1 00:00:00,760 --> 00:00:04,200 Speaker 1: Welcome to the Tutor Dixon Podcast. You know, on this podcast, 2 00:00:04,280 --> 00:00:07,080 Speaker 1: we talk a lot about crime and the importance of 3 00:00:07,160 --> 00:00:09,879 Speaker 1: making sure that we are reducing crime in the country, 4 00:00:10,000 --> 00:00:12,080 Speaker 1: and I've talked to you a little bit about criminal 5 00:00:12,200 --> 00:00:14,160 Speaker 1: justice reform in the past. I think a lot of 6 00:00:14,200 --> 00:00:17,080 Speaker 1: people write of center get a little nervous when they 7 00:00:17,120 --> 00:00:20,919 Speaker 1: hear the words criminal justice reform because they assume that's 8 00:00:21,040 --> 00:00:23,360 Speaker 1: just going to let people off. It's the no bail 9 00:00:23,440 --> 00:00:26,840 Speaker 1: Approach's just let people commit crimes and move on, and 10 00:00:26,880 --> 00:00:28,920 Speaker 1: that's not the case. So I wanted people to really 11 00:00:29,040 --> 00:00:31,880 Speaker 1: understand this because it was really one of the top 12 00:00:31,960 --> 00:00:35,320 Speaker 1: reasons I was seeking office in the state of Michigan 13 00:00:35,360 --> 00:00:38,280 Speaker 1: because I've seen our crime level increase, but I've also 14 00:00:38,720 --> 00:00:41,360 Speaker 1: experienced it. I've told the story of experiencing this in 15 00:00:41,400 --> 00:00:44,159 Speaker 1: my own family, where someone goes into prison and then 16 00:00:44,280 --> 00:00:46,839 Speaker 1: they struggle to ever come back into society. And we 17 00:00:46,920 --> 00:00:50,240 Speaker 1: have a strong recidivism or people that are going back 18 00:00:50,280 --> 00:00:53,680 Speaker 1: into the prison system over and over again. And I 19 00:00:53,760 --> 00:00:56,560 Speaker 1: believe that there is a way to use the prison 20 00:00:56,640 --> 00:00:59,240 Speaker 1: system as a way to reform because we know that 21 00:00:59,280 --> 00:01:01,800 Speaker 1: these people are coming back into society. We know that 22 00:01:01,880 --> 00:01:03,840 Speaker 1: most of them ninety five percent of them are going 23 00:01:03,880 --> 00:01:06,240 Speaker 1: to come back into society, and then I believe that 24 00:01:06,319 --> 00:01:09,319 Speaker 1: the number that will go back into prison is around 25 00:01:09,360 --> 00:01:12,000 Speaker 1: eighty percent. So I wanted to bring an expert on 26 00:01:12,200 --> 00:01:15,280 Speaker 1: in this today, so we have Brett Tolman with us. 27 00:01:15,319 --> 00:01:18,399 Speaker 1: He is the executive director of Right on Crime and 28 00:01:18,520 --> 00:01:22,640 Speaker 1: a former US attorney, but also was a leading figure 29 00:01:22,680 --> 00:01:25,959 Speaker 1: and drafting the and the passage of the First Step Act. 30 00:01:25,959 --> 00:01:27,800 Speaker 1: So I wanted to bring Brett on today to talk 31 00:01:27,800 --> 00:01:29,640 Speaker 1: to us a little bit about this and explain this 32 00:01:29,760 --> 00:01:33,200 Speaker 1: to people who don't fully understand what criminal justice reform is. 33 00:01:33,240 --> 00:01:34,880 Speaker 1: So Brett, thank you so much for joining me. 34 00:01:35,360 --> 00:01:36,480 Speaker 2: Thank you tutor for having me. 35 00:01:37,120 --> 00:01:39,759 Speaker 1: Well, first, I want to start with the First Step 36 00:01:39,800 --> 00:01:43,119 Speaker 1: Act because that also has gotten some criticism because I've 37 00:01:43,120 --> 00:01:45,720 Speaker 1: heard folks say, well, people were just let out of prison. 38 00:01:45,800 --> 00:01:47,840 Speaker 1: So if you can go through a little bit about 39 00:01:47,880 --> 00:01:50,560 Speaker 1: your background, you are certainly not someone who came to 40 00:01:50,640 --> 00:01:54,400 Speaker 1: this as someone who is I don't know, I would 41 00:01:54,400 --> 00:01:57,720 Speaker 1: say like ignorant to what crime is. You experienced this 42 00:01:57,800 --> 00:02:00,480 Speaker 1: when you were very young in your own family. You've 43 00:02:00,520 --> 00:02:03,200 Speaker 1: been fighting crime for a very long time. The first 44 00:02:03,240 --> 00:02:05,160 Speaker 1: step back is not letting people off the hook. 45 00:02:06,680 --> 00:02:11,520 Speaker 3: Yeah, Tutor, there's so much misunderstanding about the First Step Act, 46 00:02:11,560 --> 00:02:14,920 Speaker 3: and even among you know, lawmakers, it gets utilized as 47 00:02:15,240 --> 00:02:18,919 Speaker 3: a pawn for whatever political position they want to take. 48 00:02:18,960 --> 00:02:22,240 Speaker 3: When crime seems to rise, then they criticize, you know, 49 00:02:22,400 --> 00:02:26,239 Speaker 3: changes that were made without really the benefit of the 50 00:02:26,320 --> 00:02:27,440 Speaker 3: data involved. 51 00:02:27,960 --> 00:02:29,080 Speaker 2: So you're right. I mean, I. 52 00:02:30,360 --> 00:02:34,800 Speaker 3: Became a prosecutor because we had experienced, you know, a 53 00:02:34,880 --> 00:02:37,560 Speaker 3: tragedy in my family. We had one of my sisters 54 00:02:37,639 --> 00:02:40,600 Speaker 3: was kidnapped and raped when she was in college, and 55 00:02:40,760 --> 00:02:44,360 Speaker 3: it impacted our family in such a devastating way at 56 00:02:44,400 --> 00:02:48,640 Speaker 3: the time. She's incredible now and she's survived it, but 57 00:02:48,680 --> 00:02:51,440 Speaker 3: it took many, many years, and you know, a lot 58 00:02:51,480 --> 00:02:53,800 Speaker 3: of effort on her part. So when I was twelve, 59 00:02:53,840 --> 00:02:55,760 Speaker 3: I was determined I was just going to put bad 60 00:02:55,800 --> 00:02:56,639 Speaker 3: guys in jail. 61 00:02:57,080 --> 00:02:59,799 Speaker 2: That's what I wanted to do, because they don't hurt people. 62 00:03:00,720 --> 00:03:03,840 Speaker 3: And you know, I'm very proud of the work that 63 00:03:03,880 --> 00:03:06,680 Speaker 3: I did when I was a federal prosecutor, and you know, 64 00:03:06,720 --> 00:03:09,000 Speaker 3: when I became the US attorney, the last case I 65 00:03:09,040 --> 00:03:13,600 Speaker 3: did was to prosecute the kidnapper of Elizabeth Smart. Very 66 00:03:13,639 --> 00:03:16,720 Speaker 3: proud of a lot of that work, but I noticed 67 00:03:16,760 --> 00:03:20,040 Speaker 3: something that was that still is very haunting, and that 68 00:03:20,240 --> 00:03:25,720 Speaker 3: is we were not making an impact on crime in 69 00:03:25,760 --> 00:03:29,000 Speaker 3: an individual case. We were making some impact, that's that's 70 00:03:29,040 --> 00:03:33,320 Speaker 3: absolutely true, but there was so little deterrence. And I 71 00:03:33,360 --> 00:03:35,400 Speaker 3: wanted to know what the you know, what the data was, 72 00:03:35,440 --> 00:03:39,120 Speaker 3: and what would actually work to try to drive down crime. 73 00:03:39,200 --> 00:03:41,280 Speaker 2: And so the first step Act I. 74 00:03:41,880 --> 00:03:45,280 Speaker 3: I drafted two predecessor bills, and we tried to get 75 00:03:45,760 --> 00:03:49,040 Speaker 3: something changed under Obama. 76 00:03:48,600 --> 00:03:50,160 Speaker 2: And he was having none of it. 77 00:03:50,560 --> 00:03:52,800 Speaker 3: And when Trump was elected, I thought, well, you know, 78 00:03:53,120 --> 00:03:55,119 Speaker 3: I don't think we're going to get anything done when 79 00:03:55,160 --> 00:03:56,160 Speaker 3: when Trump is president. 80 00:03:56,200 --> 00:03:58,160 Speaker 2: But he saw something that others didn't. 81 00:03:58,920 --> 00:04:03,000 Speaker 3: He saw that if you could implement something to lower crime, 82 00:04:03,400 --> 00:04:04,200 Speaker 3: he wanted to do it. 83 00:04:04,400 --> 00:04:05,120 Speaker 2: Wanted to do it. 84 00:04:05,640 --> 00:04:09,640 Speaker 3: So what we did Tutor is we took conservative states Georgia, 85 00:04:10,360 --> 00:04:14,160 Speaker 3: Texas and we studied some changes that they had made. 86 00:04:14,800 --> 00:04:16,640 Speaker 2: And what they did is very simple formula. 87 00:04:16,920 --> 00:04:21,880 Speaker 3: They incentivized those that were incarcerated by giving them more programming, 88 00:04:22,360 --> 00:04:27,760 Speaker 3: more faith based programming, work programming, education programming, and if 89 00:04:27,760 --> 00:04:31,600 Speaker 3: they committed to do it, they would then allow them 90 00:04:31,640 --> 00:04:36,200 Speaker 3: to be released early. And so it was an incentive 91 00:04:36,200 --> 00:04:39,159 Speaker 3: based program for those that were incarcerated well. 92 00:04:39,000 --> 00:04:42,520 Speaker 1: Released early with skills, they are suddenly they're able to 93 00:04:42,560 --> 00:04:46,400 Speaker 1: take courses in to become an electrician or something like that. 94 00:04:46,480 --> 00:04:48,760 Speaker 1: I think that's where people go, well, wait a minute, 95 00:04:48,760 --> 00:04:52,599 Speaker 1: they just took these classes, but you not only took 96 00:04:52,640 --> 00:04:55,840 Speaker 1: classes that were teaching you how to have a trade 97 00:04:56,240 --> 00:05:00,559 Speaker 1: job or a skilled trade. You're also learning about faith 98 00:05:00,600 --> 00:05:04,680 Speaker 1: and learning about accountability and conviction and changing your life 99 00:05:04,720 --> 00:05:06,200 Speaker 1: and having a higher cause. 100 00:05:07,680 --> 00:05:11,960 Speaker 3: That's right, I mean exactly right. Texas didn't know what 101 00:05:11,960 --> 00:05:14,040 Speaker 3: the result was going to be. They did it out 102 00:05:14,040 --> 00:05:17,480 Speaker 3: of a budget a budget concern, but all of a sudden. 103 00:05:17,279 --> 00:05:19,560 Speaker 1: They because the prisons were costing. 104 00:05:19,240 --> 00:05:21,920 Speaker 3: So much, they were so fold that they made these 105 00:05:22,000 --> 00:05:25,080 Speaker 3: changes based on their cost. Well, all of a sudden 106 00:05:25,600 --> 00:05:28,200 Speaker 3: they started noticing their crime rates to going down. They 107 00:05:28,320 --> 00:05:34,599 Speaker 3: ended up closing eight prisons, saved three billion dollars just 108 00:05:34,640 --> 00:05:36,000 Speaker 3: in the first several years. 109 00:05:36,320 --> 00:05:37,320 Speaker 2: So that's what we did. 110 00:05:37,400 --> 00:05:40,599 Speaker 3: We copied that and we implemented it on the federal 111 00:05:41,200 --> 00:05:45,080 Speaker 3: scale through the first step back and to date, the 112 00:05:45,200 --> 00:05:48,799 Speaker 3: data that we have, the national average is between seventy 113 00:05:48,839 --> 00:05:52,320 Speaker 3: to eighty percent. As you indicated, of recidivism, people that 114 00:05:52,400 --> 00:05:55,400 Speaker 3: come out of prison seventy to eighty percent are back 115 00:05:55,760 --> 00:05:59,400 Speaker 3: in prison within a very short period of time. Those 116 00:05:59,440 --> 00:06:02,320 Speaker 3: that got really least through the programming of the first 117 00:06:02,320 --> 00:06:04,719 Speaker 3: step back. The data that we have now up until 118 00:06:04,760 --> 00:06:10,320 Speaker 3: twenty twenty two, recidivism we're seeing at seventeen percent, and 119 00:06:10,400 --> 00:06:15,000 Speaker 3: if they had more than one risk assessment, we're seeing 120 00:06:15,040 --> 00:06:17,000 Speaker 3: that fall to nine percent. 121 00:06:18,080 --> 00:06:21,120 Speaker 1: So how does it? How do I know that you 122 00:06:21,160 --> 00:06:23,120 Speaker 1: and I have talked about. I have a cousin who 123 00:06:23,800 --> 00:06:27,640 Speaker 1: fell into this situation where he went to prison, came 124 00:06:27,680 --> 00:06:30,320 Speaker 1: out and ended up with the situation of like not 125 00:06:30,360 --> 00:06:32,599 Speaker 1: being able to come back into society. And I'm not 126 00:06:32,680 --> 00:06:35,640 Speaker 1: making excuses for him, but ended up back in prison. 127 00:06:35,720 --> 00:06:39,400 Speaker 1: So we see that recidivism there. My understanding is when 128 00:06:39,400 --> 00:06:41,719 Speaker 1: he comes out, he will go to a halfway house 129 00:06:41,760 --> 00:06:45,599 Speaker 1: before he is able to actually go back and rejoin society. 130 00:06:45,680 --> 00:06:47,760 Speaker 1: Is that part of this? Is that something that you 131 00:06:48,200 --> 00:06:49,520 Speaker 1: see as helpful? 132 00:06:49,760 --> 00:06:53,680 Speaker 3: Yeah, you know there's changes that Rite on crime. Our 133 00:06:53,760 --> 00:06:56,760 Speaker 3: organization is you know, it's named Right on Crime because 134 00:06:56,800 --> 00:07:00,520 Speaker 3: we think that it's the right, the conservatives, it's faith 135 00:07:00,560 --> 00:07:03,360 Speaker 3: based communities, it's those on the right that we think 136 00:07:03,520 --> 00:07:06,599 Speaker 3: ought to be changing the criminal justice system because we're 137 00:07:06,600 --> 00:07:08,800 Speaker 3: going to do it based on data, and we're going 138 00:07:08,839 --> 00:07:11,680 Speaker 3: to do it based on research and not emotion. You know, 139 00:07:11,760 --> 00:07:15,480 Speaker 3: the changes that came because of George Floyd or Breonna Taylor, 140 00:07:15,800 --> 00:07:21,239 Speaker 3: those all were emotion based, reactionary decisions that lawmakers made, 141 00:07:21,520 --> 00:07:24,880 Speaker 3: and they jeopardize public safety when you make those kinds 142 00:07:24,880 --> 00:07:26,480 Speaker 3: of and when you make changes based on emotion. 143 00:07:26,840 --> 00:07:28,280 Speaker 2: You look at New York right. 144 00:07:28,200 --> 00:07:32,920 Speaker 3: Now, they did away with bail, Well, what happened. Their 145 00:07:33,040 --> 00:07:37,000 Speaker 3: crime rate is soaring. They're letting people out that should 146 00:07:37,040 --> 00:07:42,160 Speaker 3: be detained prior to their trial, and it's causing it's 147 00:07:42,200 --> 00:07:45,520 Speaker 3: wreaking havoc in the city. So what we do is 148 00:07:45,560 --> 00:07:49,920 Speaker 3: we look for ways to fix a problem without jeopardizing 149 00:07:49,960 --> 00:07:53,840 Speaker 3: public safety and without compromising the rights of victims. So 150 00:07:54,080 --> 00:07:58,000 Speaker 3: in the instance where you have you have lawmakers that say, 151 00:07:58,120 --> 00:08:01,400 Speaker 3: let's get rid of all bail in and we say, okay, 152 00:08:01,800 --> 00:08:05,640 Speaker 3: let's give judges greater flexibility so they can detain someone 153 00:08:05,680 --> 00:08:10,400 Speaker 3: who's dangerous. But then let's also put this into place 154 00:08:10,440 --> 00:08:13,680 Speaker 3: a system that would not punish individuals just because they 155 00:08:14,120 --> 00:08:19,000 Speaker 3: don't have money. And so you have to reach a thoughtful, 156 00:08:19,160 --> 00:08:21,560 Speaker 3: you know, decision on a lot of these areas and 157 00:08:22,120 --> 00:08:24,280 Speaker 3: The most important work that we do is on the 158 00:08:24,360 --> 00:08:27,160 Speaker 3: back end, when people are getting out, what do we 159 00:08:27,280 --> 00:08:32,000 Speaker 3: do to assist them? And it ranges from big, you know, 160 00:08:32,120 --> 00:08:34,520 Speaker 3: dynamic changes that have to be made to some of 161 00:08:34,559 --> 00:08:37,480 Speaker 3: the simplest things that you and I tutor, we would 162 00:08:37,600 --> 00:08:40,280 Speaker 3: scratch our head and go, wow, that's so simple. For example, 163 00:08:41,040 --> 00:08:45,160 Speaker 3: there was a prison system that was releasing people between 164 00:08:45,200 --> 00:08:47,960 Speaker 3: twelve am and one am when they were finished with 165 00:08:48,000 --> 00:08:52,320 Speaker 3: their sentence. So we got them to release them prior 166 00:08:52,360 --> 00:08:55,760 Speaker 3: to noon, and the crime rate went down and recidivism 167 00:08:55,840 --> 00:08:59,320 Speaker 3: rate went down in the area areas where they were 168 00:08:59,360 --> 00:09:04,200 Speaker 3: being released because nobody has so few have a support system, 169 00:09:04,240 --> 00:09:07,319 Speaker 3: so when they're getting out at twelve am or one am, 170 00:09:07,559 --> 00:09:12,000 Speaker 3: there was more susceptibility to criminal behavior at that time. 171 00:09:12,080 --> 00:09:15,880 Speaker 3: So some of the changes that we study states and 172 00:09:15,920 --> 00:09:18,600 Speaker 3: we find out what's going, what's working, and then we 173 00:09:18,640 --> 00:09:21,440 Speaker 3: try to help and implement them so that the states 174 00:09:21,800 --> 00:09:25,200 Speaker 3: can benefit from one another. It's shocking how little they 175 00:09:25,360 --> 00:09:27,680 Speaker 3: understand about what neighboring states are doing. 176 00:09:28,640 --> 00:09:32,560 Speaker 1: Yeah, I think that we've seen in Michigan. Well, when 177 00:09:32,559 --> 00:09:34,960 Speaker 1: I was running for office, I talked to several of 178 00:09:34,960 --> 00:09:39,320 Speaker 1: our police officers here and our corrections officers, and they 179 00:09:39,360 --> 00:09:42,240 Speaker 1: were really struggling with the fact that they were getting 180 00:09:42,280 --> 00:09:47,320 Speaker 1: people in that were somebody who required more mental health 181 00:09:47,480 --> 00:09:50,760 Speaker 1: then they could provide. They didn't have the capacity to 182 00:09:50,840 --> 00:09:54,160 Speaker 1: provide mental health care for these people. And so we 183 00:09:54,200 --> 00:09:57,240 Speaker 1: also don't have the beds at our state run mental 184 00:09:57,240 --> 00:10:02,520 Speaker 1: health facilities, and so I wonder how you manage that situation. 185 00:10:02,640 --> 00:10:05,280 Speaker 1: So in Michigan, in the last few years, I would 186 00:10:05,320 --> 00:10:08,360 Speaker 1: say in the last six years, crime has increased. We've 187 00:10:08,400 --> 00:10:11,559 Speaker 1: now become we're listed as the second most violent state 188 00:10:11,600 --> 00:10:14,880 Speaker 1: in the country. We have I think five of the 189 00:10:14,920 --> 00:10:18,480 Speaker 1: top twenty most dangerous cities in the country. We obviously 190 00:10:18,559 --> 00:10:21,719 Speaker 1: have prosecutors that are not putting people in jail. Our 191 00:10:21,800 --> 00:10:26,840 Speaker 1: prisons are so full though that we have the corrections 192 00:10:26,840 --> 00:10:29,160 Speaker 1: officers union just reached out to the governor and said, 193 00:10:29,160 --> 00:10:31,720 Speaker 1: can you please bring the National Garden because we can't 194 00:10:31,720 --> 00:10:34,080 Speaker 1: handle what's going on in the prisons. She declined that 195 00:10:34,280 --> 00:10:37,440 Speaker 1: she said no to that. So what do you do 196 00:10:37,520 --> 00:10:40,800 Speaker 1: in that situation when you have a state where prisons 197 00:10:40,800 --> 00:10:43,200 Speaker 1: are full, jails are also full. And this is something 198 00:10:43,240 --> 00:10:46,000 Speaker 1: that we spoke to a lot of our police officers 199 00:10:46,040 --> 00:10:49,120 Speaker 1: about when I was running is that there's no space 200 00:10:49,240 --> 00:10:52,199 Speaker 1: in the prisons, or they don't want to put people 201 00:10:52,240 --> 00:10:54,960 Speaker 1: in the prisons because they don't want to have that record. 202 00:10:55,160 --> 00:10:57,800 Speaker 1: I mean, you can't even make this stuff up. The 203 00:10:57,880 --> 00:11:00,680 Speaker 1: Democrats don't want the record of having more people in prison, 204 00:11:01,000 --> 00:11:02,960 Speaker 1: so they leave them in jail because they don't go 205 00:11:03,160 --> 00:11:08,199 Speaker 1: on that statistic. You can't post that then, so they 206 00:11:08,280 --> 00:11:13,600 Speaker 1: leave these criminals that have mental health problems in the jails. 207 00:11:13,760 --> 00:11:17,040 Speaker 1: They can't manage them in the jails. The prisons they're struggling. 208 00:11:17,160 --> 00:11:20,320 Speaker 1: There's no mental health facilities. When you look at that, 209 00:11:20,480 --> 00:11:22,040 Speaker 1: I mean, that seems like a lot when you look 210 00:11:22,080 --> 00:11:24,520 Speaker 1: at that from the right on crime perspective, what would 211 00:11:24,559 --> 00:11:26,320 Speaker 1: you come in in overhaul? Because I think this is 212 00:11:26,360 --> 00:11:28,440 Speaker 1: the story for a lot of blue states, and so 213 00:11:28,480 --> 00:11:30,400 Speaker 1: those folks keep going back on on the streets. 214 00:11:30,840 --> 00:11:33,800 Speaker 3: Yeah, you highlight exactly what's going on in a lot 215 00:11:33,800 --> 00:11:37,560 Speaker 3: of blue states. Ironically, there's a blue city that is 216 00:11:37,600 --> 00:11:41,840 Speaker 3: doing the exact opposite and they're being they're quite successful, 217 00:11:41,880 --> 00:11:43,640 Speaker 3: and that's Dallas. 218 00:11:43,679 --> 00:11:46,400 Speaker 2: It's crazy to compare and contrast. 219 00:11:46,640 --> 00:11:51,000 Speaker 3: So there you have an acknowledgment that they have to 220 00:11:51,040 --> 00:11:54,600 Speaker 3: put resources into mental health issues. You also have a 221 00:11:54,679 --> 00:11:59,000 Speaker 3: police force that has developed hot spot policing and they 222 00:11:59,120 --> 00:12:02,120 Speaker 3: dump and pour resources in and they have the buy 223 00:12:02,160 --> 00:12:04,160 Speaker 3: in from the political leaders, and they have the buy 224 00:12:04,200 --> 00:12:10,120 Speaker 3: in from the prosecutors. And what they focus on is 225 00:12:10,160 --> 00:12:13,480 Speaker 3: the violent, the most violent, and they go after all 226 00:12:13,520 --> 00:12:17,520 Speaker 3: of them, and they pour resources in getting the violent 227 00:12:17,920 --> 00:12:21,680 Speaker 3: individuals off the street. And then they take a different approach, 228 00:12:23,040 --> 00:12:26,720 Speaker 3: more of a community based approach to those that are 229 00:12:26,720 --> 00:12:30,480 Speaker 3: dealing with the mental health and they're dealing with drug addiction, 230 00:12:31,360 --> 00:12:37,920 Speaker 3: and they're running very robust drug interdiction programs and rehabilitation programs. So, 231 00:12:38,679 --> 00:12:41,600 Speaker 3: I mean, nowhere is perfect, but I think about what 232 00:12:41,720 --> 00:12:45,360 Speaker 3: Dallas is doing, and the model is there. 233 00:12:46,320 --> 00:12:47,280 Speaker 2: It can be done. 234 00:12:48,120 --> 00:12:51,440 Speaker 3: But if you have prosecutors that refuse to prosecute, or 235 00:12:51,480 --> 00:12:54,720 Speaker 3: you're not coordinating, and you're not going after the most violent, 236 00:12:55,160 --> 00:12:58,320 Speaker 3: and let's face it, there are individuals that need to 237 00:12:58,360 --> 00:13:02,360 Speaker 3: be locked away, and the left in their criminal justice 238 00:13:02,360 --> 00:13:06,960 Speaker 3: reform efforts, they don't agree with that. They they are 239 00:13:07,320 --> 00:13:12,079 Speaker 3: drawing lines sometimes by race or or they're drawing lines 240 00:13:12,160 --> 00:13:16,959 Speaker 3: by community and their artificial and they're not focusing on 241 00:13:17,200 --> 00:13:20,440 Speaker 3: the one simple mission that criminal justice system has, and 242 00:13:20,520 --> 00:13:23,320 Speaker 3: that is to ensure the safety of its citizens. And 243 00:13:23,400 --> 00:13:28,240 Speaker 3: so there's there's there's things that I see in different cities. 244 00:13:28,280 --> 00:13:33,280 Speaker 3: And when you talk about Dallas, their crime rate is 245 00:13:33,880 --> 00:13:37,800 Speaker 3: following plummeting right now, and and you compare that to 246 00:13:37,880 --> 00:13:41,160 Speaker 3: Houston or to Detroit or Chicago, and these these are 247 00:13:41,240 --> 00:13:46,120 Speaker 3: liberal cities that are not taking a thoughtful approach. They 248 00:13:46,160 --> 00:13:49,439 Speaker 3: are not locking everybody up, and they're not putting everyone 249 00:13:49,600 --> 00:13:52,600 Speaker 3: in jail. What they're doing is they're putting the most 250 00:13:52,679 --> 00:13:55,680 Speaker 3: violent in jail and sending a very strong message that 251 00:13:55,720 --> 00:13:58,400 Speaker 3: they're not going to tolerate it. And until that happens, 252 00:13:58,960 --> 00:14:02,079 Speaker 3: will continue to suffer from really bad policies that the 253 00:14:02,160 --> 00:14:03,360 Speaker 3: left are pushing. 254 00:14:03,520 --> 00:14:06,440 Speaker 1: Hey stick around for more of my interview with Brett Tolman, 255 00:14:06,520 --> 00:14:08,720 Speaker 1: But first I want to tell you about my partners 256 00:14:08,720 --> 00:14:11,560 Speaker 1: at Bond Arms. As everyone knows, I'm a firm believer 257 00:14:11,640 --> 00:14:14,760 Speaker 1: in our god given Second Amendment rights. 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I think 278 00:15:24,640 --> 00:15:29,000 Speaker 1: that obviously, as we watch Kamala Harris bring her campaign 279 00:15:29,080 --> 00:15:32,840 Speaker 1: to the forefront and now she is essentially the nominee 280 00:15:32,840 --> 00:15:36,320 Speaker 1: for the Democrat Party in being one of those kind 281 00:15:36,360 --> 00:15:39,920 Speaker 1: of radical prosecutors, and she's been out there saying, you know, 282 00:15:39,960 --> 00:15:42,720 Speaker 1: she's been funding these these people that are committing crimes. 283 00:15:42,720 --> 00:15:46,120 Speaker 1: She's asking people to fund them. She is pretty radical 284 00:15:46,200 --> 00:15:48,880 Speaker 1: on this stuff. And you bring and so I think 285 00:15:48,880 --> 00:15:51,320 Speaker 1: that if you look at the Democrat Party, this is 286 00:15:51,680 --> 00:15:54,280 Speaker 1: now essentially the head of the Democrat Party who is 287 00:15:54,400 --> 00:15:57,600 Speaker 1: a soft on crime prosecutor. And then you take a 288 00:15:57,640 --> 00:16:00,280 Speaker 1: state like Michigan, for example, you talk about these people 289 00:16:00,280 --> 00:16:02,960 Speaker 1: that are locked up, and I think that there are 290 00:16:03,040 --> 00:16:07,400 Speaker 1: cases where we can lock people up and they can 291 00:16:07,440 --> 00:16:10,600 Speaker 1: go through a reform, or there are people that potentially 292 00:16:10,640 --> 00:16:13,120 Speaker 1: should not be back out on the streets. And so 293 00:16:13,200 --> 00:16:15,560 Speaker 1: in the state of Michigan, in the last thirty days, 294 00:16:15,720 --> 00:16:18,520 Speaker 1: we've had three police officers killed in a line of duty. 295 00:16:19,160 --> 00:16:22,400 Speaker 1: One the first one was in Detroit. They had chased 296 00:16:22,840 --> 00:16:25,120 Speaker 1: or they'd found guys that had stolen a car. I 297 00:16:25,120 --> 00:16:27,720 Speaker 1: believe this is they were looking for the stolen car 298 00:16:27,920 --> 00:16:29,960 Speaker 1: and it was an ambush and they killed a young 299 00:16:30,000 --> 00:16:34,720 Speaker 1: father of five. And then another one in Hillsdale, Michigan, 300 00:16:34,920 --> 00:16:38,240 Speaker 1: where just a guy came out and they were chasing 301 00:16:38,320 --> 00:16:41,680 Speaker 1: him down and he killed another father. Oh no, the 302 00:16:41,720 --> 00:16:44,040 Speaker 1: first was a father four. This is a father of five. 303 00:16:44,680 --> 00:16:48,160 Speaker 1: And most recently, just last week, we had a young 304 00:16:48,200 --> 00:16:51,800 Speaker 1: twenty three year old police officer who was killed by 305 00:16:51,840 --> 00:16:54,600 Speaker 1: a man who had just been released from prison, and 306 00:16:54,720 --> 00:16:57,520 Speaker 1: he had been in prison for twelve years. He had 307 00:16:57,560 --> 00:17:01,720 Speaker 1: just been released from prison. He came out and killed 308 00:17:01,880 --> 00:17:05,879 Speaker 1: this police officer. So we see that we have this problem, 309 00:17:05,880 --> 00:17:08,399 Speaker 1: and I think it's highlighted when it's police officers. The 310 00:17:08,440 --> 00:17:10,720 Speaker 1: scary thing that I think that we're seeing in the 311 00:17:10,720 --> 00:17:13,680 Speaker 1: state of Michigan is that we've had more mass shootings 312 00:17:13,960 --> 00:17:18,800 Speaker 1: than we've ever had since twenty twenty one, well since 313 00:17:18,840 --> 00:17:22,120 Speaker 1: twenty eighteen, especially, the mass shootings have gone up two 314 00:17:22,119 --> 00:17:23,760 Speaker 1: and a half times what we've ever seen. We had 315 00:17:23,800 --> 00:17:27,600 Speaker 1: the largest mass shooting in the state's history over fourth 316 00:17:27,600 --> 00:17:31,840 Speaker 1: of July. I have to tell you there is a 317 00:17:32,040 --> 00:17:35,359 Speaker 1: situation where these are in poor neighborhoods. These are in 318 00:17:35,600 --> 00:17:40,520 Speaker 1: minority neighborhoods, and the media is it's crickets. They don't 319 00:17:40,520 --> 00:17:43,560 Speaker 1: cover it. They don't the governor doesn't talk about it. 320 00:17:43,720 --> 00:17:47,160 Speaker 1: The governor, I mean the stark difference between us having 321 00:17:47,440 --> 00:17:50,680 Speaker 1: a shooting in a wealthy white community. Just a few 322 00:17:50,720 --> 00:17:53,639 Speaker 1: weeks before this mass shooting in Detroit, the governor was 323 00:17:53,720 --> 00:17:57,600 Speaker 1: tweeting about the first one at the Secretary of State, 324 00:17:57,760 --> 00:18:01,000 Speaker 1: the New York Times, everybody's talking about this, and you 325 00:18:01,040 --> 00:18:03,919 Speaker 1: see this happen in quite frankly, the black community. It 326 00:18:04,000 --> 00:18:08,680 Speaker 1: is crickets in the media. And I believe that because 327 00:18:08,720 --> 00:18:12,280 Speaker 1: of that, that's why no one is addressing the issue. 328 00:18:12,320 --> 00:18:14,720 Speaker 1: They refuse to even look at it. And so how 329 00:18:14,760 --> 00:18:17,600 Speaker 1: do the Kamala Harrises and the Gretchen Witmers of the 330 00:18:17,640 --> 00:18:22,240 Speaker 1: world justify this view when it is hurting our most 331 00:18:22,320 --> 00:18:23,880 Speaker 1: vulnerable communities the worst. 332 00:18:24,359 --> 00:18:26,639 Speaker 3: Well, you talk to those that are in the community, 333 00:18:26,760 --> 00:18:30,600 Speaker 3: it's it's crazy what you hear and the disconnect between 334 00:18:30,640 --> 00:18:33,560 Speaker 3: them and the people that they vote for. They want 335 00:18:33,640 --> 00:18:38,000 Speaker 3: more police presence, they want fair police policing, but they 336 00:18:38,040 --> 00:18:41,840 Speaker 3: want more of it. They want protection, they want consequences. 337 00:18:42,160 --> 00:18:45,200 Speaker 3: You know, it's it's not there's not one simple solution 338 00:18:45,359 --> 00:18:48,560 Speaker 3: to that issue. We certainly have to we have to 339 00:18:48,600 --> 00:18:53,400 Speaker 3: get back to you know, strong traditional families and values, 340 00:18:53,440 --> 00:18:56,000 Speaker 3: and you have to have fathers, mothers and fathers in 341 00:18:56,080 --> 00:18:59,120 Speaker 3: the homes. And a lot of these communities, you know, 342 00:18:59,359 --> 00:19:03,600 Speaker 3: the have been put in prison, they're incarcerated. There's a 343 00:19:03,640 --> 00:19:08,360 Speaker 3: cycle of incarceration that goes from you know, youth to adulthood. 344 00:19:08,920 --> 00:19:13,840 Speaker 3: There's there's an awaking, that awakening that I do see, 345 00:19:14,280 --> 00:19:17,000 Speaker 3: but I really look forward to the day in which, 346 00:19:17,200 --> 00:19:21,120 Speaker 3: you know, the black community and other minority communities say hey, 347 00:19:21,280 --> 00:19:24,120 Speaker 3: we're done and we're tired of just being used by 348 00:19:24,160 --> 00:19:29,520 Speaker 3: the left. We want to see we want to see resources, 349 00:19:29,600 --> 00:19:32,119 Speaker 3: we want to see attention, and we want to be 350 00:19:32,200 --> 00:19:33,200 Speaker 3: part of the solution. 351 00:19:34,720 --> 00:19:37,480 Speaker 1: But if you've seen this in Dallas, if you've seen 352 00:19:37,960 --> 00:19:41,879 Speaker 1: the communities that have gone from high crime communities to 353 00:19:42,720 --> 00:19:46,920 Speaker 1: lower recidivism obviously the lower crime rates, then why don't 354 00:19:46,920 --> 00:19:50,800 Speaker 1: you say that a program like you're talking about would 355 00:19:50,920 --> 00:19:55,840 Speaker 1: ultimately change how family is seen in communities. If family 356 00:19:55,880 --> 00:19:58,560 Speaker 1: is there, I mean, the reality is if dads are 357 00:19:58,600 --> 00:20:00,680 Speaker 1: in the community, then the communit and he is going 358 00:20:00,720 --> 00:20:03,919 Speaker 1: to have a different impact on children, you know, So 359 00:20:03,960 --> 00:20:06,200 Speaker 1: why don't you say that if you can reform people 360 00:20:06,480 --> 00:20:09,639 Speaker 1: knowing that we're going to end up with probably a 361 00:20:09,720 --> 00:20:13,639 Speaker 1: decade to go through this and try to create this 362 00:20:13,760 --> 00:20:16,920 Speaker 1: reform and change this, but ultimately you see a community 363 00:20:16,960 --> 00:20:21,280 Speaker 1: that is safer and families that are together, and the. 364 00:20:21,160 --> 00:20:24,720 Speaker 3: Real goal of all this effort that you know, myself 365 00:20:24,760 --> 00:20:28,760 Speaker 3: and others, you and everyone that's highlighting need for change, 366 00:20:29,080 --> 00:20:32,600 Speaker 3: the real goal is is that recidivism if we can 367 00:20:32,640 --> 00:20:34,760 Speaker 3: get it across the country. And I say this all 368 00:20:34,760 --> 00:20:36,840 Speaker 3: the time that I'm going to do this until the 369 00:20:36,880 --> 00:20:39,720 Speaker 3: day I die, But I think we can get recidivism 370 00:20:39,720 --> 00:20:43,280 Speaker 3: in this country below twenty percent across the country. If 371 00:20:43,280 --> 00:20:45,240 Speaker 3: we do that, there will be more fathers in the home, 372 00:20:45,280 --> 00:20:48,520 Speaker 3: there will be more families that are there. In Saint 373 00:20:48,560 --> 00:20:51,960 Speaker 3: Louis many years ago tout there was a police officer 374 00:20:52,760 --> 00:20:57,000 Speaker 3: and a prosecutor. They lived in the communities where they worked. 375 00:20:57,720 --> 00:21:04,119 Speaker 3: They developed a and it was very simple. They would find, 376 00:21:04,400 --> 00:21:07,119 Speaker 3: you know, an individual committing crime, they would document it, 377 00:21:07,200 --> 00:21:09,879 Speaker 3: put the case together, and then they would ask for 378 00:21:09,920 --> 00:21:12,119 Speaker 3: a meeting and they would sit down with the end 379 00:21:12,160 --> 00:21:15,440 Speaker 3: of the target and his family and they would say, 380 00:21:15,440 --> 00:21:17,960 Speaker 3: here's the case we have against you. We will not 381 00:21:18,080 --> 00:21:21,280 Speaker 3: bring this case if you'll commit to stop doing crime. 382 00:21:21,960 --> 00:21:25,000 Speaker 3: And the fact that the family was there and it 383 00:21:25,040 --> 00:21:27,840 Speaker 3: was all sort of exposed, they saw in this little 384 00:21:27,840 --> 00:21:31,399 Speaker 3: little teeny area recidivism fall well below twenty percent. 385 00:21:32,480 --> 00:21:32,720 Speaker 2: Wow. 386 00:21:32,880 --> 00:21:35,840 Speaker 3: It was It was just a thinking in a different 387 00:21:35,840 --> 00:21:38,919 Speaker 3: way and approaching it in a different way that I 388 00:21:38,960 --> 00:21:41,960 Speaker 3: think we can replicate many of these things across the country. 389 00:21:42,440 --> 00:21:44,359 Speaker 3: But it does start with the family, and it starts 390 00:21:44,400 --> 00:21:47,880 Speaker 3: with a strong commitment by those in the community they 391 00:21:47,920 --> 00:21:50,920 Speaker 3: live to actually change it, and then they will and 392 00:21:51,359 --> 00:21:52,959 Speaker 3: it has to Saint Louis and others. 393 00:21:53,320 --> 00:21:56,040 Speaker 1: It has to be a true reduction in recidivism, because 394 00:21:56,040 --> 00:21:58,440 Speaker 1: if you look at the rates in Michigan, they don't 395 00:21:58,440 --> 00:22:00,639 Speaker 1: look that bad. But that's because as we are not 396 00:22:00,720 --> 00:22:04,639 Speaker 1: putting criminals in jail, they're not going to prison and 397 00:22:04,680 --> 00:22:06,919 Speaker 1: they should be. Like I said, oftentimes they're staying in 398 00:22:06,960 --> 00:22:09,520 Speaker 1: jail and then they if they don't hit the prison role, 399 00:22:09,880 --> 00:22:13,159 Speaker 1: then they don't get listed as recidivism. And so I 400 00:22:13,160 --> 00:22:15,320 Speaker 1: think that there is a manipulation. I mean, we know 401 00:22:15,359 --> 00:22:17,719 Speaker 1: there's a manipulation of the numbers. We know that in 402 00:22:17,800 --> 00:22:20,960 Speaker 1: twenty twenty two it came out that the city of 403 00:22:21,000 --> 00:22:24,560 Speaker 1: Detroit had manipulated the FBI's numbers. So we know that 404 00:22:24,600 --> 00:22:27,200 Speaker 1: there is an attempt to manipulate the numbers to make 405 00:22:27,240 --> 00:22:29,720 Speaker 1: it look better. We know that if they had been 406 00:22:29,720 --> 00:22:34,320 Speaker 1: tougher on the MSU shooting shooter before that happened, that 407 00:22:34,440 --> 00:22:36,400 Speaker 1: may not have happened. And that's something that I think 408 00:22:36,440 --> 00:22:38,239 Speaker 1: frustrates me about the Left is that we hear all 409 00:22:38,320 --> 00:22:41,360 Speaker 1: the time. Gun violence, gun violence, gun violence, and we've 410 00:22:41,359 --> 00:22:44,080 Speaker 1: got to get rid of guns. But the fact is 411 00:22:44,119 --> 00:22:47,960 Speaker 1: that if you were actually to prosecute these crimes, it's 412 00:22:48,000 --> 00:22:50,600 Speaker 1: not legal. I mean, that's the most bizarre thing. The 413 00:22:50,640 --> 00:22:53,199 Speaker 1: way they talk about it is like, well, this is legal, 414 00:22:53,400 --> 00:22:56,359 Speaker 1: so we have to make it illegal. No, it's always illegal. 415 00:22:56,560 --> 00:22:59,000 Speaker 1: It's the fact that they don't prosecute the people who 416 00:22:59,040 --> 00:23:01,720 Speaker 1: are committing the crime. And so I think that is 417 00:23:01,880 --> 00:23:04,119 Speaker 1: key as well. And that kind of brings me to 418 00:23:04,240 --> 00:23:08,080 Speaker 1: Kamala Harris, who we don't know much about. She's now 419 00:23:08,600 --> 00:23:13,360 Speaker 1: the presidential nominee for the Democrat Party. She's essentially our 420 00:23:13,440 --> 00:23:17,040 Speaker 1: president because we don't know what's happening with Joe Biden, 421 00:23:17,600 --> 00:23:21,960 Speaker 1: and as we look at this coming presidential election, we 422 00:23:22,040 --> 00:23:24,960 Speaker 1: don't know much about her. But to me, I think 423 00:23:25,000 --> 00:23:28,280 Speaker 1: that we know the country is looking at crime as 424 00:23:28,320 --> 00:23:30,520 Speaker 1: a number one issue. It's a top issue for the 425 00:23:30,520 --> 00:23:34,440 Speaker 1: country going into this election. People don't know who she is, 426 00:23:34,520 --> 00:23:39,240 Speaker 1: and they are billing her as this top prosecutor against 427 00:23:39,280 --> 00:23:42,600 Speaker 1: a criminal. This is the new line. You know, she 428 00:23:42,800 --> 00:23:47,159 Speaker 1: is the pro safe, public safety, she is the anti crime, 429 00:23:47,280 --> 00:23:50,080 Speaker 1: and Donald Trump is the other. So what do you 430 00:23:50,280 --> 00:23:53,520 Speaker 1: know about Kamala Harrison. How scared do you think we 431 00:23:53,560 --> 00:23:57,360 Speaker 1: should be when it comes to her facing the country 432 00:23:57,400 --> 00:23:58,840 Speaker 1: and her policies on crime. 433 00:24:00,560 --> 00:24:03,960 Speaker 3: She has been awful in every position she's ever held. 434 00:24:04,840 --> 00:24:10,360 Speaker 3: When she was a prosecutor, she was unethical. She made 435 00:24:10,440 --> 00:24:16,560 Speaker 3: decisions based on on political. 436 00:24:14,760 --> 00:24:17,000 Speaker 2: Expediency and convenience. 437 00:24:17,640 --> 00:24:25,040 Speaker 3: She she was notorious in terms of of crossing lines. 438 00:24:25,400 --> 00:24:26,240 Speaker 2: What do I mean by that? 439 00:24:26,280 --> 00:24:30,440 Speaker 3: She she would leave people in jail in order to 440 00:24:30,600 --> 00:24:34,040 Speaker 3: utilize their work, a workforce. 441 00:24:35,200 --> 00:24:40,800 Speaker 2: She was slave labor stuff. 442 00:24:40,840 --> 00:24:44,960 Speaker 3: She knew that there was an individual that was exonerated 443 00:24:45,800 --> 00:24:51,280 Speaker 3: and she fought to keep him imprisoned. And these stories 444 00:24:51,280 --> 00:24:53,520 Speaker 3: you can find there that you can find these stories. 445 00:24:53,520 --> 00:24:57,400 Speaker 3: So what I what I've shocked about is her being 446 00:24:57,440 --> 00:25:00,000 Speaker 3: built as a prosecutor. She was a really bad prospers, 447 00:25:00,280 --> 00:25:03,560 Speaker 3: really unethical prosecutor. Now she's flipped, she's all the way 448 00:25:03,560 --> 00:25:06,679 Speaker 3: on the other side, and she's embraced this notion on 449 00:25:06,760 --> 00:25:12,600 Speaker 3: the left that we shouldn't prosecute certain crimes and we're 450 00:25:12,600 --> 00:25:14,680 Speaker 3: going to let people out out of prison and out 451 00:25:14,720 --> 00:25:15,119 Speaker 3: of jail. 452 00:25:15,600 --> 00:25:16,320 Speaker 2: Will she do that? 453 00:25:16,800 --> 00:25:19,360 Speaker 3: I have no idea but her solution if it's going 454 00:25:19,400 --> 00:25:22,000 Speaker 3: to mimic some of the prosecutors across this country that 455 00:25:22,040 --> 00:25:26,840 Speaker 3: are refusing to prosecute crimes. Right now, Tutor, we are 456 00:25:26,880 --> 00:25:30,280 Speaker 3: only resolving less than forty percent of homicide cases in 457 00:25:30,320 --> 00:25:33,440 Speaker 3: this country and less than twenty percent rape cases. 458 00:25:33,880 --> 00:25:36,600 Speaker 1: Let's take a quick commercial break. We'll continue next on 459 00:25:36,640 --> 00:25:42,520 Speaker 1: the Tutor Dixon Podcast. That is something we have a 460 00:25:42,600 --> 00:25:45,280 Speaker 1: major problem within the state of Michigan. And so if 461 00:25:45,280 --> 00:25:47,080 Speaker 1: you are in a blue state, you're probably in a 462 00:25:47,080 --> 00:25:50,879 Speaker 1: similar situation. We have two crime labs, one one major 463 00:25:50,960 --> 00:25:53,359 Speaker 1: crime lab in the state of Michigan, really one that 464 00:25:53,640 --> 00:25:58,000 Speaker 1: processes the majority of rape kits. It's so it's so 465 00:25:58,280 --> 00:26:02,240 Speaker 1: overtaxed that there is no way to actually find the 466 00:26:02,280 --> 00:26:05,480 Speaker 1: people who are committing these crimes and take them into 467 00:26:05,480 --> 00:26:07,919 Speaker 1: prison and stop this from happening. And so as I 468 00:26:08,000 --> 00:26:12,080 Speaker 1: hear Democrats talking about, well, my gosh, what if somebody's rape, 469 00:26:12,119 --> 00:26:14,879 Speaker 1: you've got to be pro abortion, pro abortion, pro abortion, 470 00:26:15,160 --> 00:26:18,040 Speaker 1: I think this is because you know, you are letting 471 00:26:18,160 --> 00:26:21,800 Speaker 1: rapists run wild in these states. In our state, we 472 00:26:21,960 --> 00:26:25,800 Speaker 1: are number five for rapes per capita in the entire country, 473 00:26:25,840 --> 00:26:29,359 Speaker 1: the state of Michigan, and we are so overtaxed because 474 00:26:29,359 --> 00:26:32,359 Speaker 1: we have so little capacity in our crime lab, And 475 00:26:32,440 --> 00:26:35,760 Speaker 1: yet in the state of Michigan, we continue to just 476 00:26:36,000 --> 00:26:39,800 Speaker 1: pile on these projects into the budget that are going 477 00:26:39,840 --> 00:26:42,960 Speaker 1: into rich communities, rich communities that are getting things like 478 00:26:43,000 --> 00:26:46,000 Speaker 1: our lacrosse field, and you think, oh gosh, these people 479 00:26:46,200 --> 00:26:48,760 Speaker 1: can afford their community can afford to do this. This 480 00:26:48,800 --> 00:26:51,040 Speaker 1: shouldn't be coming out of the state budget. The state 481 00:26:51,080 --> 00:26:54,000 Speaker 1: budget should be for critical things like a crime lab. 482 00:26:54,040 --> 00:26:57,119 Speaker 1: Another we only have one in Detroit, one in Oakland County. 483 00:26:57,119 --> 00:26:59,280 Speaker 1: They're very close to each other. Why can't we have 484 00:26:59,320 --> 00:27:01,040 Speaker 1: one on the west side. Why can't we have one 485 00:27:01,040 --> 00:27:03,919 Speaker 1: in northern Michigan. Why aren't we trying to divvy this 486 00:27:04,119 --> 00:27:07,000 Speaker 1: up so that we have more people investigating crimes and 487 00:27:07,080 --> 00:27:09,800 Speaker 1: making this state safer. But it's just not important. 488 00:27:10,359 --> 00:27:14,119 Speaker 3: Yeah, you've hit on the exact problem of having, you know, 489 00:27:14,119 --> 00:27:16,960 Speaker 3: the governor that you have, or having Harris as the president. 490 00:27:17,320 --> 00:27:19,480 Speaker 3: On a national scale, we will start to see the 491 00:27:19,520 --> 00:27:23,280 Speaker 3: same decision making. They don't pour resources into targeting the 492 00:27:23,320 --> 00:27:26,120 Speaker 3: most violent in our in our communities. If they did that, 493 00:27:26,720 --> 00:27:31,200 Speaker 3: you would be shocked at how how you know the restoration, 494 00:27:31,280 --> 00:27:34,000 Speaker 3: how quickly the restoration in these cities like Chicago and 495 00:27:34,040 --> 00:27:38,159 Speaker 3: Detroit and others would happen, and it would be you know, 496 00:27:38,200 --> 00:27:41,959 Speaker 3: it'd be spectacular to watch that happen, But they won't 497 00:27:42,320 --> 00:27:47,080 Speaker 3: because they prioritize politics over actually the substantive work that 498 00:27:47,160 --> 00:27:50,120 Speaker 3: has to be done, so until we get leaders in 499 00:27:50,680 --> 00:27:53,159 Speaker 3: that want to do that. So that's why Donald Trump. 500 00:27:53,440 --> 00:27:56,639 Speaker 3: You know, if you don't like Donald Trump, because you 501 00:27:56,680 --> 00:27:59,600 Speaker 3: know you don't like what he tweets or his personality, 502 00:28:00,119 --> 00:28:04,200 Speaker 3: what you do after respect is he's not bound by 503 00:28:04,280 --> 00:28:07,760 Speaker 3: the political handcuffs that the left is, and so when 504 00:28:07,760 --> 00:28:10,639 Speaker 3: it comes to criminal justice, he can actually be tough 505 00:28:10,880 --> 00:28:14,359 Speaker 3: on the issue it's where you're supposed to be tough, 506 00:28:14,560 --> 00:28:16,760 Speaker 3: but he can also come up with solutions like the 507 00:28:16,800 --> 00:28:20,320 Speaker 3: first Step Back that give the community peace and hope. 508 00:28:20,040 --> 00:28:23,080 Speaker 3: Why do you have an Alice Marie Johnson, for example, 509 00:28:23,960 --> 00:28:26,600 Speaker 3: who comes out of prison and thanks the President and 510 00:28:26,600 --> 00:28:30,720 Speaker 3: then goes on a mission to serve and help others 511 00:28:30,760 --> 00:28:33,240 Speaker 3: that are coming out of incarceration. That all came not 512 00:28:33,320 --> 00:28:36,240 Speaker 3: as a result of any policy the left has ever pushed. 513 00:28:36,280 --> 00:28:41,000 Speaker 3: It came as a result of a politician not handcuffed 514 00:28:41,240 --> 00:28:44,920 Speaker 3: by the left's absolutely ridiculous policies and ideology. 515 00:28:45,480 --> 00:28:47,160 Speaker 1: Well, and I think you make a great point if 516 00:28:47,200 --> 00:28:49,680 Speaker 1: you look at Donald Trump, he's not cancuffed at all 517 00:28:49,840 --> 00:28:52,480 Speaker 1: because he was chosen by the people. I mean, if 518 00:28:52,480 --> 00:28:55,880 Speaker 1: we look at the establishment elites in the Republican Party, 519 00:28:55,960 --> 00:28:58,400 Speaker 1: donald Trump was not their choice. He was chosen by 520 00:28:58,480 --> 00:29:01,600 Speaker 1: the people. We are not in someone. And I really 521 00:29:01,640 --> 00:29:05,000 Speaker 1: do think that this is a critical differentiator right now 522 00:29:05,040 --> 00:29:09,000 Speaker 1: between the Democrats and the Republicans. The Republicans, the people 523 00:29:09,080 --> 00:29:12,560 Speaker 1: chose Donald Trump. The people didn't choose Joe Biden, and 524 00:29:12,600 --> 00:29:16,120 Speaker 1: they certainly didn't choose Kamala Harris. I mean, they had 525 00:29:16,760 --> 00:29:19,040 Speaker 1: they had no choice in they had a closed primary. 526 00:29:19,040 --> 00:29:21,000 Speaker 1: They had no choice. It was Joe Biden or bust. 527 00:29:21,080 --> 00:29:24,240 Speaker 1: And even then we saw a lot of uncommitted Now 528 00:29:24,640 --> 00:29:29,560 Speaker 1: what we've seen this whole undercurrent of stabbing the president 529 00:29:29,640 --> 00:29:33,840 Speaker 1: in the back, eliminating him essentially, and then installing the queen. 530 00:29:34,480 --> 00:29:37,280 Speaker 1: It's it's shocking. So I think that is key for 531 00:29:37,360 --> 00:29:41,440 Speaker 1: the American people to recognize that what you were able 532 00:29:41,480 --> 00:29:46,000 Speaker 1: to accomplish during Donald Trump's first term as president was 533 00:29:46,080 --> 00:29:49,600 Speaker 1: not something that Republicans always went, oh, that's what we need, 534 00:29:50,160 --> 00:29:52,560 Speaker 1: but it was what we needed as a country and 535 00:29:52,600 --> 00:29:55,680 Speaker 1: it changed things for the better. I mean, when we 536 00:29:55,720 --> 00:29:58,360 Speaker 1: look at this, and I just talked about the crime 537 00:29:58,400 --> 00:30:00,440 Speaker 1: in the state of Michigan. One of the other things 538 00:30:00,480 --> 00:30:03,239 Speaker 1: that I think is key to note is that in 539 00:30:03,280 --> 00:30:05,440 Speaker 1: the state of Michigan, those two crime labs, one is 540 00:30:07,000 --> 00:30:09,120 Speaker 1: funded by the state, the other is funded by the 541 00:30:09,160 --> 00:30:12,760 Speaker 1: people of Oakland County. So one county is really funding 542 00:30:12,760 --> 00:30:16,000 Speaker 1: our largest crime lab, where all of the kits are 543 00:30:16,040 --> 00:30:18,440 Speaker 1: coming through from all over the state. And this is 544 00:30:18,680 --> 00:30:21,000 Speaker 1: totally unfair to say that we are going to put 545 00:30:21,040 --> 00:30:23,080 Speaker 1: this on just one county and they are going to 546 00:30:23,080 --> 00:30:25,360 Speaker 1: be the people funding it. I think that if you 547 00:30:25,400 --> 00:30:27,719 Speaker 1: blew that up on a national scale, that is what 548 00:30:27,760 --> 00:30:31,680 Speaker 1: you would get from a Kamala Harris, because she's out there, 549 00:30:31,920 --> 00:30:35,720 Speaker 1: she's co sponsoring the whole Green New Deal bill, ten 550 00:30:35,760 --> 00:30:39,640 Speaker 1: trillion dollar Green New Deal. She's out there talking about 551 00:30:39,680 --> 00:30:43,480 Speaker 1: making sure we have healthcare for illegals. She's bringing criminals 552 00:30:43,520 --> 00:30:46,800 Speaker 1: in and she's handing them over our money. There is 553 00:30:46,880 --> 00:30:49,920 Speaker 1: no focus on how to keep the country safe. And 554 00:30:49,960 --> 00:30:52,240 Speaker 1: so even if we're looking at keeping the country safe 555 00:30:52,240 --> 00:30:56,680 Speaker 1: from the inside man a national security perspective, she's not 556 00:30:56,760 --> 00:30:59,400 Speaker 1: looking at that either. She's certainly not looking at how 557 00:30:59,400 --> 00:31:01,640 Speaker 1: to make sure we a secure border, how to make 558 00:31:01,680 --> 00:31:04,880 Speaker 1: sure we can actually meet with our foreign leaders and 559 00:31:04,960 --> 00:31:07,720 Speaker 1: bring peace to the world. I think Donald Trump was 560 00:31:07,840 --> 00:31:10,240 Speaker 1: unique in all of those areas. He was able to 561 00:31:10,240 --> 00:31:13,360 Speaker 1: sit down with anyone. He was never afraid. He was 562 00:31:13,400 --> 00:31:15,760 Speaker 1: never afraid of politics either. I think what we saw 563 00:31:15,800 --> 00:31:19,240 Speaker 1: with Kamala Harris not going to sit and listen to 564 00:31:19,760 --> 00:31:25,040 Speaker 1: Benjamin nettan Yahoo addressed Congress was very telling for what 565 00:31:25,080 --> 00:31:28,440 Speaker 1: it would be to like to have her as a president. 566 00:31:28,920 --> 00:31:32,240 Speaker 1: If you cannot walk into the room, how could you 567 00:31:32,400 --> 00:31:35,760 Speaker 1: possibly lead? Because I think that the fact that they've 568 00:31:35,800 --> 00:31:39,920 Speaker 1: hit Donald Trump on this, he has never let politics 569 00:31:39,920 --> 00:31:43,280 Speaker 1: stand in the way of being there, being present, hearing 570 00:31:43,320 --> 00:31:45,680 Speaker 1: that both sides and saying, Okay, how do we come 571 00:31:45,720 --> 00:31:49,080 Speaker 1: together as a country and go after this? That's what 572 00:31:49,120 --> 00:31:52,920 Speaker 1: we need. What we could potentially get in a Kamala 573 00:31:52,960 --> 00:31:58,360 Speaker 1: Harris would be the most radical and childlike presidency we've 574 00:31:58,400 --> 00:31:58,880 Speaker 1: ever seen. 575 00:31:59,560 --> 00:32:03,960 Speaker 2: Well, Tutor, She's looking ahead, unburdened by what has. 576 00:32:03,800 --> 00:32:08,120 Speaker 3: Been right, and the problem with that philosophy is it 577 00:32:08,200 --> 00:32:11,560 Speaker 3: is where we've been and the burdens that have come 578 00:32:11,680 --> 00:32:15,239 Speaker 3: in our lives that really should form the decisions that 579 00:32:15,280 --> 00:32:18,600 Speaker 3: we make going forward. Life doesn't want to look historical 580 00:32:18,720 --> 00:32:21,080 Speaker 3: they don't want to look at the cycles that they 581 00:32:21,080 --> 00:32:23,880 Speaker 3: have created. They don't want to look at the patterns 582 00:32:24,600 --> 00:32:27,200 Speaker 3: the history. They want to destroy all of our monuments, 583 00:32:27,240 --> 00:32:29,760 Speaker 3: They want to destroy all of our history because they 584 00:32:29,760 --> 00:32:31,920 Speaker 3: believe that there's something better. Well, the only thing they're 585 00:32:32,040 --> 00:32:38,400 Speaker 3: leading us to is to a state in which the country, 586 00:32:38,760 --> 00:32:42,680 Speaker 3: the people suffer while the elite continue to grow more powerful. 587 00:32:42,720 --> 00:32:45,160 Speaker 3: And that's why this election is so important. 588 00:32:45,160 --> 00:32:47,360 Speaker 2: But it's for me. The election is. 589 00:32:47,280 --> 00:32:50,080 Speaker 3: So important because I know what the policies are going 590 00:32:50,120 --> 00:32:52,840 Speaker 3: to be under a Kamala Harris and you highlight it 591 00:32:52,920 --> 00:32:57,680 Speaker 3: exactly right. She's childlike, meaning she can be persuaded by 592 00:32:57,800 --> 00:33:01,600 Speaker 3: anyone that wants to persuade her. And who's going to 593 00:33:01,600 --> 00:33:03,920 Speaker 3: be pulling those strings. It's going to be the Soros 594 00:33:03,960 --> 00:33:06,120 Speaker 3: and the others that have been pulling strings on the 595 00:33:06,200 --> 00:33:09,480 Speaker 3: left for a long time and actually decaying and destroying 596 00:33:09,520 --> 00:33:12,640 Speaker 3: this country. And so if it's not Donald Trump, you 597 00:33:12,680 --> 00:33:16,200 Speaker 3: know who is going to stand in there over the 598 00:33:16,200 --> 00:33:19,800 Speaker 3: next decade or two decades and ensure that we can 599 00:33:19,880 --> 00:33:23,680 Speaker 3: rebuild the country in a fashion in which policies are 600 00:33:23,760 --> 00:33:26,520 Speaker 3: driven by data and the work is being done and 601 00:33:26,640 --> 00:33:30,240 Speaker 3: we roll up sleeves That's why we need you in position. 602 00:33:30,360 --> 00:33:33,280 Speaker 3: You need to be leading the state of Michigan. You know, 603 00:33:33,360 --> 00:33:37,240 Speaker 3: we need voices all across this country that are loud 604 00:33:37,320 --> 00:33:39,200 Speaker 3: and powerful. And this is the reason I do this, 605 00:33:39,320 --> 00:33:42,160 Speaker 3: and the reason I go on Fox News or anything else, 606 00:33:42,240 --> 00:33:46,520 Speaker 3: is because I'm worried that the voices are getting drowned 607 00:33:46,520 --> 00:33:49,840 Speaker 3: out by the elite and by the powerful who want 608 00:33:49,880 --> 00:33:50,960 Speaker 3: to maintain their power. 609 00:33:51,560 --> 00:33:54,320 Speaker 1: Well, and I will just say that I have to 610 00:33:54,360 --> 00:33:56,440 Speaker 1: look at this as a woman. I mean, and this 611 00:33:56,520 --> 00:34:00,440 Speaker 1: is for women. It is huge to see a woman, 612 00:34:00,480 --> 00:34:03,640 Speaker 1: another woman running for president. We saw that in Hillary Clinton, 613 00:34:03,760 --> 00:34:06,959 Speaker 1: and I won't belittle that. I think that a lot 614 00:34:07,000 --> 00:34:09,200 Speaker 1: of people on the right make fun of that. To me, 615 00:34:09,280 --> 00:34:11,000 Speaker 1: it's a very big deal. It's a very big deal 616 00:34:11,040 --> 00:34:13,520 Speaker 1: for my daughters to watch this. I have four girls, 617 00:34:14,000 --> 00:34:17,200 Speaker 1: and so I take every move that she makes very 618 00:34:17,239 --> 00:34:19,640 Speaker 1: seriously because I come from this deal industry. I come 619 00:34:19,640 --> 00:34:22,640 Speaker 1: from a man's world where I know that it's very 620 00:34:22,680 --> 00:34:25,280 Speaker 1: hard to be taken seriously as a woman. And every 621 00:34:25,360 --> 00:34:29,040 Speaker 1: move that Kamala Harris makes in this campaign is meaningful 622 00:34:29,120 --> 00:34:31,080 Speaker 1: to all of us, whether we are on the right 623 00:34:31,160 --> 00:34:33,520 Speaker 1: or the left, as women. And I think that the 624 00:34:33,560 --> 00:34:35,880 Speaker 1: worst reputation that we have as women is that we 625 00:34:35,920 --> 00:34:39,440 Speaker 1: are petty, that we can't when emotion takes over, we 626 00:34:39,480 --> 00:34:41,719 Speaker 1: can't handle things, and that we like to give the 627 00:34:41,760 --> 00:34:44,120 Speaker 1: silent treatment and walk out of the room. You can't 628 00:34:44,320 --> 00:34:46,560 Speaker 1: in business, you can't do that. I mean in politics, 629 00:34:46,640 --> 00:34:49,120 Speaker 1: you can't do that. And yet that is what we're 630 00:34:49,239 --> 00:34:52,480 Speaker 1: already seeing with Kamala Harrison. To me, that is devastating 631 00:34:53,000 --> 00:34:56,480 Speaker 1: because I think for all women, whether like I said, 632 00:34:56,520 --> 00:34:59,399 Speaker 1: no matter what side of the aisle you're on, if 633 00:34:59,440 --> 00:35:02,920 Speaker 1: you can't say that's a problem, if you can't condemn that, 634 00:35:03,360 --> 00:35:08,320 Speaker 1: but also recognize that that action, that small action, impacts 635 00:35:08,320 --> 00:35:11,879 Speaker 1: every single one of us who runs for office, then 636 00:35:12,040 --> 00:35:15,000 Speaker 1: you're not being honest about the impact. She is held 637 00:35:15,000 --> 00:35:18,400 Speaker 1: to a higher standard than any man running for office, 638 00:35:18,520 --> 00:35:20,640 Speaker 1: and she has to be able to rise above all 639 00:35:20,680 --> 00:35:23,400 Speaker 1: of this. And I say this as someone who, like 640 00:35:23,440 --> 00:35:25,279 Speaker 1: I said, is stepping back and looking at this from 641 00:35:25,320 --> 00:35:29,320 Speaker 1: a nonpartisan away from from a I'm also a woman standpoint. 642 00:35:29,800 --> 00:35:33,760 Speaker 1: You have to rise above the politics in this situation, 643 00:35:33,880 --> 00:35:36,160 Speaker 1: and yet I don't think she's going to. I don't 644 00:35:36,239 --> 00:35:38,239 Speaker 1: know how much that sets us back as women in 645 00:35:38,280 --> 00:35:41,880 Speaker 1: politics very powerful, it's very upsetting. 646 00:35:42,120 --> 00:35:43,239 Speaker 2: Yeah, it is upsetting. 647 00:35:43,320 --> 00:35:45,960 Speaker 3: And that's why you look at some of the really 648 00:35:46,200 --> 00:35:50,279 Speaker 3: really powerful women that are in this country, and I 649 00:35:50,400 --> 00:35:54,600 Speaker 3: count you and others among them. You know, there they 650 00:35:54,680 --> 00:35:58,479 Speaker 3: are doing more and working harder, and they are held 651 00:35:58,480 --> 00:36:03,400 Speaker 3: to a different standard. But I worry on Kamala Harris 652 00:36:03,520 --> 00:36:08,839 Speaker 3: that she's been able to survive with sub car performance 653 00:36:09,360 --> 00:36:12,319 Speaker 3: and work, and she's done that throughout her career, and 654 00:36:12,400 --> 00:36:14,759 Speaker 3: so she's not going to change when she's president. In fact, 655 00:36:14,840 --> 00:36:17,560 Speaker 3: we will make that worse. That part of her will 656 00:36:17,719 --> 00:36:21,120 Speaker 3: will be worse for all Americans. And that's you know, 657 00:36:21,200 --> 00:36:25,560 Speaker 3: I have daughters and granddaughters now and I watch them 658 00:36:25,600 --> 00:36:27,680 Speaker 3: and they're strong and they're powerful, and I want them 659 00:36:27,680 --> 00:36:32,680 Speaker 3: to be women that are confident. And I don't see 660 00:36:32,680 --> 00:36:35,000 Speaker 3: that right now in Kamala Harris. I don't see her 661 00:36:35,200 --> 00:36:39,600 Speaker 3: ability to lead and inspire you know, our young daughters 662 00:36:39,600 --> 00:36:40,960 Speaker 3: and granddaughters in this country. 663 00:36:41,760 --> 00:36:43,920 Speaker 1: You've got to walk into the room to lead. She 664 00:36:44,000 --> 00:36:45,879 Speaker 1: made a choice to not even walk into the room. 665 00:36:45,920 --> 00:36:47,920 Speaker 1: And I think that says everything we need to know. 666 00:36:48,000 --> 00:36:50,520 Speaker 1: But we're going to have to keep watching and see 667 00:36:50,520 --> 00:36:52,680 Speaker 1: how she does. But I appreciate you being on today. 668 00:36:52,719 --> 00:36:54,560 Speaker 1: Brett Tolman, thank you so much and thank you for 669 00:36:54,640 --> 00:36:58,160 Speaker 1: what you do with Right on Crime. Thank you Tutor absolutely, 670 00:36:58,200 --> 00:37:00,840 Speaker 1: and thank you all for joining the Tutor Dixon Podcast today. 671 00:37:00,880 --> 00:37:04,120 Speaker 1: For this episode and others, go to Tutor disonpodcast dot com. 672 00:37:04,160 --> 00:37:06,279 Speaker 1: You can subscribe right there, or head over to the 673 00:37:06,280 --> 00:37:09,680 Speaker 1: iHeartRadio app, Apple Podcasts, or wherever you get your podcasts 674 00:37:09,719 --> 00:37:12,560 Speaker 1: and join us next time. Have a blessed day.