56,200 --> 00:11:58,160 Speaker 3: because a lot of it's so funny, a lot of 191 00:11:58,200 --> 00:12:00,600 Speaker 3: people on kind of the center right who are actually 192 00:12:00,640 --> 00:12:03,280 Speaker 3: local lawyers and that kind of thing, aren't necessarily going 193 00:12:03,280 --> 00:12:05,440 Speaker 3: to allow it to be forgotten. Like the memes are 194 00:12:05,480 --> 00:12:08,720 Speaker 3: already out there. You know, there's a Nick Searcy going 195 00:12:08,760 --> 00:12:14,400 Speaker 3: to the Quality Leering Center where the Theali community had 196 00:12:14,960 --> 00:12:17,160 Speaker 3: Nick Shirley Sorry, and they get shout out to Nick Shirley. 197 00:12:17,200 --> 00:12:20,800 Speaker 3: But where they had the this is a school basically 198 00:12:20,840 --> 00:12:23,680 Speaker 3: they were supposed to have up through kindergarten there where 199 00:12:23,679 --> 00:12:27,439 Speaker 3: they couldn't spell learning correctly, and they had the mall 200 00:12:27,559 --> 00:12:30,920 Speaker 3: printed plastic banner hanging sideways in the front of the building. 201 00:12:30,960 --> 00:12:34,079 Speaker 3: There's like one sketchy Somali guy sitting at the front desk. 202 00:12:34,160 --> 00:12:35,840 Speaker 3: I mean, I think a lot of people are going 203 00:12:35,880 --> 00:12:38,160 Speaker 3: to remember that when they think about their taxes being 204 00:12:38,280 --> 00:12:40,040 Speaker 3: used for you know, schools in the hood and so 205 00:12:40,080 --> 00:12:42,319 Speaker 3: on in the future. The question with these kind of 206 00:12:42,440 --> 00:12:45,800 Speaker 3: political scandals, We've seen this Black communities in Mississippi, Irish 207 00:12:45,800 --> 00:12:49,360 Speaker 3: communities in Chicago, So a deeper level here. By the way, 208 00:12:49,400 --> 00:12:51,840 Speaker 3: I think Somali's are probably going to have much higher 209 00:12:51,960 --> 00:12:54,440 Speaker 3: rates of this than even those two groups. But like 210 00:12:54,520 --> 00:12:57,479 Speaker 3: if you were to go into any major city Portland 211 00:12:57,559 --> 00:12:59,840 Speaker 3: with poor Caucasians or something, and you were to look 212 00:12:59,880 --> 00:13:03,679 Speaker 3: at fraud levels, what percentage of the food pantries are 213 00:13:03,679 --> 00:13:06,120 Speaker 3: technically committing fraud, I think there's a deeper level where 214 00:13:06,160 --> 00:13:10,480 Speaker 3: those are very very high. During COVID, have you ever 215 00:13:10,520 --> 00:13:11,880 Speaker 3: heard the song PPP loan? 216 00:13:12,760 --> 00:13:14,640 Speaker 1: Yeah? Yeah, I mean I didn't take one out one, 217 00:13:14,640 --> 00:13:16,080 Speaker 1: but I know I know the song and I know 218 00:13:16,120 --> 00:13:17,400 Speaker 1: of course PPP loans. 219 00:13:19,080 --> 00:13:21,520 Speaker 3: Yeah. No. During a we played this on the radio 220 00:13:21,679 --> 00:13:24,120 Speaker 3: on a WBO CA down here in Kentucky on the 221 00:13:24,280 --> 00:13:27,440 Speaker 3: show that you You came on and audience loved you, 222 00:13:27,480 --> 00:13:29,480 Speaker 3: by the way, But like in one of the episodes 223 00:13:29,520 --> 00:13:31,800 Speaker 3: after that, we were talking with a guy who was 224 00:13:31,800 --> 00:13:35,080 Speaker 3: a local banker and he actually was aware of this song. 225 00:13:35,120 --> 00:13:37,520 Speaker 3: And this is like a staid white guy in his sixties. 226 00:13:38,120 --> 00:13:40,920 Speaker 3: But I mean we played a censored clip of it 227 00:13:40,960 --> 00:13:42,800 Speaker 3: and it's, you know, NBA young boy in a boat, 228 00:13:42,880 --> 00:13:44,720 Speaker 3: like I got my PP loan out, and there are 229 00:13:44,720 --> 00:13:47,080 Speaker 3: people like throwing money and eating cramp legs, and so 230 00:13:47,120 --> 00:13:50,200 Speaker 3: I'm like, I think that a lot of that money 231 00:13:50,280 --> 00:13:52,319 Speaker 3: was taken out. And I mean in Chicago was a 232 00:13:52,400 --> 00:13:54,800 Speaker 3: running joke, but in the Bosnian and Armenia, and I've 233 00:13:54,840 --> 00:13:56,520 Speaker 3: named like five ethnic grips, I'm not I don't want 234 00:13:56,520 --> 00:14:01,199 Speaker 3: to like stereotype eighty one population in this All five 235 00:14:01,240 --> 00:14:05,040 Speaker 3: that I've named, though have been associated with people uses. 236 00:14:05,280 --> 00:14:08,680 Speaker 3: But anyway, like the stereotype, which is largely accurate, that 237 00:14:08,720 --> 00:14:11,120 Speaker 3: a lot of that money was taken out, and some 238 00:14:11,160 --> 00:14:13,200 Speaker 3: of it was invested in family businesses, but a lot 239 00:14:13,240 --> 00:14:16,520 Speaker 3: of us channeled over into vehicles that was used on 240 00:14:16,720 --> 00:14:19,880 Speaker 3: personal byes. It's almost untraceable because of how PEP loans 241 00:14:19,880 --> 00:14:22,600 Speaker 3: were assigned. So anyway, I think this is a national issue. 242 00:14:22,640 --> 00:14:25,200 Speaker 3: I think the Somali community in Minneapolis is way ahead 243 00:14:25,200 --> 00:14:27,240 Speaker 3: of the normal pace. I don't think people are going 244 00:14:27,280 --> 00:14:29,720 Speaker 3: to be allowed to forget that. Will anyone go to 245 00:14:30,160 --> 00:14:33,560 Speaker 3: jail is the question because I don't think like a 246 00:14:33,600 --> 00:14:37,280 Speaker 3: bunch of sketchy housewives from this African immigrant community, you 247 00:14:37,440 --> 00:14:40,440 Speaker 3: just did this all on their own and we're allowed 248 00:14:40,440 --> 00:14:42,240 Speaker 3: to get away with it. I mean, I think, you know, 249 00:14:42,280 --> 00:14:44,640 Speaker 3: Illino Omar is very friendly with this team that was 250 00:14:44,680 --> 00:14:47,720 Speaker 3: in charge of feeding our future. Yeah, one of the people, 251 00:14:47,720 --> 00:14:50,080 Speaker 3: and yeah, I mean so like ten Walls is the 252 00:14:50,120 --> 00:14:52,880 Speaker 3: governor of the state. So the question with these cases 253 00:14:52,960 --> 00:14:55,560 Speaker 3: is always like, we hear the New York Times report 254 00:14:55,600 --> 00:14:58,560 Speaker 3: done this twice, and they did, but their suggestion was like, 255 00:14:58,640 --> 00:15:00,680 Speaker 3: go all the way up to the upper level, like 256 00:15:00,800 --> 00:15:04,760 Speaker 3: arrest fairly senior executive than these charities. I mean, I 257 00:15:04,800 --> 00:15:08,880 Speaker 3: think there's probably a step beyond that that their crisis managing, right, 258 00:15:09,000 --> 00:15:12,120 Speaker 3: Like you you you could easily take down some pretty 259 00:15:12,120 --> 00:15:14,200 Speaker 3: big people if you want to do. That's my opinion here. 260 00:15:14,720 --> 00:15:17,360 Speaker 1: Yeah, And you know, it's funny. I watched some some 261 00:15:17,480 --> 00:15:19,760 Speaker 1: leftist meme or something trying to make a big deal 262 00:15:19,800 --> 00:15:22,720 Speaker 1: about the fact that, like the the woman at the 263 00:15:22,840 --> 00:15:24,840 Speaker 1: at the top of this who instigat all this happens 264 00:15:24,840 --> 00:15:27,040 Speaker 1: to be a white woman, and they're like, uh, you know, 265 00:15:27,360 --> 00:15:29,480 Speaker 1: why aren't you talking about her? Sure, let's talk about 266 00:15:29,480 --> 00:15:32,280 Speaker 1: her too, like this isn't about the skin color of 267 00:15:32,320 --> 00:15:35,680 Speaker 1: the people doing it. This is about fraud on a 268 00:15:35,720 --> 00:15:41,200 Speaker 1: massive level that to your point about like the VPP song, 269 00:15:41,720 --> 00:15:44,960 Speaker 1: there seems to be no shame about it. There seems 270 00:15:44,960 --> 00:15:51,080 Speaker 1: to be the anger at those who shed light on it. 271 00:15:51,680 --> 00:15:57,000 Speaker 1: And that's the These are the transgressors, Nick, Nick, Shirley 272 00:15:57,240 --> 00:16:02,240 Speaker 1: is the transgressor here. And you know, and we've played 273 00:16:02,240 --> 00:16:05,600 Speaker 1: this clip of this woman who's an American but came 274 00:16:05,640 --> 00:16:09,680 Speaker 1: from Brazil who talked about how in Brazil four years 275 00:16:09,760 --> 00:16:12,360 Speaker 1: and now there's a culture there where you're almost a 276 00:16:12,480 --> 00:16:17,080 Speaker 1: chump if you pay your taxes or if you don't 277 00:16:17,160 --> 00:16:20,440 Speaker 1: find a way to game the system because everyone else 278 00:16:20,880 --> 00:16:23,840 Speaker 1: is gaming the system there. I mean, is that where 279 00:16:23,600 --> 00:16:25,920 Speaker 1: we're going as a culture if we don't stop this 280 00:16:26,000 --> 00:16:26,960 Speaker 1: kind of stuff. 281 00:16:28,280 --> 00:16:30,880 Speaker 3: I'm not sure where if that's not where we've already 282 00:16:30,960 --> 00:16:33,040 Speaker 3: been in some of the bigger cities. And I'm not 283 00:16:33,080 --> 00:16:39,280 Speaker 3: sure that that's automatically uncivilized. So obviously, first of all, 284 00:16:39,280 --> 00:16:41,080 Speaker 3: you should be as ethical as possible when it comes 285 00:16:41,120 --> 00:16:43,160 Speaker 3: to situations or you're given your word that kind of thing. 286 00:16:43,160 --> 00:16:45,040 Speaker 3: I think this would be a bad move. But like 287 00:16:45,040 --> 00:16:47,120 Speaker 3: an example of this for about the past fifty years 288 00:16:47,120 --> 00:16:49,880 Speaker 3: has been college applications where it's a running joke that 289 00:16:50,040 --> 00:16:53,360 Speaker 3: like everyone who applies and I mean I'm the executive 290 00:16:53,360 --> 00:16:56,000 Speaker 3: of a black school, like every third student in like 291 00:16:56,000 --> 00:17:00,400 Speaker 3: one eighth Cherokee, because that's an advantage in the applications process. 292 00:16:59,880 --> 00:17:03,600 Speaker 3: I think you do get into these strategic games, right 293 00:17:03,720 --> 00:17:07,840 Speaker 3: where if you know that affirmative action exists and that 294 00:17:07,880 --> 00:17:11,680 Speaker 3: generally disadvantages white and Asian males, you kind of are 295 00:17:11,760 --> 00:17:13,960 Speaker 3: a sucker if you don't stay. Well, I'm a white male, 296 00:17:14,000 --> 00:17:17,840 Speaker 3: but I'm technically Peruvian, so everyone says that, and you 297 00:17:17,960 --> 00:17:20,960 Speaker 3: return to a rough equilibrium, and yeah, I think we 298 00:17:21,080 --> 00:17:24,679 Speaker 3: see that pretty frequently at a larger scale, and like 299 00:17:24,720 --> 00:17:29,000 Speaker 3: the successful Third World countries Malaysia, Brazil, so on the line, 300 00:17:29,119 --> 00:17:31,919 Speaker 3: what basically happens is just that it's understood everyone's going 301 00:17:31,960 --> 00:17:35,600 Speaker 3: to lie. So there's a lot less kind of supervision 302 00:17:35,680 --> 00:17:37,960 Speaker 3: and rule following than in the USA. But things work 303 00:17:38,000 --> 00:17:40,679 Speaker 3: pretty well. You know, are we going to get to 304 00:17:40,680 --> 00:17:45,240 Speaker 3: that level? Hopefully not, especially since we don't admit to 305 00:17:45,320 --> 00:17:48,439 Speaker 3: that kind of Maniana attitude in the USA. What you 306 00:17:48,600 --> 00:17:50,480 Speaker 3: might wind up with is the system, and this I 307 00:17:50,480 --> 00:17:52,160 Speaker 3: think is the worry that a lot of a lot 308 00:17:52,200 --> 00:17:55,600 Speaker 3: of Middle West people have. You wind up with narco tyranny, 309 00:17:55,600 --> 00:17:57,560 Speaker 3: which is a system where a lot of people are 310 00:17:57,560 --> 00:18:00,680 Speaker 3: following the very precise rules and their docum every time 311 00:18:00,680 --> 00:18:03,080 Speaker 3: they make a mistake, and because of that, it seems 312 00:18:03,080 --> 00:18:05,359 Speaker 3: like those people get it in trouble fairly often. And 313 00:18:05,359 --> 00:18:07,119 Speaker 3: then you have other people who just say this is 314 00:18:07,160 --> 00:18:09,560 Speaker 3: all bs, this is enforced maybe one time in a thousand, 315 00:18:09,560 --> 00:18:12,120 Speaker 3: I'm not obeying any of the rules, and those people 316 00:18:12,160 --> 00:18:13,919 Speaker 3: seem to kind of skate through in life and in 317 00:18:13,960 --> 00:18:16,639 Speaker 3: that system, I mean, if you do fall to that level, 318 00:18:17,720 --> 00:18:20,160 Speaker 3: I mean, yeah, people are going to start defecting from 319 00:18:20,200 --> 00:18:22,399 Speaker 3: the game. Another example, I'm not going to go on 320 00:18:22,520 --> 00:18:24,600 Speaker 3: about this, but would be extra time for tests like 321 00:18:24,640 --> 00:18:27,080 Speaker 3: in education, where like forty percent of people now say 322 00:18:27,080 --> 00:18:28,280 Speaker 3: they're disabled. 323 00:18:29,000 --> 00:18:32,239 Speaker 1: Right, that gives you an extra hour or two or 324 00:18:32,359 --> 00:18:36,879 Speaker 1: unlimited if you're taking the SAT in every state. I 325 00:18:36,920 --> 00:18:38,760 Speaker 1: think you're allowed to do that. If you say you're 326 00:18:38,880 --> 00:18:40,680 Speaker 1: quote unquote learning disabled. 327 00:18:41,840 --> 00:18:44,280 Speaker 3: Yeah, it's an extra hour plus in Kentucky. I'm sure 328 00:18:44,280 --> 00:18:46,879 Speaker 3: it's the same where you are. And again, you just 329 00:18:46,920 --> 00:18:49,240 Speaker 3: get into the strategic game, like a lot of people 330 00:18:49,320 --> 00:18:52,879 Speaker 3: do have some technical disability like add there's nothing hyper 331 00:18:53,000 --> 00:18:56,560 Speaker 3: dishonorable about saying you might. I mean, this isn't murdering 332 00:18:56,560 --> 00:19:00,159 Speaker 3: a kid. So between those two you get into a game. 333 00:19:00,160 --> 00:19:02,359 Speaker 3: We're thirty forty percent of people who are saying this, 334 00:19:02,840 --> 00:19:05,639 Speaker 3: and now if you don't, you kind of are a sucker. 335 00:19:06,000 --> 00:19:07,439 Speaker 3: So I mean, like I said, I guess to the 336 00:19:07,440 --> 00:19:10,159 Speaker 3: point I'm rambling a little bit. There already are a 337 00:19:10,200 --> 00:19:12,360 Speaker 3: lot of Game of five situations like this, and Yeah, 338 00:19:12,400 --> 00:19:16,320 Speaker 3: what you see is everyone eventually just says the thing. 339 00:19:17,359 --> 00:19:21,400 Speaker 1: Yeah, it's it's uh, it's scary, and I don't want 340 00:19:21,440 --> 00:19:25,480 Speaker 1: to go that way, but we seem to be going 341 00:19:25,680 --> 00:19:27,960 Speaker 1: that way. A lot of people seem to be going 342 00:19:28,000 --> 00:19:31,919 Speaker 1: that way, and I hope, I hope it stops. Anyway, 343 00:19:31,960 --> 00:19:34,399 Speaker 1: we are up against a break. We will continue with 344 00:19:34,440 --> 00:19:36,199 Speaker 1: doctor wilfin Riley on the other side of it. This 345 00:19:36,280 --> 00:19:39,399 Speaker 1: is Tony Katz today. I am Mike Coolidge in for Tony. 346 00:19:39,960 --> 00:19:46,919 Speaker 1: We're right back. We're back on Tony Kats most today. 347 00:19:47,480 --> 00:19:47,840 Speaker 3: Girls. 348 00:19:49,400 --> 00:19:54,200 Speaker 1: Yeah, that would be the old John von Jovie character runaway. 349 00:19:54,800 --> 00:19:56,760 Speaker 1: What does this have to do with all the other 350 00:19:56,840 --> 00:20:01,119 Speaker 1: songs we heard? We are uh kind to ask you 351 00:20:01,160 --> 00:20:03,959 Speaker 1: to call in if you know all the other previous 352 00:20:04,000 --> 00:20:06,880 Speaker 1: songs we've heard this hour, What is the phone number 353 00:20:06,880 --> 00:20:08,879 Speaker 1: of Landing for people to call in. I don't have 354 00:20:08,880 --> 00:20:11,719 Speaker 1: a memorize because I don't ask people to call in 355 00:20:11,720 --> 00:20:13,479 Speaker 1: on twenty Cats today because I'm not twenty Cats. I'm 356 00:20:13,480 --> 00:20:14,159 Speaker 1: my Coolidge. 357 00:20:14,359 --> 00:20:16,639 Speaker 2: So if anyone wants to call in to try to 358 00:20:16,680 --> 00:20:20,360 Speaker 2: guess the answer, it is three one seven six four 359 00:20:20,440 --> 00:20:23,400 Speaker 2: three eight seven zero zero. Again the number is three 360 00:20:23,440 --> 00:20:27,119 Speaker 2: one seven six four three eight seven zero zero. 361 00:20:27,680 --> 00:20:33,280 Speaker 1: Okay, those are the songs already played this show. Cars 362 00:20:33,320 --> 00:20:35,880 Speaker 1: Moving in Stereo, Rocky Like a Hurricane, The Scorpion, Sunglasses 363 00:20:35,920 --> 00:20:38,560 Speaker 1: at Night, Corey Hart, California Dreaming by the Beach Boys, 364 00:20:38,600 --> 00:20:41,359 Speaker 1: the version of California Dreaming by the Beach Boys because 365 00:20:41,359 --> 00:20:43,359 Speaker 1: they did not write that song. This last one is 366 00:20:43,440 --> 00:20:47,240 Speaker 1: Runaway on Joe the the number one more time. If 367 00:20:47,240 --> 00:20:51,080 Speaker 1: you know what connects these songs, go ahead down land 368 00:20:51,119 --> 00:20:52,440 Speaker 1: and give it against please sorry. 369 00:20:52,320 --> 00:20:55,680 Speaker 2: One final time. That number is three one seven six 370 00:20:55,840 --> 00:20:58,000 Speaker 2: four three eight seven zero zero. 371 00:20:59,680 --> 00:21:05,000 Speaker 1: Right, we continue with doctor Wilford Riley from Kentucky State 372 00:21:05,280 --> 00:21:11,040 Speaker 1: University and from Unified Solutions America. I think the last 373 00:21:11,040 --> 00:21:13,919 Speaker 1: time you came on will we didn't get to. We 374 00:21:14,000 --> 00:21:17,960 Speaker 1: ran out of time to talk about Unified Solutions America. 375 00:21:18,119 --> 00:21:20,920 Speaker 1: So I want to ask you about it right from 376 00:21:20,960 --> 00:21:23,920 Speaker 1: the beginning, and full disclosure, I'm on the advisory board 377 00:21:24,000 --> 00:21:27,560 Speaker 1: of Unified Solutions of America. But it's awesome. It's a 378 00:21:27,560 --> 00:21:29,879 Speaker 1: great idea, which is why when I heard about it, 379 00:21:29,920 --> 00:21:31,240 Speaker 1: I'm like, I want to help. 380 00:21:31,600 --> 00:21:32,040 Speaker 2: What is it? 381 00:21:32,080 --> 00:21:34,679 Speaker 1: Will Well your. 382 00:21:34,640 --> 00:21:37,040 Speaker 3: Side Solutions in America is one of the first, I think, 383 00:21:37,200 --> 00:21:43,000 Speaker 3: the first major at scale anti DEI consulting companies, and 384 00:21:43,080 --> 00:21:45,560 Speaker 3: it comes out of a conversation that the three founders 385 00:21:45,680 --> 00:21:50,000 Speaker 3: had when we were filming a movie. It's myself Kevin 386 00:21:50,119 --> 00:21:53,200 Speaker 3: Jackson who used to be with Fox, and Brooks Crenshaw 387 00:21:53,520 --> 00:21:55,359 Speaker 3: who used to be an intel guy with the Navy 388 00:21:55,359 --> 00:21:59,840 Speaker 3: Sealed Teams, and the conversation was well, for the past 389 00:22:00,119 --> 00:22:04,400 Speaker 3: in years, we've had this ideology really going into business. 390 00:22:04,480 --> 00:22:09,920 Speaker 3: That said root an anti business ideology where the core 391 00:22:09,960 --> 00:22:12,440 Speaker 3: theme is the focus of what your company does should 392 00:22:12,480 --> 00:22:15,840 Speaker 3: be something other than making money, making a profit, hiring 393 00:22:15,880 --> 00:22:23,280 Speaker 3: the best people. It's instead focusing on diversity, equity, etc. 394 00:22:23,680 --> 00:22:27,840 Speaker 3: Down the line inclusion. You also have sel in education, 395 00:22:28,040 --> 00:22:32,520 Speaker 3: something similar esg Environmental, Social, corporate governments, all all this 396 00:22:32,640 --> 00:22:37,800 Speaker 3: garbage and this now is a major part of corporate praxis. 397 00:22:37,880 --> 00:22:40,480 Speaker 3: It's in the hiring manuals. We've used an AI to 398 00:22:40,600 --> 00:22:43,040 Speaker 3: evaluate those. I think you're a part of that conversation. 399 00:22:43,080 --> 00:22:45,960 Speaker 3: Actually the results are incredible. You know, we've talked to 400 00:22:46,000 --> 00:22:50,880 Speaker 3: people like Vocal Distance and James Lindsey about how pervasive 401 00:22:50,960 --> 00:22:52,480 Speaker 3: this is up in the C suite. They do a 402 00:22:52,520 --> 00:22:55,560 Speaker 3: lot of consulting meetings there. So basically, long story short, 403 00:22:55,600 --> 00:22:59,000 Speaker 3: we decided to offer a product, offer a solution, pretty 404 00:22:59,080 --> 00:23:01,520 Speaker 3: turn key, where we come in there and remove this 405 00:23:01,680 --> 00:23:04,920 Speaker 3: and kind of Step one is we will literally use 406 00:23:05,040 --> 00:23:09,680 Speaker 3: AI tools and the services of people like me, James Local, 407 00:23:10,240 --> 00:23:14,480 Speaker 3: Charles Love, I mean a number of logan lancing, people 408 00:23:14,480 --> 00:23:16,879 Speaker 3: that have worked in military special ops, people that have 409 00:23:16,920 --> 00:23:20,200 Speaker 3: a code back hoding background. We will literally scroll through 410 00:23:20,240 --> 00:23:23,520 Speaker 3: all your stuff, what your practice practice is right now 411 00:23:23,520 --> 00:23:25,960 Speaker 3: and see how to use Kevin's term, pregnant you are 412 00:23:25,960 --> 00:23:28,400 Speaker 3: with the EI, how much this has impacted your business. 413 00:23:28,680 --> 00:23:30,600 Speaker 3: We'll look at your trainings, we'll look at your hiring. 414 00:23:31,920 --> 00:23:34,800 Speaker 3: Step two, we're available too. I don't know if everyone's 415 00:23:34,840 --> 00:23:37,280 Speaker 3: going to want this product. We're available to come into 416 00:23:37,359 --> 00:23:39,879 Speaker 3: your company with some of the people that I have 417 00:23:40,040 --> 00:23:43,479 Speaker 3: just described and explain the roots of this stuff. I mean, 418 00:23:43,480 --> 00:23:45,960 Speaker 3: we have some of the world experts local distance on 419 00:23:46,000 --> 00:23:49,159 Speaker 3: social media is Michael Young, the Canadian philosopher. We have 420 00:23:49,200 --> 00:23:53,760 Speaker 3: some of the world experts in the background of this stuff, 421 00:23:53,800 --> 00:23:58,680 Speaker 3: where it came from, who the inspirational sources for it were. 422 00:23:58,720 --> 00:24:02,080 Speaker 3: There were often Marxist things. So we can sit down 423 00:24:02,080 --> 00:24:04,800 Speaker 3: with your executives, we can sit down with your employees, 424 00:24:04,840 --> 00:24:07,159 Speaker 3: your headcount, we can talk to them. I'm more than 425 00:24:07,160 --> 00:24:09,399 Speaker 3: available for this. Brooks is more than available for this. 426 00:24:09,800 --> 00:24:12,000 Speaker 3: So we can see how much this has impacted you. 427 00:24:12,040 --> 00:24:13,920 Speaker 3: We can see what your materials used to be, we 428 00:24:13,960 --> 00:24:16,199 Speaker 3: can see what they are now. We can talk to 429 00:24:16,280 --> 00:24:18,560 Speaker 3: your workforce. And the third idea is that we can 430 00:24:18,760 --> 00:24:23,000 Speaker 3: replace what you have with a new idea, well a 431 00:24:23,119 --> 00:24:29,000 Speaker 3: very old idea, right, but on hiring, training, retention to 432 00:24:29,119 --> 00:24:33,119 Speaker 3: gatherings that's inspired by the term we use is cohesion culture, 433 00:24:33,119 --> 00:24:37,639 Speaker 3: but really by military sort of hr by together in 434 00:24:37,680 --> 00:24:40,520 Speaker 3: this ideology. And Brooks Crenshaw, who I just mentioned, is 435 00:24:40,520 --> 00:24:43,520 Speaker 3: the guy who's really put that piece together for us. 436 00:24:43,520 --> 00:24:48,200 Speaker 3: But we can in fact substitute what you've been doing, 437 00:24:48,240 --> 00:24:51,080 Speaker 3: which is really likely to weaken whatever team you have 438 00:24:51,240 --> 00:24:55,520 Speaker 3: with a purely merit based ideology that's in fact stronger 439 00:24:55,560 --> 00:24:57,479 Speaker 3: than the one you had before the start of all 440 00:24:57,520 --> 00:25:01,000 Speaker 3: this ten years ago. And a big of this is, 441 00:25:02,119 --> 00:25:04,760 Speaker 3: I mean about five years ago, Harvard Business Review ran 442 00:25:04,880 --> 00:25:07,199 Speaker 3: a great article everyone just ignored. It was called Diversity 443 00:25:07,359 --> 00:25:08,240 Speaker 3: training doesn't Work. 444 00:25:09,359 --> 00:25:13,520 Speaker 1: And they look Harvard, all of these not not known 445 00:25:13,560 --> 00:25:17,480 Speaker 1: as a conservative institution, not. 446 00:25:17,520 --> 00:25:23,240 Speaker 3: A bastion of you know, Abe Lincoln over to mister 447 00:25:23,320 --> 00:25:26,400 Speaker 3: Hyaek philosophy, But no, they and I noticed that they 448 00:25:26,440 --> 00:25:28,760 Speaker 3: never allowed this to be replicated. There's not there's not 449 00:25:28,800 --> 00:25:31,640 Speaker 3: an espny an issue devoted to this type of thought. 450 00:25:32,119 --> 00:25:34,240 Speaker 3: But I mean they basically they had a quant look 451 00:25:34,280 --> 00:25:38,080 Speaker 3: at all of these these programs and they they assessed 452 00:25:38,119 --> 00:25:44,480 Speaker 3: whether diversity, equity, inclusion ideology training, whether it improved any 453 00:25:44,600 --> 00:25:47,919 Speaker 3: metrics for companies, and what they found was no. And 454 00:25:47,960 --> 00:25:51,119 Speaker 3: that's a pretty consistent finding across this entire era. Like 455 00:25:51,320 --> 00:25:54,880 Speaker 3: what I usually lead corporate speeches with is that race 456 00:25:54,960 --> 00:25:58,200 Speaker 3: relations and kind of that Jordans and Byrd nineteen nineties 457 00:25:58,240 --> 00:26:01,920 Speaker 3: were actually really good. In nineteen ninety we weren't. Nothing 458 00:26:02,119 --> 00:26:04,840 Speaker 3: was perfect yet, But if you asked black and white males. 459 00:26:05,040 --> 00:26:07,200 Speaker 3: This is integrated team sports. When going on for forty 460 00:26:07,280 --> 00:26:11,360 Speaker 3: years at this point, how how you would rate ethnic 461 00:26:11,400 --> 00:26:13,400 Speaker 3: inner group relations. The fancy we have of saying race 462 00:26:13,440 --> 00:26:17,600 Speaker 3: relations seventy percent of white, sixty five to sixty seven 463 00:26:17,640 --> 00:26:20,639 Speaker 3: percent of black set very good. By the end of 464 00:26:20,680 --> 00:26:23,760 Speaker 3: the Black Lives Matter era, that had dropped. You see 465 00:26:23,840 --> 00:26:27,440 Speaker 3: this constant coverage of Blacks beating off whites, of innocent 466 00:26:27,480 --> 00:26:29,560 Speaker 3: black men being shot by cops, just on and on, 467 00:26:29,680 --> 00:26:31,360 Speaker 3: that had dropped to I think there might be off 468 00:26:31,359 --> 00:26:33,800 Speaker 3: by a point, but thirty three percent for white, it's 469 00:26:33,800 --> 00:26:38,000 Speaker 3: thirty percent for blacks. So this kind of constant focus 470 00:26:38,040 --> 00:26:40,840 Speaker 3: on race. You're oppressed. He's the oppressor. You guys really 471 00:26:40,920 --> 00:26:43,960 Speaker 3: hate each other, you're your golf foursome is plotting behind 472 00:26:44,000 --> 00:26:49,000 Speaker 3: your back. That had a really profound negative impact that 473 00:26:49,040 --> 00:26:50,919 Speaker 3: we want to reverse. And yeah, that's what that's what 474 00:26:50,960 --> 00:26:54,920 Speaker 3: even the Harvard boys found. So Unified Solutions of America. 475 00:26:54,960 --> 00:26:58,399 Speaker 3: That's Unified Solutions America dot com. I mean, we've got 476 00:26:58,440 --> 00:27:01,840 Speaker 3: white papers. You've got obviously you would have to pay 477 00:27:01,880 --> 00:27:04,760 Speaker 3: for all of us, probably including yourself, to come on 478 00:27:04,880 --> 00:27:07,240 Speaker 3: site and interview employees. I'm one of the country's best 479 00:27:07,280 --> 00:27:09,800 Speaker 3: survey man on ironically, but like if you go to 480 00:27:09,840 --> 00:27:11,639 Speaker 3: the site, you'll see the white papers. Just do the 481 00:27:11,640 --> 00:27:13,800 Speaker 3: breakdown of what it is. We do some of our 482 00:27:13,880 --> 00:27:16,919 Speaker 3: crew to interview with templates, and the core of this 483 00:27:17,119 --> 00:27:21,159 Speaker 3: is we will go into your company and take out 484 00:27:21,200 --> 00:27:23,640 Speaker 3: the stuff to cut race relationships at half. Then that's it. 485 00:27:25,160 --> 00:27:28,480 Speaker 1: And gosh, you know, wouldn't it be great to do 486 00:27:28,560 --> 00:27:31,880 Speaker 1: that to the entire United States of America. 487 00:27:32,640 --> 00:27:32,760 Speaker 3: Uh? 488 00:27:33,000 --> 00:27:36,320 Speaker 1: You know, I feel like culturally we seem to be 489 00:27:36,440 --> 00:27:43,840 Speaker 1: moving away from DEI. But it's not disappearing everywhere, as 490 00:27:43,960 --> 00:27:49,119 Speaker 1: as has been pointed out on in part of the language, 491 00:27:49,640 --> 00:27:52,040 Speaker 1: it's just got a new wardrobe and a new name. 492 00:27:52,560 --> 00:27:59,159 Speaker 1: You know, it's hiding in plain sight belonging, cultural competence, competency, inclusion, leadership, 493 00:27:59,520 --> 00:28:04,000 Speaker 1: equities centered strategy. Uh. These people who have been peddling this, this, 494 00:28:04,200 --> 00:28:08,359 Speaker 1: these toxic ideologies for years haven't given up. They're just 495 00:28:08,440 --> 00:28:11,680 Speaker 1: kind of like disguising it now. And again that's where 496 00:28:11,720 --> 00:28:14,400 Speaker 1: Unified Solutions of America comes in. But let's peak under 497 00:28:14,440 --> 00:28:17,080 Speaker 1: your hood a little bit more and uh, you know, 498 00:28:17,119 --> 00:28:20,399 Speaker 1: find out these uh point out these these critters of 499 00:28:20,560 --> 00:28:25,160 Speaker 1: these these terrible ideologies. So I think there's a lot there. 500 00:28:25,200 --> 00:28:26,480 Speaker 3: First of all, I mean you and I both have 501 00:28:26,520 --> 00:28:29,440 Speaker 3: a pretty significant background in business, and so Brokesman, Kevin, 502 00:28:29,480 --> 00:28:31,600 Speaker 3: I mean, I wouldn't have a problem staffing up and 503 00:28:31,640 --> 00:28:33,520 Speaker 3: going to work for the Department of the Treasury or 504 00:28:33,520 --> 00:28:36,399 Speaker 3: something if amental plant was interc Yeah, I mean, so 505 00:28:37,240 --> 00:28:38,840 Speaker 3: let's do it. Do it at the highest level, right, 506 00:28:38,880 --> 00:28:42,120 Speaker 3: But I mean so yeah, I think the entire country 507 00:28:42,120 --> 00:28:44,480 Speaker 3: we could use kind of a purge from this stuff. Again, 508 00:28:44,520 --> 00:28:47,440 Speaker 3: that race relations data is from the entire country. I 509 00:28:47,480 --> 00:28:50,160 Speaker 3: do think what we see with S. S. JW is quote 510 00:28:50,200 --> 00:28:52,920 Speaker 3: unquote is that their tricksy to quote billbo bag it. 511 00:28:53,000 --> 00:28:56,200 Speaker 3: And so like you're going to see a lot of this, 512 00:28:56,360 --> 00:28:58,600 Speaker 3: like you just I mean you gave the great terms there. 513 00:28:58,600 --> 00:29:00,840 Speaker 3: Like we're going to see the DEI officer becoming a 514 00:29:00,920 --> 00:29:04,000 Speaker 3: cultural confetence officer. I think it was Kevin who's got 515 00:29:04,040 --> 00:29:06,200 Speaker 3: probably the best sense of humor among the founder team. 516 00:29:06,240 --> 00:29:08,640 Speaker 3: He just started tracking ten C level executives, the d 517 00:29:09,040 --> 00:29:11,360 Speaker 3: people to see what they became. And one of the 518 00:29:11,320 --> 00:29:13,760 Speaker 3: mother was the Air Force Academy was the DEI officer 519 00:29:13,800 --> 00:29:15,280 Speaker 3: and like a week later it was like the chief 520 00:29:15,320 --> 00:29:16,120 Speaker 3: people manager. 521 00:29:16,960 --> 00:29:17,680 Speaker 1: So chief. 522 00:29:19,360 --> 00:29:22,280 Speaker 3: Yeah, corporate titles can be kirked as a dog tie leg. 523 00:29:22,320 --> 00:29:25,400 Speaker 1: They that's like the Human on Seinfeld. The charity, it's 524 00:29:25,480 --> 00:29:28,920 Speaker 1: the Human Fund. You know, we're for humans, money for people. 525 00:29:30,120 --> 00:29:31,760 Speaker 3: Who can to be against it, right, I mean, but 526 00:29:32,080 --> 00:29:36,520 Speaker 3: and actually I mean that that really is what almost 527 00:29:36,760 --> 00:29:40,480 Speaker 3: every fraudulent business or mid level in GEO calls itself. 528 00:29:41,240 --> 00:29:45,040 Speaker 3: When I was in college, I did some street canvassing 529 00:29:45,240 --> 00:29:49,080 Speaker 3: for one of those kind of guns for higher groups 530 00:29:49,120 --> 00:29:51,200 Speaker 3: that goes about for left wing groups like the Human 531 00:29:51,280 --> 00:29:53,800 Speaker 3: Rights Campaign, right wing groups like Ducks Unlimited. They'll just 532 00:29:53,840 --> 00:29:55,760 Speaker 3: say like, give us fifty healthy young men, put them 533 00:29:55,760 --> 00:29:57,880 Speaker 3: on streetet corners. And the group's name was like the 534 00:29:57,960 --> 00:30:01,920 Speaker 3: Fund for the Good Public Interest. So it's all you're 535 00:30:01,960 --> 00:30:06,320 Speaker 3: never going to say, like the you know, traveling hired guns. 536 00:30:06,680 --> 00:30:09,080 Speaker 3: I found out about an all Indian American I've been 537 00:30:09,200 --> 00:30:11,640 Speaker 3: being wrong with that ethnic population, but like all Indian 538 00:30:11,720 --> 00:30:16,160 Speaker 3: Americans scam business recently that's giving these massive loans of 539 00:30:16,160 --> 00:30:18,200 Speaker 3: gas stations while I was helping a friend with some 540 00:30:18,200 --> 00:30:21,280 Speaker 3: repporting work. And its name is like the Bank of Texas. 541 00:30:21,480 --> 00:30:24,160 Speaker 3: So you want to be as anonymous as possible. 542 00:30:24,160 --> 00:30:25,160 Speaker 1: Right right, And you. 543 00:30:25,560 --> 00:30:27,960 Speaker 3: Want to play and move around in the shadows as 544 00:30:28,040 --> 00:30:29,880 Speaker 3: much as possible. I think the dep people are going 545 00:30:29,960 --> 00:30:33,360 Speaker 3: to prove to be the past masters of that for sure. 546 00:30:34,240 --> 00:30:36,800 Speaker 1: Well yeah, if you own the language, you own the 547 00:30:36,800 --> 00:30:41,680 Speaker 1: culture in so many ways, Doctor Wilford Riley, Kentucky State University. 548 00:30:41,760 --> 00:30:44,840 Speaker 1: We unfortunately are out of time on this last day 549 00:30:45,560 --> 00:30:48,760 Speaker 1: this year, is almost out of time. Anything else you 550 00:30:48,760 --> 00:30:51,720 Speaker 1: would like to add to listeners just north of you 551 00:30:52,280 --> 00:30:56,000 Speaker 1: in Indiana and elsewhere in these United States before we 552 00:30:56,000 --> 00:30:57,280 Speaker 1: say goodbye to twenty. 553 00:30:57,080 --> 00:31:02,680 Speaker 3: Twenty five, just say, focused on near health, spirituality, all 554 00:31:02,760 --> 00:31:05,200 Speaker 3: that in the upcoming year. And I guess one final 555 00:31:05,280 --> 00:31:07,840 Speaker 3: thing that I always do add in my speeches. Remember 556 00:31:07,840 --> 00:31:09,720 Speaker 3: that the crazy stuff you see online and then the 557 00:31:09,840 --> 00:31:12,360 Speaker 3: mainstream media mostly isn't real. And you look up the 558 00:31:12,360 --> 00:31:16,440 Speaker 3: total number interracial police killing in the year, it's ten 559 00:31:16,720 --> 00:31:19,680 Speaker 3: or whatever. So what you're being curated when we all 560 00:31:19,680 --> 00:31:21,440 Speaker 3: fight with each other a lot on political and racial 561 00:31:21,480 --> 00:31:23,320 Speaker 3: lines isn't accurate. At what you see when you go 562 00:31:23,360 --> 00:31:25,320 Speaker 3: to like a high school football game is accurate? Or 563 00:31:25,400 --> 00:31:26,000 Speaker 3: keep that in mind. 564 00:31:27,000 --> 00:31:30,600 Speaker 1: Will Duh Beast six point thirty on X will underscore 565 00:31:30,640 --> 00:31:34,560 Speaker 1: Duh Underscore Beast. Just search for Wilford Riley one l 566 00:31:34,720 --> 00:31:37,040 Speaker 1: and you'll find him. Wilfrid Riley, thanks so much for 567 00:31:37,120 --> 00:31:40,200 Speaker 1: coming back onto the radio and happy New Year twenty 568 00:31:40,240 --> 00:31:44,840 Speaker 1: twenty five. Two two, Well we're at back, We're back. 569 00:31:47,200 --> 00:31:54,360 Speaker 1: Thank you, sting lay us out the class out. What 570 00:31:54,440 --> 00:31:57,840 Speaker 1: does this song have to do with anything at all? 571 00:31:57,880 --> 00:32:00,720 Speaker 1: It does? There's the theme we've been doing it all 572 00:32:01,160 --> 00:32:04,520 Speaker 1: show here on Tony Katz today. I am Mike Coolidge 573 00:32:04,680 --> 00:32:09,320 Speaker 1: in for Tony Kats on this final day of twenty 574 00:32:09,360 --> 00:32:12,040 Speaker 1: twenty five and guts what it's already twenty twenty six. 575 00:32:12,600 --> 00:32:19,200 Speaker 1: Yay in Japan and in Australia, I think, yeah, they've 576 00:32:19,200 --> 00:32:23,960 Speaker 1: already celebrated. It's already twenty twenty six. They are in 577 00:32:24,000 --> 00:32:29,360 Speaker 1: the future and we are in the past twenty twenty five, 578 00:32:30,080 --> 00:32:35,040 Speaker 1: less than a day left. No matter where you're listening 579 00:32:35,120 --> 00:32:41,040 Speaker 1: to this. In the first half I guess of the twenties, right, 580 00:32:41,320 --> 00:32:44,560 Speaker 1: second half coming up, I just don't know does the 581 00:32:44,560 --> 00:32:47,600 Speaker 1: decade start? Did the decades start in twenty twenty one, 582 00:32:48,120 --> 00:32:49,800 Speaker 1: or did it start in twenty twenty to start in 583 00:32:49,840 --> 00:32:52,640 Speaker 1: twenty twenty one. Well, either way, we're definitely in the 584 00:32:52,680 --> 00:32:58,000 Speaker 1: second half of twenty of the twenties. After midnight to night. 585 00:32:58,920 --> 00:33:01,680 Speaker 1: We talked earlier in the sho Show about how this 586 00:33:01,760 --> 00:33:06,040 Speaker 1: is all about power. Right. The reason that Democrats in 587 00:33:06,080 --> 00:33:12,720 Speaker 1: Minnesota kiss up to the entire voting block called Somali 588 00:33:12,840 --> 00:33:17,719 Speaker 1: voters isn't because they they love the Somali culture and 589 00:33:17,760 --> 00:33:20,320 Speaker 1: the diversity and all that. No, it's because they all 590 00:33:20,400 --> 00:33:23,920 Speaker 1: vote together and they have power when they all vote together. 591 00:33:24,120 --> 00:33:26,440 Speaker 1: If anywhere from sixty thousand to one hundred thousand of 592 00:33:26,440 --> 00:33:30,560 Speaker 1: them all vote for the same party, that can sway 593 00:33:30,760 --> 00:33:34,680 Speaker 1: an election anyway. Either even if it's a two three 594 00:33:34,760 --> 00:33:38,240 Speaker 1: four percentage points, that's enough to swing elections. Scott Presler, 595 00:33:38,360 --> 00:33:40,760 Speaker 1: there's no one smarter at this stuff than Scott Presler. 596 00:33:40,800 --> 00:33:44,320 Speaker 1: Listen to him on the Fox News channel talking about 597 00:33:44,400 --> 00:33:48,840 Speaker 1: how they do same day registration and voting in Minnesota 598 00:33:48,920 --> 00:33:53,360 Speaker 1: and have for years. You're on the ground a lot, 599 00:33:53,600 --> 00:33:57,600 Speaker 1: and you love registering people to vote. But this is 600 00:33:57,760 --> 00:34:01,920 Speaker 1: concerning not only are they doing it Dad what outh 601 00:34:02,320 --> 00:34:05,760 Speaker 1: an ID? But they allow other people to vouch for 602 00:34:05,960 --> 00:34:06,800 Speaker 1: other voters. 603 00:34:08,760 --> 00:34:11,800 Speaker 4: Yes, I want to be very clear, this is according 604 00:34:11,800 --> 00:34:16,440 Speaker 4: to Minnesota state law that with vouching, no proof of 605 00:34:16,560 --> 00:34:22,040 Speaker 4: residency is required, No photo or voter ID is required. 606 00:34:22,680 --> 00:34:25,879 Speaker 4: If we were all living the same neighborhood. I could 607 00:34:25,960 --> 00:34:28,920 Speaker 4: vouch for you, Lawrence, and say I know Lawrence, I 608 00:34:29,040 --> 00:34:34,080 Speaker 4: know Will Caine, and just simply my vouching, and you 609 00:34:34,120 --> 00:34:38,960 Speaker 4: guys signing an oath declaring that you are following the law, 610 00:34:39,440 --> 00:34:42,080 Speaker 4: you will be handed two ballots and you will be 611 00:34:42,120 --> 00:34:45,160 Speaker 4: able to vote. And if I have six other friends 612 00:34:45,160 --> 00:34:49,040 Speaker 4: that I vouch for, my one registered voter in Minnesota 613 00:34:49,440 --> 00:34:53,360 Speaker 4: could get eight voters. Now what's even more concerning, and 614 00:34:53,400 --> 00:34:56,040 Speaker 4: you just said this earlier, is that if I were 615 00:34:56,080 --> 00:35:00,760 Speaker 4: an employee at a residential facility, according to state law, 616 00:35:01,200 --> 00:35:07,320 Speaker 4: I could vouch for unlimited voters by simply showing proof 617 00:35:07,400 --> 00:35:10,440 Speaker 4: of being an employee at the residential facility. And so, 618 00:35:10,520 --> 00:35:14,480 Speaker 4: thanks to Nick Sureley, we are now exposing potential fraud 619 00:35:14,560 --> 00:35:16,440 Speaker 4: when it comes to our election system. 620 00:35:17,719 --> 00:35:20,560 Speaker 1: Isn't that nuts? In twenty twenty, I'm sorry, In two 621 00:35:20,600 --> 00:35:25,760 Speaker 1: thousand and eight, five hundred and forty two thousand people 622 00:35:26,960 --> 00:35:32,600 Speaker 1: registered to vote. On the day of the election, half 623 00:35:32,719 --> 00:35:36,040 Speaker 1: a million people registered, and then in twenty twelve it 624 00:35:36,120 --> 00:35:38,839 Speaker 1: was five hundred and twenty seven. Twenty sixteen, it went 625 00:35:38,880 --> 00:35:42,080 Speaker 1: down three. In fifty two thousand, twenty twenty four is 626 00:35:42,200 --> 00:35:47,160 Speaker 1: almost three hundred thousand people registered to vote on election 627 00:35:47,280 --> 00:35:50,200 Speaker 1: day and voted. In other words, they were vouched torn stuff. 628 00:35:50,440 --> 00:35:54,400 Speaker 1: How nuts is that? And how ripe for corruption is that. 629 00:35:54,719 --> 00:35:56,680 Speaker 1: This is twenty cats today and Michael Jim per TONI 630 00:35:56,760 --> 00:35:57,439 Speaker 1: will be right back