1 00:00:00,080 --> 00:00:04,160 Speaker 1: You know what a Gavin Newsom's most irritating little quirks 2 00:00:04,400 --> 00:00:07,920 Speaker 1: is he's constantly preening about how California is going to 3 00:00:07,920 --> 00:00:11,879 Speaker 1: be the leader in this or that, and that's were 4 00:00:11,920 --> 00:00:14,280 Speaker 1: the laboratory of democracy. Didn't you hear that last hour? 5 00:00:14,360 --> 00:00:16,279 Speaker 1: That's right, We're going to be the world leader on 6 00:00:16,360 --> 00:00:19,280 Speaker 1: climate change and other states and nations will follow. And 7 00:00:19,360 --> 00:00:22,720 Speaker 1: for the most part that's not true. Most other states 8 00:00:22,720 --> 00:00:25,560 Speaker 1: and nations do not follow. There is an exception, though, 9 00:00:25,600 --> 00:00:30,080 Speaker 1: which we wanted to explore here. It turns out after 10 00:00:31,040 --> 00:00:34,440 Speaker 1: Newsom signed the bill in California banning gas powered cars 11 00:00:34,440 --> 00:00:38,680 Speaker 1: in twenty thirty five, people in Virginia found out that 12 00:00:39,200 --> 00:00:44,320 Speaker 1: a law was passed last year that Virginia had to 13 00:00:44,320 --> 00:00:48,760 Speaker 1: follow California's lead and gas powered cars would be banned 14 00:00:48,880 --> 00:00:53,000 Speaker 1: there as well. Now, this was under a Democratic governor, 15 00:00:53,640 --> 00:00:58,960 Speaker 1: and Democrats had majorities in both chambers of the legislature. 16 00:01:00,120 --> 00:01:03,640 Speaker 1: Since then, there's a new Republican governor, Glenn Junkin, and 17 00:01:03,800 --> 00:01:06,960 Speaker 1: he came out the next day and said, we're gonna 18 00:01:07,000 --> 00:01:09,360 Speaker 1: have to roll this back, and we're going to talk 19 00:01:09,360 --> 00:01:12,800 Speaker 1: now to the Attorney General Jason Meres. He's a Republican too, 20 00:01:13,200 --> 00:01:17,280 Speaker 1: and it is it is as written, going to apply 21 00:01:17,319 --> 00:01:22,840 Speaker 1: to Virginia if changes aren't made. Let's get the attorney 22 00:01:22,840 --> 00:01:26,880 Speaker 1: general one, Hi, how are you hey? Thanks so much 23 00:01:26,880 --> 00:01:30,080 Speaker 1: for having me, great to be with you. Explain how 24 00:01:30,120 --> 00:01:32,679 Speaker 1: the law is written that you are forced to follow 25 00:01:32,720 --> 00:01:36,920 Speaker 1: California's lead. Well, you know, we had this period of time, 26 00:01:36,959 --> 00:01:39,280 Speaker 1: we had this kind of far left liberal monopoly in 27 00:01:39,959 --> 00:01:42,920 Speaker 1: Virginia that took over our state government, state house, states, 28 00:01:42,959 --> 00:01:46,320 Speaker 1: sent in the governor's mansion, and there is very few 29 00:01:46,880 --> 00:01:50,320 Speaker 1: pieces of woken weird legislation that they didn't push through, 30 00:01:50,400 --> 00:01:54,400 Speaker 1: one of which was saying that Virginia automatically had to 31 00:01:54,440 --> 00:01:58,520 Speaker 1: adopt California's admission standards. Well, as you know, these admission 32 00:01:58,600 --> 00:02:01,520 Speaker 1: standards are set by an Huntle elected board in California, 33 00:02:02,040 --> 00:02:05,760 Speaker 1: which means that Virginians have absolutely zero say and what 34 00:02:05,840 --> 00:02:11,040 Speaker 1: these ignission standards are. And obviously California is I think, 35 00:02:11,120 --> 00:02:14,440 Speaker 1: pretty dysfunctional state. And you know they said that we 36 00:02:14,480 --> 00:02:17,440 Speaker 1: have to ban all non ev cars by next decade. 37 00:02:17,440 --> 00:02:20,360 Speaker 1: That people I have realized this is not about any 38 00:02:20,520 --> 00:02:22,959 Speaker 1: year in the twenty thirties, four years from now, twenty 39 00:02:23,200 --> 00:02:26,880 Speaker 1: twenty six, thirty five, percent of all new vehicle sales 40 00:02:26,880 --> 00:02:29,880 Speaker 1: in Virginia because they've tied to this rule have to 41 00:02:29,960 --> 00:02:33,240 Speaker 1: be evs. Last year that number was two percent. And 42 00:02:33,280 --> 00:02:36,160 Speaker 1: I've talked to several dealers that have said, the only way, 43 00:02:36,200 --> 00:02:39,359 Speaker 1: the absolute only way you could get to that thirty 44 00:02:39,360 --> 00:02:42,920 Speaker 1: five percent numbers is you artificially inflate the price of 45 00:02:43,040 --> 00:02:46,240 Speaker 1: every non EV car, because your average electric vehicle right 46 00:02:46,280 --> 00:02:49,600 Speaker 1: now sold is about sixty six thousand dollars. And as 47 00:02:49,600 --> 00:02:51,320 Speaker 1: they said, what this is, this is an attacks on 48 00:02:51,400 --> 00:02:55,120 Speaker 1: the port your average working class Virginian or American that 49 00:02:55,280 --> 00:02:57,400 Speaker 1: wanted to just buy a simple handa accord or an 50 00:02:57,400 --> 00:02:59,919 Speaker 1: F one fifty. The only way they're going to be 51 00:03:00,040 --> 00:03:02,320 Speaker 1: able to somehow get to that thirty five percent numbers 52 00:03:02,360 --> 00:03:05,520 Speaker 1: make non EV cars more expensive by fifteen, twenty, twenty 53 00:03:05,520 --> 00:03:09,000 Speaker 1: five thousand dollars. And so this is a classic case 54 00:03:09,120 --> 00:03:11,440 Speaker 1: of what you have in government or people assume if 55 00:03:11,440 --> 00:03:14,400 Speaker 1: I have good intentions, it will guarantee good results. This 56 00:03:14,520 --> 00:03:17,120 Speaker 1: is a tax on the poor. As one dealer told me, 57 00:03:17,200 --> 00:03:20,959 Speaker 1: this is nothing more but working class Virginia subsidizing EV 58 00:03:21,160 --> 00:03:25,120 Speaker 1: cars for wealthy lawyers, wealthy business owners, and wealthy doctors. 59 00:03:25,200 --> 00:03:28,240 Speaker 1: Because working class folks aren't coming in here trying to 60 00:03:28,280 --> 00:03:31,480 Speaker 1: buy electric vehicles, and so that's what we're seeing. And 61 00:03:31,880 --> 00:03:34,000 Speaker 1: I got to tell you, I was out in California 62 00:03:34,000 --> 00:03:36,520 Speaker 1: this summer, is visiting the Reagan ranch, and I've just thought, 63 00:03:36,560 --> 00:03:38,600 Speaker 1: you have to be really bad at your job. Gevin 64 00:03:38,720 --> 00:03:41,360 Speaker 1: used them to have a state this beautiful, To have 65 00:03:41,400 --> 00:03:44,120 Speaker 1: a net plus two hundred thousand people a year leaving 66 00:03:44,440 --> 00:03:46,800 Speaker 1: a state that has so much natural beauty, It's just 67 00:03:47,200 --> 00:03:49,600 Speaker 1: it shows you just how this function, this far left 68 00:03:49,600 --> 00:03:52,480 Speaker 1: liberal monopoly is in California. We got a taste of 69 00:03:52,520 --> 00:03:54,920 Speaker 1: it in Virginia and we rejected at this past November. 70 00:03:55,200 --> 00:03:57,760 Speaker 1: But that's what you're seeing right now in California is 71 00:03:58,040 --> 00:04:00,600 Speaker 1: we actually have signs that are popping up in that says, 72 00:04:00,600 --> 00:04:04,600 Speaker 1: don't California, my Virginia. And it just really caused a 73 00:04:04,600 --> 00:04:07,840 Speaker 1: lot of outrage out out here on the East Coast. 74 00:04:07,880 --> 00:04:11,520 Speaker 1: Did the public know the implications of this when the 75 00:04:11,640 --> 00:04:15,920 Speaker 1: Virginia law was passed last year? No, I mean the 76 00:04:16,000 --> 00:04:19,560 Speaker 1: media covered it some and we warned them. We told them, 77 00:04:19,760 --> 00:04:23,480 Speaker 1: you were tying ourselves to the most far left government 78 00:04:23,480 --> 00:04:26,800 Speaker 1: and regulatory state in the country, and Virginians lose their 79 00:04:26,880 --> 00:04:30,680 Speaker 1: voice Virginians lose their say, but they didn't care. It 80 00:04:30,720 --> 00:04:33,960 Speaker 1: really was this sense of we know what's best. There 81 00:04:34,040 --> 00:04:36,719 Speaker 1: was a sense of arrogance. I mean you saw this 82 00:04:36,760 --> 00:04:40,080 Speaker 1: in almost every area, from tax and regulatory to just 83 00:04:40,120 --> 00:04:44,240 Speaker 1: this criminal first victim last mindset of bills they passed 84 00:04:44,880 --> 00:04:47,919 Speaker 1: quoted the name of social justice. But social justice without 85 00:04:47,960 --> 00:04:51,520 Speaker 1: criminal justice doesn't reform anything. It's a criminal first victim 86 00:04:51,640 --> 00:04:55,599 Speaker 1: last mindset, deterning Virginians. So we've gotten a little taste 87 00:04:55,600 --> 00:04:58,400 Speaker 1: of it for two years in Virginia of what this 88 00:04:58,560 --> 00:05:01,120 Speaker 1: far left progressive agenda looks like. And like I said, 89 00:05:01,120 --> 00:05:04,280 Speaker 1: we rejected it. But that's kind of where we are. 90 00:05:04,360 --> 00:05:06,240 Speaker 1: So I do find that a little bit laughable that 91 00:05:06,320 --> 00:05:10,280 Speaker 1: Gavin Newsom is going around trying to tell how great 92 00:05:10,320 --> 00:05:13,159 Speaker 1: California is. There's not California is some of the worst 93 00:05:13,240 --> 00:05:15,880 Speaker 1: income inequality in the country, some of the worst homeless 94 00:05:15,960 --> 00:05:18,400 Speaker 1: rates in the country, some of the worst rates of 95 00:05:18,800 --> 00:05:20,919 Speaker 1: drug addiction in the country, some of the most violent 96 00:05:20,960 --> 00:05:23,680 Speaker 1: crime rates in the country. And somehow he thinks that's 97 00:05:23,680 --> 00:05:26,120 Speaker 1: the platform to go around the country and say, look 98 00:05:26,120 --> 00:05:28,800 Speaker 1: at California. If California is so great, why are you 99 00:05:28,839 --> 00:05:31,200 Speaker 1: having so many people leave and move to other states 100 00:05:31,200 --> 00:05:34,640 Speaker 1: that have some common sense policies and taxes, regulation and 101 00:05:34,720 --> 00:05:39,200 Speaker 1: criminal justice. And so that's what you're saying, and but yeah, 102 00:05:39,200 --> 00:05:41,320 Speaker 1: that's what we're dealing with in California. It got very 103 00:05:41,360 --> 00:05:44,120 Speaker 1: little media coverage at the time. And so it's legal 104 00:05:44,160 --> 00:05:48,400 Speaker 1: to force people to abide by a law that was 105 00:05:49,320 --> 00:05:53,240 Speaker 1: passed by an unelected body in California. That just strikes 106 00:05:53,279 --> 00:05:57,960 Speaker 1: me as should be constitutionally wrong in some way. Well, 107 00:05:58,000 --> 00:06:01,200 Speaker 1: the problem is you do have these kind of administrative 108 00:06:01,440 --> 00:06:04,080 Speaker 1: multi state compact that have been existed that have the 109 00:06:04,160 --> 00:06:06,960 Speaker 1: courts have ruled are constitutional. But that goes to a 110 00:06:07,000 --> 00:06:09,960 Speaker 1: bigger point, which if you think most of the problems 111 00:06:10,000 --> 00:06:12,880 Speaker 1: people have with what Joe Biden is doing are not bills, 112 00:06:12,920 --> 00:06:17,560 Speaker 1: they're actually executive orders and regulations being pushed out by 113 00:06:17,560 --> 00:06:19,480 Speaker 1: the administrative state. And if you want to know, part 114 00:06:19,520 --> 00:06:22,160 Speaker 1: of the reason why Washington and a lot of state 115 00:06:22,160 --> 00:06:26,880 Speaker 1: governments get dysfunctional is they basically stopped legislating. They start 116 00:06:26,880 --> 00:06:31,440 Speaker 1: allowing unelective legislative bodies to pass laws. And that's what 117 00:06:31,480 --> 00:06:33,400 Speaker 1: I'd like to point out. You've had these rules and 118 00:06:33,480 --> 00:06:38,360 Speaker 1: regulation promulgated by these regulatory bodies in Washington or Sacramento. 119 00:06:38,960 --> 00:06:42,919 Speaker 1: That they are never voted on by your elective representatives, 120 00:06:42,640 --> 00:06:46,120 Speaker 1: your senator, your congressman. They can comment and say they 121 00:06:46,160 --> 00:06:48,479 Speaker 1: dislike it, but they never actually vote on it. But 122 00:06:48,520 --> 00:06:50,440 Speaker 1: they had the same full force of effect of the law. 123 00:06:50,480 --> 00:06:52,560 Speaker 1: In fact, your governor can complain about it. That's all 124 00:06:52,560 --> 00:06:54,760 Speaker 1: they could do. The only people they could challenge them 125 00:06:54,760 --> 00:06:57,080 Speaker 1: and your state attorneys generals that could take them to court. 126 00:06:57,160 --> 00:07:00,200 Speaker 1: And so people ask me what surprised me about my job? 127 00:07:00,480 --> 00:07:03,799 Speaker 1: What it surprised to me just how much federal overreach. 128 00:07:03,839 --> 00:07:07,680 Speaker 1: There's been federal regulations that have been promulgated that can 129 00:07:07,760 --> 00:07:12,080 Speaker 1: impact every aspect of an American's lives, but they're never 130 00:07:12,120 --> 00:07:14,360 Speaker 1: it's never voted on, there's never any hearings, there never 131 00:07:14,440 --> 00:07:17,760 Speaker 1: any comment period by the general public to be able 132 00:07:17,800 --> 00:07:20,400 Speaker 1: to testify. And so that's part of our job, is 133 00:07:20,440 --> 00:07:23,440 Speaker 1: what we push back on this federal regulations. And so, yes, 134 00:07:23,600 --> 00:07:27,000 Speaker 1: unfortunately that's what's happened at the federal level. It was 135 00:07:27,040 --> 00:07:29,760 Speaker 1: this kind of a somewhat obscured case unless you're a lawyer. 136 00:07:29,840 --> 00:07:33,320 Speaker 1: Chevron deference, the stream Corps may reference it. But yeah, 137 00:07:33,400 --> 00:07:36,239 Speaker 1: you have a big, big problem with an administrative state 138 00:07:36,720 --> 00:07:39,080 Speaker 1: that passes law after law and it's never a bill. 139 00:07:39,520 --> 00:07:41,400 Speaker 1: And it's really I think one of the things that 140 00:07:42,120 --> 00:07:44,520 Speaker 1: it's going to be a huge issue as you move forward, 141 00:07:45,000 --> 00:07:49,160 Speaker 1: asking just how much responsibility and how much do we 142 00:07:49,200 --> 00:07:52,280 Speaker 1: want to give to these unelected bodies that never have 143 00:07:52,400 --> 00:07:54,600 Speaker 1: to be answer to the voters on any issue. We've 144 00:07:54,600 --> 00:07:57,600 Speaker 1: given a lot of power. The public I don't think 145 00:07:57,680 --> 00:07:59,720 Speaker 1: is aware of all the power the California Air Research 146 00:07:59,800 --> 00:08:03,840 Speaker 1: for has in this state. Now in your state, in Virginia, 147 00:08:05,240 --> 00:08:08,080 Speaker 1: you can repeal this through the legislature. The Republicans have 148 00:08:08,200 --> 00:08:11,280 Speaker 1: one chamber, the Democrats have the other. So I guess 149 00:08:11,400 --> 00:08:15,000 Speaker 1: until you get Republicans controlling both chambers, you're not able 150 00:08:15,040 --> 00:08:19,720 Speaker 1: to repeal this. Yeah. I mean, unfortunately, as I tell people, 151 00:08:19,760 --> 00:08:22,640 Speaker 1: I my job is I call balls and shrike gun 152 00:08:22,720 --> 00:08:24,400 Speaker 1: forced the law. I mean, if the law is something 153 00:08:24,440 --> 00:08:27,080 Speaker 1: I disagreement. I was in the General Assembly when this 154 00:08:27,120 --> 00:08:29,480 Speaker 1: ball came up, this bill came up. I voted against it. 155 00:08:30,480 --> 00:08:32,400 Speaker 1: But it is a law right now. And so what 156 00:08:32,520 --> 00:08:35,400 Speaker 1: I have tried to say is this is why elections matter. 157 00:08:35,480 --> 00:08:37,559 Speaker 1: We have a new set of elections in twenty and 158 00:08:37,679 --> 00:08:40,120 Speaker 1: twenty three votes for the state Senate and the State House, 159 00:08:40,720 --> 00:08:43,800 Speaker 1: and so you're exactly right. That's the way we're going 160 00:08:43,840 --> 00:08:46,440 Speaker 1: to have to repeal it is we're going to have 161 00:08:46,480 --> 00:08:48,400 Speaker 1: to get control of the General Assembly and get some 162 00:08:48,480 --> 00:08:51,640 Speaker 1: sanity on this because right now, and this is the 163 00:08:51,640 --> 00:08:55,760 Speaker 1: one thing I've realized, is the environmental left has such 164 00:08:55,800 --> 00:08:58,520 Speaker 1: a grip on the Democratic Party. They have such a 165 00:08:58,640 --> 00:09:02,400 Speaker 1: large financial grip on a Democratic Party that even people 166 00:09:02,400 --> 00:09:04,800 Speaker 1: that I know are pretty reasonable Democrats. I have great 167 00:09:04,840 --> 00:09:09,480 Speaker 1: relationships with several Democratic members. They've basically been said, listen, 168 00:09:09,520 --> 00:09:11,480 Speaker 1: if I vote to repeal this, I do think this 169 00:09:11,559 --> 00:09:15,120 Speaker 1: is pretty insane. I'll be I'll be primary. I'll be primary, 170 00:09:15,200 --> 00:09:21,079 Speaker 1: and probably I'll lose my seat and primary because that's 171 00:09:21,120 --> 00:09:22,560 Speaker 1: just what it is. Are they not afraid of the 172 00:09:22,559 --> 00:09:26,840 Speaker 1: public turning on them over something stupid like this? You know, 173 00:09:26,920 --> 00:09:29,520 Speaker 1: I can't I can't speak to that. I think they're 174 00:09:29,520 --> 00:09:33,720 Speaker 1: more worried about their nomination and um, but that's the reality. 175 00:09:33,760 --> 00:09:36,000 Speaker 1: I do think there's a lot of anger. I think 176 00:09:36,240 --> 00:09:38,240 Speaker 1: if you don't think people are upset, now, wait till 177 00:09:38,240 --> 00:09:41,200 Speaker 1: they suddenly see the sticker prices on their on their 178 00:09:41,360 --> 00:09:44,599 Speaker 1: non ev cars. They come in, they get artificially inflated. 179 00:09:45,400 --> 00:09:46,880 Speaker 1: There's no way you can get to that thirty five 180 00:09:46,920 --> 00:09:48,959 Speaker 1: percent number. I mean, you can't go from two percent 181 00:09:49,000 --> 00:09:51,560 Speaker 1: to thirty five percent. And listen, I talk to an 182 00:09:51,600 --> 00:09:53,680 Speaker 1: energy expert, and I have to listen. If we suddenly 183 00:09:54,120 --> 00:09:57,520 Speaker 1: went to just ten percent if overnight nationally with the 184 00:09:57,559 --> 00:10:01,040 Speaker 1: ten percent of all vehicles U on the rover evs, 185 00:10:01,400 --> 00:10:03,040 Speaker 1: what would that do to our electric grid? And the 186 00:10:03,080 --> 00:10:06,439 Speaker 1: word he uses describe it was catastrophic. Catastrophic. He said 187 00:10:06,480 --> 00:10:08,920 Speaker 1: that we cannot handle that. And so on one hand, 188 00:10:08,960 --> 00:10:11,960 Speaker 1: they've made it impossible to add capacity to our electric grid. 189 00:10:13,320 --> 00:10:15,680 Speaker 1: On the flip side, they've asked made these demands that 190 00:10:15,720 --> 00:10:18,960 Speaker 1: we have. You know, within four years a third of 191 00:10:18,960 --> 00:10:22,920 Speaker 1: all cars sold the evs, and so our electric grid 192 00:10:22,960 --> 00:10:25,480 Speaker 1: can't handle it. They've literally set up a regime that's 193 00:10:25,520 --> 00:10:29,600 Speaker 1: doomed to fail. California cannot meet the energy demands on 194 00:10:29,640 --> 00:10:33,240 Speaker 1: the grid that their push for EVS is going to happen, 195 00:10:33,280 --> 00:10:36,959 Speaker 1: and so it will probably reach ahead once Gavin Newsom 196 00:10:37,000 --> 00:10:39,079 Speaker 1: has left, because like I said, he lives in a 197 00:10:39,120 --> 00:10:40,920 Speaker 1: world where he thinks that he has good intentions, it 198 00:10:40,960 --> 00:10:44,240 Speaker 1: will guarantee good results. Nobody in the real world operates 199 00:10:44,240 --> 00:10:46,440 Speaker 1: that way. Nobody in the private sector operates that way. 200 00:10:46,480 --> 00:10:48,400 Speaker 1: Nobody on a sports team operates that way, nobody in 201 00:10:48,400 --> 00:10:52,679 Speaker 1: the military operates that way. It's only politicians and very 202 00:10:52,720 --> 00:10:55,720 Speaker 1: liberal Enclay they can get away with having this idea 203 00:10:55,720 --> 00:10:57,880 Speaker 1: that just because I mean well, I'm gonna have good results. 204 00:10:58,679 --> 00:11:00,400 Speaker 1: I think it's part of the reason why Governed minisode 205 00:11:00,480 --> 00:11:05,520 Speaker 1: dysfunctional right now. And and listen, that's one thing I 206 00:11:05,559 --> 00:11:08,720 Speaker 1: appreciate about Governor Junken. He has this mindset of bringing 207 00:11:08,800 --> 00:11:12,480 Speaker 1: kind of a business solution oriented mindset the government. He 208 00:11:12,559 --> 00:11:14,079 Speaker 1: doesn't get away with the idea that just because I 209 00:11:14,200 --> 00:11:17,520 Speaker 1: meant well, I don't have to follow up and measure success. 210 00:11:17,559 --> 00:11:20,720 Speaker 1: He measures success and everything he does, and that's part 211 00:11:20,720 --> 00:11:22,360 Speaker 1: of the reason why I wants to repeal this. Well, 212 00:11:22,440 --> 00:11:25,480 Speaker 1: thank you for coming on with it. Jason meis the 213 00:11:25,480 --> 00:11:29,679 Speaker 1: Attorney Journal of Virginia, and Virginia is bound by California's 214 00:11:29,679 --> 00:11:34,520 Speaker 1: electric vehicle mandate and it's going to kick in and 215 00:11:34,840 --> 00:11:37,120 Speaker 1: by twenty twenty six in Virginia as well as here 216 00:11:37,120 --> 00:11:39,920 Speaker 1: in California, thirty five percent of cars will have to 217 00:11:39,960 --> 00:11:42,840 Speaker 1: be electric. And it's just impossible for all the reasons 218 00:11:42,840 --> 00:11:45,600 Speaker 1: that Jason laid out here. Thanks for coming on with us. 219 00:11:46,880 --> 00:11:49,920 Speaker 1: Thank you all. More coming up in the John and 220 00:11:49,960 --> 00:11:52,480 Speaker 1: Ken Show on caf I Am six forty live everywhere 221 00:11:52,480 --> 00:11:54,680 Speaker 1: in the iHeartRadio app. My eyes almost popped out of 222 00:11:54,720 --> 00:11:56,480 Speaker 1: my head last night because you know, if you watch 223 00:11:56,480 --> 00:11:59,720 Speaker 1: any local TV, it's all about these two propositions twenty 224 00:11:59,720 --> 00:12:03,160 Speaker 1: six twenty seven, which is online gambling. One popped up 225 00:12:03,200 --> 00:12:06,600 Speaker 1: that wasn't was about a build in Sacramento. We'll tell 226 00:12:06,640 --> 00:12:10,840 Speaker 1: you what that bill is because in this age of inflation, oh, 227 00:12:10,840 --> 00:12:12,920 Speaker 1: this could drive up your cost of your hamburger, John 228 00:12:12,960 --> 00:12:16,160 Speaker 1: co Belt, we'll go into that apone that by the way, 229 00:12:16,200 --> 00:12:18,800 Speaker 1: I just saw an online ad for Prop. Twenty seven, 230 00:12:18,880 --> 00:12:24,600 Speaker 1: which is for legalizing four online gambling. Okay, the entire commercial, 231 00:12:24,960 --> 00:12:29,280 Speaker 1: the entire commercial was about vote for this proposition because 232 00:12:29,280 --> 00:12:33,319 Speaker 1: this is going to fund homeless programs for families and children. 233 00:12:34,480 --> 00:12:36,680 Speaker 1: That's what they're doing. Actually saw one on TV last night. 234 00:12:36,720 --> 00:12:39,040 Speaker 1: They actually brought out people from nonprofits to say they 235 00:12:39,040 --> 00:12:40,600 Speaker 1: can't wait for this to pass. They're going to get 236 00:12:40,640 --> 00:12:43,680 Speaker 1: more money and they're excited. You cannot tell at all 237 00:12:43,920 --> 00:12:46,599 Speaker 1: that it's about online gambling, because what they want to 238 00:12:46,640 --> 00:12:48,679 Speaker 1: do is use some of the proceeds. They want to 239 00:12:48,760 --> 00:12:50,600 Speaker 1: use some of the proceeds, I guess for a homeless problem. 240 00:12:50,800 --> 00:12:53,560 Speaker 1: You're right. Generally the prop twenty seven ads that are 241 00:12:53,559 --> 00:12:55,240 Speaker 1: in favor of it have just been about how much 242 00:12:55,240 --> 00:12:58,520 Speaker 1: it's going to help with the wholest problem. And yeah, 243 00:12:58,520 --> 00:13:03,120 Speaker 1: I mean, I mean it's so preposterous. They they run 244 00:13:03,160 --> 00:13:04,800 Speaker 1: these focus groups and they find out that if you 245 00:13:04,800 --> 00:13:06,960 Speaker 1: said I'll will spend money on homeless, oh yes, I'll 246 00:13:07,040 --> 00:13:08,880 Speaker 1: vote for that. But if you say you want to 247 00:13:08,960 --> 00:13:13,240 Speaker 1: legalize online gambling, well I don't know about that. It's 248 00:13:13,240 --> 00:13:16,280 Speaker 1: a good one because there's no taxes involved. Right, they're 249 00:13:16,320 --> 00:13:18,280 Speaker 1: gonna they they're saying, we're gonna get money for the homeless, 250 00:13:18,320 --> 00:13:20,360 Speaker 1: but we're not gonna race. Nobody do it. I can't 251 00:13:20,440 --> 00:13:24,079 Speaker 1: stand with the deceptive things that work on ignorant people, 252 00:13:24,880 --> 00:13:27,240 Speaker 1: because that's most of the bad laws in this state. 253 00:13:28,200 --> 00:13:30,559 Speaker 1: All Right. The New York Times had a science story 254 00:13:30,640 --> 00:13:33,640 Speaker 1: that jumped out at me, and a story on The 255 00:13:33,760 --> 00:13:36,439 Speaker 1: John and Ken Show also hit me at the same time. 256 00:13:37,000 --> 00:13:39,439 Speaker 1: I remember, this is really a long time ago, but 257 00:13:39,520 --> 00:13:42,240 Speaker 1: you were talking about how you once ran into somebody 258 00:13:42,320 --> 00:13:45,480 Speaker 1: you thought was your twin. Yeah, somebody that was not 259 00:13:45,520 --> 00:13:48,160 Speaker 1: related to the word, of course, the German doppelganger. I 260 00:13:48,160 --> 00:13:50,520 Speaker 1: always like the word doppelganger. I use that too. One 261 00:13:50,720 --> 00:13:52,440 Speaker 1: I'm in public and I see somebody that looks like 262 00:13:52,440 --> 00:13:55,320 Speaker 1: somebody I know, I go, there's your doppelganger. Yeah, um, 263 00:13:55,880 --> 00:13:58,560 Speaker 1: what's amazing about this story? And apparently some guy has 264 00:13:58,600 --> 00:14:02,760 Speaker 1: taken photos, have been studies done of people that were 265 00:14:02,840 --> 00:14:06,800 Speaker 1: not related, but somehow found each other, and it's incredible 266 00:14:07,160 --> 00:14:08,920 Speaker 1: how much they do look alike. Did you look at 267 00:14:08,920 --> 00:14:10,959 Speaker 1: the photos? John, I did. I read that whole story 268 00:14:11,000 --> 00:14:13,680 Speaker 1: this morning. Yeah. How could you not believe that these 269 00:14:13,720 --> 00:14:16,760 Speaker 1: people weren't related when you look at the photos of them, 270 00:14:16,920 --> 00:14:23,560 Speaker 1: especially the two shirtless, fat guys with tattoos, Pedro Lopeze 271 00:14:24,040 --> 00:14:29,720 Speaker 1: Soto and Alfred Puieo Cadi Katko. The picture was taken 272 00:14:29,720 --> 00:14:33,920 Speaker 1: in Barcelona in twenty fifteen, and they look almost identic. 273 00:14:34,040 --> 00:14:36,280 Speaker 1: Oh my god, they got I mean, these two guys 274 00:14:36,280 --> 00:14:42,080 Speaker 1: are slobs, huge bellies, big sagging breasts. They got the 275 00:14:42,120 --> 00:14:45,560 Speaker 1: same beard, same balding head, the same expression. Everything is 276 00:14:45,600 --> 00:14:48,720 Speaker 1: like almost identical. And then did you see the pair 277 00:14:48,760 --> 00:14:51,000 Speaker 1: of guys that leads off the article. You would think 278 00:14:51,040 --> 00:14:52,960 Speaker 1: they were a gay couple. But they're not. They actually 279 00:14:53,040 --> 00:14:56,440 Speaker 1: met to a band and they attended each other's wedding, 280 00:14:56,560 --> 00:14:59,920 Speaker 1: but they're kind of posing. Yeah, I know, they really 281 00:15:00,840 --> 00:15:04,600 Speaker 1: they got that little bearded look. Yes, carefully quaffed beards, 282 00:15:04,880 --> 00:15:08,360 Speaker 1: carefully quoffited beard. And so the story goes on to 283 00:15:08,480 --> 00:15:10,720 Speaker 1: say that a study was done on some of these 284 00:15:10,960 --> 00:15:15,200 Speaker 1: lookalikes and they found out that they actually do share DNA. 285 00:15:15,480 --> 00:15:18,640 Speaker 1: How about that? That makes sense? That makes sense. And 286 00:15:18,680 --> 00:15:21,920 Speaker 1: now here comes the part where I felt vindicated, because 287 00:15:21,960 --> 00:15:23,760 Speaker 1: I don't know why I came up at this, but 288 00:15:23,840 --> 00:15:26,600 Speaker 1: I said, you know, eventually, you're gonna have to find 289 00:15:26,600 --> 00:15:28,800 Speaker 1: people that look like you, because we're really going to 290 00:15:28,880 --> 00:15:32,440 Speaker 1: run out of faces. And sure enough, it's in the 291 00:15:32,480 --> 00:15:35,000 Speaker 1: story that there's so many billions of people on the planet, 292 00:15:35,040 --> 00:15:37,560 Speaker 1: there's on many, so many faces that are going to form, 293 00:15:39,120 --> 00:15:41,960 Speaker 1: so there's a really good chance and somewhere in the 294 00:15:42,040 --> 00:15:43,720 Speaker 1: world there is somebody looks a hell of a lot 295 00:15:43,800 --> 00:15:46,280 Speaker 1: like you, and it's part of DNA, and it's part 296 00:15:46,280 --> 00:15:49,760 Speaker 1: of other factors, environmental and so forth. But it was 297 00:15:49,840 --> 00:15:52,520 Speaker 1: really it was really studying to me to see that, 298 00:15:52,560 --> 00:15:55,400 Speaker 1: because I said, yeah, that does make common sense to me. Yeah, Well, 299 00:15:55,440 --> 00:15:58,960 Speaker 1: I mean's eight billion people and they, of course a 300 00:15:58,960 --> 00:16:01,120 Speaker 1: lot of people are gonna look like Now, I saw 301 00:16:01,800 --> 00:16:06,880 Speaker 1: your doppel ganger in Germany. Coincidentally, I think you did 302 00:16:06,880 --> 00:16:09,720 Speaker 1: tell me this story once too. We were changing planes 303 00:16:09,760 --> 00:16:13,240 Speaker 1: in Munich on the way to Israel, and uh, there 304 00:16:13,280 --> 00:16:15,240 Speaker 1: was a guy in the airport and I just I 305 00:16:15,360 --> 00:16:23,080 Speaker 1: like stopped, stopped. Oh my god, that's Ken. You should 306 00:16:23,120 --> 00:16:27,480 Speaker 1: have gotten his name, I should you know. It frightened me. 307 00:16:27,480 --> 00:16:30,120 Speaker 1: I thought it was some kind of ghost, right. Um. 308 00:16:30,160 --> 00:16:34,040 Speaker 1: And then doppel Ganger's genomes are similar, but something called 309 00:16:34,200 --> 00:16:37,960 Speaker 1: epigenomes and microbiomes are a little different. This is all 310 00:16:38,000 --> 00:16:40,600 Speaker 1: inside genetic stuff. But that's what they found out in 311 00:16:40,640 --> 00:16:43,800 Speaker 1: this study when they took a look at these twins 312 00:16:44,360 --> 00:16:50,360 Speaker 1: and discovered that they actually did share some DNA. Absolutely 313 00:16:50,440 --> 00:16:55,480 Speaker 1: remarkable and a good scientific explanation for it. Um. They 314 00:16:55,520 --> 00:17:00,480 Speaker 1: described them as facial algorithms. And uh, they did this 315 00:17:00,520 --> 00:17:05,320 Speaker 1: study and this photographer took these pictures. But I'm just 316 00:17:05,320 --> 00:17:07,040 Speaker 1: trying to find the quote from the guy that really 317 00:17:07,040 --> 00:17:11,520 Speaker 1: excited me today when he basically said that, oh yeah, 318 00:17:11,560 --> 00:17:14,879 Speaker 1: doctor A Stellar said, now, there are so many people 319 00:17:14,920 --> 00:17:18,640 Speaker 1: in the world that the system is repeating itself. It's 320 00:17:18,720 --> 00:17:21,639 Speaker 1: not unreasonable to assume that you too might have a 321 00:17:21,680 --> 00:17:24,399 Speaker 1: look like out there. There are only so many ways 322 00:17:24,440 --> 00:17:29,120 Speaker 1: to build a face. Now, the chances of you finding 323 00:17:29,160 --> 00:17:32,840 Speaker 1: that person somewhere on this earth are probably actually, it's 324 00:17:32,880 --> 00:17:36,679 Speaker 1: probably several people. Some of those faces are badly constructed. 325 00:17:36,960 --> 00:17:38,560 Speaker 1: I forget what you said you ran into the guys 326 00:17:38,560 --> 00:17:41,480 Speaker 1: that looked like your doctor. In New York City, I 327 00:17:41,560 --> 00:17:43,960 Speaker 1: was going to a comedy club with my friends and 328 00:17:44,000 --> 00:17:46,920 Speaker 1: we were standing just outside the club, maybe we're in line. 329 00:17:47,240 --> 00:17:50,480 Speaker 1: And I looked across the street and there was me 330 00:17:51,040 --> 00:17:53,880 Speaker 1: across the street, and he had even had my hair, 331 00:17:54,080 --> 00:17:57,400 Speaker 1: my glasses. He had the same kind of blue blazer 332 00:17:57,480 --> 00:18:01,240 Speaker 1: that I used to wear. Then it was like looking 333 00:18:01,240 --> 00:18:03,400 Speaker 1: in a mirror when it crosses over into clothing again, 334 00:18:03,760 --> 00:18:05,960 Speaker 1: because I think I had it on too, because we're 335 00:18:05,960 --> 00:18:07,399 Speaker 1: going to the club, and I think I remember it 336 00:18:07,440 --> 00:18:09,320 Speaker 1: was a little dressed up, and so I looked across 337 00:18:09,320 --> 00:18:11,359 Speaker 1: the street as if it was a mirror, and I 338 00:18:11,400 --> 00:18:13,560 Speaker 1: think he was in front of a restaurant. He didn't 339 00:18:13,560 --> 00:18:16,040 Speaker 1: notice you, though I don't. I don't think so, or 340 00:18:16,040 --> 00:18:19,720 Speaker 1: maybe he ran. I know. That scared me too, It's like, oh, hey, 341 00:18:19,920 --> 00:18:23,160 Speaker 1: that's my face, What are you doing, come back here, 342 00:18:25,040 --> 00:18:27,320 Speaker 1: all right? We got more. Do you remember when we 343 00:18:27,320 --> 00:18:31,000 Speaker 1: found raised doppelgangers? We have found several of the two. 344 00:18:32,760 --> 00:18:35,040 Speaker 1: One one was a guy a few years ago. He 345 00:18:35,160 --> 00:18:39,560 Speaker 1: got arrested. Remember certain this guy got arrested and that 346 00:18:39,640 --> 00:18:42,520 Speaker 1: there was one. He actually was the leader of a 347 00:18:42,560 --> 00:18:48,760 Speaker 1: mariachi band and he was photographed. Has kind of a 348 00:18:48,800 --> 00:18:51,080 Speaker 1: generic sort of face. Yeah, there's a lot of there's 349 00:18:51,200 --> 00:18:53,080 Speaker 1: there's a lot of Ray Lopez is out there. All right, 350 00:18:53,080 --> 00:18:54,959 Speaker 1: we got more coming up. What are you laughing at? 351 00:18:55,080 --> 00:19:01,320 Speaker 1: I'm laughing at this, this list of banned words. Yeah, 352 00:19:02,200 --> 00:19:04,679 Speaker 1: I read this morning that it had to be snuck 353 00:19:04,680 --> 00:19:07,679 Speaker 1: out of them, that people were aware of this for 354 00:19:07,720 --> 00:19:09,840 Speaker 1: a while but never had the full list. And what 355 00:19:09,960 --> 00:19:14,800 Speaker 1: this is because from Stanford University. It's an initiative called 356 00:19:14,840 --> 00:19:19,639 Speaker 1: the Elimination of Harmful Language. It was first revealed in May. 357 00:19:20,119 --> 00:19:23,680 Speaker 1: It was a multi phase, multi year project to address 358 00:19:24,280 --> 00:19:31,520 Speaker 1: harmful language, multi year at Stanford. Yes, they want to 359 00:19:31,520 --> 00:19:35,840 Speaker 1: eliminate Now this is about the school's websites and computer codes. 360 00:19:35,920 --> 00:19:38,520 Speaker 1: It's I guess people could take it as a guide 361 00:19:38,520 --> 00:19:42,000 Speaker 1: to everyday living, but kind of an internal document. This 362 00:19:42,119 --> 00:19:46,200 Speaker 1: used to be an elite university used to be. Yeah, 363 00:19:46,280 --> 00:19:49,399 Speaker 1: now this is like something out of some kind of 364 00:19:50,119 --> 00:19:53,639 Speaker 1: comic book. Here, here's what they wrote. The guide says, 365 00:19:53,680 --> 00:19:56,639 Speaker 1: the goal is to eliminate many forms of harmful language, 366 00:19:56,680 --> 00:20:02,040 Speaker 1: including racist, violent, and bias. Language biased included disability bias, 367 00:20:02,440 --> 00:20:08,000 Speaker 1: ethnic bias, ethnic slurs, gender bias, implicit bias, and sexual bias. Wow, 368 00:20:08,359 --> 00:20:11,439 Speaker 1: my head, my head spinning. That's alloted bias. We strive 369 00:20:11,480 --> 00:20:14,200 Speaker 1: to educate people on the impact of words. There were 370 00:20:14,280 --> 00:20:24,440 Speaker 1: ten sections ablest agism, colonialism, culturally appropriative, gender based, imprecise language, 371 00:20:24,520 --> 00:20:33,040 Speaker 1: institutionalized racism, person first, violent, and then find the additional consideration. Yeah, 372 00:20:33,040 --> 00:20:35,760 Speaker 1: the one that's got people talking is that the university 373 00:20:35,920 --> 00:20:43,479 Speaker 1: urges you to avoid using the term American. That person 374 00:20:43,600 --> 00:20:48,399 Speaker 1: is a US citizen. Do they give lobotomies to people 375 00:20:48,480 --> 00:20:52,520 Speaker 1: who go to graduate school at Stanford like they do 376 00:20:52,560 --> 00:20:54,760 Speaker 1: the old ice pick over the eyeball like you see 377 00:20:54,760 --> 00:20:59,879 Speaker 1: in the old movies. The Americas comprise forty two countries. Wow, 378 00:21:00,119 --> 00:21:03,159 Speaker 1: I guess that's Central America, North America. But none of 379 00:21:03,200 --> 00:21:05,840 Speaker 1: them America. None of them have the word America in 380 00:21:05,880 --> 00:21:09,800 Speaker 1: their name, not that I know of. No, I can't 381 00:21:09,800 --> 00:21:14,920 Speaker 1: think of any. Right, you call somebody a Peruvian Sneze Whelan. Yeah, 382 00:21:15,080 --> 00:21:18,320 Speaker 1: so there's an American because that's the last word of 383 00:21:18,320 --> 00:21:22,199 Speaker 1: our name, the United States of America, America, And you're 384 00:21:22,240 --> 00:21:26,840 Speaker 1: an American plainness. I know, Hey, you're not a Harvard 385 00:21:27,000 --> 00:21:32,239 Speaker 1: You're not a Stanford graduate with an advanced degree, are you. 386 00:21:32,760 --> 00:21:36,840 Speaker 1: These people are smarter than we are. Well, we were 387 00:21:36,840 --> 00:21:38,840 Speaker 1: talking about yesterday with Mark mkoyan from the Center for 388 00:21:38,880 --> 00:21:41,359 Speaker 1: Immigration Studies. At first, when I saw this, I thought, well, 389 00:21:41,400 --> 00:21:43,679 Speaker 1: you know, that's the idea that there really is no 390 00:21:43,800 --> 00:21:48,120 Speaker 1: America or Americans. We are all world citizens. Now, that's 391 00:21:48,119 --> 00:21:50,120 Speaker 1: why there should be no borders. That's right. So they're 392 00:21:50,119 --> 00:21:54,720 Speaker 1: gonna wipe out our national identity. The word is now 393 00:21:54,760 --> 00:21:59,000 Speaker 1: off limits. I'm sure within these circles if you use 394 00:21:59,080 --> 00:22:01,679 Speaker 1: the word, people will look at you like you just 395 00:22:01,920 --> 00:22:04,280 Speaker 1: dropped an F bomb. In fact, an F bomb is 396 00:22:04,280 --> 00:22:07,400 Speaker 1: probably more acceptable now than to describe yourself as an American. 397 00:22:07,800 --> 00:22:09,600 Speaker 1: Maybe twenty years from now. That's the way it is. 398 00:22:10,359 --> 00:22:13,920 Speaker 1: This Stanford could be ahead. They're enlightened, you, sir, or 399 00:22:13,960 --> 00:22:18,360 Speaker 1: and darkened. No, you can't use the word darkened. That 400 00:22:18,400 --> 00:22:20,320 Speaker 1: came up a lot too. Yeah, there's a lot of 401 00:22:20,359 --> 00:22:22,960 Speaker 1: words here that involve a lot of phrases that involved 402 00:22:23,000 --> 00:22:26,119 Speaker 1: the word black and all. Some of them are some 403 00:22:26,160 --> 00:22:28,600 Speaker 1: of them are obsolete that people don't use much anyway, 404 00:22:28,880 --> 00:22:31,639 Speaker 1: But like nobody really know. There's probably people would say 405 00:22:31,680 --> 00:22:33,840 Speaker 1: handicap parking, but there aren't that many people would say 406 00:22:33,880 --> 00:22:38,680 Speaker 1: that anymore. But they are urging you to use accessible parking. Well, 407 00:22:38,680 --> 00:22:40,560 Speaker 1: does it matter how many people say it or don't 408 00:22:40,600 --> 00:22:46,320 Speaker 1: say it if it's if it describes accurately what's going on. Yeah, 409 00:22:46,359 --> 00:22:50,959 Speaker 1: because they think it's insensitive too, says who I mean? 410 00:22:51,000 --> 00:22:53,320 Speaker 1: I mean, what gives them? What gives them the right 411 00:22:53,359 --> 00:22:56,040 Speaker 1: to decide people to put together this list? Yeah, that's 412 00:22:56,040 --> 00:22:59,240 Speaker 1: what I'm saying that many months on this, but nobody 413 00:22:59,440 --> 00:23:04,840 Speaker 1: put these people pople in charge. They've just announced what's 414 00:23:04,840 --> 00:23:07,639 Speaker 1: insensitive and what's not insensitive. It's like, well, how do 415 00:23:07,680 --> 00:23:10,480 Speaker 1: you know? What do you know? Well, they're right about 416 00:23:10,480 --> 00:23:13,920 Speaker 1: this one. Karen replaced with demanding or entitled white woman. 417 00:23:14,760 --> 00:23:16,720 Speaker 1: I don't think it's fair to people named Karen with 418 00:23:16,880 --> 00:23:18,520 Speaker 1: that one. No, But you know, I think the woke 419 00:23:18,560 --> 00:23:20,560 Speaker 1: people came up with Karen, didn't they. Well, yeah, because 420 00:23:20,560 --> 00:23:23,520 Speaker 1: they do it too. Well, those stupid videos they have 421 00:23:23,600 --> 00:23:29,600 Speaker 1: their own set. Do not say child prostitute, is that 422 00:23:29,760 --> 00:23:33,200 Speaker 1: it's a child who has been trafficked, a child who's 423 00:23:33,240 --> 00:23:36,200 Speaker 1: been traded everything. There's a lot of taking one word 424 00:23:37,000 --> 00:23:41,119 Speaker 1: descriptions and placing it with a three or four word phrase. 425 00:23:41,760 --> 00:23:45,280 Speaker 1: They believe that is more specific. Then you can't call 426 00:23:45,359 --> 00:23:52,840 Speaker 1: somebody crazy. Crazy is ablest language that trivializes the experience 427 00:23:52,880 --> 00:23:57,560 Speaker 1: of people living with mental health conditions. Instead, say that 428 00:23:57,600 --> 00:24:05,720 Speaker 1: they're surprising or wild. Yeah, that one was weird. I 429 00:24:05,760 --> 00:24:08,919 Speaker 1: don't think surprising captures what the essence of crazy is 430 00:24:08,960 --> 00:24:12,320 Speaker 1: in most people's minds. Right, here's the way. You can't 431 00:24:12,359 --> 00:24:16,400 Speaker 1: call somebody a basket case. Just to consider using nervous 432 00:24:16,880 --> 00:24:20,000 Speaker 1: because it originally referred to one who lost all four 433 00:24:20,080 --> 00:24:23,040 Speaker 1: limbs and therefore needed to be carried around in a basket. 434 00:24:23,480 --> 00:24:25,480 Speaker 1: Look at that. So you learn something from these old 435 00:24:25,560 --> 00:24:30,120 Speaker 1: cliched expressions, Except basket cases usually used as somebody who's crazy, 436 00:24:30,920 --> 00:24:33,919 Speaker 1: it is, yes, somebody who's a little bit unhinged. I 437 00:24:34,000 --> 00:24:37,440 Speaker 1: never heard of the one without limbs. The index does 438 00:24:37,520 --> 00:24:41,440 Speaker 1: not offer or an alternative for brave under the culturally 439 00:24:41,480 --> 00:24:45,000 Speaker 1: appropriate category, just cautions against using the word at all. 440 00:24:45,040 --> 00:24:47,560 Speaker 1: I guess we're back to the Native American thing, like 441 00:24:47,640 --> 00:24:50,600 Speaker 1: the Atlanta Braves. You know what I'm saying. I guess yeah, yeah, 442 00:24:50,640 --> 00:24:53,000 Speaker 1: but you know, I saw Pauls were a ninety percent 443 00:24:53,040 --> 00:25:00,000 Speaker 1: of American Indians didn't care about about mascots and team nickname. 444 00:25:00,200 --> 00:25:02,080 Speaker 1: They just didn't care the same way. But the use 445 00:25:02,119 --> 00:25:04,879 Speaker 1: of that is a Native American because the brave logo. 446 00:25:05,000 --> 00:25:07,080 Speaker 1: But to say that someone's brave, it just means that 447 00:25:07,160 --> 00:25:11,159 Speaker 1: somebody is you know, strong and standard. It's complimentary. No, 448 00:25:11,480 --> 00:25:16,600 Speaker 1: but it's silly. This is always arbitrary nonsense. Um, you know, 449 00:25:16,800 --> 00:25:19,320 Speaker 1: it's it's like they still are trying to recommend latin X. 450 00:25:19,400 --> 00:25:22,520 Speaker 1: And I've seen surveys on that ninety seven percent of 451 00:25:22,560 --> 00:25:27,000 Speaker 1: Hispanic people reject latin X. They don't know, because a 452 00:25:27,040 --> 00:25:30,320 Speaker 1: lot of this is about dealing with, you know, alternative 453 00:25:30,320 --> 00:25:36,400 Speaker 1: genders and alternative sexual situations. Yes, and and that just 454 00:25:36,440 --> 00:25:42,000 Speaker 1: doesn't apply to you know, the vast, vast majority of people. 455 00:25:43,400 --> 00:25:48,159 Speaker 1: So everybody looks like, well, why why why can't you 456 00:25:48,280 --> 00:25:50,760 Speaker 1: use you know, a heat If you're talking to a guy, 457 00:25:51,240 --> 00:25:56,359 Speaker 1: you're supposed to ask somebody, Um, they're pronoun first before 458 00:25:56,480 --> 00:25:59,520 Speaker 1: you dress, right. It's like, no, I'm not going to 459 00:25:59,560 --> 00:26:01,359 Speaker 1: do that, and I don't want to be asked either. 460 00:26:02,480 --> 00:26:04,440 Speaker 1: You don't want to be asked your preferred pronouns. No, 461 00:26:04,560 --> 00:26:08,520 Speaker 1: I don't have preferred pronouns. I have obvious ones. It's 462 00:26:08,560 --> 00:26:13,080 Speaker 1: not preferred, and it's what is there is a preferred 463 00:26:13,320 --> 00:26:15,639 Speaker 1: implies that there's a choice and there might be a 464 00:26:15,840 --> 00:26:19,520 Speaker 1: second or third possibility. It's like, no, it's not a preference, 465 00:26:19,640 --> 00:26:23,640 Speaker 1: it's mandatory. Predictably, you're not supposed to say immigrant, it's 466 00:26:23,640 --> 00:26:26,679 Speaker 1: a person who is immigrated, a prisoner, Nope, it's a 467 00:26:26,720 --> 00:26:29,840 Speaker 1: person who was or is incarcerated, and a homeless person 468 00:26:29,880 --> 00:26:34,080 Speaker 1: as a person without housing. Here's here's a good one. 469 00:26:34,520 --> 00:26:39,960 Speaker 1: Seminal seminal, like you know, groundbreaking or leading the seminal event. 470 00:26:40,200 --> 00:26:44,080 Speaker 1: Why is that offensive? I don't think. I don't know. 471 00:26:44,080 --> 00:26:48,560 Speaker 1: Why would seminal be offensive? Native Americans? No, it's dirty, 472 00:26:48,720 --> 00:26:56,160 Speaker 1: not seminal. Oh, seminal wasn't amazon semen exactly. This term 473 00:26:56,200 --> 00:27:02,440 Speaker 1: reinforces male dominated language, and a man produce semen. Right, 474 00:27:02,760 --> 00:27:06,040 Speaker 1: people come out of semen. So the seminal event is 475 00:27:06,080 --> 00:27:11,959 Speaker 1: the first first moment of humanity. Here they don't want 476 00:27:11,960 --> 00:27:14,560 Speaker 1: you to say balls to the wall because again, personality 477 00:27:14,560 --> 00:27:17,639 Speaker 1: traits are attributed to anatomy right, or being ball z 478 00:27:18,240 --> 00:27:21,080 Speaker 1: or have the balls too right. They're all on the 479 00:27:21,119 --> 00:27:25,240 Speaker 1: no list. Even guys is no good anymore, say folks 480 00:27:25,359 --> 00:27:28,680 Speaker 1: or people or everyone. Newsom always says folks when he 481 00:27:28,720 --> 00:27:31,400 Speaker 1: tried to refer to gang members. I mean folks, folks. 482 00:27:33,000 --> 00:27:35,359 Speaker 1: You thug is no good, no good. Don't say thug. 483 00:27:36,280 --> 00:27:42,800 Speaker 1: You can't use the term black mark. Yeah, most of 484 00:27:42,800 --> 00:27:45,120 Speaker 1: the terms with the word black in it around black sheep, 485 00:27:45,280 --> 00:27:51,679 Speaker 1: black balled, black box, black list. You can't use brown 486 00:27:51,800 --> 00:27:56,879 Speaker 1: bag because it's associated with the brown paper bag test 487 00:27:56,960 --> 00:27:59,800 Speaker 1: at certain black sororities and fraternities used to judge skin. 488 00:28:01,000 --> 00:28:03,080 Speaker 1: If your skin color is darker than the brown bag, 489 00:28:03,119 --> 00:28:05,840 Speaker 1: you are not allowed to join. No, no, brown bag 490 00:28:05,920 --> 00:28:12,920 Speaker 1: is what you take luncheon. What are they talking about? What? 491 00:28:15,560 --> 00:28:17,600 Speaker 1: I would say, they're insane, except that's on the band 492 00:28:17,600 --> 00:28:22,639 Speaker 1: list too. Can't say victim to be person who has 493 00:28:22,680 --> 00:28:25,800 Speaker 1: experienced a person who's been impacted by Using person first 494 00:28:25,880 --> 00:28:28,399 Speaker 1: language helps to not define people by just one of 495 00:28:28,440 --> 00:28:32,280 Speaker 1: their experiences. But if the person identifies that the term, 496 00:28:32,320 --> 00:28:34,240 Speaker 1: then you can use it. Wow, you have to ask 497 00:28:34,320 --> 00:28:37,600 Speaker 1: them in advance, yead like someone who got mugged. Do 498 00:28:37,600 --> 00:28:41,960 Speaker 1: you mind being called a victim? Watch all the stupid 499 00:28:42,040 --> 00:28:44,080 Speaker 1: people in all these news departments, they're going to pick 500 00:28:44,160 --> 00:28:46,000 Speaker 1: up about all this, and their stories are going to 501 00:28:46,080 --> 00:28:49,200 Speaker 1: become incomprehensible. I have something to contribute. This is Mark 502 00:28:49,200 --> 00:28:51,360 Speaker 1: in the news booth. I had an editor once tell 503 00:28:51,440 --> 00:28:53,400 Speaker 1: me I was forbidden to use the word citizens in 504 00:28:53,440 --> 00:28:57,000 Speaker 1: a story like in the old Adam West attention citizens, 505 00:28:57,040 --> 00:28:59,960 Speaker 1: batman type of sense. Oh yeah, because it would offend 506 00:29:00,120 --> 00:29:05,920 Speaker 1: readers who might not be American citizens would feel excluded. 507 00:29:07,840 --> 00:29:10,280 Speaker 1: I think that what you're describing here is not not 508 00:29:10,360 --> 00:29:13,080 Speaker 1: a new thing, but but it's every bit as egregious 509 00:29:13,280 --> 00:29:16,760 Speaker 1: as it's always been. It's just multiplied a hundred a thousandfold. Here. 510 00:29:16,760 --> 00:29:19,000 Speaker 1: We've got endless pages of these words, and they spent 511 00:29:19,080 --> 00:29:22,520 Speaker 1: years putting this together. You can't even say hooray. You 512 00:29:22,560 --> 00:29:25,440 Speaker 1: can't say no. This term was used by German citizens 513 00:29:25,480 --> 00:29:27,560 Speaker 1: during the Holocaust as a rallying cry when they would 514 00:29:27,640 --> 00:29:31,280 Speaker 1: hunt down your citizens. Look at that. I didn't know that, Eric, 515 00:29:31,280 --> 00:29:33,680 Speaker 1: you ever hear that. I've never heard that before. So 516 00:29:33,880 --> 00:29:36,680 Speaker 1: if you hear who ray are you no? That's the 517 00:29:36,840 --> 00:29:39,280 Speaker 1: that's the preferred term. Head backwards you can't say hip 518 00:29:39,360 --> 00:29:42,880 Speaker 1: hip hooray. You could just say hooray. That's correct, hooray 519 00:29:42,960 --> 00:29:46,360 Speaker 1: instead of hip hip hooray. All right, we're coming up. 520 00:29:47,440 --> 00:29:49,640 Speaker 1: I can't can't if I am six forty live everywhere 521 00:29:49,680 --> 00:29:51,680 Speaker 1: the iHeart radio app. Well, you knew this had to 522 00:29:51,720 --> 00:29:56,840 Speaker 1: happen eventually. Apple is being sued by two women who 523 00:29:56,840 --> 00:30:01,880 Speaker 1: were victims of air tag stalking, including one whose ex 524 00:30:01,920 --> 00:30:05,040 Speaker 1: boyfriend hid the device in the wheel of her car 525 00:30:05,640 --> 00:30:09,560 Speaker 1: and another who's a strange husband tractor by placing it 526 00:30:09,600 --> 00:30:14,640 Speaker 1: in her child's backpack. That's pretty creepy. Lauren Used from 527 00:30:14,720 --> 00:30:18,080 Speaker 1: Texas is one woman. The other woman only identifies herself 528 00:30:18,560 --> 00:30:23,560 Speaker 1: as Jane Doe. Lauren Use did file a class action 529 00:30:23,680 --> 00:30:27,960 Speaker 1: suit against Apple, alleging it was negligent in its creation 530 00:30:28,040 --> 00:30:32,640 Speaker 1: and marketing of the inexpensive tracking devices. Do you think 531 00:30:32,640 --> 00:30:36,520 Speaker 1: the Apple executives, even for five minutes, had a meeting 532 00:30:36,560 --> 00:30:40,640 Speaker 1: that said, do you think creepers and stalkers would use 533 00:30:40,680 --> 00:30:45,280 Speaker 1: this to track their ex wives and girlfriends? Well, they 534 00:30:45,320 --> 00:30:49,480 Speaker 1: said that their stalker proof because they include chime notifications 535 00:30:49,520 --> 00:30:52,080 Speaker 1: to inform Apple device users whether or not there's an 536 00:30:52,080 --> 00:30:54,720 Speaker 1: air tag within thirty feet of them. For an extended 537 00:30:54,760 --> 00:30:57,600 Speaker 1: period of time. But the one problem with that immediately 538 00:30:57,680 --> 00:30:59,520 Speaker 1: is is what if you have an Android phone and 539 00:30:59,560 --> 00:31:03,480 Speaker 1: then of an Apple device that's half the nation, Then 540 00:31:03,520 --> 00:31:05,719 Speaker 1: apparently you have to use the app and then you 541 00:31:05,720 --> 00:31:07,640 Speaker 1: have to scan constantly because you're not going to get 542 00:31:07,640 --> 00:31:09,880 Speaker 1: a notification, but you can still, okay, figure out there's 543 00:31:09,880 --> 00:31:11,400 Speaker 1: an air tag near you. Well, that's right, So I 544 00:31:11,480 --> 00:31:14,360 Speaker 1: go back to my first question. They know that Android 545 00:31:14,440 --> 00:31:18,200 Speaker 1: has half the market share and that it's cumbersome for 546 00:31:18,280 --> 00:31:22,040 Speaker 1: an Android user to learn that there's a tracking device 547 00:31:22,080 --> 00:31:24,640 Speaker 1: on them. Yes, so I mean, I mean these Apple 548 00:31:24,920 --> 00:31:29,080 Speaker 1: geeks had no conscience and get this. They also claim 549 00:31:29,480 --> 00:31:32,239 Speaker 1: that the alert to Apple users are inadequate because they 550 00:31:32,240 --> 00:31:34,640 Speaker 1: would not be released for a full seventy two hours 551 00:31:34,680 --> 00:31:36,960 Speaker 1: after an air tag was in range. One of the 552 00:31:37,040 --> 00:31:39,360 Speaker 1: lawyers said, put another way, a victim could have been 553 00:31:39,360 --> 00:31:41,880 Speaker 1: stalked for three days before Apple alerted them of the 554 00:31:41,880 --> 00:31:44,720 Speaker 1: potential danger, right and killed and the body dumped in 555 00:31:44,760 --> 00:31:47,360 Speaker 1: the forest. So you have to have an iPhone, an 556 00:31:47,360 --> 00:31:50,440 Speaker 1: iPad or an iPad Touch that runs the iOS version 557 00:31:50,480 --> 00:31:54,160 Speaker 1: fourteen point five or later in order to have this 558 00:31:54,200 --> 00:31:57,760 Speaker 1: shime work. And the thing is it forced you to 559 00:31:57,840 --> 00:32:00,719 Speaker 1: keep track of something that you don't have. This is 560 00:32:00,800 --> 00:32:04,080 Speaker 1: this is my objection here is that is that somebody 561 00:32:04,080 --> 00:32:06,920 Speaker 1: else gets an air tag and then drops it in 562 00:32:07,040 --> 00:32:10,320 Speaker 1: your purse or attaches it to your car, and you're 563 00:32:10,360 --> 00:32:12,080 Speaker 1: supposed to go out of the way to make sure 564 00:32:12,120 --> 00:32:15,520 Speaker 1: that you are connected to the system properly. And then 565 00:32:15,560 --> 00:32:18,440 Speaker 1: how nuts is that? I guess the response would be 566 00:32:18,520 --> 00:32:20,520 Speaker 1: ninety percent of the time, it works to help people 567 00:32:20,520 --> 00:32:25,400 Speaker 1: find missing items. All right, So a few men use 568 00:32:25,520 --> 00:32:29,680 Speaker 1: it by tracking women, but oh no, it pays. It 569 00:32:30,360 --> 00:32:33,800 Speaker 1: definitely makes huge profits. And they figure every once in 570 00:32:33,800 --> 00:32:35,560 Speaker 1: a while. I'm sure they thought this through that every 571 00:32:35,560 --> 00:32:38,000 Speaker 1: once in a while, Hey, somebody might get raped and murdered. 572 00:32:38,000 --> 00:32:39,880 Speaker 1: There'll be a lawsuit, and that's the cost of doing this. 573 00:32:40,040 --> 00:32:42,160 Speaker 1: Will just settle it. Yeah, yeah, you know. It's it's like, 574 00:32:42,200 --> 00:32:44,080 Speaker 1: when do you know how much they go for these 575 00:32:44,080 --> 00:32:45,720 Speaker 1: air tags? I don't know I've ever bought one, but 576 00:32:46,120 --> 00:32:48,239 Speaker 1: you know, you want, you know something I bought I 577 00:32:48,280 --> 00:32:51,560 Speaker 1: think four of them, and then they're lost in the 578 00:32:51,600 --> 00:32:53,440 Speaker 1: house and I can't find them. I need to set it. 579 00:32:53,480 --> 00:32:56,280 Speaker 1: Oh you need an air tag to find the air tag? Yeah, yeah, 580 00:32:56,320 --> 00:32:57,840 Speaker 1: you know, they go, they went, they fell into a 581 00:32:57,920 --> 00:33:02,440 Speaker 1: black hole. But our kitchen table is where my wife 582 00:33:02,440 --> 00:33:05,320 Speaker 1: does all the house business, right, and then there's a 583 00:33:05,400 --> 00:33:08,800 Speaker 1: bench near her seat, and it's got stacks and stacks 584 00:33:08,800 --> 00:33:12,680 Speaker 1: and stacks of books and paperwork, just all kinds of things. Right, 585 00:33:13,080 --> 00:33:17,800 Speaker 1: it's become a storage corner. Somewhere maybe there, maybe somewhere 586 00:33:17,800 --> 00:33:21,360 Speaker 1: else are the air tags. But I can't find them, 587 00:33:22,120 --> 00:33:25,680 Speaker 1: and I don't know how I can find them. Well, 588 00:33:25,720 --> 00:33:29,400 Speaker 1: here's the creepy story from the Texas woman use She 589 00:33:29,480 --> 00:33:32,640 Speaker 1: had recently ended a three month long relationship in August 590 00:33:32,640 --> 00:33:35,800 Speaker 1: of twenty twenty one, when her ex boyfriend began making 591 00:33:35,840 --> 00:33:39,760 Speaker 1: abusive posts on social media accounts and using fake accounts 592 00:33:39,800 --> 00:33:43,000 Speaker 1: to try to follow her private accounts. He soon started 593 00:33:43,040 --> 00:33:47,320 Speaker 1: calling her from block numbers and leaving threatening voicemails, according 594 00:33:47,320 --> 00:33:51,680 Speaker 1: to the lawsuit, ultimately leaving objects at her home well. 595 00:33:51,800 --> 00:33:54,440 Speaker 1: Fearing her safety, she decided to move in October of 596 00:33:54,520 --> 00:33:58,240 Speaker 1: that year, but when she returned to her hotel, she 597 00:33:58,400 --> 00:34:01,040 Speaker 1: noticed she got a notification on her phone that an 598 00:34:01,120 --> 00:34:05,480 Speaker 1: unknown air tag was nearby. She attempted to engage the feature, 599 00:34:05,600 --> 00:34:08,120 Speaker 1: causing the air tag to beep, but could only get 600 00:34:08,160 --> 00:34:11,359 Speaker 1: it to work one time. She ultimately found the air 601 00:34:11,480 --> 00:34:14,400 Speaker 1: tag in the wheel well of the rear passenger tire 602 00:34:14,480 --> 00:34:17,560 Speaker 1: of her car. About that it was colored with sharpie 603 00:34:17,640 --> 00:34:20,560 Speaker 1: marker and tied up in a plastic baggie. Yeah, and 604 00:34:20,719 --> 00:34:24,320 Speaker 1: she's got to go through all that work to find 605 00:34:24,360 --> 00:34:29,440 Speaker 1: this little spy tag left behind her crazy boyfriend. She's 606 00:34:29,440 --> 00:34:33,279 Speaker 1: got to do all the work. That's ridiculous. It's an 607 00:34:33,360 --> 00:34:37,160 Speaker 1: unwanted outside product which has now become a danger tour. 608 00:34:38,080 --> 00:34:40,600 Speaker 1: She said. All they could do was give a season 609 00:34:40,680 --> 00:34:43,240 Speaker 1: desist order to her stalker when she went to police. 610 00:34:43,480 --> 00:34:46,840 Speaker 1: Fast forward to March, the stalker posted a picture on 611 00:34:46,960 --> 00:34:49,640 Speaker 1: social media is showing a Taco truck in her new 612 00:34:49,640 --> 00:34:53,600 Speaker 1: neighborhood with hashtags referencing her new location and included a 613 00:34:53,600 --> 00:34:58,120 Speaker 1: winking emoji wow with a separate hashtag hashtag air two 614 00:34:58,200 --> 00:35:03,239 Speaker 1: point zero an updated hairtag. There's nothing worse than a 615 00:35:03,320 --> 00:35:06,880 Speaker 1: stalker because that that is such a bizarre mental illness 616 00:35:06,960 --> 00:35:10,440 Speaker 1: And there's no stopping Yeah, and there's there are effective 617 00:35:10,480 --> 00:35:14,080 Speaker 1: laws against them either and it never goes away or 618 00:35:14,120 --> 00:35:16,279 Speaker 1: it's very it takes a long long time for it 619 00:35:16,320 --> 00:35:20,359 Speaker 1: to go away. The Jane Dull woman meanwhile, found first 620 00:35:20,360 --> 00:35:23,720 Speaker 1: found an AirTag and her child's backpack in the summer 621 00:35:23,840 --> 00:35:26,799 Speaker 1: this year, following a contentious divorce in which are a 622 00:35:26,840 --> 00:35:30,440 Speaker 1: strange husband harassed her and challenged her about her whereabouts. 623 00:35:30,600 --> 00:35:33,440 Speaker 1: She tried to disable or otherwise render it ineffective, but 624 00:35:33,920 --> 00:35:37,279 Speaker 1: soon another one showed up at its place. She then 625 00:35:37,320 --> 00:35:39,600 Speaker 1: got a friend to download the Android app to find 626 00:35:39,640 --> 00:35:41,640 Speaker 1: the trackers, but it could not confirm or deny whether 627 00:35:41,640 --> 00:35:44,319 Speaker 1: a specific AirTag was being placed in her child's effects 628 00:35:44,320 --> 00:35:47,799 Speaker 1: by her strange husband. Both women continue to fear for 629 00:35:47,840 --> 00:35:50,400 Speaker 1: their state safety as the stalkers of evidence to commitment 630 00:35:50,800 --> 00:35:53,680 Speaker 1: to continuing use the air air tags to track them. 631 00:35:53,800 --> 00:35:56,680 Speaker 1: Apple is not your friend. Apple made a product that 632 00:35:56,800 --> 00:36:00,320 Speaker 1: makes it easier for stalkers to track their prey and 633 00:36:00,480 --> 00:36:04,560 Speaker 1: makes it difficult for the prey to detect that they're 634 00:36:04,560 --> 00:36:08,200 Speaker 1: being stalked like that. That is a great American corporation, 635 00:36:08,320 --> 00:36:11,680 Speaker 1: isn't it. They also claim in the lawsuit that the 636 00:36:11,719 --> 00:36:15,080 Speaker 1: little chime it sends out is very low toned and 637 00:36:15,160 --> 00:36:17,680 Speaker 1: could be easily confused with something else your phone is doing, 638 00:36:17,880 --> 00:36:19,600 Speaker 1: so you may not be aware right away that it's 639 00:36:19,600 --> 00:36:21,880 Speaker 1: telling me they're in their tag in the area that 640 00:36:21,960 --> 00:36:24,719 Speaker 1: might be tracking. Yes, that's right. That your ex boyfriend 641 00:36:24,760 --> 00:36:29,879 Speaker 1: is chasing you. The world is really nutty, all right, 642 00:36:29,960 --> 00:36:32,960 Speaker 1: Johnny ken kf I am six forty Live Everywhere on 643 00:36:33,000 --> 00:36:34,120 Speaker 1: the iHeartRadio app