1 00:00:00,040 --> 00:00:04,480 Speaker 1: Welcome, Welcome. It's a special day, right, Yes, it's the 2 00:00:04,880 --> 00:00:10,800 Speaker 1: day before election day, and day before we screw everything 3 00:00:10,880 --> 00:00:15,000 Speaker 1: up all over again. And and I had a really 4 00:00:15,040 --> 00:00:19,560 Speaker 1: good lunch today. Hmmm, they're stalling, and let me see 5 00:00:19,560 --> 00:00:23,680 Speaker 1: what else. You know what five o'clock brings you love 6 00:00:23,760 --> 00:00:30,440 Speaker 1: and live for it? Our of candidates? Very good. Look, 7 00:00:30,600 --> 00:00:32,280 Speaker 1: it's kind of an hour off. You just have to 8 00:00:32,320 --> 00:00:36,440 Speaker 1: sit there and listen and introduced each person. It's I 9 00:00:36,800 --> 00:00:38,960 Speaker 1: that's maybe you don't have to listen if you don't 10 00:00:38,960 --> 00:00:43,840 Speaker 1: want to. Surrendering control to other people is not something 11 00:00:43,880 --> 00:00:46,800 Speaker 1: I enjoy, and we don't do it much. Why don't 12 00:00:46,800 --> 00:00:52,239 Speaker 1: you take any calls anymore? What happened? I think we 13 00:00:52,280 --> 00:00:57,160 Speaker 1: know collectively what happened. We prove that every Friday. That's correct. 14 00:00:57,160 --> 00:01:00,680 Speaker 1: The moist slide is a good indication of what's generally 15 00:01:00,680 --> 00:01:04,240 Speaker 1: out there. These are moistline callers with their names on 16 00:01:04,319 --> 00:01:08,720 Speaker 1: real ballots, running in real races. We think, so, yeah, 17 00:01:08,760 --> 00:01:10,280 Speaker 1: that's what they tell us when they call. I don't 18 00:01:10,480 --> 00:01:13,800 Speaker 1: we can't. Does Ray do any screening and verification of 19 00:01:13,920 --> 00:01:17,600 Speaker 1: somebody who's Ray does verification? Sure? I'm Hitler and I'm 20 00:01:17,680 --> 00:01:20,160 Speaker 1: running for city council. And mission v A hall. Can 21 00:01:20,200 --> 00:01:23,000 Speaker 1: I get on? Yeah, we have some of that now, 22 00:01:23,120 --> 00:01:26,399 Speaker 1: so that'll be five or five. Here's the phone number, 23 00:01:26,440 --> 00:01:28,800 Speaker 1: but don't call until five o'clock. I don't know when 24 00:01:28,840 --> 00:01:31,480 Speaker 1: they'll open the lines, but it is first come, first 25 00:01:31,480 --> 00:01:34,560 Speaker 1: serve one, eight hundred and five to zero one, five, 26 00:01:34,720 --> 00:01:37,880 Speaker 1: three four. If we stopped getting calls and we move 27 00:01:37,880 --> 00:01:39,840 Speaker 1: on to something else, I mean, that could happen. I 28 00:01:39,840 --> 00:01:42,360 Speaker 1: don't think it's never happened, but that could happen. If 29 00:01:42,400 --> 00:01:46,000 Speaker 1: you know somebody that's running, call them up, text them whatever, 30 00:01:46,080 --> 00:01:48,760 Speaker 1: Tweet them, tell them to call the show for the 31 00:01:48,760 --> 00:01:52,160 Speaker 1: hour of candidates. Thirty seconds is all you get, and 32 00:01:52,160 --> 00:01:54,760 Speaker 1: then we fold up shop on you. The floor drops 33 00:01:54,800 --> 00:01:58,960 Speaker 1: and you fall right through. You know, I figured something 34 00:01:58,960 --> 00:02:01,400 Speaker 1: out over the weekend. Gont the stories that came out, 35 00:02:02,240 --> 00:02:06,200 Speaker 1: the you know, the turn back the clocks thing, it's 36 00:02:06,280 --> 00:02:11,520 Speaker 1: not see now, big distinction here before you've grown when 37 00:02:11,560 --> 00:02:14,560 Speaker 1: you turned forward the clocks, right, that's got people going 38 00:02:14,560 --> 00:02:18,760 Speaker 1: to the emergency room. Apparently when we turned back the clocks. Uh. Oh, 39 00:02:18,800 --> 00:02:25,000 Speaker 1: it's mental health. And you're actually proof of this. You 40 00:02:25,080 --> 00:02:29,640 Speaker 1: are first year we worked together. Yeah, the winter came 41 00:02:29,680 --> 00:02:32,560 Speaker 1: and this is an east coast winter, and you used 42 00:02:32,560 --> 00:02:34,079 Speaker 1: to come to work because we were doing a show 43 00:02:34,160 --> 00:02:37,120 Speaker 1: that started with what six in the morning. Yeah, and 44 00:02:37,240 --> 00:02:40,520 Speaker 1: there was one period, I think it was February, I 45 00:02:40,520 --> 00:02:42,880 Speaker 1: don't remember, Yes, it was. You just kind of laid there, 46 00:02:43,639 --> 00:02:46,480 Speaker 1: you just kind of you could barely speak, and you 47 00:02:46,600 --> 00:02:49,360 Speaker 1: finally announced it. You had like winter depression or whatever, 48 00:02:49,400 --> 00:02:54,480 Speaker 1: seasonal seasonal effective disorder also known as SAD. That that's 49 00:02:54,480 --> 00:02:56,640 Speaker 1: a long time ago that already had a name. I 50 00:02:56,720 --> 00:03:00,800 Speaker 1: was sad. I thought all these disorders were like two thousands. 51 00:03:00,919 --> 00:03:02,960 Speaker 1: Oh no, no, this stuff would have been around for 52 00:03:03,040 --> 00:03:06,720 Speaker 1: the snowflakes. No, the hippie generation started this stuff. Everybody 53 00:03:06,720 --> 00:03:08,800 Speaker 1: wants a disorder that thin feels, so you can feel 54 00:03:08,800 --> 00:03:11,000 Speaker 1: sorry for me. I have a disorder. I have a disorder. 55 00:03:11,080 --> 00:03:13,959 Speaker 1: Please don't speak to me. Let me just hit deb remark. 56 00:03:14,040 --> 00:03:17,000 Speaker 1: He was like, really just sullen. Oh my goodness. Well, 57 00:03:17,320 --> 00:03:19,040 Speaker 1: and then one day he admitted it on the air. 58 00:03:19,080 --> 00:03:23,680 Speaker 1: I said, I'm I'm selling every day, but quiet sullen. Yes, 59 00:03:23,760 --> 00:03:25,720 Speaker 1: this is loud and angry most of it. And you 60 00:03:25,760 --> 00:03:29,080 Speaker 1: were sad. I don't think you sad. He admitted he 61 00:03:29,120 --> 00:03:31,200 Speaker 1: was kind of depressed, and he thinks some of it 62 00:03:31,240 --> 00:03:33,440 Speaker 1: had to do with the short days. And I used 63 00:03:33,440 --> 00:03:36,240 Speaker 1: to get that in February every year, going back to 64 00:03:36,440 --> 00:03:38,920 Speaker 1: high school. Yeah, so I had the right month. I 65 00:03:38,960 --> 00:03:41,000 Speaker 1: thought it was like February it always was. It was 66 00:03:41,040 --> 00:03:45,760 Speaker 1: after about you know, the third month of continuous clouds. Yeah. 67 00:03:46,040 --> 00:03:47,920 Speaker 1: So it's even mentioned in disorder. Some people call it 68 00:03:47,960 --> 00:03:51,160 Speaker 1: winter blues, but it is called seasonal affective disorder. See 69 00:03:51,160 --> 00:03:55,200 Speaker 1: ever since I moved to California, not once, that's true. 70 00:03:55,200 --> 00:03:57,280 Speaker 1: We don't have to see that's right. No, I've not 71 00:03:57,280 --> 00:03:59,800 Speaker 1: noticed it since we've been here. No, because because there's sun. 72 00:04:00,680 --> 00:04:04,960 Speaker 1: Sunshine makes my my damaged brain very happy. Yeah, and 73 00:04:05,000 --> 00:04:09,360 Speaker 1: sometimes we have fires. Clouds make my brain sad. Yes, 74 00:04:10,120 --> 00:04:13,000 Speaker 1: that's that's a good point. This is what happens to 75 00:04:13,080 --> 00:04:15,080 Speaker 1: people that live on the East Coast. And whenever people 76 00:04:15,160 --> 00:04:19,839 Speaker 1: ask me, don't you miss the change of seasons? No, danswers. No. 77 00:04:20,560 --> 00:04:22,120 Speaker 1: Don't you want to come back and live in New 78 00:04:22,240 --> 00:04:26,640 Speaker 1: York where you grew up? No again, no, but thank 79 00:04:26,680 --> 00:04:30,279 Speaker 1: you for asking. I don't want to be sad, and 80 00:04:30,920 --> 00:04:34,200 Speaker 1: is called sad season? Little effective decide. I've looked at 81 00:04:34,279 --> 00:04:39,880 Speaker 1: this up. It really is a chemical reaction inside your body. 82 00:04:40,440 --> 00:04:42,559 Speaker 1: You want. Another thing is when I when I learned 83 00:04:42,560 --> 00:04:45,880 Speaker 1: that most moods are caused by your own internal chemicals, 84 00:04:46,480 --> 00:04:49,000 Speaker 1: then suddenly they didn't have a power over me anymore. 85 00:04:49,120 --> 00:04:51,520 Speaker 1: I knew exactly what was happening. So you can control 86 00:04:51,560 --> 00:04:57,120 Speaker 1: your own chemicals. Yes, you can, well, because yeah, because 87 00:04:57,240 --> 00:04:59,880 Speaker 1: you you can actually will yourself into a good mood. 88 00:05:00,200 --> 00:05:03,920 Speaker 1: You can will yourself into ignoring these these outside forces 89 00:05:04,279 --> 00:05:08,200 Speaker 1: that are that are playing with your with your mood swings. No, 90 00:05:08,960 --> 00:05:12,320 Speaker 1: all right, and what do you do to have a bagel? No? 91 00:05:12,520 --> 00:05:14,640 Speaker 1: You just you just it's it's like a it's like 92 00:05:14,680 --> 00:05:17,200 Speaker 1: an optimistic Oh, you'll just sit there on your shower 93 00:05:17,279 --> 00:05:22,000 Speaker 1: bench and just go, I'm gonna If you have optimistic 94 00:05:22,040 --> 00:05:24,760 Speaker 1: positive thoughts, you do things that make you happy, you 95 00:05:24,800 --> 00:05:27,480 Speaker 1: play music that makes you happy. It always goes away. 96 00:05:27,600 --> 00:05:32,000 Speaker 1: Can this sounds like he's really into a new age? Oh? Yes, No, 97 00:05:32,120 --> 00:05:34,280 Speaker 1: I was running around waving stage in the air this morning. 98 00:05:34,320 --> 00:05:40,680 Speaker 1: You were, Yeah, were you manifesting? I'm sorry that sounds 99 00:05:40,680 --> 00:05:43,120 Speaker 1: like you're manifesting. I'm not familiar with that time. Did 100 00:05:43,160 --> 00:05:47,080 Speaker 1: you visualize? I manifested and visualized and then I cleaned 101 00:05:47,160 --> 00:05:50,279 Speaker 1: up afterwards. You say you're supposed to brighten the mood, 102 00:05:50,360 --> 00:05:52,280 Speaker 1: or just it sends away dark spirits or something does 103 00:05:52,320 --> 00:05:55,000 Speaker 1: it sends away the bad the bad spirits. It's supposed 104 00:05:55,000 --> 00:05:57,159 Speaker 1: to be healthy. There's there's a lot of good that 105 00:05:57,160 --> 00:05:59,960 Speaker 1: comes out. If you send away dark spirits, then by definition, 106 00:06:00,080 --> 00:06:02,719 Speaker 1: you're happier. Right, the dark spirits are out of the room. Actually, 107 00:06:02,760 --> 00:06:05,200 Speaker 1: a smell is so bad. That's why the dark spirits leave, 108 00:06:05,640 --> 00:06:08,680 Speaker 1: because the dark spirits go, oh God, what died in here? 109 00:06:09,680 --> 00:06:14,080 Speaker 1: And that makes you happier? Um. Well, the Alsagundo Times 110 00:06:14,120 --> 00:06:15,760 Speaker 1: had one of their writers, Wait a minute, I got 111 00:06:15,839 --> 00:06:18,280 Speaker 1: to get her title because it's fantastic. They have this 112 00:06:18,360 --> 00:06:24,200 Speaker 1: certain department there. Jessica Roy, Assistant editor, Utility, Journalism and Utility. 113 00:06:24,240 --> 00:06:25,680 Speaker 1: You told me once it's just a kind of filled 114 00:06:25,680 --> 00:06:27,960 Speaker 1: in the gaps like a utility baseball player. Right. It 115 00:06:28,000 --> 00:06:31,919 Speaker 1: doesn't mean she's covering the electric company, No, it just 116 00:06:32,120 --> 00:06:36,320 Speaker 1: means she's utility. It's like you know, everybody off the bench, right, sure, exactly, 117 00:06:36,400 --> 00:06:39,159 Speaker 1: we have an opening today. Somebody didn't show up for 118 00:06:39,160 --> 00:06:43,320 Speaker 1: work because they felt sad. So you will you write 119 00:06:43,320 --> 00:06:47,839 Speaker 1: this article. Here are the strategies in case you don't 120 00:06:47,920 --> 00:06:50,120 Speaker 1: really take to John's idea. Of just think good thoughts, 121 00:06:50,360 --> 00:06:54,480 Speaker 1: try light therapy. Sad lamps are safe and effective as 122 00:06:54,480 --> 00:06:58,400 Speaker 1: a treatment. There is such a thing as a sad lamp. Well, yeah, 123 00:06:58,400 --> 00:07:02,159 Speaker 1: I bought a few of those. I just didn't fit 124 00:07:02,200 --> 00:07:05,640 Speaker 1: in anywhere. Of course it mentions take advantage of southern California. 125 00:07:05,680 --> 00:07:07,960 Speaker 1: Is a natural sunlight, well yes, it's going to get darker. 126 00:07:08,040 --> 00:07:11,920 Speaker 1: Art provokes a chemical reaction inside you. It does, It 127 00:07:11,960 --> 00:07:15,480 Speaker 1: does well, like for example, sunlight has vitamin D. When 128 00:07:15,520 --> 00:07:17,160 Speaker 1: my parents took us to the beach as a kid, 129 00:07:17,200 --> 00:07:19,320 Speaker 1: I was never in a sad mood. Never there you go. 130 00:07:19,760 --> 00:07:22,920 Speaker 1: It's always energetic, ready to run in the water, around 131 00:07:22,920 --> 00:07:26,320 Speaker 1: in sunlight. Yeah, yeah, okay, Well there is vitamin D 132 00:07:26,560 --> 00:07:29,680 Speaker 1: if you're not. They thought that could fight off COVID. No. 133 00:07:29,880 --> 00:07:32,880 Speaker 1: I know somebody who went to the doctor and they said, 134 00:07:32,920 --> 00:07:34,800 Speaker 1: your vitamin D is low. Go out in the sun. 135 00:07:34,840 --> 00:07:39,000 Speaker 1: That was the prescription. Is that right? Yeah, not take pills, 136 00:07:39,040 --> 00:07:41,200 Speaker 1: go out in the sun and then get skin cancer. 137 00:07:41,760 --> 00:07:45,920 Speaker 1: But that's the downside. Brighten up your space. See if 138 00:07:45,920 --> 00:07:47,800 Speaker 1: there are things that you can turn. You can let 139 00:07:47,840 --> 00:07:51,440 Speaker 1: in more of the season's limited natural light colors affect 140 00:07:51,440 --> 00:07:53,840 Speaker 1: Move your desk to the window, or something right. Colors 141 00:07:53,840 --> 00:07:57,240 Speaker 1: affect your mood, create a routine. My favorite, though, is 142 00:07:57,240 --> 00:08:00,480 Speaker 1: the one i'd get moving. I say, the one thing 143 00:08:00,520 --> 00:08:04,480 Speaker 1: I discovered that exercise, particularly moving like running, it does 144 00:08:04,520 --> 00:08:07,520 Speaker 1: actually improve your mental state. Does well because it releases 145 00:08:07,600 --> 00:08:10,480 Speaker 1: happy chemicals. Its happy chemicals go dancing in your head. 146 00:08:10,480 --> 00:08:12,320 Speaker 1: You know, you get it, you get you get dopamine. 147 00:08:13,080 --> 00:08:15,800 Speaker 1: I don't know what's dancing in your head. Dopamine and 148 00:08:16,000 --> 00:08:19,480 Speaker 1: adrenaline and all kinds of happy stuff. Now you don't. 149 00:08:19,640 --> 00:08:22,119 Speaker 1: Do you ever see depressed people jogging? They don't jog. 150 00:08:22,560 --> 00:08:25,840 Speaker 1: Depressed people lay on the sofa. They said, they're in 151 00:08:25,840 --> 00:08:30,280 Speaker 1: the fetal position. They wallow and marinate. They so they 152 00:08:30,360 --> 00:08:32,520 Speaker 1: end up stinking because they do. They're like, well after 153 00:08:32,559 --> 00:08:35,920 Speaker 1: a while, they're like a stew Uh, this one's for you, John. 154 00:08:35,960 --> 00:08:40,719 Speaker 1: Practice meditation and gratitude. So tell everybody how much you 155 00:08:40,840 --> 00:08:44,440 Speaker 1: appreciate that. Now you're how you're pushing it and spend 156 00:08:44,480 --> 00:08:48,000 Speaker 1: more time with friends and family. Well, it depends. Human 157 00:08:48,080 --> 00:08:50,960 Speaker 1: connection is critical. Don't sit there and wallow in your 158 00:08:50,960 --> 00:08:54,280 Speaker 1: own negative chemicals. I saw that, and and that's the 159 00:08:54,320 --> 00:08:57,000 Speaker 1: part they washed me on with the human connection is 160 00:08:57,040 --> 00:09:00,679 Speaker 1: critical because people lift each other spirits. I'm happy by 161 00:09:00,720 --> 00:09:05,120 Speaker 1: myself and generally when i'm in a bad mood, there's 162 00:09:05,200 --> 00:09:09,880 Speaker 1: somebody else around me. No, it's true. I am never 163 00:09:09,960 --> 00:09:12,600 Speaker 1: unhappy when i'm alone because I'm doing exactly what i want. 164 00:09:12,720 --> 00:09:15,040 Speaker 1: But don't you. Aren't you happier when you go out 165 00:09:15,080 --> 00:09:17,480 Speaker 1: to lunch with a friend or when you're sitting in 166 00:09:17,520 --> 00:09:20,319 Speaker 1: the park with a friend, when you're talking and engaging. 167 00:09:20,800 --> 00:09:24,720 Speaker 1: You're crazy conspiracy theories and I'm not unhappy. What I'm 168 00:09:24,720 --> 00:09:28,920 Speaker 1: saying is I'm always happy when I'm alone, and when 169 00:09:28,960 --> 00:09:31,720 Speaker 1: I'm not alone. It depends on what my company is. 170 00:09:33,880 --> 00:09:37,360 Speaker 1: Don't take it personally. A lot of caveats to this. Yeah, 171 00:09:38,240 --> 00:09:41,920 Speaker 1: come in and visit you there you go. He's kind 172 00:09:41,920 --> 00:09:44,520 Speaker 1: of hit and miss on that. I have you right 173 00:09:45,120 --> 00:09:47,559 Speaker 1: a thing. Sometimes you're talking to her your spirits, and 174 00:09:47,640 --> 00:09:52,680 Speaker 1: sometimes it's like, oh God, is it her again? Fine, 175 00:09:52,920 --> 00:09:59,760 Speaker 1: I know what I'm not wanted. See now you've now 176 00:10:00,000 --> 00:10:05,440 Speaker 1: I heard him. Now I'm sad, she said, right, all right. 177 00:10:05,480 --> 00:10:08,120 Speaker 1: As soon as we return, there is a chance of money. 178 00:10:08,360 --> 00:10:11,200 Speaker 1: That would be the inflation bonus cash money. You could 179 00:10:11,200 --> 00:10:13,959 Speaker 1: win some you get the keyword, get the instructions, follow along, 180 00:10:14,360 --> 00:10:16,440 Speaker 1: it's coming up next, John and Ken KF I am 181 00:10:16,520 --> 00:10:19,840 Speaker 1: six forty Live Everywhere or the iHeartRadio Act. You are fired, 182 00:10:20,480 --> 00:10:23,520 Speaker 1: my gosh. One thing to do each hour, one job, 183 00:10:23,960 --> 00:10:28,840 Speaker 1: one monkey job. Uh yeah, uh one does get one 184 00:10:28,880 --> 00:10:30,680 Speaker 1: thing out of the way. Because we had a busy 185 00:10:30,760 --> 00:10:33,360 Speaker 1: weekend and you know, we've had to get together John, 186 00:10:33,400 --> 00:10:38,880 Speaker 1: which is rare. The Googlepool committee. Now, yeah, I didn't 187 00:10:38,920 --> 00:10:41,640 Speaker 1: know who this guy was. Well I did something for you. 188 00:10:42,960 --> 00:10:45,000 Speaker 1: We're talking, of course, about the death of Aaron Carter 189 00:10:45,160 --> 00:10:48,720 Speaker 1: at age thirty four, and immediately the Googlepool Committee went 190 00:10:48,720 --> 00:10:51,840 Speaker 1: on alert because thirty four year old to die, that's 191 00:10:51,840 --> 00:10:54,439 Speaker 1: a lot of points. And this harkens back to the 192 00:10:54,559 --> 00:10:58,160 Speaker 1: rules of the Google Pool which are seldom, seldom often 193 00:10:58,200 --> 00:11:01,120 Speaker 1: ignored now by people who enter when they keep entering 194 00:11:01,160 --> 00:11:04,439 Speaker 1: somebody who's a hundred. Now, certainly if you go three 195 00:11:04,520 --> 00:11:06,280 Speaker 1: for three, that's nice and we recognize it, but you 196 00:11:06,320 --> 00:11:09,160 Speaker 1: don't get a lot of points. It is a point system, 197 00:11:09,240 --> 00:11:12,920 Speaker 1: So the younger they are, the more points they're worth. However, 198 00:11:13,080 --> 00:11:15,280 Speaker 1: what was the caveat to that that if they had 199 00:11:15,400 --> 00:11:20,360 Speaker 1: known health issues and problems, right, Aaron Carter had definite 200 00:11:20,400 --> 00:11:24,959 Speaker 1: substance abuse problems, and did anyone pick him. Three people did? 201 00:11:25,200 --> 00:11:28,480 Speaker 1: Did they? Ray says to do it every year? You 202 00:11:28,559 --> 00:11:30,599 Speaker 1: know how they used to design for Lindsay Lohan and 203 00:11:30,640 --> 00:11:34,640 Speaker 1: Britney Spears and they're still around. But there's some listeners 204 00:11:34,679 --> 00:11:37,600 Speaker 1: that just kept picking Aaron Carter. See this one's tough 205 00:11:37,640 --> 00:11:40,079 Speaker 1: for me, is honest to God? If I know I 206 00:11:40,200 --> 00:11:42,319 Speaker 1: texted John, he writes back, I don't know who that is. 207 00:11:42,600 --> 00:11:44,480 Speaker 1: If I knew who he was, I have no memory 208 00:11:44,520 --> 00:11:47,839 Speaker 1: of knowing who he was. Well, here's the thing. I 209 00:11:48,000 --> 00:11:51,240 Speaker 1: looked him up in the official Bible, which is the 210 00:11:51,280 --> 00:11:53,720 Speaker 1: American Top forty. I have the actual book American Top 211 00:11:53,800 --> 00:11:56,320 Speaker 1: forty charts over the years. I got the updated one 212 00:11:56,360 --> 00:11:59,319 Speaker 1: through the two thousand something year, so he's in here. 213 00:11:59,400 --> 00:12:02,439 Speaker 1: He had one single that made the top forty. By 214 00:12:02,440 --> 00:12:04,319 Speaker 1: the way, if you don't know who Aaron Carter is, 215 00:12:04,720 --> 00:12:07,360 Speaker 1: he's the younger brother of one of the Backstreet Boys singers. 216 00:12:07,559 --> 00:12:09,559 Speaker 1: You must know who they are doing, right, But I 217 00:12:09,600 --> 00:12:12,520 Speaker 1: don't know any of their names. Nick Carter is his brother. 218 00:12:13,320 --> 00:12:14,719 Speaker 1: Do you want to do I look like a guy 219 00:12:14,760 --> 00:12:18,040 Speaker 1: who listens to the Backstreet Boys in the car? You 220 00:12:18,120 --> 00:12:20,880 Speaker 1: do not know? Okay, it'll make you happy, though I 221 00:12:21,320 --> 00:12:24,080 Speaker 1: enjoy the music. It's it's what years were they popular? 222 00:12:24,559 --> 00:12:30,680 Speaker 1: The two thousands, right, Deborah and the two early two thousands. Okay, 223 00:12:30,880 --> 00:12:32,680 Speaker 1: they're popular when I was a kid. So this wasn't 224 00:12:32,720 --> 00:12:35,160 Speaker 1: one of those groups that you and I played when 225 00:12:35,200 --> 00:12:38,559 Speaker 1: we were the jockeys. I know, I didn't even know 226 00:12:38,640 --> 00:12:41,080 Speaker 1: what ear he was from. In fact, I can look 227 00:12:41,120 --> 00:12:43,840 Speaker 1: them up, uh and tell you when their singles were. 228 00:12:43,960 --> 00:12:46,160 Speaker 1: That's right. I didn't even think about that. Oh my gosh, 229 00:12:46,240 --> 00:12:48,679 Speaker 1: Yeah they did well. Nineteen ninety seven was their first 230 00:12:48,760 --> 00:12:54,079 Speaker 1: charted single, Quit Playing Games with My Heart. Yes, I 231 00:12:54,200 --> 00:12:57,920 Speaker 1: like them more than in Sync. Actually, you don't seem 232 00:12:57,960 --> 00:12:59,640 Speaker 1: like a boy bad he doesn't seem like a boy. 233 00:13:00,559 --> 00:13:03,360 Speaker 1: It was literally just as like in Sync and Backstreet 234 00:13:03,360 --> 00:13:05,240 Speaker 1: Boys were out, and then it switched to rap and 235 00:13:05,320 --> 00:13:09,800 Speaker 1: hip hop. But in nineteen ninety seven, Eric, you were 236 00:13:09,840 --> 00:13:12,439 Speaker 1: what three? Yeah, I was about three years old for you, 237 00:13:13,080 --> 00:13:16,959 Speaker 1: I mean, so there's his out there big, Like their 238 00:13:17,000 --> 00:13:20,040 Speaker 1: big album Millennium came out like nineteen ninety nine, two thousand, 239 00:13:20,160 --> 00:13:22,599 Speaker 1: right at the turn, and that was like when I 240 00:13:22,679 --> 00:13:24,199 Speaker 1: was in kindergarten, and that was like one of the 241 00:13:24,240 --> 00:13:27,000 Speaker 1: first cassette tapes my parents bought me to like listen 242 00:13:27,040 --> 00:13:30,400 Speaker 1: to Oh they charted all the way into the year 243 00:13:30,480 --> 00:13:32,760 Speaker 1: two thousand and one, and then it looks like they 244 00:13:32,800 --> 00:13:35,199 Speaker 1: just I think they're still doing shows though together, like 245 00:13:35,280 --> 00:13:37,200 Speaker 1: a reunion tour. They just did a show in London. 246 00:13:37,920 --> 00:13:40,360 Speaker 1: Oh yeah, if you get X number of hits, you 247 00:13:40,440 --> 00:13:42,000 Speaker 1: can play them the rest of your life and make 248 00:13:42,000 --> 00:13:44,679 Speaker 1: a lot of Vegas residencies all that. Yeah, all right. 249 00:13:44,800 --> 00:13:47,800 Speaker 1: So Aaron Carter started his own career as younger than 250 00:13:47,880 --> 00:13:51,160 Speaker 1: his brother. Here he is described as a white teen 251 00:13:51,400 --> 00:13:56,600 Speaker 1: rapper born in Tampa, Florida. He had one top forty 252 00:13:56,720 --> 00:13:59,880 Speaker 1: hit in the year two thousand. Now it only got 253 00:14:00,000 --> 00:14:04,120 Speaker 1: to number thirty five for three weeks. But it has 254 00:14:04,160 --> 00:14:07,480 Speaker 1: a little dot, which means it was certified a gold single. 255 00:14:08,880 --> 00:14:11,240 Speaker 1: But you know, you look up the directory of this 256 00:14:11,960 --> 00:14:14,640 Speaker 1: and apparently they changed the rules a bit. It used 257 00:14:14,640 --> 00:14:16,240 Speaker 1: to be to be a gold single, you had to 258 00:14:16,320 --> 00:14:20,360 Speaker 1: sell a million units, oh and two million for a platinum, 259 00:14:20,400 --> 00:14:23,200 Speaker 1: but they lowered it to five hundred thousand. Isn't that 260 00:14:23,320 --> 00:14:27,520 Speaker 1: the story of this error for gold single? I forget 261 00:14:27,560 --> 00:14:30,240 Speaker 1: what euro was, but that's so he qualified under the five. 262 00:14:31,240 --> 00:14:33,560 Speaker 1: It's it's like great inflation. It's like you had a 263 00:14:33,640 --> 00:14:35,480 Speaker 1: c record and they bumped it up to an A 264 00:14:35,640 --> 00:14:41,520 Speaker 1: for you. Yeah. Nice. So those three people are likely 265 00:14:41,600 --> 00:14:44,840 Speaker 1: to win Google Pool twenty twenty two. I can't imagine 266 00:14:44,920 --> 00:14:47,560 Speaker 1: somebody younger. I have a question, though, does one hit 267 00:14:47,640 --> 00:14:50,560 Speaker 1: single that hits number thirty five qualify you as a celebrity. 268 00:14:51,840 --> 00:14:55,520 Speaker 1: I think he was known and he was an actor too. 269 00:14:55,880 --> 00:14:58,400 Speaker 1: He was known as the brother of Nick Right. He 270 00:14:58,560 --> 00:15:00,360 Speaker 1: was in the tabloids a lot because I think he 271 00:15:00,400 --> 00:15:02,840 Speaker 1: had a lot of problems. But um, well, there's a 272 00:15:03,000 --> 00:15:05,960 Speaker 1: certain guyd of fame, huh, and he's at the top 273 00:15:06,040 --> 00:15:09,440 Speaker 1: of the Daily Nail with an exclusive Listen to this headline. 274 00:15:09,720 --> 00:15:14,200 Speaker 1: Aaron Carter's mystery house sitter refused medically trained neighbors who 275 00:15:14,240 --> 00:15:17,840 Speaker 1: had a defibrillator into the house after she found him 276 00:15:17,920 --> 00:15:22,520 Speaker 1: unresponsive in the bathtub. Who wouldn't let him in? The 277 00:15:22,760 --> 00:15:26,080 Speaker 1: house sitter? A woman she's described as a house sitter. 278 00:15:26,120 --> 00:15:28,200 Speaker 1: Now she's a house sitter and he's there. What is 279 00:15:28,240 --> 00:15:31,960 Speaker 1: she sitting? Uh? Was he in the was she in 280 00:15:32,000 --> 00:15:36,760 Speaker 1: the will? I don't know if you're if you're blocking, 281 00:15:36,880 --> 00:15:39,960 Speaker 1: don't They don't even name her yet. It's the neighbors. 282 00:15:41,000 --> 00:15:43,560 Speaker 1: What can you block emergency help from a guy who's dying. 283 00:15:44,280 --> 00:15:48,600 Speaker 1: I it says here. They learned about the situation from 284 00:15:48,640 --> 00:15:50,720 Speaker 1: a nine one one call on their police scanner. These 285 00:15:50,760 --> 00:15:54,320 Speaker 1: are the neighbors Anthony and Amanda Cheval, So they rushed 286 00:15:54,360 --> 00:15:58,240 Speaker 1: over with their defibulator. Who has that? Oh? People do, 287 00:15:58,440 --> 00:16:01,400 Speaker 1: now do they? Yeah? I have something. I forget what 288 00:16:01,480 --> 00:16:05,080 Speaker 1: it was. Something I do because you never know when 289 00:16:05,120 --> 00:16:10,440 Speaker 1: you might go down, you do. I do have to 290 00:16:10,520 --> 00:16:11,920 Speaker 1: go see what it is. I'll look it up during 291 00:16:11,960 --> 00:16:13,960 Speaker 1: the break. I don't know what it is. I have 292 00:16:14,080 --> 00:16:15,560 Speaker 1: never used it, and it's been in the closet for 293 00:16:16,520 --> 00:16:17,920 Speaker 1: when you need to get it out of the closet, 294 00:16:17,960 --> 00:16:19,760 Speaker 1: because when you need it, you should know what it 295 00:16:19,960 --> 00:16:22,200 Speaker 1: is because against you suffer. Someone may have given it 296 00:16:22,240 --> 00:16:28,520 Speaker 1: to me. I don't even remember, like an a D. Oh, well, no, 297 00:16:28,760 --> 00:16:31,520 Speaker 1: it's it's it is? Uh, well what an a D? 298 00:16:32,200 --> 00:16:35,760 Speaker 1: What's an AD A defibrillator? Yeah, I think that's what 299 00:16:35,880 --> 00:16:37,840 Speaker 1: it is. I think that's what somebody gave me. Well 300 00:16:37,840 --> 00:16:39,640 Speaker 1: they's got the little paddles. Then you should know what 301 00:16:39,760 --> 00:16:41,400 Speaker 1: it is because if you need it, then you got 302 00:16:41,480 --> 00:16:44,800 Speaker 1: to tell somebody. Hey, the defibrillators in the closet over there. 303 00:16:44,920 --> 00:16:47,760 Speaker 1: I know it's like preparing for an earthquake. People say 304 00:16:47,800 --> 00:16:49,560 Speaker 1: they will and you put a bottle of water in 305 00:16:49,600 --> 00:16:51,840 Speaker 1: the garage, and they don't really follow me. I don't 306 00:16:51,880 --> 00:16:58,840 Speaker 1: have one a defibrillator? Should I get? You? Probably should? John? Yeah, 307 00:16:59,120 --> 00:17:00,720 Speaker 1: what do you mean by that? Hey? You know what 308 00:17:00,840 --> 00:17:05,400 Speaker 1: I mean. So Amanda is a registered nurse. That's why 309 00:17:05,520 --> 00:17:09,160 Speaker 1: she has one. Oh. So she grabbed her defibrillator bag 310 00:17:09,280 --> 00:17:11,520 Speaker 1: and ran across the street to try to save him, 311 00:17:12,440 --> 00:17:14,160 Speaker 1: and they claimed they knocked on the door. A few 312 00:17:14,200 --> 00:17:18,960 Speaker 1: minutes later, a black female answered the door and basically 313 00:17:19,040 --> 00:17:23,000 Speaker 1: turned them away. She've all said. The woman was hysterical, 314 00:17:23,160 --> 00:17:25,600 Speaker 1: was foaming at both sides of her mouth. He asked 315 00:17:25,600 --> 00:17:27,879 Speaker 1: her if she needed any help. I think, but the 316 00:17:27,960 --> 00:17:30,280 Speaker 1: house was screaming, he's gone, He's dead, He's gone. She 317 00:17:30,359 --> 00:17:33,440 Speaker 1: kept screaming that over and over again. She asked, would 318 00:17:33,440 --> 00:17:36,920 Speaker 1: you let me in? Yeah, this woman's foaming. What makes 319 00:17:36,960 --> 00:17:40,040 Speaker 1: you foam at the mouth? This housetter kept screaming, I 320 00:17:40,119 --> 00:17:42,159 Speaker 1: can't let you in. She locked the front door, and 321 00:17:42,200 --> 00:17:44,480 Speaker 1: I could hear her running away from the door. A 322 00:17:44,520 --> 00:17:47,520 Speaker 1: few minutes later, sheriff's deputies arrived and eventually the med's 323 00:17:47,720 --> 00:17:50,320 Speaker 1: the medics arrived. You really got to vet your housekeeper. Huh, 324 00:17:50,440 --> 00:17:53,480 Speaker 1: you're not kidding. It's like if somebody comes to the 325 00:17:53,560 --> 00:17:57,480 Speaker 1: door with life saving equipment, you let him in. All right, Well, 326 00:17:57,640 --> 00:18:01,160 Speaker 1: we've decided that Aaron Carter counts for Goldpool twenty twenty two. 327 00:18:01,160 --> 00:18:06,320 Speaker 1: You missed the committee meeting, John, So when we come back, 328 00:18:06,440 --> 00:18:10,480 Speaker 1: we'll talk about tomorrow's elections and the takes by both 329 00:18:10,560 --> 00:18:13,879 Speaker 1: sides on the possible outcomes. Is it a mystery or 330 00:18:14,040 --> 00:18:16,359 Speaker 1: is it what the poll? Sorry, Johnny Ken CAF I 331 00:18:16,480 --> 00:18:19,240 Speaker 1: am six forty live everywhere in the iHeartRadio Act. Right. 332 00:18:19,280 --> 00:18:21,520 Speaker 1: A quick reminder, five o'clock is the hour of Candidates. 333 00:18:21,560 --> 00:18:24,199 Speaker 1: That's when you will get thirty seconds of valuable CAFI 334 00:18:24,280 --> 00:18:27,280 Speaker 1: airtime to make your pitch for office candidates only please, 335 00:18:27,840 --> 00:18:31,280 Speaker 1: and it is first come, first served. And after today 336 00:18:31,720 --> 00:18:34,800 Speaker 1: we'll be done with all the campaign ads. This came 337 00:18:34,840 --> 00:18:39,440 Speaker 1: out from Reform California. That's called Demios group. Vote as 338 00:18:39,520 --> 00:18:43,640 Speaker 1: soon as possible. Please do not wait until tomorrow, John Cobelt, 339 00:18:43,960 --> 00:18:46,800 Speaker 1: because vote today at a voting center, so we reduce 340 00:18:46,880 --> 00:18:49,760 Speaker 1: the lines tomorrow. There's a significant chance of heavy rain 341 00:18:49,880 --> 00:18:53,200 Speaker 1: through tomorrow night. We're worried that this could suppress the 342 00:18:53,359 --> 00:18:56,720 Speaker 1: turnout of voters on our side. You know what they 343 00:18:56,800 --> 00:19:01,960 Speaker 1: call people who are kind of like vote low propensity voters. 344 00:19:02,080 --> 00:19:04,720 Speaker 1: Did you ever hear that term? Is that like low testosterone, 345 00:19:05,240 --> 00:19:09,760 Speaker 1: low propensity, low propensity? They shrug? Maybe? Yeah, I think 346 00:19:09,760 --> 00:19:11,680 Speaker 1: I got a bouted around the house somewhere. I don't know. 347 00:19:11,760 --> 00:19:14,760 Speaker 1: I may I understand that because everything is a disaster 348 00:19:15,200 --> 00:19:17,480 Speaker 1: and this is all because of our voting. So in 349 00:19:17,600 --> 00:19:20,280 Speaker 1: particularly California, there's really nothing at stake, And maybe the 350 00:19:20,359 --> 00:19:22,920 Speaker 1: mayor's race and a couple of the mayor's race congress 351 00:19:23,080 --> 00:19:25,960 Speaker 1: races maybe, but yeah, the only the only race I'm 352 00:19:26,000 --> 00:19:29,040 Speaker 1: interested in is the mayor's race to vote for Carusoe, 353 00:19:29,280 --> 00:19:32,560 Speaker 1: because that that that this is an emergency situation. You 354 00:19:32,680 --> 00:19:35,720 Speaker 1: go to the party city is a disaster. Are you 355 00:19:35,800 --> 00:19:38,359 Speaker 1: a special VIP gas for tomorrow night? Celebration at the 356 00:19:39,080 --> 00:19:43,320 Speaker 1: social life? What's that? I'm not commenting on my social life? Oh, 357 00:19:43,640 --> 00:19:49,680 Speaker 1: Nancy Pelosi's got you scared? Yeah, well the Pelosi attack. Yeah, 358 00:19:50,000 --> 00:19:51,560 Speaker 1: I'm not going to comment them. Where you're gonna be 359 00:19:52,440 --> 00:19:55,359 Speaker 1: that that is a security breach there, that is true. 360 00:19:55,560 --> 00:19:57,280 Speaker 1: I know you have your own little bodyguards with you 361 00:19:57,400 --> 00:19:59,360 Speaker 1: at all times, but you know, you know what's going 362 00:19:59,400 --> 00:20:01,280 Speaker 1: on after to give away whether or not she'll be 363 00:20:01,359 --> 00:20:06,520 Speaker 1: at the party. So clearly, if you've been following the 364 00:20:06,560 --> 00:20:08,880 Speaker 1: news on this, the polls and they may be worthless 365 00:20:09,720 --> 00:20:11,240 Speaker 1: if you look at the poll of polls and a 366 00:20:11,320 --> 00:20:13,760 Speaker 1: collection of polls. Did you see that article I sent you? 367 00:20:14,600 --> 00:20:16,960 Speaker 1: I did see that. Yes, we're going to comment on that. 368 00:20:17,040 --> 00:20:19,800 Speaker 1: Plus the Alsigondo Times take on this is hysterical too. 369 00:20:20,359 --> 00:20:23,840 Speaker 1: But yeah, we'll start with the what's the headline? Posters 370 00:20:23,880 --> 00:20:26,600 Speaker 1: have no effing idea? What's going to happen to this election? 371 00:20:26,640 --> 00:20:32,440 Speaker 1: Oh that's nice, Yeah, and that's from a polster. They're 372 00:20:32,480 --> 00:20:34,520 Speaker 1: about to give up Affect are a couple of really 373 00:20:34,600 --> 00:20:38,280 Speaker 1: interesting articles today that I read, and that a lot 374 00:20:38,359 --> 00:20:42,880 Speaker 1: of polsters gave up on polling after the twenty twenty election. Yeah, 375 00:20:42,880 --> 00:20:45,159 Speaker 1: but I thought it was because they always undercounted like 376 00:20:45,280 --> 00:20:48,440 Speaker 1: the Trump kind of support, and that now the polls 377 00:20:48,440 --> 00:20:51,800 Speaker 1: are showing heavy red Republican waves. So right, I'll think 378 00:20:51,880 --> 00:20:55,000 Speaker 1: undercounting the other side this time. Maybe they're undercounting the 379 00:20:55,080 --> 00:21:00,200 Speaker 1: size of the wave. It's not a tsunami to be 380 00:21:00,240 --> 00:21:03,000 Speaker 1: a tsunami. I don't know what's bigger than a tsunami. Oh, 381 00:21:03,040 --> 00:21:04,639 Speaker 1: I don't know, a super tsunami. Yeah, it could be 382 00:21:04,640 --> 00:21:07,680 Speaker 1: a super tsunami. No, well, here's the thing. I've seen 383 00:21:07,720 --> 00:21:11,760 Speaker 1: this twice. Now, you you start calling people up right, 384 00:21:11,760 --> 00:21:14,399 Speaker 1: you're a pholster. Do you know ninety nine out of 385 00:21:14,480 --> 00:21:16,760 Speaker 1: one hundred people will not talk to you or will 386 00:21:16,840 --> 00:21:20,600 Speaker 1: not answer. But I thought they used other means. Now 387 00:21:20,960 --> 00:21:23,400 Speaker 1: they do, But they don't know if if that's accurate, 388 00:21:23,640 --> 00:21:26,560 Speaker 1: because nobody answers their phone anymore. It's all spam, right, 389 00:21:26,800 --> 00:21:29,840 Speaker 1: So that's what's really killed the polling industry is that 390 00:21:30,040 --> 00:21:31,919 Speaker 1: there's a whole bunch of things. One is nobody answers 391 00:21:31,960 --> 00:21:35,000 Speaker 1: the phone. Secondly, you don't really know who you're writing to. 392 00:21:35,600 --> 00:21:37,920 Speaker 1: If you know you're you're online. That's kind of a 393 00:21:37,960 --> 00:21:42,000 Speaker 1: self selected group of people right now. The gold standard 394 00:21:42,080 --> 00:21:45,000 Speaker 1: used to be you call people and they answer the phone, 395 00:21:45,040 --> 00:21:47,600 Speaker 1: they identify themselves, they give a lot of personal information, 396 00:21:47,720 --> 00:21:50,600 Speaker 1: so you get it demographically correct, and on and on 397 00:21:51,080 --> 00:21:55,280 Speaker 1: and now now they're sending you an I don't even 398 00:21:55,320 --> 00:21:57,239 Speaker 1: know how they recruit people online. I don't know how 399 00:21:57,280 --> 00:22:04,240 Speaker 1: that works. What like is that through emails? It? Yeah? Well, 400 00:22:04,440 --> 00:22:08,000 Speaker 1: because I read the polsters aren't really sold on this method. Secondly, 401 00:22:09,440 --> 00:22:11,960 Speaker 1: at this point, you should be doing likely voter polls, 402 00:22:12,080 --> 00:22:15,080 Speaker 1: not registered voter polls, and that that's one of the 403 00:22:15,800 --> 00:22:20,000 Speaker 1: tricks that dishonest polsters use is they keep doing register 404 00:22:20,320 --> 00:22:23,800 Speaker 1: voter voter polls in October and saying, oh, it looks 405 00:22:23,840 --> 00:22:27,399 Speaker 1: like the Democrats are doing much better than expected, because 406 00:22:27,920 --> 00:22:31,760 Speaker 1: in registered voter polls, Democrats always do better. The more 407 00:22:31,840 --> 00:22:35,600 Speaker 1: you shrink it down to likely voters, the more republican 408 00:22:35,880 --> 00:22:40,040 Speaker 1: the sample sizes. Now, what is a likely voter. One 409 00:22:40,080 --> 00:22:42,080 Speaker 1: of the things they missed in twenty sixteen with the 410 00:22:42,119 --> 00:22:45,239 Speaker 1: Trump crowd is Trump inspired a lot of people who 411 00:22:45,320 --> 00:22:50,080 Speaker 1: are low propensity voters to vote, So they didn't expect 412 00:22:50,359 --> 00:22:53,520 Speaker 1: this particular demographic to show up and start voting through 413 00:22:53,560 --> 00:22:59,800 Speaker 1: them completely off. They never they never balanced their sample 414 00:23:00,640 --> 00:23:06,960 Speaker 1: for non college educated white people. They just threw white 415 00:23:07,000 --> 00:23:09,919 Speaker 1: people on a big basket. Then they found out there 416 00:23:10,000 --> 00:23:12,560 Speaker 1: was a huge difference between the way college educated white 417 00:23:12,560 --> 00:23:16,240 Speaker 1: people vote and non college educated white people. And that's 418 00:23:16,240 --> 00:23:18,400 Speaker 1: why they missed on Trump. He had such a huge 419 00:23:18,480 --> 00:23:22,600 Speaker 1: bulge with non college educated white people. Threw off all 420 00:23:22,640 --> 00:23:25,639 Speaker 1: the surveys, but they did better in twenty twenty because 421 00:23:25,680 --> 00:23:28,320 Speaker 1: they were picking Biden through most of the polls. They 422 00:23:28,440 --> 00:23:30,960 Speaker 1: did better than twenty twenty, but it was much tighter 423 00:23:31,040 --> 00:23:35,159 Speaker 1: than they thought it was going to be. And it 424 00:23:35,320 --> 00:23:38,640 Speaker 1: didn't matter specifically in the Biden race because his lead 425 00:23:38,800 --> 00:23:41,520 Speaker 1: was big enough so that they weren't wrong. But in 426 00:23:41,680 --> 00:23:45,640 Speaker 1: terms of how many points they thought the margin would be, yeah, 427 00:23:45,680 --> 00:23:47,960 Speaker 1: they were wrong. All right, But let's put this aside. 428 00:23:48,040 --> 00:23:50,480 Speaker 1: This is not a presidential election. These are mid terms. 429 00:23:50,520 --> 00:23:53,080 Speaker 1: We were just voting for Congress and Senate. Isn't that 430 00:23:53,160 --> 00:23:56,879 Speaker 1: a different thing because it's not just one individual running 431 00:23:56,880 --> 00:23:58,920 Speaker 1: for president. If you're trying to poll on you got 432 00:23:58,960 --> 00:24:01,720 Speaker 1: all these separate congre tional races. Yeah, don't if that 433 00:24:01,760 --> 00:24:04,440 Speaker 1: makes this more accurate less accurate, But I I'll say, 434 00:24:04,480 --> 00:24:07,879 Speaker 1: and there's there's no doubt that the Republicans are taking 435 00:24:07,960 --> 00:24:10,280 Speaker 1: the House of Representatives. If that doesn't happen tomorrow, I 436 00:24:10,359 --> 00:24:12,919 Speaker 1: will drop a jaw. No. I think I think that's 437 00:24:12,920 --> 00:24:15,840 Speaker 1: absolutely going to happen to Senate. I don't know that 438 00:24:15,960 --> 00:24:17,960 Speaker 1: they're thinking that the Republicans could end up, you know, 439 00:24:18,040 --> 00:24:20,720 Speaker 1: fifty one, forty nine or even better, because that's four 440 00:24:20,880 --> 00:24:25,200 Speaker 1: individual races that are extremely tight an any or all 441 00:24:25,240 --> 00:24:26,960 Speaker 1: of the four could go one way or the other, 442 00:24:27,280 --> 00:24:28,880 Speaker 1: and there's no way to pick that when you when 443 00:24:28,880 --> 00:24:32,600 Speaker 1: you get down to within two points, nobody knows. A 444 00:24:32,720 --> 00:24:34,440 Speaker 1: lot of it has to do with turnout. Oh that's 445 00:24:34,480 --> 00:24:37,680 Speaker 1: the other thing. By the way, it's thirty four Senate contests. 446 00:24:37,720 --> 00:24:42,480 Speaker 1: So just so people know, that's thirty four Senate contests. Yeah, 447 00:24:42,760 --> 00:24:46,040 Speaker 1: out of one hundred Senate seats. They have no way 448 00:24:46,080 --> 00:24:49,720 Speaker 1: to know what the turnout is going to be in 449 00:24:50,040 --> 00:24:53,720 Speaker 1: an accurate enough way to make predictions on tight races. 450 00:24:55,480 --> 00:24:57,560 Speaker 1: So yeah, the control of the Senate is up in 451 00:24:57,600 --> 00:24:59,760 Speaker 1: the air, but not the House and all he needs 452 00:24:59,800 --> 00:25:03,760 Speaker 1: to house to gridlock government. One thing I think we 453 00:25:03,880 --> 00:25:06,879 Speaker 1: do know is these close races tomorrow night will not 454 00:25:06,960 --> 00:25:10,640 Speaker 1: be called because of the mail in vote. So there's 455 00:25:10,680 --> 00:25:15,120 Speaker 1: that now. Yeah, Oh, the mail in vote is obviously 456 00:25:15,200 --> 00:25:17,679 Speaker 1: overwhelming in California, So the mayor's race is not going 457 00:25:17,720 --> 00:25:20,800 Speaker 1: to be decided maybe for a week or more. Same thing, 458 00:25:21,000 --> 00:25:24,480 Speaker 1: the same thing in Pennsylvania. Yeah, how long they took 459 00:25:24,640 --> 00:25:27,240 Speaker 1: that doctor Oz Fetterman race. That could go on for 460 00:25:27,760 --> 00:25:31,439 Speaker 1: several weeks, right, I mean they didn't decide that Trump 461 00:25:31,920 --> 00:25:35,840 Speaker 1: Biden race until the Saturday after election day, it became official. 462 00:25:36,440 --> 00:25:39,200 Speaker 1: Now there's Georgia, Ohio, so it races are closed. So 463 00:25:39,480 --> 00:25:43,000 Speaker 1: they're thinking that could take a while to resolve. And 464 00:25:43,119 --> 00:25:47,960 Speaker 1: I guess there is thirty four governors races, but for 465 00:25:48,080 --> 00:25:50,040 Speaker 1: grab two you know, some of which are close, but 466 00:25:50,119 --> 00:25:52,440 Speaker 1: they're thirty six covered races. You know what I think, 467 00:25:52,840 --> 00:25:56,000 Speaker 1: not this one would I go by? This is like 468 00:25:56,160 --> 00:26:00,119 Speaker 1: looking at the weather, right, you could you could bake 469 00:26:00,160 --> 00:26:03,080 Speaker 1: up in the morning, listen to eleven different forecasts, but 470 00:26:03,520 --> 00:26:11,160 Speaker 1: look outside, right, sunshining or is it cloudy? Raining? Same 471 00:26:11,240 --> 00:26:14,639 Speaker 1: thing with this election. You know the mood that people 472 00:26:14,680 --> 00:26:17,480 Speaker 1: are in. You know what the gas prices are, You 473 00:26:17,560 --> 00:26:20,159 Speaker 1: know what the prices are at the grocery store. You 474 00:26:20,280 --> 00:26:24,400 Speaker 1: know how sick people are of woke nonsense. And I'm 475 00:26:24,440 --> 00:26:27,560 Speaker 1: excluding California here because we have so many slack jawed 476 00:26:27,680 --> 00:26:30,520 Speaker 1: cult members in California. But in the rest of the country, 477 00:26:30,560 --> 00:26:32,520 Speaker 1: trust me, the rest of the country. They don't want 478 00:26:32,560 --> 00:26:35,919 Speaker 1: their kids being taught all sorts of complex racial theories, 479 00:26:36,720 --> 00:26:42,400 Speaker 1: all sorts of unique theories on sexuality and gender. They 480 00:26:42,440 --> 00:26:45,480 Speaker 1: don't want their kids learning that. They're a lot of 481 00:26:45,520 --> 00:26:47,080 Speaker 1: parents are in a bad mood. A lot of moms 482 00:26:47,080 --> 00:26:49,920 Speaker 1: are in a bad mood. Everybody's really pissed off about gas. 483 00:26:50,000 --> 00:26:53,840 Speaker 1: Everybody's really pissed off about groceries. Yeah, that's the weather 484 00:26:53,920 --> 00:26:58,760 Speaker 1: out there. So what do you think overwhelmingly is the 485 00:26:58,880 --> 00:27:02,240 Speaker 1: thing the times in this happy spin story. Remember in 486 00:27:02,280 --> 00:27:05,760 Speaker 1: twenty sixteen, and you will put the little loose paper 487 00:27:05,880 --> 00:27:08,000 Speaker 1: up on the wall there. They all got it wrong 488 00:27:08,200 --> 00:27:11,040 Speaker 1: with the grim faces because Hillary Clinton lost, right, so 489 00:27:11,160 --> 00:27:13,280 Speaker 1: they're doing the opposite thing this time. All the polls 490 00:27:13,320 --> 00:27:15,359 Speaker 1: are looking at a red wave. Maybe there'll be a 491 00:27:15,440 --> 00:27:19,600 Speaker 1: November surprise and the Democrats will do better than expected that. 492 00:27:20,040 --> 00:27:22,040 Speaker 1: And then they point to the issues that again we 493 00:27:22,240 --> 00:27:25,120 Speaker 1: both you and I think are dead. Abortion, the Supreme 494 00:27:25,320 --> 00:27:29,119 Speaker 1: Court right, and the recent violence against the mister Pelosi. 495 00:27:29,560 --> 00:27:32,400 Speaker 1: Could these all factor into something we're not reading correctly. 496 00:27:32,480 --> 00:27:37,439 Speaker 1: It's all the issues that progressive cult members care about 497 00:27:37,520 --> 00:27:40,360 Speaker 1: and nobody else does. Right, But that's what they'd say 498 00:27:40,400 --> 00:27:45,520 Speaker 1: about your issues with critical race theory. They think that 499 00:27:45,680 --> 00:27:48,440 Speaker 1: that's a right wing whole rabbit hole ting. Then they're 500 00:27:48,480 --> 00:27:52,160 Speaker 1: not talking to suburban parents. Then they're willfully ignoring what's 501 00:27:52,200 --> 00:27:56,040 Speaker 1: really out there, and you are. I am not willfully ignoring. 502 00:27:56,160 --> 00:27:58,760 Speaker 1: I know for a fact, you're talking to suburban parents. 503 00:27:58,800 --> 00:28:01,520 Speaker 1: How do you know what suburban? I am a suburbasion wire, 504 00:28:01,880 --> 00:28:04,080 Speaker 1: I know, but you're not. My friends are suburbans. No 505 00:28:04,240 --> 00:28:07,320 Speaker 1: one person's reflective of the country. Let's not get silly here. 506 00:28:07,480 --> 00:28:10,840 Speaker 1: I don't talk to just one person or well ten people. 507 00:28:10,960 --> 00:28:14,480 Speaker 1: They're not reflective of what I'm techniculally west side suburban parents. 508 00:28:15,359 --> 00:28:19,359 Speaker 1: I know people back east, we're suburbans. I'm trying to 509 00:28:19,440 --> 00:28:22,200 Speaker 1: make this point. It is going to be here. The economy, 510 00:28:22,280 --> 00:28:26,320 Speaker 1: and that's it. All these other fringe issues wave them 511 00:28:26,359 --> 00:28:32,080 Speaker 1: off in local races, races for governors for example, races 512 00:28:32,160 --> 00:28:35,040 Speaker 1: for local state representatives, all that stuff is going to 513 00:28:35,119 --> 00:28:38,400 Speaker 1: matter too. Believe me, the school stuff matters. People are 514 00:28:38,440 --> 00:28:41,040 Speaker 1: still generally pissed off having their schools closed down for 515 00:28:41,040 --> 00:28:43,080 Speaker 1: a year and a half. They really are pissed off 516 00:28:43,200 --> 00:28:47,240 Speaker 1: over a race and sexual education. They are really I 517 00:28:47,280 --> 00:28:49,040 Speaker 1: don't tet to anybody and feels that way. Well, you're 518 00:28:49,040 --> 00:28:51,960 Speaker 1: not a parent. I have lots of friends that are parents, 519 00:28:52,080 --> 00:28:54,320 Speaker 1: and they do not bring these topics up. But well, 520 00:28:54,880 --> 00:28:57,560 Speaker 1: oh I run in a different crowd than you. Well 521 00:28:57,600 --> 00:29:01,280 Speaker 1: you do. You don't even leave your house, but just 522 00:29:01,360 --> 00:29:03,719 Speaker 1: because you sit in the studio does not make you special, 523 00:29:04,040 --> 00:29:06,480 Speaker 1: does not make you more aware of the work, does 524 00:29:06,520 --> 00:29:08,280 Speaker 1: not make you more in touch with anything. I mean, 525 00:29:08,320 --> 00:29:10,360 Speaker 1: you drive alone in your car to work, sit in 526 00:29:10,400 --> 00:29:12,480 Speaker 1: the room and talk to Deborah Mark all afternoon. That 527 00:29:12,600 --> 00:29:16,800 Speaker 1: does not make anything. I talked to Eric, and I 528 00:29:16,880 --> 00:29:18,440 Speaker 1: talked to Ray. That's three people I talked to you. 529 00:29:18,760 --> 00:29:20,959 Speaker 1: That's that's great. I talked to three of my neighbors. 530 00:29:21,040 --> 00:29:26,160 Speaker 1: Were even all right? More coming up, John and Ken KF. 531 00:29:26,280 --> 00:29:29,200 Speaker 1: I am six forty live everywhere on the iHeartRadio app. 532 00:29:29,360 --> 00:29:31,880 Speaker 1: We're gonna pull out a desk get three oh five. 533 00:29:32,400 --> 00:29:35,000 Speaker 1: It's one of our new favorites. It's the tongue bath desk. 534 00:29:35,680 --> 00:29:38,440 Speaker 1: You will find out why we devote the tongue bath 535 00:29:38,560 --> 00:29:42,920 Speaker 1: desk to writers who fawn over a certain celebrity, indoor 536 00:29:42,960 --> 00:29:46,840 Speaker 1: politician and to the point of excess. Then you'll find 537 00:29:46,880 --> 00:29:49,280 Speaker 1: out who it is and the subject matter to the 538 00:29:49,320 --> 00:29:51,960 Speaker 1: point of making a drooling mess of themselves. That's right 539 00:29:52,000 --> 00:29:54,600 Speaker 1: to giving them a tongue bath or what was the 540 00:29:54,720 --> 00:30:00,560 Speaker 1: term you used to use years ago on that one's 541 00:30:00,600 --> 00:30:07,240 Speaker 1: sometimes tough to uh meta meta formerly Facebook. Well, I 542 00:30:07,360 --> 00:30:11,080 Speaker 1: never knew this. How many people work for Meta I 543 00:30:11,120 --> 00:30:14,040 Speaker 1: saw today eighty seven eighty seven thousand. I actually thought 544 00:30:14,080 --> 00:30:16,120 Speaker 1: it was more just because there's so much on the company. 545 00:30:16,120 --> 00:30:18,040 Speaker 1: I put the hundreds of thousands work for him, And 546 00:30:18,160 --> 00:30:21,280 Speaker 1: what do they do? That's a good question. I don't know. 547 00:30:21,280 --> 00:30:24,480 Speaker 1: What can you imagine if you put eighty seven thousand 548 00:30:24,560 --> 00:30:28,000 Speaker 1: people in a factory? How much? How many products would 549 00:30:28,000 --> 00:30:31,400 Speaker 1: be made? And you put eighty seven thousand people at Facebook? 550 00:30:31,680 --> 00:30:33,800 Speaker 1: And what do you get out of it? They have 551 00:30:33,920 --> 00:30:38,760 Speaker 1: to monitor content, they have to moderate. Can you imagine 552 00:30:38,800 --> 00:30:41,920 Speaker 1: that moderating content for a living? You have to read? 553 00:30:42,120 --> 00:30:46,240 Speaker 1: Everybody's added twenty seven thousand employees in twenty and twenty 554 00:30:46,280 --> 00:30:49,400 Speaker 1: one combined, added another fifteen thousand the first nine months 555 00:30:49,400 --> 00:30:52,400 Speaker 1: of this year. So think about that number. That's forty 556 00:30:52,400 --> 00:30:54,280 Speaker 1: two thousand people they added in the last couple of 557 00:30:54,360 --> 00:30:56,920 Speaker 1: years that they didn't need three years ago. Well that's 558 00:30:57,000 --> 00:31:00,640 Speaker 1: why the announcement is falling that they're gonna lay off 559 00:31:00,680 --> 00:31:03,120 Speaker 1: a whole bunch of people this week. We're not so 560 00:31:03,360 --> 00:31:06,640 Speaker 1: exactly how many, but they have to cut expenses because 561 00:31:06,720 --> 00:31:11,280 Speaker 1: they put billions into the metaverse is a failure. They 562 00:31:11,360 --> 00:31:19,000 Speaker 1: are the social media version of the Backstreet Boys. They're 563 00:31:19,000 --> 00:31:21,680 Speaker 1: going to be playing on the oldie circuit. Older people 564 00:31:21,840 --> 00:31:25,600 Speaker 1: are going to use them until they drop off the planet. 565 00:31:25,960 --> 00:31:28,920 Speaker 1: They have totally lost the younger generation to TikTok and 566 00:31:29,040 --> 00:31:33,280 Speaker 1: that's never going to change. They're not cool, They're they're 567 00:31:33,400 --> 00:31:41,000 Speaker 1: very much twenty ten. Who Barry Diller is? Yeah, Barry 568 00:31:41,080 --> 00:31:44,160 Speaker 1: Diller has made billions in founding and investing top media 569 00:31:44,200 --> 00:31:48,040 Speaker 1: companies like Expedia Group, Fox Broadcasting in USA. He's eighty 570 00:31:48,120 --> 00:31:50,920 Speaker 1: years old now, but he went on CNBC this morning 571 00:31:51,000 --> 00:31:53,680 Speaker 1: to talk about Mark Zuckerberg, and he says, I have 572 00:31:53,680 --> 00:31:55,040 Speaker 1: a lot of respect from him, but I'm kind of 573 00:31:55,080 --> 00:31:57,960 Speaker 1: baffled if you change the name of your company to 574 00:31:58,080 --> 00:32:01,520 Speaker 1: something that doesn't get exist to Barry, what does wildly 575 00:32:01,600 --> 00:32:05,960 Speaker 1: exist successfully? Something's quite odd in that. And of course 576 00:32:06,000 --> 00:32:07,920 Speaker 1: what we're talking about here is the metaverse. I like 577 00:32:08,040 --> 00:32:12,800 Speaker 1: ways described here a digital universe where users interact via avatars. 578 00:32:14,800 --> 00:32:18,000 Speaker 1: That's that just sounds puzzling when he reads that. Something 579 00:32:18,040 --> 00:32:21,479 Speaker 1: for an eight year old other than weirdo geeks who 580 00:32:21,560 --> 00:32:24,720 Speaker 1: don't wear pants in their mother's basement, who would be 581 00:32:24,880 --> 00:32:28,560 Speaker 1: interested in that? What's the fifteen billion dollars so far 582 00:32:28,680 --> 00:32:31,200 Speaker 1: on this Yeah, on the metaverse. No, that's gonna go 583 00:32:31,360 --> 00:32:33,840 Speaker 1: down as one of the biggest bombs in business history. 584 00:32:34,560 --> 00:32:40,120 Speaker 1: Some high speed rail. Well, that's government history. Let's be 585 00:32:40,200 --> 00:32:43,240 Speaker 1: specific here. No. No, if Zuckerberg didn't have a controlling 586 00:32:43,280 --> 00:32:45,320 Speaker 1: interest in the company, if he had like a real 587 00:32:45,400 --> 00:32:47,120 Speaker 1: board of directors, he would have been he would have 588 00:32:47,120 --> 00:32:51,160 Speaker 1: been thrown out on the street. It because he has 589 00:32:52,280 --> 00:32:55,080 Speaker 1: enough control of the company. He can't get disciplined, he 590 00:32:55,120 --> 00:32:59,520 Speaker 1: can't pay any consequences. But he's destroying billions and billions 591 00:32:59,680 --> 00:33:04,479 Speaker 1: of dollars of wealth on an absurd idea. He did 592 00:33:04,560 --> 00:33:07,440 Speaker 1: it because he knew Facebook was over. They lost the 593 00:33:07,520 --> 00:33:11,080 Speaker 1: new generation. He did right. They were trying really hard 594 00:33:11,120 --> 00:33:12,960 Speaker 1: to compete with some of the other newer or younger 595 00:33:13,080 --> 00:33:16,120 Speaker 1: social media is like the TikTok's Yeah, and they think 596 00:33:16,160 --> 00:33:19,040 Speaker 1: that this was going to help compete with TikTok's avatar 597 00:33:19,280 --> 00:33:24,000 Speaker 1: digital universe. Social media is very much like music fashion. 598 00:33:24,720 --> 00:33:26,880 Speaker 1: You know, they're certain eras where certain kinds of music 599 00:33:26,920 --> 00:33:29,520 Speaker 1: and certain acts are very popular, and ten years later 600 00:33:29,840 --> 00:33:33,680 Speaker 1: nobody's heard. They're not heard from again. You know their 601 00:33:33,720 --> 00:33:37,920 Speaker 1: popularity is over because their audience ages out, and they'll 602 00:33:37,920 --> 00:33:39,800 Speaker 1: still show up at the oldie concert, but you're not 603 00:33:39,920 --> 00:33:43,120 Speaker 1: going to get the new generation to listen because that's 604 00:33:43,240 --> 00:33:45,880 Speaker 1: somebody else's music. It's not their music. Same thing here, 605 00:33:46,000 --> 00:33:50,360 Speaker 1: TikTok is the music for the current younger generation. Facebook 606 00:33:50,640 --> 00:33:54,240 Speaker 1: really is their parents music, right, I think I just 607 00:33:54,440 --> 00:33:57,880 Speaker 1: read that Snap is also laying off a whole bunch 608 00:33:57,880 --> 00:34:01,200 Speaker 1: of people. That's another one who time has passed. This Twitter, 609 00:34:01,720 --> 00:34:04,880 Speaker 1: Twitter's time has passed. That's a real niche thing. No 610 00:34:05,080 --> 00:34:07,959 Speaker 1: Elon's going to reinvent it. He's wasting his money too, 611 00:34:08,360 --> 00:34:11,040 Speaker 1: you think, so, Yeah, I know, I know. I remember 612 00:34:11,040 --> 00:34:12,960 Speaker 1: it's like four or five years ago he was talking 613 00:34:12,960 --> 00:34:16,040 Speaker 1: about Snapchat. You rarely even hear that anymore. Now everybody's 614 00:34:16,080 --> 00:34:18,080 Speaker 1: talking about TikTok. But you're right, it's day will come 615 00:34:18,120 --> 00:34:20,600 Speaker 1: and go. Yeah, TikTok now, and then ten years from now, 616 00:34:20,640 --> 00:34:23,040 Speaker 1: maybe it'll be something else. But don't you think they'll 617 00:34:23,040 --> 00:34:25,160 Speaker 1: be around. There'll just be a smaller Oh, they'll be 618 00:34:25,239 --> 00:34:28,440 Speaker 1: around user base, but right, Yeah, it's just with with 619 00:34:28,719 --> 00:34:33,439 Speaker 1: with tech stocks, you have to show big exponential growth 620 00:34:33,480 --> 00:34:36,240 Speaker 1: from year to year or the stock crashes and it beclaimed. 621 00:34:36,239 --> 00:34:39,719 Speaker 1: Fear became clear. Facebook is never growing again, so their 622 00:34:39,800 --> 00:34:43,800 Speaker 1: stock is down seventy percent, and that means Mark Zuckerberg 623 00:34:43,840 --> 00:34:46,040 Speaker 1: has lost about I don't know, seventy eighty billion dollars. 624 00:34:47,000 --> 00:34:49,880 Speaker 1: All right, when we come back, we will be dragging 625 00:34:49,920 --> 00:34:53,920 Speaker 1: out the tongue bath desk. This is dedicated to someone 626 00:34:54,040 --> 00:34:58,520 Speaker 1: who wrote about somebody. Usually it's a politician, and let's 627 00:34:58,600 --> 00:35:00,800 Speaker 1: just say they got a little too e zubrint about 628 00:35:00,840 --> 00:35:03,400 Speaker 1: just how great this person is. Johnny ken calf I 629 00:35:03,520 --> 00:35:06,440 Speaker 1: Am six forty live everywhere in the iHeartRadio app and 630 00:35:06,640 --> 00:35:08,840 Speaker 1: deb remark live in the twenty four hour Cafine Newsroom