1 00:00:00,600 --> 00:00:03,040 Speaker 1: CAFI AM six forty. You're listening to the John and 2 00:00:03,080 --> 00:00:10,080 Speaker 1: Ken Show on demand on the iHeartRadio App. Welcome around 3 00:00:10,119 --> 00:00:12,600 Speaker 1: the radio from one until four here on CAFI, and 4 00:00:12,640 --> 00:00:15,000 Speaker 1: then after four o'clock you can hear the whole show 5 00:00:15,640 --> 00:00:19,160 Speaker 1: on the John and Ken on demand podcast. The iHeartRadio 6 00:00:19,200 --> 00:00:20,840 Speaker 1: app is where you pick it up and you can 7 00:00:21,160 --> 00:00:22,400 Speaker 1: listen to whatever you missed. 8 00:00:24,320 --> 00:00:27,560 Speaker 2: We are, of course waving the shiny green money. You 9 00:00:27,600 --> 00:00:30,120 Speaker 2: have a chance in about fifteen minutes to hear another 10 00:00:30,160 --> 00:00:36,200 Speaker 2: keyword and when the CAFI iHeart Inflation Compensation Contest continues 11 00:00:36,360 --> 00:00:39,040 Speaker 2: here on the Johnny Ken Show at one twenty two, 12 00:00:39,080 --> 00:00:42,120 Speaker 2: twenty and three to twenty. A lot of good stuff 13 00:00:42,159 --> 00:00:44,239 Speaker 2: to get into today, but we're actually going to begin 14 00:00:44,320 --> 00:00:47,839 Speaker 2: with something we don't really talk about at all anymore, 15 00:00:47,920 --> 00:00:50,520 Speaker 2: but we have to note these two stories, and it's 16 00:00:50,560 --> 00:00:56,160 Speaker 2: COVID nineteen COVID nineteen. I remember that whole thing anyway, 17 00:00:56,280 --> 00:00:59,400 Speaker 2: which began in late twenty nineteen and of course affected 18 00:00:59,520 --> 00:01:02,040 Speaker 2: the world for a couple of years of all the lockdowns. 19 00:01:02,640 --> 00:01:06,480 Speaker 2: Two things, the surprise story that came out last night 20 00:01:06,600 --> 00:01:10,000 Speaker 2: kind of and your shows here just how far pulled 21 00:01:10,000 --> 00:01:12,640 Speaker 2: back we are from all the fear and craze, or 22 00:01:12,640 --> 00:01:16,120 Speaker 2: for COVID in and out. Burgger is prohibiting employees and 23 00:01:16,280 --> 00:01:20,039 Speaker 2: five of their Western US state locations from wearing masks 24 00:01:20,040 --> 00:01:23,280 Speaker 2: at work unless they come up with a medical note 25 00:01:23,319 --> 00:01:27,200 Speaker 2: from a doctor. It goes into effect in August. It's 26 00:01:27,240 --> 00:01:29,360 Speaker 2: not going to be California. They do want to touch 27 00:01:29,440 --> 00:01:32,880 Speaker 2: the whole California third rail with the crazies and Sacramento. 28 00:01:32,880 --> 00:01:33,200 Speaker 3: I don't know. 29 00:01:33,720 --> 00:01:38,560 Speaker 1: Maybe there's too many California customers who want to see masks. 30 00:01:39,800 --> 00:01:40,600 Speaker 3: Oh you think so. 31 00:01:41,240 --> 00:01:45,000 Speaker 1: I see plenty of masks at it. Certain they don't 32 00:01:45,000 --> 00:01:48,120 Speaker 1: go to in and out. Well, those are whole foods people. 33 00:01:48,320 --> 00:01:50,720 Speaker 1: There's got to be there's got to be something. They 34 00:01:50,760 --> 00:01:54,240 Speaker 1: had to standoff with the with one of the counties 35 00:01:54,360 --> 00:01:58,680 Speaker 1: up in northern California. Remember the counties were demanding. 36 00:01:59,000 --> 00:02:01,120 Speaker 2: Oh they had a problem with San Francisco too because 37 00:02:01,160 --> 00:02:03,760 Speaker 2: they would not They ordered them to uh well, they 38 00:02:03,840 --> 00:02:06,320 Speaker 2: ordered them closed in twenty twenty one because they would 39 00:02:06,320 --> 00:02:09,519 Speaker 2: not check the vaccine proof of indoor diners. 40 00:02:09,960 --> 00:02:11,400 Speaker 3: Right, yes, that's running out. 41 00:02:11,440 --> 00:02:14,600 Speaker 2: Later preemptively closed all five of its location nearby Contra 42 00:02:14,680 --> 00:02:15,280 Speaker 2: Costa County. 43 00:02:15,280 --> 00:02:17,840 Speaker 3: You're referring to, right, Yeah, right, so San. 44 00:02:17,680 --> 00:02:21,800 Speaker 2: Francisco and then nearby Contra Costa County both were Maybe. 45 00:02:21,680 --> 00:02:24,560 Speaker 1: If you go on the whole Foods Man, I see 46 00:02:24,639 --> 00:02:28,440 Speaker 1: easily a half a dozen masks on any given day, 47 00:02:28,560 --> 00:02:31,120 Speaker 1: and a lot of them are the employees too, which 48 00:02:31,160 --> 00:02:33,720 Speaker 1: creeps me out. That's why I don't want to see masks, 49 00:02:33,720 --> 00:02:36,640 Speaker 1: because it makes me think of contagious disease. And so 50 00:02:36,680 --> 00:02:39,480 Speaker 1: I wonder, what do these people have that they don't 51 00:02:39,520 --> 00:02:40,160 Speaker 1: want to give to me. 52 00:02:40,639 --> 00:02:41,919 Speaker 3: They'll tell you that they were there. 53 00:02:41,960 --> 00:02:44,120 Speaker 2: They were there all day with the public, so maybe 54 00:02:44,160 --> 00:02:45,880 Speaker 2: they just wanted to take a little extra precaution. 55 00:02:46,080 --> 00:02:48,120 Speaker 3: And then then nobody ever reaches, so they didn't even 56 00:02:48,120 --> 00:02:49,800 Speaker 3: get the flu and then the cold. 57 00:02:49,880 --> 00:02:52,280 Speaker 1: Then I'm thinking they're mentally ill, and where if they 58 00:02:52,320 --> 00:02:55,880 Speaker 1: suddenly lash out, they have some kind of breakdown or flashback, 59 00:02:56,880 --> 00:02:59,160 Speaker 1: and then they start, I don't know, taking off their clothes. 60 00:02:59,240 --> 00:03:01,720 Speaker 1: I don't well, I don't trust people walking around masks 61 00:03:01,760 --> 00:03:04,440 Speaker 1: at all. But you know what, it also bothers me, 62 00:03:04,520 --> 00:03:10,720 Speaker 1: puts me in a bad mood. And then I'm not hungry. 63 00:03:10,880 --> 00:03:14,200 Speaker 1: You collapse that easily. He's a mask, can't eat the 64 00:03:14,200 --> 00:03:16,880 Speaker 1: rest of the day, I'm very much start thinking about disease. 65 00:03:17,600 --> 00:03:19,760 Speaker 1: I'm thinking, well, this guy must be infected with something. 66 00:03:20,400 --> 00:03:23,880 Speaker 2: The states of Arizona, Colorado, Nevada, Texas, and Utah. The 67 00:03:23,919 --> 00:03:27,760 Speaker 2: reason is I like this the importance of customer service, 68 00:03:28,000 --> 00:03:32,800 Speaker 2: the ability to show our associates smiles and other facial features. 69 00:03:33,160 --> 00:03:35,040 Speaker 2: It is a little off putting to see somebody wearing 70 00:03:35,080 --> 00:03:37,680 Speaker 2: a mask. Yeah, but half their face is covered up 71 00:03:38,080 --> 00:03:40,600 Speaker 2: most of the time. You once in a while, you see. 72 00:03:40,440 --> 00:03:42,240 Speaker 1: Somebody once in a while, it's a good thing. Did 73 00:03:42,280 --> 00:03:45,880 Speaker 1: you put something? Would you cover that up? Jesus catch 74 00:03:45,920 --> 00:03:46,680 Speaker 1: your chief finished? 75 00:03:47,960 --> 00:03:48,600 Speaker 3: If you remember. 76 00:03:48,680 --> 00:03:51,560 Speaker 2: Back in twenty twenty one, the chief legal and business 77 00:03:51,560 --> 00:03:54,240 Speaker 2: officer for In and Out said to the San Francisco Chronicle, 78 00:03:54,480 --> 00:03:57,240 Speaker 2: we refuse to become the vaccination police for any government. 79 00:03:57,560 --> 00:04:00,440 Speaker 2: It is unreasonable, invasive, and unsafe to force our restaurant 80 00:04:00,480 --> 00:04:03,720 Speaker 2: associates to segregate customers into those who may be served 81 00:04:03,840 --> 00:04:06,760 Speaker 2: and those who may not, whether based on the documentation 82 00:04:06,840 --> 00:04:09,880 Speaker 2: they carry or for any other reason. Of course, NBC 83 00:04:09,920 --> 00:04:12,560 Speaker 2: News then took its little side shot here. In and 84 00:04:12,640 --> 00:04:14,720 Speaker 2: Out it's been known for printing Bible verses on its 85 00:04:14,760 --> 00:04:19,240 Speaker 2: food package. Oh my God, not Bible versus some toime 86 00:04:19,279 --> 00:04:22,400 Speaker 2: of religious fringe. Gio that's who they are. We just 87 00:04:22,440 --> 00:04:25,320 Speaker 2: want our readers to know who they're dealing. 88 00:04:24,960 --> 00:04:28,080 Speaker 1: With, Like, like the COVID fanatics are not into a religion, right. 89 00:04:29,320 --> 00:04:32,799 Speaker 2: The other story is, we mentioned yesterday that was probably 90 00:04:32,839 --> 00:04:35,320 Speaker 2: the first time in months that we said anything to 91 00:04:35,360 --> 00:04:38,560 Speaker 2: deal with COVID nineteen. But we've got a situation now 92 00:04:38,600 --> 00:04:41,039 Speaker 2: with the hospitalizations are as low as they were pretty 93 00:04:41,120 --> 00:04:44,320 Speaker 2: much at the beginning of the pandemic, So it's completely over. 94 00:04:44,640 --> 00:04:47,719 Speaker 2: Despite the Los Angeles Times warning everyone that July fourth 95 00:04:48,000 --> 00:04:52,400 Speaker 2: could bring another upsurge, there'll be gatherings. I couldn't believe 96 00:04:52,400 --> 00:04:54,200 Speaker 2: they pulled that out one more time. I know, hey, 97 00:04:54,360 --> 00:04:58,159 Speaker 2: they're they're losing a million dollars a week. So it 98 00:04:58,200 --> 00:05:02,240 Speaker 2: got in New York Times that did story that well. 99 00:05:02,279 --> 00:05:05,560 Speaker 2: The headline was a positive COVID milestone in a sign 100 00:05:05,640 --> 00:05:08,480 Speaker 2: that pandemic really is over. The total number of Americans 101 00:05:08,560 --> 00:05:13,600 Speaker 2: dying each day is no longer historically abnormal, and they 102 00:05:13,640 --> 00:05:16,400 Speaker 2: presented a little chart showing that for the past three 103 00:05:16,480 --> 00:05:19,840 Speaker 2: years there were some big upswings and what's considered weekly 104 00:05:19,920 --> 00:05:23,320 Speaker 2: deaths above normal. In other words, historically you have a 105 00:05:23,360 --> 00:05:28,160 Speaker 2: certain number of people who die and for periods of 106 00:05:28,200 --> 00:05:30,560 Speaker 2: twenty twenty, twenty one, and twenty two. 107 00:05:31,880 --> 00:05:33,080 Speaker 3: Yeah, that number jumped. 108 00:05:33,160 --> 00:05:35,480 Speaker 2: Yeah, they as much as fifty percent above normal in 109 00:05:35,480 --> 00:05:35,919 Speaker 2: one case. 110 00:05:36,000 --> 00:05:39,560 Speaker 3: Yeah. They try to calculate excess deaths. Yeah, that's what 111 00:05:39,560 --> 00:05:40,000 Speaker 3: they call it. 112 00:05:40,120 --> 00:05:43,280 Speaker 1: They take the average annual death total and then if 113 00:05:43,320 --> 00:05:46,920 Speaker 1: you have a significant excess death rate beyond that, then 114 00:05:46,960 --> 00:05:49,400 Speaker 1: you know that maybe something unusual happened that year. 115 00:05:49,800 --> 00:05:51,520 Speaker 2: But do they correct for like the fact that the 116 00:05:51,560 --> 00:05:53,840 Speaker 2: population's bigger than it was, you know, fifty years ago, 117 00:05:53,880 --> 00:05:54,480 Speaker 2: twenty years ago. 118 00:05:54,560 --> 00:05:56,560 Speaker 1: They're just looking at average number of deaths per year. 119 00:05:56,680 --> 00:06:02,799 Speaker 1: They should they should, Yeah, getting older with the baby 120 00:06:02,800 --> 00:06:05,440 Speaker 1: boom population, Now you don't number end of that, getting 121 00:06:05,440 --> 00:06:08,400 Speaker 1: pretty old. The thing is, there's a lot of sloppy 122 00:06:09,040 --> 00:06:12,719 Speaker 1: people in the media who don't do the correction, and 123 00:06:12,760 --> 00:06:15,039 Speaker 1: there's a lot of half assed work even being done 124 00:06:15,080 --> 00:06:19,799 Speaker 1: in government, So you never know. Do you remember that stupid, 125 00:06:20,040 --> 00:06:25,080 Speaker 1: stupid University of Washington research that was putting out the 126 00:06:25,279 --> 00:06:27,680 Speaker 1: estimates for how many people were going to die and 127 00:06:27,720 --> 00:06:32,720 Speaker 1: they were so freaking wrong by like a million percent, 128 00:06:33,360 --> 00:06:36,599 Speaker 1: and these it was computer modeling they did, and everything 129 00:06:36,640 --> 00:06:40,360 Speaker 1: they predicted was wrong by one hundred thousand miles which 130 00:06:40,400 --> 00:06:42,800 Speaker 1: reminds me of you know, these climate change models that 131 00:06:42,880 --> 00:06:45,400 Speaker 1: try to tell you, hey, yesterday was the hottest day 132 00:06:45,400 --> 00:06:48,280 Speaker 1: in one hundred thousand years. It's like, okay, I mean 133 00:06:48,320 --> 00:06:53,200 Speaker 1: these computer models, which scientists seem to love, suck. It's 134 00:06:53,279 --> 00:06:58,320 Speaker 1: it's it's a complete hoax, these computer models. And I 135 00:06:58,600 --> 00:07:00,360 Speaker 1: think there was there was, There was. There's a lot 136 00:07:00,360 --> 00:07:03,080 Speaker 1: of that going on with with the with the coronavirus 137 00:07:03,480 --> 00:07:08,320 Speaker 1: death predictions and well and the counting after the fact. 138 00:07:08,360 --> 00:07:11,520 Speaker 2: Buried in this New York Times story and pointed out 139 00:07:11,600 --> 00:07:15,480 Speaker 2: it's like paragraph seventeen, the official number of COVID deaths 140 00:07:15,520 --> 00:07:18,680 Speaker 2: is probably an exaggeration because it includes some people who 141 00:07:18,720 --> 00:07:21,360 Speaker 2: had virus when they died, even though it was. 142 00:07:21,320 --> 00:07:22,840 Speaker 3: Not the underlying cause of death. 143 00:07:23,440 --> 00:07:28,280 Speaker 2: Other CDC data suggests that almost one third of the 144 00:07:28,320 --> 00:07:31,840 Speaker 2: official recent COVID deaths have fallen into this category. And 145 00:07:31,880 --> 00:07:34,600 Speaker 2: I don't know what would be considered recent COVID deaths 146 00:07:34,640 --> 00:07:37,160 Speaker 2: as things only three years old. Yeah, one third though, 147 00:07:38,280 --> 00:07:40,600 Speaker 2: And we always said that from the beginning. They were 148 00:07:40,680 --> 00:07:43,040 Speaker 2: just you know, somebody dies in the hospital and oh 149 00:07:43,120 --> 00:07:45,040 Speaker 2: the tests said their COVID PI died in COVID. 150 00:07:45,160 --> 00:07:47,720 Speaker 1: Well yeah, and this was this was as recently as 151 00:07:47,800 --> 00:07:52,240 Speaker 1: last summer, because Barbara Ferrara made one last run. I 152 00:07:52,240 --> 00:07:54,600 Speaker 1: think it was the end of last summer July August, 153 00:07:54,680 --> 00:07:57,240 Speaker 1: oh at the masks got the masks coming back. I 154 00:07:57,480 --> 00:07:58,120 Speaker 1: remember that year. 155 00:07:58,240 --> 00:07:58,920 Speaker 3: It was a year ago. 156 00:07:59,040 --> 00:08:02,160 Speaker 1: She was using hospit vitalization data of people in the 157 00:08:02,200 --> 00:08:05,480 Speaker 1: hospital with COVID, except they were taken to the hospital 158 00:08:05,520 --> 00:08:10,120 Speaker 1: with something else, Yeah, a gallbladder problem or they had 159 00:08:10,160 --> 00:08:12,880 Speaker 1: no COVID systems, but the test was mandatory and they 160 00:08:12,880 --> 00:08:14,560 Speaker 1: found that it was positive. 161 00:08:14,320 --> 00:08:17,560 Speaker 2: So they considered them COVID hospitalizations when right. 162 00:08:17,440 --> 00:08:19,680 Speaker 3: That wasn't true, and that was a big exaggeration, right, 163 00:08:19,880 --> 00:08:20,280 Speaker 3: and they. 164 00:08:20,240 --> 00:08:22,360 Speaker 1: Used that as an excuse to bring back the masks 165 00:08:23,360 --> 00:08:25,160 Speaker 1: inside indoors. 166 00:08:25,400 --> 00:08:27,280 Speaker 2: Then there's this the number of COVID deaths has now 167 00:08:27,400 --> 00:08:30,600 Speaker 2: dropped solo they're difficult to notice, and the overall death data, 168 00:08:32,240 --> 00:08:35,319 Speaker 2: so it's uh, they're claiming that there's still eighty people 169 00:08:35,360 --> 00:08:36,880 Speaker 2: a day in the country. 170 00:08:36,640 --> 00:08:39,480 Speaker 1: Who die of COVID. They're saying that, but then again 171 00:08:39,520 --> 00:08:42,600 Speaker 1: that may be an overcount the way that's that's one 172 00:08:42,600 --> 00:08:44,160 Speaker 1: and a half people per state. 173 00:08:45,120 --> 00:08:47,200 Speaker 3: Yeah, that's roughly that eighty people per. 174 00:08:47,120 --> 00:08:49,040 Speaker 1: Day on the k like we should shut everything down 175 00:08:49,080 --> 00:08:52,280 Speaker 1: for that one guy well who croaked today somewhere. 176 00:08:52,720 --> 00:08:55,320 Speaker 2: I have to say that's the one thing that survived 177 00:08:55,360 --> 00:08:57,480 Speaker 2: three years later. We didn't do all that. And remember 178 00:08:57,480 --> 00:08:59,000 Speaker 2: we were back then talking about oh my god, not 179 00:08:59,120 --> 00:08:59,880 Speaker 2: masking forever. 180 00:09:00,040 --> 00:09:02,600 Speaker 1: If we could save just one life, it's probably some 181 00:09:02,640 --> 00:09:05,040 Speaker 1: old guy in Madeskto we could have saved, and we 182 00:09:05,200 --> 00:09:06,760 Speaker 1: just continued locking down the state. 183 00:09:07,080 --> 00:09:09,080 Speaker 2: That's a good point, all right. As soon as we 184 00:09:09,120 --> 00:09:11,160 Speaker 2: come back, you'll have a chance at money. We will 185 00:09:11,200 --> 00:09:14,480 Speaker 2: reveal another keyword and you just follow the directions. You 186 00:09:14,520 --> 00:09:18,000 Speaker 2: could win one thousand dollars. Johnny KENKFI AM six forty 187 00:09:18,000 --> 00:09:19,679 Speaker 2: Live everywhere iHeartRadio app. 188 00:09:20,760 --> 00:09:24,120 Speaker 4: You're listening to John and Ken on demand from KFI 189 00:09:24,320 --> 00:09:25,280 Speaker 4: AM six forty. 190 00:09:27,120 --> 00:09:28,640 Speaker 3: There's another ozone warning. 191 00:09:29,120 --> 00:09:31,720 Speaker 2: Wow, this is one of the big pollutants that comes 192 00:09:31,760 --> 00:09:35,440 Speaker 2: out when you get a heat wave. High temperatures increase 193 00:09:35,480 --> 00:09:38,160 Speaker 2: the contents of ozone in the air, which can cause 194 00:09:38,880 --> 00:09:41,520 Speaker 2: some respiratory problems for people. 195 00:09:42,480 --> 00:09:44,840 Speaker 3: So they're issuing another one of these warnings. 196 00:09:45,720 --> 00:09:48,880 Speaker 2: Meanwhile, of course, the story with the heat that is 197 00:09:48,920 --> 00:09:53,840 Speaker 2: getting the most attention is Phoenix, Arizona, where they've had 198 00:09:53,880 --> 00:09:57,240 Speaker 2: the nineteenth consecutive day where the temperature has hit at 199 00:09:57,280 --> 00:10:00,800 Speaker 2: least one hundred and ten that hasn't happened there since 200 00:10:00,880 --> 00:10:02,400 Speaker 2: nineteen seventy four. 201 00:10:03,760 --> 00:10:04,880 Speaker 3: This is for major. 202 00:10:04,640 --> 00:10:07,440 Speaker 2: Cities defined as the twenty five most populous in the 203 00:10:07,520 --> 00:10:10,840 Speaker 2: United States. Any streak of one hundred and ten degree 204 00:10:10,880 --> 00:10:15,880 Speaker 2: days or ninety degree nights longer than Phoenix has not happened. 205 00:10:16,400 --> 00:10:18,839 Speaker 2: So now, well, places like Death Valley, yes, but Death 206 00:10:18,920 --> 00:10:20,480 Speaker 2: Valley is not considered a major city. 207 00:10:20,520 --> 00:10:23,600 Speaker 1: So yeah, well, Phoenix has a lot of that heat 208 00:10:23,640 --> 00:10:30,040 Speaker 1: island effect. They have rapidly expanded. They're building homes and 209 00:10:31,120 --> 00:10:35,080 Speaker 1: concrete mean lots of lots of an asphalt. Yeah, because 210 00:10:35,400 --> 00:10:37,400 Speaker 1: lots of people moved there. I mean the real estate 211 00:10:37,440 --> 00:10:41,440 Speaker 1: market in Phoenix, because I know somebody who lives there, 212 00:10:41,480 --> 00:10:44,440 Speaker 1: and it went up a thirty three percent, you know, 213 00:10:44,640 --> 00:10:47,880 Speaker 1: during that two year COVID stretch, and it got to 214 00:10:47,920 --> 00:10:50,720 Speaker 1: the point where where there's some locals were moving out 215 00:10:50,760 --> 00:10:53,040 Speaker 1: because they couldn't afford the rent increase. It is because 216 00:10:53,080 --> 00:10:56,000 Speaker 1: so many people were moving in and driving up the prices. 217 00:10:56,600 --> 00:10:58,480 Speaker 1: So it's strange dynamic going on there. 218 00:10:58,880 --> 00:11:03,640 Speaker 2: But Phoenix and not have air conditioning, But it's gifted 219 00:11:03,720 --> 00:11:05,800 Speaker 2: in this story that there would be particularly hard on 220 00:11:05,840 --> 00:11:09,000 Speaker 2: people without air conditioning. When I've been in Phoenix, there's 221 00:11:09,040 --> 00:11:12,080 Speaker 2: nobody out on the streets all day during the summer. 222 00:11:12,400 --> 00:11:12,920 Speaker 3: In the summer. 223 00:11:13,000 --> 00:11:16,240 Speaker 2: Yeah, a lot of them come here. Tons of Arizona 224 00:11:16,320 --> 00:11:17,960 Speaker 2: license plates driving around during the summer. 225 00:11:18,040 --> 00:11:18,240 Speaker 3: Yeah. 226 00:11:18,240 --> 00:11:22,000 Speaker 1: San Diego's big haven for Arizona vacationers. Right, they just 227 00:11:22,200 --> 00:11:22,760 Speaker 1: screwed down the. 228 00:11:22,880 --> 00:11:23,679 Speaker 3: Place to be in the winter. 229 00:11:23,760 --> 00:11:26,480 Speaker 1: But you don't want to be there between say, June 230 00:11:26,520 --> 00:11:27,439 Speaker 1: and September. 231 00:11:28,160 --> 00:11:30,400 Speaker 3: Yeah, So I mean you drive around. 232 00:11:30,559 --> 00:11:35,000 Speaker 1: I don't think really inconveniences people, because even if it 233 00:11:35,080 --> 00:11:38,120 Speaker 1: was one hundred instead of one to ten or ninety five, 234 00:11:38,280 --> 00:11:40,199 Speaker 1: you're still going to be indoors with the air conditioning 235 00:11:40,240 --> 00:11:44,200 Speaker 1: on all day. So what the exact high temperature is 236 00:11:44,200 --> 00:11:46,680 Speaker 1: is not really going to change anybody's life there. And 237 00:11:46,760 --> 00:11:50,160 Speaker 1: the more you have, the more you're building, more developments 238 00:11:50,160 --> 00:11:52,719 Speaker 1: and more cement, more asphalt. Yeah, you're going to keep 239 00:11:52,760 --> 00:11:54,080 Speaker 1: ticking up another degree or two. 240 00:11:55,600 --> 00:11:58,280 Speaker 2: They have not only two hundred cooling centers, but also 241 00:11:58,360 --> 00:12:02,439 Speaker 2: hydration centers in the metro area. Hydration center, John, we 242 00:12:02,440 --> 00:12:05,960 Speaker 2: didn't think of that. I here and get water, yeah, 243 00:12:06,040 --> 00:12:08,280 Speaker 2: or gatorade. Yeah, But it says a lot of them 244 00:12:08,320 --> 00:12:10,520 Speaker 2: have to shut down between four and seven because of 245 00:12:10,559 --> 00:12:11,800 Speaker 2: staffing and funding issues. 246 00:12:12,240 --> 00:12:13,640 Speaker 1: Oh well, that would seem to be more of the 247 00:12:13,720 --> 00:12:16,440 Speaker 1: peaky hours. But in all the water evaporates too. 248 00:12:16,520 --> 00:12:21,320 Speaker 2: That's another problem of a drive from the nutty world 249 00:12:21,320 --> 00:12:25,400 Speaker 2: of people fighting over this. We have a congresswoman from Minnesota, 250 00:12:25,600 --> 00:12:29,360 Speaker 2: ilhan Omar, who sent out the following tweet. 251 00:12:29,800 --> 00:12:31,079 Speaker 3: You might find it alarmist. 252 00:12:31,800 --> 00:12:33,959 Speaker 2: The Earth just broke the record for the hottest day 253 00:12:33,960 --> 00:12:36,959 Speaker 2: in one hundred and twenty thousand years. In fact, we 254 00:12:37,040 --> 00:12:40,440 Speaker 2: broke it on three separate days. National Climate Emergency. Now, 255 00:12:49,000 --> 00:12:51,440 Speaker 2: somebody noted that it looks like the source for the 256 00:12:51,480 --> 00:12:55,040 Speaker 2: claim is that University of Maine, the climate reanalyzer, remember. 257 00:12:54,720 --> 00:12:57,319 Speaker 1: That we talked about Daddy have to Wiskey malloy. That's 258 00:12:57,360 --> 00:13:00,120 Speaker 1: another crazy phony climate boddler. 259 00:13:00,600 --> 00:13:02,160 Speaker 3: One hundred and twenty thousand years. 260 00:13:02,480 --> 00:13:05,880 Speaker 1: They have data when we talk to Steve Molloy about 261 00:13:05,880 --> 00:13:10,240 Speaker 1: this yesterday, they only have weather data stretching back to 262 00:13:10,360 --> 00:13:14,080 Speaker 1: nineteen seventy nine for this machine. 263 00:13:14,440 --> 00:13:17,360 Speaker 3: Well, the history of the planet. 264 00:13:17,400 --> 00:13:20,160 Speaker 1: That's not a lot, that's not even a blip, that's 265 00:13:20,200 --> 00:13:23,320 Speaker 1: not even a that's forty four years a super micro, 266 00:13:23,640 --> 00:13:28,599 Speaker 1: not even the even this Climate Change Institute says the 267 00:13:28,679 --> 00:13:33,040 Speaker 1: data should not be taken as official observational records. 268 00:13:33,080 --> 00:13:33,640 Speaker 3: No kidding. 269 00:13:34,280 --> 00:13:37,360 Speaker 1: Oh so so this this record heat one hundred and 270 00:13:37,440 --> 00:13:42,240 Speaker 1: twenty five thousand years ago was not actually observed by anyone. 271 00:13:42,520 --> 00:13:43,640 Speaker 3: It's not been recorded. 272 00:13:43,800 --> 00:13:48,480 Speaker 1: Now, I looked online because I knew that period of 273 00:13:48,520 --> 00:13:52,320 Speaker 1: time there was something historic about it in terms of evolution. 274 00:13:52,880 --> 00:13:54,400 Speaker 1: And if you go back one hundred and twenty five 275 00:13:54,480 --> 00:13:59,040 Speaker 1: thousand years, humans were just beginning to move out of 276 00:13:59,120 --> 00:14:02,600 Speaker 1: Asia and Africa. That that's where that's where human beings 277 00:14:02,720 --> 00:14:07,240 Speaker 1: evolved out of and then they started moving to all 278 00:14:07,280 --> 00:14:09,400 Speaker 1: the other continents as soon as they figured out how 279 00:14:09,440 --> 00:14:12,400 Speaker 1: to build a boat or they'd walk a really long way. 280 00:14:13,000 --> 00:14:15,280 Speaker 1: And and so that's about a hundred and one hundred 281 00:14:15,280 --> 00:14:18,040 Speaker 1: and twenty five thousand years ago we had the Neanderthals 282 00:14:18,600 --> 00:14:22,200 Speaker 1: just starting your friends. Yeah, so, who, by the way, 283 00:14:22,600 --> 00:14:24,680 Speaker 1: have gotten a bad rap. Turns out they were a 284 00:14:24,720 --> 00:14:28,640 Speaker 1: lot smarter. Okay, all right, all right, so my ancestors 285 00:14:28,680 --> 00:14:29,520 Speaker 1: weren't that dumb. 286 00:14:30,400 --> 00:14:31,480 Speaker 3: But you didn't see they're. 287 00:14:31,360 --> 00:14:33,000 Speaker 2: The ones in the cartoons that you know they clubbed 288 00:14:33,000 --> 00:14:34,360 Speaker 2: the woman and drager back to the cave. 289 00:14:34,440 --> 00:14:36,880 Speaker 3: Is that the Neanderthals. Oh, yes, that's the whey it 290 00:14:36,960 --> 00:14:37,280 Speaker 3: used to be. 291 00:14:40,800 --> 00:14:43,240 Speaker 1: It was. You know, you had these poken grunts. He 292 00:14:43,360 --> 00:14:46,040 Speaker 1: had these primal urges. Oh yeah, they came out of 293 00:14:46,080 --> 00:14:49,440 Speaker 1: the cave and they go, oh hot, hot, woman, Come 294 00:14:49,480 --> 00:14:55,120 Speaker 1: with me, woman, no temperature. So so you're going back 295 00:14:55,120 --> 00:14:59,080 Speaker 1: to a time where humans didn't populate much of the planet, 296 00:14:59,120 --> 00:15:01,520 Speaker 1: they hadn't figured out to travel yet, and you had 297 00:15:01,520 --> 00:15:03,800 Speaker 1: a time where you know, some of the strains of 298 00:15:03,880 --> 00:15:06,880 Speaker 1: humanity we're just developing, and we're going to go extinct. 299 00:15:07,600 --> 00:15:11,520 Speaker 1: I'm just guessing there's no sophisticated temperature records from back then. 300 00:15:12,040 --> 00:15:14,200 Speaker 3: Oh and someone chimed in. 301 00:15:14,240 --> 00:15:17,880 Speaker 2: The first modern thermometer was seventeen fourteen, by of course, 302 00:15:17,920 --> 00:15:23,640 Speaker 2: Gabriel Fahrenheit, and any kind of a thermometer first popped 303 00:15:23,720 --> 00:15:28,680 Speaker 2: up with Galileo in the late fifteen hundreds. So how 304 00:15:28,680 --> 00:15:31,120 Speaker 2: can we go back one hundred and twenty thousand years 305 00:15:31,200 --> 00:15:32,160 Speaker 2: and have any. 306 00:15:32,240 --> 00:15:38,000 Speaker 1: Kind of the thermometer became widespread popularized in probably the 307 00:15:38,040 --> 00:15:40,440 Speaker 1: mid eighteen hundreds, because we have records going back to 308 00:15:40,440 --> 00:15:45,720 Speaker 1: eighteen seventy or so here in Los Angeles. So it 309 00:15:45,880 --> 00:15:52,280 Speaker 1: is it is total nonsense, total horseman door but did 310 00:15:52,280 --> 00:15:56,480 Speaker 1: you see next week what? Oh, I'll pull it up 311 00:15:56,480 --> 00:16:00,920 Speaker 1: here for you next Oh, they dipped a little bit. 312 00:16:01,280 --> 00:16:02,560 Speaker 2: It was going to be like one hundred and two 313 00:16:02,600 --> 00:16:04,640 Speaker 2: in Burbank next Thursday, but now they have it down 314 00:16:04,680 --> 00:16:07,760 Speaker 2: at ninety four one hundred on Sunday. 315 00:16:08,160 --> 00:16:08,400 Speaker 3: Yeah. 316 00:16:08,720 --> 00:16:13,320 Speaker 1: I didn't think last weekend's uh weather scare panned out either. No, 317 00:16:13,360 --> 00:16:15,800 Speaker 1: I would say it didn't, although the coverage certainly, well, 318 00:16:15,840 --> 00:16:19,320 Speaker 1: you see like it. They have nothing to do, you know. 319 00:16:19,520 --> 00:16:23,160 Speaker 1: I do notice the excess of local news now and you've. 320 00:16:23,040 --> 00:16:24,120 Speaker 3: Still got to put on a show. 321 00:16:24,200 --> 00:16:27,280 Speaker 1: Right, Oh my god, you can get local news nearly 322 00:16:27,480 --> 00:16:31,880 Speaker 1: every hour of the day. Now somebody is blasting off 323 00:16:31,960 --> 00:16:35,040 Speaker 1: some kinds of nonsense. So they have all this time 324 00:16:35,080 --> 00:16:39,600 Speaker 1: to fill and so they and they need hysteria. 325 00:16:41,920 --> 00:16:44,080 Speaker 2: A right when we come back, Oh, we're going to 326 00:16:44,160 --> 00:16:46,080 Speaker 2: go back in time on the John and Ken Show 327 00:16:46,120 --> 00:16:48,800 Speaker 2: to talk about something that should never come into being, 328 00:16:49,280 --> 00:16:53,600 Speaker 2: and that was taxing the smokers nineteen ninety eight for 329 00:16:53,720 --> 00:16:56,880 Speaker 2: programs that would help families with young children. Remember John, 330 00:16:56,920 --> 00:16:59,440 Speaker 2: the first five programs California that. 331 00:16:59,440 --> 00:17:03,520 Speaker 1: Was crazy Rob Reiners initiative. Yeah, yeah, well we'll tell 332 00:17:03,520 --> 00:17:06,040 Speaker 1: you where that is today and it's not looking good more. 333 00:17:06,080 --> 00:17:08,480 Speaker 2: Coming up John and Ken kf I Am six forty 334 00:17:08,520 --> 00:17:09,960 Speaker 2: live everywhere iHeartRadio app. 335 00:17:10,000 --> 00:17:10,840 Speaker 3: He was such a load. 336 00:17:12,200 --> 00:17:15,520 Speaker 4: You're listening to John and Ken on demand from KFI 337 00:17:15,760 --> 00:17:17,040 Speaker 4: AM six forty. 338 00:17:18,840 --> 00:17:21,000 Speaker 1: Around the radio from one till four and after four 339 00:17:21,000 --> 00:17:23,600 Speaker 1: o'clock you go to the Iheard app, the iHeart app 340 00:17:23,600 --> 00:17:26,320 Speaker 1: for the John and Ken on demand. 341 00:17:26,440 --> 00:17:28,520 Speaker 3: Podcast catch up on what you missed. 342 00:17:29,160 --> 00:17:31,480 Speaker 2: The moistline will be back in three days. So we're 343 00:17:31,520 --> 00:17:33,199 Speaker 2: just giving their heads up to leave a message. You 344 00:17:33,280 --> 00:17:36,400 Speaker 2: got something to say, use the iHeartRadio app. The microphone 345 00:17:36,560 --> 00:17:38,600 Speaker 2: icon is there, easy handy way to leave a message. 346 00:17:38,600 --> 00:17:41,920 Speaker 2: They're all heard, they're not all plate. The Tophrey number 347 00:17:41,920 --> 00:17:43,960 Speaker 2: is one eight seven seven moist eighty six one eight 348 00:17:44,000 --> 00:17:47,920 Speaker 2: seven seven six six ' four seven eight eight six 349 00:17:48,480 --> 00:17:51,119 Speaker 2: Coming up after two o'clock. How bad is it again 350 00:17:51,280 --> 00:17:54,280 Speaker 2: in Venice with the homeless on the boardwalk. We'll talk 351 00:17:54,320 --> 00:17:56,439 Speaker 2: to somebody that tracks this kind of thing. We'll get 352 00:17:56,480 --> 00:17:58,879 Speaker 2: a first hand to count. A bunch of media stories 353 00:17:58,880 --> 00:18:01,040 Speaker 2: it ran over the weekend. The Daily Mail, the New 354 00:18:01,119 --> 00:18:04,679 Speaker 2: York Post and Fox News said they're back. And remember 355 00:18:04,680 --> 00:18:07,000 Speaker 2: he talked about the guy named Beers yesterday. His last 356 00:18:07,040 --> 00:18:10,399 Speaker 2: name is Beers. Yes, Scott Beers, who was very happy 357 00:18:10,440 --> 00:18:12,280 Speaker 2: to give up a farm in Nevada and just come 358 00:18:12,280 --> 00:18:14,560 Speaker 2: and sit there on the beach with his girlfriend on 359 00:18:14,600 --> 00:18:15,160 Speaker 2: the boardwalk. 360 00:18:15,200 --> 00:18:18,240 Speaker 3: Can't beat the view. He should be dragged back to Nevada. Left. 361 00:18:18,280 --> 00:18:20,199 Speaker 2: My favorite part though, as he talked about everything they 362 00:18:20,200 --> 00:18:22,119 Speaker 2: give away in Venice, all the meals, the Church of 363 00:18:22,200 --> 00:18:22,960 Speaker 2: the city gives. 364 00:18:22,760 --> 00:18:25,920 Speaker 1: Away all the stuff. So yeah, because they're stupid in Venice. 365 00:18:26,160 --> 00:18:31,080 Speaker 1: They're really stupid. And I'm so sick of those churches too, 366 00:18:31,400 --> 00:18:33,680 Speaker 1: because the churches do so much damage with all the 367 00:18:33,760 --> 00:18:36,560 Speaker 1: free stuff that they give out to these people. 368 00:18:37,320 --> 00:18:38,080 Speaker 3: And you're not just. 369 00:18:38,160 --> 00:18:42,080 Speaker 2: Really lost its self reliance and self responsibility motives, they're. 370 00:18:41,840 --> 00:18:42,520 Speaker 3: All just gone. 371 00:18:42,880 --> 00:18:47,840 Speaker 1: Yeah gone, no work ethics gone. And it's Bill we'll 372 00:18:47,840 --> 00:18:49,440 Speaker 1: talk about coming up after two o'clock. 373 00:18:49,760 --> 00:18:53,639 Speaker 2: Twenty five years ago, the dopey voters of California passed 374 00:18:53,680 --> 00:18:59,040 Speaker 2: Proposition ten, nineteen ninety eight, tobacco tax. It was supposed 375 00:18:59,040 --> 00:19:02,639 Speaker 2: to help family with young children. John's right. It was 376 00:19:02,760 --> 00:19:05,640 Speaker 2: Rob Ryder. It was the big proponent. It turned into 377 00:19:05,680 --> 00:19:09,880 Speaker 2: something called First five California. There was a warning back then, 378 00:19:09,960 --> 00:19:12,960 Speaker 2: if we're successful in getting people to give up smoking. Well, 379 00:19:12,960 --> 00:19:15,679 Speaker 2: that could dry up your money, and it has Do 380 00:19:15,720 --> 00:19:16,520 Speaker 2: you have any idea? 381 00:19:16,760 --> 00:19:18,280 Speaker 3: This will be good to ask you off the cuff. 382 00:19:18,880 --> 00:19:22,600 Speaker 2: The average pack of Marlboro cigarettes in Los Angeles costs. 383 00:19:24,720 --> 00:19:27,560 Speaker 3: Once in a while I noticed cigarette prices. Oh you do. 384 00:19:27,760 --> 00:19:30,480 Speaker 3: I never do because behind the counter I pay no attention. Yeah. 385 00:19:30,560 --> 00:19:35,040 Speaker 1: Sometimes in front of in front of convenience shops, they'll 386 00:19:35,080 --> 00:19:38,960 Speaker 1: have a little placard with them, like nine dollars. 387 00:19:39,400 --> 00:19:40,960 Speaker 3: Says here twelve twelve. 388 00:19:41,280 --> 00:19:43,960 Speaker 2: The average price for the state nine dollars and sixty 389 00:19:43,960 --> 00:19:47,000 Speaker 2: three cents, but in Los Angeles twelve. Well for a 390 00:19:47,400 --> 00:19:51,680 Speaker 2: pack of cigarettes, twenty cigarettes, twenty cigarettes, right, yep, got 391 00:19:51,760 --> 00:19:57,080 Speaker 2: so that's almost entirely taxes. Well, it's two dollars and 392 00:19:57,240 --> 00:19:59,359 Speaker 2: what is it eighty seven cents, So taxed on a 393 00:19:59,400 --> 00:20:02,920 Speaker 2: standard pack cigarettes, that's what you're paying taxes. California total 394 00:20:02,960 --> 00:20:07,479 Speaker 2: tax almost three bucks from nineteen eighty nine to twenty nineteen, 395 00:20:07,480 --> 00:20:11,359 Speaker 2: though California's smoking rate dropped from twenty two percent to 396 00:20:11,520 --> 00:20:15,800 Speaker 2: ten percent. So this means that first five, which is 397 00:20:15,800 --> 00:20:19,439 Speaker 2: supposed to save the babies, is drying up out of money. 398 00:20:19,800 --> 00:20:22,320 Speaker 2: And John, as you know, as we've talked about the homeless, 399 00:20:22,320 --> 00:20:25,480 Speaker 2: industrial complex and all these industrial complexes. This could be 400 00:20:25,520 --> 00:20:27,840 Speaker 2: a lot of people with a lot of quote nonprofits 401 00:20:27,840 --> 00:20:30,600 Speaker 2: and other organizations that get this money, who could be 402 00:20:30,640 --> 00:20:32,040 Speaker 2: dealing with some hard times. 403 00:20:32,200 --> 00:20:37,320 Speaker 3: Well they all go to business. Then, well there's the 404 00:20:37,359 --> 00:20:37,720 Speaker 3: best part. 405 00:20:37,760 --> 00:20:40,040 Speaker 1: The same crowd wanted to get rid of smokers, so 406 00:20:40,560 --> 00:20:43,000 Speaker 1: they got rid of ninety percent of them. 407 00:20:43,440 --> 00:20:47,560 Speaker 2: This thing took in hundreds of millions of dollars by 408 00:20:47,640 --> 00:20:52,159 Speaker 2: nineteen ninety nine. But now by the year twenty twenty six, 409 00:20:52,400 --> 00:20:54,879 Speaker 2: they could be losing almost thirty to forty percent of 410 00:20:54,880 --> 00:20:56,719 Speaker 2: the funding what they had in twenty twenty one. 411 00:20:56,840 --> 00:20:58,360 Speaker 3: And what did it go for exactly? 412 00:20:59,359 --> 00:21:04,320 Speaker 2: Well, by the way, the first five received six hundred 413 00:21:04,359 --> 00:21:07,600 Speaker 2: and ninety million dollars in nineteen ninety nine two thousand. 414 00:21:07,840 --> 00:21:11,600 Speaker 2: Now they're down to three hundred and forty eight million dollars. 415 00:21:11,720 --> 00:21:13,840 Speaker 2: But what that's expected to shrink even further. 416 00:21:13,880 --> 00:21:16,120 Speaker 1: But that adds up to many billions of dollars. So 417 00:21:16,359 --> 00:21:17,720 Speaker 1: what did the world get out of that? 418 00:21:18,480 --> 00:21:21,040 Speaker 2: Well, that cowing that they I'm looking at the story 419 00:21:21,080 --> 00:21:24,080 Speaker 2: here because it just mentions programs in different countgrams. They 420 00:21:24,080 --> 00:21:29,119 Speaker 2: set up clinics, babies and stuff, immunization clinics. They have 421 00:21:29,200 --> 00:21:29,960 Speaker 2: all sorts of. 422 00:21:30,200 --> 00:21:31,920 Speaker 3: Let me see, I just it was a list here 423 00:21:31,960 --> 00:21:33,000 Speaker 3: of one of. 424 00:21:33,000 --> 00:21:38,880 Speaker 1: The But what's the tangible difference? Like children who started 425 00:21:38,920 --> 00:21:44,600 Speaker 1: going to these programs in the late nineteen nineties, they're 426 00:21:44,600 --> 00:21:47,520 Speaker 1: probably twenty five to thirty years old. Now, what's different 427 00:21:47,520 --> 00:21:51,879 Speaker 1: about them compared to adults who are thirty five to forty. 428 00:21:52,280 --> 00:21:52,480 Speaker 3: Oh. 429 00:21:52,640 --> 00:21:55,000 Speaker 2: I'll always say, well, if we hadn't done this, imagine 430 00:21:55,000 --> 00:21:56,240 Speaker 2: how worse these kids would be. 431 00:21:57,200 --> 00:22:00,360 Speaker 1: I don't know, are they What I'm wondering is what 432 00:22:00,680 --> 00:22:05,680 Speaker 1: can they prove made their lives different? What's the metric 433 00:22:06,080 --> 00:22:09,360 Speaker 1: that makes it clear that without this money that their 434 00:22:09,359 --> 00:22:12,720 Speaker 1: lives would have been significantly compromised in some way? 435 00:22:13,160 --> 00:22:13,880 Speaker 3: Oh? Here it is. 436 00:22:14,080 --> 00:22:18,080 Speaker 2: Stanislaus County has something called Planet Baby Support for pregnant 437 00:22:18,080 --> 00:22:21,359 Speaker 2: women and moms. This comes in addition to programs for 438 00:22:21,440 --> 00:22:25,439 Speaker 2: foster children, dental health services. It claims here they have 439 00:22:25,560 --> 00:22:30,320 Speaker 2: a developmental screenings, family case management, parenting classes john and 440 00:22:30,480 --> 00:22:33,720 Speaker 2: home visits from a nurse for first time mothers parenting classes. 441 00:22:35,160 --> 00:22:37,880 Speaker 3: Yes, well, I. 442 00:22:37,840 --> 00:22:39,920 Speaker 2: Thought you and your wife were flummox when your first 443 00:22:39,920 --> 00:22:41,480 Speaker 2: son was coming along. You were like, we didn't know 444 00:22:41,480 --> 00:22:41,800 Speaker 2: what to do. 445 00:22:41,840 --> 00:22:43,280 Speaker 3: We read books, So you figure it out. 446 00:22:43,359 --> 00:22:46,119 Speaker 1: Yeah, well you figure it out though, I mean, it's 447 00:22:46,200 --> 00:22:49,960 Speaker 1: not that hard, and you know, eventually you just. 448 00:22:49,880 --> 00:22:51,399 Speaker 3: Don't put the baby down on the top of the 449 00:22:51,400 --> 00:22:53,280 Speaker 3: car and drive off. Correct. 450 00:22:53,320 --> 00:23:01,040 Speaker 2: That would be one The tobacco tax dollars make up 451 00:23:01,080 --> 00:23:03,199 Speaker 2: seventy three percent of their budget, so that's why they 452 00:23:03,240 --> 00:23:05,760 Speaker 2: need this money. But you know, you asked a question 453 00:23:05,840 --> 00:23:08,200 Speaker 2: a minute ago, and the answer is coming here from 454 00:23:08,240 --> 00:23:10,639 Speaker 2: one of the the first five guy in Kerrent County 455 00:23:11,119 --> 00:23:13,440 Speaker 2: who said, let's tax something else. 456 00:23:13,480 --> 00:23:17,560 Speaker 3: Then, how about alcohol. Let's tax something else. 457 00:23:20,560 --> 00:23:24,760 Speaker 1: Let's pick something that we think is socially inappropriate. 458 00:23:24,840 --> 00:23:27,400 Speaker 2: Oh, here it is Amy Travis, executive director, First five 459 00:23:27,480 --> 00:23:29,880 Speaker 2: Kurrn County, said, we know the taxes work. So if 460 00:23:29,880 --> 00:23:34,320 Speaker 2: tobacco is declining, then alcohol, marijuana, or sugary beverages. She 461 00:23:34,359 --> 00:23:36,160 Speaker 2: suggests sugary beverages again. 462 00:23:36,400 --> 00:23:39,879 Speaker 1: Oh, anything that people enjoy alcohol relaxes you. 463 00:23:39,960 --> 00:23:43,399 Speaker 3: We have to tax that marijuana. Marijuana. Have they already 464 00:23:43,480 --> 00:23:47,719 Speaker 3: taxed marijuana enough? Yeah? How would you know that? 465 00:23:48,800 --> 00:23:54,479 Speaker 1: It says? Okay, good answer. Yeah, anything that people enjoys 466 00:23:54,520 --> 00:23:57,280 Speaker 1: that make them feel better. This lady wants to tax 467 00:23:57,400 --> 00:23:59,639 Speaker 1: or considered vices. Somebody ought to go up to this 468 00:23:59,720 --> 00:24:02,359 Speaker 1: lady and say, what is it that you've done, And 469 00:24:02,400 --> 00:24:05,120 Speaker 1: don't tell me how much you've spent around, how many 470 00:24:05,200 --> 00:24:08,880 Speaker 1: people have accessed your services, what difference has it made 471 00:24:08,920 --> 00:24:11,719 Speaker 1: in their lives? And why can't a parent figure out 472 00:24:11,760 --> 00:24:14,000 Speaker 1: how to parent on their own, like talk to their 473 00:24:14,000 --> 00:24:17,480 Speaker 1: own parents, talk to their brothers and sisters who have kids. 474 00:24:17,880 --> 00:24:21,280 Speaker 1: It's not that complicated. It's not nuclear codes that you're 475 00:24:21,320 --> 00:24:22,120 Speaker 1: trying to deduce. 476 00:24:22,640 --> 00:24:24,720 Speaker 2: Oh see now, one lady in the story said, oh, well, 477 00:24:24,760 --> 00:24:26,480 Speaker 2: I used to work in Santa Clara County. We reach 478 00:24:26,480 --> 00:24:28,439 Speaker 2: out to Google, the tech firms and they would give 479 00:24:28,520 --> 00:24:30,280 Speaker 2: us money. Well, fine, why as you get money from 480 00:24:30,280 --> 00:24:32,360 Speaker 2: private sources these programs are that important? 481 00:24:32,600 --> 00:24:34,760 Speaker 3: Go ahead and do that. I bet you they're not important. 482 00:24:34,800 --> 00:24:36,200 Speaker 3: I bet you doesn't make any difference. 483 00:24:36,320 --> 00:24:38,920 Speaker 1: And it's hon of it sounds like just other welfare 484 00:24:38,960 --> 00:24:43,320 Speaker 1: programs because a lot of that stuff already is in government. 485 00:24:43,359 --> 00:24:47,080 Speaker 1: You can get health screenings and you can get vaccination 486 00:24:47,240 --> 00:24:51,679 Speaker 1: shots from any number of healthcare programs. There's you know, 487 00:24:51,680 --> 00:24:55,600 Speaker 1: there's Medicaid. I mean, I don't understand this. I think 488 00:24:55,600 --> 00:25:00,520 Speaker 1: this was just another bloated bureaucracy that these nonprofits, these 489 00:25:00,560 --> 00:25:05,439 Speaker 1: parasite nonprofits attached themselves too, and all these people are 490 00:25:05,480 --> 00:25:09,359 Speaker 1: making six figure salaries. Remember we warned this. We said 491 00:25:09,400 --> 00:25:11,440 Speaker 1: this back when this ballot measure was up. We said, well, 492 00:25:11,680 --> 00:25:13,919 Speaker 1: if smoking does decline like it's projected to, and you 493 00:25:13,960 --> 00:25:17,240 Speaker 1: have this vast infrastructure of organizations taking all this first 494 00:25:17,320 --> 00:25:21,320 Speaker 1: five money, what's gonna happen when the tax revenues declined significantly. 495 00:25:21,440 --> 00:25:23,600 Speaker 1: So here we are twenty five years later, and there's 496 00:25:23,600 --> 00:25:26,040 Speaker 1: some big drop offs. And that's part of the reason 497 00:25:26,080 --> 00:25:28,440 Speaker 1: that the smoking numbers went down was because it got 498 00:25:28,440 --> 00:25:32,960 Speaker 1: too expensive. Because poor people smoke more, right, because then 499 00:25:33,000 --> 00:25:34,880 Speaker 1: her more stress earned her more stress. 500 00:25:35,680 --> 00:25:36,919 Speaker 3: All right, we got more called up. 501 00:25:36,960 --> 00:25:40,000 Speaker 2: Johnny Ken KFIM six forty live everywhere, iHeartRadio app. 502 00:25:40,040 --> 00:25:42,200 Speaker 1: I bet your first five has done nothing really though, 503 00:25:42,240 --> 00:25:43,400 Speaker 1: for the whole generation of kids. 504 00:25:43,440 --> 00:25:44,680 Speaker 2: Do you remember that one time we did the story 505 00:25:44,680 --> 00:25:46,280 Speaker 2: that they took the kids to a jelly bean factory and 506 00:25:46,320 --> 00:25:47,760 Speaker 2: we were like, yeah, my god, that's how they're. 507 00:25:47,560 --> 00:25:51,040 Speaker 3: Spending the money. Yeah, it was nonsense stuff. It's like 508 00:25:51,080 --> 00:25:51,800 Speaker 3: the homeless thing. 509 00:25:52,760 --> 00:25:56,120 Speaker 4: You're listening to John and Ken on demand from KFI 510 00:25:56,359 --> 00:25:58,760 Speaker 4: AM six forty. 511 00:26:00,960 --> 00:26:04,320 Speaker 2: Coming up after two o'clock and I love it when 512 00:26:04,359 --> 00:26:06,560 Speaker 2: the La Times does his story on the homeless, they 513 00:26:06,600 --> 00:26:08,720 Speaker 2: always talk to a woman. 514 00:26:08,560 --> 00:26:11,200 Speaker 3: Who's got kids or somebody with a disability. 515 00:26:11,680 --> 00:26:14,880 Speaker 2: But the New York Post did a story and they 516 00:26:14,880 --> 00:26:16,560 Speaker 2: talked to a guy in Venice by the name of 517 00:26:16,560 --> 00:26:20,120 Speaker 2: Scott Beers, who gave up a farm in Nevada, took 518 00:26:20,119 --> 00:26:22,960 Speaker 2: all his belongings and made his way to the beach 519 00:26:23,160 --> 00:26:24,879 Speaker 2: and the boardwalk in Venice. He had a twenty eight 520 00:26:24,920 --> 00:26:28,359 Speaker 2: acre cattle ranch and dairy farm. His wife died and 521 00:26:28,400 --> 00:26:30,199 Speaker 2: I guess he got depressed and he decided to come 522 00:26:30,200 --> 00:26:32,880 Speaker 2: to California and live lop on the beach and live 523 00:26:32,960 --> 00:26:33,560 Speaker 2: off us. 524 00:26:33,920 --> 00:26:34,280 Speaker 3: Venice. 525 00:26:34,320 --> 00:26:36,080 Speaker 2: You get hot showers every day. You can go out 526 00:26:36,080 --> 00:26:37,639 Speaker 2: to the food bank three days a week. There's a 527 00:26:37,720 --> 00:26:39,920 Speaker 2: church nearby, give you a hot meal. And I love 528 00:26:39,960 --> 00:26:43,840 Speaker 2: the views he paned handles and get some welfare money. 529 00:26:44,400 --> 00:26:46,560 Speaker 2: So it looks like some of the vegans are back 530 00:26:46,600 --> 00:26:48,439 Speaker 2: on the boardwalk in Venice. We're going to talk to 531 00:26:48,480 --> 00:26:52,720 Speaker 2: a solidad Whosura after the news at two o'clock for 532 00:26:53,640 --> 00:26:57,760 Speaker 2: more on this, because this would be a disappointment. The 533 00:26:57,880 --> 00:27:00,800 Speaker 2: hard work of then Sheriff Yana Wava and many others 534 00:27:00,880 --> 00:27:01,720 Speaker 2: to clear the. 535 00:27:01,680 --> 00:27:04,679 Speaker 1: Boardwalk largely of the homeless. Where's the that here they 536 00:27:04,680 --> 00:27:07,280 Speaker 1: are back again? Where's the puppet? Where's Robert Luna? The 537 00:27:07,280 --> 00:27:10,160 Speaker 1: new sheriff. He could go back in there and clear 538 00:27:10,200 --> 00:27:11,640 Speaker 1: things the way the Nawavid did. 539 00:27:12,080 --> 00:27:15,520 Speaker 3: Yeah, where's what? Where's the inside safe? Yeah? Yeah? 540 00:27:15,520 --> 00:27:18,320 Speaker 1: Where is Bassetti and inside safe? And where is Luna? 541 00:27:18,440 --> 00:27:21,120 Speaker 1: Or is he is he busy throwing his deputies under 542 00:27:21,119 --> 00:27:22,080 Speaker 1: the bus. 543 00:27:21,920 --> 00:27:24,520 Speaker 2: Well before we jumped to that. We'll see from solid 544 00:27:24,560 --> 00:27:26,680 Speaker 2: out our guest just what's going on there? And then 545 00:27:26,880 --> 00:27:29,520 Speaker 2: Tracy Park too, John Right, that's her, that's her district, 546 00:27:29,760 --> 00:27:30,439 Speaker 2: Countil district. 547 00:27:30,520 --> 00:27:33,680 Speaker 1: So uh and she's been working really hard to deal 548 00:27:33,680 --> 00:27:37,199 Speaker 1: with these homeless encampments in the John's council district on 549 00:27:37,240 --> 00:27:37,840 Speaker 1: the west side. 550 00:27:38,000 --> 00:27:39,920 Speaker 3: You know there's a few pop it up in front 551 00:27:39,920 --> 00:27:43,440 Speaker 3: of the v A again. Oh is it really? Yeah? 552 00:27:43,480 --> 00:27:45,240 Speaker 2: And I thought they were opening up all this housing 553 00:27:45,280 --> 00:27:47,640 Speaker 2: now on the VA grounds. Weren't they supposed did? It's 554 00:27:47,640 --> 00:27:48,280 Speaker 2: big grand Hope? 555 00:27:48,320 --> 00:27:48,680 Speaker 3: They did. 556 00:27:48,680 --> 00:27:51,000 Speaker 1: They had a lot of those tiny homes. But I 557 00:27:51,200 --> 00:27:53,200 Speaker 1: don't know where these new people came from, but they're 558 00:27:53,400 --> 00:27:54,080 Speaker 1: starting to just. 559 00:27:54,000 --> 00:27:55,680 Speaker 2: So they heard they're giving away tiny homes and he 560 00:27:55,760 --> 00:27:56,680 Speaker 2: came to get the next one. 561 00:27:56,760 --> 00:27:59,960 Speaker 1: They're just a few scattered uh repopulation. 562 00:28:00,000 --> 00:28:02,000 Speaker 2: She's just to camp out for like hunter tickets and stuff, 563 00:28:02,000 --> 00:28:05,760 Speaker 2: remember those days. Yeah, they camp out for days to 564 00:28:06,000 --> 00:28:08,040 Speaker 2: or to get in for a Black Friday. 565 00:28:08,080 --> 00:28:10,800 Speaker 1: Say maybe they're waiting for tickets for a concert five 566 00:28:10,880 --> 00:28:11,560 Speaker 1: years from now. 567 00:28:12,280 --> 00:28:16,399 Speaker 3: A woman in Germany, Uh, well, oh this is great. 568 00:28:16,480 --> 00:28:19,120 Speaker 3: I love this. So a woman in. 569 00:28:19,080 --> 00:28:23,080 Speaker 2: Germany had enough and she dragged a climate change activist 570 00:28:23,359 --> 00:28:27,800 Speaker 2: from blocking traffic. A video shows a woman screaming at 571 00:28:27,800 --> 00:28:31,480 Speaker 2: a climate change protester to get up from blocking a 572 00:28:31,680 --> 00:28:36,800 Speaker 2: road in Bottrop, Germany. According to a video that was posted, 573 00:28:37,280 --> 00:28:42,160 Speaker 2: then the woman grabs the activist by the hair drags 574 00:28:42,160 --> 00:28:44,880 Speaker 2: her to the side of the road, clearing the obstacle. 575 00:28:45,000 --> 00:28:49,560 Speaker 1: Right then the girl comes back blocks the road again, 576 00:28:49,680 --> 00:28:52,640 Speaker 1: and this same German woman dragged her a second time 577 00:28:52,760 --> 00:28:55,520 Speaker 1: by the hair. And the woman doing the dragging is 578 00:28:55,840 --> 00:28:59,760 Speaker 1: a youngest, attractive blonde. You know, it's not some big 579 00:29:00,040 --> 00:29:04,000 Speaker 1: ify German guy. And he's the nickname the Brutal Blonde. 580 00:29:05,040 --> 00:29:07,520 Speaker 3: She's not putting up with these idiots. And this is 581 00:29:07,520 --> 00:29:08,239 Speaker 3: what you gotta do. 582 00:29:08,320 --> 00:29:10,640 Speaker 1: You got to grab them by the hair, drag them 583 00:29:10,680 --> 00:29:13,240 Speaker 1: along the hot asphalt, right, the asphalt is probably one 584 00:29:13,320 --> 00:29:16,280 Speaker 1: hundred and twenty degrees. And give them some abrasions, give 585 00:29:16,360 --> 00:29:20,880 Speaker 1: them some road burns there, and that'll get them. 586 00:29:21,600 --> 00:29:24,040 Speaker 2: You know, the protesters are taught to sit and make 587 00:29:24,080 --> 00:29:26,960 Speaker 2: themselves really heavy and make it difficult for you to 588 00:29:26,960 --> 00:29:27,360 Speaker 2: get them. 589 00:29:27,400 --> 00:29:29,720 Speaker 3: So and she's not that. I don't think she's any 590 00:29:29,720 --> 00:29:30,760 Speaker 3: bigger than the activists. 591 00:29:30,800 --> 00:29:34,720 Speaker 2: So she decided to resort to pulling her hair. Yeah, excellent, 592 00:29:35,360 --> 00:29:37,720 Speaker 2: And you respond to that because that hurts. Yeah, a 593 00:29:37,760 --> 00:29:40,320 Speaker 2: woman doesn't like to lose their hair. Yeah, except this 594 00:29:40,440 --> 00:29:43,840 Speaker 2: dope went back out and asked for round two. The 595 00:29:44,040 --> 00:29:47,720 Speaker 2: activist was lightly lightly injured and police are looking into 596 00:29:47,880 --> 00:29:49,240 Speaker 2: possible criminal charges. 597 00:29:51,160 --> 00:29:54,360 Speaker 1: It says that angry drivers have been getting out of 598 00:29:54,400 --> 00:29:59,000 Speaker 1: their vehicles to yell, brate and forcibly remove these activists. 599 00:29:59,400 --> 00:30:02,520 Speaker 1: Seek You know what, you don't stir germans up. They 600 00:30:02,520 --> 00:30:03,760 Speaker 1: don't put up with stuff. 601 00:30:04,080 --> 00:30:07,680 Speaker 2: Shouldn't they only be blocking the fossil fuel cars if 602 00:30:07,720 --> 00:30:09,600 Speaker 2: they want to take this literally, when they get all 603 00:30:09,680 --> 00:30:11,080 Speaker 2: the zero emission cars. 604 00:30:10,920 --> 00:30:15,280 Speaker 3: Get off the road, you just get off the road. Honestly, 605 00:30:15,320 --> 00:30:16,720 Speaker 3: you're just asking to be run over. 606 00:30:18,520 --> 00:30:18,680 Speaker 1: Uh. 607 00:30:18,920 --> 00:30:22,000 Speaker 2: Yeah, So some drivers have knocked some of the activists 608 00:30:22,000 --> 00:30:23,640 Speaker 2: over and they drive right past them. 609 00:30:23,680 --> 00:30:24,480 Speaker 3: Yeah, all right, good. 610 00:30:24,920 --> 00:30:28,600 Speaker 2: Some of them glue their hands to the road. The 611 00:30:28,720 --> 00:30:31,840 Speaker 2: fire department is to chip out the cement underneath their hands. 612 00:30:32,400 --> 00:30:33,640 Speaker 3: Wow, this is good. 613 00:30:33,880 --> 00:30:36,880 Speaker 1: They a video of one guy screaming in pain as 614 00:30:36,880 --> 00:30:40,280 Speaker 1: they're trying to free his hand. So so the drivers 615 00:30:40,360 --> 00:30:46,240 Speaker 1: are are are winging the protesters right, knocking them over. 616 00:30:46,800 --> 00:30:49,120 Speaker 1: They're they're pulling their hair and dragging them off the road. 617 00:30:49,720 --> 00:30:54,920 Speaker 1: They're they're forcibly tearing their hands off the off the pavement. 618 00:30:55,360 --> 00:30:59,320 Speaker 1: Yeah and good, good, make them hurt. Here's a new one. 619 00:30:59,760 --> 00:31:03,600 Speaker 2: They went to the airport, include themselves to the runway 620 00:31:04,240 --> 00:31:07,640 Speaker 2: because air travel clearly they think it is a major 621 00:31:07,720 --> 00:31:08,520 Speaker 2: source of carbon. 622 00:31:08,880 --> 00:31:10,800 Speaker 3: They had to have one of the planes land on them. 623 00:31:11,000 --> 00:31:14,520 Speaker 2: They had to divert flights at several airports to remove 624 00:31:14,560 --> 00:31:15,440 Speaker 2: the protesters. 625 00:31:15,600 --> 00:31:19,840 Speaker 1: There is something in the German culture. They don't they 626 00:31:19,880 --> 00:31:26,240 Speaker 1: don't sit, they're going, Oh, lady just comes out. 627 00:31:26,120 --> 00:31:28,240 Speaker 3: And just rags you by the air on the asphalt. 628 00:31:28,520 --> 00:31:31,360 Speaker 3: I love that we don't have as much of this here. 629 00:31:31,440 --> 00:31:34,920 Speaker 2: Remember, though, there was a bunch of protesters who went 630 00:31:34,960 --> 00:31:37,239 Speaker 2: to like NBA playoff games where they were over animals, right, 631 00:31:37,200 --> 00:31:40,280 Speaker 2: wheren't they protesting animals. They had to get removed. One 632 00:31:40,320 --> 00:31:42,400 Speaker 2: of them chained themselves to the back borders. It was 633 00:31:42,400 --> 00:31:45,520 Speaker 2: and it wasn't it like, uh over fakes or chickens? Yeah, 634 00:31:45,560 --> 00:31:46,160 Speaker 2: over food. 635 00:31:46,480 --> 00:31:48,200 Speaker 3: It was the owner of the Minnesota Timberwolves had a 636 00:31:48,280 --> 00:31:52,240 Speaker 3: chicken farm, right right, that's right. We had all the 637 00:31:52,320 --> 00:31:55,000 Speaker 3: chickens killed because of the avian flew. All right. 638 00:31:55,320 --> 00:31:57,160 Speaker 2: Coming up next, we'll take it closer look at what's 639 00:31:57,200 --> 00:31:59,560 Speaker 2: going on in Venice with reports that the homeless are 640 00:31:59,600 --> 00:32:02,760 Speaker 2: back on the boardwalk. Johnny Ken kf I A M 641 00:32:02,840 --> 00:32:05,400 Speaker 2: six forty were live everywhere iHeartRadio, app 642 00:32:05,440 --> 00:32:07,320 Speaker 3: And deb Remark live in the twenty four hour CAFI 643 00:32:07,400 --> 00:32:07,800 Speaker 3: Newsroom