1 00:00:06,760 --> 00:00:09,680 Speaker 1: Welcome to Brief Recess. I'm Michael Foot, I'm Melissa Albranch. 2 00:00:09,760 --> 00:00:11,440 Speaker 1: Today we're going to talk about the time I kissed 3 00:00:11,440 --> 00:00:14,840 Speaker 1: at Jehovah's witness, the first times that we both got high, 4 00:00:15,200 --> 00:00:19,840 Speaker 1: the latest stage shooting from Trump, Trump's unhinged sixty minute interview. 5 00:00:19,920 --> 00:00:23,520 Speaker 1: He did not fall. We predict Cash Betel's downfall. We 6 00:00:23,560 --> 00:00:25,960 Speaker 1: got a full Weeji board out for that one. We 7 00:00:26,000 --> 00:00:29,880 Speaker 1: share why we lie to our doctors. Actually, no, we don't, 8 00:00:29,920 --> 00:00:31,800 Speaker 1: and I'm going to keep doing it. And then we're 9 00:00:31,800 --> 00:00:35,080 Speaker 1: going to interview Emily Galvin l Manza about the criminal 10 00:00:35,200 --> 00:00:37,560 Speaker 1: justice system. And I'm going to answer all your burning 11 00:00:37,640 --> 00:00:41,800 Speaker 1: questions from the DM So stick around. But I'm supposed 12 00:00:41,800 --> 00:00:44,599 Speaker 1: I'm getting used to double breasted. How to button it 13 00:00:45,479 --> 00:00:46,320 Speaker 1: and unbuttoned? 14 00:00:46,640 --> 00:00:47,279 Speaker 2: Is it difficult? 15 00:00:47,440 --> 00:00:49,920 Speaker 1: No, it's not difficult, It's just different. I do a 16 00:00:50,000 --> 00:00:55,080 Speaker 1: lot of self unconscious What is it? Yeah, unconscious unbuttoning 17 00:00:55,680 --> 00:00:58,360 Speaker 1: when I'm like standing and sitting. I'm used to it 18 00:00:58,480 --> 00:01:00,400 Speaker 1: being here, but it's over here now and I have 19 00:01:00,440 --> 00:01:02,400 Speaker 1: to adjust. It's like a thing. It's like how your 20 00:01:02,400 --> 00:01:04,480 Speaker 1: glasses are on your head and not your face. You 21 00:01:04,600 --> 00:01:06,479 Speaker 1: like get used to that, do. 22 00:01:06,440 --> 00:01:07,600 Speaker 2: You have a good rest of the week. 23 00:01:07,800 --> 00:01:11,600 Speaker 1: No, no, really, what led you to believe I would 24 00:01:11,600 --> 00:01:12,119 Speaker 1: have a good week? 25 00:01:12,160 --> 00:01:13,800 Speaker 2: I mean, I don't know. It was your birthday week, 26 00:01:13,840 --> 00:01:14,600 Speaker 2: it was our birthday. 27 00:01:14,600 --> 00:01:16,880 Speaker 1: Oh yeah, that's right, it was our birthday week. How 28 00:01:17,000 --> 00:01:18,280 Speaker 1: is yours good? 29 00:01:18,360 --> 00:01:20,639 Speaker 2: I spent a good portion of the day by myself, 30 00:01:20,640 --> 00:01:21,399 Speaker 2: which is what I like. 31 00:01:22,200 --> 00:01:24,680 Speaker 1: I love being alone, so do I. 32 00:01:24,680 --> 00:01:27,240 Speaker 2: I had a really good day. I had a massage, 33 00:01:27,280 --> 00:01:30,080 Speaker 2: a facial, a manicurein a petticure, all of which alone, 34 00:01:30,319 --> 00:01:32,520 Speaker 2: and then I had a lovely dinner with my husband. 35 00:01:32,680 --> 00:01:34,840 Speaker 1: When you do it all at once like that, are 36 00:01:34,880 --> 00:01:36,959 Speaker 1: you like a queen where there's like a person working 37 00:01:37,000 --> 00:01:37,840 Speaker 1: on each TOUTSI. 38 00:01:38,160 --> 00:01:41,160 Speaker 2: No, you know what, because all the people that I 39 00:01:41,319 --> 00:01:44,600 Speaker 2: like are not in the same place. There is a 40 00:01:44,600 --> 00:01:46,320 Speaker 2: little bit of me hoof in it from one place 41 00:01:46,319 --> 00:01:46,800 Speaker 2: to another. 42 00:01:46,840 --> 00:01:50,440 Speaker 1: Oh yeah, it's like that though, because sometimes, like the 43 00:01:50,920 --> 00:01:53,840 Speaker 1: good facial, we go to Rowena. I don't want Rowena 44 00:01:53,880 --> 00:01:55,200 Speaker 1: doing anything other than my facial. 45 00:01:55,320 --> 00:01:57,520 Speaker 2: Well, not just that, but Rowena is where she is. 46 00:01:57,720 --> 00:02:01,200 Speaker 2: She's a specialist. Right my massage therapist, Beryl shout out 47 00:02:01,240 --> 00:02:04,160 Speaker 2: to Beryl is where she is, and the manicure pedicure 48 00:02:04,200 --> 00:02:06,760 Speaker 2: place is where they are and they're not together. 49 00:02:07,080 --> 00:02:12,840 Speaker 1: I got a massage. It was definitely like underground, illegal, unlicensed. 50 00:02:12,880 --> 00:02:13,639 Speaker 2: It's good though. 51 00:02:13,840 --> 00:02:16,480 Speaker 1: It was so good. Yeah, I don't know the name. 52 00:02:16,720 --> 00:02:17,560 Speaker 2: How will you go back? 53 00:02:17,600 --> 00:02:20,440 Speaker 1: I probably won't. It was like Brigadoon, where like every 54 00:02:20,600 --> 00:02:26,480 Speaker 1: fifty years the town appears. It's like where I go 55 00:02:28,120 --> 00:02:30,120 Speaker 1: and I'll never be able to find that massage again. 56 00:02:30,560 --> 00:02:32,640 Speaker 1: I'm sure that man's not there anymore. And it was 57 00:02:32,720 --> 00:02:36,760 Speaker 1: just incredible, and you know there's actually I think it's 58 00:02:36,760 --> 00:02:39,200 Speaker 1: even better because I know I'll never have it again, 59 00:02:39,360 --> 00:02:39,919 Speaker 1: you know what I mean? 60 00:02:40,040 --> 00:02:44,680 Speaker 2: Really, I wish that I could get a massage every week. 61 00:02:44,800 --> 00:02:47,320 Speaker 2: I can't, but I wish that I could. I have 62 00:02:47,440 --> 00:02:50,399 Speaker 2: like weird like neck things. 63 00:02:50,280 --> 00:02:52,240 Speaker 1: I like go through faces like once I get when, 64 00:02:52,240 --> 00:02:54,440 Speaker 1: I'm like, that was incredible. I should be doing that more. 65 00:02:54,480 --> 00:02:55,960 Speaker 1: And then I forget that it's an option. 66 00:02:56,240 --> 00:02:59,400 Speaker 2: No, I will never forget. I will never forget about 67 00:02:59,639 --> 00:03:04,400 Speaker 2: these are Life's life is shitty, Michael. Everything is fucked up. 68 00:03:04,919 --> 00:03:08,040 Speaker 2: I've gotten everything is terrible. What's my mom saying about 69 00:03:08,080 --> 00:03:08,760 Speaker 2: the church? That time? 70 00:03:09,080 --> 00:03:12,240 Speaker 1: Oh? When was burning? I called? I was with Melissa 71 00:03:12,280 --> 00:03:14,680 Speaker 1: when we found out Notre Dame's on fire and we 72 00:03:14,840 --> 00:03:16,960 Speaker 1: called Melissa's mother together. 73 00:03:16,800 --> 00:03:18,679 Speaker 2: Like everything is burning and nothing show. 74 00:03:23,639 --> 00:03:29,760 Speaker 1: Can you more dramatic? This is sidebar. This is all 75 00:03:29,800 --> 00:03:31,960 Speaker 1: the weird, wild things going on in our lives and 76 00:03:31,960 --> 00:03:34,160 Speaker 1: our personal lives. 77 00:03:34,400 --> 00:03:37,000 Speaker 2: I spent a lot of time with my family this weekend. 78 00:03:37,040 --> 00:03:40,360 Speaker 2: My cousin Valerie is having a baby, and we went 79 00:03:40,440 --> 00:03:43,040 Speaker 2: to her baby shower, and I spent a lot of 80 00:03:43,080 --> 00:03:46,120 Speaker 2: time with my mom and my uncle like so her brother. 81 00:03:46,520 --> 00:03:46,640 Speaker 1: Yea. 82 00:03:47,360 --> 00:03:48,960 Speaker 2: Most of the time I was just like looking at 83 00:03:49,000 --> 00:03:52,560 Speaker 2: them like this and just like laughing. 84 00:03:52,600 --> 00:03:55,680 Speaker 1: Because they're like click and clack the top of brothers. 85 00:03:55,520 --> 00:04:00,480 Speaker 2: Absolutely and they're like, so they're so clearly brother and sister. 86 00:04:00,960 --> 00:04:04,240 Speaker 2: That's me and my sister that it's so funny to me. 87 00:04:04,480 --> 00:04:06,880 Speaker 2: I always say, if I had hairshet pull it like 88 00:04:06,960 --> 00:04:09,000 Speaker 2: we're just we're just like a hair pulling brother and 89 00:04:09,040 --> 00:04:11,400 Speaker 2: sister in the backseat. Oh yeah, did you guys fight 90 00:04:11,440 --> 00:04:14,280 Speaker 2: a lot? Oh my god, yeah, what's the age difference? 91 00:04:14,360 --> 00:04:15,000 Speaker 1: Two years? 92 00:04:15,520 --> 00:04:17,600 Speaker 2: See, my brother and I didn't fight at all because 93 00:04:17,600 --> 00:04:19,880 Speaker 2: he was a baby, Like we were eleven years apart. 94 00:04:19,920 --> 00:04:21,800 Speaker 2: It would have been weird. Oh way, do you know 95 00:04:21,839 --> 00:04:22,120 Speaker 2: what any. 96 00:04:22,760 --> 00:04:24,440 Speaker 1: Yeah, that would that would have been weird. What's wrong 97 00:04:24,480 --> 00:04:26,279 Speaker 1: with you? Why are you fighting with a toddler? 98 00:04:28,360 --> 00:04:35,960 Speaker 2: Brothers years we had like nothing. Yeah, he was like 99 00:04:36,000 --> 00:04:37,600 Speaker 2: my pet. I just kind of took him everywhere. 100 00:04:37,839 --> 00:04:40,560 Speaker 1: That's so cute though. Yeah, I remember my sister got 101 00:04:40,560 --> 00:04:43,400 Speaker 1: me high when I was like fifteen. We were driving 102 00:04:43,400 --> 00:04:44,120 Speaker 1: around with I. 103 00:04:44,040 --> 00:04:48,560 Speaker 2: Don't understand these stories. These sometimes you say things to 104 00:04:48,600 --> 00:04:54,040 Speaker 2: me that are so unrelatable. They're so unrelatable. I don't 105 00:04:54,360 --> 00:04:56,360 Speaker 2: like this. Oh, when I was fifteen, I got hot. 106 00:04:56,760 --> 00:04:59,320 Speaker 2: Where are the drugs from? Where are the drugs? 107 00:04:59,440 --> 00:05:06,400 Speaker 1: My sister's boyfriend, he was a Jehovah witness, he was, 108 00:05:06,440 --> 00:05:10,839 Speaker 1: and it got me high. He also kissed me once, yeah, 109 00:05:10,880 --> 00:05:12,760 Speaker 1: and so we got in a fight over him. But 110 00:05:13,120 --> 00:05:15,000 Speaker 1: he got me really high in the back seat. And 111 00:05:15,040 --> 00:05:17,479 Speaker 1: it's one of these things where, like a lot of people, 112 00:05:17,560 --> 00:05:19,360 Speaker 1: the first porn they ever see is like the weirdest 113 00:05:19,400 --> 00:05:21,279 Speaker 1: porn they'll ever see. It's like the first time I 114 00:05:21,320 --> 00:05:23,800 Speaker 1: got high, it was like the weirdest situation. 115 00:05:27,240 --> 00:05:30,560 Speaker 2: The first porn. Most people, the first porn that they've 116 00:05:30,600 --> 00:05:32,200 Speaker 2: ever seen is the weirdest porn. 117 00:05:32,400 --> 00:05:35,840 Speaker 1: Usually. I have a theory, like if someone was like, hey, 118 00:05:35,920 --> 00:05:38,279 Speaker 1: this is the first porn I saw. It's usually like 119 00:05:38,320 --> 00:05:41,120 Speaker 1: the weirdest shit, and then the rest of your life 120 00:05:41,160 --> 00:05:46,520 Speaker 1: you see like relatively normal porn. But anyway, I think this, 121 00:05:46,640 --> 00:05:48,640 Speaker 1: I know, I put that out there as a theory. 122 00:05:48,680 --> 00:05:50,920 Speaker 1: I've yet to prove it. This is a hypothesis. This 123 00:05:50,960 --> 00:05:53,719 Speaker 1: is what science is about, right, And so we put 124 00:05:53,760 --> 00:05:54,479 Speaker 1: up the hypothesis. 125 00:05:54,640 --> 00:05:56,360 Speaker 2: Was it like a theory like my hug theory? 126 00:05:56,880 --> 00:06:00,719 Speaker 1: Yeah, it's like your three kinds of hugs. It's like that. 127 00:06:00,720 --> 00:06:02,840 Speaker 1: That is mine. But I will say I want to 128 00:06:02,880 --> 00:06:04,719 Speaker 1: extend it to the first time you smoked pot. I 129 00:06:04,720 --> 00:06:08,360 Speaker 1: feel like every other time after that probably was a 130 00:06:08,480 --> 00:06:11,560 Speaker 1: more normal situation than what you experienced the first time. 131 00:06:11,880 --> 00:06:13,440 Speaker 2: How old were you the first time you smoked pot? 132 00:06:13,480 --> 00:06:15,000 Speaker 1: It was in the backstat of that car with the guys. 133 00:06:15,080 --> 00:06:16,440 Speaker 2: I was how old I was the first time I 134 00:06:16,480 --> 00:06:19,120 Speaker 2: tried pot? Yes, yes, just guess. 135 00:06:19,279 --> 00:06:22,720 Speaker 1: I don't know. In your twenties twenty one, nineteen thirty, 136 00:06:23,400 --> 00:06:29,479 Speaker 1: forty thirty four, Melissa, maybe, oh my god, I was 137 00:06:29,480 --> 00:06:33,080 Speaker 1: a grown as some Mormon shit. That is some no call. 138 00:06:33,160 --> 00:06:36,440 Speaker 2: But again it is because it is not because I 139 00:06:36,480 --> 00:06:39,080 Speaker 2: was afraid or I thought anything was bad. I was 140 00:06:39,160 --> 00:06:40,680 Speaker 2: simply not interested. 141 00:06:40,960 --> 00:06:42,160 Speaker 1: Do you know what I'm saying I thought you were 142 00:06:42,160 --> 00:06:44,159 Speaker 1: going to say sheltered like you weren't, like, but you 143 00:06:44,200 --> 00:06:45,200 Speaker 1: were out in these streets. 144 00:06:45,279 --> 00:06:47,600 Speaker 2: I was out in these streets doing stuff. But I 145 00:06:47,760 --> 00:06:50,840 Speaker 2: was so uninterested. I was like, why would you do that? 146 00:06:50,920 --> 00:06:51,640 Speaker 1: Can I tell you what? 147 00:06:51,839 --> 00:06:52,479 Speaker 2: When there's food? 148 00:06:52,600 --> 00:06:54,960 Speaker 1: Can I tell you what he did when he smoked 149 00:06:54,960 --> 00:06:58,560 Speaker 1: pot with me? For this is a firm fifteen. I 150 00:06:58,560 --> 00:07:00,200 Speaker 1: think you must have been like a couple of years 151 00:07:00,200 --> 00:07:01,360 Speaker 1: older than me in high school. 152 00:07:01,640 --> 00:07:02,159 Speaker 2: Oh okay. 153 00:07:02,240 --> 00:07:05,280 Speaker 1: And he took the joint and after it was all 154 00:07:05,279 --> 00:07:07,719 Speaker 1: the way down to like a little the little nub, 155 00:07:07,880 --> 00:07:10,160 Speaker 1: the little nub, and it was just like a rolled 156 00:07:10,160 --> 00:07:13,960 Speaker 1: paper joint. He went sucked on it really hard. It's 157 00:07:14,040 --> 00:07:18,480 Speaker 1: still lit. Inhaled it and swallowed it the thing the 158 00:07:18,600 --> 00:07:22,840 Speaker 1: roach ate it ate it, sucked on it so hard. 159 00:07:22,960 --> 00:07:25,120 Speaker 2: These are experiences that I cannot. 160 00:07:25,040 --> 00:07:27,800 Speaker 1: And I didn't, And it was the for me. I 161 00:07:27,920 --> 00:07:29,880 Speaker 1: was like, that is the weirdest thing I've ever seen. 162 00:07:29,920 --> 00:07:31,960 Speaker 1: And it's still the weirdest thing I've ever seen. 163 00:07:32,200 --> 00:07:34,520 Speaker 2: Did it make you feel like you should be doing 164 00:07:34,560 --> 00:07:36,360 Speaker 2: that or were you like, no, this is I was like, 165 00:07:36,440 --> 00:07:38,280 Speaker 2: that can't be part of it. Oh okay, there's no 166 00:07:38,360 --> 00:07:40,160 Speaker 2: way that is how it's supposed to go. Is that 167 00:07:40,200 --> 00:07:42,080 Speaker 2: the thing that can't be the thing? 168 00:07:42,120 --> 00:07:43,440 Speaker 1: I think that's how you're supposed to do. 169 00:07:43,560 --> 00:07:46,320 Speaker 2: That's not how this goes. That's how any of this goes. 170 00:07:47,880 --> 00:07:49,880 Speaker 1: This is your algorithm is showing. These are all the weird, 171 00:07:49,920 --> 00:07:54,680 Speaker 1: wild things happening in our beads on all of social media. 172 00:07:55,280 --> 00:08:01,480 Speaker 1: We had another fake shooting this week. Are you ready 173 00:08:01,520 --> 00:08:06,480 Speaker 1: to cover it? There's another stage shooting, another fake attempted 174 00:08:06,480 --> 00:08:09,760 Speaker 1: fascination of the president. So I figured we'd cover it. 175 00:08:09,760 --> 00:08:11,680 Speaker 1: We actually just copy and pasted from the last two 176 00:08:11,720 --> 00:08:13,200 Speaker 1: times we covered the stage shooting. 177 00:08:13,320 --> 00:08:14,520 Speaker 2: So nothing new to see. 178 00:08:14,880 --> 00:08:17,320 Speaker 1: Yeah, but it was at the White House Correspondence and 179 00:08:17,360 --> 00:08:21,480 Speaker 1: it's the first time he's attended it. So put your 180 00:08:21,480 --> 00:08:24,200 Speaker 1: pen down, pens down, pencils down, heads up. 181 00:08:24,240 --> 00:08:26,840 Speaker 2: I think when I first, you're telling me about how 182 00:08:26,880 --> 00:08:28,760 Speaker 2: you felt. But when I heard that he was going 183 00:08:28,800 --> 00:08:30,680 Speaker 2: to do this the dinner, I was just like, that's 184 00:08:30,720 --> 00:08:31,400 Speaker 2: weird because he. 185 00:08:31,400 --> 00:08:33,760 Speaker 1: Hates these people, these people, I hate these dinners. 186 00:08:33,960 --> 00:08:36,520 Speaker 2: He hates these dinners. And I think the one time 187 00:08:36,559 --> 00:08:38,600 Speaker 2: that he did go, he got mad, he got roasted. 188 00:08:38,640 --> 00:08:40,960 Speaker 2: Because that's the point of the thing, right, Obviously, we 189 00:08:41,000 --> 00:08:43,960 Speaker 2: all know about your credentials and breadth. 190 00:08:43,760 --> 00:08:50,600 Speaker 3: Of experience, and he got really pissed off, really upset. 191 00:08:50,640 --> 00:08:53,080 Speaker 3: He got butt hurt over it and decided that he 192 00:08:53,160 --> 00:08:54,360 Speaker 3: was never going to do this again. 193 00:08:54,760 --> 00:08:57,839 Speaker 2: And then I was just like, why is he doing 194 00:08:57,880 --> 00:08:58,760 Speaker 2: this now? 195 00:08:58,960 --> 00:08:59,080 Speaker 4: Right? 196 00:08:59,120 --> 00:09:01,920 Speaker 2: And I was thinking to myself, is it because his 197 00:09:02,040 --> 00:09:03,079 Speaker 2: numbers are in the toilet? 198 00:09:03,160 --> 00:09:03,240 Speaker 5: Like? 199 00:09:03,280 --> 00:09:07,760 Speaker 2: What what is this? Because with this president, I feel like, 200 00:09:07,920 --> 00:09:11,000 Speaker 2: more than any other, it's never just to do the thing. 201 00:09:11,160 --> 00:09:12,719 Speaker 2: There's a reason behind it. 202 00:09:13,000 --> 00:09:15,720 Speaker 1: Thirty three percent his approval rating right now, I mean 203 00:09:15,880 --> 00:09:18,880 Speaker 1: it's really bad. All the independence are Yeah. 204 00:09:19,400 --> 00:09:21,960 Speaker 2: So I was just like, this feels wrong. And then 205 00:09:22,040 --> 00:09:22,959 Speaker 2: I don't know what I was doing. 206 00:09:23,360 --> 00:09:27,479 Speaker 1: You called it You've got some I mean, no, witch. 207 00:09:27,440 --> 00:09:30,559 Speaker 2: No, it isn't. No, it isn't. It is just logical. 208 00:09:30,720 --> 00:09:32,880 Speaker 2: Do you know what I'm saying? There's nothing special about this. 209 00:09:33,000 --> 00:09:35,240 Speaker 1: It's just like one inferential leap. It was like a 210 00:09:35,320 --> 00:09:37,040 Speaker 1: small critical thinking. 211 00:09:37,480 --> 00:09:41,600 Speaker 2: But Michael, I get so I'm so annoyed. I'm so 212 00:09:41,679 --> 00:09:46,040 Speaker 2: irritated that this whole thing because I just knew that 213 00:09:46,160 --> 00:09:50,000 Speaker 2: something was going to happen, and not because I'm so intuitive, 214 00:09:50,600 --> 00:09:51,720 Speaker 2: but because. 215 00:09:51,600 --> 00:09:54,360 Speaker 1: He's never been right. He's gone It's like. 216 00:09:54,320 --> 00:09:56,640 Speaker 2: What is he after? What is he really after? 217 00:09:56,840 --> 00:09:58,240 Speaker 1: Is he going to say something? Is there going to 218 00:09:58,280 --> 00:10:05,280 Speaker 1: be a yeah, sho, sure enough? Not showing up. Did 219 00:10:05,280 --> 00:10:06,560 Speaker 1: you see the guy who kept eating? 220 00:10:08,880 --> 00:10:10,360 Speaker 2: I didn't see there's this guy. 221 00:10:10,440 --> 00:10:13,080 Speaker 1: That would have been me, that would have been just sho. 222 00:10:13,679 --> 00:10:19,040 Speaker 1: I'm sorry. The chicken Milans is really good Chicka Pats, 223 00:10:19,120 --> 00:10:20,920 Speaker 1: Chicken Pocatto or chicken franchise at those. 224 00:10:20,800 --> 00:10:25,199 Speaker 2: Days, with some chicken with the with the green beans 225 00:10:25,200 --> 00:10:29,240 Speaker 2: with the almonds on it, almondine, so kind of a rice. 226 00:10:29,880 --> 00:10:32,520 Speaker 1: Just kept gobbling down the journalist he kept eating. He 227 00:10:32,600 --> 00:10:36,000 Speaker 1: was like, ain't no way, ain't no thing but a 228 00:10:36,080 --> 00:10:36,560 Speaker 1: chicken wing. 229 00:10:36,720 --> 00:10:40,199 Speaker 2: I mean, like, the whole thing was so ridiculous. 230 00:10:40,240 --> 00:10:42,240 Speaker 1: I mean it was so stage as a photo millennia 231 00:10:42,360 --> 00:10:44,760 Speaker 1: like this, and Trump's like. 232 00:10:46,200 --> 00:10:49,319 Speaker 2: But my favorite though, one of my favorite things of 233 00:10:49,360 --> 00:10:53,480 Speaker 2: the whole thing is then picking up JD. Vans by 234 00:10:53,520 --> 00:10:58,400 Speaker 2: the back of the jacket and dragging him out like and. 235 00:10:58,360 --> 00:11:01,240 Speaker 1: They were dragging him out like he's an fighter, like. 236 00:11:01,320 --> 00:11:03,679 Speaker 2: He was going to like like let me at let me. 237 00:11:03,960 --> 00:11:06,800 Speaker 1: We know about JD is that he's always at fisticuffs 238 00:11:06,840 --> 00:11:09,040 Speaker 1: Like this is like he's a he's a w w 239 00:11:09,280 --> 00:11:12,320 Speaker 1: F fighter is going to laplancha someone with a folding chair. No, 240 00:11:12,480 --> 00:11:15,040 Speaker 1: like he's he's shad events. We've got like a bloated 241 00:11:15,080 --> 00:11:17,160 Speaker 1: face meme of him, like that's what he's not. He's 242 00:11:17,160 --> 00:11:20,120 Speaker 1: known for fucking a sofa and that meme, Like that's it. 243 00:11:20,440 --> 00:11:23,680 Speaker 1: All he's done is blown out a lazy boy and 244 00:11:24,080 --> 00:11:26,200 Speaker 1: that one meme. He's not known for fighting? Why you 245 00:11:26,240 --> 00:11:27,960 Speaker 1: have to drag him out of there, like he's like 246 00:11:27,960 --> 00:11:28,920 Speaker 1: he's precious cargo. 247 00:11:29,080 --> 00:11:30,679 Speaker 2: Well, I mean I think you got to drag him 248 00:11:30,720 --> 00:11:33,440 Speaker 2: out of there because he has no survival instincts, right, 249 00:11:33,520 --> 00:11:36,040 Speaker 2: he has no survival and he would just be out 250 00:11:36,040 --> 00:11:37,040 Speaker 2: there like a fish out. 251 00:11:36,960 --> 00:11:39,760 Speaker 3: Of the water, just flailing around, not doing anything, no 252 00:11:39,840 --> 00:11:40,600 Speaker 3: survival instincts. 253 00:11:40,600 --> 00:11:44,120 Speaker 1: He's procreating with furniture. He's not actually even trying to 254 00:11:44,240 --> 00:11:47,920 Speaker 1: like start a legacy. And did you hear he's still 255 00:11:47,960 --> 00:11:50,280 Speaker 1: It's two days later, he's still in the stairwell where 256 00:11:50,320 --> 00:11:52,600 Speaker 1: they left him. They haven't even gotten it. They haven't 257 00:11:52,600 --> 00:11:53,440 Speaker 1: even retrieved him. 258 00:11:53,480 --> 00:11:53,800 Speaker 2: Shaking. 259 00:11:54,160 --> 00:11:56,920 Speaker 1: Yeah, they're still waiting. Someone's got to go get him. 260 00:11:57,080 --> 00:11:59,320 Speaker 2: Someone's gonna be one, but nobody wants to. They're all 261 00:11:59,400 --> 00:12:03,160 Speaker 2: drawing straw and nobody wants to do it. Do you 262 00:12:03,200 --> 00:12:05,400 Speaker 2: know you might be too young for this? But do 263 00:12:05,480 --> 00:12:08,800 Speaker 2: you know who Benny Hill is? Okay? So Benny Hill 264 00:12:09,160 --> 00:12:14,200 Speaker 2: was this pretty famous British comedian. He had a show 265 00:12:14,240 --> 00:12:16,600 Speaker 2: called The Benny Hill Show and it's like known for 266 00:12:16,760 --> 00:12:22,560 Speaker 2: being kind of body slapsticky. But sometimes he would have 267 00:12:22,679 --> 00:12:26,199 Speaker 2: these skits where he would speed up the tape or 268 00:12:26,240 --> 00:12:28,480 Speaker 2: whatever and there was this weird music that would go. 269 00:12:29,800 --> 00:12:37,400 Speaker 2: It was like, do right, somebody set I guess a 270 00:12:37,440 --> 00:12:39,640 Speaker 2: stucred service running around to that music? 271 00:12:39,880 --> 00:12:44,000 Speaker 1: Really funny. 272 00:12:44,040 --> 00:12:46,600 Speaker 2: Should I've ever fucking seen I'm gonna find it because 273 00:12:46,720 --> 00:12:51,400 Speaker 2: it so funny. It's because it just feels like, what 274 00:12:51,480 --> 00:12:52,280 Speaker 2: do these guys do? 275 00:12:53,040 --> 00:12:56,520 Speaker 1: One video, they were like they were having RFK like 276 00:12:56,600 --> 00:13:00,080 Speaker 1: climb over a table and all of these and it's like, 277 00:13:00,360 --> 00:13:03,600 Speaker 1: there's no way that was the fastest way out of there. 278 00:13:04,000 --> 00:13:07,120 Speaker 1: They had him like walking diagonally over a table. 279 00:13:07,720 --> 00:13:09,960 Speaker 2: But is it to sort of like be a constant 280 00:13:10,000 --> 00:13:12,920 Speaker 2: moving target so you can't get him if I'm bobbing. 281 00:13:12,800 --> 00:13:16,840 Speaker 1: Maybe the table it's the cake topper. 282 00:13:18,400 --> 00:13:23,679 Speaker 2: It's like Trump's absolutely on his interview with the next day. 283 00:13:24,040 --> 00:13:25,760 Speaker 1: The next day, I'm like did they book the interview 284 00:13:25,800 --> 00:13:28,480 Speaker 1: before the shooting, like they knew it was or no, just. 285 00:13:28,400 --> 00:13:31,079 Speaker 2: Trying to do her job, and she's all wide. She 286 00:13:31,200 --> 00:13:33,480 Speaker 2: was just like when he goes and he's like, you're disgraceful, 287 00:13:33,520 --> 00:13:36,280 Speaker 2: she's like, so okay. 288 00:13:36,360 --> 00:13:38,880 Speaker 1: Yes, okay. So just for context from people who haven't 289 00:13:38,880 --> 00:13:40,160 Speaker 1: seen it, He's sit down the. 290 00:13:40,080 --> 00:13:45,320 Speaker 2: Next day with sixty minutes Nora o'donald, I'm so sorry. 291 00:13:45,480 --> 00:13:48,840 Speaker 2: You know something pop the last week too. 292 00:13:49,400 --> 00:13:51,920 Speaker 1: It's sorry, now. 293 00:13:51,840 --> 00:13:54,400 Speaker 2: You want to check your arms. You're so uncouth. 294 00:13:54,800 --> 00:13:57,440 Speaker 1: True, it's my fake sneeze. I'm so uncomfortable. 295 00:13:57,720 --> 00:13:59,760 Speaker 2: My face is way yeah, I know. 296 00:13:59,840 --> 00:14:07,959 Speaker 1: He just spit on everyone. So he does this in 297 00:14:08,280 --> 00:14:11,800 Speaker 1: interview the next day, which it's like again, it was 298 00:14:11,880 --> 00:14:14,920 Speaker 1: so they were so ready for everything. He's like, camera ready. 299 00:14:15,520 --> 00:14:18,840 Speaker 1: It's so obviously this has been planned out by like 300 00:14:18,880 --> 00:14:19,920 Speaker 1: a PR crisis. 301 00:14:20,200 --> 00:14:21,720 Speaker 2: I mean, go ahead. 302 00:14:21,960 --> 00:14:24,240 Speaker 1: If anyone has any doubts about how I feel about 303 00:14:24,240 --> 00:14:28,040 Speaker 1: the situation, I personally believe this was planned and fake. 304 00:14:28,600 --> 00:14:33,840 Speaker 1: And it's amazing that every single shooter in American history 305 00:14:34,080 --> 00:14:37,240 Speaker 1: doesn't miss, except for the three times Trump's approval ratings 306 00:14:37,240 --> 00:14:40,120 Speaker 1: around the toilet that is like, I'm sorry for me 307 00:14:40,200 --> 00:14:43,600 Speaker 1: once for me twice, that is a shame on if 308 00:14:43,600 --> 00:14:45,400 Speaker 1: you think this was really, I think it's a shame 309 00:14:45,440 --> 00:14:45,680 Speaker 1: on you. 310 00:14:45,720 --> 00:14:47,920 Speaker 2: Mo. I mean I think again, I think a lot 311 00:14:47,960 --> 00:14:50,320 Speaker 2: of people the minute that they heard about this, I 312 00:14:50,360 --> 00:14:52,280 Speaker 2: was like, I called bullshit on this. 313 00:14:52,400 --> 00:14:54,600 Speaker 1: I called bullshit. I'm sorry every single time. 314 00:14:55,160 --> 00:14:57,560 Speaker 2: Again, like I said, when I heard that he was 315 00:14:57,600 --> 00:14:59,120 Speaker 2: doing it, I was just like, there's no. 316 00:14:58,960 --> 00:15:01,040 Speaker 1: Way, There's no way. I didn't even pause. We were 317 00:15:01,040 --> 00:15:03,800 Speaker 1: watching a movie. I didn't even pause that. I just 318 00:15:03,880 --> 00:15:06,560 Speaker 1: like I texted. I texted a friends and I was 319 00:15:06,640 --> 00:15:09,880 Speaker 1: like another one. She was like, yeah, okay, what do 320 00:15:09,760 --> 00:15:13,720 Speaker 1: you it was? Has anyone seen the New Spider Man? Yeah? 321 00:15:14,640 --> 00:15:17,240 Speaker 2: Of the dark, but a new lipstick? Like that's again, 322 00:15:17,400 --> 00:15:21,320 Speaker 2: that's like, that's what color red. I leaned towards reds. 323 00:15:21,360 --> 00:15:22,320 Speaker 2: I enjoy a good red. 324 00:15:22,440 --> 00:15:24,200 Speaker 1: Yeah, do you have like a preferred Yeah? 325 00:15:24,280 --> 00:15:28,680 Speaker 2: Right now, my favorite red happens to be the Finisha. No, 326 00:15:28,920 --> 00:15:32,000 Speaker 2: that's a good color color. I would wear that vicious. 327 00:15:32,520 --> 00:15:34,400 Speaker 1: I want to do like a line of makeup and 328 00:15:34,480 --> 00:15:36,440 Speaker 1: now polish colors that have names like that. 329 00:15:37,240 --> 00:15:40,000 Speaker 2: Yeah, there was I can't remember who it was. 330 00:15:40,040 --> 00:15:41,440 Speaker 1: It was a rapid dog bite. 331 00:15:41,640 --> 00:15:43,880 Speaker 2: No, there was like a like a rapturess. I can't 332 00:15:43,920 --> 00:15:47,440 Speaker 2: remember what her name was, but she had no I 333 00:15:47,480 --> 00:15:50,040 Speaker 2: don't know, but she had a line, a makeup line, 334 00:15:50,120 --> 00:15:52,760 Speaker 2: and all the names of the products were like disgusting. 335 00:15:52,840 --> 00:15:56,120 Speaker 2: One was like vaginal discharge or something like. 336 00:15:57,160 --> 00:16:01,960 Speaker 1: Yeah. Anyway, so he had to sit down interview with 337 00:16:02,040 --> 00:16:06,640 Speaker 1: Nora and just really tore into her about how she's disgraceful. 338 00:16:06,760 --> 00:16:10,080 Speaker 2: Well it starts out okay, right where, and you know, 339 00:16:10,240 --> 00:16:13,480 Speaker 2: just it's and it is Trump being Trump, sort of 340 00:16:13,560 --> 00:16:18,040 Speaker 2: like going off and rambling and saying whatever. And she 341 00:16:18,480 --> 00:16:21,040 Speaker 2: asks him some normal questions and she was like, were 342 00:16:21,080 --> 00:16:25,240 Speaker 2: you afraid? Yeah, no, I wasn't afraid. I wasn't afraid. 343 00:16:25,920 --> 00:16:29,680 Speaker 2: And she looked because the first lady, well yeah, but 344 00:16:30,040 --> 00:16:34,640 Speaker 2: she knew that I was there. You're the least helpful 345 00:16:34,680 --> 00:16:36,080 Speaker 2: person on the planet, sir. 346 00:16:37,080 --> 00:16:39,720 Speaker 1: He fell asleep during a press conference last week. 347 00:16:41,440 --> 00:16:43,600 Speaker 2: And then so she goes on and she's reading this 348 00:16:43,720 --> 00:16:47,600 Speaker 2: guy's manifesto and she's reading it Trump but like, looking 349 00:16:47,600 --> 00:16:48,360 Speaker 2: at her, he's like. 350 00:16:48,440 --> 00:16:51,880 Speaker 4: You know, I'll do this interview and they'll probably read 351 00:16:51,920 --> 00:16:55,520 Speaker 4: the manifesto. You know, it's a sick person, but you 352 00:16:55,560 --> 00:16:58,800 Speaker 4: should be ashamed of yourself reading there because I'm not 353 00:16:58,960 --> 00:17:04,600 Speaker 4: any of those things. Excuse me. You shouldn't be reading 354 00:17:04,640 --> 00:17:07,120 Speaker 4: that in sixty minutes. You're a disgrace. But go ahead, 355 00:17:07,200 --> 00:17:08,200 Speaker 4: let's finish the interview. 356 00:17:09,040 --> 00:17:12,119 Speaker 2: She's like, oh, okay, it's the manifesto. I didn't I 357 00:17:12,160 --> 00:17:14,719 Speaker 2: didn't write this, mister president. I didn't write like and 358 00:17:14,760 --> 00:17:15,160 Speaker 2: he's just. 359 00:17:15,119 --> 00:17:17,919 Speaker 1: Like she doesn't even like bite, yeah, she doesn't. 360 00:17:18,040 --> 00:17:20,879 Speaker 2: She's like, okay, I mean she's a professor, goes on 361 00:17:21,440 --> 00:17:24,120 Speaker 2: and she's trying, you know, but this is his manifesto, sir. 362 00:17:24,480 --> 00:17:25,600 Speaker 2: He's like, you're disgusting. 363 00:17:25,800 --> 00:17:29,240 Speaker 1: She's like okay, all right, yeah, yeah, all right, well yeah, 364 00:17:29,280 --> 00:17:32,200 Speaker 1: I know to feel like it is one of those 365 00:17:33,400 --> 00:17:36,720 Speaker 1: I have moments like that sometimes in court or with 366 00:17:36,840 --> 00:17:41,240 Speaker 1: clients where they're tearing into me or with other lawyers. 367 00:17:41,840 --> 00:17:45,560 Speaker 1: I'm like, okay, so dead air is what you kind 368 00:17:45,560 --> 00:17:48,120 Speaker 1: of got. Yeah, like that's it, Yeah, Like that's it right. 369 00:17:48,359 --> 00:17:48,760 Speaker 2: Yeah. 370 00:17:48,800 --> 00:17:51,920 Speaker 1: I feel like if someone isn't willing to engage in 371 00:17:52,000 --> 00:17:54,400 Speaker 1: and then this is like so far beyond this interview, right, 372 00:17:54,400 --> 00:17:56,280 Speaker 1: But like, if someone's not willing to engage with you 373 00:17:56,359 --> 00:17:59,040 Speaker 1: and any sort of conversation, it's just a waste of 374 00:17:59,080 --> 00:18:01,879 Speaker 1: your breath. So why do we bother not saying this 375 00:18:02,000 --> 00:18:04,280 Speaker 1: about you know, the sit down interview, do your thing, 376 00:18:04,359 --> 00:18:06,800 Speaker 1: sixty minutes like sell the odd time. But for me, 377 00:18:06,840 --> 00:18:11,480 Speaker 1: I'm like, if someone's not willing to actually talk to me, 378 00:18:12,119 --> 00:18:14,359 Speaker 1: I've got to other people I'd rather much rather spend 379 00:18:14,359 --> 00:18:15,159 Speaker 1: that time talking to. 380 00:18:15,400 --> 00:18:17,480 Speaker 2: But they needed to do this, right, of course, they 381 00:18:17,560 --> 00:18:20,120 Speaker 2: needed to do this. I was just thinking, I'm actually 382 00:18:20,200 --> 00:18:23,240 Speaker 2: really surprised that he opted to do this with sixty 383 00:18:23,359 --> 00:18:24,840 Speaker 2: minutes as opposed to. 384 00:18:24,960 --> 00:18:28,040 Speaker 1: Fox, Like that was surprising, you know what I mean, 385 00:18:28,080 --> 00:18:28,760 Speaker 1: Like like. 386 00:18:28,840 --> 00:18:30,199 Speaker 2: This, if this is what you're going to do, and 387 00:18:30,240 --> 00:18:32,240 Speaker 2: there's a narrative you're trying to spin it to be 388 00:18:32,280 --> 00:18:36,120 Speaker 2: a certain way, go where they're friendlier to you, Yes, yes, right, 389 00:18:36,200 --> 00:18:37,040 Speaker 2: go where they love you. 390 00:18:37,240 --> 00:18:40,720 Speaker 1: Yes. And I think that Fox has been pretty critical 391 00:18:41,800 --> 00:18:45,120 Speaker 1: and what they've been I've been noticing it. Last week 392 00:18:45,160 --> 00:18:49,840 Speaker 1: before the shooting, Yeah, stage shooting, they were they were 393 00:18:49,880 --> 00:18:53,520 Speaker 1: pretty they've been pretty like hard on him and the 394 00:18:53,560 --> 00:18:56,040 Speaker 1: New York Post as well. I've been noticing just I'm 395 00:18:56,080 --> 00:18:59,040 Speaker 1: noticing the shift how like the Republican Party is kind 396 00:18:59,080 --> 00:19:02,199 Speaker 1: of like cut their losses and they're like, let's just 397 00:19:02,240 --> 00:19:05,560 Speaker 1: distance ourselves as much as we can from this. We've 398 00:19:05,560 --> 00:19:08,919 Speaker 1: got Cash Battel doing body shots like in ice luges, 399 00:19:09,000 --> 00:19:09,840 Speaker 1: and like, what are we? 400 00:19:10,000 --> 00:19:10,080 Speaker 5: Like? 401 00:19:10,160 --> 00:19:11,360 Speaker 1: What is We've got? 402 00:19:11,400 --> 00:19:16,560 Speaker 2: The been a more useless man? Has there ever been 403 00:19:17,160 --> 00:19:19,479 Speaker 2: a more useless man than Cash Btel? 404 00:19:19,720 --> 00:19:22,600 Speaker 1: I'm sorry, it's like, what good are you? 405 00:19:23,000 --> 00:19:24,240 Speaker 2: What good are you? 406 00:19:24,920 --> 00:19:25,040 Speaker 4: Like? 407 00:19:25,280 --> 00:19:26,880 Speaker 2: I wonder if he looks at himself in the mirror 408 00:19:26,880 --> 00:19:30,040 Speaker 2: and he's just like, I fucking suck. They're the worst. 409 00:19:30,520 --> 00:19:35,200 Speaker 2: I'm the worst. I am useless and just sitting there flailing. 410 00:19:43,359 --> 00:19:44,480 Speaker 1: Like I really thought about this. 411 00:19:45,040 --> 00:19:47,840 Speaker 2: I mean, but it's like it's it's again. You know 412 00:19:47,880 --> 00:19:50,399 Speaker 2: what I really hate about these people. Let me tell you. 413 00:19:50,440 --> 00:19:51,600 Speaker 5: What I tell. 414 00:19:53,119 --> 00:19:55,000 Speaker 2: Is that this is what they bring out of me. 415 00:19:55,320 --> 00:19:57,399 Speaker 2: I am not this person. I don't kick people on 416 00:19:57,440 --> 00:20:00,680 Speaker 2: the fucking subway. I don't hate people with the one 417 00:20:00,760 --> 00:20:05,040 Speaker 2: going this is what I'm saying. This is not who 418 00:20:05,119 --> 00:20:07,639 Speaker 2: I am. But these people have heard too somebody that 419 00:20:07,720 --> 00:20:08,400 Speaker 2: I don't like. 420 00:20:10,000 --> 00:20:12,560 Speaker 1: Be the changer, don't want to see in the world. 421 00:20:13,840 --> 00:20:17,960 Speaker 2: And like it's too much. 422 00:20:16,760 --> 00:20:19,360 Speaker 1: Everything is burning, and. 423 00:20:19,400 --> 00:20:21,720 Speaker 2: Everything's burning and nothing shall remain. 424 00:20:22,480 --> 00:20:25,040 Speaker 1: There are all these photos of Cash after the shooting, 425 00:20:25,440 --> 00:20:27,560 Speaker 1: just looking confused on his phone like he was the 426 00:20:27,640 --> 00:20:30,479 Speaker 1: last to get the memo that he got fired, the 427 00:20:30,560 --> 00:20:32,840 Speaker 1: last to find out about the shooting he was at. 428 00:20:33,240 --> 00:20:35,560 Speaker 2: He was at you see him with the best. The 429 00:20:35,600 --> 00:20:38,679 Speaker 2: best is when. So afterwards, right, they go and they're 430 00:20:38,720 --> 00:20:42,680 Speaker 2: doing this news conference and everyone's there in their tuxes. 431 00:20:43,119 --> 00:20:45,880 Speaker 2: And if you look at Cash Betel behind the president, 432 00:20:46,320 --> 00:20:49,520 Speaker 2: look and shook, he's like he's coming down off of 433 00:20:49,640 --> 00:20:55,360 Speaker 2: something like I can't blink, I'm coming down off the high. 434 00:20:55,520 --> 00:20:58,560 Speaker 1: It's true that comed out is really hard for some drugs, 435 00:20:58,600 --> 00:21:04,480 Speaker 1: so that is the crash out, a crash out Patel, 436 00:21:05,280 --> 00:21:06,200 Speaker 1: it is. 437 00:21:06,240 --> 00:21:10,040 Speaker 2: He's looking super scared, very nervous. It's like a little anxious. 438 00:21:10,200 --> 00:21:12,000 Speaker 1: I was not ready to be on in a press 439 00:21:12,080 --> 00:21:14,560 Speaker 1: conference tonight that he was the last to find out 440 00:21:14,600 --> 00:21:18,040 Speaker 1: about his own stage shooting, and that is and he's 441 00:21:18,080 --> 00:21:19,840 Speaker 1: also the last to find out that he got fired. 442 00:21:19,840 --> 00:21:21,520 Speaker 1: Because I think it's gonna happen this week. 443 00:21:21,640 --> 00:21:22,600 Speaker 2: Think's gonna happen this week. 444 00:21:22,600 --> 00:21:24,680 Speaker 1: I think by the time this episode airs, he'll be gone. 445 00:21:24,720 --> 00:21:26,480 Speaker 1: So I'm going to look so I'm going to record 446 00:21:26,480 --> 00:21:29,880 Speaker 1: this as why why do you think that? Because they've 447 00:21:29,920 --> 00:21:33,639 Speaker 1: already soft launched the exit before the correspondence dinner. 448 00:21:33,760 --> 00:21:36,680 Speaker 2: Do you think that he's going to be really fired 449 00:21:36,760 --> 00:21:38,239 Speaker 2: fired or do you think that he's going to be 450 00:21:38,280 --> 00:21:38,840 Speaker 2: re routed. 451 00:21:39,440 --> 00:21:42,880 Speaker 1: I like, I think he'll get fired, like like Christinome, 452 00:21:43,440 --> 00:21:44,000 Speaker 1: But she didn't. 453 00:21:44,040 --> 00:21:46,119 Speaker 2: Did she get fired? Fired? Did she get rerouted? So 454 00:21:46,200 --> 00:21:48,960 Speaker 2: fact checked me on that she's doing something else? 455 00:21:49,080 --> 00:21:52,800 Speaker 1: No, that's her husband's boobies. That's not what she's doing. Byron. 456 00:21:53,040 --> 00:21:56,919 Speaker 1: Byron's doing something else. She was fired, fired, fired, she 457 00:21:57,040 --> 00:22:00,439 Speaker 1: got fired. You're thinking Pambondy or is it Carolyn Lovit 458 00:22:00,560 --> 00:22:01,560 Speaker 1: is on maternity. 459 00:22:02,040 --> 00:22:03,199 Speaker 2: No, No, she's still there. I saw her. 460 00:22:03,440 --> 00:22:07,320 Speaker 1: She's oh yes, but she's getting ready for it. And 461 00:22:07,320 --> 00:22:09,840 Speaker 1: they're saying that Trump might give the press conferences himself. 462 00:22:09,920 --> 00:22:15,040 Speaker 2: Now, oh that I would watch that. I would watch 463 00:22:15,200 --> 00:22:18,119 Speaker 2: just to watch the cluster, just the cluster, well. 464 00:22:18,000 --> 00:22:20,200 Speaker 1: Because all the journalists. I love it. They're all trying 465 00:22:20,200 --> 00:22:22,800 Speaker 1: to they're all trying to get there. You know, they're 466 00:22:23,040 --> 00:22:24,800 Speaker 1: two minutes of airtime, like, good for them. 467 00:22:25,080 --> 00:22:26,920 Speaker 2: He gets I think she's doing something else. 468 00:22:27,480 --> 00:22:29,439 Speaker 1: Christine Olmes, Yeah, I really do. 469 00:22:29,520 --> 00:22:30,439 Speaker 2: And I don't know why. 470 00:22:30,359 --> 00:22:32,680 Speaker 1: Get any comments if you know what Christine Home is doing. 471 00:22:32,680 --> 00:22:34,600 Speaker 2: It's just like the Haitian WhatsApp groups. 472 00:22:34,640 --> 00:22:37,480 Speaker 1: She's shooting dogs and hanging out with her husband. I 473 00:22:37,480 --> 00:22:37,720 Speaker 1: don't know. 474 00:22:38,800 --> 00:22:40,479 Speaker 2: You know what my mother told me. We should call 475 00:22:40,560 --> 00:22:43,399 Speaker 2: my mother because she's the one who told me them 476 00:22:44,200 --> 00:22:45,280 Speaker 2: she has another job. 477 00:22:46,359 --> 00:22:47,320 Speaker 1: She got another job. 478 00:22:50,640 --> 00:22:52,840 Speaker 2: I swear to God again, I spent a lot of 479 00:22:52,840 --> 00:22:56,240 Speaker 2: time with my mom and getting all the misinformation from 480 00:22:56,280 --> 00:23:00,080 Speaker 2: like directly different from Magalie. There you go special on 481 00:23:00,240 --> 00:23:04,399 Speaker 2: voices the Shield of America. That's what I'm saying, isn't if. 482 00:23:04,240 --> 00:23:09,119 Speaker 1: Someone can tell me what that is, he doesn't. 483 00:23:09,200 --> 00:23:12,919 Speaker 2: I think he doesn't want to like fire fire her, okay, 484 00:23:13,040 --> 00:23:15,440 Speaker 2: and he wants to rerouted again. You're being put out 485 00:23:15,480 --> 00:23:18,840 Speaker 2: to pasture for sure, but it's not like you're on 486 00:23:18,880 --> 00:23:21,960 Speaker 2: the unemployment line. So that's what I'm saying. So do 487 00:23:22,040 --> 00:23:24,920 Speaker 2: you think that cash will be on the unemployment line 488 00:23:25,240 --> 00:23:28,200 Speaker 2: or will be rerouted somewhere? I don't know, That's what 489 00:23:28,240 --> 00:23:28,560 Speaker 2: I'm saying. 490 00:23:28,600 --> 00:23:31,560 Speaker 1: Which one's worse? Do you think fired fired? I think 491 00:23:32,119 --> 00:23:34,960 Speaker 1: he's still got to like do stuff if he does. 492 00:23:35,880 --> 00:23:38,280 Speaker 2: But it's a way for him to feel like I'm 493 00:23:38,320 --> 00:23:38,840 Speaker 2: still here. 494 00:23:39,680 --> 00:23:42,919 Speaker 1: Yeah, that's true. Useful He'll be like and he'll be 495 00:23:42,920 --> 00:23:45,400 Speaker 1: throwing that title around to get free bottle service, which 496 00:23:45,440 --> 00:23:47,639 Speaker 1: is what he likes. Yeah, he'll be at every club 497 00:23:48,200 --> 00:23:48,920 Speaker 1: asking for the. 498 00:23:49,080 --> 00:23:56,920 Speaker 2: Table service, for table service, the good booths like a 499 00:23:56,960 --> 00:23:58,400 Speaker 2: thousand dollars bottles of crystal. 500 00:23:59,560 --> 00:24:02,399 Speaker 1: Anyway, this has been the craziest recording. I'm on so 501 00:24:02,480 --> 00:24:03,840 Speaker 1: many allergy medications. 502 00:24:03,920 --> 00:24:04,200 Speaker 2: Yeah. 503 00:24:04,280 --> 00:24:05,480 Speaker 1: I went to CBS. 504 00:24:05,560 --> 00:24:08,240 Speaker 2: It was locked up, wasn't It was hocked. 505 00:24:08,080 --> 00:24:12,400 Speaker 1: Up Monday at twelve pm. I go to CBS, Hey, 506 00:24:12,600 --> 00:24:16,680 Speaker 1: can I get the allergy medication with the decongestice. 507 00:24:16,720 --> 00:24:19,200 Speaker 2: It's always locked behind is with the pharmacist. 508 00:24:19,560 --> 00:24:22,400 Speaker 1: The pharmacist, They're like, oh, no, the pharmacy's closed. 509 00:24:22,760 --> 00:24:24,000 Speaker 2: What time was it. 510 00:24:23,880 --> 00:24:25,400 Speaker 1: Monday, in the middle of the day. 511 00:24:25,520 --> 00:24:31,280 Speaker 2: Yeah, so CBS, CBS. The pharmacy closes for lunch for 512 00:24:31,320 --> 00:24:32,560 Speaker 2: like thirty minutes or now. 513 00:24:32,880 --> 00:24:35,440 Speaker 1: I think I've been working my whole life. I don't 514 00:24:35,440 --> 00:24:37,640 Speaker 1: think I've ever been allowed to take lunch. I don't 515 00:24:37,680 --> 00:24:39,399 Speaker 1: think I've ever had a lunch break. 516 00:24:39,720 --> 00:24:43,680 Speaker 2: I mean, okay, but CBSCBS does for sure. 517 00:24:44,680 --> 00:24:46,240 Speaker 1: I guess I'm not. I'm buying it once a year. 518 00:24:46,240 --> 00:24:46,720 Speaker 1: I don't really. 519 00:24:46,840 --> 00:24:49,000 Speaker 2: The allergy medication is always locked up and you have 520 00:24:49,000 --> 00:24:49,840 Speaker 2: to show ID and. 521 00:24:49,840 --> 00:24:51,119 Speaker 1: I asked for too, and he said you got to 522 00:24:51,119 --> 00:24:54,080 Speaker 1: come back tomorrow for the second one to what So 523 00:24:54,160 --> 00:24:56,600 Speaker 1: I left and came back a few hours later. Yeah, 524 00:24:56,640 --> 00:24:58,560 Speaker 1: and then I wanted two boxes, and he said, you 525 00:24:58,560 --> 00:25:00,639 Speaker 1: can't buy two at once. You have to buy them 526 00:25:00,640 --> 00:25:02,840 Speaker 1: a day apart. Because if you're. 527 00:25:02,720 --> 00:25:04,000 Speaker 2: Making the mess, Yeah. 528 00:25:03,960 --> 00:25:07,440 Speaker 1: You're making the mess one day at a time. 529 00:25:07,320 --> 00:25:08,120 Speaker 2: One day at a time. 530 00:25:08,119 --> 00:25:10,160 Speaker 1: You've got to make your small batch. 531 00:25:09,960 --> 00:25:12,280 Speaker 2: Homegrown, artisanal mess. 532 00:25:12,280 --> 00:25:14,600 Speaker 1: You can only make a small batch at a time. 533 00:25:14,960 --> 00:25:20,200 Speaker 1: That's a local brewery. Anyway, comment with your meth resci 534 00:25:20,280 --> 00:25:21,159 Speaker 1: people out. 535 00:25:21,240 --> 00:25:24,840 Speaker 2: Do not do that. Do not do that method is 536 00:25:24,840 --> 00:25:26,160 Speaker 2: bad for you. 537 00:25:26,160 --> 00:25:27,640 Speaker 1: Your body actually needs a little bit. 538 00:25:28,320 --> 00:25:31,399 Speaker 2: Do not listen to Michael everything in moderation. Michael is 539 00:25:31,920 --> 00:25:34,680 Speaker 2: a lawyer, he's not a doctor. 540 00:25:35,400 --> 00:25:38,080 Speaker 1: That's true. Yeah, do you lie to your doctor? 541 00:25:38,320 --> 00:25:39,280 Speaker 2: Which doctor? 542 00:25:39,320 --> 00:25:40,840 Speaker 1: Any of them? You lie to them? 543 00:25:40,920 --> 00:25:42,840 Speaker 2: I have I lie to my doctor. It depends on 544 00:25:42,880 --> 00:25:43,720 Speaker 2: what it is, though. 545 00:25:43,560 --> 00:25:45,879 Speaker 1: And you know what, that's your job to figure out 546 00:25:45,920 --> 00:25:47,639 Speaker 1: if I'm lying. That should be party of you know 547 00:25:47,640 --> 00:25:48,200 Speaker 1: who I've lied to? 548 00:25:48,240 --> 00:25:49,440 Speaker 2: Which is really really. 549 00:25:50,560 --> 00:25:52,240 Speaker 1: That is my heart take, that's my fucked up take. 550 00:25:52,760 --> 00:25:54,040 Speaker 2: I've lied to my therapist. 551 00:25:54,200 --> 00:25:54,639 Speaker 1: Good for you. 552 00:25:54,840 --> 00:25:55,800 Speaker 2: I don't want to get into it. 553 00:25:56,560 --> 00:25:58,560 Speaker 1: Do you need to does your therapist tell you anything 554 00:25:58,600 --> 00:26:02,600 Speaker 1: about your like their life occasionally. Really, yes, that's actually 555 00:26:02,640 --> 00:26:04,040 Speaker 1: they're not supposed to do that. I don't think. 556 00:26:04,400 --> 00:26:07,240 Speaker 2: I think I've had a few do that, and I 557 00:26:07,240 --> 00:26:09,880 Speaker 2: think they've been telling me about their life to let 558 00:26:09,880 --> 00:26:12,199 Speaker 2: me know that some feeling that I'm feeling is normal, 559 00:26:12,840 --> 00:26:14,560 Speaker 2: if you know what I mean. Yeah, I saw old 560 00:26:14,600 --> 00:26:16,200 Speaker 2: therapists on the street the other day. 561 00:26:16,440 --> 00:26:18,800 Speaker 1: Really, it was weird. Did you just start crying? 562 00:26:18,920 --> 00:26:19,040 Speaker 4: No? 563 00:26:19,080 --> 00:26:21,199 Speaker 2: I didn't. I texted him later, I was like, I 564 00:26:21,240 --> 00:26:25,400 Speaker 2: saw you a grandson test I did, and he told 565 00:26:25,400 --> 00:26:28,320 Speaker 2: me he was on his way to his son's baseball game. 566 00:26:28,359 --> 00:26:32,400 Speaker 1: I texted the therapist once years later, just to let 567 00:26:32,440 --> 00:26:35,520 Speaker 1: her know that I had done something that I was 568 00:26:35,640 --> 00:26:39,080 Speaker 1: very afraid of that I worked with her on Okay, 569 00:26:39,119 --> 00:26:40,560 Speaker 1: and I was like, hey, I just wanted to let 570 00:26:40,600 --> 00:26:42,000 Speaker 1: you know, like I finally did that thing. 571 00:26:42,200 --> 00:26:42,720 Speaker 2: Was she proud of you? 572 00:26:42,840 --> 00:26:44,919 Speaker 1: A big one? I did my big one, and I 573 00:26:44,960 --> 00:26:46,480 Speaker 1: just wanted to let you know, like, hope you're well, 574 00:26:46,520 --> 00:26:48,000 Speaker 1: Like it wasn't like a hand let's talk. 575 00:26:48,080 --> 00:26:48,240 Speaker 5: Yeah. 576 00:26:48,280 --> 00:26:50,119 Speaker 1: Yeah, And she wrote back because she was like, oh 577 00:26:50,160 --> 00:26:52,240 Speaker 1: my god, that's so great. I'm so happy to hear it. 578 00:26:52,320 --> 00:26:55,359 Speaker 1: Like I just wanted to, like, hey, Diva, want you 579 00:26:55,400 --> 00:26:58,560 Speaker 1: to know that eventually all that blood, sweat inters you 580 00:26:58,640 --> 00:27:01,520 Speaker 1: put into I eventually got over. 581 00:27:01,480 --> 00:27:04,000 Speaker 2: The therapist that I saw on the street. I changed 582 00:27:04,000 --> 00:27:05,200 Speaker 2: my life. He was wonderful. 583 00:27:05,280 --> 00:27:08,240 Speaker 1: Yeah, I did therapists once. Tell me, will you help 584 00:27:08,280 --> 00:27:09,440 Speaker 1: me pick out a therapist once? 585 00:27:09,440 --> 00:27:10,840 Speaker 2: Do you remember that I did. 586 00:27:10,960 --> 00:27:15,679 Speaker 1: We were today, yes, and you were like, Michael, you 587 00:27:15,720 --> 00:27:18,800 Speaker 1: need a gay therapist because you have a black therapist. Yes, 588 00:27:19,000 --> 00:27:20,240 Speaker 1: And you were like, I don't want to have to 589 00:27:20,240 --> 00:27:21,920 Speaker 1: explain to a white therapist what it's like being a 590 00:27:21,960 --> 00:27:22,400 Speaker 1: black woman. 591 00:27:22,520 --> 00:27:23,240 Speaker 2: One has that time. 592 00:27:23,280 --> 00:27:25,080 Speaker 1: And I was like, I don't think I should have 593 00:27:25,080 --> 00:27:26,720 Speaker 1: to explain you know what it's like. 594 00:27:27,000 --> 00:27:27,200 Speaker 5: No. 595 00:27:27,480 --> 00:27:28,520 Speaker 1: Yeah, so. 596 00:27:30,520 --> 00:27:31,160 Speaker 2: We were good. 597 00:27:31,359 --> 00:27:35,800 Speaker 1: Melissa and I were scrolling through psychology today no and 598 00:27:36,480 --> 00:27:37,960 Speaker 1: I was like, how can you? And I was like, 599 00:27:38,000 --> 00:27:39,959 Speaker 1: well what about this one? And you were like, no, 600 00:27:40,040 --> 00:27:41,600 Speaker 1: I don't think he's gay. And I showed you one 601 00:27:41,600 --> 00:27:43,360 Speaker 1: and you went, well he's gay. 602 00:27:45,359 --> 00:27:49,679 Speaker 2: Yeah, And I picked him and he was you're welcome. 603 00:27:49,760 --> 00:27:51,840 Speaker 1: She did enough of a thumbnail about the size of 604 00:27:51,880 --> 00:27:56,879 Speaker 1: a quarter, I'm telling you. She said, Oh, well, I 605 00:27:56,920 --> 00:28:01,920 Speaker 1: don't have that time. Carl's gay. An he was good anyway, 606 00:28:02,160 --> 00:28:04,600 Speaker 1: let's get into under Oath. We've got an incredible guest today. 607 00:28:04,680 --> 00:28:05,240 Speaker 2: We're excited. 608 00:28:05,359 --> 00:28:10,959 Speaker 1: Stick around, we'll be right back under oath. Welcome back 609 00:28:11,000 --> 00:28:13,480 Speaker 1: to brief Recess. This is under Oath. We are joined 610 00:28:13,480 --> 00:28:16,639 Speaker 1: by the incredible Emily Galvin Almonza, who's the co founder 611 00:28:16,680 --> 00:28:20,760 Speaker 1: and executive director of Partners for Justice. She recently wrote 612 00:28:20,760 --> 00:28:24,640 Speaker 1: a book titled The Price of Mercy, Unfair Trials of Violence, 613 00:28:24,680 --> 00:28:28,000 Speaker 1: System and a Public Defender Search for Justice in America. 614 00:28:28,040 --> 00:28:29,639 Speaker 5: Thank you so much for having me. I'm thrilled to 615 00:28:29,640 --> 00:28:29,960 Speaker 5: be here. 616 00:28:30,040 --> 00:28:32,960 Speaker 2: Hi, Emily, We're happy to have you, so I'm so 617 00:28:33,000 --> 00:28:33,760 Speaker 2: excited to have you. 618 00:28:33,800 --> 00:28:36,200 Speaker 1: I've been following your work on social media for quite 619 00:28:36,200 --> 00:28:39,120 Speaker 1: some time. If you haven't gotten an opportunity to check 620 00:28:39,120 --> 00:28:42,400 Speaker 1: out Emily and what she's doing on the internet, it's incredible. 621 00:28:43,520 --> 00:28:46,800 Speaker 1: Her book really is extraordinary. It takes us behind closed 622 00:28:46,840 --> 00:28:51,080 Speaker 1: doors in America's criminal courts, something I'm very familiar with 623 00:28:51,120 --> 00:28:53,240 Speaker 1: and something we talk about a lot on the show, 624 00:28:53,920 --> 00:28:57,480 Speaker 1: and it reveals really how the institutions that claim to 625 00:28:57,520 --> 00:29:00,959 Speaker 1: protect us, that are there to serve justice, are actually 626 00:29:00,960 --> 00:29:04,280 Speaker 1: doing the exact opposite quite often. It's something that I 627 00:29:04,360 --> 00:29:06,600 Speaker 1: encounter an immigration court all the time. It's something that 628 00:29:06,640 --> 00:29:10,640 Speaker 1: I've encountered in my criminal practice. Emily, in your book, 629 00:29:10,680 --> 00:29:14,040 Speaker 1: you really offer a blueprint for how to fix this right, 630 00:29:14,160 --> 00:29:16,960 Speaker 1: like how to sort of like move forward. I would 631 00:29:17,040 --> 00:29:18,760 Speaker 1: just love to hear a little bit about the book 632 00:29:18,840 --> 00:29:19,880 Speaker 1: and what it sort of covers. 633 00:29:20,200 --> 00:29:23,120 Speaker 5: Yeah, so you can't do a whole book that's just 634 00:29:23,200 --> 00:29:27,360 Speaker 5: how bad stuff is. Nobody wants to stick around for that. 635 00:29:27,800 --> 00:29:31,960 Speaker 5: And in fact, I was trying really consciously to give 636 00:29:32,040 --> 00:29:36,360 Speaker 5: people foundational knowledge about how bad stuff is so that 637 00:29:36,360 --> 00:29:39,200 Speaker 5: they can be conversant in all of the ways in 638 00:29:39,240 --> 00:29:42,360 Speaker 5: which these systems fail us, even if they have been 639 00:29:42,440 --> 00:29:44,800 Speaker 5: so lucky in their life is to never have interacted 640 00:29:44,800 --> 00:29:46,560 Speaker 5: with the criminal court system. I wanted them to hear, 641 00:29:47,000 --> 00:29:49,520 Speaker 5: like soup to nuts, how is it bad? And also 642 00:29:49,880 --> 00:29:52,720 Speaker 5: how are all the bad pieces working together to make 643 00:29:52,760 --> 00:29:56,120 Speaker 5: each other worse? Because that's something we often miss out on, 644 00:29:56,200 --> 00:29:58,959 Speaker 5: is that this is like it's an apparatus, it's machinery. 645 00:30:00,000 --> 00:30:02,760 Speaker 5: And I wanted to once we've thoroughly depressed people and 646 00:30:02,760 --> 00:30:06,680 Speaker 5: made them look like fire, then we go into talking 647 00:30:06,760 --> 00:30:09,680 Speaker 5: about a number of things, which I think some of 648 00:30:09,680 --> 00:30:11,600 Speaker 5: them could be termed solutions, and some of them are 649 00:30:11,640 --> 00:30:15,960 Speaker 5: like ameliorations. But the bottom line is the number of 650 00:30:16,000 --> 00:30:21,960 Speaker 5: ways in which we could do better, build more public safety, better, 651 00:30:22,240 --> 00:30:24,600 Speaker 5: you know, health and ability to thrive, and also a 652 00:30:24,600 --> 00:30:28,280 Speaker 5: fair system, a system that puts forth some form of legitimacy. 653 00:30:28,360 --> 00:30:31,480 Speaker 5: Like the number of ways is stupid? People act like 654 00:30:31,720 --> 00:30:34,000 Speaker 5: the solutions are so hard to find you they're not. 655 00:30:34,120 --> 00:30:37,240 Speaker 5: There's like multiple studies showing a number of things would 656 00:30:37,280 --> 00:30:40,360 Speaker 5: work really really well. We just need political will to 657 00:30:40,400 --> 00:30:40,680 Speaker 5: do them. 658 00:30:40,760 --> 00:30:43,600 Speaker 1: It's interesting, you know. I mean, I think people find 659 00:30:43,640 --> 00:30:46,640 Speaker 1: me on social media or have told me that things 660 00:30:46,720 --> 00:30:49,080 Speaker 1: that they are drawn to about my social media is 661 00:30:49,120 --> 00:30:52,080 Speaker 1: that I offer what I always offer, and we're always 662 00:30:52,080 --> 00:30:54,400 Speaker 1: offering out on this show as well, Like what can 663 00:30:54,440 --> 00:30:57,200 Speaker 1: you do? Like what is the next step? So much 664 00:30:57,200 --> 00:30:59,760 Speaker 1: of journalism, so much of what gets covered in social 665 00:30:59,760 --> 00:31:04,040 Speaker 1: media and legacy media, is here's how fucked up everything is? 666 00:31:04,080 --> 00:31:06,640 Speaker 2: Good luck right, And like you said, I think people 667 00:31:07,480 --> 00:31:10,200 Speaker 2: we know, we know how better? Oh yeah, we would 668 00:31:10,280 --> 00:31:14,120 Speaker 2: really like a way out of that. And what can 669 00:31:14,280 --> 00:31:16,120 Speaker 2: we do as an what can I do as an 670 00:31:16,120 --> 00:31:20,040 Speaker 2: individual sort of help fix the problem, as opposed to 671 00:31:20,040 --> 00:31:22,000 Speaker 2: just being like, yep, it sucks to be here, you know. 672 00:31:22,160 --> 00:31:23,600 Speaker 5: I was just gonna say, people are so hungry for 673 00:31:23,640 --> 00:31:26,959 Speaker 5: exactly that actionable piece. Yeah, like they want to get 674 00:31:27,040 --> 00:31:29,040 Speaker 5: up tomorrow and do something which will make a dent 675 00:31:29,160 --> 00:31:30,440 Speaker 5: in the grimness of the world. 676 00:31:30,760 --> 00:31:33,479 Speaker 1: What facts did you uncover when you were writing this book. 677 00:31:33,840 --> 00:31:36,800 Speaker 1: Take us through some of the really surprising things you learned. 678 00:31:37,520 --> 00:31:39,600 Speaker 1: It's okay if you depress us. We will get into 679 00:31:39,640 --> 00:31:41,880 Speaker 1: what you can do next, how people can help, how 680 00:31:41,920 --> 00:31:44,880 Speaker 1: people can channel their anger and use that as impetus 681 00:31:44,920 --> 00:31:47,760 Speaker 1: to affect change. But talk us through like the things 682 00:31:47,760 --> 00:31:49,640 Speaker 1: you found as you were looking really hard at the 683 00:31:49,680 --> 00:31:50,840 Speaker 1: criminal justice system. 684 00:31:51,040 --> 00:31:53,440 Speaker 5: A lot of this for me was not purely surprising, 685 00:31:53,480 --> 00:31:56,280 Speaker 5: because I spent ten years as a public defender, and 686 00:31:56,360 --> 00:31:58,760 Speaker 5: now I work with public defenders all across the country, 687 00:31:58,760 --> 00:32:02,200 Speaker 5: helping them expand their practice and build sort of more effective, 688 00:32:02,200 --> 00:32:05,680 Speaker 5: more beautiful forms of public defense. And before that, I 689 00:32:05,760 --> 00:32:08,000 Speaker 5: was a kid who actually needed to be defended. So 690 00:32:08,040 --> 00:32:11,160 Speaker 5: I have been on both sides of this. I've been 691 00:32:11,160 --> 00:32:13,640 Speaker 5: on multiple sides of this, and so going into this 692 00:32:13,760 --> 00:32:17,920 Speaker 5: work it was a little bit of like downloading everything 693 00:32:18,000 --> 00:32:21,400 Speaker 5: that I had learned over a lifetime into a set 694 00:32:21,440 --> 00:32:23,959 Speaker 5: of pages. But what I found the most surprising was that, 695 00:32:24,040 --> 00:32:28,080 Speaker 5: like in every dark corner that I poked in, I 696 00:32:28,080 --> 00:32:31,480 Speaker 5: would find something worse than I had actually experienced in practice. 697 00:32:31,920 --> 00:32:33,960 Speaker 5: So for example, you know, we've all been there. Like 698 00:32:34,240 --> 00:32:36,840 Speaker 5: I used to practice in a jurisdiction where the cops 699 00:32:36,840 --> 00:32:39,520 Speaker 5: at are local precinct would clean the mouthpiece on the 700 00:32:39,560 --> 00:32:43,160 Speaker 5: breathalyzer with an alcohol white before people used it. 701 00:32:43,280 --> 00:32:46,080 Speaker 1: Okay, oh my god, Oh no, it's alcohol. 702 00:32:46,240 --> 00:32:46,520 Speaker 5: Wait. 703 00:32:47,320 --> 00:32:49,120 Speaker 2: Alcohol, It's so stupid. 704 00:32:49,840 --> 00:32:52,400 Speaker 5: But then you know, I do the research and I 705 00:32:52,480 --> 00:32:55,440 Speaker 5: learned that there's a drug lab in that it was 706 00:32:55,520 --> 00:32:57,920 Speaker 5: you know, studied and reported the news where the ventilation 707 00:32:58,080 --> 00:33:01,800 Speaker 5: system was so bad it was literally blowing drugs all 708 00:33:01,880 --> 00:33:05,480 Speaker 5: over the lab and contaminating every sample. So like, no 709 00:33:05,600 --> 00:33:07,120 Speaker 5: matter where I thought the floor was the. 710 00:33:07,080 --> 00:33:09,080 Speaker 1: Floor, yeah, it was just it was that horse meat 711 00:33:09,080 --> 00:33:13,120 Speaker 1: disco is where they were doing all the drug testing. 712 00:33:13,320 --> 00:33:15,800 Speaker 2: I think that that is really it's astounding, right, because 713 00:33:15,800 --> 00:33:19,760 Speaker 2: you would never it would never didn't even occur to 714 00:33:19,800 --> 00:33:22,200 Speaker 2: me to wonder, how are they cleaning off the little 715 00:33:22,480 --> 00:33:25,520 Speaker 2: breathalyzer thing, right, right, And the idea that they would 716 00:33:25,600 --> 00:33:27,080 Speaker 2: use alcohol. 717 00:33:26,840 --> 00:33:29,640 Speaker 1: Oh I did. I did a continuing legal education and 718 00:33:29,680 --> 00:33:32,120 Speaker 1: this was just it was for every type of legal 719 00:33:32,160 --> 00:33:36,400 Speaker 1: practitioner we have to do legal education like throughout our life. 720 00:33:37,200 --> 00:33:39,239 Speaker 1: So it was a continuing ad class and the it 721 00:33:39,280 --> 00:33:42,400 Speaker 1: was it was like eight in the morning and he 722 00:33:42,600 --> 00:33:45,600 Speaker 1: had someone come up on stage rinse their mouth out 723 00:33:45,600 --> 00:33:48,400 Speaker 1: with listerine and then do a breathalyzer and it said 724 00:33:48,440 --> 00:33:51,040 Speaker 1: that they were like anebriated. Right, so like the whole 725 00:33:51,160 --> 00:33:53,440 Speaker 1: like you're you're right though, once you start sort of 726 00:33:53,480 --> 00:33:56,200 Speaker 1: picking away at it, it's like an onion. It just 727 00:33:56,280 --> 00:33:59,080 Speaker 1: kind of has layers and it smells worse the more 728 00:33:59,120 --> 00:34:01,800 Speaker 1: you can touch it. Yeah. When we were sort of 729 00:34:01,800 --> 00:34:03,960 Speaker 1: preparing for this interview, we were looking at some of 730 00:34:04,000 --> 00:34:07,560 Speaker 1: the facts that you uncovered researching this book about how 731 00:34:07,760 --> 00:34:11,920 Speaker 1: trees in certain neighborhoods affect crime rates. Could you sort 732 00:34:11,920 --> 00:34:13,480 Speaker 1: of tell us a little bit about that research. 733 00:34:13,760 --> 00:34:15,600 Speaker 5: I've done this thing to myself. You know how Madonna 734 00:34:15,680 --> 00:34:17,600 Speaker 5: is always called the material girl and she meets it. 735 00:34:17,680 --> 00:34:19,719 Speaker 1: Yeah, right, yeah, now you're the tree girl. 736 00:34:19,840 --> 00:34:22,360 Speaker 5: Ever, every time every time there's a cairon, it's like 737 00:34:22,360 --> 00:34:24,959 Speaker 5: public defender thinks you can fix public safety with trees. 738 00:34:25,040 --> 00:34:28,239 Speaker 1: Yep. Could you throw that up on the Can you 739 00:34:28,239 --> 00:34:30,480 Speaker 1: throw that up? CJ? Actually I want to see that. 740 00:34:31,520 --> 00:34:33,080 Speaker 1: And you know what this is on the heels of 741 00:34:33,160 --> 00:34:35,160 Speaker 1: They just announced in New York City that they want 742 00:34:35,200 --> 00:34:37,920 Speaker 1: to cover New York City and thirty percent trees by 743 00:34:37,960 --> 00:34:41,400 Speaker 1: twenty forty. Yeah, I'm so excited, which just announced this weekend. 744 00:34:41,719 --> 00:34:44,000 Speaker 5: So this is some of the some of the research 745 00:34:44,000 --> 00:34:46,359 Speaker 5: in the book that I found so thrilling. I mean, 746 00:34:46,520 --> 00:34:49,920 Speaker 5: that's sort of the twin, the good twin to the 747 00:34:49,960 --> 00:34:52,280 Speaker 5: evil of finding out that everything was worse than I thought, 748 00:34:52,840 --> 00:34:55,560 Speaker 5: is that I found a ton of solutions that were 749 00:34:55,600 --> 00:34:59,279 Speaker 5: just like easier and more available and more immediate than 750 00:34:59,320 --> 00:35:00,880 Speaker 5: I thought. I think one of my favorite ones is 751 00:35:00,920 --> 00:35:04,640 Speaker 5: like having an after school program drops youth involvement in 752 00:35:04,680 --> 00:35:07,759 Speaker 5: crime by fifty percent. Yes, it's like so achievable. But 753 00:35:07,840 --> 00:35:10,920 Speaker 5: the other things, all of these great environmental design pieces. Now, 754 00:35:11,960 --> 00:35:13,839 Speaker 5: a lot of the time, the government will put forth 755 00:35:13,880 --> 00:35:16,080 Speaker 5: this idea that a safe public environment is one that 756 00:35:16,120 --> 00:35:19,400 Speaker 5: is heavily surveilled. But when we look at the research, 757 00:35:19,800 --> 00:35:23,560 Speaker 5: we don't actually see surveillance preventing a ton of crime. 758 00:35:23,600 --> 00:35:25,360 Speaker 5: I mean it's kind of obvious if you put yourself 759 00:35:25,400 --> 00:35:27,880 Speaker 5: in the place of a person who's considering doing a crime, 760 00:35:27,960 --> 00:35:30,640 Speaker 5: Like you see a camera, who knows if anybody's watching 761 00:35:30,640 --> 00:35:32,440 Speaker 5: the other end of that camera. It's just like put 762 00:35:32,480 --> 00:35:34,680 Speaker 5: on a hat and an N ninety five like whatever. 763 00:35:35,400 --> 00:35:40,239 Speaker 5: But if a space is occupied or beautiful in a 764 00:35:40,239 --> 00:35:44,200 Speaker 5: way that suggests the space may become presently occupied by 765 00:35:44,239 --> 00:35:47,840 Speaker 5: other people, it's just not a good place to do crimes. 766 00:35:48,000 --> 00:35:51,239 Speaker 5: So then when when you see like this research on 767 00:35:51,360 --> 00:35:53,200 Speaker 5: if you've got a vacant lot and you turn it 768 00:35:53,239 --> 00:35:56,680 Speaker 5: into a community garden, crime drops if the community is 769 00:35:56,760 --> 00:35:59,880 Speaker 5: involved in creating that garden, like if they do it themselves, 770 00:36:00,120 --> 00:36:02,919 Speaker 5: crime drops even more because the space is more likely 771 00:36:02,960 --> 00:36:06,440 Speaker 5: to be utilized occupied. Every dilapidated house you fix up 772 00:36:06,520 --> 00:36:10,400 Speaker 5: drops crime by twenty percent. One of my favorite comparisons 773 00:36:10,440 --> 00:36:14,240 Speaker 5: is like, if you want to eliminate one homicide using 774 00:36:14,560 --> 00:36:18,880 Speaker 5: police saturation, you need about seventeen police officers in the 775 00:36:18,960 --> 00:36:23,080 Speaker 5: vicinity to eliminate one homicide. Okay, wow, But the City 776 00:36:23,080 --> 00:36:26,719 Speaker 5: of Philly improved street lighting, painted sidewalks, fixed up some 777 00:36:26,760 --> 00:36:31,640 Speaker 5: dilapidated spaces, and dropped youth homicides by seventy five percent. 778 00:36:31,880 --> 00:36:35,160 Speaker 1: Wow, just by fixing infrastructure, just by fixing up the 779 00:36:35,200 --> 00:36:36,480 Speaker 1: little structure. 780 00:36:36,360 --> 00:36:38,279 Speaker 5: And the beautiful thing of is like, even if I'm wrong, 781 00:36:38,280 --> 00:36:41,839 Speaker 5: even if everything I've written is wrong. We've still built 782 00:36:41,880 --> 00:36:44,719 Speaker 5: a more beautiful world and the same thing, Like this 783 00:36:44,800 --> 00:36:46,759 Speaker 5: is the tree thing. The tree thing is kind of 784 00:36:46,800 --> 00:36:50,600 Speaker 5: my favorite because it's it's well researched, but it's also mysterious. 785 00:36:50,760 --> 00:36:51,000 Speaker 4: Yeah. 786 00:36:51,520 --> 00:36:55,480 Speaker 5: So like tree. You can take two similarly situated housing complexes, right, 787 00:36:55,520 --> 00:36:57,359 Speaker 5: they're identical in every way. They've got the same type 788 00:36:57,400 --> 00:37:01,800 Speaker 5: of people living in them. If one has more trees, 789 00:37:02,800 --> 00:37:05,200 Speaker 5: the research suggests that that building will have not only 790 00:37:05,280 --> 00:37:11,720 Speaker 5: less property crime outside the building, but less domestic violence inside. Wow, 791 00:37:12,040 --> 00:37:13,080 Speaker 5: it's like people behave. 792 00:37:14,120 --> 00:37:17,680 Speaker 2: Yeah, but do we know why that might be. 793 00:37:18,160 --> 00:37:21,400 Speaker 5: There's a lot of theories. I mean, one, there's just 794 00:37:21,480 --> 00:37:24,160 Speaker 5: a behavioral piece, where like people behave differently in beautiful 795 00:37:24,160 --> 00:37:26,200 Speaker 5: places than they do in ely places. Like that's just 796 00:37:26,239 --> 00:37:29,839 Speaker 5: a fact like that, it's context, but it's also there's 797 00:37:29,840 --> 00:37:33,279 Speaker 5: really interesting research connecting beauty with longevity, Like people who 798 00:37:33,360 --> 00:37:35,920 Speaker 5: live in spaces where they can take in beauty live 799 00:37:36,040 --> 00:37:39,880 Speaker 5: longer than people who are deprived of that. There's also 800 00:37:40,000 --> 00:37:42,040 Speaker 5: the pollution factor. I mean, there's a lot of research 801 00:37:42,040 --> 00:37:45,839 Speaker 5: showing correlation between air pollution and sort of any form 802 00:37:45,840 --> 00:37:50,239 Speaker 5: of ingested pollution and behavioral impact. Trees, of course, clean 803 00:37:50,239 --> 00:37:52,560 Speaker 5: our air. A lot of the time, the smog layer 804 00:37:52,640 --> 00:37:54,719 Speaker 5: is going to hover like in the mid layer of 805 00:37:54,719 --> 00:37:56,799 Speaker 5: a building. So smog is not going to be worse 806 00:37:56,880 --> 00:37:58,239 Speaker 5: on the first floor. It's going to be worse a 807 00:37:58,239 --> 00:38:00,799 Speaker 5: little bit higher up. But that's exactly where you find 808 00:38:00,840 --> 00:38:03,600 Speaker 5: the tree layer. I mean, so there's nobody can tell 809 00:38:03,600 --> 00:38:07,319 Speaker 5: you definitively why the trees are making people not like 810 00:38:07,440 --> 00:38:09,319 Speaker 5: shove their but. 811 00:38:11,360 --> 00:38:12,919 Speaker 1: The evidence is there. 812 00:38:13,560 --> 00:38:16,120 Speaker 2: We don't exactly know why, but yes, but the evidence 813 00:38:16,160 --> 00:38:17,120 Speaker 2: is so. 814 00:38:17,160 --> 00:38:21,920 Speaker 1: We brought you on not as an arborist, but we 815 00:38:22,080 --> 00:38:25,200 Speaker 1: brought you really to talk about the criminal justice system. 816 00:38:25,239 --> 00:38:27,919 Speaker 1: But I know it's an interesting sort of talking point, 817 00:38:27,920 --> 00:38:30,040 Speaker 1: and I get it. Sometimes there are these headlines that 818 00:38:30,160 --> 00:38:33,680 Speaker 1: linger around our name. I will forever be the guy 819 00:38:33,719 --> 00:38:37,840 Speaker 1: whose name is on the list of ice lawyers, like 820 00:38:37,920 --> 00:38:41,160 Speaker 1: the lawyers up against I will always be asked about that. 821 00:38:41,200 --> 00:38:43,440 Speaker 1: I'm very happy to be asked about that. But you 822 00:38:43,560 --> 00:38:46,960 Speaker 1: talk a lot about the prison system and how jails 823 00:38:47,000 --> 00:38:49,840 Speaker 1: actually increase crime, right, And a lot of defense attorneys 824 00:38:49,880 --> 00:38:53,480 Speaker 1: know this. A lot of people who are insider baseball 825 00:38:53,600 --> 00:38:56,759 Speaker 1: a part of the criminal justice system understand this. Right 826 00:38:56,840 --> 00:38:59,239 Speaker 1: When I have a client who was mentally ill who 827 00:38:59,320 --> 00:39:02,440 Speaker 1: committed a crime because they were experiencing you know, extreme 828 00:39:02,480 --> 00:39:05,960 Speaker 1: mental illness symptoms psychosis, who then get arrested for a 829 00:39:06,000 --> 00:39:08,400 Speaker 1: crime and go to prison for a year, their illness 830 00:39:08,480 --> 00:39:12,560 Speaker 1: gets worse. They're oftentimes learning how to commit more crimes, 831 00:39:12,760 --> 00:39:17,400 Speaker 1: recidivism rates, learning from other criminals, getting like making friends 832 00:39:17,400 --> 00:39:20,600 Speaker 1: with other criminals, and then leaving. Now they're on parole, 833 00:39:21,239 --> 00:39:24,360 Speaker 1: and anytime they do any little thing, they're back in prison. 834 00:39:24,520 --> 00:39:24,719 Speaker 4: Right. 835 00:39:25,000 --> 00:39:27,560 Speaker 1: So this is very clear and well documented in so 836 00:39:27,680 --> 00:39:32,120 Speaker 1: many legal circles. But I think I think the mainstream, 837 00:39:32,520 --> 00:39:35,760 Speaker 1: everyday person is slowly starting to get socialized to this idea, 838 00:39:35,880 --> 00:39:36,760 Speaker 1: right exactly. 839 00:39:36,840 --> 00:39:39,720 Speaker 5: No, So I often, and I take great pleasure saying 840 00:39:39,719 --> 00:39:42,560 Speaker 5: this as a woman speaking publicly, that like, our current 841 00:39:42,920 --> 00:39:45,520 Speaker 5: criminal legal policy is very emotional, and I just wish 842 00:39:45,600 --> 00:39:50,439 Speaker 5: it was more rational in evidence based. Yes, yeah, because 843 00:39:50,440 --> 00:39:52,239 Speaker 5: it's all based on like who were scared of and 844 00:39:52,239 --> 00:39:54,200 Speaker 5: who we're mad at, and like, let's do bad stuff 845 00:39:54,200 --> 00:39:55,760 Speaker 5: that people were mad at and yeah. 846 00:39:55,719 --> 00:39:58,360 Speaker 2: And you know vengeance, right, let's get them. You know 847 00:39:58,400 --> 00:39:59,960 Speaker 2: this person did this, let's get. 848 00:39:59,760 --> 00:40:04,840 Speaker 5: Them exactly, and we get there because that's free political 849 00:40:04,880 --> 00:40:07,520 Speaker 5: points for lawmakers who don't want to actually do anything. 850 00:40:07,719 --> 00:40:12,000 Speaker 5: So exactly as you said, right, the multiple studies show 851 00:40:12,120 --> 00:40:16,799 Speaker 5: us that exposure to incarceration, particularly pre trial incarceration, is criminogenic. 852 00:40:16,920 --> 00:40:19,839 Speaker 5: The person who's in for seven days is more likely 853 00:40:19,920 --> 00:40:21,560 Speaker 5: to be re arrested than the person who was in 854 00:40:21,600 --> 00:40:24,759 Speaker 5: for two days, even if they were identical when they 855 00:40:25,000 --> 00:40:27,840 Speaker 5: went in. Interesting, and I mentioned those those numbers because 856 00:40:27,880 --> 00:40:30,720 Speaker 5: when we look at the research they're studying very short 857 00:40:30,760 --> 00:40:35,879 Speaker 5: periods of exposure to incarceration, it's exactly like you just say, 858 00:40:35,960 --> 00:40:38,840 Speaker 5: it's not super mysterious. It's a highly violent environment in 859 00:40:38,880 --> 00:40:41,080 Speaker 5: which people are traumatized, cut off from all of their 860 00:40:41,080 --> 00:40:46,000 Speaker 5: forms of opportunity and support networks, and often harmed both 861 00:40:46,040 --> 00:40:50,480 Speaker 5: like personally, psychologically, medically. But if we were making policy 862 00:40:50,480 --> 00:40:52,960 Speaker 5: that was reflective of the actual evidence, we would make 863 00:40:53,239 --> 00:40:58,080 Speaker 5: radically different policy choices. The same could be said of 864 00:40:58,120 --> 00:40:59,640 Speaker 5: you know, you mentioned somebody getting you know, being on 865 00:40:59,680 --> 00:41:02,120 Speaker 5: parole and then immediately getting pumped back into the system. 866 00:41:02,120 --> 00:41:04,839 Speaker 5: There's research in the book from a professor at UC 867 00:41:04,960 --> 00:41:08,520 Speaker 5: Berkeley who studied a naturally occurring experiment in the Midwest 868 00:41:08,880 --> 00:41:11,759 Speaker 5: which basically a state changed their laws about pretrial or 869 00:41:11,760 --> 00:41:17,480 Speaker 5: i'm sorry, post release supervision and the period of time 870 00:41:17,680 --> 00:41:21,319 Speaker 5: during which people had less post release supervision, there was 871 00:41:21,400 --> 00:41:25,759 Speaker 5: no uptick in crime, but there was a downslope in 872 00:41:25,840 --> 00:41:28,800 Speaker 5: new prison admissions. As soon as they put that intense 873 00:41:28,840 --> 00:41:33,359 Speaker 5: supervision back in place, again, no change in crime, but 874 00:41:33,400 --> 00:41:36,520 Speaker 5: prison admissions pop back up, demonstrating that this form of 875 00:41:36,560 --> 00:41:41,280 Speaker 5: supervision isn't having any impact on crime. It's just filling prisons. 876 00:41:41,600 --> 00:41:43,080 Speaker 5: And so if somebody were to look at the evidence, 877 00:41:43,080 --> 00:41:45,600 Speaker 5: they say, oh, Man, probation and parole aren't really doing 878 00:41:45,640 --> 00:41:49,080 Speaker 5: a lot in terms, there's like not worth the expense, 879 00:41:49,160 --> 00:41:52,640 Speaker 5: the massive expense. In some jurisdictions, it can cost literally 880 00:41:52,680 --> 00:41:54,920 Speaker 5: a million dollars to put a child on probation for 881 00:41:55,000 --> 00:41:58,520 Speaker 5: one year. It's not worth that when you get no 882 00:41:58,840 --> 00:41:59,800 Speaker 5: public safety benefit. 883 00:42:00,480 --> 00:42:04,240 Speaker 1: That's crazy. And I think like a lot of supplementary 884 00:42:04,520 --> 00:42:08,520 Speaker 1: service provider institutions were shut down for being too expensive. Right, 885 00:42:08,560 --> 00:42:11,840 Speaker 1: we can look at mental health hospitals that were shut 886 00:42:11,920 --> 00:42:15,000 Speaker 1: down and just said, let's have the police, let's have 887 00:42:15,160 --> 00:42:19,239 Speaker 1: the prison system, just take care of those folks, and 888 00:42:19,320 --> 00:42:21,800 Speaker 1: it'll save us a bunch of federal dollars. But it doesn't. 889 00:42:21,840 --> 00:42:24,040 Speaker 2: But it doesn't, But it doesn't. And I wonder if 890 00:42:24,360 --> 00:42:29,880 Speaker 2: I wonder why that information is not pumped out nearly 891 00:42:29,960 --> 00:42:31,719 Speaker 2: as much as it is. You know, we're going to 892 00:42:31,760 --> 00:42:33,080 Speaker 2: be hard on crime and we're going to put all 893 00:42:33,080 --> 00:42:36,760 Speaker 2: these people away when there is evidence that shows us 894 00:42:37,040 --> 00:42:39,000 Speaker 2: that that's not really how it works, right. 895 00:42:39,360 --> 00:42:42,799 Speaker 1: I think it's like Emily says, it's emotional. This is 896 00:42:42,880 --> 00:42:46,120 Speaker 1: emotional behavior. Like we talked about it with Carenn. Like 897 00:42:47,320 --> 00:42:48,880 Speaker 1: we had a guest on where we talked about the 898 00:42:48,920 --> 00:42:54,520 Speaker 1: death penalty and how you know people vengeance again down 899 00:42:54,560 --> 00:43:01,800 Speaker 1: to this like emotional reaction, a victimhood, right, And it's 900 00:43:01,960 --> 00:43:04,680 Speaker 1: just really psychological it is. 901 00:43:04,760 --> 00:43:09,000 Speaker 5: But it's also the framing, right, Like, one of the 902 00:43:09,000 --> 00:43:10,880 Speaker 5: things I'm hoping to achieve with this book is to 903 00:43:10,880 --> 00:43:13,080 Speaker 5: get people to understand that when a politician stands up 904 00:43:13,080 --> 00:43:16,840 Speaker 5: there and offers you something tough on crime, yeah, they're 905 00:43:16,880 --> 00:43:19,600 Speaker 5: offering you the status quo. The status quo is tough 906 00:43:19,600 --> 00:43:22,640 Speaker 5: on crime. If you like what we already have, yeah, 907 00:43:22,680 --> 00:43:24,759 Speaker 5: sure keep, you know, keep. The person who wants to 908 00:43:24,840 --> 00:43:27,200 Speaker 5: change nothing, doesn't want to do better. But if you 909 00:43:27,280 --> 00:43:31,320 Speaker 5: want to make a commitment when a bad thing happens, 910 00:43:31,360 --> 00:43:33,000 Speaker 5: you want to do the work to make sure that 911 00:43:33,040 --> 00:43:37,239 Speaker 5: bad thing doesn't happen. Again, that's the harder work that 912 00:43:37,280 --> 00:43:40,279 Speaker 5: requires actually looking at the evidence of what makes bad 913 00:43:40,320 --> 00:43:42,840 Speaker 5: stuff not happen. You can see it specifically in the 914 00:43:42,880 --> 00:43:46,720 Speaker 5: emotional policy offerings of a lot of lawmakers, like fentanyl, right, yeah, 915 00:43:46,840 --> 00:43:48,920 Speaker 5: you So many lawmakers are like, I'm going to increase 916 00:43:48,920 --> 00:43:50,839 Speaker 5: the sentencings that if you, you know, have to sell 917 00:43:50,880 --> 00:43:52,439 Speaker 5: a bag it's got fentanyl in it, you're gonna get 918 00:43:52,440 --> 00:43:56,319 Speaker 5: ten more years. Nobody is on the corner looking at 919 00:43:56,320 --> 00:43:57,960 Speaker 5: the bags they have and being like, well. 920 00:43:57,840 --> 00:44:01,560 Speaker 1: Let me test this right, double check. Yeah. 921 00:44:02,200 --> 00:44:04,239 Speaker 5: People think they sell when they think they're not going 922 00:44:04,320 --> 00:44:04,799 Speaker 5: to get caught. 923 00:44:04,960 --> 00:44:06,600 Speaker 1: Yeah, So, you. 924 00:44:06,560 --> 00:44:10,400 Speaker 5: Know, likelihood of intervention, a number of resources. We have 925 00:44:10,480 --> 00:44:12,759 Speaker 5: to not put people in an economic position where selling 926 00:44:12,800 --> 00:44:15,920 Speaker 5: drugs is legitimately the best option available. Like these are 927 00:44:15,960 --> 00:44:18,680 Speaker 5: things that actually lower the likelihood of fentanyl being sold. 928 00:44:19,120 --> 00:44:22,240 Speaker 5: But that's harder work and it takes a longer time scale. 929 00:44:22,280 --> 00:44:25,080 Speaker 5: So we need a voting public that's willing to demand 930 00:44:25,120 --> 00:44:27,879 Speaker 5: that and also stick with the longer time scale before 931 00:44:27,880 --> 00:44:28,760 Speaker 5: they see the results. 932 00:44:28,960 --> 00:44:32,160 Speaker 1: Who is like nailing it right now? Like is there 933 00:44:32,200 --> 00:44:34,719 Speaker 1: a jurisdiction, is there a state? Is there is there 934 00:44:34,719 --> 00:44:37,959 Speaker 1: a mayor, is there a town that is kind of 935 00:44:38,120 --> 00:44:40,720 Speaker 1: doing what we want to see more. 936 00:44:40,560 --> 00:44:44,319 Speaker 5: Of a bunch. Yeah, a bunch, there's a bunch. They're 937 00:44:44,320 --> 00:44:48,920 Speaker 5: all doing different things. So, for example, Baltimore has done 938 00:44:48,920 --> 00:44:51,800 Speaker 5: a really good job of investing in community violence, interruption 939 00:44:52,040 --> 00:44:55,919 Speaker 5: and like community services that can make it less likely 940 00:44:55,960 --> 00:44:58,280 Speaker 5: that people will get involved in violence in the first place. 941 00:44:58,520 --> 00:45:00,759 Speaker 5: Chicago also had a really good hits with cb I 942 00:45:00,800 --> 00:45:02,239 Speaker 5: in a ships see the I, by the way, is 943 00:45:02,280 --> 00:45:06,799 Speaker 5: the first thing in our sector that this administration cut. 944 00:45:07,040 --> 00:45:09,760 Speaker 5: It was like the first thing when when DJ Granzi 945 00:45:10,320 --> 00:45:14,200 Speaker 5: and it's it's suspicious because it was that in victim 946 00:45:14,280 --> 00:45:17,000 Speaker 5: services and like both community violence and interruption and victim 947 00:45:17,080 --> 00:45:20,400 Speaker 5: services are ways of like helping people heal so that 948 00:45:20,480 --> 00:45:24,279 Speaker 5: gun violence doesn't happen. So interesting to watch those get 949 00:45:24,320 --> 00:45:28,480 Speaker 5: immediately trashed. But you know, Colorado got rid of qualified 950 00:45:28,520 --> 00:45:31,840 Speaker 5: immunity for police officers. I love this because when you 951 00:45:31,880 --> 00:45:33,799 Speaker 5: talk about it, people are like, you could never get 952 00:45:33,880 --> 00:45:36,160 Speaker 5: rid of qualified immunity. That'll never happen. I'll ever pass. 953 00:45:36,200 --> 00:45:37,960 Speaker 5: Everybody would see the police would be a disaster, And 954 00:45:38,000 --> 00:45:41,400 Speaker 5: like Colorado just did it and they're fine. 955 00:45:41,800 --> 00:45:42,400 Speaker 4: And the. 956 00:45:44,480 --> 00:45:47,560 Speaker 2: Day, yeah, exactly, life went on. 957 00:45:48,520 --> 00:45:51,440 Speaker 5: California and Washington, and like a couple of other states 958 00:45:51,840 --> 00:45:55,400 Speaker 5: have dealt with the problem of how our kids get railroaded. 959 00:45:56,080 --> 00:45:59,680 Speaker 5: This is something that like every parent should know. Kids 960 00:46:00,239 --> 00:46:04,560 Speaker 5: should not talk to police alone. Children will waive their 961 00:46:04,640 --> 00:46:08,000 Speaker 5: right to counsel ninety percent of the time. Yeah, and 962 00:46:08,160 --> 00:46:10,319 Speaker 5: over a third of them will falsely confess to a 963 00:46:10,360 --> 00:46:13,000 Speaker 5: crime they did not do, and that number gets higher 964 00:46:13,040 --> 00:46:15,360 Speaker 5: the younger they are, or if they think they're covering 965 00:46:15,400 --> 00:46:19,399 Speaker 5: for a friend. So basically, none of us should want 966 00:46:19,440 --> 00:46:22,080 Speaker 5: our children talking to police alone, because one it's terrible 967 00:46:22,120 --> 00:46:24,160 Speaker 5: for the children, but two, like we're not getting any 968 00:46:24,160 --> 00:46:26,680 Speaker 5: accurate information out of it, like they're just they're just 969 00:46:26,719 --> 00:46:30,600 Speaker 5: doing they're confessing to stuff they didn't do. So California, Washington, 970 00:46:30,640 --> 00:46:32,480 Speaker 5: a few other states have passed laws that just say, like, 971 00:46:33,000 --> 00:46:34,759 Speaker 5: if the police want to talk to a child, the 972 00:46:34,840 --> 00:46:37,040 Speaker 5: child has to have a lawyer present, period, And of 973 00:46:37,200 --> 00:46:38,880 Speaker 5: they don't have to invoke they don't have to know 974 00:46:38,960 --> 00:46:40,640 Speaker 5: the magic words. 975 00:46:41,040 --> 00:46:44,239 Speaker 1: And just for illustration, I would like to share with 976 00:46:44,400 --> 00:46:50,239 Speaker 1: folks an anecdote of like a what is it like 977 00:46:50,280 --> 00:46:55,120 Speaker 1: an exacto knife? A client's a minor had an exacto 978 00:46:55,160 --> 00:47:00,560 Speaker 1: knife and the cops frisked frisked. My client found this 979 00:47:00,680 --> 00:47:03,840 Speaker 1: exact do knife, which is oftentimes needed for like school projects. 980 00:47:04,400 --> 00:47:08,919 Speaker 1: And the cops said, is the sewers And client said yes, 981 00:47:09,760 --> 00:47:13,600 Speaker 1: and this kid they said, oh is this you know? 982 00:47:14,080 --> 00:47:18,000 Speaker 1: He said it's for school and the cops said, yeah, 983 00:47:18,160 --> 00:47:21,360 Speaker 1: you probably need this for protection for the crazy people 984 00:47:21,400 --> 00:47:24,640 Speaker 1: on these streets too. Right, client says, yes to that, 985 00:47:25,040 --> 00:47:28,520 Speaker 1: you've admitted to intent to use that as a weapon. 986 00:47:29,160 --> 00:47:32,000 Speaker 1: These are not kids who are I think when people 987 00:47:32,200 --> 00:47:35,040 Speaker 1: hear that and hear you say, oh, every kid should 988 00:47:35,080 --> 00:47:38,399 Speaker 1: know this, they're thinking kids in inner city youth. We've 989 00:47:38,400 --> 00:47:42,000 Speaker 1: got inner city youth who are oftentimes coming in contact 990 00:47:42,000 --> 00:47:44,879 Speaker 1: with drugs and weapons. No, it can be something as 991 00:47:44,960 --> 00:47:48,359 Speaker 1: simple as a pen. Oh do you need this just 992 00:47:48,400 --> 00:47:52,600 Speaker 1: in case a homeless guy jumps you? Yeah, I guess. Okay, 993 00:47:52,680 --> 00:47:55,520 Speaker 1: you just admitted to intent to use this as a weapon, 994 00:47:56,000 --> 00:47:59,040 Speaker 1: and that is a crime. Right, So I think people, 995 00:47:59,120 --> 00:48:02,640 Speaker 1: I just to show people that this isn't this isn't 996 00:48:02,760 --> 00:48:05,360 Speaker 1: your kids slinging bags on the corner. 997 00:48:05,440 --> 00:48:08,120 Speaker 2: No, no, no, you know what, I really I remember this. 998 00:48:08,480 --> 00:48:11,839 Speaker 2: You know, I was a young person doing that such 999 00:48:11,880 --> 00:48:15,480 Speaker 2: a park five right where these were all young boys 1000 00:48:16,239 --> 00:48:18,920 Speaker 2: and they didn't they wouldn't let them call their parents, 1001 00:48:19,120 --> 00:48:22,560 Speaker 2: they didn't have attorneys with them, and they managed to 1002 00:48:22,600 --> 00:48:26,879 Speaker 2: somehow manipulate these young boys into admitting to something that 1003 00:48:26,920 --> 00:48:30,279 Speaker 2: they had not done. And these boys were punished, they 1004 00:48:30,320 --> 00:48:33,040 Speaker 2: went to jail, and their lives were, you know, permanently 1005 00:48:33,160 --> 00:48:36,719 Speaker 2: changed because of it. Only to find out decades later 1006 00:48:37,719 --> 00:48:40,279 Speaker 2: that they had not done this thing, but because they 1007 00:48:40,320 --> 00:48:44,279 Speaker 2: had been alone with the police who were asking them, so, 1008 00:48:44,320 --> 00:48:45,799 Speaker 2: this is the first time you had done this, and 1009 00:48:45,960 --> 00:48:47,439 Speaker 2: he was like, yeah, I guess this is the first 1010 00:48:47,440 --> 00:48:49,480 Speaker 2: time I had done that, and before you knew it, 1011 00:48:49,520 --> 00:48:54,319 Speaker 2: they had sort of railroad. Absolutely. The other thing is 1012 00:48:54,320 --> 00:48:58,280 Speaker 2: like we have always told children, especially that the police 1013 00:48:58,320 --> 00:49:01,799 Speaker 2: officer is your friend, trust them, call the cops if 1014 00:49:01,840 --> 00:49:03,640 Speaker 2: you need help, Call the cops if you need help. 1015 00:49:04,120 --> 00:49:08,719 Speaker 2: And only to realize now that especially I think black 1016 00:49:08,760 --> 00:49:10,680 Speaker 2: and brown children right are in front of these police 1017 00:49:10,680 --> 00:49:13,440 Speaker 2: officers and now they are sort of, like you said, 1018 00:49:13,760 --> 00:49:17,680 Speaker 2: manipulating the information. And now these boys, these children are 1019 00:49:18,440 --> 00:49:22,120 Speaker 2: sort of allowing themselves to be put in this position 1020 00:49:22,160 --> 00:49:24,279 Speaker 2: where there's no one to help them, and now they're 1021 00:49:24,280 --> 00:49:26,680 Speaker 2: sort of admitted to something that they really didn't do. 1022 00:49:26,719 --> 00:49:29,080 Speaker 5: And it's so isolating. To. I mean, so many the 1023 00:49:29,120 --> 00:49:32,560 Speaker 5: kids I represented exactly like you say, for stupid stuff, 1024 00:49:32,560 --> 00:49:35,120 Speaker 5: you know, possession of a screwdriver that's a burglary tool, 1025 00:49:35,360 --> 00:49:37,920 Speaker 5: possession of a pen that's a graffiti tool. You know, 1026 00:49:38,080 --> 00:49:42,759 Speaker 5: like these stupid cases. Oftentimes I might meet them when 1027 00:49:42,760 --> 00:49:45,680 Speaker 5: they were fourteen, but the first time they were followed 1028 00:49:45,680 --> 00:49:48,319 Speaker 5: home by a police officer or stopped or questioned or 1029 00:49:48,360 --> 00:49:50,759 Speaker 5: frisked or criminalized was when they were eight or nine. 1030 00:49:51,840 --> 00:49:54,600 Speaker 5: And largely this is the adultification of black boys and 1031 00:49:54,640 --> 00:49:58,239 Speaker 5: the hyper surveillance of black and brown neighborhoods. And it's 1032 00:49:58,320 --> 00:50:00,840 Speaker 5: not like the other kids at school have the privilege 1033 00:50:00,880 --> 00:50:03,600 Speaker 5: to not have that happen to them necessarily know that's 1034 00:50:03,640 --> 00:50:07,120 Speaker 5: going on, and so kids often can't turn to each 1035 00:50:07,160 --> 00:50:09,839 Speaker 5: other either. That's actually my next project, after the Price 1036 00:50:09,840 --> 00:50:12,839 Speaker 5: of Mercy, is that this fall, I have a book 1037 00:50:12,880 --> 00:50:16,439 Speaker 5: coming out called Andromeda Das and the Reasonable Doubt, which 1038 00:50:16,480 --> 00:50:18,160 Speaker 5: is a book about a little girl whose parents are 1039 00:50:18,160 --> 00:50:21,520 Speaker 5: public defenders, who knows how to defend her friends when 1040 00:50:21,520 --> 00:50:22,399 Speaker 5: they are accused of things. 1041 00:50:22,400 --> 00:50:22,759 Speaker 1: That's full. 1042 00:50:22,880 --> 00:50:25,719 Speaker 5: So it's an attempt to teach kids about we can 1043 00:50:25,760 --> 00:50:29,000 Speaker 5: talk about this. This is happening to more than just 1044 00:50:29,080 --> 00:50:31,960 Speaker 5: you. You are not alone, and there are ways you can 1045 00:50:32,000 --> 00:50:34,279 Speaker 5: protect yourself, in ways you can protect each other and 1046 00:50:34,360 --> 00:50:37,799 Speaker 5: be kind to each other and treat accusation with skepticism. 1047 00:50:38,280 --> 00:50:41,920 Speaker 5: So I'm hoping to like reach until the states can 1048 00:50:41,960 --> 00:50:45,000 Speaker 5: pass totally reasonable law that gives everything counsel. I'm trying 1049 00:50:45,040 --> 00:50:46,200 Speaker 5: to teach the kids how to invoke. 1050 00:50:46,320 --> 00:50:48,879 Speaker 1: That's great. Yeah, I think that's great. And how can 1051 00:50:48,920 --> 00:50:51,480 Speaker 1: people like be a part of this right? How can 1052 00:50:51,520 --> 00:50:53,960 Speaker 1: people be a part of this change? Fans of the show, 1053 00:50:54,080 --> 00:50:56,799 Speaker 1: people who find us on social media, like, what are 1054 00:50:56,840 --> 00:50:59,360 Speaker 1: some of these reform ideas that are hopeful that people 1055 00:50:59,400 --> 00:51:00,760 Speaker 1: can kind of throw their way behind. 1056 00:51:01,120 --> 00:51:03,840 Speaker 5: So, first of all, I love that I can say 1057 00:51:04,400 --> 00:51:06,880 Speaker 5: you don't have to pay attention to the federal government 1058 00:51:06,920 --> 00:51:10,960 Speaker 5: as much on this particular subject matter. Okay, so much 1059 00:51:10,960 --> 00:51:13,160 Speaker 5: of the eight like eighty seven percent of people who 1060 00:51:13,200 --> 00:51:16,480 Speaker 5: are in prison are there on state and local cases. Okay, 1061 00:51:16,560 --> 00:51:19,920 Speaker 5: So mostly the policy changes we're looking for are policy 1062 00:51:20,000 --> 00:51:25,680 Speaker 5: changes brought about by local das, states attorneys, local lawmakers, 1063 00:51:25,760 --> 00:51:31,600 Speaker 5: county boards of supervisors, sheriffs. So the number of people 1064 00:51:31,640 --> 00:51:34,520 Speaker 5: that it takes to push one of these elections to 1065 00:51:34,680 --> 00:51:38,000 Speaker 5: a more decarsoral or smarter direction is fairly low. Also, 1066 00:51:38,120 --> 00:51:41,240 Speaker 5: like local initiatives can do so much. There's a program, 1067 00:51:41,400 --> 00:51:43,600 Speaker 5: though totally volunteer program that I cover in the book 1068 00:51:43,640 --> 00:51:46,000 Speaker 5: called Dads on Duty, where a bunch of guys just 1069 00:51:46,000 --> 00:51:48,560 Speaker 5: got like really sick of their kids having police encounters 1070 00:51:48,560 --> 00:51:50,279 Speaker 5: at school, and so they had t shirts made that 1071 00:51:50,320 --> 00:51:53,040 Speaker 5: said Dad's on duty, and they started like patrolling the halls, 1072 00:51:53,040 --> 00:51:55,160 Speaker 5: and when a kid was like doing knucklehead stuff, they'd 1073 00:51:55,160 --> 00:51:58,040 Speaker 5: give them a look and the knucklehead stuff would stop, 1074 00:51:58,040 --> 00:52:00,799 Speaker 5: and so incidents and arrests of the school. So like 1075 00:52:00,840 --> 00:52:02,680 Speaker 5: we can do so we don't have to wait for permission. 1076 00:52:02,680 --> 00:52:05,759 Speaker 5: Like you can form a like Grandma's on duty at 1077 00:52:05,800 --> 00:52:08,799 Speaker 5: your school. You can court watch. You can go sit 1078 00:52:08,840 --> 00:52:10,399 Speaker 5: in the courtroom so that if there's a judge who's 1079 00:52:10,400 --> 00:52:12,600 Speaker 5: going to be absolutely cruel to the people who appear 1080 00:52:12,600 --> 00:52:14,319 Speaker 5: in front of them, like they might not do it 1081 00:52:14,360 --> 00:52:16,800 Speaker 5: in front of you, particularly if you have a notebook, 1082 00:52:17,120 --> 00:52:19,840 Speaker 5: you can demand. This is one of my favorites. We 1083 00:52:19,920 --> 00:52:22,920 Speaker 5: often feel really helpless about bad policing, and people who 1084 00:52:23,040 --> 00:52:26,520 Speaker 5: work in policing feel helpless about that too. There are 1085 00:52:26,600 --> 00:52:29,840 Speaker 5: so many police leaders who wish they could fire the 1086 00:52:29,880 --> 00:52:32,520 Speaker 5: bad actors in their department. But because ninety eight percent 1087 00:52:32,520 --> 00:52:35,359 Speaker 5: of union contracts contain a provision that says you can't 1088 00:52:35,400 --> 00:52:41,040 Speaker 5: fire the bad guys like they're stuck. But prosecutors can 1089 00:52:41,200 --> 00:52:43,120 Speaker 5: use something called they do not Call list, where the 1090 00:52:43,120 --> 00:52:46,320 Speaker 5: prosecutor basically says, you do whatever you want police department. 1091 00:52:46,800 --> 00:52:49,560 Speaker 5: But if your officers are credibly found to have engaged 1092 00:52:49,560 --> 00:52:52,279 Speaker 5: in like lying to the public in you know, lying 1093 00:52:52,320 --> 00:52:56,400 Speaker 5: about the public test a, lying or mistreating the public violence, 1094 00:52:56,800 --> 00:52:59,120 Speaker 5: I'm simply not going to use that cop in any 1095 00:52:59,160 --> 00:53:01,440 Speaker 5: of my cases. And what's great about that is if 1096 00:53:01,440 --> 00:53:04,160 Speaker 5: the cop can't be used in a prosecution, they're essentially used. 1097 00:53:04,320 --> 00:53:05,279 Speaker 1: Yeah, they're paper. 1098 00:53:07,040 --> 00:53:09,480 Speaker 5: Exactly. They get benched immediately. So like you can go 1099 00:53:09,560 --> 00:53:11,200 Speaker 5: to your local DA and be like, why don't you 1100 00:53:11,239 --> 00:53:13,440 Speaker 5: have this policy? Why do you want to use bad cops? 1101 00:53:13,520 --> 00:53:15,799 Speaker 5: I love them, not use bad cops. There's so much 1102 00:53:15,840 --> 00:53:16,600 Speaker 5: we can do locally. 1103 00:53:16,719 --> 00:53:18,919 Speaker 2: Fac I love that really, Really, that's really cool. 1104 00:53:19,160 --> 00:53:22,840 Speaker 1: And what I love what you're talking about really is people. 1105 00:53:24,080 --> 00:53:25,680 Speaker 1: I get this all the time, right, like what can 1106 00:53:25,719 --> 00:53:29,040 Speaker 1: I do? How can I help? And I always try 1107 00:53:29,080 --> 00:53:31,399 Speaker 1: to empower people with like small tools that they can 1108 00:53:31,480 --> 00:53:36,040 Speaker 1: do with fifty followers on Instagram, right, like you need 1109 00:53:36,120 --> 00:53:38,840 Speaker 1: you don't need like a huge platform to affect change. 1110 00:53:38,960 --> 00:53:41,200 Speaker 1: And oftentimes, like you say, it is on these really 1111 00:53:41,200 --> 00:53:44,520 Speaker 1: small local levels like the mom's Facebook group. How can 1112 00:53:44,560 --> 00:53:48,560 Speaker 1: you pressure someone? So I love hearing that. When does 1113 00:53:48,600 --> 00:53:50,560 Speaker 1: your next book come out? Like? What is there anything 1114 00:53:50,640 --> 00:53:52,760 Speaker 1: you'd like to plug? We talked a bit about your book. 1115 00:53:53,000 --> 00:53:54,920 Speaker 5: Yeah, so the book is the Price of Mercy. If 1116 00:53:54,960 --> 00:53:56,640 Speaker 5: you like solutions like these, you can check it out. 1117 00:53:56,640 --> 00:54:00,440 Speaker 5: It's available everywhere books are sold. In September, you could 1118 00:54:00,480 --> 00:54:03,120 Speaker 5: expect the arrival of Andromeda Diaz. And if you have 1119 00:54:03,200 --> 00:54:05,080 Speaker 5: a middle grade reader in your life, and you would 1120 00:54:05,120 --> 00:54:08,680 Speaker 5: like that middle grade reader, like my daughter say to 1121 00:54:08,719 --> 00:54:11,239 Speaker 5: her local school cop, I want to remain silent, and 1122 00:54:11,239 --> 00:54:13,319 Speaker 5: I want a lawyer. Every time he tries to talk 1123 00:54:13,320 --> 00:54:15,640 Speaker 5: to me about that's, get of a copy. 1124 00:54:15,360 --> 00:54:18,040 Speaker 2: Of It's It's really true. And I think you know, 1125 00:54:18,200 --> 00:54:20,200 Speaker 2: I wouldn't have known what to say if a police 1126 00:54:20,200 --> 00:54:21,719 Speaker 2: officer approached me as a kid. 1127 00:54:21,880 --> 00:54:24,319 Speaker 1: So, I mean, we have to how did you sort 1128 00:54:24,320 --> 00:54:26,120 Speaker 1: of get into this work? I'm just so curious. 1129 00:54:26,120 --> 00:54:28,400 Speaker 5: Simily, Well, I had a really rough time of it 1130 00:54:28,440 --> 00:54:32,880 Speaker 5: as a young person for a period that culminated me 1131 00:54:33,040 --> 00:54:36,239 Speaker 5: getting arrested and coming before a judge who was a 1132 00:54:36,360 --> 00:54:41,239 Speaker 5: legendary advocate for young people in Massachusetts, Judge Leslie Harris, 1133 00:54:41,280 --> 00:54:45,280 Speaker 5: who I write about in the book. And then because 1134 00:54:45,520 --> 00:54:49,120 Speaker 5: of him and his determination to see potential in children 1135 00:54:49,120 --> 00:54:52,080 Speaker 5: instead of seeing threat, I was able to go onto 1136 00:54:52,080 --> 00:54:56,120 Speaker 5: college in law school, and in my first year criminal 1137 00:54:56,200 --> 00:54:58,040 Speaker 5: law class, I thought, Man, I really connect with these 1138 00:54:58,040 --> 00:55:01,239 Speaker 5: pass I don't know why to think too hard about that. 1139 00:55:01,320 --> 00:55:03,960 Speaker 5: It's not that I've done the crime, It's just that 1140 00:55:04,040 --> 00:55:06,840 Speaker 5: I like these stories. So I took a job at 1141 00:55:06,840 --> 00:55:09,720 Speaker 5: the La County Public Defender that summer, and I started 1142 00:55:09,760 --> 00:55:11,839 Speaker 5: walking into rooms with kids who were not that much 1143 00:55:11,880 --> 00:55:14,160 Speaker 5: younger than me and had done stuff that I had 1144 00:55:14,200 --> 00:55:16,879 Speaker 5: literally done that. They were black and brown and East 1145 00:55:17,000 --> 00:55:20,239 Speaker 5: La and I had not been. And I've been so 1146 00:55:20,560 --> 00:55:25,200 Speaker 5: angry about that for since. Sure that I've just never stopped. 1147 00:55:25,440 --> 00:55:27,960 Speaker 2: But isn't it wonderful though? That I mean, because this 1148 00:55:28,000 --> 00:55:30,080 Speaker 2: could have gone wrong for you if he did not 1149 00:55:30,400 --> 00:55:33,000 Speaker 2: happen to be in front of this particular judge who 1150 00:55:33,000 --> 00:55:36,319 Speaker 2: truly cared about what happens to kids. And I mean 1151 00:55:36,480 --> 00:55:40,040 Speaker 2: I think that, I don't mean, I don't know when 1152 00:55:40,120 --> 00:55:43,399 Speaker 2: people are in certain positions if they really understand sort 1153 00:55:43,440 --> 00:55:45,359 Speaker 2: of the power that they have and how they could 1154 00:55:45,480 --> 00:55:46,399 Speaker 2: use their power for good. 1155 00:55:46,440 --> 00:55:46,520 Speaker 4: Right. 1156 00:55:46,560 --> 00:55:47,799 Speaker 2: I mean I hate to say to say things like 1157 00:55:47,800 --> 00:55:50,480 Speaker 2: that because sounds so cheesy, but you know, because if 1158 00:55:50,480 --> 00:55:53,240 Speaker 2: you had gone before a judge who was a different animal, 1159 00:55:53,600 --> 00:55:55,959 Speaker 2: you would be in a completely different place right now. 1160 00:55:56,640 --> 00:55:58,360 Speaker 2: So this is what we need. We need more people 1161 00:55:58,560 --> 00:56:00,520 Speaker 2: like this judge. 1162 00:56:00,640 --> 00:56:00,799 Speaker 1: Yes. 1163 00:56:00,960 --> 00:56:04,879 Speaker 5: No, I was able to write him years later, when 1164 00:56:04,880 --> 00:56:07,160 Speaker 5: I'd become a public defender and I'd represented like thousands 1165 00:56:07,200 --> 00:56:09,480 Speaker 5: of people because case loads are way too high. I 1166 00:56:09,480 --> 00:56:11,080 Speaker 5: was able to write it and be like, you know, hey, 1167 00:56:11,160 --> 00:56:13,520 Speaker 5: like all of my cases are your grand cases. 1168 00:56:13,760 --> 00:56:18,680 Speaker 3: Congratulations, I've got all these dispositions. 1169 00:56:18,719 --> 00:56:21,120 Speaker 2: I mean, I think that that's I mean, those stories 1170 00:56:21,200 --> 00:56:24,600 Speaker 2: like that are what give us hope because we're looking 1171 00:56:24,600 --> 00:56:28,040 Speaker 2: at a landscape that feels sometimes really dismal, and it 1172 00:56:28,080 --> 00:56:30,600 Speaker 2: feels like we don't know what to do everything. Everything 1173 00:56:30,680 --> 00:56:34,239 Speaker 2: feels terrible sometimes, But when you hear a story like this, 1174 00:56:34,520 --> 00:56:37,120 Speaker 2: you're like, you know what, everything is not terrible. We 1175 00:56:37,200 --> 00:56:39,959 Speaker 2: can sort of invoke change if we if we try. 1176 00:56:40,160 --> 00:56:43,800 Speaker 1: But I also love what Emily said about like letting 1177 00:56:43,920 --> 00:56:48,680 Speaker 1: anger propel you. I think literally everyone is angry right now, 1178 00:56:48,920 --> 00:56:51,799 Speaker 1: And I hear it in every single DM. I get. 1179 00:56:51,840 --> 00:56:55,200 Speaker 1: People are angry, they're upset, they are reacting to you 1180 00:56:55,239 --> 00:56:59,799 Speaker 1: know what I'm talking about and headlines, And every time 1181 00:56:59,800 --> 00:57:01,960 Speaker 1: that happens, I'm not like, oh man, I mean this 1182 00:57:01,960 --> 00:57:04,839 Speaker 1: person agree. I'm like, hell yeah, Like if you're mad, 1183 00:57:04,920 --> 00:57:07,279 Speaker 1: like it means something good is happening, right, Like you're 1184 00:57:07,320 --> 00:57:10,759 Speaker 1: alive inside, you're fired up. I don't think anyone ever 1185 00:57:10,960 --> 00:57:16,400 Speaker 1: like invoked change from a place of emotional uh like. 1186 00:57:16,440 --> 00:57:19,240 Speaker 2: Calm distance, emotional distance, Like I think. 1187 00:57:19,600 --> 00:57:23,720 Speaker 1: I think all change and like revolutionary radical change in 1188 00:57:23,760 --> 00:57:29,680 Speaker 1: the world came about because we were something. 1189 00:57:30,160 --> 00:57:32,240 Speaker 5: Was secretly furious living. 1190 00:57:33,120 --> 00:57:36,600 Speaker 1: So I just I love to hear that, like this 1191 00:57:36,760 --> 00:57:41,200 Speaker 1: anger from your youth really propelled you through this extraordinary 1192 00:57:41,240 --> 00:57:44,320 Speaker 1: career and into this change. So I love to hear that. 1193 00:57:44,360 --> 00:57:46,880 Speaker 1: And I think that is hopeful, right, like helpful about 1194 00:57:47,440 --> 00:57:49,880 Speaker 1: I'm like, hell yeah, make emotional decisions. I love that. 1195 00:57:50,040 --> 00:57:52,080 Speaker 2: I also think the other the other sort of message 1196 00:57:52,080 --> 00:57:54,680 Speaker 2: of hope is that realizing that there are some things 1197 00:57:54,720 --> 00:57:57,160 Speaker 2: that you could do at the grassroots level within your 1198 00:57:57,160 --> 00:58:00,280 Speaker 2: own community that could potentially make a huge difference unity 1199 00:58:00,360 --> 00:58:04,080 Speaker 2: garden planting, more trees and more. People need to hear 1200 00:58:04,240 --> 00:58:07,760 Speaker 2: those things, and they also need to have the information 1201 00:58:07,840 --> 00:58:10,400 Speaker 2: that you have, right, like the statistics, the numbers. Show 1202 00:58:10,480 --> 00:58:12,480 Speaker 2: us the numbers, because I think if I were to 1203 00:58:12,520 --> 00:58:15,480 Speaker 2: go to somebody like my husband, for example, who's kind 1204 00:58:15,480 --> 00:58:17,120 Speaker 2: of a cynic, right, and I would say, you know, 1205 00:58:17,600 --> 00:58:20,440 Speaker 2: today I learned that if you plant more trees in 1206 00:58:20,480 --> 00:58:23,920 Speaker 2: a community, crime goes down, he'd be like, really, but 1207 00:58:23,920 --> 00:58:26,800 Speaker 2: but I But if I were to show him the 1208 00:58:26,920 --> 00:58:30,200 Speaker 2: numbers for him, that would make the difference. And I 1209 00:58:30,240 --> 00:58:32,880 Speaker 2: think we need to sort of tell people these stories 1210 00:58:32,920 --> 00:58:35,920 Speaker 2: but also provide the numbers behind it, what are the 1211 00:58:35,960 --> 00:58:38,680 Speaker 2: stats behind it, because people need to hear that as well. 1212 00:58:39,120 --> 00:58:41,440 Speaker 2: Otherwise it just seems like sort of airy fairy stuff. 1213 00:58:41,480 --> 00:58:41,680 Speaker 2: You know. 1214 00:58:42,160 --> 00:58:44,840 Speaker 5: Literally one hundred pages of the book is citations. And 1215 00:58:45,120 --> 00:58:48,200 Speaker 5: the reason is because as a public defender, like I know, 1216 00:58:48,280 --> 00:58:49,840 Speaker 5: no one's going to take my word for stuff. 1217 00:58:50,080 --> 00:58:54,120 Speaker 3: Exactly what you need to need you need, you need 1218 00:58:54,120 --> 00:58:56,640 Speaker 3: the receipts, you need the recepts. 1219 00:58:56,720 --> 00:58:58,920 Speaker 1: Well, thank you, Emily. Where can people find you on 1220 00:58:58,960 --> 00:59:00,240 Speaker 1: social media? What's your hand? And all? 1221 00:59:00,280 --> 00:59:02,760 Speaker 5: We'll throw it up on the stag at Galvan Almanza 1222 00:59:02,880 --> 00:59:07,120 Speaker 5: on pretty much everything Instagram, Twitter, blue scribe, blue sky, 1223 00:59:07,360 --> 00:59:08,280 Speaker 5: you name it all right? 1224 00:59:08,320 --> 00:59:10,160 Speaker 2: Well, thank you so much, Emily. This is great. 1225 00:59:10,200 --> 00:59:12,400 Speaker 5: Thanks for having me. You guys really appreciate it. 1226 00:59:13,840 --> 00:59:16,560 Speaker 1: Okay, well this is tells from the dms. These are 1227 00:59:16,600 --> 00:59:22,800 Speaker 1: all the weird, wild, freaky, deeky, crazy, lascibious, licentious, scandalous, 1228 00:59:23,000 --> 00:59:28,960 Speaker 1: salacious things you send me and Melissa on the internet. 1229 00:59:29,240 --> 00:59:32,520 Speaker 2: Friends, What do I always say? While Michael is a lawyer, 1230 00:59:32,560 --> 00:59:35,200 Speaker 2: he's not your lawyer, so you should probably look into 1231 00:59:35,200 --> 00:59:35,800 Speaker 2: getting your own. 1232 00:59:35,920 --> 00:59:37,840 Speaker 1: But you can hire me. I'm for hiring. 1233 00:59:37,880 --> 00:59:38,720 Speaker 2: It's cheap. 1234 00:59:40,960 --> 00:59:45,040 Speaker 1: Bogo. Did you know the word for sale in Sweden? 1235 00:59:45,080 --> 00:59:51,240 Speaker 1: I went to Sweden It's slut spurt. So all these stories, 1236 00:59:51,240 --> 00:59:51,640 Speaker 1: it was like. 1237 00:59:51,760 --> 00:59:54,320 Speaker 2: Let's let's look that up and put that in the notes. 1238 00:59:54,520 --> 00:59:56,960 Speaker 2: Because Michael is also known to be a liar to. 1239 00:59:56,960 --> 01:00:01,400 Speaker 1: The Swedish people say in the comments, it's let's right, 1240 01:00:01,520 --> 01:00:01,680 Speaker 1: you know. 1241 01:00:01,720 --> 01:00:04,600 Speaker 2: Somebody from Sweden reached out to me. Actually, that's so funny. 1242 01:00:05,680 --> 01:00:09,160 Speaker 2: And she wanted to know the lipstick that I was wearing. 1243 01:00:09,400 --> 01:00:10,000 Speaker 1: What is it? 1244 01:00:10,600 --> 01:00:11,800 Speaker 2: Tralla, No it was? 1245 01:00:11,920 --> 01:00:12,480 Speaker 1: Did you tell her? 1246 01:00:12,600 --> 01:00:12,720 Speaker 3: No? 1247 01:00:12,840 --> 01:00:14,680 Speaker 2: I did, Yes, I did tell her what it was, 1248 01:00:14,720 --> 01:00:16,720 Speaker 2: but unfortunately it did not have a cool name like 1249 01:00:16,760 --> 01:00:17,920 Speaker 2: vicious Trollope. 1250 01:00:17,560 --> 01:00:20,600 Speaker 1: Okay from the DMS from the Santa Con episode. People 1251 01:00:20,640 --> 01:00:24,520 Speaker 1: want to know Corey Johnson's seven four four four Okay, 1252 01:00:24,560 --> 01:00:28,200 Speaker 1: but drop the sweatshirt link, Melissa from your Taurus sweatshirt. 1253 01:00:28,920 --> 01:00:31,440 Speaker 2: I'm so sorry. Somebody a bunch of other people asked 1254 01:00:31,440 --> 01:00:34,760 Speaker 2: me about it, and I don't remember where I bought them. 1255 01:00:34,960 --> 01:00:37,480 Speaker 2: A friend of mine bought them for us. She's a Libra. 1256 01:00:37,680 --> 01:00:41,240 Speaker 2: I'm a Taurus, right, but I don't remember, but I 1257 01:00:41,440 --> 01:00:43,840 Speaker 2: promise I will look into it. I know that it 1258 01:00:43,880 --> 01:00:48,040 Speaker 2: was a black owned company that we saw on Instagram. 1259 01:00:48,120 --> 01:00:50,160 Speaker 1: Yeah, and this is and this is the problem. If 1260 01:00:50,160 --> 01:00:53,400 Speaker 1: you do love our show, you are following two influencers 1261 01:00:53,440 --> 01:00:55,800 Speaker 1: over the age of thirty five. So we are likely 1262 01:00:55,880 --> 01:00:58,800 Speaker 1: going to forget where things come from. We're going to 1263 01:00:58,880 --> 01:01:01,720 Speaker 1: forget the link like it just comes with the territory. 1264 01:01:01,920 --> 01:01:04,880 Speaker 1: So if you want quick links, follow a twenty two 1265 01:01:04,920 --> 01:01:05,280 Speaker 1: year old. 1266 01:01:05,560 --> 01:01:07,040 Speaker 2: Sorry, friends, but I will look. 1267 01:01:07,360 --> 01:01:08,320 Speaker 1: Do you want to read one? 1268 01:01:08,680 --> 01:01:11,400 Speaker 2: Sure? Okay? This is I really love this because I 1269 01:01:11,440 --> 01:01:17,440 Speaker 2: agreed completely From Zach Tanner seventeen. America just needs to restart. 1270 01:01:17,640 --> 01:01:20,360 Speaker 2: Maybe someone should see if Trump can try and unplug 1271 01:01:20,400 --> 01:01:23,080 Speaker 2: the country and plug it back in. Seriously, though, our 1272 01:01:23,080 --> 01:01:24,040 Speaker 2: government is the worst. 1273 01:01:24,920 --> 01:01:27,440 Speaker 1: Something you would say to me, I would call you. 1274 01:01:27,680 --> 01:01:28,880 Speaker 1: You would say that. 1275 01:01:28,720 --> 01:01:31,920 Speaker 2: Control all delete, let's just start over. Everything is terrible. 1276 01:01:34,240 --> 01:01:36,920 Speaker 1: It's a deep, poor cleanse. I do feel like if 1277 01:01:36,960 --> 01:01:39,000 Speaker 1: you ever you know, doesn't do shower, like when you 1278 01:01:39,040 --> 01:01:41,760 Speaker 1: get home from a bar or something. Yes, yeah, I shower, 1279 01:01:41,800 --> 01:01:43,880 Speaker 1: I do the full, I do the you have to 1280 01:01:44,040 --> 01:01:46,920 Speaker 1: do everything shower, you need everything shower. 1281 01:01:47,080 --> 01:01:48,760 Speaker 2: Yeah, it's disgusting outside. 1282 01:01:48,920 --> 01:01:53,240 Speaker 1: Yeah, okay. From Katie Bites, she writes, high deep, high depots. 1283 01:01:54,320 --> 01:01:56,680 Speaker 1: I've been summoned for jury duty and I'd rather not 1284 01:01:58,840 --> 01:02:02,680 Speaker 1: any outfit tip to ensure I'm not the chosen one. Yes, 1285 01:02:02,920 --> 01:02:04,560 Speaker 1: really you have one idea? 1286 01:02:04,680 --> 01:02:06,760 Speaker 2: Well, I mean I can just so. I think that 1287 01:02:07,080 --> 01:02:10,600 Speaker 2: if you if you don't want to be chosen for 1288 01:02:10,640 --> 01:02:15,920 Speaker 2: a jury, I suggest that you go on social media 1289 01:02:16,360 --> 01:02:19,280 Speaker 2: and look for somebody who was trying out outfits to 1290 01:02:19,320 --> 01:02:22,840 Speaker 2: wear to Coachella, and that's that will get you out 1291 01:02:22,840 --> 01:02:26,200 Speaker 2: of it. For show, there were two girls. 1292 01:02:26,000 --> 01:02:29,760 Speaker 1: Who were making fun of uh Coachella influencers and going 1293 01:02:29,800 --> 01:02:31,840 Speaker 1: to Coachella, and they were like, get ready with me 1294 01:02:31,920 --> 01:02:34,480 Speaker 1: to go to Coachella, and I'm with me I'm shopping 1295 01:02:34,520 --> 01:02:36,880 Speaker 1: at Marshall's and they did this whole like Marshall's thing. 1296 01:02:37,400 --> 01:02:40,440 Speaker 1: Marshall saw it and sent them to Coachella. 1297 01:02:40,560 --> 01:02:44,280 Speaker 2: I'm sure they did. Listen, get it. Good for you. 1298 01:02:44,720 --> 01:02:47,120 Speaker 2: It's really amazing to me how people. Oh my voice 1299 01:02:47,120 --> 01:02:48,160 Speaker 2: is going, okay. 1300 01:02:48,040 --> 01:02:54,600 Speaker 1: Okay, she was silenced by Marshals okay. Sarah Newman wrote, 1301 01:02:54,640 --> 01:02:56,480 Speaker 1: do you have a possible question for the pod? I'm 1302 01:02:56,480 --> 01:03:00,160 Speaker 1: a licensed professional counselor in Texas and our grulish up 1303 01:03:00,240 --> 01:03:00,920 Speaker 1: a lot recently. 1304 01:03:02,080 --> 01:03:03,280 Speaker 2: I love that. Actually, go ahead. 1305 01:03:03,280 --> 01:03:07,000 Speaker 1: Sorry, recently updated our Health and Safety Code to prohibit 1306 01:03:07,040 --> 01:03:10,960 Speaker 1: my profession from facilitating treatment to trans youth as our 1307 01:03:11,000 --> 01:03:15,720 Speaker 1: license classifies us as healthcare providers. Interesting, he has classified 1308 01:03:15,760 --> 01:03:19,240 Speaker 1: gender affirming care for minors as child abuse in the state. Wow, 1309 01:03:20,040 --> 01:03:22,840 Speaker 1: all right, Texas. With the recent Supreme Court ruling that 1310 01:03:22,920 --> 01:03:25,640 Speaker 1: therapy has protected speech, it seems states can no longer 1311 01:03:25,680 --> 01:03:30,480 Speaker 1: prohibit a therapeutic approach by targeting the ideas expressed in session. 1312 01:03:31,040 --> 01:03:34,800 Speaker 1: Could the Supreme Court ruling be applied here? Yes, it 1313 01:03:34,840 --> 01:03:39,280 Speaker 1: could be. That is like my legal sort of understanding. 1314 01:03:39,400 --> 01:03:42,640 Speaker 1: It could be applied. However, it would have to go 1315 01:03:42,720 --> 01:03:45,440 Speaker 1: up and be fully litigated. By the Supreme Court. So 1316 01:03:45,480 --> 01:03:47,280 Speaker 1: this is something that would have to work through the 1317 01:03:47,320 --> 01:03:51,320 Speaker 1: court system, probably for a couple of years. And there 1318 01:03:51,360 --> 01:03:54,680 Speaker 1: are like activist law firms and attorneys who take those 1319 01:03:54,680 --> 01:03:57,520 Speaker 1: types of cases and will file suit in order to 1320 01:03:58,040 --> 01:04:00,520 Speaker 1: you know, sort of litigate that although to the Supreme 1321 01:04:00,520 --> 01:04:03,680 Speaker 1: Court and get a decision. But it is going to 1322 01:04:03,680 --> 01:04:06,360 Speaker 1: take some time. But I'm sorry, you're going you have 1323 01:04:06,400 --> 01:04:09,560 Speaker 1: to handle that. I mean, anyone who has to work. 1324 01:04:09,280 --> 01:04:14,880 Speaker 2: With I mean, just the idea that providing therapy, gender 1325 01:04:14,920 --> 01:04:18,320 Speaker 2: firm and care for a child and is considered child abuse. 1326 01:04:18,320 --> 01:04:21,560 Speaker 1: Even just therapy. It's not even like hormone block it's 1327 01:04:21,560 --> 01:04:25,000 Speaker 1: not even puberty blockers. It's nothing. It's literally just God 1328 01:04:25,640 --> 01:04:28,800 Speaker 1: ruling that therapy is protected speech. It could no longer 1329 01:04:28,880 --> 01:04:31,640 Speaker 1: it is technically, yeah, would be covered under the First Amendment, 1330 01:04:31,760 --> 01:04:34,360 Speaker 1: So I under I mean, it's a sound legal argument. 1331 01:04:34,640 --> 01:04:36,880 Speaker 1: I think it will get worked through and the law 1332 01:04:36,920 --> 01:04:39,360 Speaker 1: will probably be held on constitutional at some point, but 1333 01:04:39,520 --> 01:04:42,680 Speaker 1: just not yet. Okay, We're going to read probably the 1334 01:04:42,760 --> 01:04:46,440 Speaker 1: craziest email I've gotten, one that is so crazy we 1335 01:04:46,520 --> 01:04:49,640 Speaker 1: had to run it past the legal department twice myself 1336 01:04:49,720 --> 01:04:52,320 Speaker 1: as part of the one of the lawyers reviewing it. 1337 01:04:53,200 --> 01:04:57,200 Speaker 1: We sent it to legal. I have a language I'm 1338 01:04:57,240 --> 01:04:59,320 Speaker 1: allowed to use when we discuss it. But it's next 1339 01:04:59,360 --> 01:05:01,800 Speaker 1: week and it's a out the Gay Panic Defense episode. 1340 01:05:02,360 --> 01:05:05,320 Speaker 1: It is insider tea. It is hot, goss, it is 1341 01:05:05,680 --> 01:05:08,440 Speaker 1: it is nasty, it's freaky. 1342 01:05:08,600 --> 01:05:12,160 Speaker 2: It is let the record reflect that when when it 1343 01:05:12,320 --> 01:05:14,439 Speaker 2: came up. When it came up, I was just like. 1344 01:05:15,440 --> 01:05:18,280 Speaker 1: Sure, and I was like, it's fine, let's do it. 1345 01:05:18,280 --> 01:05:20,200 Speaker 2: I was like, okay, because you're the lawyer. 1346 01:05:20,640 --> 01:05:25,400 Speaker 1: But hard cut to legal getting involved. And since I 1347 01:05:25,440 --> 01:05:26,920 Speaker 1: said I'm a lawyer, I never said I was a 1348 01:05:26,920 --> 01:05:30,840 Speaker 1: good one. And Melissa saying, I told you so, I 1349 01:05:30,880 --> 01:05:32,960 Speaker 1: told you you did the I told you I told 1350 01:05:33,000 --> 01:05:33,280 Speaker 1: you so. 1351 01:05:33,360 --> 01:05:35,200 Speaker 2: Dance, I told you so. I told you so. 1352 01:05:35,200 --> 01:05:38,720 Speaker 1: All Right, let's get out of here. That was tales 1353 01:05:38,720 --> 01:05:40,280 Speaker 1: from the DMS. We'll see you next week when we 1354 01:05:40,320 --> 01:05:42,919 Speaker 1: talk about that weird crazy email we got. I can't. 1355 01:05:42,920 --> 01:05:44,400 Speaker 1: I can't, I honestly can't. I want to. 1356 01:05:44,680 --> 01:05:44,960 Speaker 2: You can't. 1357 01:05:45,000 --> 01:05:45,240 Speaker 4: Wait. 1358 01:05:45,280 --> 01:05:47,040 Speaker 1: Well, I'll do it next week and I'll give it 1359 01:05:47,120 --> 01:05:49,840 Speaker 1: the full segment. A dramatic reading, yes, and. 1360 01:05:49,880 --> 01:05:51,120 Speaker 2: A dramatic reading. 1361 01:05:51,000 --> 01:05:53,800 Speaker 1: Local warm ups. Okay, I'll see you in court. Just 1362 01:05:53,880 --> 01:05:59,760 Speaker 1: Michael not you never me. This has been an Exactly 1363 01:05:59,800 --> 01:06:04,080 Speaker 1: Right production recorded at iHeart Studios, hosted by Me, Michael Foot, and. 1364 01:06:04,080 --> 01:06:06,880 Speaker 2: Me Melissa Albrant. Our producer is CJ. Ferroni. 1365 01:06:07,040 --> 01:06:09,320 Speaker 1: This episode was edited by Nicholas Galucci. 1366 01:06:09,480 --> 01:06:12,520 Speaker 2: Our associate producer is Christina Chamberlain and our guest booker 1367 01:06:12,640 --> 01:06:13,600 Speaker 2: is Patria Cottner. 1368 01:06:13,880 --> 01:06:16,560 Speaker 1: Our theme song was composed by Tom Brifogel, with artwork 1369 01:06:16,560 --> 01:06:20,400 Speaker 1: from Charlotte Delarue Manessa Lilac with photography by Brad Obono. 1370 01:06:20,680 --> 01:06:24,520 Speaker 2: Brief Recess is executive produced by Karen Kilgareff, Georgia hart Stark, 1371 01:06:24,600 --> 01:06:25,600 Speaker 2: and Danielle Kramer. 1372 01:06:25,680 --> 01:06:28,000 Speaker 1: You can find me on Instagram at Department of Redundancy 1373 01:06:28,000 --> 01:06:30,720 Speaker 1: Department or on TikTok at Michael Foot. 1374 01:06:30,560 --> 01:06:33,480 Speaker 2: And I'm on both Instagram and TikTok as Melissa Malbranch. 1375 01:06:33,720 --> 01:06:37,840 Speaker 1: Got legal questions, reach out at brief Recess at exactlyrightmedia 1376 01:06:37,920 --> 01:06:40,880 Speaker 1: dot com. Listen to Brief Recess on the iHeartRadio app, 1377 01:06:41,040 --> 01:06:44,120 Speaker 1: Apple Podcasts or wherever you get your podcasts, and of 1378 01:06:44,160 --> 01:06:47,160 Speaker 1: course we're a podcasts with video. Search for Brief Recess 1379 01:06:47,160 --> 01:06:47,840 Speaker 1: on YouTube