1 00:00:06,600 --> 00:00:10,040 Speaker 1: Hi, and welcome back to the Carol Markowitz Show on iHeartRadio. 2 00:00:10,600 --> 00:00:13,720 Speaker 1: My guest today is Mike Glenn. Mike is a Pentagon 3 00:00:13,760 --> 00:00:17,400 Speaker 1: reporter for the Washington Times. Hi, Mike's so nice to 4 00:00:17,440 --> 00:00:17,880 Speaker 1: have you on. 5 00:00:18,160 --> 00:00:20,000 Speaker 2: Hello, Carol, good to see you finally. 6 00:00:20,480 --> 00:00:23,800 Speaker 1: I've known your work for so long and I would 7 00:00:23,800 --> 00:00:26,280 Speaker 1: love to know more about you. So how did you 8 00:00:26,440 --> 00:00:29,280 Speaker 1: become a Pentagon reporter? How does one do that? 9 00:00:30,680 --> 00:00:34,080 Speaker 2: Well? I backed into this. This is actually my third career. 10 00:00:35,240 --> 00:00:38,480 Speaker 2: I was in the Army for a long time, quite 11 00:00:38,520 --> 00:00:42,839 Speaker 2: a long time, and that was you know, I enlisted 12 00:00:42,920 --> 00:00:45,280 Speaker 2: right after high school, went into the Army, went to 13 00:00:45,360 --> 00:00:48,240 Speaker 2: Germany during the height of the Cold War. Regular was 14 00:00:48,280 --> 00:00:51,120 Speaker 2: president at the time. There were two Germany's, the Wall 15 00:00:51,280 --> 00:00:53,400 Speaker 2: was up and all that kind of stuff. Height of 16 00:00:53,440 --> 00:00:56,560 Speaker 2: the Cold War, terrorists and everything. I got out, went 17 00:00:56,600 --> 00:01:00,120 Speaker 2: to college and then came back in the Army as 18 00:01:00,120 --> 00:01:03,920 Speaker 2: an officer because they went to RTC comment Intimation and 19 00:01:04,040 --> 00:01:07,639 Speaker 2: I ended up spaying, staying another four or five years 20 00:01:07,640 --> 00:01:10,039 Speaker 2: in After that, went to the Gulf War. I was 21 00:01:10,040 --> 00:01:12,200 Speaker 2: a platoon leader and a tank unit. I saw a 22 00:01:12,240 --> 00:01:16,119 Speaker 2: little bit of action enough to maybe say I'm here, uh, 23 00:01:16,280 --> 00:01:20,360 Speaker 2: you know, a little bit of and then I after 24 00:01:20,440 --> 00:01:23,160 Speaker 2: I got out, I got sort of crossways for one 25 00:01:23,160 --> 00:01:28,240 Speaker 2: of my commanders and I ended up getting out. Well, 26 00:01:28,640 --> 00:01:32,520 Speaker 2: come on tell us, Okay, So all our after the war, 27 00:01:32,600 --> 00:01:35,480 Speaker 2: we all came back, uh to our base which is 28 00:01:35,480 --> 00:01:39,479 Speaker 2: in El Paso, and we had a new commander because 29 00:01:39,520 --> 00:01:42,679 Speaker 2: we had changed a command. After that new commander came in, 30 00:01:43,280 --> 00:01:48,040 Speaker 2: hadn't didn't deploy over there. Uh, and all his lieutenants 31 00:01:48,080 --> 00:01:51,280 Speaker 2: did you know, Uh, he was a colonel. A bunch 32 00:01:51,280 --> 00:01:55,760 Speaker 2: of lieutenants had you know, combat decorations, combat experience, and 33 00:01:55,800 --> 00:01:58,320 Speaker 2: he started we were getting ready after we got back. 34 00:01:58,440 --> 00:02:00,320 Speaker 2: Pretty soon after we got back, we had out in 35 00:02:00,320 --> 00:02:05,400 Speaker 2: the field for another training environment training exercise in California 36 00:02:05,400 --> 00:02:09,160 Speaker 2: at the National Training Center out near Barstow in the desert. 37 00:02:09,680 --> 00:02:11,920 Speaker 1: I've driven through Barstow on the way to Vegas. 38 00:02:12,000 --> 00:02:14,200 Speaker 2: Yeah, there's a lot, there's a lot not to see there. 39 00:02:14,800 --> 00:02:16,440 Speaker 1: There's a decent Mexican restaurant. 40 00:02:16,480 --> 00:02:19,079 Speaker 2: Actually, yeah there is there is, Yeah, but it's it's 41 00:02:19,120 --> 00:02:22,200 Speaker 2: it's great. It's a great training environment for a tank 42 00:02:22,320 --> 00:02:24,760 Speaker 2: unit like we were. So it's a great place to train. 43 00:02:24,880 --> 00:02:28,400 Speaker 2: But we're coming pretty soon after coming back from combat, 44 00:02:28,480 --> 00:02:31,840 Speaker 2: so we weren't that jazz to go? And he may. 45 00:02:31,960 --> 00:02:35,160 Speaker 2: He was talking about how we were fighting because we're 46 00:02:35,160 --> 00:02:37,760 Speaker 2: going to be fighting against the opposition for us is 47 00:02:37,800 --> 00:02:41,200 Speaker 2: the OP four, who were Americans who sort of emulate 48 00:02:41,280 --> 00:02:43,799 Speaker 2: sort of Russian tactics. They said, we're finally going to 49 00:02:44,120 --> 00:02:46,960 Speaker 2: you know, meet like a foe worthy of our steel 50 00:02:47,120 --> 00:02:51,760 Speaker 2: or some hit like that. Pardon my friend, please, And 51 00:02:52,280 --> 00:02:55,400 Speaker 2: I'd said, but I was a lieutenant, he was a colonel. 52 00:02:55,960 --> 00:02:58,359 Speaker 2: I said, well, the ones one of these guys here 53 00:02:58,360 --> 00:03:01,720 Speaker 2: in California aren't shooting real bullet status like the ones 54 00:03:02,840 --> 00:03:03,560 Speaker 2: in Iraq war. 55 00:03:03,840 --> 00:03:04,560 Speaker 1: He didn't like that. 56 00:03:04,919 --> 00:03:07,400 Speaker 2: He didn't like that, and it just like went down 57 00:03:07,680 --> 00:03:13,720 Speaker 2: from there. So basically, the operations officer in the rage 58 00:03:13,800 --> 00:03:16,800 Speaker 2: in my batton, my squadron is a tank like cavalry. 59 00:03:17,440 --> 00:03:19,600 Speaker 2: He said, you need to start thinking about. 60 00:03:20,080 --> 00:03:20,760 Speaker 1: Getting out of here. 61 00:03:21,360 --> 00:03:24,520 Speaker 2: Yeah, so I you know, I said, you know, what 62 00:03:24,520 --> 00:03:25,920 Speaker 2: do you do if you have a If you have 63 00:03:26,040 --> 00:03:31,080 Speaker 2: a uh a liberal arts degree and experience is basically 64 00:03:31,120 --> 00:03:36,280 Speaker 2: shooting at people, you become a cop. So, uh, I 65 00:03:36,400 --> 00:03:37,280 Speaker 2: was thinking about. 66 00:03:37,040 --> 00:03:38,640 Speaker 1: I didn't think that's where you were going. I thought 67 00:03:38,680 --> 00:03:39,360 Speaker 1: you became a writer. 68 00:03:39,480 --> 00:03:41,720 Speaker 2: I don't know, no, no, no, that's that's later on. 69 00:03:42,880 --> 00:03:46,800 Speaker 2: So I I looked at Los Angeles lap D and 70 00:03:46,840 --> 00:03:49,760 Speaker 2: I went out there, took all the tests and they 71 00:03:49,960 --> 00:03:53,040 Speaker 2: liked me. But my my wife had flown out, which 72 00:03:53,040 --> 00:03:55,760 Speaker 2: she was going to drive back Calpaca with it and 73 00:03:56,160 --> 00:03:59,320 Speaker 2: the LAPD, the testing center and all that is in 74 00:03:59,400 --> 00:04:04,320 Speaker 2: the less fashionable section of Losing Angeles. And my wife said, 75 00:04:04,360 --> 00:04:07,520 Speaker 2: I'm not living here, you know, forget this place to help, right, 76 00:04:08,040 --> 00:04:11,400 Speaker 2: So she's so basically she said she wasn't that keen 77 00:04:11,480 --> 00:04:15,160 Speaker 2: on being a California girl. She said no, So then 78 00:04:15,200 --> 00:04:15,640 Speaker 2: I got something. 79 00:04:15,760 --> 00:04:17,680 Speaker 1: You can't take her to a bad neighborhood and be like, 80 00:04:17,720 --> 00:04:18,040 Speaker 1: this is. 81 00:04:17,960 --> 00:04:20,440 Speaker 2: What I said. You know, if I said if I 82 00:04:20,440 --> 00:04:21,120 Speaker 2: got this job. 83 00:04:21,040 --> 00:04:23,000 Speaker 3: You might have misplayed that a little bit. Yeah, yeah, 84 00:04:23,000 --> 00:04:24,680 Speaker 3: I said, if I shouldn't have I shouldn't have let 85 00:04:24,720 --> 00:04:26,800 Speaker 3: her come with. I said, I said, if I got 86 00:04:26,800 --> 00:04:28,640 Speaker 3: this job, I mean we'd be living in Seami Valley 87 00:04:28,760 --> 00:04:32,160 Speaker 3: or something, but in the valley. But she said no, no, no, And. 88 00:04:32,200 --> 00:04:32,920 Speaker 2: I like l A. 89 00:04:33,040 --> 00:04:35,200 Speaker 1: I was actually, yeah, I like LA too. I was 90 00:04:35,200 --> 00:04:37,160 Speaker 1: actually thinking about trying to destroy it. 91 00:04:37,240 --> 00:04:40,640 Speaker 2: But yeah, yeah, even though yeah, it's run by places, 92 00:04:40,720 --> 00:04:43,719 Speaker 2: you know, so like California is arguably America's most beautiful state, 93 00:04:43,960 --> 00:04:46,320 Speaker 2: but it's run by absolute credns right. 94 00:04:46,320 --> 00:04:48,560 Speaker 1: Right, Ron DeSantis has a funny line, and I'm not 95 00:04:48,600 --> 00:04:51,160 Speaker 1: sure it's his own, but you know how bad it 96 00:04:51,480 --> 00:04:54,279 Speaker 1: like government? Do you need to be to ruin California? 97 00:04:54,400 --> 00:04:55,640 Speaker 1: Something as good as California. 98 00:04:55,680 --> 00:04:58,520 Speaker 2: It's a glorious state. It's a beauty. It's a beautiful state, 99 00:04:58,600 --> 00:05:01,839 Speaker 2: but just run by cretins anyway, So that didn't happen. 100 00:05:01,960 --> 00:05:04,480 Speaker 2: So I ended up coming back to I went to 101 00:05:04,560 --> 00:05:06,760 Speaker 2: high school in Dallas after my im the Navy Brad. 102 00:05:06,760 --> 00:05:09,320 Speaker 2: I grew up in the Navy. My dad retired in Dallas, 103 00:05:09,440 --> 00:05:11,440 Speaker 2: the Dallas area, so we're in this little part of 104 00:05:11,480 --> 00:05:15,040 Speaker 2: a town outside of Dallas. So I went back there after. 105 00:05:15,600 --> 00:05:17,320 Speaker 2: I got out of the Army and got a job 106 00:05:17,360 --> 00:05:22,760 Speaker 2: with a suburban police department in the Dallas area. And 107 00:05:22,839 --> 00:05:29,600 Speaker 2: it was okay. I was a little bored with speeding 108 00:05:29,600 --> 00:05:32,520 Speaker 2: tickets and I started letting people off, you. 109 00:05:32,480 --> 00:05:34,680 Speaker 1: Know, because is that why police do it? I mean, 110 00:05:35,040 --> 00:05:39,680 Speaker 1: it's funny, how do you know? But how do you decide. 111 00:05:41,440 --> 00:05:42,800 Speaker 2: If he was I mean, like I said, so, if 112 00:05:42,839 --> 00:05:47,279 Speaker 2: you're a jerk to the officer expecting the ticket, or 113 00:05:47,320 --> 00:05:49,760 Speaker 2: maybe three because you can leave it. So anyway, I 114 00:05:49,800 --> 00:05:51,320 Speaker 2: was letting people off because I don't like to be 115 00:05:51,360 --> 00:05:55,839 Speaker 2: a jerk, and that was not endearing me to my police. 116 00:05:56,120 --> 00:06:00,120 Speaker 1: Seeing a little bit of a pattern here with challenging authority, Yeah. 117 00:06:00,080 --> 00:06:04,039 Speaker 2: Yeah, exactly. And the things I liked, I liked kicking indoors, 118 00:06:04,279 --> 00:06:05,839 Speaker 2: you know, with that sort of thing. 119 00:06:05,680 --> 00:06:08,000 Speaker 1: That we didn't like giving traffic tickets. 120 00:06:07,720 --> 00:06:09,839 Speaker 2: You don't like, giving track was boring, and I was 121 00:06:09,920 --> 00:06:14,000 Speaker 2: bored my wife, who was pregnant at the time, you 122 00:06:14,000 --> 00:06:16,240 Speaker 2: know this like pretty soon after I came back from war. 123 00:06:16,400 --> 00:06:19,479 Speaker 2: Then she ended up she wasn't happy with the things 124 00:06:19,520 --> 00:06:20,800 Speaker 2: I liked, which is the. 125 00:06:20,839 --> 00:06:22,120 Speaker 1: Kicking kicking indoors. 126 00:06:22,200 --> 00:06:27,440 Speaker 2: Yeah, and I wasn't happy with the running traffic. So anyway, 127 00:06:27,480 --> 00:06:30,400 Speaker 2: so that did my law enforcement career was pretty brief. 128 00:06:30,720 --> 00:06:31,080 Speaker 2: I told you. 129 00:06:31,160 --> 00:06:35,599 Speaker 1: She said she was seems wise actually in neighborhood. Doesn't 130 00:06:35,600 --> 00:06:40,160 Speaker 1: want taking chances kicking indoors, I mean, especially when what wives, 131 00:06:40,480 --> 00:06:42,240 Speaker 1: you know, should be Actually. 132 00:06:41,960 --> 00:06:43,760 Speaker 2: She didn't want me, you know, just coming back from 133 00:06:43,839 --> 00:06:45,640 Speaker 2: war and I ended up getting being a cop. She 134 00:06:45,640 --> 00:06:47,840 Speaker 2: wouldn't have to do it. And I told her, I said, well, 135 00:06:48,880 --> 00:06:51,320 Speaker 2: if I give this up, because it was a decent paid, 136 00:06:51,560 --> 00:06:54,479 Speaker 2: you know, suburban comfortable well of these sort of upper 137 00:06:54,480 --> 00:06:57,720 Speaker 2: middle class suburbs of Dallas. And I said, well, there 138 00:06:57,760 --> 00:07:01,039 Speaker 2: was this crazy idea I had. If I give this up, 139 00:07:01,600 --> 00:07:03,640 Speaker 2: I said, I've always liked newspapers. I've always been a 140 00:07:03,680 --> 00:07:06,480 Speaker 2: big fan of newspapers. And I like, I'm interested in 141 00:07:06,640 --> 00:07:09,479 Speaker 2: you know, current events. And I said, I would had 142 00:07:09,680 --> 00:07:13,640 Speaker 2: never did that as an undergraduate. I had no experience writing, 143 00:07:13,920 --> 00:07:15,880 Speaker 2: never did didn't do it in high school because we 144 00:07:15,880 --> 00:07:17,680 Speaker 2: didn't really have a paper in my high school was 145 00:07:17,720 --> 00:07:20,280 Speaker 2: a small, small town. So I said, I have this 146 00:07:20,360 --> 00:07:23,960 Speaker 2: idea of newspapers. I don't know anybody, never didn't. I 147 00:07:23,960 --> 00:07:27,600 Speaker 2: had never known anybody in the industry. Whatever. So I 148 00:07:27,680 --> 00:07:29,680 Speaker 2: went to grad school. I said, I want to do this. 149 00:07:30,080 --> 00:07:35,679 Speaker 2: She said, whatever, I guess. So I went to grad school, uh, 150 00:07:35,960 --> 00:07:39,440 Speaker 2: to study journalism just to get an entrary into the BID. 151 00:07:39,760 --> 00:07:41,400 Speaker 2: I didn't know how to do it any other way. 152 00:07:42,120 --> 00:07:43,880 Speaker 1: I did the same thing. I also went to grad 153 00:07:43,920 --> 00:07:47,280 Speaker 1: school for politics. I didn't know how to change careers. 154 00:07:47,360 --> 00:07:49,960 Speaker 1: That's really no I met. 155 00:07:50,040 --> 00:07:53,560 Speaker 2: I know some colleagues and they're like second generation journalists. 156 00:07:53,800 --> 00:07:56,080 Speaker 2: Ads and their moms were all their work, right yeah, 157 00:07:56,080 --> 00:07:58,680 Speaker 2: I worry. I'm not only the first college graduate in 158 00:07:58,720 --> 00:08:00,960 Speaker 2: my family, I'm the first high school graduate. 159 00:08:01,000 --> 00:08:06,840 Speaker 1: Like wow, so impressive, thank you, you. 160 00:08:06,800 --> 00:08:10,160 Speaker 2: Know, and now my daughter has multiple degrees, and right. 161 00:08:10,240 --> 00:08:12,440 Speaker 1: That's what we want. We want the kids to want 162 00:08:12,480 --> 00:08:15,560 Speaker 1: to improve it. Although does that number go like because 163 00:08:15,600 --> 00:08:17,080 Speaker 1: now like when my when my son is like, I 164 00:08:17,080 --> 00:08:19,400 Speaker 1: don't know if I want to go to college, I'm like, don't. 165 00:08:19,760 --> 00:08:20,280 Speaker 1: It's okay. 166 00:08:20,400 --> 00:08:21,880 Speaker 2: I mean, it depends on what you want to do. 167 00:08:22,280 --> 00:08:24,360 Speaker 1: Not going to I wonder if he's going to be 168 00:08:24,360 --> 00:08:27,520 Speaker 1: saying proudly someday like I'm the first of my family 169 00:08:27,640 --> 00:08:28,760 Speaker 1: not to go to college. 170 00:08:28,840 --> 00:08:30,320 Speaker 2: Yeah, I'm the first of my family to learn the 171 00:08:30,360 --> 00:08:33,440 Speaker 2: tru learned something. It's actually market right, Yeah, you know 172 00:08:33,520 --> 00:08:36,160 Speaker 2: it's like the colleague. You know, my daughter when she 173 00:08:36,240 --> 00:08:38,679 Speaker 2: was an undergrad, early in her you know, thinking about it, 174 00:08:38,760 --> 00:08:42,040 Speaker 2: she said, what if I go made your journalism And 175 00:08:42,080 --> 00:08:45,439 Speaker 2: I said, I'll drag you out of class your hair 176 00:08:45,640 --> 00:08:47,719 Speaker 2: if you made. That's one of the things you talked 177 00:08:47,720 --> 00:08:49,840 Speaker 2: about her. You know, I'm very proud that I didn't 178 00:08:49,880 --> 00:08:53,240 Speaker 2: let her major in journalism. She's a nurse, so it's 179 00:08:53,320 --> 00:08:56,480 Speaker 2: like she's like that anyway. Yeah, so so I ended 180 00:08:56,559 --> 00:08:59,440 Speaker 2: up doing that and I started just working it. You know. 181 00:09:00,080 --> 00:09:03,560 Speaker 2: I actually left but without getting my masters because I 182 00:09:03,559 --> 00:09:07,120 Speaker 2: got a job and I said, well, you know, screw college. 183 00:09:07,160 --> 00:09:10,240 Speaker 2: I'm on the here for to get into to get 184 00:09:10,240 --> 00:09:14,320 Speaker 2: a job. I got a job with a little suburban weekly, 185 00:09:14,760 --> 00:09:18,400 Speaker 2: my first job in the Dallas area, a little subwriver 186 00:09:18,480 --> 00:09:21,720 Speaker 2: with Dallas Garland. I went from there and then I 187 00:09:21,720 --> 00:09:24,120 Speaker 2: got an offer. Well, you know, it's just like this 188 00:09:24,440 --> 00:09:26,679 Speaker 2: typical journalists me, how your bank a couple of years 189 00:09:26,760 --> 00:09:29,199 Speaker 2: one place, you jumped to another place. Yeah. I did 190 00:09:29,200 --> 00:09:31,840 Speaker 2: a couple of years in like in the suburbs on weekly, 191 00:09:31,880 --> 00:09:33,640 Speaker 2: and then I went to El Paso, where I'd been 192 00:09:33,640 --> 00:09:36,480 Speaker 2: stationed in the Army earlier, and got a job with 193 00:09:36,760 --> 00:09:39,360 Speaker 2: the Olpasso Times, with my first daily, which is a 194 00:09:39,360 --> 00:09:43,600 Speaker 2: GNET paper. From there I went. I did a couple 195 00:09:43,559 --> 00:09:45,439 Speaker 2: of years there, and then I went over to San 196 00:09:45,480 --> 00:09:48,839 Speaker 2: Antonio and I worked for a as a bureau chief 197 00:09:48,880 --> 00:09:51,880 Speaker 2: for a paper called Air Force Times, covering the military. 198 00:09:53,240 --> 00:09:54,840 Speaker 2: Did that for about a year and a half, and 199 00:09:54,840 --> 00:09:57,200 Speaker 2: then from there I went to Houston with the Houston 200 00:09:57,280 --> 00:10:01,200 Speaker 2: Chronicle and I was there for twenty years. Uh and 201 00:10:01,240 --> 00:10:05,480 Speaker 2: then uh, you know, work basically did a lot, mostly crime. 202 00:10:05,600 --> 00:10:09,600 Speaker 2: I ended, you know, mostly police speech stuff. And then I, uh, 203 00:10:09,760 --> 00:10:13,880 Speaker 2: I was actually I had actually retired and was thinking 204 00:10:13,920 --> 00:10:16,040 Speaker 2: about what I wanted to do, and I was considering 205 00:10:16,120 --> 00:10:19,880 Speaker 2: law school. And I hate lawyers. I mean, you know, 206 00:10:19,960 --> 00:10:20,719 Speaker 2: I don't have I. 207 00:10:20,640 --> 00:10:21,679 Speaker 1: Can't be a doctor here. 208 00:10:22,040 --> 00:10:25,720 Speaker 2: Yeah, yeah, no any idiot to be a lawyer, any 209 00:10:25,720 --> 00:10:27,680 Speaker 2: idiot to be a lawyer. So I said, they go 210 00:10:27,720 --> 00:10:30,679 Speaker 2: to law school. And I said, you know, to get 211 00:10:30,960 --> 00:10:34,760 Speaker 2: to be saddled with another which essentially another house payment. Early, 212 00:10:36,480 --> 00:10:38,240 Speaker 2: you get it, love it. 213 00:10:38,320 --> 00:10:40,440 Speaker 1: You can't. You can't go to law school if you 214 00:10:40,480 --> 00:10:42,440 Speaker 1: don't really want to go to law school. 215 00:10:42,720 --> 00:10:46,920 Speaker 2: I was gifty obsessed with it. And so then a 216 00:10:47,000 --> 00:10:50,679 Speaker 2: guy I knew through social media said he was up 217 00:10:50,679 --> 00:10:52,800 Speaker 2: at the Washington Times and he said, we have an 218 00:10:52,840 --> 00:10:57,840 Speaker 2: opening for a military reporter. Do you know anybody who 219 00:10:57,960 --> 00:11:03,559 Speaker 2: might be interested? And I said, yeah, me. So about 220 00:11:03,559 --> 00:11:07,760 Speaker 2: five years ago I flew up here interviewed. They called me, 221 00:11:07,840 --> 00:11:11,679 Speaker 2: offered me a job, so I said sure, and I 222 00:11:11,720 --> 00:11:13,520 Speaker 2: told my wife, I said, I'm at the age I 223 00:11:13,520 --> 00:11:18,600 Speaker 2: can do one more change, one more major pre careers, 224 00:11:18,640 --> 00:11:22,040 Speaker 2: you know, and still have enough time to build up capital, 225 00:11:23,000 --> 00:11:27,360 Speaker 2: you know, job. So I ended up selling my house. 226 00:11:27,440 --> 00:11:30,080 Speaker 2: I had a big house in Texas. I'm a big 227 00:11:30,160 --> 00:11:32,240 Speaker 2: piece of land. I mean it's a big lot, but 228 00:11:32,320 --> 00:11:33,400 Speaker 2: it was a big, big lot. 229 00:11:33,679 --> 00:11:34,199 Speaker 1: Yeah. 230 00:11:34,240 --> 00:11:38,120 Speaker 2: And now and got rid of my giant furniture, a 231 00:11:38,200 --> 00:11:41,439 Speaker 2: giant Texas house and giant Texas furniture. I'm moving to 232 00:11:41,480 --> 00:11:46,160 Speaker 2: an apartment in Arlington, Virginia, and I had to get 233 00:11:46,240 --> 00:11:49,120 Speaker 2: rid of about half of my furniture. And it's it's 234 00:11:49,160 --> 00:11:50,360 Speaker 2: an adjustment from. 235 00:11:50,240 --> 00:11:51,000 Speaker 1: Yeah, for sure. 236 00:11:53,280 --> 00:11:57,480 Speaker 2: It's been about five years, and I'm I'm thinking, you know, 237 00:11:57,760 --> 00:12:01,920 Speaker 2: I'm contemplating, you know, if I buy another house, maybe 238 00:12:01,960 --> 00:12:06,600 Speaker 2: a town house or something. But the prices, you know, yeah, 239 00:12:06,679 --> 00:12:09,160 Speaker 2: they keep going up, Yeah, they keep going up. It 240 00:12:09,200 --> 00:12:11,600 Speaker 2: And I said, well, I really like to move West 241 00:12:11,679 --> 00:12:14,920 Speaker 2: Virginia would be nice. It's a little far from like 242 00:12:15,040 --> 00:12:17,200 Speaker 2: the Pentagon, of which I am not allowed to be 243 00:12:17,280 --> 00:12:19,520 Speaker 2: in anymore. Thank you to the thanks for the current 244 00:12:19,679 --> 00:12:22,840 Speaker 2: Secretary of Defense. I was part of that group that 245 00:12:23,200 --> 00:12:27,400 Speaker 2: did not sign the document. So anyway, yeah, so I've 246 00:12:27,440 --> 00:12:29,440 Speaker 2: been and I've been here for like the last five 247 00:12:29,760 --> 00:12:33,199 Speaker 2: going on six years now, covering one year. Last year 248 00:12:33,280 --> 00:12:37,200 Speaker 2: Trump won all of Biden and now Trump too, we're. 249 00:12:37,040 --> 00:12:39,040 Speaker 1: Going to take a quick break and be right back 250 00:12:39,080 --> 00:12:45,360 Speaker 1: on the Carol Marcowitch Show. Is there any truth to 251 00:12:45,440 --> 00:12:49,000 Speaker 1: the story that when something's going on at the Pentagon, 252 00:12:49,280 --> 00:12:53,200 Speaker 1: all the pizza places around the Pentagon get more action? 253 00:12:53,600 --> 00:12:55,360 Speaker 1: Like you have you seen this thing where there's like 254 00:12:55,840 --> 00:12:57,480 Speaker 1: a Pentagon pizza tracker. 255 00:12:57,600 --> 00:13:00,280 Speaker 2: Yeah, there's actually yeah, there's actually a place he's in 256 00:13:00,360 --> 00:13:03,520 Speaker 2: the Pentagon that makes pizzaes. I mean there's there's nothing 257 00:13:03,559 --> 00:13:06,400 Speaker 2: within like walking distance of the Pentagon, so they do 258 00:13:06,440 --> 00:13:08,199 Speaker 2: it all in house. 259 00:13:08,640 --> 00:13:12,480 Speaker 1: But have you seen that where like when we might attack, 260 00:13:12,720 --> 00:13:13,000 Speaker 1: you know. 261 00:13:13,679 --> 00:13:18,760 Speaker 2: Well, something you'll see like trays of food being delivered, 262 00:13:19,440 --> 00:13:20,280 Speaker 2: so there is. 263 00:13:20,360 --> 00:13:23,360 Speaker 1: You do watch stuff like that to see if something 264 00:13:23,440 --> 00:13:24,560 Speaker 1: is going down the building. 265 00:13:24,800 --> 00:13:27,880 Speaker 2: Yeah, yeah, so yeah we do. We did watch that 266 00:13:27,960 --> 00:13:30,440 Speaker 2: and it's I mean you would see things like that. 267 00:13:30,520 --> 00:13:32,440 Speaker 2: All of a sudden, you would see these trays of 268 00:13:32,520 --> 00:13:34,600 Speaker 2: food being sort of whisked from the. 269 00:13:34,679 --> 00:13:36,160 Speaker 1: Food like where are we attacking? 270 00:13:37,520 --> 00:13:40,960 Speaker 2: Yeah, because there is a food court in the Pentagon, 271 00:13:41,800 --> 00:13:44,360 Speaker 2: you'll see that being whisked. You know, rush down the 272 00:13:44,360 --> 00:13:46,440 Speaker 2: hall and figured, you know, something's up. 273 00:13:47,120 --> 00:13:50,480 Speaker 1: You know, what are you most proud of in your life? 274 00:13:53,280 --> 00:13:56,600 Speaker 2: Well, let me, I mean I'm most proud of my daughter. 275 00:13:58,559 --> 00:14:01,360 Speaker 2: My daughter, Uh well, so obviously, I mean I'm going 276 00:14:01,400 --> 00:14:03,400 Speaker 2: to say something like that, obviously, and I am. I'm 277 00:14:03,480 --> 00:14:07,440 Speaker 2: very proud of my daughter. She is a I mean 278 00:14:07,480 --> 00:14:10,240 Speaker 2: as the I'm proud of the fact that I helped 279 00:14:10,280 --> 00:14:13,520 Speaker 2: create a woman. She is a right now, she's a 280 00:14:13,520 --> 00:14:17,280 Speaker 2: forensic nurse, which means here in the DC area, which 281 00:14:17,360 --> 00:14:20,200 Speaker 2: you know, women who are assaulted. She's the one who 282 00:14:20,240 --> 00:14:22,440 Speaker 2: takes care of that and gathers the evidence. I mean, 283 00:14:22,440 --> 00:14:27,960 Speaker 2: she's an RN math. She has multiple degrees. You know. 284 00:14:28,080 --> 00:14:33,000 Speaker 2: If I'm proud of being her father, so that's a 285 00:14:33,000 --> 00:14:37,800 Speaker 2: given right. But if you want to see just me 286 00:14:39,200 --> 00:14:42,880 Speaker 2: something specifically I did. Like when I was in the 287 00:14:43,000 --> 00:14:45,280 Speaker 2: I was a lieutenant and a tank unit in the 288 00:14:45,320 --> 00:14:48,240 Speaker 2: Gulf War. I was a platoon leader at a platoon 289 00:14:48,520 --> 00:14:53,600 Speaker 2: under me. I was twenty something and we were deploying 290 00:14:53,640 --> 00:14:55,560 Speaker 2: and I wanted to go. I was desperate to go. 291 00:14:55,720 --> 00:14:57,880 Speaker 2: I mean this is because I said, you know, you 292 00:14:57,960 --> 00:15:01,720 Speaker 2: spend your whole life pre preparing mm hmm, you want 293 00:15:01,800 --> 00:15:04,000 Speaker 2: to do it. I mean, it's just it's just natural. 294 00:15:04,920 --> 00:15:08,000 Speaker 2: And I but what I was, you know, I had 295 00:15:08,320 --> 00:15:12,000 Speaker 2: a dozen guys under me, and I wasn't afraid for 296 00:15:12,160 --> 00:15:15,440 Speaker 2: my own safety, right, I figured i'd be. I'd be, 297 00:15:15,680 --> 00:15:19,200 Speaker 2: although the life expectancy of a lieutenant in combat is 298 00:15:19,240 --> 00:15:21,720 Speaker 2: supposed to be pretty low. But I said, you know, 299 00:15:21,760 --> 00:15:25,520 Speaker 2: I was an odds player. I figured I could, you know, 300 00:15:25,680 --> 00:15:29,000 Speaker 2: muddle through it. But I was afraid that through some 301 00:15:29,320 --> 00:15:33,800 Speaker 2: failing on my part as a lieutenant, as an officer, 302 00:15:34,200 --> 00:15:36,600 Speaker 2: that I would get some of my guys hurt or 303 00:15:36,640 --> 00:15:39,760 Speaker 2: worship killed. Was my underlying you know, beyond you know, 304 00:15:39,800 --> 00:15:44,080 Speaker 2: doing the job first, making sure I and I was 305 00:15:44,120 --> 00:15:46,000 Speaker 2: most proud of the fact that all the guys I 306 00:15:46,080 --> 00:15:48,040 Speaker 2: took in a battle, I brought out a battle. 307 00:15:48,240 --> 00:15:50,120 Speaker 1: That is something to be really proud of, you know. 308 00:15:50,240 --> 00:15:52,400 Speaker 2: I mean, I got some I have a few medals, 309 00:15:52,440 --> 00:15:55,400 Speaker 2: nothing no Audie Murphy stuff, but I got a few medals. 310 00:15:55,440 --> 00:15:58,040 Speaker 2: But the fact is I did not have There were 311 00:15:58,040 --> 00:16:03,680 Speaker 2: no orphans or with those you know in my family 312 00:16:03,680 --> 00:16:05,200 Speaker 2: they were that. 313 00:16:05,200 --> 00:16:05,960 Speaker 1: That's really great. 314 00:16:06,400 --> 00:16:08,240 Speaker 2: That's some one thing I'm the most proud of because 315 00:16:08,240 --> 00:16:11,240 Speaker 2: I I really it kept me up night when we 316 00:16:11,240 --> 00:16:13,560 Speaker 2: were over there for seven months or so. It it really 317 00:16:13,600 --> 00:16:17,480 Speaker 2: kept me up nights, just worried that I would do 318 00:16:17,560 --> 00:16:20,320 Speaker 2: something wrong right and and there would be someone killed 319 00:16:20,440 --> 00:16:23,640 Speaker 2: because of that. Yeah, but I didn't like all the 320 00:16:23,680 --> 00:16:28,960 Speaker 2: guys who followed me across the berm into Iraq came back. 321 00:16:29,320 --> 00:16:31,040 Speaker 2: So that's what I'm probably most proud of. 322 00:16:32,040 --> 00:16:35,200 Speaker 1: Give us a five year out prediction, and it could 323 00:16:35,240 --> 00:16:36,560 Speaker 1: be about anything at all. 324 00:16:37,520 --> 00:16:39,960 Speaker 2: You know, I read that when you asked that one 325 00:16:39,960 --> 00:16:43,160 Speaker 2: of the people I like movies. Nobody ever asked me 326 00:16:43,200 --> 00:16:46,000 Speaker 2: about movies. So I'm going to ask my five year 327 00:16:46,040 --> 00:16:48,840 Speaker 2: prediction about the movie industry. I watch a lot of movies. 328 00:16:48,880 --> 00:16:51,640 Speaker 2: I know a lot about movies. Nobody ever asked me 329 00:16:51,680 --> 00:16:52,560 Speaker 2: because I've never. 330 00:16:53,320 --> 00:16:54,520 Speaker 1: Maybe that's the next career. 331 00:16:54,480 --> 00:16:55,440 Speaker 2: I've never got to get. 332 00:16:57,320 --> 00:16:57,760 Speaker 1: Reviewer. 333 00:16:58,160 --> 00:17:01,720 Speaker 2: Yeah, nobody's to ask. So here's what I think. In 334 00:17:01,840 --> 00:17:05,400 Speaker 2: five years, Hollywood as we know it will be dead. 335 00:17:06,040 --> 00:17:09,560 Speaker 2: It'll be gone. There'll be I you know, there will 336 00:17:09,600 --> 00:17:12,000 Speaker 2: be I've been looking at AI. You've seen these like 337 00:17:12,119 --> 00:17:16,359 Speaker 2: AI like a little many things on social media and 338 00:17:16,480 --> 00:17:20,720 Speaker 2: have like it is scary how good it can be 339 00:17:20,760 --> 00:17:24,000 Speaker 2: and how good it has gotten in the last year. 340 00:17:24,600 --> 00:17:26,600 Speaker 2: You know, you can like Filler on the Roof with 341 00:17:26,680 --> 00:17:28,560 Speaker 2: John Wayne, but put that in there. All of a 342 00:17:28,560 --> 00:17:30,080 Speaker 2: sudden you got Fillering on the Roof with John Wayne 343 00:17:30,119 --> 00:17:33,440 Speaker 2: and there's John Wayne, you know, or something. I think 344 00:17:33,600 --> 00:17:37,440 Speaker 2: that is, you know, the AI is going to destroy 345 00:17:37,560 --> 00:17:40,600 Speaker 2: the and you know, maybe it needs to. AI is 346 00:17:40,600 --> 00:17:43,399 Speaker 2: going to destroy the concept of Hollywood as we know it. 347 00:17:43,480 --> 00:17:46,280 Speaker 2: I think in five years, you know, big these big, 348 00:17:46,320 --> 00:17:49,200 Speaker 2: massive studios and you know, because they you know, even 349 00:17:49,240 --> 00:17:52,320 Speaker 2: though like they said, the Golden Goulds last night, you know, 350 00:17:52,400 --> 00:17:54,960 Speaker 2: I mean, Nicky Glazier, the host, made the joke about 351 00:17:55,440 --> 00:17:57,560 Speaker 2: you know, there's no movie being made here. You know, 352 00:17:57,640 --> 00:18:00,600 Speaker 2: they're all be made someplace else, right for a variety 353 00:18:00,800 --> 00:18:03,560 Speaker 2: you know, it's tax reasons. Yeah, but I think I 354 00:18:03,560 --> 00:18:07,320 Speaker 2: think tax and technology is going to end up just killing. 355 00:18:08,000 --> 00:18:10,199 Speaker 1: Is it going to be good? Yeah, I mean the 356 00:18:10,280 --> 00:18:13,680 Speaker 1: question right. I honestly am not a movie watcher, and 357 00:18:13,800 --> 00:18:17,320 Speaker 1: I think most movies are pretty terrible. So I'm kind 358 00:18:17,320 --> 00:18:20,400 Speaker 1: of optimistic that more people will be able to make 359 00:18:21,119 --> 00:18:24,879 Speaker 1: scripts that can come to life with AI, and maybe 360 00:18:25,240 --> 00:18:25,800 Speaker 1: it could. 361 00:18:25,640 --> 00:18:30,760 Speaker 3: Be better, but scripts negativity too, wait till the first 362 00:18:30,960 --> 00:18:33,399 Speaker 3: And like I said, sometimes the technology they look a 363 00:18:33,480 --> 00:18:35,080 Speaker 3: little artificial. 364 00:18:35,720 --> 00:18:38,600 Speaker 2: Bit you'll see like a third arm suddenly poke out 365 00:18:38,640 --> 00:18:42,199 Speaker 2: from somewhere, But that's just a technology issue, that's just refining. 366 00:18:42,280 --> 00:18:45,320 Speaker 2: I mean, you know, I've only been I've been watching 367 00:18:45,359 --> 00:18:48,000 Speaker 2: it for you know what, less than six months. 368 00:18:48,280 --> 00:18:49,560 Speaker 1: It's gotten better over that time. 369 00:18:50,440 --> 00:18:53,679 Speaker 2: And it's like, in five years, the technology is just 370 00:18:53,680 --> 00:18:56,560 Speaker 2: going to get better and it is good. I believe 371 00:18:56,600 --> 00:19:00,320 Speaker 2: it is going to literally and you know, I don't 372 00:19:00,720 --> 00:19:04,200 Speaker 2: I don't more. I wouldn't mourn the Hollywood system, sure, 373 00:19:05,119 --> 00:19:09,119 Speaker 2: because I don't really care about right, I care about 374 00:19:09,160 --> 00:19:13,919 Speaker 2: the product. And if wait until the first entirely AI 375 00:19:14,160 --> 00:19:15,720 Speaker 2: movie gets released. 376 00:19:15,680 --> 00:19:19,840 Speaker 1: Yeah, and if it's good, that will be you know something. 377 00:19:19,640 --> 00:19:22,119 Speaker 2: You know. I mean there's a lot of garbage movies 378 00:19:22,119 --> 00:19:24,719 Speaker 2: that are out there, really are in the old system. 379 00:19:25,040 --> 00:19:27,200 Speaker 2: So it's not like everything coming out of the home. 380 00:19:28,600 --> 00:19:28,639 Speaker 1: Is. 381 00:19:29,560 --> 00:19:31,159 Speaker 2: It's not all the Godfather, you know. 382 00:19:31,520 --> 00:19:34,160 Speaker 1: I was just forced to watch SpongeBob and I mean, 383 00:19:34,840 --> 00:19:40,680 Speaker 1: you know, I like, yeah. 384 00:19:40,280 --> 00:19:44,440 Speaker 2: Yeah, that sounds like something. Yeah yeah yeah, And that's uh. 385 00:19:45,119 --> 00:19:48,159 Speaker 2: But I think I think the industry is it's like 386 00:19:48,880 --> 00:19:52,359 Speaker 2: the entertainment industry is changing. Like I'll find myself watching 387 00:19:52,720 --> 00:19:57,119 Speaker 2: being more entertained by something on YouTube. Yeah, just some 388 00:19:57,760 --> 00:20:01,119 Speaker 2: influencer or whatever who's got like a track. I watch 389 00:20:01,160 --> 00:20:04,400 Speaker 2: a couple of tall a couple of travel people. They 390 00:20:04,520 --> 00:20:07,399 Speaker 2: just you know, and I'm you know, and quite frankly, 391 00:20:07,440 --> 00:20:11,320 Speaker 2: the production values look as good as any of I don't. 392 00:20:11,440 --> 00:20:15,639 Speaker 2: I don't like I've watched like a network show in 393 00:20:15,720 --> 00:20:17,919 Speaker 2: quite a long time, right, I think I think they, 394 00:20:18,119 --> 00:20:20,199 Speaker 2: Like I said, in five years, if I predict anything 395 00:20:20,240 --> 00:20:24,080 Speaker 2: five years out, it's going to be that the Hollywood system. 396 00:20:24,280 --> 00:20:26,760 Speaker 2: I think there'll be some product coming out, but the 397 00:20:26,800 --> 00:20:29,320 Speaker 2: Hollywood system as we know it will be gone. 398 00:20:29,640 --> 00:20:32,520 Speaker 1: All right, we'll chain in five years and see and 399 00:20:32,520 --> 00:20:35,720 Speaker 1: see how you did there. I've loved this conversation. I've 400 00:20:35,760 --> 00:20:37,960 Speaker 1: loved getting to know you a little bit more. Leave 401 00:20:38,080 --> 00:20:41,639 Speaker 1: us here with your best tip for my listeners on 402 00:20:41,680 --> 00:20:43,640 Speaker 1: how they can improve their lives. 403 00:20:44,920 --> 00:20:48,080 Speaker 2: Just if you have a job, do it. Don't complain 404 00:20:48,160 --> 00:20:53,439 Speaker 2: about it. You know, when you have an opportunity, shut up, listen, 405 00:20:54,240 --> 00:20:57,080 Speaker 2: don't talk all the time. It's just small stuff. I 406 00:20:57,119 --> 00:20:58,680 Speaker 2: don't have like the grand. 407 00:20:58,680 --> 00:21:00,560 Speaker 1: It's all right, small stuff, the grand things. 408 00:21:00,600 --> 00:21:03,000 Speaker 2: Small stuff is you know, it's better to listen than 409 00:21:03,040 --> 00:21:05,639 Speaker 2: to talk. It's off the better listening to talk. And 410 00:21:05,720 --> 00:21:08,800 Speaker 2: it's always better just to shut up and do your job. 411 00:21:09,320 --> 00:21:12,919 Speaker 1: That's all you know, Do your job. He is Mike Glenn. 412 00:21:13,040 --> 00:21:16,080 Speaker 1: Check out his work in the Washington Times. Thank you 413 00:21:16,119 --> 00:21:17,679 Speaker 1: so much, Mike for company, my pleasure. 414 00:21:17,760 --> 00:21:18,240 Speaker 2: Great to talk