1 00:00:00,720 --> 00:00:02,920 Speaker 1: If I am six forty, you're listening to the John 2 00:00:02,960 --> 00:00:08,760 Speaker 1: and Ken Show on demand on the iHeartRadio app. I'm 3 00:00:08,840 --> 00:00:10,719 Speaker 1: Chris MERRILLL I'm in for John of Kent today. I 4 00:00:10,760 --> 00:00:16,400 Speaker 1: am six forty. I hate wildfires. I'm sure you hate wildfires. 5 00:00:16,400 --> 00:00:18,800 Speaker 1: I've met very few people that think they're dynamite, and 6 00:00:18,840 --> 00:00:23,279 Speaker 1: those people are usually ill. I also hate insurance companies. Yeah, 7 00:00:23,320 --> 00:00:25,000 Speaker 1: I do. Well, that's all right. I'm sure you hate 8 00:00:25,000 --> 00:00:27,280 Speaker 1: insurance companies too. I've met very few people that actually 9 00:00:27,320 --> 00:00:32,720 Speaker 1: like insurance companies, and those people are mentally ill. But 10 00:00:32,800 --> 00:00:35,600 Speaker 1: I also hate politicians, and so I've got sort of 11 00:00:35,600 --> 00:00:38,680 Speaker 1: a real dilemma going on right now when a politician 12 00:00:38,760 --> 00:00:44,440 Speaker 1: is trying to grandstand on insurance companies and wildfires. I know, 13 00:00:44,760 --> 00:00:47,279 Speaker 1: it's sort of a it's that Spider Man meme where 14 00:00:47,280 --> 00:00:50,000 Speaker 1: you've got three Spider Man pointing at each other like 15 00:00:50,320 --> 00:00:54,920 Speaker 1: you're the problem, You're the problem, You're the problem. Yeah. Actually, 16 00:00:54,960 --> 00:00:58,800 Speaker 1: wildfires are probably the least guilty of all the things 17 00:00:58,800 --> 00:01:03,680 Speaker 1: I dislike, because they're naturally or they're brought about because 18 00:01:03,680 --> 00:01:07,440 Speaker 1: of stupid humans. Either way, wildfires didn't mean to piss 19 00:01:07,440 --> 00:01:12,840 Speaker 1: you off. They just did. Insurance companies don't care. Politicians 20 00:01:12,920 --> 00:01:16,760 Speaker 1: make money off you being upset. Wildfires. They just burn things. 21 00:01:17,319 --> 00:01:19,360 Speaker 1: Wildfires are the most innocent of those three things that 22 00:01:19,400 --> 00:01:21,320 Speaker 1: I dislike. Here, let me tell you why I'm going 23 00:01:21,319 --> 00:01:26,520 Speaker 1: on this weird tangent. We have another lawmaker that has 24 00:01:26,560 --> 00:01:34,039 Speaker 1: decided wildfire's bad. Insurance companies worse. CBS is reporting that 25 00:01:36,560 --> 00:01:42,000 Speaker 1: after we lost All State and State Farm, Maxine Waters 26 00:01:42,319 --> 00:01:46,640 Speaker 1: has stepped up to say, those insurance companies, how dare they? 27 00:01:47,840 --> 00:01:50,080 Speaker 1: And yeah, there's a part of me that says, yeah, 28 00:01:50,240 --> 00:01:53,640 Speaker 1: screw those insurance companies, but also, what are you doing? 29 00:01:53,960 --> 00:01:57,240 Speaker 1: What's going on here? So Maxine Water says she wants 30 00:01:57,280 --> 00:02:01,600 Speaker 1: the Federal Insurance Office to investigate whether the claims that 31 00:02:01,640 --> 00:02:04,320 Speaker 1: the insurance companies are making, which is basically that they 32 00:02:04,360 --> 00:02:06,960 Speaker 1: can't make any money because of wildfires it's too expensive, 33 00:02:07,880 --> 00:02:12,560 Speaker 1: are legitimate. So if you can't get insurance from All 34 00:02:12,600 --> 00:02:16,240 Speaker 1: State or from State Farm or any other private insurers, 35 00:02:16,240 --> 00:02:18,359 Speaker 1: you end up with the California Fair Plan, which is 36 00:02:18,560 --> 00:02:26,000 Speaker 1: not fair. It sucks, but it's something. The criticisms, of course, 37 00:02:26,000 --> 00:02:28,440 Speaker 1: that it's very expensive and it doesn't really cover as 38 00:02:28,480 --> 00:02:34,240 Speaker 1: much as you needed to cover. Insurance companies have made 39 00:02:34,240 --> 00:02:37,160 Speaker 1: money from collecting payments over the years, but now that 40 00:02:37,200 --> 00:02:43,040 Speaker 1: it's become riskier, they're just leaving. Okay, what's the problem here? 41 00:02:44,160 --> 00:02:47,120 Speaker 1: Waters quote? Millions of people have been paying premiums for 42 00:02:47,200 --> 00:02:50,000 Speaker 1: many years, and the insurance companies have invested those premiums 43 00:02:50,000 --> 00:02:51,760 Speaker 1: and they've earned a lot of money, and the insurance 44 00:02:51,760 --> 00:02:55,640 Speaker 1: companies are very rich because of their investments. She's not wrong, 45 00:02:57,000 --> 00:03:02,480 Speaker 1: But isn't that the nature of insuranceance? The answer is yes, 46 00:03:03,480 --> 00:03:06,000 Speaker 1: Water says. And so what they're basically saying is, despite 47 00:03:06,040 --> 00:03:07,639 Speaker 1: the fact we've made a lot of money on those 48 00:03:07,639 --> 00:03:10,640 Speaker 1: premiums that we didn't have to pay off on for 49 00:03:10,680 --> 00:03:13,959 Speaker 1: many years, we're going to leave. And we're saying no, 50 00:03:14,440 --> 00:03:20,519 Speaker 1: that's not right. So politician says, insurance companies are being 51 00:03:20,600 --> 00:03:26,040 Speaker 1: unfair because of more wildfires. My take on the whole 52 00:03:26,040 --> 00:03:29,360 Speaker 1: wildfire and insurance companies leaving thing is that sucks. 53 00:03:30,840 --> 00:03:31,640 Speaker 2: It does. 54 00:03:33,639 --> 00:03:37,200 Speaker 1: You try to listen. You saved up your whole life, 55 00:03:37,400 --> 00:03:40,760 Speaker 1: you got your dream place, you got a little bit 56 00:03:40,800 --> 00:03:44,560 Speaker 1: of land. You're outside of the city lights. I get it. 57 00:03:44,600 --> 00:03:46,960 Speaker 1: That's awesome. You dreamed about it, you worked hard, you 58 00:03:47,040 --> 00:03:49,160 Speaker 1: squirrelled money away for a long time, and now you're 59 00:03:49,160 --> 00:03:53,520 Speaker 1: in an area that is fire prone, and getting insurance 60 00:03:53,520 --> 00:03:57,800 Speaker 1: for that is nearly impossible. I feel for you, I 61 00:03:57,960 --> 00:04:05,760 Speaker 1: absolutely do, and it sucks. Have the insurance companies done 62 00:04:05,880 --> 00:04:10,680 Speaker 1: something wrong? Though? Now maybe you're upset the insurance companies 63 00:04:10,680 --> 00:04:14,040 Speaker 1: are saying, well, we're not making enough money. It's your 64 00:04:14,120 --> 00:04:16,840 Speaker 1: right to be upset. I got no problems with you 65 00:04:16,920 --> 00:04:21,080 Speaker 1: being upset about that. I'm frustrated with it too. But 66 00:04:21,200 --> 00:04:25,080 Speaker 1: the insurance companies, we don't live in a socialist society. 67 00:04:26,320 --> 00:04:31,000 Speaker 1: We don't live in a world where the government tells 68 00:04:31,120 --> 00:04:36,520 Speaker 1: businesses where and how they have to operate. Water seems 69 00:04:36,520 --> 00:04:40,640 Speaker 1: to think, yeah, well we should. Waters is looking to 70 00:04:40,760 --> 00:04:44,760 Speaker 1: incentives for insurance companies, so they'll start writing new policies again. 71 00:04:44,880 --> 00:04:51,400 Speaker 1: Oh oh, that's called a subsidy. She's proposing homeowners do 72 00:04:51,480 --> 00:04:53,880 Speaker 1: a better job at clearing brush surrounding their homes and 73 00:04:53,960 --> 00:04:57,880 Speaker 1: using more fire resistant building materials. Okay, that's reasonable, that's great. 74 00:04:58,200 --> 00:05:02,000 Speaker 1: Change some of the state code. Good. Change building code 75 00:05:02,000 --> 00:05:06,360 Speaker 1: to make it more fire resistant. That's fine. She says. 76 00:05:06,400 --> 00:05:09,120 Speaker 1: She wants to establish areas that are unbuildable due to 77 00:05:09,160 --> 00:05:15,400 Speaker 1: wildfire risk. Okay, all right, right, I got you. We 78 00:05:15,400 --> 00:05:18,480 Speaker 1: would call that zoning. Okay, you can say, all right, 79 00:05:18,520 --> 00:05:23,560 Speaker 1: this is non residential zoning. Why have is it zoned 80 00:05:23,600 --> 00:05:26,560 Speaker 1: that way because of risk? That's fine, Okay. So these 81 00:05:26,600 --> 00:05:31,400 Speaker 1: are actionable plans, right, change the building codes, rezone some 82 00:05:31,560 --> 00:05:36,000 Speaker 1: areas so that you can't build there. But this idea 83 00:05:36,080 --> 00:05:37,880 Speaker 1: that she's going to look at the insurance companies and 84 00:05:37,920 --> 00:05:41,000 Speaker 1: tis tisk them because they've decided it's not a good 85 00:05:41,000 --> 00:05:44,080 Speaker 1: business model doesn't make a whole lot of sense, does it. 86 00:05:46,680 --> 00:05:52,560 Speaker 1: Have they done something wrong? Look, if it's simply a 87 00:05:52,680 --> 00:05:57,960 Speaker 1: matter of ethics, well, that's one thing, right, And I 88 00:05:58,000 --> 00:05:59,600 Speaker 1: think we have every right in the world to say 89 00:05:59,640 --> 00:06:03,080 Speaker 1: these surance companies are greedy. I'm with you. I told 90 00:06:03,080 --> 00:06:06,200 Speaker 1: you I don't like insurance companies. I don't like wildfires, 91 00:06:06,200 --> 00:06:08,400 Speaker 1: and I don't like insurance companies. I don't like politicians either, though, 92 00:06:08,400 --> 00:06:11,520 Speaker 1: and especially when politicians say, hey, nobody likes insurance companies. 93 00:06:11,520 --> 00:06:14,200 Speaker 1: Why don't I grandstand on this? And that's what's happening, 94 00:06:14,760 --> 00:06:17,640 Speaker 1: And here's why I say it. Waters even acknowledged that 95 00:06:17,800 --> 00:06:23,520 Speaker 1: insurance companies cannot be forced to do business here, but 96 00:06:23,640 --> 00:06:26,360 Speaker 1: she does want the Federal Insurance Office to investigate whether 97 00:06:26,400 --> 00:06:31,240 Speaker 1: there are any antitrust laws that have been violated. She's 98 00:06:31,279 --> 00:06:35,800 Speaker 1: not specific about an anti trust law. She's fishing. What's 99 00:06:35,839 --> 00:06:38,880 Speaker 1: happening is Waters is putting out a statement and she's saying, 100 00:06:38,920 --> 00:06:42,600 Speaker 1: you know what, I don't like that the insurance companies. Yeah, 101 00:06:42,600 --> 00:06:44,920 Speaker 1: that these insurers have left. I don't like that they've 102 00:06:44,960 --> 00:06:48,200 Speaker 1: taken off. So I'm going to start phishing and see 103 00:06:48,200 --> 00:06:52,440 Speaker 1: if there's anything that I can do to punish them 104 00:06:52,480 --> 00:07:02,159 Speaker 1: for it. The deal is this, though, It's how business 105 00:07:02,200 --> 00:07:09,479 Speaker 1: works when profit declines and risk increases. Right, you sit 106 00:07:09,600 --> 00:07:11,960 Speaker 1: down and you've got your business calculus, and you say, 107 00:07:12,040 --> 00:07:17,520 Speaker 1: risk reward. Pretty simple, risk reward. What are the chances 108 00:07:17,560 --> 00:07:19,640 Speaker 1: I can sell my product? What are the chances I 109 00:07:19,680 --> 00:07:22,360 Speaker 1: make money on my product? Right? How much do I 110 00:07:22,360 --> 00:07:23,680 Speaker 1: have to put in? How much am I going to 111 00:07:23,720 --> 00:07:28,320 Speaker 1: get out? Risk reward? It's very simple business, one on one, right. 112 00:07:29,280 --> 00:07:33,560 Speaker 1: So if your risk reward ratio isn't such that you're 113 00:07:33,560 --> 00:07:37,640 Speaker 1: making money, it's time to reinvest into something safer and 114 00:07:37,680 --> 00:07:41,720 Speaker 1: more profitable. Here's a bad analogy, because I love bad analogies. 115 00:07:43,600 --> 00:07:47,280 Speaker 1: Suppose you work in a different sector, right, Suppose that 116 00:07:47,320 --> 00:07:51,280 Speaker 1: you are like a tax specialist. All right, you're a 117 00:07:51,360 --> 00:07:53,680 Speaker 1: tax specialist. You're smart, you're great with numbers. You're a 118 00:07:53,760 --> 00:07:59,440 Speaker 1: tax specialist, and you help people navigate the tax world. 119 00:08:00,080 --> 00:08:03,120 Speaker 1: But then suppose that the Democrats increase the number of 120 00:08:03,240 --> 00:08:06,040 Speaker 1: audits right something that they want to do, and the 121 00:08:06,080 --> 00:08:09,040 Speaker 1: Republicans reduce tax returns to the size of a postcard. 122 00:08:09,280 --> 00:08:11,360 Speaker 1: Both parties have said this is what we're going to do. 123 00:08:11,880 --> 00:08:15,240 Speaker 1: Suppose both of them get what they want, more audits, 124 00:08:16,040 --> 00:08:19,480 Speaker 1: but very little as far as tax preparation goes. Now, 125 00:08:19,520 --> 00:08:21,920 Speaker 1: as a tax specialist, how long are you going to 126 00:08:21,920 --> 00:08:23,840 Speaker 1: be in business when nobody needs you to do their 127 00:08:23,880 --> 00:08:27,560 Speaker 1: taxes and the people that do need you are constantly 128 00:08:27,600 --> 00:08:32,520 Speaker 1: being audited. You'd probably take your financial skills elsewhere, right, 129 00:08:32,600 --> 00:08:36,319 Speaker 1: like banking, or go be the CFO of something, maybe 130 00:08:36,400 --> 00:08:39,880 Speaker 1: become a hedge fund manager. I mean, yeah, you can 131 00:08:39,920 --> 00:08:42,920 Speaker 1: probably make good money now doing taxes, but once the 132 00:08:43,080 --> 00:08:46,240 Speaker 1: environment changes, you change with it to do what's in 133 00:08:46,280 --> 00:08:49,240 Speaker 1: your own best interest. Sucks for your clients who who 134 00:08:49,280 --> 00:08:51,280 Speaker 1: are being audited. They need your help, but you're making 135 00:08:51,280 --> 00:08:54,960 Speaker 1: more money as a CFO somewhere else. That's their problem 136 00:08:55,080 --> 00:08:58,840 Speaker 1: for filling out their postcard tax return. Wrong. This is 137 00:08:59,000 --> 00:09:04,240 Speaker 1: basic knowledge. And when she says that she well, yes, 138 00:09:04,320 --> 00:09:06,960 Speaker 1: I know that insurance companies can't be forced to do 139 00:09:07,040 --> 00:09:13,600 Speaker 1: business here, she's grand standing. That's one hundred percent what 140 00:09:13,679 --> 00:09:16,680 Speaker 1: it is. But we can all agree we don't like 141 00:09:16,679 --> 00:09:19,800 Speaker 1: the insurance companies left, we don't like wildfires. But can 142 00:09:19,840 --> 00:09:22,400 Speaker 1: we also agree we don't like politicians grand standing on 143 00:09:22,440 --> 00:09:26,160 Speaker 1: these things. It's KFI AM six forty live everywhere on 144 00:09:26,200 --> 00:09:27,120 Speaker 1: your iHeartRadio AP. 145 00:09:27,960 --> 00:09:31,280 Speaker 2: You're listening to John and Ken on demand from KFI 146 00:09:31,520 --> 00:09:32,800 Speaker 2: AM six forty. 147 00:09:34,200 --> 00:09:36,920 Speaker 1: Chris Maryland for Johnay can hate Debraah, guess what I 148 00:09:36,960 --> 00:09:40,880 Speaker 1: just found out? I had no idea what. It just 149 00:09:40,920 --> 00:09:43,840 Speaker 1: blew my mind, blew your You know, the amount of 150 00:09:43,960 --> 00:09:48,680 Speaker 1: light in the day today changes based on how far 151 00:09:48,840 --> 00:09:49,760 Speaker 1: north or south you are? 152 00:09:51,000 --> 00:09:52,320 Speaker 3: Yes? And do you know what time? 153 00:09:52,480 --> 00:09:53,160 Speaker 1: Do you know that? 154 00:09:53,280 --> 00:09:56,560 Speaker 3: Okay? What do you know? What time the sunsets today? 155 00:09:57,520 --> 00:09:58,160 Speaker 1: Eight fifteen? 156 00:09:58,880 --> 00:10:01,520 Speaker 3: I think it's eight o five or eight oh wak 157 00:10:01,640 --> 00:10:02,400 Speaker 3: oh okay. 158 00:10:02,559 --> 00:10:04,480 Speaker 1: Yeah, I felt like that was a good guess. 159 00:10:04,559 --> 00:10:07,320 Speaker 3: Yeah that is Actually it is. Today's the longest day 160 00:10:07,360 --> 00:10:08,160 Speaker 3: of the year too. 161 00:10:08,520 --> 00:10:10,200 Speaker 1: Right, That's why I bring this up. What I didn't 162 00:10:10,240 --> 00:10:12,120 Speaker 1: realize though, and I don't have the number exactly in 163 00:10:12,160 --> 00:10:16,080 Speaker 1: front of me here but like the daylight in for instance, 164 00:10:16,080 --> 00:10:20,440 Speaker 1: San Francisco is more than what it is here, and 165 00:10:20,559 --> 00:10:23,080 Speaker 1: the daylight in Seattle is longer than what it is 166 00:10:23,280 --> 00:10:28,360 Speaker 1: today in San Francisco. I probably should have known that. 167 00:10:28,400 --> 00:10:30,120 Speaker 3: Well, I don't really think about that, so I don't 168 00:10:30,120 --> 00:10:30,400 Speaker 3: blame it. 169 00:10:30,400 --> 00:10:32,679 Speaker 1: I don't either. Yeah, I just think, longest day of 170 00:10:32,720 --> 00:10:35,960 Speaker 1: the year. Everybody gets fifteen hours of daylight or something today, right, 171 00:10:36,000 --> 00:10:37,319 Speaker 1: I just thought everybody got the same thing. 172 00:10:37,360 --> 00:10:40,400 Speaker 3: And it's such a beautiful day for this to happen. Also, 173 00:10:40,559 --> 00:10:42,040 Speaker 3: I mean, I can't wait till I get off the 174 00:10:42,040 --> 00:10:44,719 Speaker 3: air because I'm going to soak up that sun for longer. 175 00:10:44,480 --> 00:10:47,280 Speaker 1: I know, with all that crud cloud cover that we've had, Oh, 176 00:10:47,280 --> 00:10:48,600 Speaker 1: I know for so long. 177 00:10:48,679 --> 00:10:51,280 Speaker 3: Although tomorrow, can you believe this? Tomorrow it's back. 178 00:10:52,440 --> 00:10:54,280 Speaker 1: Well, we'll take it today. I mean, if you got 179 00:10:54,280 --> 00:10:55,320 Speaker 1: to pick a day, you pick the one that has 180 00:10:55,320 --> 00:10:55,880 Speaker 1: the most daylight. 181 00:10:55,960 --> 00:10:57,640 Speaker 3: That's right, absolutely, first day of stuff. 182 00:10:57,679 --> 00:11:00,360 Speaker 1: Yeah, yeah, yeah, so we'll take that. I don't take 183 00:11:00,400 --> 00:11:02,680 Speaker 1: that a little bit, A little bit. It's better better 184 00:11:02,720 --> 00:11:06,880 Speaker 1: than nothing. Yeah. Anyway, I consider myself to be of 185 00:11:07,320 --> 00:11:10,440 Speaker 1: at least average intelligence, and I don't know why it 186 00:11:10,480 --> 00:11:12,880 Speaker 1: never crossed my mind that. Of course, the farther north 187 00:11:12,880 --> 00:11:14,959 Speaker 1: you go, the longer the day would be. And Eric 188 00:11:14,960 --> 00:11:16,400 Speaker 1: and I were talking about it off the aas, Yeah, 189 00:11:16,400 --> 00:11:19,880 Speaker 1: it's like when you're in Alaska and it's light, you know, 190 00:11:19,960 --> 00:11:23,959 Speaker 1: the whole day. Yeah, of course, duh. Well, just never 191 00:11:24,000 --> 00:11:28,720 Speaker 1: really thought of it that way. And look, I'm raised kids. Normally, 192 00:11:28,800 --> 00:11:30,640 Speaker 1: these stupid fun facts are the sorts of things you 193 00:11:30,679 --> 00:11:33,080 Speaker 1: present to a third grader and they're blown away. But 194 00:11:33,160 --> 00:11:36,200 Speaker 1: here I am middle aged man, and I'm blown away 195 00:11:36,200 --> 00:11:36,920 Speaker 1: by it right now. 196 00:11:36,960 --> 00:11:39,600 Speaker 3: I'm sure that we learned it in school. I can't 197 00:11:39,640 --> 00:11:42,520 Speaker 3: tell you how many things that I assume that I 198 00:11:42,640 --> 00:11:45,320 Speaker 3: learned when I was in high school that I don't remember. 199 00:11:45,360 --> 00:11:45,560 Speaker 1: Now. 200 00:11:45,760 --> 00:11:46,960 Speaker 3: That's why we have the Google. 201 00:11:48,440 --> 00:11:51,640 Speaker 1: You're right, that's why we have the Google. 202 00:11:51,840 --> 00:11:53,960 Speaker 3: Exactly correct. 203 00:11:54,520 --> 00:11:57,600 Speaker 1: Incidentally, speaking of the Google, good segue, did you know 204 00:11:57,640 --> 00:12:03,200 Speaker 1: that you can apply for the the Google Settlement if 205 00:12:03,320 --> 00:12:07,600 Speaker 1: you if you did the Google between I think it's 206 00:12:07,640 --> 00:12:10,040 Speaker 1: October two thousand and six and September of twenty thirteen. 207 00:12:10,040 --> 00:12:11,760 Speaker 1: I just had this story this weekend. I was on 208 00:12:12,440 --> 00:12:14,720 Speaker 1: and I just had this story. And if you had 209 00:12:14,760 --> 00:12:19,840 Speaker 1: the Google, basically, they weren't doing things quite like they 210 00:12:19,840 --> 00:12:22,280 Speaker 1: were supposed to, and some of your information may have 211 00:12:22,320 --> 00:12:26,400 Speaker 1: been potentially compromised. And so now there's a settlement. 212 00:12:26,760 --> 00:12:28,600 Speaker 3: Did we get something in the mail to fill out? 213 00:12:28,640 --> 00:12:30,920 Speaker 3: Because now I don't remember. Usually when I get something 214 00:12:31,040 --> 00:12:32,960 Speaker 3: like that, I fill it out right away and then 215 00:12:32,960 --> 00:12:33,800 Speaker 3: I forget about it. 216 00:12:34,280 --> 00:12:36,440 Speaker 1: Of course you do, which makes perfect sense because then 217 00:12:36,440 --> 00:12:38,240 Speaker 1: you're surprised later on when you get something. 218 00:12:38,280 --> 00:12:40,000 Speaker 3: Oh, I know, it's the most exciting thing. 219 00:12:40,640 --> 00:12:44,679 Speaker 1: Yes, some cash. So you have to go to refer 220 00:12:45,480 --> 00:12:47,120 Speaker 1: Oh man, I always say I said this wrong over 221 00:12:47,160 --> 00:12:56,240 Speaker 1: the weekend too. Referrer header settlement dot com. Referer header 222 00:12:56,760 --> 00:13:03,640 Speaker 1: settlement dot com. And basically what happens is if you 223 00:13:03,920 --> 00:13:06,559 Speaker 1: clicked on any Google search results between twenty six and 224 00:13:06,600 --> 00:13:10,120 Speaker 1: twenty thirteen, you can get a piece of the settlement. 225 00:13:10,320 --> 00:13:14,200 Speaker 1: It's a twenty three million dollar settlement. According to the site, 226 00:13:14,240 --> 00:13:18,240 Speaker 1: they estimate that your payout would be about seven dollars 227 00:13:18,320 --> 00:13:24,240 Speaker 1: seventy cents. I think that's wrong because how many of 228 00:13:24,320 --> 00:13:28,400 Speaker 1: us legitimately clicked on a Google link between two thousand 229 00:13:28,440 --> 00:13:31,439 Speaker 1: and six and twenty thirteen, And then how many people 230 00:13:31,480 --> 00:13:35,880 Speaker 1: just fill out civil suit settlement claims all the time anyway, 231 00:13:36,360 --> 00:13:39,440 Speaker 1: all of us? But hey did you drink milk in 232 00:13:39,440 --> 00:13:41,959 Speaker 1: the year two thousand and four. Sure I did. I'll 233 00:13:42,000 --> 00:13:45,319 Speaker 1: just say yeah, of course I did, right, just fill 234 00:13:45,360 --> 00:13:48,360 Speaker 1: out everything. Well, anyway, the way the deal on this 235 00:13:48,480 --> 00:13:51,360 Speaker 1: with the Google is this settlement is basically they were 236 00:13:51,520 --> 00:13:56,680 Speaker 1: they violated their own privacy, you know the click on 237 00:13:56,720 --> 00:13:59,160 Speaker 1: this and agree to old terms. They violated their own 238 00:13:59,240 --> 00:14:03,040 Speaker 1: privacy play and so they have to pay out. So 239 00:14:03,080 --> 00:14:06,200 Speaker 1: they did this, They did this settlement. They admit no wrongdoing. 240 00:14:06,679 --> 00:14:08,360 Speaker 1: They pay twenty three million dollars to make it all 241 00:14:08,360 --> 00:14:10,640 Speaker 1: go away, to resolve the class action lawsuit. The lawyer 242 00:14:10,760 --> 00:14:13,000 Speaker 1: is going to take their big chunk out of everything, 243 00:14:13,559 --> 00:14:16,120 Speaker 1: and then we get to split up whatever else is left. 244 00:14:17,080 --> 00:14:20,080 Speaker 1: But the whole thing is just twenty three million dollars. 245 00:14:20,480 --> 00:14:22,280 Speaker 1: And I'm assuming I don't have the number right in 246 00:14:22,320 --> 00:14:24,200 Speaker 1: front of me. I could probably pull the entire document. 247 00:14:24,240 --> 00:14:27,240 Speaker 1: But I'm assuming that the lawyer payout on this is 248 00:14:27,360 --> 00:14:31,480 Speaker 1: probably in the neighborhood of six seven eight million dollars. 249 00:14:32,880 --> 00:14:36,720 Speaker 1: So if that's the case, that means fifteen million dollars 250 00:14:37,040 --> 00:14:42,640 Speaker 1: to be split among anybody that's left. Well, anybody that's 251 00:14:42,680 --> 00:14:47,840 Speaker 1: left is three hundred million people in America. Last I checked, 252 00:14:47,880 --> 00:14:51,040 Speaker 1: fifteen million was lot less than three hundred million, So 253 00:14:51,200 --> 00:14:57,120 Speaker 1: I don't know exactly how they figure everybody's going to 254 00:14:57,160 --> 00:15:00,680 Speaker 1: get seven dollars and seventy cents. Doesn't make a whole 255 00:15:00,680 --> 00:15:03,000 Speaker 1: lot of sense to me. I guess what I can 256 00:15:03,040 --> 00:15:04,640 Speaker 1: do is google it to try to find the answer. 257 00:15:05,120 --> 00:15:06,920 Speaker 1: But then I feel like I'm stuck in a catch 258 00:15:06,960 --> 00:15:10,240 Speaker 1: twenty two. Just all of a sudden, my world starts spinning, 259 00:15:10,280 --> 00:15:12,320 Speaker 1: like I have to Google to find out how much 260 00:15:12,360 --> 00:15:16,680 Speaker 1: Google has to pay me for googling, and I end 261 00:15:16,760 --> 00:15:18,440 Speaker 1: up in one of those syntax errors, and I just 262 00:15:18,480 --> 00:15:25,720 Speaker 1: start to spin. It's a it's a disastrous, a disastrous circumstance. 263 00:15:27,520 --> 00:15:29,440 Speaker 1: I have to tell you about this story, and I 264 00:15:29,440 --> 00:15:31,200 Speaker 1: will hear just a few moments. I have to pause 265 00:15:31,200 --> 00:15:33,320 Speaker 1: and let the deb tell you about important things happening. 266 00:15:33,760 --> 00:15:35,720 Speaker 1: But I have to tell you that sometimes the story 267 00:15:35,760 --> 00:15:40,000 Speaker 1: will come down that you can take a look at 268 00:15:40,200 --> 00:15:42,880 Speaker 1: and know exactly how this is going to play out 269 00:15:42,960 --> 00:15:45,560 Speaker 1: over the course of the next ten, twenty, thirty, forty 270 00:15:45,640 --> 00:15:50,520 Speaker 1: fifty years. One such story dropped today, and you don't 271 00:15:50,520 --> 00:15:53,120 Speaker 1: have to be nostrodamus to see exactly where this is going. 272 00:15:53,560 --> 00:15:56,360 Speaker 1: That's next. Chris merrill In for Johnny Ken k I 273 00:15:56,480 --> 00:15:59,600 Speaker 1: AM six forty live everywhere in your iHeartRadio app. 274 00:16:00,640 --> 00:16:03,920 Speaker 2: You're listening to John and Ken on demand from kf 275 00:16:03,960 --> 00:16:05,720 Speaker 2: I AM sixty. 276 00:16:06,760 --> 00:16:09,720 Speaker 1: Chris merrill In for the Boys KFIM six forty more 277 00:16:09,840 --> 00:16:13,960 Speaker 1: stimulating talk. Sometimes the story comes along and you go, well, 278 00:16:14,040 --> 00:16:17,800 Speaker 1: I know exactly how this is going to end. Sometimes 279 00:16:17,800 --> 00:16:21,040 Speaker 1: it happens. And that is what happened today when all 280 00:16:21,120 --> 00:16:22,920 Speaker 1: of a sudden I saw it. It popped up in a 281 00:16:23,000 --> 00:16:25,840 Speaker 1: number of different places. They're just cut, copying and pasting 282 00:16:26,920 --> 00:16:31,480 Speaker 1: basically the same story as a headline. US regulators approved 283 00:16:31,720 --> 00:16:35,760 Speaker 1: sale of lab grown meat. That's from the AP. What 284 00:16:35,800 --> 00:16:36,120 Speaker 1: was it that. 285 00:16:36,320 --> 00:16:38,200 Speaker 3: I'm sorry, I didn't know my mic was on. 286 00:16:38,920 --> 00:16:46,600 Speaker 1: Oh sorry, I love you. Don't get her started. 287 00:16:46,360 --> 00:16:49,280 Speaker 3: Chris, Chris knows all about me. 288 00:16:49,480 --> 00:16:53,160 Speaker 1: Eric, Okay, so hold on. You don't like the lab 289 00:16:53,200 --> 00:16:56,280 Speaker 1: grown meat idea? Here? There were no animals are harmed. 290 00:16:55,920 --> 00:16:58,600 Speaker 3: In the I like that part of it, but I 291 00:16:58,720 --> 00:17:05,200 Speaker 3: just the thought of eating anything that even resembles what 292 00:17:05,320 --> 00:17:07,680 Speaker 3: was an animal just just grosses me out. 293 00:17:08,080 --> 00:17:12,800 Speaker 1: Oh okay, all right, but it never lived. No, I 294 00:17:12,880 --> 00:17:13,960 Speaker 1: never had a consciousness. 295 00:17:14,000 --> 00:17:17,719 Speaker 3: I get that, I really do, But I I just 296 00:17:17,840 --> 00:17:21,160 Speaker 3: I enjoy the way I eat, which will not include 297 00:17:21,200 --> 00:17:23,680 Speaker 3: any kind of lab grown meat. 298 00:17:23,880 --> 00:17:27,000 Speaker 1: Okay, so there's yeah, I get what you're saying, right, 299 00:17:27,080 --> 00:17:29,400 Speaker 1: Like initially you say, well, I don't want to eat 300 00:17:29,400 --> 00:17:32,240 Speaker 1: anything that had a face. Yes, right, I get that. 301 00:17:32,560 --> 00:17:34,800 Speaker 1: In this case, there is no face, But it's the 302 00:17:34,960 --> 00:17:39,200 Speaker 1: lab grown aspect of it that's a little bit icky. Yes, right, Yeah, 303 00:17:39,520 --> 00:17:42,480 Speaker 1: I'm in the same boat on the whole ickiness. And 304 00:17:43,160 --> 00:17:47,880 Speaker 1: the USDA or the AGG Department, I guess has now said, yeah, 305 00:17:47,880 --> 00:17:49,960 Speaker 1: that's cool. So there's a it's a couple of California 306 00:17:50,040 --> 00:17:52,639 Speaker 1: companies that are going to do this lab grown meat. Now, 307 00:17:52,680 --> 00:17:58,719 Speaker 1: if you're unfamiliar with this, they cultivate cells, and just 308 00:17:58,800 --> 00:18:02,320 Speaker 1: that sounds so discos, doesn't it, right, But what is 309 00:18:02,359 --> 00:18:05,159 Speaker 1: it really? I mean, you could cultivate cells by simply 310 00:18:05,200 --> 00:18:08,640 Speaker 1: cracking an egg, for instance, right, but crack an egg, 311 00:18:08,760 --> 00:18:12,399 Speaker 1: that's it. No chickens were harmed in the cultivation of 312 00:18:12,440 --> 00:18:12,800 Speaker 1: this cell. 313 00:18:12,960 --> 00:18:15,959 Speaker 3: No, but it's taking the animal cells though, So there 314 00:18:16,080 --> 00:18:18,200 Speaker 3: still is that animal component there. 315 00:18:19,320 --> 00:18:21,760 Speaker 1: Well, that kind of has to be to make meat. 316 00:18:21,520 --> 00:18:24,200 Speaker 1: But no animals were harmed in the making of this meat. 317 00:18:24,320 --> 00:18:27,520 Speaker 3: I get it, I really do. I get that, but 318 00:18:27,680 --> 00:18:29,439 Speaker 3: I still can't wrap my head around that. 319 00:18:30,160 --> 00:18:33,000 Speaker 1: See, I'm not smart enough scientifically. And this is where 320 00:18:33,080 --> 00:18:34,639 Speaker 1: I think a lot of us have an issue with 321 00:18:34,800 --> 00:18:39,240 Speaker 1: adoption of this technology. We go, Okay, wait a minute, 322 00:18:39,320 --> 00:18:41,600 Speaker 1: you're gonna try to serve me real chicken that is 323 00:18:41,640 --> 00:18:46,520 Speaker 1: not a real chicken. My brain doesn't compute that. I 324 00:18:46,520 --> 00:18:50,320 Speaker 1: don't really get it. According to the co founder and 325 00:18:50,400 --> 00:18:54,800 Speaker 1: chief executive of eat Just, which operates a company called 326 00:18:54,840 --> 00:18:57,760 Speaker 1: good Meat, instead of all that land and all of 327 00:18:57,760 --> 00:19:00,000 Speaker 1: that water that's used to feed all of the animals 328 00:19:00,160 --> 00:19:02,359 Speaker 1: that are slaughtered, we can do it in a different way. 329 00:19:02,520 --> 00:19:04,159 Speaker 1: How what do you suppose if we replace all of 330 00:19:04,200 --> 00:19:05,520 Speaker 1: the animals that are on the farms right now? What 331 00:19:05,520 --> 00:19:07,120 Speaker 1: are you suppose gonna happen those animals? You think they're 332 00:19:07,119 --> 00:19:08,000 Speaker 1: just gonna set them free? 333 00:19:08,320 --> 00:19:10,920 Speaker 3: I would hope though, send them to some sanctuaries. I 334 00:19:11,680 --> 00:19:15,000 Speaker 3: don't want any mass killings. There will be, Yeah, well 335 00:19:15,000 --> 00:19:15,639 Speaker 3: there shouldn't be. 336 00:19:16,640 --> 00:19:19,560 Speaker 1: There will be now. And here's why I say this. 337 00:19:19,640 --> 00:19:21,119 Speaker 1: I don't want to I don't mean to get too 338 00:19:21,160 --> 00:19:24,280 Speaker 1: far ahead of myself here, but there are a number 339 00:19:24,320 --> 00:19:28,119 Speaker 1: of companies that are looking at developing the meat from cells, 340 00:19:28,160 --> 00:19:31,000 Speaker 1: not just chicken, but pork, lam fish and beef right, 341 00:19:31,119 --> 00:19:33,920 Speaker 1: all of the different meats. And one of these companies, 342 00:19:34,040 --> 00:19:36,720 Speaker 1: Upside is in Berkeley. They've got a seventy thousand square 343 00:19:36,760 --> 00:19:41,439 Speaker 1: foot building in Emeryville, and so visitors went in, they 344 00:19:41,440 --> 00:19:43,639 Speaker 1: took a look. They went, wow, this is amazing. And 345 00:19:43,680 --> 00:19:47,800 Speaker 1: the chef there sauteed a cultivated chicken file at or 346 00:19:47,840 --> 00:19:50,560 Speaker 1: a CCF. I'm calling it that nobody else is, but 347 00:19:50,680 --> 00:19:52,920 Speaker 1: we might as well. Let's just give it fun little acronyms. 348 00:19:52,920 --> 00:19:56,280 Speaker 1: Oh would you like our CCF chicken? Oh, wonderful. And 349 00:19:56,440 --> 00:19:59,920 Speaker 1: so he's got a wine and butter sauce, some tamato 350 00:20:00,520 --> 00:20:05,920 Speaker 1: and capers along with green onions on top. M delish. 351 00:20:05,960 --> 00:20:09,480 Speaker 1: And the people they took a bite, they said, it 352 00:20:09,680 --> 00:20:13,560 Speaker 1: smells like chicken. And they take a bite and they go, oh, 353 00:20:13,760 --> 00:20:18,679 Speaker 1: it tastes like chicken, to which the chef said, that's 354 00:20:18,720 --> 00:20:23,680 Speaker 1: because it's chicken. Ding dong. So all of these things, 355 00:20:23,720 --> 00:20:25,240 Speaker 1: and again we've got a little bit of a hiccup 356 00:20:25,240 --> 00:20:28,120 Speaker 1: because we're having trouble with adoption on this, because we go, wait, 357 00:20:28,119 --> 00:20:31,639 Speaker 1: you can't tell me it's real meat when it's not 358 00:20:31,880 --> 00:20:35,640 Speaker 1: real meat. Many consumers, they say, are skeptical, even squeamish 359 00:20:35,680 --> 00:20:38,639 Speaker 1: about the thought of eating chicken grown from cells. The 360 00:20:40,119 --> 00:20:42,600 Speaker 1: chief operating officer of this company, Upside, says, we call 361 00:20:42,640 --> 00:20:44,320 Speaker 1: it the ick factor. I think that's what you and 362 00:20:44,359 --> 00:20:48,280 Speaker 1: I have, is the ick factor. Yeah. Public Affairs research 363 00:20:49,000 --> 00:20:51,520 Speaker 1: said half you a US adults said that they are 364 00:20:51,720 --> 00:20:54,920 Speaker 1: unlikely to try meat grown using cells from animals when 365 00:20:54,920 --> 00:20:56,800 Speaker 1: asked to choose from a list of reasons, so that 366 00:20:56,880 --> 00:20:59,520 Speaker 1: are reluctance. Most who said they'd be unlikely to try 367 00:20:59,560 --> 00:21:01,320 Speaker 1: it said it just sounds weird. 368 00:21:02,200 --> 00:21:04,800 Speaker 3: Well it does, and then look at the what the 369 00:21:04,880 --> 00:21:08,080 Speaker 3: beyond meat? Right? You were trying to get you meat 370 00:21:08,160 --> 00:21:11,120 Speaker 3: eaters to eat that and that didn't know very well. 371 00:21:11,160 --> 00:21:13,440 Speaker 3: So why do people think this would? 372 00:21:16,119 --> 00:21:18,399 Speaker 1: To their credit, they're all trying to do something that 373 00:21:18,480 --> 00:21:22,040 Speaker 1: means less less slaughtering of animals, and I love them 374 00:21:22,119 --> 00:21:23,399 Speaker 1: that it is more environmentally friendly. 375 00:21:23,480 --> 00:21:28,440 Speaker 3: Right, let's eat more fruits and veggies. Let's change our habits. 376 00:21:28,560 --> 00:21:31,840 Speaker 1: Why don't you take your little communist attitude right back 377 00:21:31,840 --> 00:21:36,720 Speaker 1: to communist China. Okay, all right, for those of us 378 00:21:36,760 --> 00:21:40,600 Speaker 1: that are American, we're going to keep enjoying our barbecue. 379 00:21:40,680 --> 00:21:43,639 Speaker 3: Wait a second, I am American, and I like my 380 00:21:43,760 --> 00:21:44,720 Speaker 3: fruits and veggies. 381 00:21:45,240 --> 00:21:47,880 Speaker 1: You're a mole, that's what you are. I've been sent 382 00:21:47,960 --> 00:21:52,119 Speaker 1: here to try to convert good, red blooded Americans, is 383 00:21:52,119 --> 00:21:55,280 Speaker 1: what you're doing. There is here's the other side of this, 384 00:21:55,359 --> 00:21:57,399 Speaker 1: And this is where I say that it's going to 385 00:21:57,440 --> 00:21:59,840 Speaker 1: be pretty obvious. I think what exactly is going to 386 00:22:00,080 --> 00:22:03,520 Speaker 1: happen here? You can't get it right now because it's crazy, 387 00:22:03,560 --> 00:22:06,720 Speaker 1: stupid expensive, as one might expect any new product is, 388 00:22:06,800 --> 00:22:10,159 Speaker 1: especially something that has so much invested in the research 389 00:22:10,200 --> 00:22:12,840 Speaker 1: and development. The company's plan to serve the new food 390 00:22:12,960 --> 00:22:16,080 Speaker 1: and exclusive restaurants upside As partnered with the San Francisco 391 00:22:16,119 --> 00:22:20,199 Speaker 1: restaurant called bar Kren, while good meat dishes are going 392 00:22:20,240 --> 00:22:22,560 Speaker 1: to be served at a Washington, DC restaurant run by 393 00:22:22,680 --> 00:22:26,240 Speaker 1: chef and owner Jose Andres. So these are only at 394 00:22:26,359 --> 00:22:30,080 Speaker 1: high end, fancy lad restaurants, not places where you and 395 00:22:30,119 --> 00:22:33,760 Speaker 1: I can have them. Not that either of us probably 396 00:22:33,800 --> 00:22:40,159 Speaker 1: would want this in the first place. But while this 397 00:22:40,200 --> 00:22:43,919 Speaker 1: starts out as something that's fancy, it will not end 398 00:22:44,000 --> 00:22:49,040 Speaker 1: that way. Right now, they go, oh, you're wealthy, you 399 00:22:49,080 --> 00:22:53,919 Speaker 1: can try our new not meat meat, which is meat 400 00:22:54,440 --> 00:22:58,080 Speaker 1: and it's not plant based. It's meat meat. While as 401 00:22:58,119 --> 00:23:01,600 Speaker 1: plebeians continue to suffer with actual animal products, or in 402 00:23:01,680 --> 00:23:05,640 Speaker 1: Devor's case, whatever made that jumpsuit she's wearing. Now now, 403 00:23:06,280 --> 00:23:10,480 Speaker 1: mark my words, this is going to switch so that 404 00:23:10,720 --> 00:23:16,480 Speaker 1: the elite will have access to only authentic murdered animals, 405 00:23:17,000 --> 00:23:18,960 Speaker 1: while us in the proletariat are going to be given 406 00:23:18,960 --> 00:23:23,560 Speaker 1: to post at apocalyptic meat like product. This is how 407 00:23:23,560 --> 00:23:26,159 Speaker 1: it's going to shake out. I've seen enough movies to 408 00:23:26,240 --> 00:23:28,840 Speaker 1: know that if it doesn't seem like you can tell 409 00:23:28,880 --> 00:23:31,600 Speaker 1: what animal it came from, then it didn't come from 410 00:23:31,600 --> 00:23:34,359 Speaker 1: an actual animal, and that goes to the poor people. 411 00:23:34,600 --> 00:23:37,320 Speaker 1: The wealthy people will have the luxury of an actual 412 00:23:37,400 --> 00:23:44,520 Speaker 1: animals shot bradish paper, and that's the next step. I 413 00:23:44,640 --> 00:23:47,200 Speaker 1: love that the comic response is it tastes like chicken, 414 00:23:47,760 --> 00:23:49,760 Speaker 1: which means we'll all be very happy living on our 415 00:23:49,800 --> 00:23:52,840 Speaker 1: silos eating whatever meat like product the government gives to us. 416 00:23:53,080 --> 00:23:56,600 Speaker 1: But right now it's only for the rich and famous. 417 00:23:57,000 --> 00:23:59,760 Speaker 1: Oh until it becomes common, and then the rich and 418 00:23:59,760 --> 00:24:02,200 Speaker 1: famous won't want it because they'll want something that is 419 00:24:02,800 --> 00:24:04,879 Speaker 1: uh far more difficult to get their hands on, like 420 00:24:05,119 --> 00:24:08,879 Speaker 1: an authentic Oh, this is Iowa beef. You know what 421 00:24:09,080 --> 00:24:10,359 Speaker 1: christ Iowa beef? 422 00:24:10,520 --> 00:24:15,480 Speaker 3: There are plenty of very very expensive vegan restaurants around 423 00:24:15,520 --> 00:24:21,240 Speaker 3: the world. I'm serious. People cannot believe how expensive vegetables are. 424 00:24:21,720 --> 00:24:25,960 Speaker 3: So I think that we could remarket everything, okay, and 425 00:24:26,400 --> 00:24:32,080 Speaker 3: and just explain that by eating beautiful, beautifully cooked and 426 00:24:32,760 --> 00:24:35,840 Speaker 3: served vegetables and fruit and nuts. 427 00:24:36,040 --> 00:24:41,080 Speaker 1: What have you that mad, that's what I have from 428 00:24:41,080 --> 00:24:42,040 Speaker 1: eating all those salads. 429 00:24:43,160 --> 00:24:48,000 Speaker 3: Well, you're maybe maybe you've caught some like salmonillas. 430 00:24:48,680 --> 00:24:56,360 Speaker 1: Meat vegetables. 431 00:24:56,400 --> 00:24:57,440 Speaker 3: This is undercooked. 432 00:25:01,359 --> 00:25:02,960 Speaker 1: So you're saying, if you want to be an elitist, 433 00:25:03,000 --> 00:25:04,720 Speaker 1: you can still be a vegetarian. Is that what you're 434 00:25:04,720 --> 00:25:05,000 Speaker 1: telling me? 435 00:25:05,720 --> 00:25:09,119 Speaker 3: Absolutely? Yes, you don't have to eat murdered animals. As 436 00:25:09,200 --> 00:25:11,000 Speaker 3: you put it. You you're the one to put it 437 00:25:11,040 --> 00:25:13,879 Speaker 3: that way. Yeah, No, that's accurate, very accurate. 438 00:25:14,320 --> 00:25:19,760 Speaker 1: Yeah, sacrificial lambs that's what they are, poor lambs. 439 00:25:19,840 --> 00:25:22,400 Speaker 3: I mean, come on, don't get me started on lamb. 440 00:25:22,800 --> 00:25:24,480 Speaker 1: Okay, I will tell you this. I'm kind of with 441 00:25:24,640 --> 00:25:28,960 Speaker 1: you on any of the baby meats, okay, the lambs 442 00:25:29,200 --> 00:25:33,600 Speaker 1: and the veal. I'm with you on the baby meats, Okay, 443 00:25:34,320 --> 00:25:36,760 Speaker 1: like at least give them a few years in the 444 00:25:36,840 --> 00:25:39,159 Speaker 1: barnyard before you off them. Okay, and come on. 445 00:25:39,720 --> 00:25:42,960 Speaker 3: What about these luaus, these luaus where they have the 446 00:25:43,000 --> 00:25:46,600 Speaker 3: whole pig on a steak. I mean, come on, people, 447 00:25:46,960 --> 00:25:50,840 Speaker 3: you don't see how gross and terrible that is. Shot 448 00:25:50,920 --> 00:25:53,440 Speaker 3: at me, Yes it is. Eric just came back from Hawaiian. 449 00:25:53,760 --> 00:25:54,919 Speaker 1: I didn't even go to a luau. 450 00:25:54,960 --> 00:25:55,439 Speaker 3: Okay, well just. 451 00:25:56,920 --> 00:25:58,480 Speaker 1: To Hawaiian. Didn't go to a lou out with a 452 00:25:58,560 --> 00:26:01,040 Speaker 1: full pig on a spade. Dam My family wasn't into that. 453 00:26:01,640 --> 00:26:04,200 Speaker 1: One would have done that. Oh I wanted to, but 454 00:26:04,320 --> 00:26:09,640 Speaker 1: I was veidoed. Oh no, oh no, it's really good. Chris. 455 00:26:10,680 --> 00:26:14,080 Speaker 1: Uh listen, Uh, Debra's got news here. But I have 456 00:26:14,160 --> 00:26:17,360 Speaker 1: to tell you this. We are running into a real dilemma. 457 00:26:18,080 --> 00:26:20,719 Speaker 1: Our kids are getting almost as dumb as we were 458 00:26:20,800 --> 00:26:23,960 Speaker 1: at that age. That's next. I'm Chris merrill In for 459 00:26:24,040 --> 00:26:25,919 Speaker 1: John and Ken k if I AM six forty. We're 460 00:26:25,960 --> 00:26:27,480 Speaker 1: live everywhere in your iHeart Radio WAPP. 461 00:26:28,480 --> 00:26:31,840 Speaker 2: You're listening to John and Ken on demand from KFI 462 00:26:32,080 --> 00:26:32,720 Speaker 2: AM six. 463 00:26:36,680 --> 00:26:40,320 Speaker 1: Chris merrill In for John and Ken today, and kids 464 00:26:40,359 --> 00:26:43,959 Speaker 1: are getting dumb. Kids are getting dumb, and really are 465 00:26:44,040 --> 00:26:49,480 Speaker 1: we surprised the kids are getting dumber? No, no, because 466 00:26:49,880 --> 00:26:56,000 Speaker 1: parents are not setting great examples. National test scores plunge, 467 00:26:56,320 --> 00:26:59,119 Speaker 1: still no sign of pandemic recovery. From the Washington Post, 468 00:26:59,640 --> 00:27:02,159 Speaker 1: national test scores plummeted for thirteen year olds during a 469 00:27:02,200 --> 00:27:05,200 Speaker 1: new data during excuse me. According to new data that 470 00:27:05,359 --> 00:27:08,840 Speaker 1: shows the single largest drop in math in fifty years 471 00:27:09,840 --> 00:27:13,639 Speaker 1: and no signs of academic recovery following the disruptions of 472 00:27:13,680 --> 00:27:17,720 Speaker 1: the pandemic, student scores plunging nine points in math four 473 00:27:17,760 --> 00:27:20,480 Speaker 1: points in reading, according to the National Assessment of Educational 474 00:27:20,520 --> 00:27:24,360 Speaker 1: Progress or NAPE that's often regarded as the nation's report card. 475 00:27:24,400 --> 00:27:29,000 Speaker 1: The deal was released today reflecting testing of last fall, 476 00:27:29,119 --> 00:27:31,520 Speaker 1: comparing that to the same period of twenty nineteen before 477 00:27:31,560 --> 00:27:36,199 Speaker 1: the pandemic began. And what happens is it just drops, 478 00:27:36,560 --> 00:27:39,960 Speaker 1: just drops right off. So then the big question is 479 00:27:40,000 --> 00:27:46,280 Speaker 1: why We'll go, well, it's pandemic, it's pandemic. Oh, all right, 480 00:27:46,359 --> 00:27:50,159 Speaker 1: but why let's dive into this a little bit deeper. 481 00:27:50,359 --> 00:27:53,600 Speaker 1: Why why is it we have a pandemic? So test 482 00:27:53,600 --> 00:27:57,359 Speaker 1: scores drop? Did the pandemic make kids dummer? Did the 483 00:27:57,400 --> 00:28:01,680 Speaker 1: pandemic make it harder to study? And I know, obviously 484 00:28:01,760 --> 00:28:04,639 Speaker 1: we say, well no, the pandemic closed schools and so 485 00:28:04,760 --> 00:28:08,639 Speaker 1: the kids didn't have those schools, they weren't learning. Okay, 486 00:28:09,000 --> 00:28:13,200 Speaker 1: all right, good, now we're getting somewhere. So what happened then, Well, 487 00:28:13,200 --> 00:28:16,560 Speaker 1: the kids were at home. Oh all right, kids were 488 00:28:16,600 --> 00:28:21,960 Speaker 1: at home and while they were at home, they missed 489 00:28:21,960 --> 00:28:26,840 Speaker 1: out on what what is it that we as parents 490 00:28:27,880 --> 00:28:32,239 Speaker 1: didn't provide our children? What is it that we as 491 00:28:32,359 --> 00:28:35,480 Speaker 1: parents who will go and scream at a school board 492 00:28:36,640 --> 00:28:40,280 Speaker 1: about mask mandates, about which books are in the library, 493 00:28:41,160 --> 00:28:44,960 Speaker 1: about forcing an agenda on us? What is it that 494 00:28:45,080 --> 00:28:47,760 Speaker 1: we as parents who care about our kids, did not 495 00:28:48,080 --> 00:28:52,320 Speaker 1: do for our kids? And that is math and reading. 496 00:28:54,520 --> 00:29:00,760 Speaker 1: We get so worked up over all the other things else. Ah, 497 00:29:00,880 --> 00:29:03,800 Speaker 1: kids can't learn if they're wearing masks. Kids can't learn 498 00:29:03,840 --> 00:29:08,800 Speaker 1: if this book is in the library. Oh there's groomers everywhere, okay, 499 00:29:08,880 --> 00:29:13,400 Speaker 1: but kids can't learn if they're in your house. Literally, 500 00:29:13,680 --> 00:29:17,600 Speaker 1: kids cannot learn as well if they are at home. 501 00:29:19,120 --> 00:29:22,640 Speaker 1: So whatever your issues are with the schools, it's still 502 00:29:22,760 --> 00:29:27,760 Speaker 1: better academically than being at home. And of course i'm 503 00:29:27,760 --> 00:29:29,880 Speaker 1: talking in generalities. There are some exceptions to that. Some 504 00:29:30,000 --> 00:29:32,320 Speaker 1: kids did very well, they flourished at home. Some kids 505 00:29:32,400 --> 00:29:34,560 Speaker 1: continue to be homeschool because parents found a way to 506 00:29:34,600 --> 00:29:38,920 Speaker 1: make it work. And they liked the results. But generally speaking, 507 00:29:40,560 --> 00:29:46,120 Speaker 1: as parents, we failed. We totally failed. According to the 508 00:29:46,120 --> 00:29:49,640 Speaker 1: Commission of the National Center for Education Statistics, these results 509 00:29:49,680 --> 00:29:51,880 Speaker 1: show that there are troubling gaps and the basic skills 510 00:29:51,920 --> 00:29:55,120 Speaker 1: of the students. The new data said reinforces the fact 511 00:29:55,120 --> 00:29:59,080 Speaker 1: that recovery is going to take some time. No recovery 512 00:29:59,160 --> 00:30:01,040 Speaker 1: is not going to take to the only thing. These 513 00:30:01,160 --> 00:30:04,479 Speaker 1: kids are screwed. There's not gonna be any recovery. These 514 00:30:04,520 --> 00:30:08,200 Speaker 1: kids are coming back. You're not gonna take this thirteen 515 00:30:08,280 --> 00:30:10,080 Speaker 1: year old and suddenly put them in some sort of 516 00:30:10,240 --> 00:30:13,960 Speaker 1: remedial mathematics and then by the time they get to 517 00:30:14,040 --> 00:30:16,680 Speaker 1: their senior year, they're gonna be all caught up. That's 518 00:30:16,720 --> 00:30:21,280 Speaker 1: not gonna happen, they said. Hardest hit with the s 519 00:30:21,320 --> 00:30:23,840 Speaker 1: in math, Their score showed declines of twelve to fourteen points. 520 00:30:23,880 --> 00:30:26,960 Speaker 1: The highest performing peers fell just six points, but still fell. 521 00:30:28,080 --> 00:30:31,400 Speaker 1: So kids that were good at math before still are 522 00:30:31,480 --> 00:30:36,880 Speaker 1: not as good at math after the pandemic because as 523 00:30:37,000 --> 00:30:44,600 Speaker 1: a society, as parents at large, we failed. Now the 524 00:30:44,760 --> 00:30:47,680 Speaker 1: other thing. Now we're talking about math, but the other 525 00:30:47,800 --> 00:30:52,440 Speaker 1: category that bothers me and I think this really pinpoints 526 00:30:52,520 --> 00:30:55,920 Speaker 1: exactly what's going on and exactly why we as parents 527 00:30:56,000 --> 00:30:57,840 Speaker 1: did a poor job. When the kids were at home 528 00:30:57,920 --> 00:31:04,480 Speaker 1: and we were in charge of their learning, reading showed 529 00:31:05,960 --> 00:31:17,280 Speaker 1: a plunge, including students who reported never or hardly ever 530 00:31:17,440 --> 00:31:21,520 Speaker 1: reading for fun jumped by nine points to thirty one percent. 531 00:31:22,200 --> 00:31:27,080 Speaker 1: In other words, nearly ten percent more kids after the pandemic, 532 00:31:28,160 --> 00:31:32,920 Speaker 1: nearly ten percent more children didn't read for fun. I 533 00:31:32,960 --> 00:31:35,240 Speaker 1: don't know about you. When I was a kid, I 534 00:31:35,760 --> 00:31:37,400 Speaker 1: just whatever book was there, I was reading it. I 535 00:31:37,440 --> 00:31:39,240 Speaker 1: loved it. I loved it. I loved it. Got into 536 00:31:39,280 --> 00:31:40,880 Speaker 1: all the you know, the kids books. I love the 537 00:31:41,040 --> 00:31:45,400 Speaker 1: hardy boys. You know we had remember a fourth grade. 538 00:31:45,440 --> 00:31:47,560 Speaker 1: I think we were doing to choose your own adventure. Man. 539 00:31:47,560 --> 00:31:49,320 Speaker 1: I wish they'd bring that back for adults. Wouldn't it 540 00:31:49,320 --> 00:31:50,920 Speaker 1: be great if every true crime novel you read you 541 00:31:50,920 --> 00:31:55,600 Speaker 1: could pick who did it? Oh wonderful? I love I 542 00:31:55,800 --> 00:31:57,920 Speaker 1: loved reading. I just absorbed it all. I was a 543 00:31:58,080 --> 00:32:02,840 Speaker 1: sponge and I absolutely adored it. And I got a 544 00:32:02,880 --> 00:32:05,840 Speaker 1: little bit older, and then I got other things that 545 00:32:05,960 --> 00:32:09,920 Speaker 1: I did. Video games came about in the late eighties 546 00:32:09,960 --> 00:32:12,360 Speaker 1: that were accessible in the home. I know some of 547 00:32:12,560 --> 00:32:14,400 Speaker 1: some of my friends had an Atari but it was 548 00:32:14,440 --> 00:32:16,960 Speaker 1: when Nintendo came around the late eighties that really it 549 00:32:17,040 --> 00:32:19,760 Speaker 1: was like, Wow, we're playing Nintendo. Yeah, I could read 550 00:32:19,800 --> 00:32:24,360 Speaker 1: this book, but Nintendo Hack Man Asteroids be fantastic. Can't 551 00:32:24,400 --> 00:32:28,760 Speaker 1: get enough of that stuff right, pile it on. So 552 00:32:28,880 --> 00:32:31,440 Speaker 1: what happens when kids are at home all day long 553 00:32:32,720 --> 00:32:34,920 Speaker 1: and mom or dad or mom and dad, who are 554 00:32:35,120 --> 00:32:37,200 Speaker 1: in charge of making sure the kids are focusing on 555 00:32:37,280 --> 00:32:40,720 Speaker 1: their zoom calls, their their classroom and all this other stuff. 556 00:32:41,560 --> 00:32:45,080 Speaker 1: What happens when they're when they're done, the kids go, 557 00:32:46,120 --> 00:32:48,960 Speaker 1: I want to play video games, Mom, dad, I have 558 00:32:49,040 --> 00:32:51,320 Speaker 1: to sit in school all day. And mom and dads 559 00:32:51,360 --> 00:32:53,480 Speaker 1: they go, oh, man, you had to sit in class 560 00:32:53,480 --> 00:32:56,400 Speaker 1: all day. We watched you sit in class all day 561 00:32:57,000 --> 00:32:59,760 Speaker 1: and you did great. Now you can go play your 562 00:32:59,840 --> 00:33:03,320 Speaker 1: videvideo games. And now the kids aren't they're not reading. 563 00:33:04,680 --> 00:33:07,360 Speaker 1: So my takeaway is that the learn from home scenarios 564 00:33:07,440 --> 00:33:11,800 Speaker 1: don't have the structure that schools offer. It is way 565 00:33:12,200 --> 00:33:15,760 Speaker 1: too easy to access other distractions like video games or 566 00:33:15,960 --> 00:33:21,280 Speaker 1: YouTube or social media or whatever else it is, and 567 00:33:21,560 --> 00:33:25,240 Speaker 1: parents seem to be worried about everything else that the 568 00:33:25,320 --> 00:33:31,360 Speaker 1: schools do except academic performance of the kids. I don't know, 569 00:33:31,400 --> 00:33:34,160 Speaker 1: if you were to ask parents what is important, they say, well, 570 00:33:34,200 --> 00:33:37,280 Speaker 1: academic performance, of course, is paramount. They say safety of 571 00:33:37,320 --> 00:33:40,360 Speaker 1: my children first, academic performance second, right, that's the whole 572 00:33:40,400 --> 00:33:44,560 Speaker 1: idea behind the schools. Access to opportunities third, in other words, 573 00:33:44,600 --> 00:33:47,720 Speaker 1: like extracurricular activities and things like that, that would be third. Right. 574 00:33:47,800 --> 00:33:50,640 Speaker 1: But you know, safety of my child is top priority. 575 00:33:51,920 --> 00:33:55,480 Speaker 1: Academic excellence is second. But then you say, well, what 576 00:33:55,600 --> 00:33:57,400 Speaker 1: if they have a book in the library you don't like? 577 00:33:57,480 --> 00:33:59,760 Speaker 1: You go, what, we got a book? I don't like. 578 00:34:01,600 --> 00:34:04,080 Speaker 1: I am going to wrap a flag around myself and 579 00:34:04,200 --> 00:34:06,560 Speaker 1: I am going to go pick a fight outside of 580 00:34:06,640 --> 00:34:11,800 Speaker 1: a school board meeting. And Dehra, you had that story 581 00:34:11,840 --> 00:34:16,920 Speaker 1: earlier there in Glendale, more fights outside of the oh 582 00:34:17,000 --> 00:34:21,520 Speaker 1: my gosh, fist fights. I saw Katla was doing an 583 00:34:21,560 --> 00:34:22,880 Speaker 1: interview and I saw that they had a guy who 584 00:34:22,960 --> 00:34:25,920 Speaker 1: had wrapped himself in an American flag because he was 585 00:34:26,320 --> 00:34:35,400 Speaker 1: defending UH flag manufacturers. I don't know what it was 586 00:34:35,520 --> 00:34:37,800 Speaker 1: that he felt like it needed to be more American 587 00:34:37,840 --> 00:34:41,520 Speaker 1: her and so he wore a flag as a cape. 588 00:34:42,560 --> 00:34:43,960 Speaker 1: It didn't make a whole lot of sense to me. 589 00:34:45,440 --> 00:34:49,880 Speaker 1: And then in Huntington Beach, you've got the city council 590 00:34:50,040 --> 00:34:55,839 Speaker 1: is now getting crazy because of more book bands. Well, 591 00:34:55,880 --> 00:34:58,200 Speaker 1: don't worry about banning the books, because, as I just 592 00:34:58,280 --> 00:35:01,920 Speaker 1: told you, the kids aren't reading them any ways. The 593 00:35:02,080 --> 00:35:06,160 Speaker 1: kids are literally now testing in math. Their test scores 594 00:35:06,200 --> 00:35:10,480 Speaker 1: are the same as they were in nineteen ninety. Of course, 595 00:35:10,560 --> 00:35:12,440 Speaker 1: not again. I was in junior high nineteen ninety and 596 00:35:12,520 --> 00:35:16,120 Speaker 1: I turn it out find so maybe maybe it's good 597 00:35:16,160 --> 00:35:19,200 Speaker 1: the way it is. All right, We'll tell you about 598 00:35:19,200 --> 00:35:22,280 Speaker 1: the chaos at the Huntington City Huntington Beach City Council. 599 00:35:22,320 --> 00:35:24,759 Speaker 1: It's next Chris Merril And for John and KENKFI AM 600 00:35:24,800 --> 00:35:28,000 Speaker 1: six forty we're live everywhere on your iHeartRadio app. Hey, 601 00:35:28,080 --> 00:35:29,719 Speaker 1: you've been listening to the John and Ken Show. You 602 00:35:29,760 --> 00:35:32,800 Speaker 1: can always hear us live on KFI AM six forty 603 00:35:33,040 --> 00:35:35,880 Speaker 1: one pm to four pm every Monday through Friday, and 604 00:35:36,040 --> 00:35:39,359 Speaker 1: of course anytime on demand on the iHeartRadio app