1 00:00:03,920 --> 00:00:08,520 Speaker 1: It's that time time time, lock and load. 2 00:00:11,240 --> 00:00:40,320 Speaker 2: So Michael Arry Show is on the air, Goodline News 3 00:00:40,440 --> 00:00:41,720 Speaker 2: with Shirley Q lickor. 4 00:00:42,159 --> 00:00:44,239 Speaker 3: Well, I don't have nothing wrote down, I can tell 5 00:00:44,280 --> 00:00:47,640 Speaker 3: you what's going on down new How you learn this 6 00:00:47,800 --> 00:00:51,200 Speaker 3: is Shirley cue Liquor with your Hoodline News. I didn't 7 00:00:51,200 --> 00:00:53,280 Speaker 3: have time write nothing down, but I showed enough to 8 00:00:53,320 --> 00:00:57,800 Speaker 3: stop plenty. We went through this McDonald drive through down here, 9 00:00:58,480 --> 00:01:02,000 Speaker 3: and they got that long scuff feeding the nail female 10 00:01:02,040 --> 00:01:04,120 Speaker 3: what's her name working up in there, Li Shwanda does 11 00:01:04,160 --> 00:01:07,400 Speaker 3: something with her big old hair, dude, and she had 12 00:01:07,440 --> 00:01:10,039 Speaker 3: the gold flex on her uh you know, her mascara 13 00:01:10,120 --> 00:01:12,960 Speaker 3: where it go it's gold up there, and she acts 14 00:01:12,959 --> 00:01:15,080 Speaker 3: like she figured to give a concert at six thirty 15 00:01:15,080 --> 00:01:17,520 Speaker 3: in the morning. I'd be more than pleased if she 16 00:01:17,680 --> 00:01:20,720 Speaker 3: was just giving my egg mcmufflin. And she gonna just 17 00:01:20,720 --> 00:01:23,160 Speaker 3: throw all kind of attitudes. So I'm sorry, but me 18 00:01:23,200 --> 00:01:26,720 Speaker 3: and her got into it. The manager was called, and 19 00:01:26,760 --> 00:01:29,720 Speaker 3: the police was called, and the SWAT team was the 20 00:01:29,800 --> 00:01:31,360 Speaker 3: last ones down there. By that time. 21 00:01:31,400 --> 00:01:33,640 Speaker 1: It was overwit, you know. 22 00:01:34,240 --> 00:01:36,760 Speaker 3: But she's just gonna have to have her attitude adjusting 23 00:01:36,840 --> 00:01:39,640 Speaker 3: if she gonna work down there. This is my neighborhood. 24 00:01:39,800 --> 00:01:43,080 Speaker 3: I don't play that down here. This had been Shirley 25 00:01:43,120 --> 00:01:47,280 Speaker 3: q lickor with your hoodline news kids. No, because I 26 00:01:47,319 --> 00:01:49,160 Speaker 3: told her I'm not playing with her at noo. 27 00:01:49,360 --> 00:01:49,880 Speaker 4: I'm through it. 28 00:01:50,000 --> 00:01:57,920 Speaker 1: Her folk are fired up about vote. I cannot read 29 00:01:58,040 --> 00:02:00,280 Speaker 1: my emails as fast as they are come. And then 30 00:02:02,120 --> 00:02:07,280 Speaker 1: people are excited, I mean just fired up. Let's see 31 00:02:07,280 --> 00:02:08,360 Speaker 1: if ED is back ed? 32 00:02:10,600 --> 00:02:11,040 Speaker 5: Yes, sir? 33 00:02:11,400 --> 00:02:12,240 Speaker 1: What were you doing? 34 00:02:14,639 --> 00:02:20,160 Speaker 5: Wow? Uh? Anyway, I had the sake or call. It 35 00:02:20,200 --> 00:02:26,760 Speaker 5: was a very important but anyway, who was it was 36 00:02:26,840 --> 00:02:30,280 Speaker 5: one of the dealerships I work with. I had to 37 00:02:30,320 --> 00:02:34,000 Speaker 5: take it. And what do you do for the dealerships? 38 00:02:35,480 --> 00:02:39,959 Speaker 5: I do facility maintenance for about seven dealerships, College Station 39 00:02:40,160 --> 00:02:41,360 Speaker 5: and Conroe. 40 00:02:42,000 --> 00:02:44,760 Speaker 1: Oh okay, all right, and you you have a crew 41 00:02:44,760 --> 00:02:46,919 Speaker 1: that works for you or is it outsourced? 42 00:02:49,360 --> 00:02:51,440 Speaker 5: No? I do a lot of it, but I do 43 00:02:51,560 --> 00:02:55,240 Speaker 5: have subcontractors I use for some of the more complicated 44 00:02:55,760 --> 00:02:58,160 Speaker 5: stuff that needs permits and so on and so forth. 45 00:02:58,280 --> 00:03:00,320 Speaker 1: What is the number one reason they called what's the 46 00:03:00,400 --> 00:03:03,720 Speaker 1: number one facilities maintenance problem challenge? You'll have. 47 00:03:06,639 --> 00:03:11,400 Speaker 5: In the summertime? It's always their conditioning, and then next 48 00:03:11,440 --> 00:03:17,160 Speaker 5: to plumbing, and then all kinds of various other things, 49 00:03:17,200 --> 00:03:22,680 Speaker 5: and plumbing is usually a pretty good, pretty busy area. Toilet, 50 00:03:25,120 --> 00:03:28,200 Speaker 5: that's one of them, that's one of mine. 51 00:03:29,440 --> 00:03:32,360 Speaker 1: What are they? Is it like tim wats putting tampons 52 00:03:32,360 --> 00:03:32,760 Speaker 1: down in there? 53 00:03:32,800 --> 00:03:33,000 Speaker 4: What? 54 00:03:33,000 --> 00:03:35,240 Speaker 1: What are they? Why are they stopping up the toilet? 55 00:03:38,400 --> 00:03:38,600 Speaker 4: Uh? 56 00:03:40,080 --> 00:03:44,080 Speaker 5: Most of the time they uh just walk up a 57 00:03:44,400 --> 00:03:49,640 Speaker 5: collar paper like a baseball and that would be the women's. 58 00:03:51,200 --> 00:03:54,200 Speaker 1: And are is there something inside that wad? 59 00:03:57,000 --> 00:03:59,360 Speaker 5: I don't think so, but when I get to it, 60 00:03:59,400 --> 00:04:02,200 Speaker 5: you can't tell. 61 00:04:00,000 --> 00:04:05,920 Speaker 1: Well, have mercy, so you have plumbers on staff. 62 00:04:08,120 --> 00:04:10,680 Speaker 5: Yeah, I got plumbers that I was in construction for 63 00:04:10,680 --> 00:04:13,800 Speaker 5: about thirty years, so I had not the subcontracts I 64 00:04:13,960 --> 00:04:18,120 Speaker 5: used there, and I married up most of them to 65 00:04:19,040 --> 00:04:21,040 Speaker 5: tie in with the facility maintenance. 66 00:04:22,480 --> 00:04:26,920 Speaker 1: You know, one of the things that that restaurants will 67 00:04:26,960 --> 00:04:30,200 Speaker 1: tell you is that first generation Mexicans who come here, 68 00:04:31,000 --> 00:04:33,800 Speaker 1: and this is not only true in Mexico, but it's 69 00:04:33,839 --> 00:04:37,640 Speaker 1: a common issue here, is the Mexican plumbing system is 70 00:04:37,640 --> 00:04:42,119 Speaker 1: so bad that they don't flush toilet paper or anything else, 71 00:04:42,600 --> 00:04:45,359 Speaker 1: so they put it in the trash. So like convenience 72 00:04:45,360 --> 00:04:47,920 Speaker 1: store owners and restaurants have told me that you'll walk 73 00:04:47,960 --> 00:04:50,320 Speaker 1: in and it smells real bad, and you've got pooh 74 00:04:50,920 --> 00:04:54,920 Speaker 1: on toilet paper that's been put in the in the trash, 75 00:04:55,120 --> 00:04:59,400 Speaker 1: and they're not trying to destroy vandalize your place. That's 76 00:04:59,480 --> 00:05:02,680 Speaker 1: the cold. Sure they've come from where you don't put 77 00:05:02,720 --> 00:05:06,039 Speaker 1: the toilet paper down the toilet, so at least in 78 00:05:06,080 --> 00:05:08,560 Speaker 1: that situation, nobody's clogging up your toilet. 79 00:05:11,720 --> 00:05:14,120 Speaker 5: Yeah, and I live in a rural area and the 80 00:05:14,160 --> 00:05:17,440 Speaker 5: convenience stores around there ask you to put the toilet 81 00:05:17,480 --> 00:05:20,240 Speaker 5: paper in the trash because most of them are on 82 00:05:20,279 --> 00:05:21,200 Speaker 5: the septic system. 83 00:05:23,400 --> 00:05:26,840 Speaker 1: Yeah, no, that's that is absolutely the case. What do 84 00:05:26,920 --> 00:05:27,640 Speaker 1: you call about, ed. 85 00:05:29,640 --> 00:05:34,760 Speaker 5: Well, Deer season opens on first, the first weekend prior 86 00:05:34,839 --> 00:05:39,880 Speaker 5: to to voting on that next Tuesday, and a lot 87 00:05:39,880 --> 00:05:41,880 Speaker 5: of these guys are two or three hundred miles away 88 00:05:41,920 --> 00:05:43,960 Speaker 5: from here, and they take off that whole week on 89 00:05:44,080 --> 00:05:47,000 Speaker 5: opening week, and they won't be anywhere near where they're 90 00:05:47,000 --> 00:05:49,239 Speaker 5: supposed to vote. So I just want to remind them 91 00:05:49,760 --> 00:05:52,480 Speaker 5: to vote early because none of them are going to 92 00:05:52,520 --> 00:05:56,840 Speaker 5: turn around and on Tuesday and drive back to vote 93 00:05:56,920 --> 00:05:59,480 Speaker 5: and then go back to the least. And there's quite 94 00:05:59,480 --> 00:06:01,760 Speaker 5: a few hundred out there, so just want to remind 95 00:06:01,800 --> 00:06:02,599 Speaker 5: them to vote. Early. 96 00:06:03,120 --> 00:06:07,520 Speaker 1: YEP. One of the most insidious of the annoying irritants 97 00:06:07,520 --> 00:06:09,440 Speaker 1: that I have to block around this time of year 98 00:06:10,080 --> 00:06:14,120 Speaker 1: is the people who they've they figured it all out. 99 00:06:13,680 --> 00:06:16,600 Speaker 1: They sit and they model a game, this scene all out, 100 00:06:16,640 --> 00:06:20,440 Speaker 1: and what they think everybody should do is nobody vote 101 00:06:21,440 --> 00:06:25,080 Speaker 1: and go in and vote at the last second on 102 00:06:25,200 --> 00:06:28,360 Speaker 1: the last day, so the line will be eighty five 103 00:06:28,440 --> 00:06:31,400 Speaker 1: hours long. Go in there and vote, and then the 104 00:06:31,480 --> 00:06:35,920 Speaker 1: Democrats can't cheat us. Well, Clifford Tatum figured that one out, 105 00:06:36,640 --> 00:06:38,680 Speaker 1: So all the people that sandbag and didn't vote till 106 00:06:38,680 --> 00:06:40,920 Speaker 1: the last minute on Alex Meeler didn't get to vote. 107 00:06:40,920 --> 00:06:46,040 Speaker 1: They just didn't send ballots. So I push and campaigns 108 00:06:46,040 --> 00:06:52,480 Speaker 1: push for people to vote early, because see, the voter 109 00:06:52,600 --> 00:06:56,800 Speaker 1: fraud thing has gotten into people's heads so badly that 110 00:06:57,000 --> 00:07:00,800 Speaker 1: now we've got people doing things that are counterproductive to 111 00:07:00,880 --> 00:07:06,480 Speaker 1: winning elections because they're so twisted in knots over the 112 00:07:06,560 --> 00:07:12,440 Speaker 1: voter fraud that they're now doing irrational things because they're 113 00:07:12,560 --> 00:07:16,800 Speaker 1: so obsessed with the voter fraud as opposed to voting 114 00:07:16,840 --> 00:07:20,160 Speaker 1: and getting other people to vote, and because that's the 115 00:07:20,200 --> 00:07:23,280 Speaker 1: one thing they actually can do. You know, it's funny 116 00:07:23,840 --> 00:07:26,000 Speaker 1: people will say, how'd you lose all that weight? I 117 00:07:26,040 --> 00:07:29,400 Speaker 1: eat once a day? Really, yep, once a day. I 118 00:07:29,400 --> 00:07:32,120 Speaker 1: eat in the evening one time. Isn't that bad for 119 00:07:32,200 --> 00:07:37,240 Speaker 1: you? You're probably carrying two hundred extra pounds. You do the math, Well, 120 00:07:37,520 --> 00:07:39,440 Speaker 1: well then what do you? Can you eat? 121 00:07:39,480 --> 00:07:39,560 Speaker 5: This? 122 00:07:39,840 --> 00:07:42,760 Speaker 1: Can you? And then you realize that person doesn't want 123 00:07:42,800 --> 00:07:46,600 Speaker 1: to lose weight. That person is in this loop of 124 00:07:46,680 --> 00:07:50,880 Speaker 1: dumb questions and dumb decisions and focus majoring in the 125 00:07:50,960 --> 00:07:54,960 Speaker 1: minors and focusing on things that do not matter. And 126 00:07:55,000 --> 00:07:57,840 Speaker 1: you can't help that person. And I've just I've stopped 127 00:07:57,840 --> 00:08:02,960 Speaker 1: trying because they'll make you crazy. But if people vote early, 128 00:08:03,480 --> 00:08:07,840 Speaker 1: we're sure they vote. It's depressing when you think about 129 00:08:08,200 --> 00:08:11,240 Speaker 1: at the end of the election that there are people 130 00:08:11,280 --> 00:08:17,080 Speaker 1: who've been complaining for years how bad things are, and 131 00:08:17,120 --> 00:08:19,320 Speaker 1: they themselves are going to forget to vote. They're going 132 00:08:19,400 --> 00:08:22,440 Speaker 1: to forget that they were supposed to cast a vote 133 00:08:22,600 --> 00:08:26,160 Speaker 1: as well. Another thing, there was a poll that came 134 00:08:26,160 --> 00:08:32,440 Speaker 1: out Thursday or Friday Friday, and Trump is up in 135 00:08:32,480 --> 00:08:38,720 Speaker 1: this poll. Is the ut UT Political Institute I think 136 00:08:38,760 --> 00:08:41,960 Speaker 1: it's called poll had him at fifty one forty six, 137 00:08:42,559 --> 00:08:45,480 Speaker 1: had crews at fifty one forty four. I had people saying, 138 00:08:45,520 --> 00:08:48,040 Speaker 1: don't say that he's winning, nobody will vote. That's not 139 00:08:48,080 --> 00:08:50,560 Speaker 1: how it works. It's the opposite. You want to suppress vote, 140 00:08:50,559 --> 00:08:51,800 Speaker 1: tell people your candidates losing. 141 00:08:51,840 --> 00:08:55,320 Speaker 4: Twenty eighteen, we're talking about paper ballots. But that actually 142 00:08:55,520 --> 00:08:57,400 Speaker 4: might be one of the smartest. 143 00:08:56,960 --> 00:08:59,720 Speaker 1: Systems the Michael Show, because Russia. 144 00:08:59,360 --> 00:09:05,319 Speaker 5: Cannot hack a piece of paper. 145 00:09:06,840 --> 00:09:13,760 Speaker 1: Woman who has filmed herself eating dog food and even 146 00:09:13,800 --> 00:09:16,000 Speaker 1: her dogs are looking at her like she's goofy and 147 00:09:16,040 --> 00:09:22,320 Speaker 1: they eat dog food. She's looking into the camera head on, 148 00:09:23,280 --> 00:09:25,760 Speaker 1: she's got her boot, she got her butt pooched up, 149 00:09:26,720 --> 00:09:31,280 Speaker 1: and she's looking right at you. And fittingly, she's dog 150 00:09:31,360 --> 00:09:36,040 Speaker 1: ugly white woman and she's down there and she's just 151 00:09:36,120 --> 00:09:41,600 Speaker 1: chomping away. I hate smacking or any noises like that, 152 00:09:42,240 --> 00:09:46,880 Speaker 1: but I cannot stop watching this video because this is it. 153 00:09:46,960 --> 00:09:52,160 Speaker 1: I mean, this is when you realize that that hr director, 154 00:09:55,360 --> 00:10:00,280 Speaker 1: when you realize that the angry white women liberal and 155 00:10:00,320 --> 00:10:07,040 Speaker 1: they're purse carrying men. No matter what position they've weaseled 156 00:10:07,080 --> 00:10:15,080 Speaker 1: themselves into, they are all emotional, emotionally distraught ball bags. 157 00:10:15,120 --> 00:10:19,120 Speaker 1: I mean, they are a complete mess all the time, 158 00:10:20,360 --> 00:10:22,520 Speaker 1: and that's why they're so angry. At you and Trump 159 00:10:22,600 --> 00:10:24,360 Speaker 1: and everything. None of that is their problem. You're not 160 00:10:24,400 --> 00:10:29,680 Speaker 1: their problem. Toxic masculinity is not their problem. Their problem 161 00:10:29,720 --> 00:10:34,800 Speaker 1: is they're ugly. They're angry. They thought they were going 162 00:10:34,840 --> 00:10:39,960 Speaker 1: to be more successful, more famous, more rich. They are 163 00:10:40,360 --> 00:10:46,520 Speaker 1: unliked and unlikable and they hate themselves. But they're always ugly. 164 00:10:46,800 --> 00:10:50,240 Speaker 1: You can count on them. They're always just god awful ugly. 165 00:10:50,240 --> 00:10:54,840 Speaker 1: They're kind of ugly. You can't fix, just ugly, heinous. 166 00:10:56,240 --> 00:10:59,640 Speaker 1: And that's why people like that are they try to 167 00:10:59,679 --> 00:11:02,040 Speaker 1: change the rules. You can't call somebody ugly. You can't 168 00:11:02,040 --> 00:11:05,880 Speaker 1: call somebody this or that because they've been called that. See, 169 00:11:05,880 --> 00:11:08,040 Speaker 1: if they could just stop having if they could just 170 00:11:08,120 --> 00:11:11,800 Speaker 1: keep everybody but them from having opinions, then nobody will 171 00:11:11,840 --> 00:11:14,240 Speaker 1: continue to have an opinion that they're ugly because they 172 00:11:14,240 --> 00:11:21,120 Speaker 1: are inside and out they're ugly, miserable creatures. And whether 173 00:11:21,200 --> 00:11:24,080 Speaker 1: they're eating the dog food or wearing the mask in 174 00:11:24,120 --> 00:11:27,480 Speaker 1: the car or whatever else, what you're dealing with are 175 00:11:27,559 --> 00:11:32,120 Speaker 1: people who are an absolute wreck of a human being. 176 00:11:33,200 --> 00:11:37,199 Speaker 1: So they may have more money, more power, more everything, education, 177 00:11:37,440 --> 00:11:40,640 Speaker 1: that's a big one for them than you, but they 178 00:11:40,679 --> 00:11:45,840 Speaker 1: will never be happy, They will never find purpose, they 179 00:11:45,840 --> 00:11:49,439 Speaker 1: will never find contentment, they will never find a point 180 00:11:49,520 --> 00:11:53,040 Speaker 1: of accomplishment, a sense of satisfaction, and that's what they're 181 00:11:53,120 --> 00:11:58,320 Speaker 1: yearning for. They're called awfuls. You may have heard this 182 00:11:58,440 --> 00:12:02,280 Speaker 1: term in the political world. It's a real term in 183 00:12:03,120 --> 00:12:07,559 Speaker 1: the political world for people who strategize about campaigns, and 184 00:12:07,800 --> 00:12:17,880 Speaker 1: awful is a is an affluent white female, urban liberal. 185 00:12:19,480 --> 00:12:26,439 Speaker 1: Affluent white female, urban liberal liberal. So this is your 186 00:12:26,880 --> 00:12:33,480 Speaker 1: Hillary Clinton. Now these this is the right now, this 187 00:12:33,559 --> 00:12:37,160 Speaker 1: is where Kamala is still polling the best because it's 188 00:12:37,200 --> 00:12:39,920 Speaker 1: a bunch of bitches just like her, a bunch of 189 00:12:40,000 --> 00:12:48,640 Speaker 1: scratchy kloi. And the problem with Kamala is every man 190 00:12:48,920 --> 00:12:53,400 Speaker 1: has had to deal with a Kamala before. Every man 191 00:12:53,600 --> 00:12:57,400 Speaker 1: has had to deal with someone like her, a woman 192 00:12:57,440 --> 00:12:59,640 Speaker 1: who was put in charge who should not have been. 193 00:13:00,240 --> 00:13:03,679 Speaker 1: And the problem is women are so insecure that they 194 00:13:03,720 --> 00:13:06,160 Speaker 1: all go, oh, you just don't like women. I love women, 195 00:13:06,840 --> 00:13:11,440 Speaker 1: competent women. What I don't like are women who are 196 00:13:11,440 --> 00:13:14,000 Speaker 1: put into a position like that, who have no business 197 00:13:14,000 --> 00:13:17,560 Speaker 1: being there. And you know what, you shouldn't either. Your 198 00:13:17,600 --> 00:13:21,040 Speaker 1: problem is you're in the sisterhood of flying Pants and 199 00:13:21,120 --> 00:13:23,640 Speaker 1: you think you all have to stick together Kamala is 200 00:13:23,720 --> 00:13:27,600 Speaker 1: terrible for you put a bad woman in a position 201 00:13:27,679 --> 00:13:31,600 Speaker 1: because she's a woman, and then nobody will want that again. 202 00:13:33,200 --> 00:13:35,240 Speaker 1: You want the best of the best. If there's going 203 00:13:35,320 --> 00:13:38,679 Speaker 1: to be a woman, you want them to be better, 204 00:13:39,559 --> 00:13:43,760 Speaker 1: not worse. You don't support that because somehow that's gonna 205 00:13:44,440 --> 00:13:51,880 Speaker 1: be to your advantage. Wrong. But anyway, every man out there, 206 00:13:52,520 --> 00:13:56,480 Speaker 1: every competent man out there, has dealt with this type 207 00:13:57,800 --> 00:14:02,840 Speaker 1: because who are the awfuls thing about them? They don't 208 00:14:02,880 --> 00:14:09,600 Speaker 1: stay at home. They weasele themselves into positions of authority. 209 00:14:10,120 --> 00:14:14,640 Speaker 1: They tend to be very career minded, and they seek 210 00:14:14,720 --> 00:14:22,520 Speaker 1: out positions of authority power so that they can wield 211 00:14:22,960 --> 00:14:28,280 Speaker 1: that power. That's why they end up as school administrators, 212 00:14:28,560 --> 00:14:32,840 Speaker 1: assistant principles and principles and that's a very very common 213 00:14:32,880 --> 00:14:38,840 Speaker 1: position for them. Government positions, oh, they love the authority 214 00:14:38,840 --> 00:14:44,000 Speaker 1: of a government position. They'll get into law enforcement, but 215 00:14:44,120 --> 00:14:47,280 Speaker 1: not to be an officer. HPD is no different. You 216 00:14:47,320 --> 00:14:53,440 Speaker 1: will find the ranks of major city police departments full 217 00:14:53,840 --> 00:15:01,200 Speaker 1: of incompetent, mean, awfuls, angry white female urban liberals. Plenty 218 00:15:01,240 --> 00:15:03,080 Speaker 1: of them. You can spot them from them all away. 219 00:15:04,000 --> 00:15:07,120 Speaker 1: Ask any cop you know that that that trusts you 220 00:15:07,680 --> 00:15:10,720 Speaker 1: for you to tell the truth. I can name five 221 00:15:10,760 --> 00:15:14,240 Speaker 1: of them right now over the last twenty years that 222 00:15:14,360 --> 00:15:16,880 Speaker 1: these are These are anice porker kind of kind of 223 00:15:16,880 --> 00:15:21,880 Speaker 1: people that they're You're going to find these very angry 224 00:15:23,560 --> 00:15:28,360 Speaker 1: white women, very proud of their education. Some of them 225 00:15:28,360 --> 00:15:32,640 Speaker 1: went to Smith that's a common common one. Someone went 226 00:15:32,680 --> 00:15:36,160 Speaker 1: to Wellesley. They a lot of them went to women's colleges. 227 00:15:37,200 --> 00:15:42,640 Speaker 1: But they're they're not dumb per se. They have so 228 00:15:42,920 --> 00:15:47,640 Speaker 1: no self awareness. They're very angry. They thought they were 229 00:15:47,720 --> 00:15:51,320 Speaker 1: going to be the first woman president. They thought that 230 00:15:51,400 --> 00:15:54,800 Speaker 1: they were going to every feeling of insecurity they ever had. 231 00:15:55,880 --> 00:16:00,120 Speaker 1: They thought that when they achieved this or that, that 232 00:16:00,360 --> 00:16:04,680 Speaker 1: everyone would then look at them and say, wow, you're 233 00:16:04,720 --> 00:16:08,960 Speaker 1: the greatest ever. When that didn't happen, they became very angry, 234 00:16:10,480 --> 00:16:14,320 Speaker 1: and they've motivated themselves with the notion that everyone is 235 00:16:14,360 --> 00:16:16,560 Speaker 1: out to get them and no one respects them. And 236 00:16:17,640 --> 00:16:22,280 Speaker 1: these women who they're never happily married. They may be 237 00:16:22,480 --> 00:16:25,240 Speaker 1: married to some little mouse, you know, some guy who 238 00:16:25,280 --> 00:16:28,560 Speaker 1: films them having sex with another dude. They may be 239 00:16:28,760 --> 00:16:31,360 Speaker 1: married to that guy because somebody has to carry their purse. 240 00:16:32,040 --> 00:16:38,720 Speaker 1: But mostly they're divorced and mostly their wine. They're winos 241 00:16:38,760 --> 00:16:43,240 Speaker 1: and they're very bitter, and they live in urban environments 242 00:16:43,680 --> 00:16:48,400 Speaker 1: and they take positions of authority and power and then 243 00:16:48,440 --> 00:16:51,320 Speaker 1: they wield it and boy or they ever mean, woo, 244 00:16:52,720 --> 00:16:55,600 Speaker 1: boy or they ever mean. This is the principal who 245 00:16:55,600 --> 00:16:57,480 Speaker 1: when you go up to the school because they've wronged 246 00:16:57,520 --> 00:17:01,720 Speaker 1: your kid, God help you, because she's bitter all the time. 247 00:17:02,320 --> 00:17:05,280 Speaker 1: You're mad because something bad has happened. She's mad because 248 00:17:05,280 --> 00:17:09,879 Speaker 1: it's Tuesday. Like, she's mad all the time. This is 249 00:17:09,960 --> 00:17:14,080 Speaker 1: the group that is the biggest impediment right now. They've 250 00:17:14,119 --> 00:17:18,240 Speaker 1: lost black males. They have Kamala has turned black males 251 00:17:18,720 --> 00:17:22,440 Speaker 1: potentially a generation of black males against the Democrat Party, 252 00:17:23,160 --> 00:17:26,919 Speaker 1: and she's lost more black females than they expected. But 253 00:17:27,040 --> 00:17:32,200 Speaker 1: black males, they're in free fall right now. It is shocking. 254 00:17:33,320 --> 00:17:38,840 Speaker 1: White males, white males are going to go for Trump 255 00:17:39,359 --> 00:17:42,240 Speaker 1: in a bigger number than they've gone Republican in a 256 00:17:42,600 --> 00:17:46,000 Speaker 1: very very long time. Every single demographic. For the first 257 00:17:46,000 --> 00:17:50,560 Speaker 1: time this season, first time in years, Trump is leading 258 00:17:50,600 --> 00:17:54,560 Speaker 1: with white women. But that is married white women, suburban women, 259 00:17:54,720 --> 00:17:58,040 Speaker 1: rural women, the awfuls, they're still the holdouts. Ooh, they're bitter. 260 00:18:00,560 --> 00:18:02,280 Speaker 5: Everybody needs to be woke. 261 00:18:04,680 --> 00:18:04,960 Speaker 1: Married. 262 00:18:05,119 --> 00:18:10,600 Speaker 5: I just say more woke than less woke. So never. 263 00:18:12,760 --> 00:18:14,800 Speaker 2: Never looks sorry. 264 00:18:18,920 --> 00:18:25,639 Speaker 1: Just a moment of praise for Rodney Crowell. He just 265 00:18:25,720 --> 00:18:27,400 Speaker 1: turned seventy four years old. 266 00:18:27,800 --> 00:18:28,040 Speaker 5: You know. 267 00:18:31,480 --> 00:18:35,760 Speaker 1: Who happened to written the Houston Kid as he was 268 00:18:36,440 --> 00:18:42,280 Speaker 1: as he is known. I was just looking at some 269 00:18:42,440 --> 00:18:46,119 Speaker 1: more data coming in. I get to that in a moment. 270 00:18:46,160 --> 00:18:52,800 Speaker 1: But you think about this, Donald Trump, five kids from 271 00:18:52,800 --> 00:19:00,240 Speaker 1: three different women, thirty four time convicted felon, He's been 272 00:19:00,280 --> 00:19:04,120 Speaker 1: shot in the head, and yesterday he was a friar 273 00:19:04,119 --> 00:19:07,199 Speaker 1: cook at McDonald's. You'd have to be a racist not 274 00:19:07,240 --> 00:19:13,199 Speaker 1: to vote for him. Seriously, So let me see if 275 00:19:13,200 --> 00:19:18,720 Speaker 1: I can find this data point what. No, Rodney crow 276 00:19:18,840 --> 00:19:21,480 Speaker 1: hasn't done anything nearly that interesting. I mean, you think 277 00:19:21,520 --> 00:19:25,480 Speaker 1: he has an interesting life, all right. So early voting 278 00:19:25,600 --> 00:19:29,920 Speaker 1: data from the key swing states Georgia, North Carolina, Michigan, Pennsylvania, 279 00:19:29,920 --> 00:19:36,240 Speaker 1: and Wisconsin a ten point swing toward Republicans since this 280 00:19:36,359 --> 00:19:44,359 Speaker 1: point in twenty twenty twenty twenty four vote totals ten 281 00:19:44,800 --> 00:19:50,800 Speaker 1: point swing since four years ago. Trump is so popular 282 00:19:51,280 --> 00:19:56,520 Speaker 1: in the swing states that the Pennsylvania Senator Casey the 283 00:19:56,600 --> 00:20:04,359 Speaker 1: Democrat is running ads hugging Trump, talking about supporting Trump. 284 00:20:06,119 --> 00:20:13,080 Speaker 1: Tammy Baldwin, Democrat senator in Wisconsin doing the same, Sharad Brown, 285 00:20:15,400 --> 00:20:20,480 Speaker 1: junior senator from a Democrat senator not junior senator, Democrat 286 00:20:20,520 --> 00:20:26,760 Speaker 1: senator from Ohio, talking about how well he works with 287 00:20:27,760 --> 00:20:34,520 Speaker 1: Donald Trump. They asked Casey, the Democrat senator in Pennsylvania, 288 00:20:34,840 --> 00:20:39,439 Speaker 1: why won't you appear on the campaign trail with the 289 00:20:39,480 --> 00:20:45,080 Speaker 1: presidential candidate of your party? And he said, because I'm 290 00:20:45,119 --> 00:20:51,199 Speaker 1: trying to win. The Democrat senator in Pennsylvania will not 291 00:20:51,359 --> 00:20:58,560 Speaker 1: be seen with Kamala Harris. The oddsmakers put her chances 292 00:20:58,600 --> 00:21:04,040 Speaker 1: of winning the presidency if she loses Pennsylvania at seven 293 00:21:04,080 --> 00:21:08,040 Speaker 1: percentage points. She has to have more than Pennsylvania, but 294 00:21:08,119 --> 00:21:13,200 Speaker 1: she has to have Pennsylvania, and the senator there will 295 00:21:13,240 --> 00:21:21,119 Speaker 1: not campaign with her. Trump's Saturday, Sorry, Trump's Sunday, her birthday, 296 00:21:22,040 --> 00:21:25,320 Speaker 1: consisted of him showing up at a McDonald's. Did have 297 00:21:25,359 --> 00:21:31,159 Speaker 1: you seen the crowd in Latrobe, Pennsylvania. I don't know 298 00:21:31,240 --> 00:21:35,119 Speaker 1: how many thousand people it is. It's insane. He did 299 00:21:35,200 --> 00:21:37,960 Speaker 1: a radio interview, he did a rally, and then he 300 00:21:38,040 --> 00:21:41,120 Speaker 1: shows up to the Pittsburgh Steelers game. They wouldn't put 301 00:21:41,200 --> 00:21:44,639 Speaker 1: him on the jumbo tron on the screen. There's an 302 00:21:44,680 --> 00:21:49,119 Speaker 1: average of seven times per game that national Television puts 303 00:21:49,119 --> 00:21:52,280 Speaker 1: Taylor Swift on national TV. And she's out there for 304 00:21:52,320 --> 00:21:57,600 Speaker 1: Kamala every time every Chiefs game. But it didn't matter 305 00:21:57,800 --> 00:22:01,280 Speaker 1: because people filmed it. Because it didn't make TV. They 306 00:22:01,880 --> 00:22:05,040 Speaker 1: went extra. That's why I'm telling you about it. And 307 00:22:05,080 --> 00:22:10,280 Speaker 1: they chanted USA. They there was a rollicking applause to 308 00:22:10,320 --> 00:22:13,520 Speaker 1: him being there. And oh, by the way, while he 309 00:22:13,600 --> 00:22:15,920 Speaker 1: was serving French fries with pretty good form, I want 310 00:22:15,960 --> 00:22:20,000 Speaker 1: to say at the McDonald's, what was jd Vance doing? 311 00:22:21,760 --> 00:22:27,680 Speaker 1: He was serving beers to Packers fans. Jd Vance, the 312 00:22:27,760 --> 00:22:34,520 Speaker 1: vice presidential candidate, was serving beers to Packers fans, and 313 00:22:34,600 --> 00:22:37,640 Speaker 1: Tim Waltz said, I'd like to serve beers to packers. 314 00:22:40,119 --> 00:22:44,200 Speaker 1: Unrelated ramon unrelated. Oh, we got a computer glitch, computer glitch. 315 00:22:44,200 --> 00:22:46,600 Speaker 1: Here we go, got it. Okay, I'm gonna try to 316 00:22:46,640 --> 00:22:48,399 Speaker 1: get all these calls in in just a moment, so 317 00:22:48,440 --> 00:22:50,000 Speaker 1: let's be quick. We'll start with Joe. Joe, you're on 318 00:22:50,000 --> 00:22:52,960 Speaker 1: the Michael Berry Show. Go ahead, Hey. 319 00:22:52,840 --> 00:22:55,760 Speaker 6: Michael, thank you for taking my call. Listen. I wanted 320 00:22:55,760 --> 00:23:00,320 Speaker 6: to say real quick congratulationcy guys for your national syndication. Uh, 321 00:23:00,760 --> 00:23:02,840 Speaker 6: we'll probably do. I take you everywhere I go. I've 322 00:23:02,880 --> 00:23:07,080 Speaker 6: taken you to California, Russia. Uh, just different parts in 323 00:23:07,080 --> 00:23:10,400 Speaker 6: the United States that we traveled. But but I wanted 324 00:23:10,440 --> 00:23:12,080 Speaker 6: to call them today to let you know the reason 325 00:23:12,119 --> 00:23:16,520 Speaker 6: why people should vote. My grandmother was a staunch Republican, 326 00:23:17,040 --> 00:23:20,080 Speaker 6: a Christian and also a Patriot. And she is still 327 00:23:20,200 --> 00:23:23,600 Speaker 6: those values in me and that's probably one reason why 328 00:23:23,720 --> 00:23:27,200 Speaker 6: I vote more conservative than than the other other side. 329 00:23:27,440 --> 00:23:31,160 Speaker 6: But but I want ironically when she died, she died 330 00:23:31,200 --> 00:23:35,520 Speaker 6: on Trump's birthday. Uh, she died on Flag Day and 331 00:23:35,560 --> 00:23:38,679 Speaker 6: so that was a very you know, memorable moment for 332 00:23:38,840 --> 00:23:42,200 Speaker 6: me as a grandson of course, but uh, but also 333 00:23:42,440 --> 00:23:46,080 Speaker 6: as a as a as an American and uh, it 334 00:23:46,160 --> 00:23:52,520 Speaker 6: was incredible. What was her full name, Tommy Pauline f 335 00:23:53,440 --> 00:23:55,119 Speaker 6: And she was born in Waco, Texas. 336 00:23:55,200 --> 00:23:58,680 Speaker 1: How do you spell fee fee? 337 00:23:59,200 --> 00:24:02,080 Speaker 6: Just just like saying your parking fee, your library fee. 338 00:24:02,160 --> 00:24:06,320 Speaker 1: Well, God bless you, and you know, be grateful when 339 00:24:06,320 --> 00:24:12,200 Speaker 1: you miss her that you had something worth missing. That 340 00:24:12,440 --> 00:24:16,080 Speaker 1: is my message when people lose someone you know, every 341 00:24:16,160 --> 00:24:18,119 Speaker 1: year on Mother's Day and Father's Day, people call up 342 00:24:18,160 --> 00:24:20,560 Speaker 1: and tell the story about how wonderful their mother was 343 00:24:20,600 --> 00:24:22,880 Speaker 1: and how wonderful their father wasn't every year breaks my heart, 344 00:24:23,880 --> 00:24:26,840 Speaker 1: genuinely breaks my heart. And I'm pretty I'm pretty callous 345 00:24:26,880 --> 00:24:29,920 Speaker 1: after reading this many emails, this many years and people 346 00:24:29,960 --> 00:24:32,040 Speaker 1: will say, I'm glad that all those people had a 347 00:24:32,040 --> 00:24:36,960 Speaker 1: wonderful mother, wonderful father, But mine abandoned me, mine abused me, mine. 348 00:24:38,119 --> 00:24:40,560 Speaker 1: And I think to myself, Wow, this really puts it 349 00:24:40,600 --> 00:24:44,320 Speaker 1: into perspective. You know, this really puts into perspective how 350 00:24:44,400 --> 00:24:49,760 Speaker 1: lucky you are that when your brother, sister, mother, father, husband, wife, child, 351 00:24:50,240 --> 00:24:53,479 Speaker 1: when you lose somebody and you miss them because you 352 00:24:53,560 --> 00:24:57,160 Speaker 1: love them, then you had something that many people will 353 00:24:57,160 --> 00:25:00,199 Speaker 1: never have. And so instead of focusing on what you 354 00:25:00,280 --> 00:25:04,920 Speaker 1: no longer have, focus on what you were blessed to have, 355 00:25:05,600 --> 00:25:09,040 Speaker 1: because most will never have something so special. And that's 356 00:25:10,040 --> 00:25:14,639 Speaker 1: the truth, that's the reality. I am so excited reading 357 00:25:14,640 --> 00:25:19,120 Speaker 1: these emails from people. I wish people would. I wish 358 00:25:19,200 --> 00:25:21,600 Speaker 1: every one of you could see them. Somebody in Needville, 359 00:25:21,680 --> 00:25:26,760 Speaker 1: somebody apparently, and somebody in Woodville, somebody in Beaumont just 360 00:25:26,800 --> 00:25:30,960 Speaker 1: showing up casting their vote, being a part making history, 361 00:25:31,400 --> 00:25:35,280 Speaker 1: bringing change, providing a solution. Woman, just email me while 362 00:25:35,280 --> 00:25:38,000 Speaker 1: I'm talking. She took her mother and her daughter. It's 363 00:25:38,000 --> 00:25:41,480 Speaker 1: her daughter's first election to get to vote, and she's 364 00:25:41,480 --> 00:25:43,720 Speaker 1: so excited. This is We were in Austin this weekend 365 00:25:43,760 --> 00:25:46,800 Speaker 1: with Michael t This is his first presidential election. He's 366 00:25:46,880 --> 00:25:49,040 Speaker 1: voted in a city council race, but this is his 367 00:25:49,080 --> 00:25:51,679 Speaker 1: first presidential election to get to cast a vote, and 368 00:25:51,720 --> 00:25:56,119 Speaker 1: I am so excited. Get the people around you to 369 00:25:56,280 --> 00:25:58,879 Speaker 1: the polls. Drive them there. We got a lot of 370 00:25:58,960 --> 00:26:03,040 Speaker 1: elderly folks, a lot of folks in homes. Don't don't 371 00:26:03,119 --> 00:26:05,080 Speaker 1: let those homes do the voting for I've seen this 372 00:26:05,119 --> 00:26:08,399 Speaker 1: with my own eyes. They will cast a vote that 373 00:26:08,440 --> 00:26:11,560 Speaker 1: your mother or grandmother or grandfather would never have cast. 374 00:26:11,680 --> 00:26:18,280 Speaker 1: You take them yourself, and they remained scared to death 375 00:26:18,280 --> 00:26:21,119 Speaker 1: of Trump the Michael Berry Show. You're not going anywhere 376 00:26:21,760 --> 00:26:23,520 Speaker 1: even if Trump does, You're. 377 00:26:23,359 --> 00:26:27,240 Speaker 2: Not get them up to night. 378 00:26:28,160 --> 00:26:32,040 Speaker 1: Please vote early, Please vote all the way down the ballot. 379 00:26:32,680 --> 00:26:36,600 Speaker 1: For every single Republican, whether you recognize the name or not, 380 00:26:37,320 --> 00:26:40,919 Speaker 1: a Republican or a Democrat is going to win. You 381 00:26:41,000 --> 00:26:44,560 Speaker 1: do not want Democrats in those seats. That is just 382 00:26:44,640 --> 00:26:49,639 Speaker 1: the feeder system for the next colin all wrong. Kamala Harris, 383 00:26:50,800 --> 00:26:55,680 Speaker 1: Barack Obama, Nancy Pelosi. Those are just seats that they control. 384 00:26:56,359 --> 00:26:59,040 Speaker 1: You do not want somebody in that seat. All the 385 00:26:59,080 --> 00:27:02,840 Speaker 1: way down the ballot, I'm voting no on every single bond, 386 00:27:05,400 --> 00:27:08,640 Speaker 1: every single bond, I'm voting no on. And by the way, 387 00:27:09,200 --> 00:27:12,720 Speaker 1: if what you want to do is destroy the county 388 00:27:12,760 --> 00:27:15,520 Speaker 1: that you live in, one of the best ways you 389 00:27:15,600 --> 00:27:19,960 Speaker 1: can do it is to continue to saddle every piece 390 00:27:20,000 --> 00:27:23,679 Speaker 1: of property with yet another debt that's going to need 391 00:27:23,720 --> 00:27:27,040 Speaker 1: to be paid. Oh but the air conditions at the 392 00:27:27,080 --> 00:27:30,119 Speaker 1: school are not what they ought to be. The children 393 00:27:30,160 --> 00:27:34,000 Speaker 1: deserve better. The roofs are leaking. Yeah, I'm sure they 394 00:27:34,040 --> 00:27:38,320 Speaker 1: are because HISD has quandered the money. Why don't you 395 00:27:38,440 --> 00:27:42,160 Speaker 1: lay off some middle management and fix it. The taxpayers 396 00:27:42,160 --> 00:27:44,720 Speaker 1: didn't create the problem. It's not for the taxpayers to 397 00:27:44,720 --> 00:27:48,639 Speaker 1: solve it. Vote against every single bond. I don't care 398 00:27:48,680 --> 00:27:54,400 Speaker 1: where they are. People in local government do not understand 399 00:27:54,960 --> 00:28:00,639 Speaker 1: that taxpayers are tapped out. We're sick of it. Solve 400 00:28:00,720 --> 00:28:04,720 Speaker 1: the problem yourself. You don't get to when you can't 401 00:28:04,760 --> 00:28:07,520 Speaker 1: pay your house note and car note and you took 402 00:28:07,560 --> 00:28:10,439 Speaker 1: too many vacations. You don't get to go take a 403 00:28:10,560 --> 00:28:13,920 Speaker 1: gofund me around the neighborhood so you can continue this 404 00:28:14,040 --> 00:28:19,200 Speaker 1: bad habit. Bad behaviors have to be punished. They cannot 405 00:28:19,240 --> 00:28:24,320 Speaker 1: be rewarded. When you approve these bonds, you are rewarding 406 00:28:24,560 --> 00:28:29,520 Speaker 1: bad behaviors. Period. End of story. All right to the 407 00:28:29,560 --> 00:28:32,520 Speaker 1: phone lines we go. I do want to welcome three 408 00:28:33,160 --> 00:28:37,560 Speaker 1: new show sponsors to the show, in three categories that 409 00:28:37,640 --> 00:28:42,120 Speaker 1: we went out and determined we based on need, based 410 00:28:42,160 --> 00:28:46,920 Speaker 1: on emails. We get. One of them for heavy equipment 411 00:28:47,760 --> 00:28:50,600 Speaker 1: is a fellow named Angus Davis. His company is called 412 00:28:50,640 --> 00:28:54,320 Speaker 1: Texas State Reynolds. And what I really like is that 413 00:28:54,360 --> 00:28:58,080 Speaker 1: they are in Tomball and Orange. Now that's God's country 414 00:28:58,160 --> 00:29:00,360 Speaker 1: right there. If you're in Tomball and Orange, they're also 415 00:29:00,400 --> 00:29:04,120 Speaker 1: in CENTI tone if you ever want to be connected 416 00:29:04,160 --> 00:29:06,440 Speaker 1: to any of my show sponsors, I probably get twenty 417 00:29:06,480 --> 00:29:11,160 Speaker 1: emails a day needing foundation or hair replacement or eye 418 00:29:11,200 --> 00:29:15,719 Speaker 1: surgery or something, and I forward those on directly, and 419 00:29:15,800 --> 00:29:17,520 Speaker 1: I love to do that. You're going to get the 420 00:29:17,560 --> 00:29:23,040 Speaker 1: best possible service imaginable. So one of them is heavy equipment, 421 00:29:23,200 --> 00:29:26,840 Speaker 1: and I'm going out to tour them shortly. But Apparently 422 00:29:26,880 --> 00:29:29,360 Speaker 1: the big brand that they have that everybody wants is 423 00:29:29,400 --> 00:29:31,520 Speaker 1: called Sanny. Do you know what Sanny? Have you ever 424 00:29:31,520 --> 00:29:33,200 Speaker 1: heard of that room? I didn't either. I'm about to 425 00:29:33,640 --> 00:29:35,640 Speaker 1: I'm gonna get on some of that equipment and I'm 426 00:29:35,640 --> 00:29:38,600 Speaker 1: gonna create an awkward moment because I'm going to insist 427 00:29:38,680 --> 00:29:40,920 Speaker 1: that I get to drive it, and I'm going to 428 00:29:41,000 --> 00:29:43,520 Speaker 1: get on there and I'm going to start cutting up 429 00:29:43,800 --> 00:29:45,840 Speaker 1: to the point where they go from Man, we don't 430 00:29:45,840 --> 00:29:48,720 Speaker 1: want to freak out because you know, that'd be weird 431 00:29:48,760 --> 00:29:51,000 Speaker 1: and he'll think we're weirdos. But we also don't want 432 00:29:51,040 --> 00:29:53,080 Speaker 1: him to smash something either. You've got to create that 433 00:29:53,240 --> 00:30:00,600 Speaker 1: level of discomfort. Texas State rentalds Angus Davis. We were getting 434 00:30:00,640 --> 00:30:04,120 Speaker 1: a lot of emails from folks that the national insurance 435 00:30:04,600 --> 00:30:08,280 Speaker 1: carriers were not covering things that they had paid their 436 00:30:08,280 --> 00:30:11,840 Speaker 1: premiums for. So I didn't want some nut job. We 437 00:30:11,920 --> 00:30:13,840 Speaker 1: wanted to get somebody that's good at what they do. 438 00:30:14,400 --> 00:30:18,000 Speaker 1: And there's a guy that the firm is called Chad T. Wilson. 439 00:30:18,240 --> 00:30:21,880 Speaker 1: Hard to remember. The website is Claimdenied dot com. But 440 00:30:21,920 --> 00:30:24,560 Speaker 1: if you email me, I'll put you in with the 441 00:30:24,600 --> 00:30:27,640 Speaker 1: guy who is in charge of the firm. So if 442 00:30:27,680 --> 00:30:30,840 Speaker 1: you have an insurance claim from a national insurance carrier 443 00:30:30,880 --> 00:30:36,720 Speaker 1: for smoke, water, wind storm, hurricane that you believe the 444 00:30:36,720 --> 00:30:39,600 Speaker 1: insurance company should have should have covered, and you've played 445 00:30:39,640 --> 00:30:42,760 Speaker 1: your paid your premiums, that's what they do all day, 446 00:30:43,200 --> 00:30:44,840 Speaker 1: is they start with the letter and if they have to, 447 00:30:44,920 --> 00:30:46,360 Speaker 1: it goes all the way to a lawsuit to get 448 00:30:46,400 --> 00:30:49,520 Speaker 1: you paid and made whole for what you what you 449 00:30:49,520 --> 00:30:52,600 Speaker 1: you didn't pay those premiums for your health. And finally 450 00:30:53,640 --> 00:30:55,280 Speaker 1: we added them a little while back. But I don't 451 00:30:55,320 --> 00:30:58,200 Speaker 1: think I ever officially welcomed them. Is I have been 452 00:30:58,240 --> 00:31:03,800 Speaker 1: wanting a mental health professional because I think, as jd. 453 00:31:03,960 --> 00:31:06,720 Speaker 1: Vance said, we don't have a gun problem in this country, 454 00:31:06,720 --> 00:31:09,600 Speaker 1: we have a mental health problem in this country. And 455 00:31:10,760 --> 00:31:14,040 Speaker 1: so we reached out. We had several referrals to Family 456 00:31:14,080 --> 00:31:17,520 Speaker 1: Psychiatry of the Woodlands and had them on to talk 457 00:31:17,560 --> 00:31:21,760 Speaker 1: about some of the mental health issues that we're seeing 458 00:31:21,760 --> 00:31:26,240 Speaker 1: in society today. They liked what the show brought the 459 00:31:26,280 --> 00:31:28,680 Speaker 1: folks that came in. They do a lot of clinical trials, 460 00:31:29,040 --> 00:31:33,800 Speaker 1: so they're wanting from both teenagers and adult even if 461 00:31:33,840 --> 00:31:36,240 Speaker 1: you don't qualify, even if you couldn't afford to be 462 00:31:36,320 --> 00:31:39,719 Speaker 1: a patient at Family Psychiatry of the Woodlands. A lot 463 00:31:39,760 --> 00:31:43,400 Speaker 1: of people qualify for their clinical trials in different forms 464 00:31:43,400 --> 00:31:46,320 Speaker 1: of treatment and how that works out. So anyway, we 465 00:31:46,360 --> 00:31:48,640 Speaker 1: are happy to welcome the three of those. Let's go 466 00:31:48,920 --> 00:31:52,000 Speaker 1: to Beverly too. We'll go to Anna Catherine Roseen, and 467 00:31:52,040 --> 00:31:54,000 Speaker 1: we'll close with Beverly because she's a sweet little lady. 468 00:31:54,040 --> 00:31:55,120 Speaker 1: Anna Catherine, go ahead. 469 00:31:57,240 --> 00:32:02,360 Speaker 4: Good morning, Michael, first time caller, and I just wanted 470 00:32:02,520 --> 00:32:06,040 Speaker 4: I know we all know the logical case to vote 471 00:32:06,080 --> 00:32:10,480 Speaker 4: for Trump, but I have been overwhelmed just in the 472 00:32:10,520 --> 00:32:16,040 Speaker 4: last few weeks with such an affection or toward in 473 00:32:16,080 --> 00:32:20,800 Speaker 4: an endearment for Trump, and I just I can't really 474 00:32:20,840 --> 00:32:24,080 Speaker 4: describe it, but for me this year, it is just 475 00:32:24,120 --> 00:32:28,600 Speaker 4: as emotional as it is logical. And I just don't 476 00:32:28,600 --> 00:32:31,959 Speaker 4: think forever or it will be a long time before 477 00:32:32,040 --> 00:32:34,880 Speaker 4: we have someone else like him. Obviously, he is up 478 00:32:34,880 --> 00:32:38,360 Speaker 4: in age, so I'm just praying that he makes it 479 00:32:38,400 --> 00:32:41,160 Speaker 4: to inauguration and then he makes it through his term. 480 00:32:41,560 --> 00:32:43,440 Speaker 4: But I don't know, I'm shaking as I tell you this. 481 00:32:43,600 --> 00:32:49,480 Speaker 4: It's just I'm just so overwhelmed with just his plight 482 00:32:49,840 --> 00:32:53,560 Speaker 4: and decision to do this instead of live out his 483 00:32:53,680 --> 00:32:56,920 Speaker 4: last year's you know, just in not sure. 484 00:32:58,560 --> 00:33:03,280 Speaker 1: I think we all recognize, Anna Catherine, that a special 485 00:33:03,320 --> 00:33:06,240 Speaker 1: moment is happening right now, not just for Donald Trump, 486 00:33:07,240 --> 00:33:10,680 Speaker 1: just with our relationship, in our relationship with him, but 487 00:33:10,760 --> 00:33:13,280 Speaker 1: in our relationship with our country, in our relationship with 488 00:33:13,280 --> 00:33:16,760 Speaker 1: our fellow patriots, in our relationship with people who share 489 00:33:16,800 --> 00:33:20,080 Speaker 1: our values. I think we all see that something special 490 00:33:20,200 --> 00:33:24,800 Speaker 1: is happening right now. Go out and vote today, folks. 491 00:33:25,160 --> 00:33:27,400 Speaker 1: Poles are open in Texas till seven pm.