1 00:00:00,080 --> 00:00:03,400 Speaker 1: Well, we'll be talking this hour about another politician who's 2 00:00:03,440 --> 00:00:07,080 Speaker 1: borrowed from the Gavin Knewsome playbook with the BS about 3 00:00:07,080 --> 00:00:10,480 Speaker 1: how red states have higher crime and murder rates. Find 4 00:00:10,480 --> 00:00:13,440 Speaker 1: out who it is and find out one awful thing 5 00:00:13,480 --> 00:00:17,480 Speaker 1: that just happened in this person's state because of their policies. 6 00:00:18,000 --> 00:00:21,040 Speaker 1: It's coming up later on this hour at twenty. The 7 00:00:21,200 --> 00:00:24,720 Speaker 1: final keyword of the day, Chance to you for you 8 00:00:24,800 --> 00:00:27,680 Speaker 1: to win that inflation bonus cash is coming on the 9 00:00:27,760 --> 00:00:30,520 Speaker 1: John and Ken Show. We've had Joseph Vranich on a 10 00:00:30,600 --> 00:00:34,920 Speaker 1: number of times. He's president of Spectrum Location Solutions, helps 11 00:00:35,479 --> 00:00:40,360 Speaker 1: companies move their headquarters into other states. He himself moved 12 00:00:40,400 --> 00:00:44,159 Speaker 1: out of California some years ago. Get this, and you know, 13 00:00:44,200 --> 00:00:46,479 Speaker 1: I'd like to see Newsom ask this. He was on 14 00:00:46,640 --> 00:00:52,920 Speaker 1: CBS yesterday bloviating about nonsense Pelosi attack here. Yeah, vran Yeah, 15 00:00:52,960 --> 00:00:55,920 Speaker 1: here's something that's actually really important to the average person. 16 00:00:56,040 --> 00:01:00,280 Speaker 1: Three hundred fifty two companies moved their headquarters out of 17 00:01:00,320 --> 00:01:04,600 Speaker 1: California between twenty eighteen and twenty twenty one. Three hundred 18 00:01:04,640 --> 00:01:09,440 Speaker 1: and fifty two, twice as many left last year than 19 00:01:09,520 --> 00:01:13,280 Speaker 1: twenty twenty three, times as many as twenty eighteen, they're 20 00:01:13,280 --> 00:01:17,679 Speaker 1: going to Texas, Tennessee, Nevada, Florida, Arizona. What's going on? 21 00:01:18,360 --> 00:01:20,479 Speaker 1: What's going on? I think we can guess. We've heard 22 00:01:20,520 --> 00:01:22,559 Speaker 1: the reasons over the years, but they continue to build. 23 00:01:22,680 --> 00:01:24,759 Speaker 1: Let's get Joe on and talk about it. Joe, how 24 00:01:24,760 --> 00:01:29,119 Speaker 1: are you? I'm signed, gentlemen, good to be with you again. Well, 25 00:01:29,240 --> 00:01:32,839 Speaker 1: you gave a great summary there of the findings, and 26 00:01:33,440 --> 00:01:36,440 Speaker 1: I have to say twenty twenty two is kind of 27 00:01:36,480 --> 00:01:39,920 Speaker 1: looking like twenty twenty one. Is that I'm getting pinged. Oh, 28 00:01:40,040 --> 00:01:44,240 Speaker 1: I'm getting pinged every other day with companies leading here, 29 00:01:44,920 --> 00:01:48,160 Speaker 1: here's the serious thing about headquarters. When they leave, the 30 00:01:48,320 --> 00:01:51,080 Speaker 1: headquarters are where the c suite is, you know, chief 31 00:01:51,120 --> 00:01:55,279 Speaker 1: executive officers, chief financial blah blah blah. When those people 32 00:01:55,360 --> 00:02:01,480 Speaker 1: and their top assistance lead the biggest compensation compensated employees, 33 00:02:01,560 --> 00:02:05,080 Speaker 1: we're moving to other states. This is not good at 34 00:02:05,120 --> 00:02:11,760 Speaker 1: all for California. And we're talking we're talking major companies here. McKesson, Tesla, Oracle, 35 00:02:12,280 --> 00:02:18,240 Speaker 1: HP CBRB left Los Angeles, for example, for Dallas. Charles 36 00:02:18,320 --> 00:02:22,160 Speaker 1: Schwab left San Francisco for Westlake, which is near Houston. 37 00:02:22,880 --> 00:02:26,640 Speaker 1: But my colleagues, my peers and the site selection business 38 00:02:26,680 --> 00:02:30,560 Speaker 1: agree with me that basically we know only of one 39 00:02:30,800 --> 00:02:34,840 Speaker 1: out of every five companies that leave, and they agree, 40 00:02:34,919 --> 00:02:37,960 Speaker 1: and that's because a lot of these companies are small. 41 00:02:38,320 --> 00:02:41,400 Speaker 1: They're not required to file reports with the Securities and 42 00:02:41,520 --> 00:02:47,280 Speaker 1: Exchange Commission or with Sacramento agencies. So it's not an 43 00:02:47,320 --> 00:02:51,080 Speaker 1: exaggeration for me to say that in twenty twenty one, 44 00:02:51,120 --> 00:02:55,360 Speaker 1: the record officially shows my record one hundred and fifty 45 00:02:55,360 --> 00:02:59,480 Speaker 1: three company exits for headquarters. If we multiply that by five, 46 00:02:59,520 --> 00:03:03,440 Speaker 1: that's called to eight hundred companies that left, many of 47 00:03:03,440 --> 00:03:07,480 Speaker 1: them small and will never know their names. Any companies 48 00:03:07,520 --> 00:03:11,799 Speaker 1: coming here, You guys don't track that well, there are. 49 00:03:12,639 --> 00:03:16,040 Speaker 1: Governor Newsom has laid out a will barrel full of 50 00:03:16,160 --> 00:03:21,520 Speaker 1: money to lure in green companies. You know, he's so green, green, green. 51 00:03:22,440 --> 00:03:24,680 Speaker 1: So yeah, some of those companies are moving in, but 52 00:03:24,720 --> 00:03:27,840 Speaker 1: they're pretty much offset by the losses. And by the 53 00:03:27,840 --> 00:03:31,600 Speaker 1: way the losses if we look at the losses by county, 54 00:03:32,000 --> 00:03:37,120 Speaker 1: Los Angeles leads the pack, losing eighty in that time 55 00:03:37,160 --> 00:03:40,720 Speaker 1: period from twenty eighteen to twenty twenty one. But here's 56 00:03:40,720 --> 00:03:45,400 Speaker 1: the interesting thing. San Francisco, which is a County, Santa Clara, 57 00:03:45,560 --> 00:03:49,160 Speaker 1: San Mateo. All of this is home to Silicon Valley 58 00:03:49,160 --> 00:03:52,920 Speaker 1: companies and a lot of these emerging high tech companies. 59 00:03:53,320 --> 00:03:57,360 Speaker 1: They're leaving for the research triangle in North Carolina, for Dallas, 60 00:03:57,480 --> 00:04:01,640 Speaker 1: for Houston, and the number are pretty big. So it's 61 00:04:01,960 --> 00:04:05,040 Speaker 1: not just the old legacy companies that are leaving, but 62 00:04:05,240 --> 00:04:08,720 Speaker 1: a lot of these startups, which really can bring about 63 00:04:08,840 --> 00:04:12,120 Speaker 1: great fortunes in the futures should they hit it big. 64 00:04:12,360 --> 00:04:16,160 Speaker 1: The Wall Street Journal article about your report says that 65 00:04:16,200 --> 00:04:20,800 Speaker 1: there's an electric vehicle startup and Virotech vehicles. They left 66 00:04:20,800 --> 00:04:25,000 Speaker 1: here and went to Arkansas. A lithium recycling firm, Aqua Metals, 67 00:04:25,000 --> 00:04:31,040 Speaker 1: went off to Nevada. These are green energy companies and right, 68 00:04:31,120 --> 00:04:36,640 Speaker 1: and they're part, they're only part of what's leading or left. 69 00:04:36,680 --> 00:04:41,919 Speaker 1: We look at the industries manufacturing, aerospace, financial services, even 70 00:04:42,080 --> 00:04:46,520 Speaker 1: real estate like CBRE left for Texas, chemicals, healthcare. You go. 71 00:04:46,800 --> 00:04:50,480 Speaker 1: You could just go down the list of various industries 72 00:04:50,520 --> 00:04:53,600 Speaker 1: and you could find companies in each one of them 73 00:04:53,600 --> 00:04:56,640 Speaker 1: that have left for greener pastures. And oh, by the way, 74 00:04:56,760 --> 00:04:59,720 Speaker 1: I've been doing these studies for ten years. Texas has 75 00:04:59,760 --> 00:05:02,680 Speaker 1: been the number one location for ten years in a row. 76 00:05:03,000 --> 00:05:05,479 Speaker 1: They don't pay me to promote them. I just report 77 00:05:05,520 --> 00:05:11,280 Speaker 1: the facts. Tennessee has skyrocketed in popularity, one reason being 78 00:05:11,320 --> 00:05:15,640 Speaker 1: they lowered their taxes. And other states that are doing 79 00:05:15,680 --> 00:05:19,400 Speaker 1: well also happen to be red states Florida, North Carolina, Kentucky. 80 00:05:19,920 --> 00:05:23,720 Speaker 1: So these states that go easier on taxes and are 81 00:05:23,800 --> 00:05:29,280 Speaker 1: merciful in their regulatory environment, they're just cleaning up with California. 82 00:05:29,320 --> 00:05:34,479 Speaker 1: Companies moving there. Talk about the regulations. The taxes are obvious, 83 00:05:34,560 --> 00:05:37,960 Speaker 1: that's why they get out. But apparently the regulations are 84 00:05:38,440 --> 00:05:43,200 Speaker 1: choking these companies. It describe some of the regulations that 85 00:05:43,240 --> 00:05:47,560 Speaker 1: make them want to leave. Well, i'll tell you. I'll 86 00:05:47,600 --> 00:05:49,760 Speaker 1: give you an idea, but I'll start off with one. 87 00:05:50,120 --> 00:05:52,240 Speaker 1: And when I give speeches, and when I tell this 88 00:05:52,360 --> 00:05:56,359 Speaker 1: in speeches during my speeches, people in the audience actually gasp. 89 00:05:57,120 --> 00:06:00,000 Speaker 1: They're in California. You can be sued for a type 90 00:06:00,160 --> 00:06:03,640 Speaker 1: on your paycheck stub. And I'm not kidding you. It's 91 00:06:03,640 --> 00:06:09,000 Speaker 1: called paycheck stub abuse. Thank you litigation lawyers in California 92 00:06:09,120 --> 00:06:12,279 Speaker 1: for ramming this through the legislature. So there was a 93 00:06:12,279 --> 00:06:14,679 Speaker 1: company I can't remember the name, let's call them Smith 94 00:06:14,800 --> 00:06:18,360 Speaker 1: and Company, but their real name was Smith and Company Incorporated. 95 00:06:18,760 --> 00:06:22,160 Speaker 1: They left incorporated off the paycheck stub. They got sued, 96 00:06:22,240 --> 00:06:24,880 Speaker 1: they decided to fight it. They lost in court, and 97 00:06:24,960 --> 00:06:27,840 Speaker 1: nobody in your audience has to believe me. You can 98 00:06:27,920 --> 00:06:31,560 Speaker 1: go on Google, look up the paycheck stub abuse and 99 00:06:31,560 --> 00:06:36,080 Speaker 1: you'll see a law firm that specializes in defending companies. 100 00:06:36,520 --> 00:06:40,080 Speaker 1: But there are big or bigger ones than that. You 101 00:06:40,120 --> 00:06:45,240 Speaker 1: know there's California has created a set of labor laws 102 00:06:45,279 --> 00:06:49,360 Speaker 1: that make it the forty ninth in ranking the next 103 00:06:49,440 --> 00:06:52,919 Speaker 1: worst in the whole country. The only state that's worse 104 00:06:52,960 --> 00:06:58,520 Speaker 1: than California is Washington State. And there are just so 105 00:06:58,560 --> 00:07:01,960 Speaker 1: many ways in which individ jewels and employees can sue 106 00:07:02,080 --> 00:07:05,960 Speaker 1: companies over some of the most trivial things that companies 107 00:07:06,000 --> 00:07:10,119 Speaker 1: wind up agreeing to resolve the arguments so they don't 108 00:07:10,200 --> 00:07:14,720 Speaker 1: have to face the lawyer costs of arguing in court. 109 00:07:16,000 --> 00:07:18,160 Speaker 1: All right, Joe, always a pleasure to speak with you. 110 00:07:18,320 --> 00:07:20,880 Speaker 1: Thanks for coming on and putting out this latest report. 111 00:07:22,640 --> 00:07:29,120 Speaker 1: Glad to help the poor businesspeople of California. Yet yeah, 112 00:07:29,160 --> 00:07:32,040 Speaker 1: and is sounding the alarm for a long time. Spectrum 113 00:07:32,120 --> 00:07:36,320 Speaker 1: Location Solutions President Joseph Franitz thanks for coming on, Thank you. 114 00:07:36,720 --> 00:07:39,160 Speaker 1: And this is a report out of the Hoover Institution. 115 00:07:39,280 --> 00:07:41,160 Speaker 1: He put it out along with a senior fellow named 116 00:07:41,240 --> 00:07:43,800 Speaker 1: Leo Hanian. And it's like the way the journal puts this, 117 00:07:44,520 --> 00:07:46,400 Speaker 1: What do these states have in common that are taking 118 00:07:46,400 --> 00:07:49,800 Speaker 1: the California companies low taxes, lower cost of living, but 119 00:07:49,920 --> 00:07:54,160 Speaker 1: also burden some overtime work rules, litigation risk, high costs 120 00:07:54,160 --> 00:07:58,600 Speaker 1: for labor and workers' comp insurance, oppressive taxes, surging electricity rates, 121 00:07:58,720 --> 00:08:03,000 Speaker 1: a permitting morass, diminishing quality of life, lousy public schools, 122 00:08:03,000 --> 00:08:06,120 Speaker 1: and exorbitant housing that make it difficult to retain employees. 123 00:08:07,200 --> 00:08:10,400 Speaker 1: Just for starters, just off the top, by the way, 124 00:08:10,440 --> 00:08:14,560 Speaker 1: I did google stub abuse and the first thing you 125 00:08:14,600 --> 00:08:17,720 Speaker 1: get is a law firm paste up violations and penalties 126 00:08:17,760 --> 00:08:22,600 Speaker 1: in California labor law accident until paste up violations create liability. 127 00:08:23,360 --> 00:08:27,800 Speaker 1: New law gives California employers limited right to fix paste 128 00:08:27,840 --> 00:08:31,160 Speaker 1: up violations. Oh there's a website. I'm not gonna say 129 00:08:31,160 --> 00:08:33,400 Speaker 1: which one that I look at each day. They are 130 00:08:33,440 --> 00:08:36,120 Speaker 1: obsessed with. They call it the category of stolen wages. 131 00:08:36,920 --> 00:08:39,000 Speaker 1: They think they're just a players out there left and right, 132 00:08:39,080 --> 00:08:42,280 Speaker 1: stealing wages. For employees. That is the new progressive buzzword 133 00:08:42,559 --> 00:08:44,960 Speaker 1: that I never heard of in my life until a 134 00:08:44,960 --> 00:08:49,640 Speaker 1: few months ago, and now I'm hearing it every week. Yeah, 135 00:08:49,679 --> 00:08:53,120 Speaker 1: it's amazing how these these words catch fire, these phrases. 136 00:08:53,480 --> 00:08:57,200 Speaker 1: It's almost like they they they they're all interconnected. I 137 00:08:57,200 --> 00:08:59,080 Speaker 1: guess on the internet, and they all get they all 138 00:08:59,120 --> 00:09:01,160 Speaker 1: get the talking breaks through. People see that, and so 139 00:09:01,320 --> 00:09:05,320 Speaker 1: that's terrible. Yeah, stealing somebody's wages. You know, under the law, 140 00:09:05,800 --> 00:09:10,160 Speaker 1: there's no violation, there's I'm sorry, there's no requirement that 141 00:09:10,280 --> 00:09:17,360 Speaker 1: a stub abuse violation be knowing and voluntary and in 142 00:09:17,520 --> 00:09:20,559 Speaker 1: other words, in other words, it could just be an accident, 143 00:09:21,280 --> 00:09:24,560 Speaker 1: like somebody making a typo and then you're subject to 144 00:09:25,800 --> 00:09:29,400 Speaker 1: a lawsuit over it. All right, as soon as we return, 145 00:09:29,760 --> 00:09:32,120 Speaker 1: you'll get the final keyword of the day to possibly 146 00:09:32,160 --> 00:09:35,440 Speaker 1: win that inflation bonus cash. You follow the instructions that 147 00:09:35,520 --> 00:09:39,280 Speaker 1: John will read after that. There's a few more details 148 00:09:39,280 --> 00:09:42,040 Speaker 1: that have come out about this attacker of Paul Pelosi. 149 00:09:42,520 --> 00:09:45,200 Speaker 1: He did appear in court today to face state charges, 150 00:09:45,600 --> 00:09:48,440 Speaker 1: so a little more information is leaked out about his 151 00:09:48,559 --> 00:09:52,360 Speaker 1: other plans besides getting to Nancy Pelosi. John and Ken 152 00:09:52,440 --> 00:09:55,319 Speaker 1: kf I am six forty live everywhere on the iHeart 153 00:09:55,360 --> 00:09:58,200 Speaker 1: Radio app. A couple of things. It is World Vegan Day, 154 00:09:58,280 --> 00:10:01,800 Speaker 1: so Debora Mark is celebrating. Um, I just had some 155 00:10:01,920 --> 00:10:05,880 Speaker 1: cheese and little egg whites. Thank you. Oh well, but 156 00:10:05,960 --> 00:10:08,440 Speaker 1: that's that's not that's not in celebration of a World 157 00:10:08,559 --> 00:10:11,200 Speaker 1: Vegan Day. I didn't have meat. Yeah, I know, but 158 00:10:11,320 --> 00:10:13,760 Speaker 1: you you need to have You're not You're not getting. 159 00:10:13,760 --> 00:10:16,439 Speaker 1: You can't die people meet and dairy. That's just impossible. 160 00:10:16,840 --> 00:10:21,839 Speaker 1: And it's World Vegan Day. John celebrated by staring at 161 00:10:21,840 --> 00:10:25,000 Speaker 1: an apple. You can see a picture of John on 162 00:10:25,760 --> 00:10:28,840 Speaker 1: John and Ken Instagram and Facebook and Twitter feeds and 163 00:10:28,880 --> 00:10:31,240 Speaker 1: my personal ones as well. John he did not eat 164 00:10:31,280 --> 00:10:34,080 Speaker 1: the apple. He just held it, did he. He looked 165 00:10:34,080 --> 00:10:38,000 Speaker 1: at it like it was a grenade. Actually I stole 166 00:10:38,000 --> 00:10:39,600 Speaker 1: that from a listener, but I thought it was. It 167 00:10:39,679 --> 00:10:42,000 Speaker 1: was a good description of your face. And I think 168 00:10:42,000 --> 00:10:43,880 Speaker 1: he's holding it up like the host on the altar. 169 00:10:45,480 --> 00:10:47,560 Speaker 1: I'm keeping it at arm's length. I don't want to 170 00:10:47,559 --> 00:10:49,559 Speaker 1: get too near it. And I want you to send 171 00:10:49,600 --> 00:10:52,080 Speaker 1: me that article where you got that hundred million people 172 00:10:52,120 --> 00:10:55,319 Speaker 1: that are not working in the reasons. Yes, what was 173 00:10:55,360 --> 00:10:57,960 Speaker 1: the source of that. I don't know how obsessed I 174 00:10:57,960 --> 00:11:00,360 Speaker 1: am with this, and I know, I know you'd like investing. 175 00:11:00,440 --> 00:11:01,920 Speaker 1: I see people all the time and I wonder what 176 00:11:01,920 --> 00:11:04,240 Speaker 1: they're doing all day? What is it? Well, it's on 177 00:11:04,320 --> 00:11:07,280 Speaker 1: the investing dot com site, but it's a Bloomberg news story. 178 00:11:07,440 --> 00:11:10,520 Speaker 1: Oh it's a Bloomberg news story. Yeah. Yeah, yeah, it's 179 00:11:10,520 --> 00:11:13,160 Speaker 1: just well, send it to you it broke out. I mean, 180 00:11:13,200 --> 00:11:15,120 Speaker 1: some of the people are retired, which I think is 181 00:11:15,120 --> 00:11:18,080 Speaker 1: a separate category. But I'm fascinated by the people that 182 00:11:18,120 --> 00:11:20,080 Speaker 1: are a working age and are not really retired. But 183 00:11:20,120 --> 00:11:22,320 Speaker 1: why they're not working at What they're living off of 184 00:11:22,400 --> 00:11:25,040 Speaker 1: is what was in there. It's over fifty million people 185 00:11:25,160 --> 00:11:30,439 Speaker 1: not working and not retired, and they are living off 186 00:11:30,480 --> 00:11:32,160 Speaker 1: of what you thought they were living off of. Either 187 00:11:32,200 --> 00:11:34,480 Speaker 1: they're borrowing, or they're living off the government checks, or 188 00:11:34,480 --> 00:11:40,600 Speaker 1: they're credit cards, loans, money from their family, family savings. Yeah, right, 189 00:11:40,640 --> 00:11:44,079 Speaker 1: if they have any any other way to get money. Uh, 190 00:11:45,240 --> 00:11:48,520 Speaker 1: that's what they're living off of. They when you're doing that, right, 191 00:11:48,520 --> 00:11:51,520 Speaker 1: when you're actually running up debt or you're shrinking your 192 00:11:51,559 --> 00:11:56,920 Speaker 1: assets before you've retired, it means you don't want to work. Yeah, 193 00:11:56,920 --> 00:11:59,920 Speaker 1: it's like financial suicide. Yeah, yeah, and you know you're 194 00:12:00,120 --> 00:12:03,240 Speaker 1: you're gonna and then when that happens, we're gonna be told, 195 00:12:03,240 --> 00:12:07,640 Speaker 1: look at that. They're they're in poverty, they're homeless, they're destitute. 196 00:12:07,640 --> 00:12:11,040 Speaker 1: We must do something. Their food insecure, Yet their food insecure, 197 00:12:11,160 --> 00:12:15,440 Speaker 1: it's like no housing insecure. How much of that nobody ever, 198 00:12:15,480 --> 00:12:17,920 Speaker 1: I've never seen a story on this. How many people 199 00:12:18,360 --> 00:12:22,400 Speaker 1: do you see and they're they're unemployed or unhoused or 200 00:12:22,400 --> 00:12:24,800 Speaker 1: whatever euphemism what you want to use. How much of 201 00:12:24,800 --> 00:12:27,720 Speaker 1: it is self inflicted? How much of it because they 202 00:12:27,840 --> 00:12:32,400 Speaker 1: did stupid things? And a few details came out today 203 00:12:32,400 --> 00:12:34,600 Speaker 1: in the court appearance of the man that's accused of 204 00:12:34,640 --> 00:12:39,559 Speaker 1: attacking Paul Pelosi at the Pelosi home in San Francisco, 205 00:12:40,040 --> 00:12:42,880 Speaker 1: Brian de Peppi. I can never remember how we're supposed 206 00:12:42,880 --> 00:12:46,719 Speaker 1: to pronounce it. One thing he supposedly told cops and 207 00:12:46,800 --> 00:12:49,760 Speaker 1: medics who arrived at the scene. I'm sick of the insane, 208 00:12:49,800 --> 00:12:52,880 Speaker 1: bleeping level of lies coming out of Washington, DC. I 209 00:12:53,000 --> 00:12:55,000 Speaker 1: came here to have a little chat with his wife. 210 00:12:55,520 --> 00:12:57,480 Speaker 1: I didn't really want to hurt him, but you know, 211 00:12:57,960 --> 00:13:02,120 Speaker 1: this was a suicide mission. He does have a public defender, 212 00:13:02,160 --> 00:13:05,880 Speaker 1: apparently a well known Adam Lipson, a veteran deputy public defender, 213 00:13:06,520 --> 00:13:10,840 Speaker 1: said that his clients suffered a dislocated shoulder during his arrest. 214 00:13:11,240 --> 00:13:14,040 Speaker 1: Don't you feel sad? Lipson said, We're going to look 215 00:13:14,040 --> 00:13:20,200 Speaker 1: into his mental state now. He was denied bail, but 216 00:13:20,440 --> 00:13:22,240 Speaker 1: there's already a federal hold on him him, so it 217 00:13:22,240 --> 00:13:24,319 Speaker 1: doesn't want to matter what they did with the state 218 00:13:24,440 --> 00:13:27,959 Speaker 1: charges today. The Feds have already are holding him with 219 00:13:28,000 --> 00:13:32,920 Speaker 1: no bail. They charged him yesterday. So besides attempted murder, 220 00:13:33,160 --> 00:13:36,480 Speaker 1: residential burglary, assault with a deadly weapon, elder abuse, false 221 00:13:36,520 --> 00:13:39,120 Speaker 1: impresident of an elder, threats to a public official in 222 00:13:39,160 --> 00:13:42,320 Speaker 1: their family, he faces thirteen years to life if convicted 223 00:13:42,320 --> 00:13:44,600 Speaker 1: of all local charges, but then we have the federal 224 00:13:44,600 --> 00:13:48,000 Speaker 1: assault and kidnapping charges on top of that. One of 225 00:13:48,040 --> 00:13:53,160 Speaker 1: the other little details that came out today is that 226 00:13:53,240 --> 00:13:57,960 Speaker 1: he apparently did have his own little hit list of 227 00:13:58,320 --> 00:14:04,920 Speaker 1: other politicians that he was targeting, and it doesn't have 228 00:14:05,160 --> 00:14:10,920 Speaker 1: an exact list of names, but it's apparently state and 229 00:14:11,040 --> 00:14:16,120 Speaker 1: local officials that he also felt had to be confronted. 230 00:14:16,679 --> 00:14:18,760 Speaker 1: I guess Pelosi was just first on the list, and 231 00:14:19,480 --> 00:14:21,160 Speaker 1: since that didn't go the way I think he wanted 232 00:14:21,160 --> 00:14:23,480 Speaker 1: it to go. Wonder who was on the rest of 233 00:14:23,480 --> 00:14:29,000 Speaker 1: the list. You wonder, this being California, that could be 234 00:14:29,040 --> 00:14:34,360 Speaker 1: a long list. You know. They talked to a number 235 00:14:34,360 --> 00:14:40,080 Speaker 1: of people who lived in the neighborhood. Marjorie Campbell was 236 00:14:40,280 --> 00:14:47,720 Speaker 1: Pelosi's neighbor for ten years, and she says sometimes in 237 00:14:47,760 --> 00:14:55,120 Speaker 1: the neighborhood their electrical equipment would malfunction because the government 238 00:14:55,160 --> 00:14:59,480 Speaker 1: would jam a signal to prevent spying on Nancy Pelosi. 239 00:15:00,920 --> 00:15:04,240 Speaker 1: Everyone in our neighborhood had alarms on our windows, so 240 00:15:04,280 --> 00:15:08,040 Speaker 1: if a glass smashed, an alarm went off. They don't 241 00:15:08,120 --> 00:15:11,640 Speaker 1: understand why Paul Poloshy didn't have an alarm that was operating. 242 00:15:14,960 --> 00:15:17,920 Speaker 1: There's also quotes from Gavin de Becker, who's one of 243 00:15:18,000 --> 00:15:20,680 Speaker 1: the most famous security consultants we've had. Remember we had 244 00:15:20,760 --> 00:15:23,080 Speaker 1: him on the show years ago. He had a book out. 245 00:15:24,720 --> 00:15:30,440 Speaker 1: He said, unacceptable security planning, poor physical security on the premises, 246 00:15:30,480 --> 00:15:33,120 Speaker 1: as well as procedures in case of an attack or threat, 247 00:15:33,440 --> 00:15:39,160 Speaker 1: a lack of security technology cameras, infrared motion detectors. He 248 00:15:39,160 --> 00:15:41,520 Speaker 1: said he was surprised there was no security. There seems 249 00:15:41,560 --> 00:15:44,760 Speaker 1: to be a general failure. You know, he's into the 250 00:15:44,840 --> 00:15:49,720 Speaker 1: right wing terrorism angle. He doesn't he doesn't understand somebody 251 00:15:49,760 --> 00:15:54,480 Speaker 1: of their stature that would not have, you know, a 252 00:15:54,600 --> 00:16:01,760 Speaker 1: real serious security system. All Right, when we come back, 253 00:16:02,640 --> 00:16:05,480 Speaker 1: we're gonna talk about somebody that's borrowed from the playbook 254 00:16:05,480 --> 00:16:09,200 Speaker 1: of Gavin Newsom. New York Governor Kathy Holkl who may 255 00:16:09,200 --> 00:16:12,720 Speaker 1: be on her way out in the coming election. Once again, 256 00:16:12,880 --> 00:16:14,640 Speaker 1: she did it during a debate last week. She kind 257 00:16:14,640 --> 00:16:17,600 Speaker 1: of doubled down in a recent interview on MSNBC that 258 00:16:17,720 --> 00:16:19,840 Speaker 1: she thinks the Republicans are making up all this stuff 259 00:16:19,840 --> 00:16:23,680 Speaker 1: about rising crime. It's a conspiracy. We'll play you the clip, 260 00:16:24,040 --> 00:16:26,280 Speaker 1: talk about it, and then give you an amazing, awful 261 00:16:26,320 --> 00:16:29,320 Speaker 1: story that just came out today in New York thanks 262 00:16:29,360 --> 00:16:31,400 Speaker 1: to the fact that, just like us, they got rid 263 00:16:31,440 --> 00:16:33,680 Speaker 1: of bail in a lot of cases, Bill Bail, Johnny 264 00:16:33,720 --> 00:16:35,760 Speaker 1: Ken caf I AM six forty live everywhere on the 265 00:16:35,800 --> 00:16:38,280 Speaker 1: iHeartRadio app. Ninety two percent of households that start the 266 00:16:38,400 --> 00:16:42,400 Speaker 1: year with Peloton are still active a year later because 267 00:16:42,440 --> 00:16:46,040 Speaker 1: of a bike. Not just spikes, we also make treadmills 268 00:16:46,040 --> 00:16:48,240 Speaker 1: and roars. Oh, let me gusk for a lead athlete's 269 00:16:48,280 --> 00:16:51,160 Speaker 1: owning right. Nope, it doesn't matter. If you're an avid 270 00:16:51,200 --> 00:16:54,000 Speaker 1: exerciser or new to working out, Peloton can help you 271 00:16:54,040 --> 00:16:57,240 Speaker 1: achieve your fitness goals. Stick with it. So can you 272 00:16:57,400 --> 00:17:00,320 Speaker 1: try Peloton Bikes, tread or row risk free with the 273 00:17:00,320 --> 00:17:02,800 Speaker 1: thirty day home trial. New members only. Not available in 274 00:17:02,800 --> 00:17:05,520 Speaker 1: remote locations. See additional terms at one peloton dot com 275 00:17:05,520 --> 00:17:08,440 Speaker 1: slash Home desh Trial. All right, well you're probably feeling it. Okay, 276 00:17:08,440 --> 00:17:12,120 Speaker 1: the World Series has resumed, yes, after last night's rain 277 00:17:12,160 --> 00:17:15,119 Speaker 1: out last night. Won't give the score. People don't want 278 00:17:15,160 --> 00:17:17,840 Speaker 1: another score. No, they're rolling in the second inning. But 279 00:17:17,920 --> 00:17:19,879 Speaker 1: it's you know, I will tell you there is a score. 280 00:17:23,000 --> 00:17:25,280 Speaker 1: Very good. I just loved you, all right, there is 281 00:17:25,320 --> 00:17:29,600 Speaker 1: a score. There is a score or two. Yeah, anyway. 282 00:17:30,680 --> 00:17:34,440 Speaker 1: A couple of things this hour on Monday, and John 283 00:17:35,000 --> 00:17:37,640 Speaker 1: really looks forward to this even more than the moist line. 284 00:17:38,000 --> 00:17:42,920 Speaker 1: It's the Hour of Candidates next Monday, November seventh. This 285 00:17:43,119 --> 00:17:45,879 Speaker 1: five pm hour we turn over to you. If you're 286 00:17:45,960 --> 00:17:49,199 Speaker 1: running for office, you get thirty seconds. So if you 287 00:17:49,240 --> 00:17:53,160 Speaker 1: know anybody that's running for office, tell them to come here. 288 00:17:53,720 --> 00:17:56,280 Speaker 1: Line up. We don't really open the phones until just 289 00:17:56,359 --> 00:18:00,359 Speaker 1: after the five o'clock hour begins the old KFI phone number. 290 00:18:00,359 --> 00:18:02,520 Speaker 1: I loathe to give it out now because people just 291 00:18:02,520 --> 00:18:07,119 Speaker 1: start calling I'm running for Monday at five o'clock. We 292 00:18:07,160 --> 00:18:09,840 Speaker 1: have the lines jams. Oh, they usually do put them 293 00:18:09,840 --> 00:18:12,520 Speaker 1: all on hold, don't they. Well it's one eight hundred 294 00:18:12,560 --> 00:18:15,760 Speaker 1: five two zero one five three four. It's not the 295 00:18:15,800 --> 00:18:17,720 Speaker 1: Moist line. It's a different line. Because a woman called 296 00:18:17,760 --> 00:18:19,960 Speaker 1: the Moist line to leave it. Well, she left a 297 00:18:20,000 --> 00:18:23,280 Speaker 1: message wanting us to interview her for running for Assembly. 298 00:18:23,320 --> 00:18:26,439 Speaker 1: I think if we did that, we'd be taken up 299 00:18:26,480 --> 00:18:30,800 Speaker 1: the next two weeks and nobody would care. I did 300 00:18:30,800 --> 00:18:32,760 Speaker 1: get a pitch, though, from a woman who wants to 301 00:18:32,760 --> 00:18:35,040 Speaker 1: put on a guy that wants to argue for that 302 00:18:35,720 --> 00:18:39,240 Speaker 1: special LA tax John on property sales, the one that's 303 00:18:39,240 --> 00:18:43,280 Speaker 1: supposed to build homeless housing. Oh, for god's sakes, yeah, 304 00:18:43,280 --> 00:18:45,960 Speaker 1: that's a big tax. It's the wealthy. I wear a 305 00:18:46,040 --> 00:18:48,440 Speaker 1: no on it. But she just she still thinks that 306 00:18:48,560 --> 00:18:50,040 Speaker 1: the s guy. She wants to put them on to 307 00:18:50,119 --> 00:18:53,120 Speaker 1: make the argument. And at the bottom her sign off 308 00:18:54,000 --> 00:18:57,760 Speaker 1: was the old her set her slash sheet, so she 309 00:18:57,800 --> 00:19:01,000 Speaker 1: gave her pronounce. Oh I don't want to talk to 310 00:19:01,760 --> 00:19:09,280 Speaker 1: pronoun people all right, I don't care what to him mind. 311 00:19:12,200 --> 00:19:15,560 Speaker 1: The governor of New York for now is Kathy Hokel. 312 00:19:16,200 --> 00:19:19,480 Speaker 1: She took over for the disgraced Andrew Cuomo after he 313 00:19:19,600 --> 00:19:22,960 Speaker 1: left office she was lieutenant governor. She faces her own 314 00:19:22,960 --> 00:19:27,320 Speaker 1: election next Tuesday. The latest poll is showing that her 315 00:19:27,320 --> 00:19:33,800 Speaker 1: Republican opponent, Lee Zelden, well marginally overtaken her. She is 316 00:19:33,920 --> 00:19:37,800 Speaker 1: on a crash course for disaster because she is refusing 317 00:19:37,840 --> 00:19:39,880 Speaker 1: to admit, despite the stories coming out of New York 318 00:19:39,920 --> 00:19:42,680 Speaker 1: and other places in that state, that crime's a problem. 319 00:19:42,760 --> 00:19:44,639 Speaker 1: Do you know what she said to Lee Zelden in 320 00:19:44,680 --> 00:19:47,960 Speaker 1: their debate, which I couldn't believe. And this is gonna 321 00:19:48,000 --> 00:19:51,200 Speaker 1: haunt her. And when we tell you this story, you'll 322 00:19:51,240 --> 00:19:55,040 Speaker 1: see why it would haunt her. She told Zelden focused 323 00:19:55,040 --> 00:19:57,840 Speaker 1: the debate on crime, he hammered that home for an hour, 324 00:19:58,320 --> 00:20:02,080 Speaker 1: and hope he got attacked, HOCl. Yeah, he personally was, 325 00:20:01,880 --> 00:20:05,080 Speaker 1: but it was attacked to the campaign trap with a knife. Well, 326 00:20:05,200 --> 00:20:08,920 Speaker 1: Hoko got exasperated with Zelden and finally said, I don't 327 00:20:08,920 --> 00:20:13,440 Speaker 1: know why that's so important to you, meaning his complaints 328 00:20:13,480 --> 00:20:16,600 Speaker 1: about crime. I don't know why that's so important to you, 329 00:20:16,760 --> 00:20:20,920 Speaker 1: to you yeah, and he actually been the victim of 330 00:20:21,600 --> 00:20:26,159 Speaker 1: a knife attack. Well, here she is doubling down on 331 00:20:26,200 --> 00:20:29,600 Speaker 1: that on MSNBC. I think it's Al Sharpton's show. Let's 332 00:20:29,640 --> 00:20:33,639 Speaker 1: listen to this Ravenel. These are master manipulators. They have 333 00:20:33,800 --> 00:20:36,840 Speaker 1: this conspiracy going all across to America to try and 334 00:20:36,880 --> 00:20:40,560 Speaker 1: convince people that in Democratic states they're not as safe. Well, 335 00:20:40,600 --> 00:20:45,080 Speaker 1: guess what, they're also not only election deniers, their data deniers. 336 00:20:45,160 --> 00:20:48,720 Speaker 1: The data shows that shootings and murders are down in 337 00:20:48,800 --> 00:20:51,800 Speaker 1: our state by fifteen percent, even in New York City, 338 00:20:52,080 --> 00:20:55,000 Speaker 1: down twenty percent on Long Island, where Lee Zelden comes from. 339 00:20:55,400 --> 00:20:59,080 Speaker 1: And it's it's it's the Republican states where they have 340 00:20:59,240 --> 00:21:02,919 Speaker 1: almost no restrictions on guns. Because of the abundance of guns, 341 00:21:03,119 --> 00:21:05,800 Speaker 1: people are killing each other with more frequency. The safer 342 00:21:05,800 --> 00:21:10,280 Speaker 1: places are the Democratic state. Well just is from the 343 00:21:10,320 --> 00:21:13,800 Speaker 1: Gavin Newsom playbook, or a Newsom called in America's Red 344 00:21:13,840 --> 00:21:17,320 Speaker 1: state murder problem. But you know we talked about this 345 00:21:17,320 --> 00:21:20,600 Speaker 1: when Newsom said it. A researcher with the Manhattan Institute, 346 00:21:20,680 --> 00:21:25,280 Speaker 1: Rafael Mangual, actually did the digging into the numbers, and 347 00:21:25,320 --> 00:21:28,720 Speaker 1: he said the deception there is that red states often 348 00:21:28,800 --> 00:21:33,480 Speaker 1: have big blue led cities in them, like New Orleans, Louisiana, 349 00:21:33,840 --> 00:21:38,560 Speaker 1: Baton Rouge, Louisiana, Shreveport, Louisiana. Louisiana is a red state, 350 00:21:38,800 --> 00:21:41,720 Speaker 1: but those are Democrat run cities, and those are the 351 00:21:41,760 --> 00:21:44,800 Speaker 1: ones where all the murders are occurring. Jackson, Mississippi, was 352 00:21:44,800 --> 00:21:49,000 Speaker 1: another example. Mississippi is a red state, but the city 353 00:21:49,040 --> 00:21:51,480 Speaker 1: of Jackson is led by Democrats, and that's where all 354 00:21:51,480 --> 00:21:53,879 Speaker 1: the crimes coming from. And so this is where you 355 00:21:53,960 --> 00:21:57,240 Speaker 1: know they're trying to throw you on here. And most 356 00:21:57,280 --> 00:21:59,680 Speaker 1: of the guns are owned by law abiding citizens who 357 00:21:59,720 --> 00:22:03,320 Speaker 1: never amid crimes. The people who are shooting each other 358 00:22:03,359 --> 00:22:08,240 Speaker 1: in the cities often have illegal guns, stolen guns, ghost guns. 359 00:22:09,080 --> 00:22:11,879 Speaker 1: So it's a total lie that Kathy Hokel and Gavin 360 00:22:11,960 --> 00:22:17,080 Speaker 1: Newsom is telling. It's complete horsecrap. And then there's this story. Yeah, 361 00:22:17,119 --> 00:22:19,840 Speaker 1: this story just came out today from the New York Post. 362 00:22:20,240 --> 00:22:22,720 Speaker 1: A couple of years ago day in New York State, 363 00:22:22,760 --> 00:22:25,119 Speaker 1: they passed this no bail bill similar to some of 364 00:22:25,119 --> 00:22:28,000 Speaker 1: the crap we've had in this state, and it's really 365 00:22:28,000 --> 00:22:31,600 Speaker 1: really led to some problems. A mother of three was 366 00:22:31,760 --> 00:22:35,520 Speaker 1: executed in front of her kids less than twenty four 367 00:22:35,560 --> 00:22:41,000 Speaker 1: hours after her estranged husband was sprung from jail on 368 00:22:41,080 --> 00:22:46,600 Speaker 1: a no bail charge over a beating that she'd posted 369 00:22:46,640 --> 00:22:51,000 Speaker 1: to Facebook. He gave her a beating somehow, she recorded 370 00:22:51,040 --> 00:22:54,439 Speaker 1: it and posted to Facebook as a desperate plea for 371 00:22:54,480 --> 00:22:57,159 Speaker 1: help and clearly evidence of the crime, and yet he 372 00:22:57,240 --> 00:23:00,840 Speaker 1: got no bail. He also has a Ryan kribnicon for 373 00:23:00,920 --> 00:23:05,240 Speaker 1: kidnapping another X at gunpoint, so he went and shot 374 00:23:05,240 --> 00:23:09,119 Speaker 1: her dead. Today he shot the wife. Her name was 375 00:23:09,160 --> 00:23:12,000 Speaker 1: Zakira Benefield. He shot her to death at her home. 376 00:23:12,440 --> 00:23:17,760 Speaker 1: The original video showed Benefield tackling his wife, pinning her down, 377 00:23:18,040 --> 00:23:22,640 Speaker 1: and savagely punching her repeatedly. He was arrested a week 378 00:23:22,720 --> 00:23:26,720 Speaker 1: later after Kira showed the footage to cops, but he 379 00:23:26,880 --> 00:23:31,800 Speaker 1: only got misdemeanor charges and was allowed to leave jail 380 00:23:31,960 --> 00:23:37,879 Speaker 1: with no bail. Unbelievable. New York State has followed the 381 00:23:38,080 --> 00:23:42,639 Speaker 1: horrible road that California other states have. They believed that bail, 382 00:23:42,920 --> 00:23:47,359 Speaker 1: remember no bail, Bob Hertzberg, bail is just it's unfair 383 00:23:47,440 --> 00:23:49,919 Speaker 1: to poorer people, so we have to get rid of 384 00:23:49,920 --> 00:23:53,720 Speaker 1: it now. She got a protective order, but those are 385 00:23:53,760 --> 00:23:57,119 Speaker 1: worthless because the next day Kira was so scared for 386 00:23:57,200 --> 00:24:00,680 Speaker 1: her life she put on a bulletproof vest and set 387 00:24:00,720 --> 00:24:03,600 Speaker 1: off to take her kids to school. As she drove 388 00:24:03,640 --> 00:24:07,520 Speaker 1: the kids, her strange husband crashed her crashed into her vehicle, 389 00:24:07,920 --> 00:24:11,919 Speaker 1: pulled out a shotgun and fired a fatal blast, and 390 00:24:11,960 --> 00:24:15,320 Speaker 1: Wren ran away. He wasn't caught until a week later. 391 00:24:16,119 --> 00:24:19,159 Speaker 1: Now he's being held without bail. So he was only 392 00:24:19,240 --> 00:24:24,240 Speaker 1: charged with misdemeanors for this horrific beatdown of his wife. 393 00:24:25,119 --> 00:24:28,960 Speaker 1: And because he was only charged with misdemeanors, they had 394 00:24:29,000 --> 00:24:31,760 Speaker 1: no choice but to post would give him no bail. 395 00:24:31,960 --> 00:24:34,680 Speaker 1: Of course, they could have charged him with a felony. 396 00:24:34,800 --> 00:24:38,320 Speaker 1: They had the video on Facebook where he repeatedly beat 397 00:24:38,320 --> 00:24:44,399 Speaker 1: her for eight minutes. I I but this is what 398 00:24:44,640 --> 00:24:46,439 Speaker 1: this is what this is. And by the way, the 399 00:24:46,480 --> 00:24:49,840 Speaker 1: judge couldn't even consider Benefield's two thousand conviction and fifteen 400 00:24:49,920 --> 00:24:52,879 Speaker 1: year prison sentence for kidnapping his ex girlfriend because of 401 00:24:52,880 --> 00:24:55,520 Speaker 1: that bail bill that passed a couple of years ago 402 00:24:55,560 --> 00:24:58,800 Speaker 1: when the state legislature in New York. Yeah, so this 403 00:24:58,880 --> 00:25:02,639 Speaker 1: is why you wait until election day to vote, Because 404 00:25:02,680 --> 00:25:05,560 Speaker 1: this story I ought to change some votes. Kathy Hokel 405 00:25:06,560 --> 00:25:09,760 Speaker 1: goes on television and says, I don't see I don't 406 00:25:09,760 --> 00:25:13,520 Speaker 1: know why that's so important to you about crime. And 407 00:25:13,560 --> 00:25:15,920 Speaker 1: then a few days later we find that this poor 408 00:25:15,960 --> 00:25:20,880 Speaker 1: woman was blasted to death by an estranged husband who'd 409 00:25:20,920 --> 00:25:24,520 Speaker 1: been led out on bail after beating her. I mean, 410 00:25:24,680 --> 00:25:27,520 Speaker 1: this is why it's important. Her life was important. In 411 00:25:27,560 --> 00:25:31,560 Speaker 1: front of her kids, she got shot to death driving 412 00:25:31,680 --> 00:25:35,320 Speaker 1: them to school. And if they still elect Kathy Hokel 413 00:25:35,359 --> 00:25:45,200 Speaker 1: as governor, she's new Simon address we will finish coming 414 00:25:45,280 --> 00:25:48,320 Speaker 1: up Johnny Ken Show kf I am six forty New 415 00:25:48,400 --> 00:25:50,960 Speaker 1: Simon Address live everywhere in the iHeart Radio app. I 416 00:25:51,040 --> 00:25:57,320 Speaker 1: think about that this cannot be a coincidence. What is today, John, 417 00:25:57,359 --> 00:26:00,480 Speaker 1: that you've been celebrating with holding an apple? It's World 418 00:26:00,560 --> 00:26:05,520 Speaker 1: Vegan Day. In and Outs owner president Lindsay Snyder announced 419 00:26:05,560 --> 00:26:08,879 Speaker 1: today that one year from now they're gonna have a 420 00:26:08,960 --> 00:26:13,080 Speaker 1: huge seventy fifth anniversary celebration for In and Out. It 421 00:26:13,240 --> 00:26:17,760 Speaker 1: was in nineteen forty eight when Harry and Esther Snyder 422 00:26:17,760 --> 00:26:21,200 Speaker 1: opened the first one in Baldwin Park October twenty two, 423 00:26:21,359 --> 00:26:25,520 Speaker 1: nineteen forty eight. There's now three Hundy one restaurants in 424 00:26:25,600 --> 00:26:30,800 Speaker 1: seven states. You know what I think I wouldn't be surprised. 425 00:26:30,800 --> 00:26:32,840 Speaker 1: I realize it's a year a well, it should be 426 00:26:32,840 --> 00:26:36,520 Speaker 1: October twenty second next year, I think, and take off 427 00:26:36,560 --> 00:26:38,639 Speaker 1: that day and just drive to in and outs and 428 00:26:38,680 --> 00:26:43,040 Speaker 1: eat burgers all day so you can go to this 429 00:26:43,080 --> 00:26:46,920 Speaker 1: event in Pomona. They're going to have all sorts of burgers, right, 430 00:26:47,760 --> 00:26:50,760 Speaker 1: it's they're gonna have drag racing, a car show, celebrity 431 00:26:50,840 --> 00:26:53,240 Speaker 1: musicians as well as their own food trucks. This is 432 00:26:53,280 --> 00:26:56,240 Speaker 1: next year. Can we do a remote? Can we do? 433 00:26:56,359 --> 00:26:58,879 Speaker 1: We should do a show from this in and Out celebration. 434 00:26:59,320 --> 00:27:04,639 Speaker 1: It's it's is October twenty twenty twenty three, a week day. 435 00:27:04,720 --> 00:27:06,400 Speaker 1: Do we know? I don't have a calendar in front 436 00:27:06,400 --> 00:27:10,480 Speaker 1: of what was the date? October twenty second, twenty twenty three, 437 00:27:11,640 --> 00:27:14,199 Speaker 1: So they're giving people a heads up a year ahead 438 00:27:14,880 --> 00:27:20,360 Speaker 1: because they want people to reserve the date. It's a Sunday. Uh, well, 439 00:27:20,840 --> 00:27:22,679 Speaker 1: I guess you can still go, but I can go 440 00:27:22,720 --> 00:27:26,080 Speaker 1: by myself. You can't. We'll Eric will join you. Yeah, 441 00:27:26,400 --> 00:27:31,040 Speaker 1: you'll come, yeah, and we'll just think burgers all day. 442 00:27:31,080 --> 00:27:34,360 Speaker 1: It sounds good to me. Yeah, great day, that's all 443 00:27:34,359 --> 00:27:38,480 Speaker 1: I need. Probably you heard the news that another rapper 444 00:27:38,560 --> 00:27:44,560 Speaker 1: has been shot to death, this time in Houston. Apparently, 445 00:27:45,600 --> 00:27:51,399 Speaker 1: this rapper, known as Takeoff, twenty eight years old, shot 446 00:27:51,440 --> 00:27:54,159 Speaker 1: dead after leaving a private party at a bowling alley. 447 00:27:55,240 --> 00:27:57,399 Speaker 1: Some in this story say they were playing a dice 448 00:27:57,440 --> 00:28:02,720 Speaker 1: game and I guess an argument broke out. Sixty of them, Now, yeah, 449 00:28:02,800 --> 00:28:08,280 Speaker 1: you had the number, maybe sixty one. Yeah. Wikipedia actually 450 00:28:08,280 --> 00:28:11,720 Speaker 1: has a page for rappers who've been killed, who have 451 00:28:11,760 --> 00:28:19,320 Speaker 1: been murdered. I couldn't yeah, And it says here at 452 00:28:19,359 --> 00:28:21,520 Speaker 1: some point, someone in the crowd, seemingly the man that 453 00:28:21,640 --> 00:28:24,200 Speaker 1: was arguing, can be heard saying that listen, man ain't 454 00:28:24,200 --> 00:28:28,240 Speaker 1: gonna be disrespectful like that, and then, apparently not long 455 00:28:28,280 --> 00:28:34,800 Speaker 1: after that, shots rang out. Yeah, he's number sixty. A 456 00:28:34,840 --> 00:28:39,600 Speaker 1: couple of people were shot beyond the rapper. He used 457 00:28:39,600 --> 00:28:41,520 Speaker 1: to be part of a hip hop trio called Migos. 458 00:28:41,800 --> 00:28:45,960 Speaker 1: I don't know. They did two studies in the mid 459 00:28:46,040 --> 00:28:49,840 Speaker 1: twenty tens, murder was the cause of fifty one and 460 00:28:49,840 --> 00:28:54,440 Speaker 1: a half percent of all hip hop musician deaths. Average 461 00:28:54,480 --> 00:28:57,040 Speaker 1: age of death is twenty five to thirty years of age. 462 00:28:58,120 --> 00:29:03,520 Speaker 1: What was the cause murder? Murder? Murder was the cause 463 00:29:03,560 --> 00:29:05,920 Speaker 1: of death in fifty one and a half percent of 464 00:29:06,080 --> 00:29:09,880 Speaker 1: hip hop musician deaths, with the average age of death 465 00:29:09,960 --> 00:29:13,400 Speaker 1: twenty five to thirty. Hip hop has a higher rate 466 00:29:13,440 --> 00:29:16,400 Speaker 1: of homicide than any other genre of music, ranging from 467 00:29:16,440 --> 00:29:21,080 Speaker 1: five to thirty two times higher. But sadly, it's the 468 00:29:21,080 --> 00:29:23,920 Speaker 1: story as they tell often in hip hop lyrics, right, 469 00:29:24,000 --> 00:29:27,320 Speaker 1: it's it's just a tough neighborhood's tough times. Yeah, and 470 00:29:27,520 --> 00:29:29,440 Speaker 1: you know this is why we make the argument that 471 00:29:29,520 --> 00:29:31,920 Speaker 1: you know, you need police in need punishment because the 472 00:29:32,000 --> 00:29:40,840 Speaker 1: victims are often black people as well. Yeah, yeah, um yeah. 473 00:29:40,880 --> 00:29:45,280 Speaker 1: According to reports, images show the rapper lying dead in 474 00:29:45,320 --> 00:29:47,360 Speaker 1: a puddle of blood after being shot in the head 475 00:29:48,000 --> 00:29:52,120 Speaker 1: during the argument. And I had just seen that they 476 00:29:52,120 --> 00:29:55,440 Speaker 1: were playing a dice game outside the bowling alley. This 477 00:29:55,560 --> 00:29:57,280 Speaker 1: was not a show he did. It was just he 478 00:29:57,400 --> 00:30:00,560 Speaker 1: was there for some party. Are you playing scheming an 479 00:30:00,600 --> 00:30:02,720 Speaker 1: alley outside of bowling alley? It just sounds like a 480 00:30:03,320 --> 00:30:07,160 Speaker 1: funky s a dice can It brings that old memories. Yeah, 481 00:30:07,560 --> 00:30:11,640 Speaker 1: conways here hey Mark Thompson like yeah, Mark Thompson's yeah, 482 00:30:11,760 --> 00:30:14,959 Speaker 1: thank you, thank you. Yea. We got to Rick Caruso 483 00:30:15,040 --> 00:30:17,959 Speaker 1: coming on tonight. The lottery Tonight's up to a billion 484 00:30:18,000 --> 00:30:22,840 Speaker 1: dollars and Happy Halloween. Caruso was on last night. I thought, hey, Belliot, 485 00:30:25,480 --> 00:30:28,880 Speaker 1: this is last night's show. Who needs Caruso? You got 486 00:30:28,960 --> 00:30:32,440 Speaker 1: Mark Thompson. Yeah, exactly, Well then maybe this is perfect 487 00:30:32,440 --> 00:30:35,000 Speaker 1: for the night. US workers have gotten way less productive 488 00:30:35,360 --> 00:30:40,800 Speaker 1: and no one's sure why Hey, Bellio, including your show 489 00:30:41,280 --> 00:30:45,000 Speaker 1: speaking of lack of productivity. I don't know to do that. 490 00:30:45,040 --> 00:30:48,840 Speaker 1: I don't know. It's World Vegan Day from Mark. Yeah 491 00:30:48,080 --> 00:30:50,800 Speaker 1: it is. Why am I not told these things about 492 00:30:50,800 --> 00:30:53,120 Speaker 1: the vegan networkers letting me down? You could have used 493 00:30:53,120 --> 00:30:54,880 Speaker 1: that on your show today? Right, I could have my 494 00:30:54,920 --> 00:30:58,040 Speaker 1: big YouTube show. Is that what you're doing? Yeah, the 495 00:30:58,120 --> 00:31:00,200 Speaker 1: Mark Thompson Show. You should check it out. Ken you've 496 00:31:00,200 --> 00:31:04,920 Speaker 1: got time ten to noon and it's a video show. 497 00:31:05,160 --> 00:31:07,720 Speaker 1: Yeah you can, yeah, right, you can see Mark. Yes 498 00:31:10,360 --> 00:31:13,120 Speaker 1: I am some days, Yeah I am, But I may 499 00:31:13,240 --> 00:31:15,160 Speaker 1: you know anything for subscribers, if they want me to 500 00:31:15,200 --> 00:31:17,160 Speaker 1: get naked, I might actually do it. Oh I gotta 501 00:31:17,160 --> 00:31:18,959 Speaker 1: pay for this? Ag No no no, no no, no, 502 00:31:18,960 --> 00:31:21,520 Speaker 1: it's free. It's more high tech than this show. Uh 503 00:31:22,000 --> 00:31:24,360 Speaker 1: it's close video. Are there commercials or this? No? No, 504 00:31:24,360 --> 00:31:27,360 Speaker 1: no no, I've one sponsor, but I mean he's he 505 00:31:27,440 --> 00:31:29,640 Speaker 1: paid to be the exclusive sponsor. I mean you can 506 00:31:29,720 --> 00:31:32,320 Speaker 1: imagine that the price tag was immense. Oh yeah, yeah, 507 00:31:32,960 --> 00:31:37,560 Speaker 1: a sponsor of the Mark Thompson Show. Exactly, you should 508 00:31:37,600 --> 00:31:39,600 Speaker 1: have a you should have a vegan floake, and like 509 00:31:39,920 --> 00:31:42,360 Speaker 1: there's no meat. I don't think I've even mentioned that 510 00:31:42,400 --> 00:31:45,320 Speaker 1: I'm vegan on the show. I talk about vegan as 511 00:31:45,320 --> 00:31:47,240 Speaker 1: a more here because you guys give me such a 512 00:31:47,320 --> 00:31:50,080 Speaker 1: hard time about you shouldn't because you'll think you're crazy, 513 00:31:50,120 --> 00:31:52,120 Speaker 1: and then well you turn people. I don't want to. 514 00:31:52,480 --> 00:31:54,440 Speaker 1: I'm not a finger wagging when's the last time you 515 00:31:54,480 --> 00:31:57,160 Speaker 1: had meat? Eight and a half years ago? The wow, 516 00:31:57,200 --> 00:31:59,680 Speaker 1: except for that faux chicken, right, yeah, the foe meat 517 00:31:59,680 --> 00:32:01,680 Speaker 1: I've had. Yeah, oh you have tried the phone meeting. 518 00:32:01,680 --> 00:32:03,160 Speaker 1: Oh yeah, gave you the real meat instead of the 519 00:32:03,160 --> 00:32:08,560 Speaker 1: phone meat. That's right. Conway is right. The guy's telling me, 520 00:32:08,600 --> 00:32:11,360 Speaker 1: as he's filling this plastic bowl with all this, I'd 521 00:32:11,440 --> 00:32:15,280 Speaker 1: ordered this to the foam chicken. It was a chicken curry. 522 00:32:15,480 --> 00:32:17,840 Speaker 1: He's talking, Oh my god, vegan. Yeah, I've been thinking 523 00:32:17,840 --> 00:32:19,800 Speaker 1: about going vegan myself. That seems like a really cool thing. 524 00:32:19,840 --> 00:32:22,200 Speaker 1: He's talking. They are like, I'm ninety seconds on it 525 00:32:22,240 --> 00:32:24,000 Speaker 1: just in this thing. I started eating it in the 526 00:32:24,040 --> 00:32:25,800 Speaker 1: car and they go, Wow, this tastes it's kind of 527 00:32:25,880 --> 00:32:29,800 Speaker 1: get like that, you know, yeah, And then it's chewy en. 528 00:32:29,960 --> 00:32:33,800 Speaker 1: It tastes like flesh. And I look at the thing. 529 00:32:33,840 --> 00:32:37,280 Speaker 1: It's just chicken. It's oh no, they have to have 530 00:32:37,320 --> 00:32:39,280 Speaker 1: an extracism or something. You have to go back in. 531 00:32:39,400 --> 00:32:41,160 Speaker 1: I was looking for the kid. I couldn't find him. 532 00:32:44,320 --> 00:32:51,800 Speaker 1: SPI the vegan extracism. That's great, a dog. I love 533 00:32:53,640 --> 00:32:56,440 Speaker 1: Los Angeles, Orange County everywhere on the iHeartRadio app