1 00:00:00,160 --> 00:00:06,520 Speaker 1: Up next, Out Loud with Gianno called America's inner cities 2 00:00:06,519 --> 00:00:09,280 Speaker 1: have been flooded with federal money for decades, yet they 3 00:00:09,280 --> 00:00:13,920 Speaker 1: remained riddled with crime, poverty, and terrible schools. And today 4 00:00:14,040 --> 00:00:17,279 Speaker 1: these problems only seem to be getting worse, especially in 5 00:00:17,320 --> 00:00:21,200 Speaker 1: Baltimore in Chicago. Why is this the case and what 6 00:00:21,320 --> 00:00:23,720 Speaker 1: can be done about it? Today? I dig into the 7 00:00:23,720 --> 00:00:26,280 Speaker 1: facts and shed light on some of the unpleasant truths 8 00:00:26,640 --> 00:00:30,280 Speaker 1: with a very special guest. This is Outlied with Gianno Caldwell. 9 00:00:41,360 --> 00:00:44,600 Speaker 1: Welcome back to Allied with Gianno Calblo. I'm Giano Calblin 10 00:00:44,880 --> 00:00:47,200 Speaker 1: and I've got an amazing show for you guys this week. 11 00:00:47,680 --> 00:00:50,400 Speaker 1: We're doing something different, but I think you'll enjoy it. 12 00:00:50,800 --> 00:00:53,800 Speaker 1: I'm bringing on my dear friend Kimberly Klasick, who I'm 13 00:00:53,800 --> 00:00:56,320 Speaker 1: sure many of you already know, to co host with 14 00:00:56,360 --> 00:00:59,360 Speaker 1: me this week. Rather than me interviewing her as I 15 00:00:59,400 --> 00:01:02,000 Speaker 1: do with most of my guests, We're gonna tag team 16 00:01:02,080 --> 00:01:05,320 Speaker 1: this episode, having a really honest and in depth conversation 17 00:01:05,920 --> 00:01:08,880 Speaker 1: who knows, maybe even a debate on issues we both 18 00:01:08,920 --> 00:01:13,160 Speaker 1: really care about. Now, for those of you who don't 19 00:01:13,200 --> 00:01:16,559 Speaker 1: know Kim, she's a rock star in the Republican Party 20 00:01:16,560 --> 00:01:19,880 Speaker 1: in the Conservative movement in Camera and for Congress in 21 00:01:19,920 --> 00:01:23,280 Speaker 1: Maryland seven District, which includes much of Baltimore, winning the 22 00:01:23,319 --> 00:01:28,280 Speaker 1: Republican nomination. During the campaign, Kim gained national fame for 23 00:01:28,319 --> 00:01:32,080 Speaker 1: her creative and hard hitting ads calling out Baltimore's Democrat 24 00:01:32,200 --> 00:01:36,640 Speaker 1: leaders for filling the city's residents for decades. Earlier this year, 25 00:01:36,680 --> 00:01:40,720 Speaker 1: following the campaign, Kim founded Red Renaissance, a new and 26 00:01:40,760 --> 00:01:44,800 Speaker 1: influential political action committee dedicated to supporting the next generation 27 00:01:44,959 --> 00:01:48,760 Speaker 1: of conservative leaders. Kim and I will discuss her pack 28 00:01:48,840 --> 00:01:51,840 Speaker 1: and plans for the future, but first we dig in 29 00:01:51,880 --> 00:01:55,480 Speaker 1: to the rise in violent crime devastating American cities, the 30 00:01:55,640 --> 00:01:59,960 Speaker 1: terrible state of education in these cities, and all things COVID. 31 00:02:00,600 --> 00:02:03,160 Speaker 1: Trust me, you don't want to miss this one. Stay 32 00:02:03,160 --> 00:02:06,040 Speaker 1: in your seats. And with that, I want to bring 33 00:02:06,040 --> 00:02:09,720 Speaker 1: on my very dear friend, Kimberly Klasick. Kim, thank you 34 00:02:09,840 --> 00:02:12,880 Speaker 1: so much for doing this. I'm so excited to have 35 00:02:13,040 --> 00:02:16,320 Speaker 1: you on. This is really for me. Uh, it's an honor. 36 00:02:16,360 --> 00:02:19,800 Speaker 1: In a full circle moment, I remember many many years 37 00:02:19,800 --> 00:02:22,080 Speaker 1: ago how we met. You reached out to me on 38 00:02:22,120 --> 00:02:25,079 Speaker 1: Twitter and you wanted to talk about media, and I 39 00:02:25,120 --> 00:02:28,800 Speaker 1: was like, wow, Okay, first and foremost, this young lady 40 00:02:28,919 --> 00:02:32,600 Speaker 1: is very beautiful, Like who is this? Why haven't I 41 00:02:32,639 --> 00:02:34,799 Speaker 1: heard of her just yet? And we madden hit a 42 00:02:34,919 --> 00:02:40,200 Speaker 1: very friendly conversation, and um, from there has been just 43 00:02:40,240 --> 00:02:43,800 Speaker 1: a tremendous friendship of growth. You've grown in media and 44 00:02:43,840 --> 00:02:45,640 Speaker 1: so have I don't think at that point I was 45 00:02:45,680 --> 00:02:49,120 Speaker 1: on Fox News. But the little advice I was able 46 00:02:49,160 --> 00:02:52,840 Speaker 1: to offer you in contact, you took and you blew 47 00:02:52,880 --> 00:02:55,120 Speaker 1: it up and did something that I've never seen anyone 48 00:02:55,160 --> 00:02:57,800 Speaker 1: else do. So it's an honor to be working with 49 00:02:57,840 --> 00:03:00,480 Speaker 1: you and co hosting this show with you. I don't 50 00:03:00,480 --> 00:03:02,640 Speaker 1: thank you so much for having me back. I was 51 00:03:02,680 --> 00:03:04,480 Speaker 1: just thinking about the fact I think that was two 52 00:03:04,520 --> 00:03:07,679 Speaker 1: thousand and fourteen, and that we met up and you 53 00:03:07,720 --> 00:03:10,320 Speaker 1: were giving me advice at a coffee shop, and if 54 00:03:10,360 --> 00:03:12,920 Speaker 1: you remember all those details, yeah, I do Starbucks on 55 00:03:12,960 --> 00:03:15,799 Speaker 1: Capitol I remember that day. Yeah, yeah. And then from 56 00:03:15,880 --> 00:03:18,800 Speaker 1: there I went and did the show with with Roland Martin, 57 00:03:19,080 --> 00:03:22,120 Speaker 1: I believe Roll one American News Network, and then it 58 00:03:22,160 --> 00:03:25,640 Speaker 1: was Roland Martin. But you you just stayed consistent in 59 00:03:25,760 --> 00:03:30,080 Speaker 1: your approach. You continue to push. We talked regularly throughout 60 00:03:30,360 --> 00:03:33,079 Speaker 1: and then you became a big superstar. And I don't 61 00:03:33,080 --> 00:03:35,960 Speaker 1: know if you recall, during that Starbucks visit on Capitol Hill, 62 00:03:36,680 --> 00:03:39,080 Speaker 1: I said, and I recalled, I said, you can be 63 00:03:39,240 --> 00:03:43,280 Speaker 1: very big. You got it. You just gotta push through, Uh, 64 00:03:43,400 --> 00:03:45,960 Speaker 1: star writing, do TV media, But I think you could 65 00:03:46,000 --> 00:03:47,760 Speaker 1: be a big star. Remember me saying that to you? 66 00:03:47,960 --> 00:03:50,320 Speaker 1: I do, I do, And I didn't believe you. I 67 00:03:50,400 --> 00:04:00,400 Speaker 1: was like talking point talking point indeed, but you are 68 00:04:00,400 --> 00:04:03,520 Speaker 1: a big star. So it worked out. So I'm happy 69 00:04:03,560 --> 00:04:06,360 Speaker 1: to be here with you. So as we talk about 70 00:04:06,360 --> 00:04:10,440 Speaker 1: what's really devastating the violent crime in America cities, it's 71 00:04:10,480 --> 00:04:14,520 Speaker 1: it seemingly always an issue, but it's especially more of 72 00:04:14,520 --> 00:04:17,200 Speaker 1: an issue now in the in the wake of George Floyd, 73 00:04:17,760 --> 00:04:20,880 Speaker 1: and you see how the Democratic Party has been running 74 00:04:21,040 --> 00:04:23,960 Speaker 1: the country from the White House to these Chicago you 75 00:04:24,040 --> 00:04:28,520 Speaker 1: talk about Baltimore, going to Detroit, any of these urban centers, 76 00:04:29,120 --> 00:04:32,159 Speaker 1: for the residents there, it's hell on earth for many 77 00:04:32,200 --> 00:04:36,200 Speaker 1: of those folks. And you really made a name for yourself, 78 00:04:36,880 --> 00:04:40,560 Speaker 1: uh when it comes to Baltimore by shooting film of 79 00:04:41,480 --> 00:04:44,720 Speaker 1: the waste in the city where people were actually living, 80 00:04:44,800 --> 00:04:48,360 Speaker 1: seeing the environment. And President Trump took it upon himself 81 00:04:48,440 --> 00:04:51,720 Speaker 1: to repeat a number of your videos and it really 82 00:04:51,880 --> 00:04:55,520 Speaker 1: put you on a rocket. No. Absolutely, and I'm so 83 00:04:56,000 --> 00:04:59,039 Speaker 1: blessed that. I feel so fortunate for that happening. This 84 00:04:59,080 --> 00:05:00,800 Speaker 1: is why I tell people on of time, like, if 85 00:05:00,839 --> 00:05:02,919 Speaker 1: you have something going on in your community and you 86 00:05:02,960 --> 00:05:05,480 Speaker 1: know it's not right, and you know, government can get 87 00:05:05,560 --> 00:05:08,520 Speaker 1: involved because you're paying taxes and it's their job. Anyways, 88 00:05:08,839 --> 00:05:11,080 Speaker 1: what I did was basically take my cell phone and 89 00:05:11,160 --> 00:05:13,320 Speaker 1: made a couple of videos showing just all of the 90 00:05:13,440 --> 00:05:17,640 Speaker 1: trash in all the crumbling infrastructure, and I kept posting 91 00:05:17,640 --> 00:05:19,640 Speaker 1: it and I did it for about a week. Um, 92 00:05:19,680 --> 00:05:21,680 Speaker 1: and then that's when I got a call from a 93 00:05:21,680 --> 00:05:24,159 Speaker 1: producer at Fox News and they're like, um, can you 94 00:05:24,200 --> 00:05:26,160 Speaker 1: tell us where you are? And I was like, I'm 95 00:05:26,200 --> 00:05:28,680 Speaker 1: in Baltimore, and she thought I was in another country. 96 00:05:28,960 --> 00:05:32,480 Speaker 1: She had no idea. Yes, that's what's so crazy about it. 97 00:05:32,720 --> 00:05:34,720 Speaker 1: And she said, well, you gotta come on and explain. 98 00:05:34,920 --> 00:05:37,080 Speaker 1: And so I went on Fox and Friends that morning, 99 00:05:37,520 --> 00:05:40,160 Speaker 1: and it just so happened. President Trump was watching at 100 00:05:40,200 --> 00:05:43,000 Speaker 1: that moment, and when he retweeted the videos, he was like, look, 101 00:05:43,279 --> 00:05:45,760 Speaker 1: I know for a fact, we have sent millions of 102 00:05:45,800 --> 00:05:49,360 Speaker 1: dollars to Baltimore. Recently, you know, because right after the 103 00:05:49,360 --> 00:05:51,920 Speaker 1: the riots that we had in two thousand fifteen, after 104 00:05:51,960 --> 00:05:55,359 Speaker 1: the death of Freddy Gray, President Barack Obama and President 105 00:05:55,360 --> 00:05:58,360 Speaker 1: Trump sent a ton of money to Baltimore and into 106 00:05:58,440 --> 00:06:00,400 Speaker 1: that area where I took the video ols that I 107 00:06:00,440 --> 00:06:03,320 Speaker 1: was just showing people. Look, they haven't done anything on 108 00:06:03,360 --> 00:06:06,000 Speaker 1: the ground here, and it's been years, and so I 109 00:06:06,080 --> 00:06:08,720 Speaker 1: just felt very fortunate that the story got picked up 110 00:06:08,760 --> 00:06:11,160 Speaker 1: and people got to see what was going on. And 111 00:06:11,240 --> 00:06:14,200 Speaker 1: you've not stopped since then. You ran for Congress, but 112 00:06:14,240 --> 00:06:16,440 Speaker 1: you're still in the community, You're still in Baltimore, you're 113 00:06:16,480 --> 00:06:19,960 Speaker 1: still talking to the residents. In fact, we have some 114 00:06:20,200 --> 00:06:22,919 Speaker 1: exclusive audio that we want to play from one of 115 00:06:22,920 --> 00:06:26,000 Speaker 1: the residents that you you're you're providing for for our 116 00:06:26,000 --> 00:06:28,799 Speaker 1: show today. Yeah. Well, man, I'm scared to go out myself. 117 00:06:28,839 --> 00:06:32,039 Speaker 1: I mean, uh, you know, we got Baltimore is on 118 00:06:32,360 --> 00:06:36,080 Speaker 1: um track club having three murder in a in a 119 00:06:36,200 --> 00:06:38,800 Speaker 1: in a year for a seven year row climb is up. 120 00:06:38,920 --> 00:06:41,679 Speaker 1: I can't go to the can't go to the gas station, 121 00:06:41,720 --> 00:06:44,280 Speaker 1: gas station people being robbed at the gas station down 122 00:06:44,320 --> 00:06:46,600 Speaker 1: when they pulled their cars up to the punt. I mean, 123 00:06:46,640 --> 00:06:49,000 Speaker 1: what are we supposed to do here. Baltimore commons, it's 124 00:06:49,040 --> 00:06:50,960 Speaker 1: just out of control. Baltimo was one of the Uh, 125 00:06:51,360 --> 00:06:53,760 Speaker 1: this is one of the more worst cities for climb 126 00:06:54,080 --> 00:06:56,560 Speaker 1: in America. We're just supposed to do now, Kim, this, 127 00:06:56,560 --> 00:06:58,960 Speaker 1: this is your community. What do you think when you 128 00:06:59,040 --> 00:07:02,000 Speaker 1: hear this? It's the exact truth. And so when we 129 00:07:02,040 --> 00:07:05,440 Speaker 1: see people coming out and talking about defunding the police, 130 00:07:05,839 --> 00:07:09,240 Speaker 1: I want people to know in Baltimore City, especially West Baltimore, 131 00:07:09,640 --> 00:07:12,280 Speaker 1: absolutely no one there wants to defund the police. They 132 00:07:12,280 --> 00:07:15,840 Speaker 1: actually want more of a police presence. And as that 133 00:07:15,920 --> 00:07:19,160 Speaker 1: gentleman was saying that the whole car jacking is through 134 00:07:19,200 --> 00:07:22,520 Speaker 1: the roof right now, armed carjackings, a lot of juveniles 135 00:07:22,520 --> 00:07:24,680 Speaker 1: are doing it. A lot of juveniles are getting away 136 00:07:24,720 --> 00:07:27,240 Speaker 1: with it because they know right now our state's attorney 137 00:07:27,360 --> 00:07:31,000 Speaker 1: isn't really prosecuting juveniles. So we call it a walk 138 00:07:31,040 --> 00:07:33,440 Speaker 1: through here. You know, a police officer might arrest the 139 00:07:33,520 --> 00:07:36,280 Speaker 1: juvenile for an armed carjacking, but he's able to go 140 00:07:36,320 --> 00:07:39,680 Speaker 1: to central booking and walk right out because unfortunately, right 141 00:07:39,680 --> 00:07:42,920 Speaker 1: now they're not really prosecuting juveniles. UM. So it's a 142 00:07:43,000 --> 00:07:46,120 Speaker 1: very scary situation for those that live here. UM. And 143 00:07:46,160 --> 00:07:48,000 Speaker 1: we have a lot of senior citizens. They're the ones 144 00:07:48,040 --> 00:07:50,600 Speaker 1: that actually own their homes in these neighborhoods, and they're 145 00:07:50,600 --> 00:07:54,560 Speaker 1: afraid to go outside. Man. That's that's that's really devastating. 146 00:07:54,640 --> 00:07:58,840 Speaker 1: And and and honestly, you know, you have experienced some 147 00:07:58,920 --> 00:08:01,400 Speaker 1: of these things yourself. It's not as you're just getting audio. 148 00:08:01,480 --> 00:08:04,240 Speaker 1: You've been in these neighborhoods. You've lived in one of 149 00:08:04,240 --> 00:08:06,920 Speaker 1: these neighborhoods before where they were shooting on the block. 150 00:08:07,000 --> 00:08:10,120 Speaker 1: You live knowing, right, correct? Even I guess it was 151 00:08:10,160 --> 00:08:12,840 Speaker 1: maybe two weeks ago. We were at an event one 152 00:08:12,840 --> 00:08:15,840 Speaker 1: of my managers here at Renaissance. They were hosting a 153 00:08:15,880 --> 00:08:18,840 Speaker 1: town hall. We wanted to actually get people together in 154 00:08:18,880 --> 00:08:22,320 Speaker 1: a room at a church, Simmons Morel Baptist Church, and 155 00:08:22,400 --> 00:08:25,800 Speaker 1: just asked them what were their immediate needs right, what 156 00:08:25,840 --> 00:08:28,760 Speaker 1: can we do right this second to cure some of 157 00:08:28,800 --> 00:08:31,800 Speaker 1: the problems. And so we're all sitting there, we talk, 158 00:08:31,880 --> 00:08:34,560 Speaker 1: we're there for about an hour, we go outside, and 159 00:08:34,640 --> 00:08:37,560 Speaker 1: of course, further down the street we hear gunshots. It's 160 00:08:37,720 --> 00:08:40,920 Speaker 1: literally NonStop, right, and and so a lot of times 161 00:08:40,920 --> 00:08:42,920 Speaker 1: we talk about the homicide, but we don't talk about 162 00:08:42,960 --> 00:08:45,640 Speaker 1: the shootings. We don't talk about the attempted murders. We 163 00:08:45,640 --> 00:08:48,440 Speaker 1: don't talk about them. Shootings basically heard and even though 164 00:08:48,480 --> 00:08:51,680 Speaker 1: they don't hit anyone, but those are attempts on someone's life, 165 00:08:51,920 --> 00:08:54,360 Speaker 1: and so we don't talk about that. But that's ongoing 166 00:08:54,400 --> 00:08:57,800 Speaker 1: in these neighborhoods. That's that's terrible. So anything gonna happen 167 00:08:57,840 --> 00:09:01,160 Speaker 1: with the state's attorney there. So our states Attorney Maryland Mosby, 168 00:09:01,320 --> 00:09:06,360 Speaker 1: she's a self proclaimed progressive, so she's not actually prosecuting 169 00:09:06,400 --> 00:09:09,680 Speaker 1: what she calls low level crimes right now. Um, so 170 00:09:10,280 --> 00:09:14,960 Speaker 1: she's not prosecuting those dealing drugs, prostitution. Uh, there's like 171 00:09:14,960 --> 00:09:18,000 Speaker 1: a list of things, and she calls it victimless crimes. 172 00:09:18,040 --> 00:09:23,040 Speaker 1: But we know those crimes lead to bigger crimes. Yeah, 173 00:09:23,080 --> 00:09:25,319 Speaker 1: I mean, it's it's it's unbelievable at what she does. 174 00:09:25,360 --> 00:09:28,280 Speaker 1: But we have violent repeat offenders on our streets as well. 175 00:09:28,480 --> 00:09:30,679 Speaker 1: And you take a look at what's going on in Baltimore. 176 00:09:31,000 --> 00:09:34,960 Speaker 1: We have shooters that have been caught with handguns scene, 177 00:09:35,040 --> 00:09:37,280 Speaker 1: leaving the scene of a crime, and they still just 178 00:09:37,360 --> 00:09:40,160 Speaker 1: to get to walk free. And it's unbelievable to me. 179 00:09:40,760 --> 00:09:43,719 Speaker 1: You know what's interesting to me is we talked a 180 00:09:43,760 --> 00:09:46,880 Speaker 1: lot about criminal justice reform. And when the First Step 181 00:09:46,920 --> 00:09:50,680 Speaker 1: Act came up, we had a lot of conservatives. It 182 00:09:50,760 --> 00:09:53,600 Speaker 1: was a vocal minority, I should say a vocal minority 183 00:09:53,600 --> 00:09:55,679 Speaker 1: of conservatives who were saying, listen, we can't do any 184 00:09:55,720 --> 00:09:59,920 Speaker 1: criminal justice reform because then you're gonna allow those criminal 185 00:10:00,720 --> 00:10:04,920 Speaker 1: back onto the street, lighter sentences. Crime will will get worse, 186 00:10:04,920 --> 00:10:07,280 Speaker 1: it will become worse. When we heard that, a lot 187 00:10:07,320 --> 00:10:09,920 Speaker 1: of us we pushed back on that. But we are 188 00:10:09,920 --> 00:10:14,400 Speaker 1: seeing crime become worse. But can anyone articulate that that's 189 00:10:14,559 --> 00:10:18,160 Speaker 1: because of the criminal justice reform? I e. People may 190 00:10:18,240 --> 00:10:21,319 Speaker 1: think that the laws have been weakened. Therefore the criminals 191 00:10:21,360 --> 00:10:24,600 Speaker 1: have become really bullish on committing to crimes in in 192 00:10:24,720 --> 00:10:26,400 Speaker 1: the area. Do you do you think that might have 193 00:10:26,440 --> 00:10:29,320 Speaker 1: anything to do with it? No? No, And I think 194 00:10:29,320 --> 00:10:31,720 Speaker 1: we're both we both know Doron Smith right, that was 195 00:10:34,320 --> 00:10:36,160 Speaker 1: right right, and he was the one that authored a 196 00:10:36,160 --> 00:10:39,160 Speaker 1: lot of that. For me, the proof is in the pudding, right. 197 00:10:39,320 --> 00:10:41,640 Speaker 1: Most of these crimes and most of the riseing crime 198 00:10:42,160 --> 00:10:44,840 Speaker 1: is happening in cities where you have progressive mayors and 199 00:10:44,920 --> 00:10:50,000 Speaker 1: progressive prosecutors. So it was really criminal justice reform because 200 00:10:50,040 --> 00:10:52,679 Speaker 1: that was something that happened on a federal level. We 201 00:10:52,679 --> 00:10:55,480 Speaker 1: would see it in all areas, right, but we only 202 00:10:55,559 --> 00:10:59,000 Speaker 1: see it in these particular areas that progressives are in charge. 203 00:10:59,000 --> 00:11:02,480 Speaker 1: So I think it's fact that they're soft on criminals altogether. 204 00:11:02,880 --> 00:11:05,959 Speaker 1: I still believe that people should have second chances, especially 205 00:11:06,000 --> 00:11:08,560 Speaker 1: if it is what we call those victimus crimes. We 206 00:11:08,600 --> 00:11:10,120 Speaker 1: have a lot of people that come out of prison 207 00:11:10,160 --> 00:11:12,400 Speaker 1: that want to do the right thing, and I believe 208 00:11:12,440 --> 00:11:14,760 Speaker 1: that they should have the chance to do so well. 209 00:11:14,800 --> 00:11:17,400 Speaker 1: I think with that Criminal Justice Reform, the biggest piece 210 00:11:17,440 --> 00:11:20,680 Speaker 1: of it was the First Step Act allowing individuals as 211 00:11:20,679 --> 00:11:23,199 Speaker 1: they're coming out of prison a chance to get caught 212 00:11:23,280 --> 00:11:25,920 Speaker 1: up on what we got in the tech boom and 213 00:11:25,920 --> 00:11:28,319 Speaker 1: you know, getting some skills understanding how to put their 214 00:11:28,320 --> 00:11:32,199 Speaker 1: resumes together. And so we're not releasing criminals not able 215 00:11:32,240 --> 00:11:33,959 Speaker 1: to then go and get a job, because the last 216 00:11:34,000 --> 00:11:35,960 Speaker 1: thing we wanted for them to end up back in prison. 217 00:11:36,240 --> 00:11:38,880 Speaker 1: So I thought Criminal Justice Reform First Step Act. I 218 00:11:38,880 --> 00:11:41,079 Speaker 1: thought they were both great, at which President Trump got 219 00:11:41,120 --> 00:11:43,920 Speaker 1: more credit for him than he did. He was he 220 00:11:44,040 --> 00:11:47,920 Speaker 1: was the reason he was because the folks that the 221 00:11:48,040 --> 00:11:53,320 Speaker 1: very again vocal minority on the right, because Democrats played 222 00:11:53,360 --> 00:11:55,520 Speaker 1: a game with it too, So Democrats were all for it. 223 00:11:55,600 --> 00:11:58,560 Speaker 1: When Republicans got on board, they were against it. Is 224 00:11:58,559 --> 00:12:00,559 Speaker 1: that all we can't do it. They didn't want Republicans 225 00:12:00,559 --> 00:12:02,400 Speaker 1: to get any credit. And then we had a vocal 226 00:12:02,480 --> 00:12:05,600 Speaker 1: minority on the right, people like Senator Tom Cotton, people 227 00:12:05,640 --> 00:12:09,280 Speaker 1: like the Senator Ted Cruz, who were saying, yeah, we 228 00:12:09,320 --> 00:12:12,560 Speaker 1: don't think we should be getting involved in that. In 229 00:12:12,600 --> 00:12:16,480 Speaker 1: Senator Mike Lee, a former federal prosecutor. Uh, he was 230 00:12:16,640 --> 00:12:19,400 Speaker 1: a very big advocate for it, and he laid out 231 00:12:19,440 --> 00:12:23,320 Speaker 1: some brilliant points to counter all the nonsense from Senator 232 00:12:23,400 --> 00:12:27,760 Speaker 1: Ted Cruz. So that that was that was great. However, 233 00:12:28,120 --> 00:12:30,920 Speaker 1: President Trump was the reason. If it wasn't for him 234 00:12:31,000 --> 00:12:34,480 Speaker 1: pushing it, Mitch McConnell and others as hard as he did, 235 00:12:34,960 --> 00:12:38,440 Speaker 1: it would not have happened. So he does deserve a 236 00:12:38,440 --> 00:12:40,880 Speaker 1: lot of credit. And I still stand by my statement 237 00:12:40,880 --> 00:12:43,720 Speaker 1: which I've made in the past. President Trump has been 238 00:12:44,320 --> 00:12:51,840 Speaker 1: the most productive advocate for policy that impacts black folks 239 00:12:51,960 --> 00:12:55,960 Speaker 1: most We've never seen the president like that on so 240 00:12:56,160 --> 00:13:00,560 Speaker 1: many issues and one term, especially being your term, no 241 00:13:00,679 --> 00:13:05,440 Speaker 1: Democrat or Republicans, So he does deserve that credit, which 242 00:13:05,440 --> 00:13:08,640 Speaker 1: we know Democrats will not give him, not at all. 243 00:13:08,880 --> 00:13:11,640 Speaker 1: And we saw it on the heels of our first 244 00:13:11,679 --> 00:13:15,160 Speaker 1: black president, President Barack Obama, and I think that's also 245 00:13:15,240 --> 00:13:17,640 Speaker 1: what woke a lot of people up in the black community. 246 00:13:17,640 --> 00:13:19,160 Speaker 1: It was like, wow, you know, we had a black 247 00:13:19,200 --> 00:13:21,120 Speaker 1: president and and these are the things that he should 248 00:13:21,120 --> 00:13:23,320 Speaker 1: have been pushing, but it took President Trump to come 249 00:13:23,360 --> 00:13:27,200 Speaker 1: along to get it done. So yes, I thank President 250 00:13:27,200 --> 00:13:30,240 Speaker 1: Trump for doing that, but I really am just so 251 00:13:30,400 --> 00:13:34,720 Speaker 1: disheartened by the progressives that really feel the need to 252 00:13:34,760 --> 00:13:38,719 Speaker 1: basically turn everything around and be soft on criminals when 253 00:13:38,720 --> 00:13:43,480 Speaker 1: they're praying on the individuals living in these dangerous neighborhoods. Indeed, 254 00:13:44,160 --> 00:13:46,760 Speaker 1: so we talked about Baltimore, but you know, I gotta 255 00:13:46,800 --> 00:13:49,680 Speaker 1: ask you as far as Chicago, Um, I know that 256 00:13:49,760 --> 00:13:53,199 Speaker 1: your homicides are up fifty and shootings are up sixty 257 00:13:53,280 --> 00:13:56,439 Speaker 1: three compared to what you had going on in two 258 00:13:56,480 --> 00:14:00,280 Speaker 1: thousand nineteen. Its routine for several dozen people to be 259 00:14:00,360 --> 00:14:03,760 Speaker 1: shot over any given weekend, and we watched that play out. 260 00:14:03,840 --> 00:14:05,720 Speaker 1: And I know, I see on Twitter all the time 261 00:14:06,240 --> 00:14:08,680 Speaker 1: just that the amount of numbers coming out of Chicago 262 00:14:08,720 --> 00:14:11,120 Speaker 1: as far as shootings, I just gotta ask, what are 263 00:14:11,120 --> 00:14:15,200 Speaker 1: people in Chicago saying about the spike in violets. You 264 00:14:15,240 --> 00:14:18,320 Speaker 1: know what, can I gotta tell you, Chicago is my home, 265 00:14:18,360 --> 00:14:20,800 Speaker 1: has been my home forever in a day. I will 266 00:14:20,840 --> 00:14:23,280 Speaker 1: always rep Chicago as hard as I can. I grew 267 00:14:23,400 --> 00:14:26,000 Speaker 1: up on the South Side of Chicago, se hard, seventy 268 00:14:26,040 --> 00:14:29,080 Speaker 1: second in Dorchester, A hundred and nineteenth in Michigan, all 269 00:14:29,120 --> 00:14:32,440 Speaker 1: over the South Side of Chicago. Love the city to 270 00:14:32,520 --> 00:14:37,160 Speaker 1: this day, but I am horrified. I am horrified by 271 00:14:37,200 --> 00:14:39,800 Speaker 1: what I see there on a day to day basis, 272 00:14:40,080 --> 00:14:43,560 Speaker 1: and I'm actually piste the hell off. I'm pissed the 273 00:14:43,600 --> 00:14:47,600 Speaker 1: hell off for a number of reasons in general, but 274 00:14:47,800 --> 00:14:51,040 Speaker 1: I'm piste the hell off, but specifically around something that 275 00:14:51,120 --> 00:14:55,000 Speaker 1: just happened recently in my family's life. Last weekend, I 276 00:14:55,080 --> 00:14:56,840 Speaker 1: was in Italy. I got a call from my little 277 00:14:56,840 --> 00:15:01,080 Speaker 1: sister on a Saturday, Apparently that Friday night, she was 278 00:15:01,120 --> 00:15:05,200 Speaker 1: walking with her infant child from the grocery store, infant 279 00:15:05,360 --> 00:15:11,440 Speaker 1: child and two people approached her, no interactions with him beforehand, 280 00:15:12,720 --> 00:15:15,840 Speaker 1: and they approached her, a man and a woman, both adults, 281 00:15:16,560 --> 00:15:19,000 Speaker 1: and they beat the hell out of her, pushed it 282 00:15:19,080 --> 00:15:21,160 Speaker 1: to the ground, kicked her in her face, kicked in 283 00:15:21,160 --> 00:15:24,320 Speaker 1: her stomach, her body, while her child was there, her 284 00:15:24,400 --> 00:15:27,000 Speaker 1: infant child, he's only like what three or four months old, 285 00:15:27,720 --> 00:15:30,000 Speaker 1: And then they pulled a gun out on her and 286 00:15:30,000 --> 00:15:34,600 Speaker 1: they said, we will kill you and your child. She 287 00:15:35,360 --> 00:15:38,560 Speaker 1: thankfully lived, but so many people in that same situation, 288 00:15:38,680 --> 00:15:40,680 Speaker 1: only by God's grace, but so many people in that 289 00:15:40,720 --> 00:15:44,400 Speaker 1: same situation would have been killed, no question about it, 290 00:15:45,040 --> 00:15:48,400 Speaker 1: and and and never probably would have received justice for it. 291 00:15:48,720 --> 00:15:51,800 Speaker 1: That Chicago Sometimes just came out with an analysis showing 292 00:15:51,880 --> 00:15:57,600 Speaker 1: that since ten since twenty sixteen, over a thousand shooting 293 00:15:57,720 --> 00:16:01,440 Speaker 1: victims a hundred and six that died, there were only 294 00:16:01,920 --> 00:16:05,920 Speaker 1: two convictions, two out of over a thousand. I think 295 00:16:05,920 --> 00:16:08,600 Speaker 1: that number was a thousand thirty three I think was 296 00:16:08,600 --> 00:16:12,400 Speaker 1: the actual number for the analysis. But since this is 297 00:16:12,400 --> 00:16:17,120 Speaker 1: the justice, that they're getting, no justice at all, and meanwhile, 298 00:16:17,360 --> 00:16:20,880 Speaker 1: it I think hardens the criminal. If I'm not gonna 299 00:16:20,920 --> 00:16:23,040 Speaker 1: get convicted for it, if I'm not gonna face any 300 00:16:23,080 --> 00:16:26,160 Speaker 1: any real charges for why wouldn't I Why wouldn't I 301 00:16:26,240 --> 00:16:28,160 Speaker 1: walk down the street with an a K forty seven? 302 00:16:28,160 --> 00:16:31,120 Speaker 1: Why wouldn't I go and attack somebody just randomly, which 303 00:16:31,160 --> 00:16:33,080 Speaker 1: is something that used to actually do when I was. 304 00:16:33,400 --> 00:16:35,240 Speaker 1: I was growing up. At times you'll see kids that 305 00:16:35,280 --> 00:16:37,360 Speaker 1: would jump on you at the bus, but you weren't 306 00:16:37,360 --> 00:16:40,880 Speaker 1: losing your life per se. They may beat the beat 307 00:16:40,920 --> 00:16:43,000 Speaker 1: you up, or they may try to rob you or something. 308 00:16:43,000 --> 00:16:46,920 Speaker 1: But this is a whole different beast, and it's a 309 00:16:47,000 --> 00:16:51,000 Speaker 1: satanic one it at that. So yeah, I'm really upset 310 00:16:51,080 --> 00:16:53,360 Speaker 1: by how the direction of my city. I think the 311 00:16:54,080 --> 00:16:57,360 Speaker 1: County prosecutor she is a big part of the problem. 312 00:16:57,840 --> 00:16:59,480 Speaker 1: She's a big part of the problem. That's why so 313 00:16:59,560 --> 00:17:01,560 Speaker 1: much bloo hut in the streets of Chicago because she's 314 00:17:01,600 --> 00:17:05,679 Speaker 1: letting the criminals off. Twenty five thousand felony cases dropped, 315 00:17:05,680 --> 00:17:10,520 Speaker 1: including murders under her leadership. This is not an American 316 00:17:10,520 --> 00:17:14,120 Speaker 1: city anymore, as a third world country with some good 317 00:17:14,119 --> 00:17:16,440 Speaker 1: people living in it. And it's it's just really insane, 318 00:17:16,480 --> 00:17:18,960 Speaker 1: and it's shameful where we are at it's time in 319 00:17:18,960 --> 00:17:21,600 Speaker 1: our country. And it's even more shameful that people like 320 00:17:21,640 --> 00:17:24,439 Speaker 1: the Biden administration who said that they were gonna be 321 00:17:24,560 --> 00:17:28,160 Speaker 1: advocates for for those who feel like they've been left 322 00:17:28,160 --> 00:17:30,600 Speaker 1: out of the American dream, they're not advocates for the 323 00:17:30,640 --> 00:17:33,480 Speaker 1: people in Baltimore. They're not advocates for the people in Chicago. 324 00:17:33,680 --> 00:17:36,879 Speaker 1: Joe Joe Biden is an advocate for any of those people. 325 00:17:37,640 --> 00:17:39,600 Speaker 1: He may be an advocate for those who are coming 326 00:17:39,600 --> 00:17:42,640 Speaker 1: in over our southern boarder, the migrants that are coming 327 00:17:42,640 --> 00:17:45,199 Speaker 1: over here bringing thousands of cases of COVID, he may 328 00:17:45,240 --> 00:17:48,000 Speaker 1: be an advocate for them. In fact, he's probably their president, 329 00:17:48,240 --> 00:17:50,480 Speaker 1: because that seems to be the only folks that he 330 00:17:50,520 --> 00:17:54,440 Speaker 1: cares about. When you have American citizens who are suffering 331 00:17:54,720 --> 00:17:56,960 Speaker 1: on a day to day basis in places like Chicago 332 00:17:56,960 --> 00:18:01,679 Speaker 1: and Baltimore, it's ridiculous. It's upsetting, and I cannot stand 333 00:18:01,720 --> 00:18:05,840 Speaker 1: this ish anymore. I'm very disappointed. I am so sorry 334 00:18:05,880 --> 00:18:09,160 Speaker 1: that your cousin, I mean your family and my little sister, 335 00:18:09,280 --> 00:18:12,600 Speaker 1: my my blood little sister. Oh my gosh, I'm so sorry. 336 00:18:12,800 --> 00:18:15,680 Speaker 1: I'm so sorry. I'm glad that she's okay. I guess 337 00:18:15,760 --> 00:18:18,800 Speaker 1: the prosecutor there is, is that Kim Fox? Yeah, that's 338 00:18:18,840 --> 00:18:23,840 Speaker 1: Kim Fox's county. Yes. So what are Chicago's liberal political 339 00:18:23,960 --> 00:18:26,800 Speaker 1: leaders and people like Kim Fox, the prosecutors, what are 340 00:18:26,800 --> 00:18:31,000 Speaker 1: they doing to reverse this trend? I mean, we've they've 341 00:18:31,040 --> 00:18:33,639 Speaker 1: been trying to reverse the trend. And look, let me 342 00:18:33,920 --> 00:18:36,480 Speaker 1: not saying that they've not necessarily been trying to reverse 343 00:18:36,520 --> 00:18:39,880 Speaker 1: the trend. They've been saying they're trying to reverse the trend. However, 344 00:18:40,359 --> 00:18:43,720 Speaker 1: as I mentioned, if you're gonna drop twenty five thousand 345 00:18:43,800 --> 00:18:48,359 Speaker 1: felony cases, including murder, then that tells me uh and 346 00:18:48,520 --> 00:18:51,840 Speaker 1: her predecessor closed way more cases and had more convictions 347 00:18:51,840 --> 00:18:55,080 Speaker 1: than than Kim Fox. That tells me you're not a 348 00:18:55,080 --> 00:18:58,200 Speaker 1: part of the selution, You're part of the problem. So 349 00:18:58,520 --> 00:19:01,240 Speaker 1: how we reverse the trend? New leadership? Get rid of 350 00:19:01,320 --> 00:19:05,080 Speaker 1: the county prosecutor, bringing somebody who's gonna be tough on crime. 351 00:19:05,480 --> 00:19:08,320 Speaker 1: That can be a Republican or even a Democrat. You 352 00:19:08,359 --> 00:19:11,600 Speaker 1: can have sensible policies that that can be supportive of 353 00:19:11,640 --> 00:19:14,440 Speaker 1: those who want to have second chances, that were willing 354 00:19:14,440 --> 00:19:16,600 Speaker 1: to put in the work, but punish the criminals and 355 00:19:16,760 --> 00:19:20,080 Speaker 1: especially those repeat offenders. You can. You can do all 356 00:19:20,119 --> 00:19:24,040 Speaker 1: of that as a county prosecutor. Ours just isn't And 357 00:19:24,080 --> 00:19:29,080 Speaker 1: the mayor is another person the blame game that she's doing. Oh, 358 00:19:29,760 --> 00:19:33,040 Speaker 1: violence is so bad in Chicago because of racism and 359 00:19:33,119 --> 00:19:36,600 Speaker 1: sexism and people, you know, it's just ridiculous, Like, I 360 00:19:36,640 --> 00:19:38,440 Speaker 1: don't know if these people are ready to start working 361 00:19:38,440 --> 00:19:41,320 Speaker 1: at MSNBC or what these talking points are really for. 362 00:19:41,840 --> 00:19:44,560 Speaker 1: But it makes no sense, it's not based in fact. 363 00:19:44,640 --> 00:19:47,199 Speaker 1: And I think a lot of Chicagoans, a lot of 364 00:19:47,280 --> 00:19:50,959 Speaker 1: Chicagoans are upset with the leadership of these folks and 365 00:19:51,000 --> 00:19:54,000 Speaker 1: I can only hope, I can only hope that they're 366 00:19:54,000 --> 00:19:56,680 Speaker 1: gonna do the right thing when it comes to election time. Yeah, 367 00:19:56,720 --> 00:19:58,800 Speaker 1: I mean, I hope so too. In Baltimore, just to 368 00:19:59,200 --> 00:20:03,119 Speaker 1: give every to feel for this, in Baltimore City, of 369 00:20:03,160 --> 00:20:06,880 Speaker 1: the homicides are ever solved in Baltimore County, the neighboring 370 00:20:06,920 --> 00:20:11,840 Speaker 1: county where we have a moderate Democratic attorney, of those 371 00:20:11,880 --> 00:20:14,640 Speaker 1: homicides get solved, and so you have to look at 372 00:20:14,640 --> 00:20:18,240 Speaker 1: it and say, it is definitely leader. Them get solved 373 00:20:18,400 --> 00:20:23,359 Speaker 1: in Baltimore County, only gets solved in Baltimore City. And 374 00:20:23,440 --> 00:20:26,840 Speaker 1: that's like I said, they're neighboring county. So it's crazy 375 00:20:26,960 --> 00:20:30,159 Speaker 1: and it's definitely comes on to leadership. What do you 376 00:20:30,200 --> 00:20:33,199 Speaker 1: think is causing the surgeon crime in Chicago? Do you 377 00:20:33,240 --> 00:20:36,199 Speaker 1: think that's part of the defund the police movement? You know, 378 00:20:36,280 --> 00:20:39,119 Speaker 1: it's interesting when it comes to the defund the police movement, 379 00:20:39,160 --> 00:20:42,359 Speaker 1: I think if we're just purely looking at the numbers. 380 00:20:42,400 --> 00:20:46,120 Speaker 1: Just overall in the country, sixty three of the sixty 381 00:20:46,200 --> 00:20:50,600 Speaker 1: six largest police jurisdiction saw increases in crime, and at 382 00:20:50,680 --> 00:20:54,200 Speaker 1: least one category. If you saw the Fox News polling, 383 00:20:54,640 --> 00:20:57,159 Speaker 1: it showed eventy seven percent I believe it was, but 384 00:20:57,200 --> 00:21:00,000 Speaker 1: it was in the seventies seventy percentile. Believe that there 385 00:21:00,119 --> 00:21:03,280 Speaker 1: is much more crime than that was last year and 386 00:21:03,400 --> 00:21:07,600 Speaker 1: probably has been in many, many years decades. I mean, 387 00:21:08,160 --> 00:21:10,400 Speaker 1: the last time we saw a crime like this, I think, 388 00:21:10,440 --> 00:21:13,480 Speaker 1: really and truly was during the crack epidemic. I think 389 00:21:13,520 --> 00:21:17,000 Speaker 1: in the eighties the nineties, especially in Chicago inner cities. 390 00:21:17,000 --> 00:21:21,560 Speaker 1: We saw how badly those cities were beaten up by 391 00:21:21,720 --> 00:21:24,440 Speaker 1: the drug dealers and the gangs that were controlling the 392 00:21:24,760 --> 00:21:28,879 Speaker 1: market of drugs. We saw how how those things impacted 393 00:21:28,920 --> 00:21:31,440 Speaker 1: cities like Los Angeles. We saw it in New York, 394 00:21:31,640 --> 00:21:33,440 Speaker 1: we saw it in Baltimore, we saw it in Chicago. 395 00:21:33,880 --> 00:21:37,679 Speaker 1: But things did change and get better at a point. 396 00:21:38,280 --> 00:21:40,840 Speaker 1: But now it seems as though we're back on that trend, 397 00:21:40,880 --> 00:21:46,240 Speaker 1: which is completely unfortunate. But Democrats have themselves to blame. Honestly, 398 00:21:46,760 --> 00:21:49,520 Speaker 1: George Floyd Dyan was not a mission slip to say 399 00:21:49,520 --> 00:21:52,960 Speaker 1: we're gonna defund the police, or we're gonna create an 400 00:21:53,040 --> 00:21:55,760 Speaker 1: environment where criminals can kind of do their thing and 401 00:21:55,760 --> 00:21:59,800 Speaker 1: and decriminalized crime, if you will, that's the term, right, 402 00:22:00,040 --> 00:22:04,680 Speaker 1: criminalized crime. That's where we are now. Democrats across the 403 00:22:04,760 --> 00:22:08,640 Speaker 1: country have decriminalized crime. Therefore, you see places like San 404 00:22:08,640 --> 00:22:13,520 Speaker 1: Francisco where they go into Walgreens with garbage bags steal 405 00:22:13,560 --> 00:22:16,080 Speaker 1: everything off the chef while people watch, because they have 406 00:22:16,240 --> 00:22:18,920 Speaker 1: laws in place which says you can't you can't even call. 407 00:22:19,080 --> 00:22:20,720 Speaker 1: But I don't know if it's you can't call the police, 408 00:22:20,720 --> 00:22:22,920 Speaker 1: but you definitely can't get involved while they're still in 409 00:22:23,240 --> 00:22:26,560 Speaker 1: you gotta let them go. It's this insanity on every 410 00:22:26,680 --> 00:22:30,200 Speaker 1: level and not worthy to be in any American city. 411 00:22:30,280 --> 00:22:32,399 Speaker 1: So when I think about polaces like Chicago to defund 412 00:22:32,760 --> 00:22:38,520 Speaker 1: policeman movement, it's the mentality that even elevates criminals, the 413 00:22:38,560 --> 00:22:42,560 Speaker 1: fact that they know that the police um either won't 414 00:22:42,640 --> 00:22:45,760 Speaker 1: come or if they call, they're called, they won't be 415 00:22:45,920 --> 00:22:48,920 Speaker 1: They won't even engage the criminal. In some cases, there's 416 00:22:49,080 --> 00:22:51,320 Speaker 1: a law on the books in Chicago, a recent one 417 00:22:51,600 --> 00:22:53,879 Speaker 1: which was a part of their police reform, where they 418 00:22:53,920 --> 00:22:57,080 Speaker 1: can't even they can't even chase criminals now, and criminals 419 00:22:57,119 --> 00:23:01,240 Speaker 1: can make anonymous complaints about police officers and they can 420 00:23:01,280 --> 00:23:03,639 Speaker 1: lose everything with no evidence at all, no facts. They 421 00:23:03,640 --> 00:23:07,400 Speaker 1: can make anonymous complaints to you know, police brutality, et cetera, 422 00:23:08,040 --> 00:23:11,200 Speaker 1: and they'll lose their jobs with no uh, with with 423 00:23:11,240 --> 00:23:14,200 Speaker 1: no evidence. And that's where we are in this country. 424 00:23:14,240 --> 00:23:17,520 Speaker 1: And it's a terrible time. So it really is, and 425 00:23:17,880 --> 00:23:20,359 Speaker 1: that's what we have going on here also in Baltimore. 426 00:23:21,080 --> 00:23:25,240 Speaker 1: Absolutely absolutely that we need to get to a commercial break, 427 00:23:25,520 --> 00:23:29,200 Speaker 1: But I hope you all enjoying the conversation. I'm certainly 428 00:23:29,400 --> 00:23:32,880 Speaker 1: glad to have Kim co host this with me, and 429 00:23:33,000 --> 00:23:35,280 Speaker 1: I'm really glad that we're able to really talk about 430 00:23:35,320 --> 00:23:38,040 Speaker 1: these issues and not that she has this this pack 431 00:23:38,400 --> 00:23:43,000 Speaker 1: red renaissance. Kim is endorsing and putting candidates in place 432 00:23:43,520 --> 00:23:47,359 Speaker 1: who will fund the police, who will be supportive of 433 00:23:47,680 --> 00:23:52,040 Speaker 1: criminal justice reform and second chances, but also understand that 434 00:23:52,080 --> 00:23:55,359 Speaker 1: those who are repeat offenders, you're losing your second chances 435 00:23:55,400 --> 00:23:57,240 Speaker 1: the more you do this, so you're gonna have to 436 00:23:57,240 --> 00:24:00,640 Speaker 1: be tough and face the full penalty of whatever you did. 437 00:24:00,720 --> 00:24:04,639 Speaker 1: So I appreciate the conversation. We need the policy here 438 00:24:04,680 --> 00:24:06,560 Speaker 1: for a quick break, but when we come back, Kim 439 00:24:06,600 --> 00:24:10,000 Speaker 1: and I will dig into the problems with education in Baltimore, 440 00:24:10,040 --> 00:24:14,640 Speaker 1: in Chicago, back in the moment. So it's no secret 441 00:24:14,720 --> 00:24:18,919 Speaker 1: that inner cities have notoriously bad education systems with failing 442 00:24:18,960 --> 00:24:22,480 Speaker 1: public schools. You can look no further than Baltimore to 443 00:24:22,560 --> 00:24:26,119 Speaker 1: see just how devastating an impact these schools have on 444 00:24:26,200 --> 00:24:28,520 Speaker 1: the community. So what I did is I went and 445 00:24:28,560 --> 00:24:31,879 Speaker 1: I got some exclusive audio to talk to someone in 446 00:24:31,960 --> 00:24:37,879 Speaker 1: Baltimore City basically dealing with the poor education system tasical. Listen, 447 00:24:38,280 --> 00:24:40,960 Speaker 1: I feel like there's no hope for our kids. I mean, 448 00:24:41,000 --> 00:24:43,840 Speaker 1: I have a family, I have nephews that's in high 449 00:24:43,840 --> 00:24:49,040 Speaker 1: school right now, and a Baltimore public high school students 450 00:24:49,400 --> 00:24:55,240 Speaker 1: earn a below one point g p A. How is that? 451 00:24:55,359 --> 00:24:58,200 Speaker 1: How is that helping our kids? How can our kids 452 00:24:58,240 --> 00:25:02,440 Speaker 1: go forward? And there's no hope, there's no hope for 453 00:25:02,520 --> 00:25:05,399 Speaker 1: our kids, and we need to do something. That is 454 00:25:05,440 --> 00:25:09,320 Speaker 1: just so depressing to hear from a resident of Baltimore. 455 00:25:10,280 --> 00:25:12,680 Speaker 1: I mean, what do you think when you hear such hopelessness? 456 00:25:13,680 --> 00:25:17,080 Speaker 1: You know, it's it's I think it's been a reality 457 00:25:17,760 --> 00:25:22,760 Speaker 1: for people in the black community for decades. I think 458 00:25:22,800 --> 00:25:25,640 Speaker 1: that's one of the reasons why there's been so many 459 00:25:25,640 --> 00:25:29,320 Speaker 1: people who champion charter schools. There's a charter school in Chicago. 460 00:25:29,880 --> 00:25:34,000 Speaker 1: It's called Urban Prep, and it Urban Prep. This is 461 00:25:34,119 --> 00:25:36,800 Speaker 1: mostly black, but they have like Latino students too, and 462 00:25:36,840 --> 00:25:39,520 Speaker 1: that I know they had some white students that came 463 00:25:39,560 --> 00:25:41,280 Speaker 1: in at a particular time. But I went to the 464 00:25:41,280 --> 00:25:44,480 Speaker 1: school to check it out for myself. Because their biggest 465 00:25:44,600 --> 00:25:48,399 Speaker 1: thing or play is and what they're celebrated for is 466 00:25:48,440 --> 00:25:52,240 Speaker 1: they get a hundred graduation. They have a hundred percent 467 00:25:52,320 --> 00:25:55,720 Speaker 1: graduation rate. So those who come into the school, they 468 00:25:55,760 --> 00:26:00,280 Speaker 1: stick with them. They do tutor sessions, they give individual learning, 469 00:26:01,000 --> 00:26:05,040 Speaker 1: and they ensure that these students graduate. Now, these aren't 470 00:26:05,040 --> 00:26:07,080 Speaker 1: folks that they're just passing along. Because you hear that, 471 00:26:07,119 --> 00:26:09,560 Speaker 1: you're like, oh, so they must be just saying, okay, 472 00:26:09,880 --> 00:26:12,240 Speaker 1: participation trophy, you get to go to you get to 473 00:26:12,280 --> 00:26:14,639 Speaker 1: graduated high school and get your diploma. Now they're really 474 00:26:15,160 --> 00:26:18,240 Speaker 1: really working with the students to ensure their individual success. 475 00:26:18,320 --> 00:26:23,160 Speaker 1: And I think charter schools are supreme model for good 476 00:26:23,280 --> 00:26:26,520 Speaker 1: education and individual learning. Was because some of these charter 477 00:26:26,560 --> 00:26:29,880 Speaker 1: schools end up being trade schools and we've got some 478 00:26:30,000 --> 00:26:34,480 Speaker 1: brilliant young people across the country, of course, but there's 479 00:26:34,640 --> 00:26:38,520 Speaker 1: so much I think smarts in the hood, if you will. 480 00:26:38,560 --> 00:26:41,320 Speaker 1: I think there's a lot of kids who may not 481 00:26:41,440 --> 00:26:44,399 Speaker 1: be proficient, but they're very smart people and could be so. 482 00:26:44,440 --> 00:26:49,679 Speaker 1: In Chicago, UH, Chicago public schools of elementary schools tested 483 00:26:49,840 --> 00:26:54,480 Speaker 1: at or above the proficiency level for reading and tested 484 00:26:54,880 --> 00:26:59,320 Speaker 1: or above that level from math. Also, middle school students 485 00:26:59,320 --> 00:27:04,159 Speaker 1: tested at or above the proficiency level for reading and 486 00:27:03,280 --> 00:27:07,680 Speaker 1: tested at or above that level for math. Eighteen percent 487 00:27:07,720 --> 00:27:09,959 Speaker 1: for high school students test to add above that proficient 488 00:27:10,080 --> 00:27:14,160 Speaker 1: level for reading, test to edder above that proficient level 489 00:27:14,200 --> 00:27:18,800 Speaker 1: from math. Those are horrible numbers. I mean, I if 490 00:27:18,840 --> 00:27:22,040 Speaker 1: I was married Chicago, I would be embarrassed that I 491 00:27:22,080 --> 00:27:26,440 Speaker 1: got all these students in in my in my city 492 00:27:26,800 --> 00:27:30,760 Speaker 1: who aren't even testing well at the proficiency level. This 493 00:27:30,840 --> 00:27:35,359 Speaker 1: is an embarrassment in every way. This is exactly why 494 00:27:35,520 --> 00:27:38,600 Speaker 1: the h we gotta break the backs of these teachers 495 00:27:38,680 --> 00:27:43,680 Speaker 1: unions who are secured UH from being fired in many cases, 496 00:27:44,080 --> 00:27:46,719 Speaker 1: and they're awful teachers. We got some great teachers out 497 00:27:46,720 --> 00:27:48,480 Speaker 1: there to go out there way. They spend their own money, 498 00:27:48,480 --> 00:27:51,320 Speaker 1: they go by their own supplies, they do. They tutor 499 00:27:51,440 --> 00:27:54,480 Speaker 1: kids after school with no additional pay. We got some 500 00:27:54,600 --> 00:27:56,840 Speaker 1: who really care about young minds, but we also got 501 00:27:56,920 --> 00:27:58,879 Speaker 1: a lot who don't care, and they just want to 502 00:27:58,880 --> 00:28:03,280 Speaker 1: get a check. And this is beyond unfortunate that has 503 00:28:03,280 --> 00:28:06,719 Speaker 1: been allowed to continue. But we know why it's been 504 00:28:06,720 --> 00:28:10,920 Speaker 1: allowed to continue. Eat your unions give to democratic politicians. 505 00:28:10,960 --> 00:28:15,800 Speaker 1: Democratic politicians mostly run major urban centers, and those folks 506 00:28:15,920 --> 00:28:23,400 Speaker 1: allow for these failures to continue, thereby creating another generation 507 00:28:23,960 --> 00:28:27,160 Speaker 1: of individuals who will never live up to their fullest potential. 508 00:28:27,600 --> 00:28:31,480 Speaker 1: And that's what's really upsetting for me. Yeah, and it's upsetting. 509 00:28:31,560 --> 00:28:34,399 Speaker 1: And we have similar numbers here in Baltimore. A lot 510 00:28:34,440 --> 00:28:36,920 Speaker 1: of people don't know this, but in Baltimore City, nine 511 00:28:36,920 --> 00:28:39,640 Speaker 1: out of ten Black boys and not read at grade level. 512 00:28:40,320 --> 00:28:43,000 Speaker 1: Nine out of ten. Yeah, Sean Handy talks about it 513 00:28:43,040 --> 00:28:45,400 Speaker 1: a lot, but people don't really mention it. But not 514 00:28:45,560 --> 00:28:48,480 Speaker 1: out of ten black boys can't read at grade level. 515 00:28:48,800 --> 00:28:52,160 Speaker 1: That's an insane number. I know. That's I don't like 516 00:28:52,240 --> 00:28:55,520 Speaker 1: to I would think that that would be almost impossible. 517 00:28:56,040 --> 00:28:58,800 Speaker 1: Nine out of ten, you would think so, But you 518 00:28:58,840 --> 00:29:01,120 Speaker 1: know what's so crazy too, And I don't know how 519 00:29:01,160 --> 00:29:04,280 Speaker 1: it is in Chicago. But here in Baltimore City. You know, 520 00:29:04,360 --> 00:29:07,200 Speaker 1: most school boards, you elect your school board members. Right 521 00:29:08,000 --> 00:29:12,240 Speaker 1: in Baltimore, the mayor actually appoints the school board members. 522 00:29:12,440 --> 00:29:14,880 Speaker 1: And so of course it's our our Democrat mayor who 523 00:29:14,920 --> 00:29:18,680 Speaker 1: appoints basically their friends that continue on with the same 524 00:29:18,680 --> 00:29:21,000 Speaker 1: agenda that they want to push and help them get 525 00:29:21,000 --> 00:29:24,520 Speaker 1: the vendor contractors for their other friends. And so it's 526 00:29:24,560 --> 00:29:27,480 Speaker 1: this vicious cycle, and it's it's almost like the parents 527 00:29:27,680 --> 00:29:30,640 Speaker 1: have no way of controlling what's going on. And so 528 00:29:31,000 --> 00:29:33,160 Speaker 1: you know, when I ran for office, I ran on 529 00:29:33,240 --> 00:29:36,360 Speaker 1: school choice, and it was interesting because there were a 530 00:29:36,400 --> 00:29:40,720 Speaker 1: lot of parents that were for it, um, but you know, 531 00:29:40,760 --> 00:29:42,960 Speaker 1: I don't think they felt like it was possible. And 532 00:29:43,200 --> 00:29:45,600 Speaker 1: I could see how you could feel that way, uh, 533 00:29:45,760 --> 00:29:48,800 Speaker 1: just seeing how bad the school system has been, you know, 534 00:29:48,880 --> 00:29:53,280 Speaker 1: their entire lives. Um. But what's your personal experience with 535 00:29:53,400 --> 00:29:58,479 Speaker 1: the school system in Chicago. I mean I grew up 536 00:29:58,520 --> 00:30:02,560 Speaker 1: there and went to elementary school, high school there. Uh, 537 00:30:03,400 --> 00:30:05,400 Speaker 1: I gotta tell you, just like I said, when I 538 00:30:05,440 --> 00:30:07,000 Speaker 1: was growing up, there was some I thought there were 539 00:30:07,040 --> 00:30:09,280 Speaker 1: some teachers that they cared, but you see a lot 540 00:30:09,320 --> 00:30:11,440 Speaker 1: that just simply there for a paycheck. I remember when 541 00:30:11,480 --> 00:30:15,600 Speaker 1: I was I had to be in what third grade? Yeah, 542 00:30:15,640 --> 00:30:17,400 Speaker 1: I think I was in third grade. I was a 543 00:30:17,400 --> 00:30:21,120 Speaker 1: good low elementary school. Was that third grade or fourth? 544 00:30:21,360 --> 00:30:23,360 Speaker 1: Maybe it was fourth, I don't know, maybe it was 545 00:30:23,400 --> 00:30:26,520 Speaker 1: fourth or fifth whatever, But I never forget this day. 546 00:30:26,840 --> 00:30:30,719 Speaker 1: I was in a classroom in this particular teacher. He 547 00:30:30,760 --> 00:30:32,840 Speaker 1: didn't he he was telling me that, you know, kind 548 00:30:32,840 --> 00:30:35,680 Speaker 1: of settle down, stop talking, or whatever the case is. 549 00:30:36,440 --> 00:30:39,160 Speaker 1: And I was never the kind of kid that would 550 00:30:39,240 --> 00:30:41,240 Speaker 1: talk back to the teachers because I grew up in 551 00:30:41,280 --> 00:30:44,000 Speaker 1: the house where we were told you have to respect adults, 552 00:30:44,040 --> 00:30:46,880 Speaker 1: no matter who they are, so you know, and then 553 00:30:46,960 --> 00:30:49,160 Speaker 1: you have the respect for your teachers. Anyway, they teach 554 00:30:49,200 --> 00:30:50,840 Speaker 1: you every day and you get sent to the principal 555 00:30:50,880 --> 00:30:53,520 Speaker 1: office some kind of punishments, dispension. So I didn't want 556 00:30:53,560 --> 00:30:56,280 Speaker 1: any of that. And I think I may have been 557 00:30:56,320 --> 00:30:59,520 Speaker 1: suspended in school maybe one time in my life, maybe, 558 00:30:59,560 --> 00:31:05,480 Speaker 1: I think. But this teacher who was so offended for 559 00:31:05,520 --> 00:31:10,200 Speaker 1: whatever reason, decided to take come to me, pick me 560 00:31:10,280 --> 00:31:12,720 Speaker 1: up by my shirt. I'm a little kid, and throw 561 00:31:12,800 --> 00:31:15,800 Speaker 1: me on the desk, and I'm like, you know, I'm 562 00:31:15,840 --> 00:31:17,320 Speaker 1: a kid. I can and I'm not gonna try to 563 00:31:17,360 --> 00:31:19,400 Speaker 1: fight a teacher. This guy was in his he was 564 00:31:19,440 --> 00:31:22,080 Speaker 1: in his twenties and I was a kid. But you teend, 565 00:31:22,160 --> 00:31:24,440 Speaker 1: you tend to see those kind of things happen. And 566 00:31:24,480 --> 00:31:28,240 Speaker 1: he literally he had graduated college not that long ago 567 00:31:28,840 --> 00:31:30,960 Speaker 1: before he had started teaching, maybe like a year or 568 00:31:30,960 --> 00:31:33,640 Speaker 1: two before. And I'm like, dude, why are you even 569 00:31:33,800 --> 00:31:37,640 Speaker 1: here as a teacher like you commend violence against students 570 00:31:37,720 --> 00:31:40,240 Speaker 1: and a young a very young one at that isn't 571 00:31:40,280 --> 00:31:42,040 Speaker 1: it would be different if you're in high school and 572 00:31:42,040 --> 00:31:44,600 Speaker 1: you're a senior and one of the kids trying to 573 00:31:44,640 --> 00:31:46,440 Speaker 1: get tough with you or something like that. I can 574 00:31:46,560 --> 00:31:50,880 Speaker 1: understand it going there, but not for somebody who's like 575 00:31:50,920 --> 00:31:54,240 Speaker 1: ten years old. So those kind of things do happen, 576 00:31:54,560 --> 00:31:57,320 Speaker 1: and it is super unfortunate. But that's where we've been 577 00:31:57,400 --> 00:31:59,320 Speaker 1: for many, many years. So when you talk about the 578 00:31:59,320 --> 00:32:02,560 Speaker 1: folks in Balti More who don't believe the school choice 579 00:32:03,080 --> 00:32:07,840 Speaker 1: can happen, it's because the politicians there have have chosen 580 00:32:07,840 --> 00:32:10,720 Speaker 1: that route. So there are a lot more hopeless in 581 00:32:10,840 --> 00:32:13,840 Speaker 1: places like Baltimore in Chicago that they're going to get 582 00:32:13,840 --> 00:32:17,520 Speaker 1: a good quality education because they know the teachers unions 583 00:32:17,600 --> 00:32:21,040 Speaker 1: have everything on lock. And the bad teachers no matter 584 00:32:21,600 --> 00:32:24,400 Speaker 1: just about whatever they do, they stay in their jobs 585 00:32:24,440 --> 00:32:27,600 Speaker 1: because the union is protecting them. And that that's discouraging 586 00:32:27,640 --> 00:32:29,560 Speaker 1: for parents, I think, all across the country to know 587 00:32:29,720 --> 00:32:32,200 Speaker 1: that and to know what is being taught in these 588 00:32:32,200 --> 00:32:36,120 Speaker 1: schools these days. No, I totally agree. I can't believe 589 00:32:36,120 --> 00:32:38,360 Speaker 1: he was doing that to you at elementary level. That's 590 00:32:38,400 --> 00:32:42,480 Speaker 1: why that was well. And I wish I remember his name. 591 00:32:42,720 --> 00:32:48,160 Speaker 1: I got a lawsuit coming. I don't remember. He probably 592 00:32:48,240 --> 00:32:50,280 Speaker 1: is no longer a teacher there. He may have lasted 593 00:32:50,320 --> 00:32:53,280 Speaker 1: for a couple of years. Maybe I don't know, or yeah, 594 00:32:53,520 --> 00:32:55,880 Speaker 1: yeah I just got fired. I don't know, and maybe, 595 00:32:55,880 --> 00:32:59,480 Speaker 1: but I doubt he got fired, so he's Uh. It's 596 00:32:59,600 --> 00:33:02,720 Speaker 1: terrible times. But this happens a lot across the urban 597 00:33:02,800 --> 00:33:06,960 Speaker 1: centers and sometimes kids do take it there. But as 598 00:33:06,960 --> 00:33:09,240 Speaker 1: an adult, you should know a kid as a kid. 599 00:33:09,360 --> 00:33:11,880 Speaker 1: So leave it alone and let the let the police 600 00:33:11,880 --> 00:33:14,640 Speaker 1: deal with it is what they should be doing. Yeah, No, 601 00:33:14,840 --> 00:33:17,280 Speaker 1: for real, And I just wanted to read a quote 602 00:33:17,280 --> 00:33:21,000 Speaker 1: real quick. The late Walter Williams of George Mason University 603 00:33:21,040 --> 00:33:24,680 Speaker 1: once wrote the following in two thousands sixteen in thirteen 604 00:33:24,680 --> 00:33:27,880 Speaker 1: of Baltimore thirty nine high schools that a single student 605 00:33:27,960 --> 00:33:32,440 Speaker 1: scored proficient on the state's and mathematics exam. Citywide, only 606 00:33:32,560 --> 00:33:36,040 Speaker 1: fifteen percent of Baltimore students past the state's English test. 607 00:33:36,720 --> 00:33:40,600 Speaker 1: And here's the critical part. Money is not the problem 608 00:33:40,640 --> 00:33:46,320 Speaker 1: of the nation's one largest school system. Baltimore ranks third, 609 00:33:46,480 --> 00:33:50,479 Speaker 1: and spending per pupil, that's third, so we're right behind. 610 00:33:50,640 --> 00:33:55,400 Speaker 1: I think it goes New York City, Boston, Baltimore, and um, 611 00:33:55,440 --> 00:33:57,160 Speaker 1: you know, it's just wild to me that we get 612 00:33:57,160 --> 00:34:00,640 Speaker 1: so much money. But how can the education se be 613 00:34:00,760 --> 00:34:04,160 Speaker 1: feeling so much if it received so much funding, Like, 614 00:34:04,160 --> 00:34:06,920 Speaker 1: how does that even make any sense? Yeah, I think 615 00:34:06,920 --> 00:34:09,879 Speaker 1: I think you clearly laid it out for us, Kim 616 00:34:10,040 --> 00:34:13,520 Speaker 1: when you talked about especially you being kind of inner 617 00:34:13,560 --> 00:34:17,440 Speaker 1: circle in terms of being a political understanding the Baltimore politics. 618 00:34:17,480 --> 00:34:21,360 Speaker 1: I think a lot of Republicans don't understand Baltimore's politics. 619 00:34:21,840 --> 00:34:25,479 Speaker 1: And as part of the reason why when you ran, 620 00:34:25,640 --> 00:34:28,640 Speaker 1: people trying to write you off as like a gimmick 621 00:34:28,840 --> 00:34:31,120 Speaker 1: and oh yeah, she did a couple of videos that 622 00:34:31,200 --> 00:34:33,960 Speaker 1: Trump posted. Now she's gonna try to run for Baltimore 623 00:34:33,960 --> 00:34:36,720 Speaker 1: and nobody's gonna vote for you. But then you created 624 00:34:36,719 --> 00:34:38,759 Speaker 1: a movement right now, but I think you you you 625 00:34:38,840 --> 00:34:41,719 Speaker 1: set it up for us perfectly in terms of how 626 00:34:41,760 --> 00:34:45,840 Speaker 1: the corruption takes place. Follow the money. Follow the money 627 00:34:46,080 --> 00:34:49,920 Speaker 1: every time. Uh, these folks get into office and then 628 00:34:49,920 --> 00:34:52,359 Speaker 1: they give their friends these kickbacks, these deals, and as 629 00:34:52,400 --> 00:34:55,440 Speaker 1: you said, they do it for the vendor privileges, give 630 00:34:55,520 --> 00:34:58,879 Speaker 1: million dollar contracts, and a lot of times these are 631 00:34:58,920 --> 00:35:01,960 Speaker 1: their their donors. So yeah, where's the money. Where's the 632 00:35:02,000 --> 00:35:04,440 Speaker 1: money going in the pockets of the vendors and the 633 00:35:04,480 --> 00:35:07,239 Speaker 1: donors and the donors who donate to get these folks 634 00:35:07,239 --> 00:35:11,520 Speaker 1: in office and they get these contracts. Meanwhile, Uh, the 635 00:35:11,640 --> 00:35:15,839 Speaker 1: unions are still winning big time. Meanwhile, the mayor can 636 00:35:15,880 --> 00:35:18,279 Speaker 1: say that they care, but you don't see the substance 637 00:35:18,400 --> 00:35:21,359 Speaker 1: of them caring to change things around. In places like 638 00:35:21,800 --> 00:35:25,760 Speaker 1: Chicago and Baltimore, it's more empty promises and no action 639 00:35:26,200 --> 00:35:31,319 Speaker 1: there there lifting their duties and they fell in their residence. Yeah, no, absolutely. 640 00:35:31,400 --> 00:35:34,319 Speaker 1: I mean we get close to sixteen thousand dollars per 641 00:35:34,560 --> 00:35:37,240 Speaker 1: student in Baltimore City. That's why we're the third highest 642 00:35:37,239 --> 00:35:40,359 Speaker 1: per people spending. And we still have schools where they 643 00:35:40,400 --> 00:35:43,279 Speaker 1: don't have heat air conditioning, and they're still dealing with 644 00:35:43,400 --> 00:35:46,440 Speaker 1: lead pipes. Uh. So there's a lot of schools, especially 645 00:35:46,480 --> 00:35:48,399 Speaker 1: on the West Side, where kids can't even drink out 646 00:35:48,400 --> 00:35:51,920 Speaker 1: of the water fountains. Um. So yeah, I mean we're 647 00:35:51,960 --> 00:35:54,480 Speaker 1: getting a ton of money, but who knows where just going. 648 00:35:54,520 --> 00:35:56,719 Speaker 1: I don't know. Yeah, it wasn't it some years ago, 649 00:35:56,760 --> 00:36:00,480 Speaker 1: if I recall correctly, some years ago, there was a 650 00:36:00,640 --> 00:36:03,360 Speaker 1: study or it was like a maybe like a local 651 00:36:03,480 --> 00:36:07,000 Speaker 1: TV reporter, local news station went into a school and 652 00:36:07,080 --> 00:36:09,040 Speaker 1: it was it was like in a winner and they 653 00:36:09,040 --> 00:36:13,440 Speaker 1: didn't have he'd what was that situation? And has that 654 00:36:13,480 --> 00:36:16,560 Speaker 1: been rectified? Yeah? So that was our our last mayor 655 00:36:16,640 --> 00:36:19,160 Speaker 1: she was in office, Mayor Katherine Pugh, who's you know, 656 00:36:19,440 --> 00:36:23,000 Speaker 1: later was indicted for pay to play. Um. But in 657 00:36:23,040 --> 00:36:28,640 Speaker 1: other words, to your point, to your point, literally demonstrate 658 00:36:28,719 --> 00:36:31,120 Speaker 1: what you just said. Okay, got it right. And so 659 00:36:31,719 --> 00:36:34,759 Speaker 1: it was wild because one of the teachers in one 660 00:36:34,800 --> 00:36:37,799 Speaker 1: of the schools posted this picture that went viral of 661 00:36:37,880 --> 00:36:40,120 Speaker 1: all the students sitting there with their winter coats on, 662 00:36:40,239 --> 00:36:42,520 Speaker 1: and then she took like a picture of the thermostat 663 00:36:42,920 --> 00:36:46,040 Speaker 1: showing that it was sixteen degrees in the classroom. And 664 00:36:46,080 --> 00:36:49,120 Speaker 1: so because that went viral, and you know, social media 665 00:36:49,200 --> 00:36:51,240 Speaker 1: is good, you know, in a lot of ways. Because 666 00:36:51,280 --> 00:36:54,759 Speaker 1: that went viral. Then everybody started questioning what was going on, 667 00:36:55,239 --> 00:36:58,120 Speaker 1: and um, she said, oh it must be the school 668 00:36:58,120 --> 00:37:00,960 Speaker 1: board is is not making the right decision. So instead 669 00:37:01,000 --> 00:37:04,160 Speaker 1: of actually changing out members of the school board, she 670 00:37:04,280 --> 00:37:08,040 Speaker 1: actually added four more seats to the school board so 671 00:37:08,080 --> 00:37:14,279 Speaker 1: she could appoint four more friends. Yeah, well, I think 672 00:37:14,360 --> 00:37:16,719 Speaker 1: Rama Manue will say the best. Never let what do 673 00:37:16,760 --> 00:37:19,359 Speaker 1: you how do you say, never let chaos go to waste? 674 00:37:19,400 --> 00:37:23,600 Speaker 1: What man Never let a good a good crisis go 675 00:37:23,680 --> 00:37:29,040 Speaker 1: to waste good crisis? Clearly she said, man I see 676 00:37:29,080 --> 00:37:33,000 Speaker 1: more opportunity to make money, and so yeah, and and 677 00:37:33,000 --> 00:37:38,640 Speaker 1: and and the results where she went to jail afterwards. Yeah, 678 00:37:38,680 --> 00:37:40,160 Speaker 1: she went to jail for a little bit and then 679 00:37:40,200 --> 00:37:44,319 Speaker 1: they released her thanks to the pandemic. Oh wow, yeah, 680 00:37:46,280 --> 00:37:50,680 Speaker 1: we got out. Speaking of COVID, let's shift the latest 681 00:37:50,719 --> 00:37:58,239 Speaker 1: with the pandemic. Right after a quick break, Welcome back 682 00:37:58,280 --> 00:38:00,840 Speaker 1: to Outline with Giano called but I'm so excited to 683 00:38:00,880 --> 00:38:03,080 Speaker 1: have my dear friend co host the show with me. 684 00:38:03,360 --> 00:38:08,440 Speaker 1: The only repeat guest ever out of almost fifty episodes, 685 00:38:09,200 --> 00:38:13,840 Speaker 1: Kimberly Clasic is in the house and certainly glad to 686 00:38:13,960 --> 00:38:17,640 Speaker 1: have her give her vast knowledge on the issues that 687 00:38:17,680 --> 00:38:21,480 Speaker 1: people care about that are impacting families across the country, 688 00:38:22,120 --> 00:38:27,680 Speaker 1: and really putting the Democratic Party's failure on display. A 689 00:38:27,719 --> 00:38:31,560 Speaker 1: lot of folks, uh didn't realize how badly some of 690 00:38:31,600 --> 00:38:36,680 Speaker 1: these cities were running and performing, and you exposed it 691 00:38:36,719 --> 00:38:39,840 Speaker 1: all in a campaign that so I'm so so happy 692 00:38:39,880 --> 00:38:42,640 Speaker 1: to be here with you. And before we went to break, 693 00:38:42,719 --> 00:38:45,359 Speaker 1: before you tossed us to break, we were talking about uh. 694 00:38:45,440 --> 00:38:48,279 Speaker 1: You mentioned the mayor and who was released, the former 695 00:38:48,280 --> 00:38:51,439 Speaker 1: mayor of Baltimore who went to jail for pay to play, 696 00:38:51,480 --> 00:38:54,920 Speaker 1: and she was released early for COVID. So you know, 697 00:38:55,080 --> 00:38:59,360 Speaker 1: it's it's interesting that we're now talking about COVID in 698 00:38:59,400 --> 00:39:00,799 Speaker 1: a lot of ways. I know, there was a lot 699 00:39:00,840 --> 00:39:03,720 Speaker 1: of folks who felt like, man, most of the country 700 00:39:03,760 --> 00:39:06,440 Speaker 1: is now vaccinated, we can finally give it to the 701 00:39:06,480 --> 00:39:09,120 Speaker 1: mass and go back to our lives as we used 702 00:39:09,120 --> 00:39:12,360 Speaker 1: to live them. I was happy about it. I was excited. 703 00:39:12,400 --> 00:39:14,960 Speaker 1: I'm sure a lot of the people were. And we 704 00:39:14,960 --> 00:39:19,279 Speaker 1: were told by Joe Biden and Dr Anthony Fauci, once 705 00:39:19,320 --> 00:39:21,720 Speaker 1: you get vaccinated, you can get rid of the mask, 706 00:39:21,920 --> 00:39:24,000 Speaker 1: go back to your life, encourage your family to get 707 00:39:24,040 --> 00:39:27,719 Speaker 1: vaccinated or I remember when they said, well, if you 708 00:39:27,800 --> 00:39:30,080 Speaker 1: hit COVID before then you're gonna have this natural immunity 709 00:39:30,400 --> 00:39:33,080 Speaker 1: to you won't be able to get it again. Or 710 00:39:33,360 --> 00:39:35,920 Speaker 1: you you it's just like that's what It's just like 711 00:39:36,000 --> 00:39:40,520 Speaker 1: being vaccinated. And then everything turned. It's like the messaging 712 00:39:40,680 --> 00:39:43,960 Speaker 1: at the c d C, the White House, local government 713 00:39:44,000 --> 00:39:49,359 Speaker 1: officials is all over the place, and we saw what 714 00:39:49,440 --> 00:39:53,319 Speaker 1: benefits they received. And I hate to say it like this, 715 00:39:53,440 --> 00:39:57,239 Speaker 1: but it's true. We saw what benefits that they received 716 00:39:57,360 --> 00:40:00,680 Speaker 1: in the last election by virtue of locking down the 717 00:40:00,840 --> 00:40:05,080 Speaker 1: entire country, ensuring there was mass mail in voting. Uh, 718 00:40:05,120 --> 00:40:08,080 Speaker 1: they did a number of things. And now we're at 719 00:40:08,080 --> 00:40:11,160 Speaker 1: a place where soon enough we're gonna be going into 720 00:40:11,520 --> 00:40:17,239 Speaker 1: another election in the fear of COVID and the new 721 00:40:17,360 --> 00:40:22,080 Speaker 1: delta variant as being dialed up tremendously. So no one 722 00:40:22,160 --> 00:40:27,400 Speaker 1: really knows what may happen again, or if the country 723 00:40:27,480 --> 00:40:29,560 Speaker 1: is gonna shut down again and go back into a 724 00:40:29,600 --> 00:40:34,160 Speaker 1: depression after all of what we experienced. What are your 725 00:40:34,200 --> 00:40:38,640 Speaker 1: thoughts on that, Kimberly, So for me, it's very personal, 726 00:40:38,840 --> 00:40:41,200 Speaker 1: you know, Like you know, I ran for Congress in 727 00:40:41,320 --> 00:40:45,759 Speaker 1: Maryland seventh and um, you know here in Maryland we 728 00:40:46,440 --> 00:40:49,840 Speaker 1: allow unsolicited mail in ballots, and this is something that 729 00:40:49,920 --> 00:40:52,560 Speaker 1: Governor Ron De Santis is trying to tackle in Florida 730 00:40:52,680 --> 00:40:56,680 Speaker 1: right now, we have supposedly a Republican governor and Governor Hogan, 731 00:40:56,800 --> 00:40:59,880 Speaker 1: but he's not doing anything about it. When you have 732 00:41:00,040 --> 00:41:03,280 Speaker 1: unsolicited mail in ballots come in, it's not like absentee ballots. 733 00:41:03,320 --> 00:41:06,520 Speaker 1: It's you know, these ballots come anywhere. Um, it could 734 00:41:06,560 --> 00:41:09,239 Speaker 1: be a former resident of a home and that new 735 00:41:09,280 --> 00:41:11,359 Speaker 1: resident could just fill it out and send it back 736 00:41:11,360 --> 00:41:15,040 Speaker 1: in the way they want to. And then also, unfortunately Maryland, 737 00:41:15,040 --> 00:41:18,040 Speaker 1: ballot harvesting is legal, so we had a lot of 738 00:41:18,040 --> 00:41:21,160 Speaker 1: people on my opponent's side that would go to nursing 739 00:41:21,200 --> 00:41:24,960 Speaker 1: homes and other areas and literally just collect ballots for people. 740 00:41:25,280 --> 00:41:27,879 Speaker 1: And so when you have unsolicited mail in ballots, if 741 00:41:27,920 --> 00:41:30,680 Speaker 1: if they wanted to help somebody that didn't receive a 742 00:41:30,719 --> 00:41:34,640 Speaker 1: ballot with another ballot, they could just basically request one 743 00:41:34,920 --> 00:41:36,920 Speaker 1: or even just pick up another one to fill it 744 00:41:36,920 --> 00:41:39,880 Speaker 1: out for them. So on election night, we thought it 745 00:41:39,880 --> 00:41:41,440 Speaker 1: was gonna be a pretty good night, but the very 746 00:41:41,480 --> 00:41:44,560 Speaker 1: next day we had a lot of mail in ballots 747 00:41:44,600 --> 00:41:47,960 Speaker 1: counted and we actually ended up with more mail in 748 00:41:48,040 --> 00:41:53,040 Speaker 1: ballots than we did voters in our Yeah, so so 749 00:41:53,200 --> 00:41:57,400 Speaker 1: it allows people to basically get into fraudulent activity. But 750 00:41:57,480 --> 00:42:00,560 Speaker 1: that's something that we should have been tackling in the meantime. 751 00:42:01,040 --> 00:42:03,440 Speaker 1: And so, now, like you said, we see COVID coming back, 752 00:42:04,040 --> 00:42:06,160 Speaker 1: they just continue to move the goal post. Right, And 753 00:42:06,239 --> 00:42:08,160 Speaker 1: we first heard about it, it was, oh, we gotta 754 00:42:08,440 --> 00:42:10,640 Speaker 1: flatten the curve. Right, it was flatten the curve for 755 00:42:10,680 --> 00:42:12,440 Speaker 1: two weeks that it was this and was that, Like 756 00:42:12,480 --> 00:42:14,920 Speaker 1: you said, the vaccine. Now they're telling us, oh, the 757 00:42:15,000 --> 00:42:17,719 Speaker 1: vaccine doesn't really work. Still got to wear a mask. Oh, 758 00:42:17,880 --> 00:42:20,879 Speaker 1: now you know, unvaccinated people, they must go and get 759 00:42:20,880 --> 00:42:23,520 Speaker 1: a vaccine. Like you know, they continue to move the 760 00:42:23,560 --> 00:42:26,160 Speaker 1: goal post because I do think now they are looking 761 00:42:26,160 --> 00:42:28,919 Speaker 1: at two they're looking at the fact that they didn't 762 00:42:28,920 --> 00:42:31,360 Speaker 1: do anything to secure the border. Like we talked about, 763 00:42:31,360 --> 00:42:34,000 Speaker 1: crime and violence is out of control when Democrat areas. 764 00:42:34,360 --> 00:42:36,879 Speaker 1: So it's not looking very good for them. And even 765 00:42:36,960 --> 00:42:39,680 Speaker 1: when it came to the COVID relief bill, there's a 766 00:42:39,680 --> 00:42:41,440 Speaker 1: lot of money that is still caught up in that 767 00:42:41,480 --> 00:42:43,920 Speaker 1: and didn't really make it to those in need. And 768 00:42:43,960 --> 00:42:46,640 Speaker 1: so if you look at it, the administration the Body 769 00:42:46,640 --> 00:42:50,040 Speaker 1: administration didn't accomplish a whole lot. So I guess to them, 770 00:42:50,120 --> 00:42:54,439 Speaker 1: why not take advantage of another election with COVID. Yeah, 771 00:42:54,480 --> 00:42:56,279 Speaker 1: I think I think that's I think that's a really 772 00:42:56,280 --> 00:42:58,480 Speaker 1: important point. And I also want to point out that 773 00:42:58,560 --> 00:43:01,520 Speaker 1: the unemployment rates in califern Fownia, in New York, which 774 00:43:01,600 --> 00:43:04,279 Speaker 1: it was at eight point five percent, in California eight 775 00:43:04,320 --> 00:43:09,120 Speaker 1: point nine percent, and uh New York remained significantly higher 776 00:43:09,800 --> 00:43:13,399 Speaker 1: in February than the national six point to average. Unemployment 777 00:43:13,800 --> 00:43:17,640 Speaker 1: in New York City was still at twelve point nine percent. 778 00:43:18,200 --> 00:43:21,160 Speaker 1: But yeah, the the real issue, I think for a 779 00:43:21,200 --> 00:43:25,800 Speaker 1: lot of folks is now what do they do. We 780 00:43:25,800 --> 00:43:28,520 Speaker 1: were supposed to be, not necessarily in a post COVID world. 781 00:43:28,640 --> 00:43:31,560 Speaker 1: We're supposed to be in a place where we have 782 00:43:31,920 --> 00:43:34,160 Speaker 1: the solution to the problem, which was the vaccine. Now 783 00:43:34,200 --> 00:43:39,040 Speaker 1: we have a different variant. They're talking about passports, uh 784 00:43:39,120 --> 00:43:41,839 Speaker 1: COVID passports, which I think it's really ridiculous. Like we 785 00:43:41,880 --> 00:43:44,839 Speaker 1: went from you can't and I know people have made 786 00:43:44,880 --> 00:43:47,680 Speaker 1: this point, but yeah, you know, we we can't us 787 00:43:47,840 --> 00:43:50,080 Speaker 1: get be identified to have somebody with an I D 788 00:43:50,320 --> 00:43:52,399 Speaker 1: to go and vote. But yeah, we're gonna get your 789 00:43:52,400 --> 00:43:55,440 Speaker 1: health record passport like it's kind of ridiculous and it's 790 00:43:55,480 --> 00:43:58,400 Speaker 1: stupid in that way. I don't think that it should 791 00:43:58,440 --> 00:44:01,680 Speaker 1: be anyone's business if person is vaccinated or not, unless 792 00:44:01,719 --> 00:44:05,040 Speaker 1: they want to tell them that if you are a 793 00:44:05,040 --> 00:44:07,480 Speaker 1: person that's overweight, if your person is obese, if your 794 00:44:07,520 --> 00:44:10,719 Speaker 1: person would pre existing conditions, then perhaps you should be 795 00:44:10,840 --> 00:44:14,800 Speaker 1: one that wears a mask. Definitely get vaccinated, because those 796 00:44:14,840 --> 00:44:18,200 Speaker 1: are a big bulk of the people who died from 797 00:44:18,239 --> 00:44:20,759 Speaker 1: COVID last year and this year. Those who were have 798 00:44:20,840 --> 00:44:26,640 Speaker 1: the preexisting conditions or overweight or obese, and with where 799 00:44:26,680 --> 00:44:29,400 Speaker 1: we are now, it appears to be a lot of 800 00:44:29,440 --> 00:44:33,960 Speaker 1: government overreach and dealing with what the issue truly is. 801 00:44:34,120 --> 00:44:38,239 Speaker 1: It's you shouldn't require citizens to make a medical decision 802 00:44:38,440 --> 00:44:41,600 Speaker 1: for themselves and unless also keep in mind some people 803 00:44:41,719 --> 00:44:46,719 Speaker 1: have reportedly died after they receive their shots, and I'm 804 00:44:46,760 --> 00:44:49,680 Speaker 1: not trying to make people hesitant from getting the shot. 805 00:44:49,719 --> 00:44:52,560 Speaker 1: I'm not. I'm not trying to be the boogeyman on 806 00:44:52,640 --> 00:44:56,240 Speaker 1: that issue, but there are people who are concerned about 807 00:44:56,280 --> 00:45:01,319 Speaker 1: their health because this pick. These shots have emergency authorization, 808 00:45:01,360 --> 00:45:04,240 Speaker 1: but they've not been FDA approved, So some people want 809 00:45:04,280 --> 00:45:07,799 Speaker 1: to ensure that the FDA has fully approved it. Not 810 00:45:07,880 --> 00:45:11,200 Speaker 1: only that for those who already have had COVID, they're 811 00:45:11,200 --> 00:45:13,799 Speaker 1: following the science. And I saw a friend of mine 812 00:45:13,880 --> 00:45:15,839 Speaker 1: just yesterday he said, listen, I don't I don't need 813 00:45:15,880 --> 00:45:18,839 Speaker 1: to go get vaccinated. I had COVID. I'm gonna follow 814 00:45:18,880 --> 00:45:21,239 Speaker 1: the science. Which the Democratic Party used to be the 815 00:45:21,280 --> 00:45:24,520 Speaker 1: Party of science. I'm guessing that was just a facade 816 00:45:24,520 --> 00:45:28,959 Speaker 1: at this point because they're not following the advice that 817 00:45:29,200 --> 00:45:31,279 Speaker 1: was then put out and a number of times from 818 00:45:31,280 --> 00:45:35,000 Speaker 1: a number of doctors, just like when Trump said, hey, um, 819 00:45:35,160 --> 00:45:38,400 Speaker 1: if you get the hydra coded Quinn, this is called it. 820 00:45:38,520 --> 00:45:41,440 Speaker 1: It's a Z pack. Again, I can't think of how 821 00:45:41,480 --> 00:45:43,919 Speaker 1: to pronounce him anyway, when he said, hey, you take 822 00:45:44,000 --> 00:45:46,880 Speaker 1: this and and and and the survival rate is better, 823 00:45:47,080 --> 00:45:50,720 Speaker 1: and all the reporters, the media and even a number 824 00:45:50,760 --> 00:45:54,640 Speaker 1: of doctors came out against that, and he turned out 825 00:45:54,640 --> 00:45:58,279 Speaker 1: to be right. The survival rate I think increased or 826 00:45:58,320 --> 00:46:03,280 Speaker 1: something like that after people would have that that particular medicine. 827 00:46:03,400 --> 00:46:05,800 Speaker 1: And just imagine how many people would have been saved. 828 00:46:05,880 --> 00:46:10,080 Speaker 1: Head the media not ridiculed President Trump for saying something 829 00:46:10,120 --> 00:46:11,719 Speaker 1: that ended up being true. We could have saved a 830 00:46:11,719 --> 00:46:14,880 Speaker 1: lot of lots, So people are really following the science anymore, 831 00:46:15,080 --> 00:46:18,160 Speaker 1: and it's more political in a lot of cases than 832 00:46:18,200 --> 00:46:21,120 Speaker 1: it is science based. And that's what's really troubling now. 833 00:46:21,160 --> 00:46:25,000 Speaker 1: A live decisions are being dictated based on the politics 834 00:46:25,080 --> 00:46:29,160 Speaker 1: of a governor or a mayor, and that's insane, No, 835 00:46:29,320 --> 00:46:31,560 Speaker 1: it is, and it's so crazy about it. I'm one 836 00:46:31,600 --> 00:46:34,400 Speaker 1: of those people where I'm listening to my doctor, so 837 00:46:34,520 --> 00:46:37,759 Speaker 1: I see an asthma and allergy specialist once a month 838 00:46:38,600 --> 00:46:41,200 Speaker 1: just because I always have dealt with asthma really bad, 839 00:46:41,440 --> 00:46:46,560 Speaker 1: and apparently with the vaccine, they have been seeing respiratory issues. 840 00:46:47,080 --> 00:46:50,120 Speaker 1: So I was told to wait and to kind of 841 00:46:50,160 --> 00:46:53,040 Speaker 1: see what happens with other people dealing with the same 842 00:46:53,040 --> 00:46:55,759 Speaker 1: issues that I have. So I personally have not been 843 00:46:55,840 --> 00:46:59,640 Speaker 1: vaccinated UM. I also had COVID right when it we 844 00:46:59,719 --> 00:47:02,680 Speaker 1: really started talking about it. That was in what was it, 845 00:47:02,880 --> 00:47:07,439 Speaker 1: March when I had UM and so yeah, we were 846 00:47:07,480 --> 00:47:09,920 Speaker 1: told that we wouldn't have the antibodies. I don't know 847 00:47:09,920 --> 00:47:13,560 Speaker 1: if they said forever obviously, but no, I know the 848 00:47:13,680 --> 00:47:18,800 Speaker 1: risk as somebody that's not vaccinated, and I personally choose 849 00:47:18,880 --> 00:47:22,000 Speaker 1: to take the risk instead of choosing to take the vaccine, 850 00:47:22,719 --> 00:47:25,320 Speaker 1: not knowing if it's going to trigger a n asthma 851 00:47:25,320 --> 00:47:28,080 Speaker 1: attack and have a bad effect. So I'm gonna listen 852 00:47:28,120 --> 00:47:34,920 Speaker 1: to my doctor before I listened to Joe Biden to 853 00:47:35,160 --> 00:47:37,799 Speaker 1: like a smart decision. Listening to Joe Biden these days 854 00:47:37,840 --> 00:47:40,399 Speaker 1: it's not worth while. And half the time he doesn't 855 00:47:40,440 --> 00:47:44,200 Speaker 1: even know he's president, so we it's tough to try 856 00:47:44,239 --> 00:47:46,759 Speaker 1: to listen to Joe Biden no much of anything, and 857 00:47:47,640 --> 00:47:49,880 Speaker 1: it's it seems as the other media has been protecting 858 00:47:49,960 --> 00:47:54,719 Speaker 1: him on all his his uh his his misspeaking to 859 00:47:54,840 --> 00:47:57,920 Speaker 1: put it mildly, because some of his laws is not 860 00:47:58,000 --> 00:48:02,319 Speaker 1: a miss misspoke situation. Uh. And I'm I'm sure with 861 00:48:02,400 --> 00:48:05,440 Speaker 1: all the new information coming in about about the delta variant, 862 00:48:05,640 --> 00:48:09,280 Speaker 1: are you more concerned than you were about COVID previously 863 00:48:09,280 --> 00:48:13,799 Speaker 1: because they said this is a stronger variation of the 864 00:48:13,840 --> 00:48:16,759 Speaker 1: original strain of COVID. Are you concerned? I mean, I 865 00:48:16,800 --> 00:48:19,560 Speaker 1: definitely think about it. You know, I travel with my 866 00:48:19,600 --> 00:48:22,040 Speaker 1: pack every week, and so I meet a lot of 867 00:48:22,040 --> 00:48:24,600 Speaker 1: new people all the time. But that's right, because you 868 00:48:24,640 --> 00:48:27,239 Speaker 1: do events multiple times a week. Yeah, so I but 869 00:48:27,280 --> 00:48:30,759 Speaker 1: I also get tested often too, so because you have 870 00:48:30,840 --> 00:48:34,000 Speaker 1: to travel correct, and you know, the last thing I 871 00:48:34,040 --> 00:48:36,560 Speaker 1: want is to like give any kind of variant to 872 00:48:36,640 --> 00:48:41,440 Speaker 1: somebody else, so exactly, and you know, I have a 873 00:48:41,440 --> 00:48:44,520 Speaker 1: five year old daughter as well, so we got to 874 00:48:44,600 --> 00:48:46,680 Speaker 1: just keep you know, track of it. But you know, 875 00:48:46,760 --> 00:48:49,200 Speaker 1: that's how I choose to live my life. And I'm 876 00:48:49,239 --> 00:48:52,279 Speaker 1: fine with that. And hopefully if I get it proved 877 00:48:52,320 --> 00:48:55,120 Speaker 1: to go and get the vaccine, I will. But for 878 00:48:55,239 --> 00:48:57,640 Speaker 1: right now, think about it with Joe Biden in his 879 00:48:57,760 --> 00:49:00,640 Speaker 1: town hall, what was that two weeks ago he was 880 00:49:00,680 --> 00:49:03,880 Speaker 1: telling people on stage, Look, if you get vaccinated, you 881 00:49:03,880 --> 00:49:08,160 Speaker 1: can live life normally. And literally within days, he completely 882 00:49:08,520 --> 00:49:12,120 Speaker 1: changed his chune about it. Yeah, and that's we don't 883 00:49:12,160 --> 00:49:14,680 Speaker 1: need that kind of leadership, especially when there's a public 884 00:49:14,760 --> 00:49:18,520 Speaker 1: health emergency. And let's also keep in mind Joe Biden 885 00:49:18,600 --> 00:49:23,000 Speaker 1: ran on the platform that Donald Trump mishandled COVID, and 886 00:49:23,320 --> 00:49:25,759 Speaker 1: I'm gonna being honest, there was some I don't think 887 00:49:25,760 --> 00:49:28,600 Speaker 1: he he took it seriously in the way, but when 888 00:49:28,600 --> 00:49:30,319 Speaker 1: he came at the hospital, I just thought he did 889 00:49:30,360 --> 00:49:34,040 Speaker 1: too much. Like that should have been his point where 890 00:49:34,040 --> 00:49:37,240 Speaker 1: he's like, you know what, there is a serious disease. Folks, 891 00:49:37,239 --> 00:49:40,560 Speaker 1: wear your masks etcetera, etcetera. And I gave the Democrats 892 00:49:40,880 --> 00:49:44,640 Speaker 1: and the media more uh more soundbites for them to 893 00:49:44,680 --> 00:49:46,440 Speaker 1: play over and over and say that he didn't take 894 00:49:46,440 --> 00:49:48,759 Speaker 1: it seriously. So I thought when he came out at 895 00:49:48,760 --> 00:49:50,799 Speaker 1: President Trump came at the hospital, when he did the 896 00:49:51,160 --> 00:49:53,520 Speaker 1: one on the balcony of the White House with all 897 00:49:53,560 --> 00:49:56,399 Speaker 1: the music and the sound, that was like, bro, you're 898 00:49:56,440 --> 00:50:01,879 Speaker 1: doing don my old question doing the most. Yeah, you see, 899 00:50:01,920 --> 00:50:06,680 Speaker 1: he could not breathe up there right for air. I 900 00:50:06,719 --> 00:50:11,399 Speaker 1: was really nervous because of course I think asthma immediately. Um. 901 00:50:11,440 --> 00:50:14,040 Speaker 1: But yeah, no, I think he probably could have done 902 00:50:14,040 --> 00:50:15,920 Speaker 1: a little bit more to say, look, you know what, 903 00:50:16,080 --> 00:50:20,160 Speaker 1: I got vaccinated and and it is serious and something 904 00:50:20,200 --> 00:50:23,000 Speaker 1: that we should all just stop politicizing. But yeah, I 905 00:50:23,239 --> 00:50:25,600 Speaker 1: look at it as President Trump, no matter what he 906 00:50:25,640 --> 00:50:29,879 Speaker 1: says or does, he's going to get bashed. So yeah, 907 00:50:29,960 --> 00:50:33,000 Speaker 1: that's that's been the case. But he's also given some 908 00:50:33,040 --> 00:50:35,160 Speaker 1: reasons to bash him too. I think that would be 909 00:50:35,200 --> 00:50:37,080 Speaker 1: one of them. And as much as I would support 910 00:50:37,120 --> 00:50:40,440 Speaker 1: the policies in which he passed on the number of occasions, 911 00:50:40,440 --> 00:50:43,080 Speaker 1: I'm still willing to call him out wherever necessary, because 912 00:50:43,120 --> 00:50:48,080 Speaker 1: that was just not that was awful. That was awful. 913 00:50:48,560 --> 00:50:52,440 Speaker 1: But but that's here nor there. What do you make 914 00:50:52,520 --> 00:50:56,040 Speaker 1: of people with like New York Mirror Bill de Blasio 915 00:50:56,239 --> 00:50:59,200 Speaker 1: essentially saying unvaccinated people won't have access to the same 916 00:51:00,040 --> 00:51:02,640 Speaker 1: races and freedoms is vaccinated people? What what do you 917 00:51:02,640 --> 00:51:05,760 Speaker 1: make of that? Um? I feel like that's the new form. 918 00:51:05,800 --> 00:51:09,960 Speaker 1: It's like modern day segregation, right, I mean, it's that's wild. 919 00:51:10,040 --> 00:51:13,959 Speaker 1: I saw the mayor in Boston, black woman Democrat, she said, 920 00:51:14,000 --> 00:51:18,279 Speaker 1: how is this any different than asking slaves for their papers? Right? 921 00:51:18,360 --> 00:51:21,400 Speaker 1: I mean it's to me, it's it's segregation. It's like, okay, 922 00:51:21,440 --> 00:51:24,640 Speaker 1: here the unvaccinated, here the vaccinated. They already seem to 923 00:51:24,719 --> 00:51:29,480 Speaker 1: want to shame the unvaccinated. I think it's a personal choice, 924 00:51:29,880 --> 00:51:31,959 Speaker 1: and I don't think we should be taking it down 925 00:51:31,960 --> 00:51:35,200 Speaker 1: this road. But Mayor built a Blasio. I mean, I've 926 00:51:35,239 --> 00:51:38,640 Speaker 1: never shocked at the things that he says and does. Yeah, 927 00:51:38,760 --> 00:51:40,840 Speaker 1: it's it's it's gotten to the point where we just 928 00:51:40,960 --> 00:51:44,560 Speaker 1: already know he's he lost his way a long time ago. 929 00:51:44,600 --> 00:51:48,040 Speaker 1: I don't think he ever really had it. But you know, 930 00:51:48,120 --> 00:51:50,359 Speaker 1: don't get me wrong, there's some Democrats out there where 931 00:51:50,360 --> 00:51:52,000 Speaker 1: I'm like, man, this is a good part. I've had 932 00:51:52,040 --> 00:51:54,640 Speaker 1: Democrats on the show where I'm like, Okay, these are 933 00:51:54,640 --> 00:51:58,440 Speaker 1: good people. These are really cool people, elected officials and everything. 934 00:51:58,480 --> 00:52:00,640 Speaker 1: They're like good hearts. They want to do the right thing. 935 00:52:00,719 --> 00:52:04,520 Speaker 1: We may disagree on politics or particular policy, but they're good, 936 00:52:04,920 --> 00:52:07,080 Speaker 1: good people, and you know, they're well intentioned. And I 937 00:52:07,120 --> 00:52:10,120 Speaker 1: don't know how well intentioned build the Blasio is I 938 00:52:10,120 --> 00:52:13,720 Speaker 1: I don't necessarily see see that. You don't force people 939 00:52:13,719 --> 00:52:18,319 Speaker 1: to make medical decisions. I just I'm just really against that. 940 00:52:18,400 --> 00:52:20,600 Speaker 1: In Democrats are supposed to be the party of choice, 941 00:52:21,320 --> 00:52:24,760 Speaker 1: and they're giving us no choice. You know. I respect 942 00:52:24,840 --> 00:52:28,160 Speaker 1: the person's desire, which is not to get vaccinated, just 943 00:52:28,200 --> 00:52:30,759 Speaker 1: like I respect somebody who says I want to be vaccinated. 944 00:52:31,000 --> 00:52:35,000 Speaker 1: I've not been vaccinated. I've had COVID before, So I'm okay, 945 00:52:35,120 --> 00:52:39,000 Speaker 1: I'm comfortable with not being vaccinated. I'm not comfortable with 946 00:52:39,040 --> 00:52:42,920 Speaker 1: being shamed for not being vaccinated. And leaders like you 947 00:52:42,960 --> 00:52:46,239 Speaker 1: said they gotta stop throw the politics away, just give 948 00:52:46,360 --> 00:52:49,399 Speaker 1: us the science and let us go on from there. 949 00:52:49,680 --> 00:52:52,960 Speaker 1: You know, it's a serious health issue, got it? Uh 950 00:52:53,120 --> 00:52:56,560 Speaker 1: Wuhan lab likely came from the Uhan lab, the one 951 00:52:56,600 --> 00:53:01,719 Speaker 1: in which the the CCP certainly UH probably unlikely head 952 00:53:01,760 --> 00:53:04,000 Speaker 1: of hand in just based on the reporting that we've 953 00:53:04,040 --> 00:53:08,839 Speaker 1: seen have has come out, and certainly it was. If 954 00:53:08,880 --> 00:53:12,000 Speaker 1: this is the case, if the reporting gets correct and accurate, 955 00:53:12,440 --> 00:53:16,520 Speaker 1: that the this came from the Juan lap UH, then 956 00:53:16,960 --> 00:53:19,800 Speaker 1: China certainly was looking to decimate the U. S economy 957 00:53:19,840 --> 00:53:22,239 Speaker 1: and whoever else, And as a result of COVID and 958 00:53:22,280 --> 00:53:27,279 Speaker 1: the lockdowns, their economy will overtake or at least is 959 00:53:27,480 --> 00:53:31,319 Speaker 1: UH scheduled or predicted to overtake the U. S economy 960 00:53:31,440 --> 00:53:35,719 Speaker 1: UH in this decade. So with these different variants, I 961 00:53:35,760 --> 00:53:38,239 Speaker 1: wonder you know where could this have come from? But 962 00:53:38,400 --> 00:53:42,759 Speaker 1: democratic politicians are helping to stop the progress of our 963 00:53:42,800 --> 00:53:47,839 Speaker 1: country economically, given China UH front row seat, or rather 964 00:53:47,920 --> 00:53:51,160 Speaker 1: in the driver's seat if you will, to win over 965 00:53:51,239 --> 00:53:55,839 Speaker 1: us economically, which brings me to another statement here. When 966 00:53:55,880 --> 00:53:58,640 Speaker 1: the data is clear, the red states that opened up 967 00:53:58,680 --> 00:54:02,960 Speaker 1: from the lockdowns quicker did better economically, as Political reported 968 00:54:03,120 --> 00:54:07,000 Speaker 1: in late June, of the fifteen states that have returned 969 00:54:07,040 --> 00:54:10,200 Speaker 1: to pre pandemic levels of economic activity to wherever I 970 00:54:10,280 --> 00:54:13,480 Speaker 1: led by Republican governors of the ten states reporting the 971 00:54:13,520 --> 00:54:17,640 Speaker 1: lowest level of economics activities since January seven. I run 972 00:54:17,680 --> 00:54:22,239 Speaker 1: by democratic governors. Economics, folks, it's it's you have to 973 00:54:22,360 --> 00:54:25,280 Speaker 1: be able to take care of your family. We cannot 974 00:54:25,320 --> 00:54:27,360 Speaker 1: live on the government. I know there's a lot of 975 00:54:27,400 --> 00:54:30,000 Speaker 1: folks who received a bunch of unemployment. They may have 976 00:54:30,040 --> 00:54:34,000 Speaker 1: gotten some p PP money. And somebody that I know 977 00:54:34,160 --> 00:54:37,680 Speaker 1: I saw in l A recently said, man, that was 978 00:54:37,960 --> 00:54:40,239 Speaker 1: the most money that I ever made on that unemployment. 979 00:54:40,280 --> 00:54:43,840 Speaker 1: I wish they'll bring it back. No, folks, we gotta 980 00:54:44,040 --> 00:54:47,960 Speaker 1: get back to self reliance, and we have politicians who 981 00:54:47,960 --> 00:54:53,839 Speaker 1: are creating economic situation that is destructive to families. What 982 00:54:53,920 --> 00:54:56,680 Speaker 1: do you think about what's going on with them shutting 983 00:54:56,719 --> 00:54:59,799 Speaker 1: down or have shut down and possibly about to shut 984 00:54:59,840 --> 00:55:03,360 Speaker 1: down local governments or rather cities and states. Again, what 985 00:55:03,400 --> 00:55:05,719 Speaker 1: are you what's your your take on, Nick Camp? I mean, 986 00:55:05,760 --> 00:55:08,760 Speaker 1: it's a scary thought. Everything the government has ever touched 987 00:55:08,840 --> 00:55:11,560 Speaker 1: or run. I believe it's just been a disaster. That 988 00:55:11,680 --> 00:55:14,800 Speaker 1: can point too many times in history where that's happened. 989 00:55:15,000 --> 00:55:18,200 Speaker 1: I think the biggest one is in nineve where it 990 00:55:18,280 --> 00:55:21,520 Speaker 1: really affected the black community, and in my opinion, is 991 00:55:21,560 --> 00:55:24,800 Speaker 1: when basically the government asked the black woman to marry 992 00:55:24,840 --> 00:55:27,200 Speaker 1: the government rather than the father of a child. Right, 993 00:55:27,320 --> 00:55:30,880 Speaker 1: we saw basically the welfare state come into play and 994 00:55:30,960 --> 00:55:34,080 Speaker 1: that has devastated our communities since then. And then you 995 00:55:34,160 --> 00:55:37,880 Speaker 1: compound that with crime bill. It's just everything the government 996 00:55:37,920 --> 00:55:41,360 Speaker 1: touches to me just ends up being more of an issue. 997 00:55:41,520 --> 00:55:43,879 Speaker 1: And then they try to say, oh, we need more 998 00:55:43,920 --> 00:55:46,440 Speaker 1: money to fix this issue, and that's what they run on. 999 00:55:46,880 --> 00:55:49,640 Speaker 1: It's the same old cycle and it never benefits. I 1000 00:55:49,680 --> 00:55:53,440 Speaker 1: don't think we the people. I mean right here in Maryland, 1001 00:55:53,680 --> 00:55:55,040 Speaker 1: we have a lot of people that are still on 1002 00:55:55,120 --> 00:55:57,960 Speaker 1: unemployment because, like your friends said, they're making more money 1003 00:55:57,960 --> 00:56:00,279 Speaker 1: sitting home, and so we have some busy This is 1004 00:56:00,360 --> 00:56:06,239 Speaker 1: especially the rest Maybe I misspoke. Someone I know we 1005 00:56:06,320 --> 00:56:12,520 Speaker 1: have is out of acquaintance people be like them your 1006 00:56:12,560 --> 00:56:17,080 Speaker 1: Ganna Frians. No, we have some restaurants here in Maryland 1007 00:56:17,160 --> 00:56:19,680 Speaker 1: where they are having a hard time getting people to 1008 00:56:19,719 --> 00:56:23,000 Speaker 1: come back to work because they are making more money 1009 00:56:23,040 --> 00:56:27,560 Speaker 1: on unemployment. Luckily, Governor Hogan is saying by September one, uh, 1010 00:56:27,600 --> 00:56:29,799 Speaker 1: they're no longer going to be given, you know, so 1011 00:56:29,880 --> 00:56:32,360 Speaker 1: much in unemployment to make people come back to work. 1012 00:56:32,840 --> 00:56:36,480 Speaker 1: He ended the eviction moratorium daying, look, landlords need to 1013 00:56:36,480 --> 00:56:39,120 Speaker 1: pay their mortgage and so you got to pay your rent. 1014 00:56:39,440 --> 00:56:41,239 Speaker 1: And that's how it should have been from the get go. 1015 00:56:41,360 --> 00:56:44,200 Speaker 1: It should have never gotten to this point. Of course, 1016 00:56:44,280 --> 00:56:47,720 Speaker 1: I think I think like a Republican in that sense. Um, 1017 00:56:47,760 --> 00:56:50,919 Speaker 1: But you know, for me, it's just a no win. 1018 00:56:51,320 --> 00:56:53,920 Speaker 1: And we look at states like Florida with Governor Rod 1019 00:56:53,960 --> 00:56:57,040 Speaker 1: de Santis, and they were able to continue moving those 1020 00:56:57,080 --> 00:56:59,879 Speaker 1: people down there seem to be doing just fine with 1021 00:57:00,040 --> 00:57:03,239 Speaker 1: and things are, you know, as fine as economically. We 1022 00:57:03,280 --> 00:57:05,799 Speaker 1: look at the delta variant now and people are saying, oh, 1023 00:57:05,840 --> 00:57:09,319 Speaker 1: it's it's more in Florida, Texas, and I believe Louisiana. 1024 00:57:09,840 --> 00:57:11,799 Speaker 1: But I have to say with that, we know it 1025 00:57:11,840 --> 00:57:14,520 Speaker 1: came in from out of this country. I think they 1026 00:57:14,640 --> 00:57:18,040 Speaker 1: pinpointed to India. But we have our southern border wide 1027 00:57:18,040 --> 00:57:20,760 Speaker 1: open right now. When I look at that, I'm like, well, 1028 00:57:20,840 --> 00:57:23,960 Speaker 1: is this really serious. If it's really serious, why do 1029 00:57:24,040 --> 00:57:27,000 Speaker 1: we have our southern border wide open? If it's really serious, 1030 00:57:27,680 --> 00:57:30,680 Speaker 1: why didn't we do anything in the meantime to prepare 1031 00:57:30,760 --> 00:57:34,320 Speaker 1: us for possibly the variant and another pandemic. I ran 1032 00:57:34,600 --> 00:57:37,880 Speaker 1: on basically bringing the billion dollar medical equipment industry back 1033 00:57:37,920 --> 00:57:41,280 Speaker 1: to the States, particularly through the Baltimore City port, but 1034 00:57:41,360 --> 00:57:44,960 Speaker 1: we did not do anything to beef up our equipment 1035 00:57:44,960 --> 00:57:48,240 Speaker 1: industry as far as medicine here during this entire time 1036 00:57:48,280 --> 00:57:50,960 Speaker 1: that we're trying to rebuild from the pandemic. And then 1037 00:57:50,960 --> 00:57:53,480 Speaker 1: you see President Joe Biden put out a tweet saying, oh, 1038 00:57:53,520 --> 00:57:56,520 Speaker 1: We've got the most jobs back on the market this 1039 00:57:56,600 --> 00:57:59,720 Speaker 1: past month, and it's like, basically he just he's taken 1040 00:58:00,120 --> 00:58:02,439 Speaker 1: it for jobs that are being replenished that we're taking 1041 00:58:02,480 --> 00:58:06,560 Speaker 1: away in the beginning right there, right, they're not new jobs, 1042 00:58:06,560 --> 00:58:09,320 Speaker 1: they're not new careers. So it's it's a disaster to me. 1043 00:58:09,440 --> 00:58:12,800 Speaker 1: But maybe that's just my take. No, I think that's 1044 00:58:12,840 --> 00:58:16,000 Speaker 1: the take up a lot of other people. Very cogent point. Now, 1045 00:58:16,040 --> 00:58:18,760 Speaker 1: I want to shift now from the issues of the 1046 00:58:18,840 --> 00:58:21,680 Speaker 1: day to what you're up to, Kim, and what you 1047 00:58:21,760 --> 00:58:23,840 Speaker 1: got planning for the future. But first let's take a 1048 00:58:23,920 --> 00:58:28,880 Speaker 1: quick break. Welcome back to Ally with Giano Caldwell. I 1049 00:58:28,920 --> 00:58:32,600 Speaker 1: got Kimberly Clasic co hosting the show with me, first 1050 00:58:32,680 --> 00:58:40,280 Speaker 1: time ever doing this. It's been quite fun, certainly auspicious commentary. 1051 00:58:40,320 --> 00:58:43,200 Speaker 1: This is one of the shows that I think I'll 1052 00:58:43,280 --> 00:58:48,280 Speaker 1: forever remember because I enjoy doing co hosting. I really do. 1053 00:58:48,440 --> 00:58:52,040 Speaker 1: I'm actually co hosting on a Fox News channel here 1054 00:58:52,080 --> 00:58:55,560 Speaker 1: next week, but I really appreciate having just the various 1055 00:58:55,640 --> 00:58:57,800 Speaker 1: viewpoints and being able to kind of toss things back 1056 00:58:57,840 --> 00:59:00,840 Speaker 1: and forth with somebody. So thank you for doing it, Kim. 1057 00:59:00,880 --> 00:59:02,800 Speaker 1: But I want to before I let you go, ask 1058 00:59:03,440 --> 00:59:07,000 Speaker 1: the question that everyone wants to know from you, which 1059 00:59:07,080 --> 00:59:10,840 Speaker 1: is will you be running for Congress again? Well, first 1060 00:59:10,840 --> 00:59:12,680 Speaker 1: of all, thank you so much for having me today. 1061 00:59:12,680 --> 00:59:14,760 Speaker 1: This has actually been a lot of fun being able 1062 00:59:14,760 --> 00:59:19,000 Speaker 1: to just talk candidly. But yeah, we plan on running again. 1063 00:59:19,240 --> 00:59:21,840 Speaker 1: We left a million dollars in the treasury to to 1064 00:59:21,920 --> 00:59:25,280 Speaker 1: do so. We were so fortunate to have support from 1065 00:59:25,320 --> 00:59:28,600 Speaker 1: all across this country, from amazing people, and then to 1066 00:59:28,600 --> 00:59:31,080 Speaker 1: have the support from the Trump family. We raised over 1067 00:59:31,160 --> 00:59:34,000 Speaker 1: eight point four million dollars in our race, so we're 1068 00:59:34,000 --> 00:59:36,040 Speaker 1: allowed to We're able to keep some money in the 1069 00:59:36,080 --> 00:59:39,720 Speaker 1: bank to to continue. It's gonna take time. Baltimore City, 1070 00:59:39,760 --> 00:59:42,880 Speaker 1: like Chicago, it's it's tough when you've been under Democrat 1071 00:59:43,240 --> 00:59:47,000 Speaker 1: one party rule for fifty some years. It's gonna take 1072 00:59:47,040 --> 00:59:49,840 Speaker 1: time for people to change their minds and say, wow, 1073 00:59:49,880 --> 00:59:53,160 Speaker 1: you know, maybe I should vote differently. But for us 1074 00:59:53,280 --> 00:59:56,439 Speaker 1: in Baltimore City in that part of the district, usually 1075 00:59:56,480 --> 01:00:00,160 Speaker 1: a Republican gets votes. We were able to get we're 1076 01:00:00,200 --> 01:00:02,880 Speaker 1: teen thousand votes, and we did that in a in 1077 01:00:02,880 --> 01:00:05,760 Speaker 1: a pretty short amount of time because our our viral 1078 01:00:05,800 --> 01:00:08,640 Speaker 1: ad didn't go viral until mid August and so we 1079 01:00:08,680 --> 01:00:11,400 Speaker 1: had until November three to really just take it home. 1080 01:00:11,480 --> 01:00:14,040 Speaker 1: So I think you know now that we still have time, 1081 01:00:14,200 --> 01:00:17,080 Speaker 1: we're still in the community. You have a team out 1082 01:00:17,120 --> 01:00:20,520 Speaker 1: there right now registering voters. There are actually seventy four 1083 01:00:20,600 --> 01:00:23,240 Speaker 1: thousand people in Baltimore City that are not registered to 1084 01:00:23,320 --> 01:00:25,920 Speaker 1: vote at all, and so that's a big chunk, and 1085 01:00:25,920 --> 01:00:28,280 Speaker 1: it's a big number where I know there's a lot 1086 01:00:28,280 --> 01:00:31,360 Speaker 1: of people saying, look, things aren't going the way we 1087 01:00:31,400 --> 01:00:34,360 Speaker 1: saw things were gonna be going at this point in time. One, 1088 01:00:34,400 --> 01:00:36,880 Speaker 1: we're all, you know, we're going backwards in a way. 1089 01:00:37,040 --> 01:00:39,360 Speaker 1: And so the more we stay out there and stay 1090 01:00:39,400 --> 01:00:42,520 Speaker 1: relevant and making sure people know they were there for 1091 01:00:42,600 --> 01:00:45,120 Speaker 1: the community. We took a bunch of kids from West 1092 01:00:45,160 --> 01:00:48,640 Speaker 1: Baltimore and sent them down to West Virginia to summer 1093 01:00:48,640 --> 01:00:50,320 Speaker 1: camp this year, and that was a lot of fun 1094 01:00:50,840 --> 01:00:52,720 Speaker 1: and you know, just give them something else to do 1095 01:00:52,920 --> 01:00:56,000 Speaker 1: and great exposure for them. Hopefully they'll go back each year. 1096 01:00:56,280 --> 01:00:58,640 Speaker 1: I've been donating and helping out at many churches in 1097 01:00:58,680 --> 01:01:02,400 Speaker 1: the area and is doing the things that anybody would 1098 01:01:02,440 --> 01:01:05,640 Speaker 1: do that's able to lend a helping hands. So we're 1099 01:01:05,640 --> 01:01:08,880 Speaker 1: definitely gonna run again. We're looking to run in twenty two, 1100 01:01:08,920 --> 01:01:11,360 Speaker 1: but if it ends up being four where we make 1101 01:01:11,400 --> 01:01:14,320 Speaker 1: the biggest ground game, then we'll just take our time 1102 01:01:14,320 --> 01:01:15,800 Speaker 1: and do what needs to be done so that we 1103 01:01:15,840 --> 01:01:18,520 Speaker 1: can win. But at the end of the day, I'm 1104 01:01:18,560 --> 01:01:20,720 Speaker 1: never giving up on Baltimore. You know, I hear all 1105 01:01:20,720 --> 01:01:23,160 Speaker 1: the rumors, Oh, Kim's gonna go to Florida. She probably 1106 01:01:23,160 --> 01:01:25,040 Speaker 1: is gonna go run in a in a district where 1107 01:01:25,040 --> 01:01:27,040 Speaker 1: it's easier to run, and It's like, no, that's not 1108 01:01:27,120 --> 01:01:29,760 Speaker 1: why I'm here, That's not why I got into this. 1109 01:01:29,760 --> 01:01:34,680 Speaker 1: This is about changing Baltimore. There are people that have hope, dreams, 1110 01:01:34,840 --> 01:01:37,600 Speaker 1: aspirations to do more, and I want to make sure 1111 01:01:37,640 --> 01:01:40,640 Speaker 1: that they have the opportunity to get to the American 1112 01:01:40,720 --> 01:01:43,640 Speaker 1: dream just like everyone else. And so we're gonna continue 1113 01:01:43,640 --> 01:01:46,000 Speaker 1: to run. I'll probably wait a little bit to announce, 1114 01:01:46,360 --> 01:01:50,360 Speaker 1: probably towards February next year, because I am working on 1115 01:01:50,440 --> 01:01:52,720 Speaker 1: my pack and you know the FBC rules, you can't 1116 01:01:52,720 --> 01:01:55,760 Speaker 1: do a pack and be an announced Kimia at the 1117 01:01:55,800 --> 01:01:58,400 Speaker 1: same time, so we'll we'll take our time on that. Well, 1118 01:01:58,440 --> 01:02:01,160 Speaker 1: thank you for giving us that exclusive of Kimberly Classic 1119 01:02:02,280 --> 01:02:06,120 Speaker 1: is running again. And you know one thing that I appreciate, 1120 01:02:06,160 --> 01:02:09,640 Speaker 1: I think you have it. I mean obviously the star power, 1121 01:02:10,040 --> 01:02:13,040 Speaker 1: but I think you actually care and that I think 1122 01:02:13,040 --> 01:02:15,919 Speaker 1: that resonates with people more. You actually care. And I've 1123 01:02:15,960 --> 01:02:18,240 Speaker 1: known you for years and I know that you care 1124 01:02:18,240 --> 01:02:21,120 Speaker 1: because we've been talking about this stuff for years before 1125 01:02:21,160 --> 01:02:23,600 Speaker 1: you even really hit the scene in the in the media. 1126 01:02:23,720 --> 01:02:27,240 Speaker 1: So thank you so much for all that you do. 1127 01:02:27,680 --> 01:02:31,800 Speaker 1: And the GOP should really be taking note because instead 1128 01:02:31,880 --> 01:02:33,760 Speaker 1: of trying to go to an area to win a 1129 01:02:33,880 --> 01:02:36,960 Speaker 1: race one time, especially when you're talking about urban centers, 1130 01:02:37,320 --> 01:02:39,720 Speaker 1: you gotta be in the community. You gotta stay there. 1131 01:02:39,760 --> 01:02:43,000 Speaker 1: You don't just win the race from one election. Most times, 1132 01:02:43,000 --> 01:02:46,120 Speaker 1: when you're trying to win urban seat, you gotta let 1133 01:02:46,160 --> 01:02:48,400 Speaker 1: the people get to know you. They gotta have conversations 1134 01:02:48,400 --> 01:02:52,120 Speaker 1: with you, feel comfortable with you, and whatever political boogeyman 1135 01:02:52,680 --> 01:02:55,240 Speaker 1: the Democrats will use. People look at it as bs 1136 01:02:55,320 --> 01:02:57,480 Speaker 1: and said, you know what, I know her. She's a 1137 01:02:57,520 --> 01:03:00,200 Speaker 1: good person. I don't believe that I want to give 1138 01:03:00,280 --> 01:03:02,520 Speaker 1: up my support. I met her, I believe in her, 1139 01:03:02,960 --> 01:03:06,120 Speaker 1: so continue doing that. And I hope you're still pushing 1140 01:03:06,120 --> 01:03:09,080 Speaker 1: the party to get involved in a lot of these races, 1141 01:03:09,080 --> 01:03:12,280 Speaker 1: but certainly you're you're using your pack to create the 1142 01:03:12,320 --> 01:03:15,760 Speaker 1: wave versus chasing it with the r n C. So, Kimberly, 1143 01:03:15,760 --> 01:03:18,479 Speaker 1: where can people find you? So? On Twitter, I'm at 1144 01:03:18,600 --> 01:03:23,400 Speaker 1: kim k Baltimore, and on Instagram and Facebook it's Kimberly Clasick. 1145 01:03:23,760 --> 01:03:26,640 Speaker 1: I'm on LinkedIn, but I mean that's not fun. Let's 1146 01:03:26,680 --> 01:03:31,840 Speaker 1: be honest. So just kidding now it's Kimberly Clasic there too. Okay, 1147 01:03:31,840 --> 01:03:34,320 Speaker 1: We'll be sure to follow you on all social media. 1148 01:03:34,800 --> 01:03:36,360 Speaker 1: I want to thank you again for co hosting the 1149 01:03:36,400 --> 01:03:40,040 Speaker 1: show with me and I look forward to what you 1150 01:03:40,120 --> 01:03:43,080 Speaker 1: have coming up and certainly doing more this with you. 1151 01:03:43,560 --> 01:03:45,720 Speaker 1: Thank you, thanks for having me, and keep up all 1152 01:03:45,720 --> 01:03:49,480 Speaker 1: the good work you're doing too. It's definitely appreciated. Thank you, 1153 01:03:49,520 --> 01:03:52,720 Speaker 1: miss Kimberly Classic. I appreciate your time and talk to 1154 01:03:52,760 --> 01:04:04,760 Speaker 1: you very soon. I want to thank my dear friend 1155 01:04:04,840 --> 01:04:07,400 Speaker 1: Kimberly Clasic again for co hosting with me this week. 1156 01:04:07,800 --> 01:04:10,600 Speaker 1: If you are enjoying the show, please leave us a 1157 01:04:10,640 --> 01:04:12,960 Speaker 1: review and rate us with five stars on Apple Podcast. 1158 01:04:13,360 --> 01:04:15,640 Speaker 1: If you have any questions for me, please email me 1159 01:04:15,680 --> 01:04:18,040 Speaker 1: at out loud at Gingeris Street sixty dot com and 1160 01:04:18,080 --> 01:04:20,480 Speaker 1: I'll try to answer them in our future episodes. And 1161 01:04:20,520 --> 01:04:22,840 Speaker 1: please sign up for my monthly newsletter at Gingerish Street 1162 01:04:22,840 --> 01:04:25,280 Speaker 1: sixt dot com slash out loud. You can also follow 1163 01:04:25,320 --> 01:04:28,400 Speaker 1: me on Twitter, Instagram, Facebook, and parlor at Giano Caldwell. 1164 01:04:28,960 --> 01:04:31,280 Speaker 1: And if you're interested in learning more about my story, 1165 01:04:31,320 --> 01:04:33,200 Speaker 1: please pick up a copy of my best selling book 1166 01:04:33,200 --> 01:04:36,560 Speaker 1: title Taken for Granted, How Conservatism Can Win back the 1167 01:04:36,600 --> 01:04:40,480 Speaker 1: Americans that Liberalism failed. Special thanks to our producers John Cassio, 1168 01:04:40,680 --> 01:04:44,720 Speaker 1: researcher Aaron Klingman, and executive producers Debbie Meyers and speaker 1169 01:04:44,760 --> 01:04:47,520 Speaker 1: New Gingwich, all part of the Gingis Street sixty Network