1 00:00:00,520 --> 00:00:02,880 Speaker 1: Caf I Am six forty. You're listening to the John 2 00:00:02,880 --> 00:00:08,640 Speaker 1: and Ken Show on demand on the iHeartRadio app. The 3 00:00:08,760 --> 00:00:12,160 Speaker 1: Moist line is coming back tomorrow, so here's another reminder 4 00:00:12,200 --> 00:00:15,920 Speaker 1: to leave your messages using the iHeart Radio app. That's 5 00:00:15,920 --> 00:00:18,239 Speaker 1: easy to do. Of course, the microphone icon has had 6 00:00:18,280 --> 00:00:21,240 Speaker 1: to connect or call the toll free number one eight 7 00:00:21,320 --> 00:00:24,640 Speaker 1: seven seven Moist eighty six one eight seven seven six 8 00:00:24,960 --> 00:00:30,160 Speaker 1: six four seven eight eight six. One of the things 9 00:00:30,200 --> 00:00:33,280 Speaker 1: that's kicking around because of all the storms that we've 10 00:00:33,280 --> 00:00:37,200 Speaker 1: had in California the last couple of months is this 11 00:00:37,280 --> 00:00:41,520 Speaker 1: little treat. The IRS says you don't have to file 12 00:00:41,560 --> 00:00:45,559 Speaker 1: your return until October. It's the federal government. Now what 13 00:00:45,560 --> 00:00:47,400 Speaker 1: they're trying to figure out is what California is going 14 00:00:47,479 --> 00:00:51,320 Speaker 1: to do. California already kicked it to May sixteenth from April, 15 00:00:52,200 --> 00:00:56,000 Speaker 1: but now they're calling on the state to also line 16 00:00:56,080 --> 00:00:58,800 Speaker 1: up with the Fed tax deadline, yeah, and swing it 17 00:00:58,920 --> 00:01:01,320 Speaker 1: all the way back to October. Yeah. Huge difference though, 18 00:01:01,480 --> 00:01:05,400 Speaker 1: because the federal government can just keep borrowing and printing 19 00:01:05,440 --> 00:01:09,960 Speaker 1: money and the state government, if they've got a big deficit, 20 00:01:10,600 --> 00:01:13,800 Speaker 1: they can't fill it with borrowed and printed money, you know. 21 00:01:13,840 --> 00:01:16,800 Speaker 1: They need the tax revenue coming in, right. I mean 22 00:01:16,840 --> 00:01:19,520 Speaker 1: you could argue that, what about they have to pay 23 00:01:19,560 --> 00:01:22,040 Speaker 1: refunds too, But you see that's not going to slow 24 00:01:22,040 --> 00:01:23,959 Speaker 1: down the refund people. They're gonna get the return in 25 00:01:24,040 --> 00:01:25,880 Speaker 1: as soon as they can. It's the people that own 26 00:01:25,920 --> 00:01:28,200 Speaker 1: money they're gonna wait until example. Right, Yeah, if you've 27 00:01:28,200 --> 00:01:31,960 Speaker 1: got a big refund coming, you already filed you taxes. Yeah, 28 00:01:32,000 --> 00:01:35,080 Speaker 1: some people don't know. I always find that out. I 29 00:01:35,160 --> 00:01:37,559 Speaker 1: don't know. It's it's a big mystery. I'll just file 30 00:01:37,640 --> 00:01:40,160 Speaker 1: my taxes and see maybe I'll get money back. Maybe 31 00:01:40,200 --> 00:01:44,120 Speaker 1: I won't. You know, what, why why can't we have 32 00:01:44,160 --> 00:01:48,800 Speaker 1: a simple society? We're simple society, a simple society where 33 00:01:48,960 --> 00:01:51,400 Speaker 1: let's just I'm gonna pick out a number. All right, 34 00:01:51,800 --> 00:01:55,880 Speaker 1: Let's just say I make one hundred thousand dollars and 35 00:01:55,920 --> 00:01:59,880 Speaker 1: then I've got to pay twenty percent in taxes. Right 36 00:02:00,040 --> 00:02:01,960 Speaker 1: and if this is an old idea, but I don't 37 00:02:02,040 --> 00:02:04,720 Speaker 1: understand why we can't have this. You just fill out 38 00:02:04,720 --> 00:02:08,240 Speaker 1: a postcard. I made a hundred thousand dollars right here. 39 00:02:08,360 --> 00:02:11,200 Speaker 1: Because we have the government and we have lobbyists, well, 40 00:02:11,600 --> 00:02:13,920 Speaker 1: and the lobbyists get in there with all sorts of 41 00:02:13,919 --> 00:02:16,440 Speaker 1: ways that they can help get their taxes reduced for 42 00:02:16,639 --> 00:02:19,480 Speaker 1: whatever their clients are doing. You know, no more deductions, 43 00:02:20,400 --> 00:02:23,600 Speaker 1: no more nothing, and you can tear it based on income. Right, 44 00:02:24,080 --> 00:02:26,840 Speaker 1: so you can make a higher tax brad, a medium 45 00:02:26,840 --> 00:02:29,320 Speaker 1: tax bracket, a low tax bracket. You can. You can 46 00:02:29,400 --> 00:02:32,440 Speaker 1: still do all that stuff. But it's just one percentage number, 47 00:02:32,800 --> 00:02:36,120 Speaker 1: no deductions, no games. Plus they always they thought, then 48 00:02:36,160 --> 00:02:39,800 Speaker 1: they can incentivize business that they're build more and do 49 00:02:39,880 --> 00:02:42,360 Speaker 1: more if they give it credits and give you not 50 00:02:42,600 --> 00:02:46,679 Speaker 1: their business, but they think that's helping the economy grow. Well, 51 00:02:46,720 --> 00:02:50,320 Speaker 1: that doesn't matter what they think. Let everybody live their life. 52 00:02:51,520 --> 00:02:54,359 Speaker 1: People are gonna do what's in their best interest. Business 53 00:02:54,360 --> 00:02:57,160 Speaker 1: will do what's in their best interest. We don't need 54 00:02:57,560 --> 00:03:03,160 Speaker 1: suggestions and incentives and punishments from from those morons in government. 55 00:03:03,480 --> 00:03:07,200 Speaker 1: All right. They're the least talented and least intelligent among us. 56 00:03:07,440 --> 00:03:10,320 Speaker 1: So why are we listening to their incentives and dealing 57 00:03:10,320 --> 00:03:14,360 Speaker 1: with their punishments? All right? Now we move over to 58 00:03:14,440 --> 00:03:17,760 Speaker 1: the story you had to be expecting. After the latest 59 00:03:17,840 --> 00:03:21,840 Speaker 1: rain and snow, does anyone ever guess is the drought 60 00:03:21,919 --> 00:03:27,560 Speaker 1: over the Elsa Gundo times just ran a Fresh story 61 00:03:27,639 --> 00:03:31,600 Speaker 1: by Hailey Smith. The remarkably wet winter has helped east 62 00:03:31,639 --> 00:03:36,960 Speaker 1: drought conditions considerably. Large swaths of the state no longer 63 00:03:37,040 --> 00:03:42,400 Speaker 1: considered to be in drought conduct. We needed a news 64 00:03:42,400 --> 00:03:46,720 Speaker 1: report on that. Yes, thanks for that. Yeah. Tell the 65 00:03:46,800 --> 00:03:49,800 Speaker 1: people in Lake our Head that the drought is over. 66 00:03:51,040 --> 00:03:54,000 Speaker 1: They're they're laying under eight feet of snow. It might 67 00:03:54,040 --> 00:03:56,480 Speaker 1: surprise you that only seventeen percent of the state has 68 00:03:56,480 --> 00:04:02,080 Speaker 1: exited drought conditions completely. They're four percent. They're classified as 69 00:04:02,200 --> 00:04:05,280 Speaker 1: abnormally dry. Still, you have to take a look at 70 00:04:05,280 --> 00:04:08,840 Speaker 1: the map to kind of understand this. It's places that well, 71 00:04:08,880 --> 00:04:11,320 Speaker 1: they're very inland or far north. Don't you think this 72 00:04:11,400 --> 00:04:16,360 Speaker 1: is a pile of bullpoo, a pile of bull seriously, 73 00:04:16,839 --> 00:04:21,839 Speaker 1: that we're still abnormally dry. No, we're not. Well, you 74 00:04:21,880 --> 00:04:24,560 Speaker 1: see though, it's snows and rains more in certain places 75 00:04:24,600 --> 00:04:26,760 Speaker 1: like the mountain areas, and obviously that's not what I'm 76 00:04:26,760 --> 00:04:29,400 Speaker 1: talking about, but far up north where you kind of 77 00:04:29,400 --> 00:04:31,800 Speaker 1: have that valley and somewhere in the middle of the 78 00:04:31,800 --> 00:04:34,880 Speaker 1: state to the valley farm country, not as much rain 79 00:04:34,960 --> 00:04:37,560 Speaker 1: or snow fell there, and there's there's nothing, there's nothing 80 00:04:37,600 --> 00:04:40,680 Speaker 1: anybody can do about it. I find this constant monitoring 81 00:04:40,760 --> 00:04:44,360 Speaker 1: of something that's beyond all our control just to be tiresome. 82 00:04:45,040 --> 00:04:47,760 Speaker 1: Just live your life. If it rains, it rains. If 83 00:04:47,760 --> 00:04:49,760 Speaker 1: it doesn't rain, it doesn't rain, You're not You're not 84 00:04:49,800 --> 00:04:52,400 Speaker 1: gonna You're not gonna make it rain more or less. 85 00:04:52,400 --> 00:04:55,240 Speaker 1: There's nothing we can do about it. It's constant harping. 86 00:04:55,240 --> 00:04:57,920 Speaker 1: It's like we're in a drop situation. Said, what will so? Why? 87 00:04:58,080 --> 00:05:03,280 Speaker 1: What do you want me to do? Nine atmospheric river 88 00:05:03,400 --> 00:05:08,320 Speaker 1: storms hit California in January. That's gotta be like a 89 00:05:08,680 --> 00:05:14,800 Speaker 1: new record. As for the latest snowpack. Oh and by 90 00:05:14,839 --> 00:05:16,520 Speaker 1: the way, it's very exciting. Tomorrow they go out with 91 00:05:16,640 --> 00:05:18,960 Speaker 1: their their big like yard sticks and they're gonna measure 92 00:05:19,000 --> 00:05:20,560 Speaker 1: the snowpack. They do it like this will be the 93 00:05:20,640 --> 00:05:23,720 Speaker 1: third time they actually the state water officials walk out 94 00:05:23,800 --> 00:05:26,480 Speaker 1: there and they stick a big stick in the snow. 95 00:05:26,560 --> 00:05:29,640 Speaker 1: Well I heard in Sierra Neva is the snowstick is 96 00:05:29,680 --> 00:05:33,520 Speaker 1: going to be three miles the wow, Yeah, that's that's 97 00:05:33,560 --> 00:05:36,760 Speaker 1: a hell of a snowpack three miles high? Now wow? 98 00:05:37,000 --> 00:05:40,920 Speaker 1: Can you use that for a COVID test? It actually 99 00:05:41,000 --> 00:05:44,960 Speaker 1: reaches into space? Well, you mentioned Sierra This in the 100 00:05:45,040 --> 00:05:47,840 Speaker 1: southern Sierra, the snowpack is two hundred and thirty two 101 00:05:47,880 --> 00:05:51,599 Speaker 1: percent of normal. Okay, that's enough. Statewide, we're one hundred 102 00:05:51,640 --> 00:05:53,800 Speaker 1: and ninety two percent of normal. Right, no more draft. 103 00:05:53,880 --> 00:05:57,119 Speaker 1: Then Yosemite Valley broke a fifty four year old daily 104 00:05:57,240 --> 00:06:01,240 Speaker 1: record for snowfall. Forty inches fell. They had a mark 105 00:06:01,320 --> 00:06:03,960 Speaker 1: that was set in nineteen sixty. As much as fifteen 106 00:06:04,040 --> 00:06:05,880 Speaker 1: feet fell in some parts of the park over the 107 00:06:05,960 --> 00:06:09,400 Speaker 1: course of the storm. I read in one story yesterday, 108 00:06:09,400 --> 00:06:12,560 Speaker 1: I think it was the Times they worried that it 109 00:06:12,839 --> 00:06:15,560 Speaker 1: was we were going to keep having cold weather. It 110 00:06:15,760 --> 00:06:18,800 Speaker 1: was a record stretcher cold, and then but there could 111 00:06:18,800 --> 00:06:23,040 Speaker 1: be some warming, which means that we could have too 112 00:06:23,160 --> 00:06:26,800 Speaker 1: much snow melt, which isn't good because of the drought. 113 00:06:27,200 --> 00:06:30,720 Speaker 1: And then they Times story where they just obsess over everything. 114 00:06:31,240 --> 00:06:36,680 Speaker 1: But they had four different obsessions in one story, and 115 00:06:37,720 --> 00:06:40,960 Speaker 1: the obsessions contradicted one another, like it might be too cold, 116 00:06:41,200 --> 00:06:43,120 Speaker 1: but then it might be getting warm, and then we've 117 00:06:43,120 --> 00:06:45,760 Speaker 1: got the dropt but then the stone may melt and 118 00:06:45,920 --> 00:06:48,080 Speaker 1: we'll end up with floods. It's like we'll have drought, 119 00:06:48,160 --> 00:06:50,680 Speaker 1: we'll have floods, it'll get too warm. Well, it's been 120 00:06:50,760 --> 00:06:53,880 Speaker 1: too cold. It's like it was I was getting whiplash. 121 00:06:53,960 --> 00:06:55,840 Speaker 1: I couldn't believe this. I kept I read it like 122 00:06:56,160 --> 00:06:58,200 Speaker 1: two three times the story because I can't staying away. 123 00:06:58,320 --> 00:06:59,920 Speaker 1: Say they're over here, they're over here, They're over here, 124 00:07:00,000 --> 00:07:05,760 Speaker 1: are over here, Lake Oreville. It's sixty percent and seventy 125 00:07:05,839 --> 00:07:08,160 Speaker 1: three percent of capacity. That's more than double where they 126 00:07:08,200 --> 00:07:13,600 Speaker 1: were just two months ago. And again, whatever this is worth. 127 00:07:13,840 --> 00:07:16,720 Speaker 1: They think we could have some rain, maybe not significantly 128 00:07:16,800 --> 00:07:20,880 Speaker 1: big storms throughout March. We don't know that because after 129 00:07:20,960 --> 00:07:23,000 Speaker 1: we got all we got in December and early January, 130 00:07:23,040 --> 00:07:25,160 Speaker 1: it stopped for a while until the last couple of weeks. 131 00:07:25,200 --> 00:07:27,760 Speaker 1: So you're right, a lot of this is out of 132 00:07:27,840 --> 00:07:30,320 Speaker 1: our control, and we really want to stop obsessing on it. 133 00:07:30,520 --> 00:07:32,800 Speaker 1: And of course The Times finishes their story by saying, 134 00:07:33,080 --> 00:07:36,560 Speaker 1: but the Colorado River is still perilously low. Oh, the 135 00:07:36,640 --> 00:07:40,360 Speaker 1: American Southwest is still having big droughts. At the end 136 00:07:40,480 --> 00:07:43,119 Speaker 1: of that article where it was too hot, too cold, 137 00:07:43,240 --> 00:07:46,400 Speaker 1: too wet, too dry. Yeah, their go to at the 138 00:07:46,520 --> 00:07:49,360 Speaker 1: end is always the Colorado River. It's like, wow, that 139 00:07:49,560 --> 00:07:52,720 Speaker 1: that's still low because they haven't gotten the rain, you know, 140 00:07:52,840 --> 00:07:54,640 Speaker 1: in the in the northern parts of the country that 141 00:07:54,760 --> 00:07:57,680 Speaker 1: feed the river, and after they get a lot of rain, 142 00:07:57,760 --> 00:08:03,000 Speaker 1: they'll move on to some other river east of that. Okay, 143 00:08:03,200 --> 00:08:05,080 Speaker 1: So I gotta I gotta worry about I gotta worry 144 00:08:05,080 --> 00:08:07,720 Speaker 1: about the drought. I gotta worry that it's too cold. 145 00:08:07,960 --> 00:08:10,240 Speaker 1: I gotta worry that the warming temperatures are gonna methold 146 00:08:10,360 --> 00:08:12,440 Speaker 1: melt the snow too quickly that it's gonna flood. But 147 00:08:12,520 --> 00:08:14,320 Speaker 1: even though it's gonna flood, you gotta worry that the 148 00:08:14,400 --> 00:08:18,000 Speaker 1: Colorado River is too low. And I'm reading this and thinking, one, 149 00:08:18,120 --> 00:08:20,640 Speaker 1: they got a pipeline, you know, to catch the snow 150 00:08:20,680 --> 00:08:22,760 Speaker 1: melt and direct it into the Colorado River, and that'll 151 00:08:22,800 --> 00:08:26,760 Speaker 1: kind of balance everything out, wouldn't it. We got more 152 00:08:26,880 --> 00:08:29,280 Speaker 1: coming up, believe it or not. Coming up next, it's 153 00:08:29,320 --> 00:08:32,000 Speaker 1: been a while. We're gonna check in on the Crazy Train, 154 00:08:32,240 --> 00:08:35,959 Speaker 1: California's high speed rail. New report has come out. It's 155 00:08:36,000 --> 00:08:37,880 Speaker 1: not good news, but it never is. John and Ken 156 00:08:38,000 --> 00:08:40,520 Speaker 1: kf I AM six forty Live everywhere the Eye Guard Radio. 157 00:08:41,360 --> 00:08:44,520 Speaker 1: You're listening to John and Ken on demand from kf 158 00:08:44,679 --> 00:08:49,240 Speaker 1: I AM six forty two thousand and eight. Ballot Measure 159 00:08:49,360 --> 00:08:53,000 Speaker 1: ten billion dollars for high speed rail. We pleaded with 160 00:08:53,120 --> 00:08:58,240 Speaker 1: our listeners, vote no, vote no. Here we are fifteen 161 00:08:58,360 --> 00:09:02,559 Speaker 1: years later, fifteen they'll talk talking about what is essentially nothing. Yes, 162 00:09:02,840 --> 00:09:05,120 Speaker 1: we're still trying to get this initial segment build in 163 00:09:05,160 --> 00:09:08,240 Speaker 1: the San Ponkine Valley, which is really a nothing. We're 164 00:09:08,240 --> 00:09:11,360 Speaker 1: said to Bakersfield, right, I can't even believe. I mean, 165 00:09:11,480 --> 00:09:13,000 Speaker 1: if you had told me ten years ago we'll be 166 00:09:13,080 --> 00:09:16,560 Speaker 1: talking about this little thing that they don't have enough 167 00:09:16,600 --> 00:09:19,160 Speaker 1: money even to build this little thing. They don't. They 168 00:09:19,280 --> 00:09:23,640 Speaker 1: can't even go from Merset to Bakersfield. After fifteen years 169 00:09:24,040 --> 00:09:29,079 Speaker 1: and billions of dollars billions not cost estimate for that 170 00:09:29,280 --> 00:09:34,880 Speaker 1: one segment is now thirty five billion dollars. Again, that's 171 00:09:34,920 --> 00:09:37,080 Speaker 1: a ten billion dollar bond measure that was passed. That's 172 00:09:37,120 --> 00:09:41,240 Speaker 1: all there is. When they first fooled you people to 173 00:09:41,360 --> 00:09:44,719 Speaker 1: vote for the High Speed Rail Act, they claimed that 174 00:09:44,840 --> 00:09:47,760 Speaker 1: they were going to go from Sacramento to San Francisco, 175 00:09:48,280 --> 00:09:52,440 Speaker 1: to Los Angeles, to Anaheim to San Diego, all that way, 176 00:09:52,679 --> 00:09:57,040 Speaker 1: the whole thing for thirty three million, now thirty five million, 177 00:09:57,400 --> 00:10:01,679 Speaker 1: maybe get you Bakersfield to Mersset. Just the other day, 178 00:10:01,720 --> 00:10:04,680 Speaker 1: the federal government rejected an application from a high speed 179 00:10:04,800 --> 00:10:08,240 Speaker 1: rail for a one point two billion in grants. Rejected 180 00:10:08,600 --> 00:10:13,040 Speaker 1: because even the Biden administration knows this is a big, 181 00:10:13,520 --> 00:10:18,720 Speaker 1: big waste. This is a black hole, it's a sewer. Yeah, 182 00:10:18,960 --> 00:10:21,080 Speaker 1: because because why why are they going to waste federal 183 00:10:21,160 --> 00:10:25,640 Speaker 1: money on something that is never going to be built 184 00:10:25,679 --> 00:10:28,800 Speaker 1: and it's never going to be useful. The project's CFO 185 00:10:28,920 --> 00:10:31,959 Speaker 1: with his name is Brian Anis, but I changed it 186 00:10:32,080 --> 00:10:37,800 Speaker 1: it's Annis Annis. He says, we want federal money, we 187 00:10:37,920 --> 00:10:40,800 Speaker 1: have to have federal money. Well, in the latest round, 188 00:10:40,920 --> 00:10:43,400 Speaker 1: you've been rejected. So let me let me guess joke again. 189 00:10:43,480 --> 00:10:45,680 Speaker 1: This stretch is only one hundred and seventy one miles 190 00:10:45,920 --> 00:10:49,280 Speaker 1: that they're trying to construct Bakersfield, Timer said Davindusham can't 191 00:10:49,280 --> 00:10:52,920 Speaker 1: get Joe Biden to cough up a billion dollars? Is 192 00:10:52,960 --> 00:10:57,600 Speaker 1: that amazing? This press release I'm looking at also says 193 00:10:57,679 --> 00:11:01,240 Speaker 1: that recent estimates indicate the high speed rail the way 194 00:11:01,280 --> 00:11:03,199 Speaker 1: it is right now, will cost two hundred and six 195 00:11:03,240 --> 00:11:07,959 Speaker 1: point four million dollars per mile. Just chew on that 196 00:11:08,120 --> 00:11:15,880 Speaker 1: number for a moment. Six million dollars a mile. I 197 00:11:16,120 --> 00:11:19,079 Speaker 1: saw in a news story in cal Matters, the secret 198 00:11:19,120 --> 00:11:25,640 Speaker 1: to this, Oh, the secret to this is Schwarzenegger and 199 00:11:25,720 --> 00:11:29,760 Speaker 1: Jerry Brown were enthusiastic supporters, according to this story, but 200 00:11:29,880 --> 00:11:33,640 Speaker 1: when Gavin Newsom became governor, he was openly skeptical. And 201 00:11:33,720 --> 00:11:37,440 Speaker 1: they quote Newsom, the project is currently planned would cost 202 00:11:37,480 --> 00:11:39,280 Speaker 1: too much and take too long, he said as he 203 00:11:39,360 --> 00:11:42,800 Speaker 1: took office. There's been too little oversight and not enough transparency. 204 00:11:43,200 --> 00:11:45,320 Speaker 1: Right now, there simply isn't a path to get from 205 00:11:45,360 --> 00:11:48,520 Speaker 1: Sacramento to San Diego, let alone in San Francisco to 206 00:11:48,720 --> 00:11:52,120 Speaker 1: La I wish there were. And what happened is the 207 00:11:52,240 --> 00:11:56,360 Speaker 1: construction unions started putting on high pressure a Newsom and 208 00:11:56,440 --> 00:12:01,520 Speaker 1: other Democrats to continue the construction. They wanted the money, 209 00:12:01,679 --> 00:12:04,920 Speaker 1: they wanted the fake jobs. But maybe totally there's been 210 00:12:05,000 --> 00:12:08,400 Speaker 1: ten thousand jobs at least they're claiming, yeah, well, I 211 00:12:08,520 --> 00:12:11,439 Speaker 1: want to see that. That's like Garsetti claiming that thousands 212 00:12:11,480 --> 00:12:14,120 Speaker 1: of homeless are taken off the streets. There certainly aren't 213 00:12:14,120 --> 00:12:15,839 Speaker 1: the results that you would think there would be for 214 00:12:15,960 --> 00:12:18,520 Speaker 1: ten thousand jobs. I mean, they put up barely anything 215 00:12:18,600 --> 00:12:23,520 Speaker 1: in the in the Central Valley. Cow Matters notes this 216 00:12:23,679 --> 00:12:28,240 Speaker 1: ten thousand jobs number and the high speed Rail Authority says, 217 00:12:28,360 --> 00:12:31,559 Speaker 1: it is a comprehensive count of all construction jobs that 218 00:12:31,720 --> 00:12:34,720 Speaker 1: have been employed by this project. This takes into account 219 00:12:34,800 --> 00:12:37,760 Speaker 1: laborers who have worked with one or more subcontractors and 220 00:12:37,920 --> 00:12:41,640 Speaker 1: held one or more jobs, averaging nearly one hundred days 221 00:12:41,760 --> 00:12:44,599 Speaker 1: on the job sites. Oh I see, so if you 222 00:12:44,720 --> 00:12:47,719 Speaker 1: work for one hundred days, Yeah, that's not even a 223 00:12:47,800 --> 00:12:52,200 Speaker 1: third of the year. That's not really that's part time work. 224 00:12:52,400 --> 00:12:56,079 Speaker 1: That's that's not one hundred days total maybe over the 225 00:12:56,160 --> 00:13:02,079 Speaker 1: fifteen years. Oh yeah, yeah, it's it's total nonsense. The 226 00:13:02,320 --> 00:13:05,720 Speaker 1: unions donate enormous amounts of money to the Democrats. Everybody 227 00:13:05,800 --> 00:13:09,439 Speaker 1: knows the Democrats are largely controlled by various unions, and 228 00:13:10,080 --> 00:13:12,280 Speaker 1: this is just another set of them. And so they 229 00:13:12,360 --> 00:13:16,000 Speaker 1: got their way, and somebody sat Newsom down because he 230 00:13:16,080 --> 00:13:17,920 Speaker 1: was just taking over as governor and says, Gavin, he 231 00:13:17,960 --> 00:13:20,560 Speaker 1: can't do this. We can't piss off the union guys. 232 00:13:21,240 --> 00:13:24,880 Speaker 1: And so the boomdoggroll continues into year fifteen with nothing built, 233 00:13:25,720 --> 00:13:28,719 Speaker 1: and let's review this one more time. Nine point nine 234 00:13:28,840 --> 00:13:32,000 Speaker 1: five billion was the original bond measure that passed by 235 00:13:32,040 --> 00:13:34,760 Speaker 1: the voters in two thousand and eight. That was it. 236 00:13:35,720 --> 00:13:37,319 Speaker 1: So they said, oh well, you know, we'll get the 237 00:13:37,360 --> 00:13:39,280 Speaker 1: rest of the federal government and then we'll get money 238 00:13:39,360 --> 00:13:42,079 Speaker 1: from private investors, private investors. But they got a few 239 00:13:42,200 --> 00:13:45,559 Speaker 1: billion out of I think it was the Obama administration, 240 00:13:46,600 --> 00:13:49,560 Speaker 1: and then that was it. Yeah, Trump shut that off, 241 00:13:49,640 --> 00:13:52,480 Speaker 1: and now Biden is not interested, No, not going to 242 00:13:52,520 --> 00:13:55,160 Speaker 1: give another billion dollars. And there has not been a penny. 243 00:13:55,600 --> 00:14:02,040 Speaker 1: Imagine all the private investors in the world. Nobody stepped forward, nobody. 244 00:14:03,640 --> 00:14:06,040 Speaker 1: I mean, how many trillions of dollars passes through the 245 00:14:06,240 --> 00:14:09,920 Speaker 1: stock market and the bond market. How many investments are 246 00:14:09,960 --> 00:14:15,120 Speaker 1: made by all these private equity firms, and yet nobody's 247 00:14:15,160 --> 00:14:19,160 Speaker 1: offered a penny. Nobody wants a piece of this action. 248 00:14:19,360 --> 00:14:23,080 Speaker 1: How could that be? So now it's thirty three billion 249 00:14:23,160 --> 00:14:25,760 Speaker 1: just for this one pathetic segment. Yeah, by one hundred 250 00:14:25,800 --> 00:14:27,760 Speaker 1: and seventy one miles. Remember the original bond measure ten 251 00:14:27,800 --> 00:14:30,040 Speaker 1: billion plus, you know, billions more they get from the Feds. 252 00:14:30,320 --> 00:14:31,920 Speaker 1: They were trying to throw out a number of thirty 253 00:14:31,960 --> 00:14:34,880 Speaker 1: three billion to do the whole state. Now they can't 254 00:14:34,880 --> 00:14:37,880 Speaker 1: even do this one segment, and their cost estimates are 255 00:14:37,920 --> 00:14:40,000 Speaker 1: way off anyway, But we'll just go with them for now, 256 00:14:40,320 --> 00:14:43,560 Speaker 1: twenty two billion so projecting that out, they think that 257 00:14:43,720 --> 00:14:45,760 Speaker 1: to build the whole statewide system it's going to cost 258 00:14:45,840 --> 00:14:49,640 Speaker 1: over eighty billion dollars. They are absolutely out of their 259 00:14:49,680 --> 00:14:52,880 Speaker 1: minds streaming. But there's like no way to kill this. No, 260 00:14:53,160 --> 00:14:57,160 Speaker 1: because if the governor is corrupted and the legislature is 261 00:14:57,200 --> 00:15:02,320 Speaker 1: corrupted by union money, and people don't want to vote 262 00:15:02,440 --> 00:15:05,920 Speaker 1: these bastards out. I know some of the legislature are 263 00:15:05,960 --> 00:15:09,840 Speaker 1: basically criminals. They're taking bribes, they're taking campaign contributions from 264 00:15:09,840 --> 00:15:13,280 Speaker 1: these construction unions, and in turn are they're directing billions 265 00:15:13,320 --> 00:15:18,360 Speaker 1: of dollars to them for no show jobs, make work jobs, 266 00:15:18,720 --> 00:15:21,200 Speaker 1: show up a hundred days and ten years, and we'll 267 00:15:21,280 --> 00:15:24,800 Speaker 1: count it as a job. In the press release last 268 00:15:24,840 --> 00:15:27,200 Speaker 1: time we checked, a couple of legislators wanted to just 269 00:15:27,400 --> 00:15:30,680 Speaker 1: steal money for other rail projects, saying that this is 270 00:15:30,800 --> 00:15:33,080 Speaker 1: not going to come together, so we might as well 271 00:15:33,200 --> 00:15:36,560 Speaker 1: use some of the ten billion on local rail projects 272 00:15:36,720 --> 00:15:39,160 Speaker 1: rather than I'll sink it all into this mess. I 273 00:15:39,320 --> 00:15:43,280 Speaker 1: think if Newsom wasn't bought off by the corrupt unions, 274 00:15:43,800 --> 00:15:46,800 Speaker 1: he would signal the legislature go ahead, steal the money. 275 00:15:47,080 --> 00:15:51,160 Speaker 1: Let's end this. Because a lot of the Democratic legislators 276 00:15:51,320 --> 00:15:55,120 Speaker 1: know that this is a waste. So yeah, they'd like 277 00:15:55,280 --> 00:15:57,880 Speaker 1: the money spent on their local projects, which might be 278 00:15:58,040 --> 00:16:03,280 Speaker 1: more useful, right, but they can't because the governor is 279 00:16:03,320 --> 00:16:07,600 Speaker 1: owned by the unions, and you know the union goons 280 00:16:07,720 --> 00:16:13,320 Speaker 1: that run these organizations, they're absolutely corrupt. All right. When 281 00:16:13,400 --> 00:16:17,280 Speaker 1: we come back, we played some pretty tough to listen 282 00:16:17,320 --> 00:16:20,280 Speaker 1: to audio from a mother who lost two sons to 283 00:16:20,440 --> 00:16:24,520 Speaker 1: a fentnyl overdose. She was testifying before Congress. Her message 284 00:16:24,640 --> 00:16:28,160 Speaker 1: was do something. Particularly, she was saying the open border 285 00:16:28,200 --> 00:16:31,040 Speaker 1: with Mexico where all the drugs are smuggled in Again, 286 00:16:31,360 --> 00:16:34,120 Speaker 1: components are made in China, gets to Mexico and then 287 00:16:34,160 --> 00:16:36,920 Speaker 1: it's finished, and then it's brought into the US, tons 288 00:16:37,000 --> 00:16:40,480 Speaker 1: and tons of fentnyl. And sometimes young people think they're 289 00:16:40,520 --> 00:16:42,600 Speaker 1: buying oxy code own and they get something laced with 290 00:16:42,680 --> 00:16:45,560 Speaker 1: fentnyl and they od and they die. So that was 291 00:16:45,600 --> 00:16:49,440 Speaker 1: her plea. Well, there was a response of sorts from 292 00:16:49,800 --> 00:16:52,960 Speaker 1: old dementia Joe Biden. We'll talk about it coming up. 293 00:16:53,040 --> 00:16:56,200 Speaker 1: John and Ken kf I AM six forty Live everywhere 294 00:16:56,280 --> 00:17:00,480 Speaker 1: the iHeartRadio app. You're listening to John and Ken on 295 00:17:00,680 --> 00:17:06,440 Speaker 1: demand from KFI AM sixty. All right, we'll delve into 296 00:17:06,640 --> 00:17:11,040 Speaker 1: the origins of the coronavirus, the lab leak theory versus, 297 00:17:11,080 --> 00:17:16,399 Speaker 1: of course, natural passing from animal to human which started 298 00:17:16,480 --> 00:17:20,240 Speaker 1: COVID nineteen. After three o'clock will be joined by Brad 299 00:17:20,320 --> 00:17:23,000 Speaker 1: Garrett ABC News for an in depth look at this, 300 00:17:23,160 --> 00:17:25,600 Speaker 1: particularly with the story this week that the Energy Department 301 00:17:26,160 --> 00:17:29,879 Speaker 1: has concluded not strongly, but concluded it probably was some 302 00:17:30,000 --> 00:17:33,920 Speaker 1: sort of laboratory leak, and other government agencies are going 303 00:17:34,000 --> 00:17:37,399 Speaker 1: with the more natural passage from animal to human theory. 304 00:17:38,200 --> 00:17:42,679 Speaker 1: The other day we played some pretty heart rendering audio 305 00:17:43,560 --> 00:17:46,159 Speaker 1: from a Michigan woman by the name of Rebecca Kissling 306 00:17:46,840 --> 00:17:51,320 Speaker 1: who two sons, Caleb and Kyler, died in July of 307 00:17:51,440 --> 00:17:56,080 Speaker 1: twenty twenty after they took what was percocet pills, but 308 00:17:56,280 --> 00:18:00,160 Speaker 1: it was lace with fetnel and they both died from 309 00:18:00,160 --> 00:18:04,920 Speaker 1: the fentnyl poisoning. She testified before Congress to try to 310 00:18:05,040 --> 00:18:06,840 Speaker 1: make the case that we need to do more to 311 00:18:06,960 --> 00:18:09,680 Speaker 1: keep fentnyl out of the United States. Most of it 312 00:18:09,800 --> 00:18:14,320 Speaker 1: comes over the border from Mexico by various means. The 313 00:18:14,440 --> 00:18:18,400 Speaker 1: pills are often begun in China the components and then 314 00:18:18,440 --> 00:18:22,240 Speaker 1: everything is put together in Mexico and smuggled across the 315 00:18:22,320 --> 00:18:27,159 Speaker 1: border for great profits. So the update on this story 316 00:18:27,720 --> 00:18:33,959 Speaker 1: is that apparently the wacky Georgia Congresswoman Marjorie Taylor Greene 317 00:18:34,920 --> 00:18:37,720 Speaker 1: seized on the story and began making a lot of 318 00:18:37,840 --> 00:18:41,920 Speaker 1: noise with it till it finally got a reaction from 319 00:18:41,960 --> 00:18:45,000 Speaker 1: old Joe Biden. Because basically, what Rebecca Kissling was saying 320 00:18:45,119 --> 00:18:49,000 Speaker 1: is that it's worse now than ever because this is 321 00:18:49,040 --> 00:18:51,880 Speaker 1: a very wide open border since this guy became president. 322 00:18:51,960 --> 00:18:54,200 Speaker 1: And I don't think anybody's doubting yet. If millions of 323 00:18:54,320 --> 00:18:57,000 Speaker 1: migrants can get into the United States, how hard is 324 00:18:57,040 --> 00:19:00,600 Speaker 1: it to get billions of fentnyl pills of the country. 325 00:19:01,520 --> 00:19:04,720 Speaker 1: So here is what Biden said when Marjorie Taylor green 326 00:19:04,880 --> 00:19:08,119 Speaker 1: was knocking him about the open border and the fentyl problem. 327 00:19:08,359 --> 00:19:11,520 Speaker 1: A little bit of more Marjorie Taylor green and a 328 00:19:11,600 --> 00:19:13,600 Speaker 1: few more, You're gonna have a lot of republics running 329 00:19:13,640 --> 00:19:30,560 Speaker 1: our way. Isn't she amazing ours The reason she was 330 00:19:30,640 --> 00:19:34,680 Speaker 1: she was very specific. I shouldn't aggress probably, I've read 331 00:19:35,600 --> 00:19:39,640 Speaker 1: she's very specific recently saying that a mom, a poor 332 00:19:39,680 --> 00:19:43,359 Speaker 1: mother who lost two kids to fentanyl, that that I 333 00:19:43,640 --> 00:19:49,000 Speaker 1: killed her songs. Well, the interesting thing is that fentanyl 334 00:19:49,040 --> 00:19:55,719 Speaker 1: they took came during the last administration. That chuckle at 335 00:19:55,800 --> 00:19:59,000 Speaker 1: the end that really got people because it's not something 336 00:19:59,040 --> 00:20:01,000 Speaker 1: to chuckle about. What he was trying to do is 337 00:20:01,080 --> 00:20:03,879 Speaker 1: lay it on the Trump administration from because it's happened 338 00:20:03,880 --> 00:20:07,080 Speaker 1: in July of twenty twenty. But that's not the point 339 00:20:07,200 --> 00:20:10,119 Speaker 1: that the mom was trying to make. It wasn't specifically 340 00:20:10,119 --> 00:20:12,400 Speaker 1: about the death of her two sons. It's the death 341 00:20:12,440 --> 00:20:16,040 Speaker 1: of all the people. And the numbers are growing tremendously 342 00:20:16,119 --> 00:20:18,600 Speaker 1: in the last couple of years, and that can only 343 00:20:18,720 --> 00:20:21,520 Speaker 1: be because the border isn't worse shape than it was. Well, yeah, 344 00:20:21,640 --> 00:20:24,720 Speaker 1: I mean, look at the enormous busts when they do 345 00:20:24,880 --> 00:20:26,920 Speaker 1: capture some of the fentonel and it's a fraction of 346 00:20:26,960 --> 00:20:29,520 Speaker 1: what's coming over the border. And I read an article 347 00:20:29,640 --> 00:20:33,480 Speaker 1: the other day is the fentanyl is almost entirely coming 348 00:20:33,520 --> 00:20:37,399 Speaker 1: over the Mexican border, and the ingredients are almost entirely 349 00:20:37,480 --> 00:20:40,800 Speaker 1: coming from China. The sad truth today, this is what 350 00:20:40,920 --> 00:20:44,240 Speaker 1: politicians do, and both parties do this. You know, he's 351 00:20:44,280 --> 00:20:46,359 Speaker 1: focusing on Marjorie Taylor Green because he knew it'd be 352 00:20:46,400 --> 00:20:48,960 Speaker 1: worth a chuckle from you know, as a Democrat loyalists 353 00:20:49,280 --> 00:20:51,280 Speaker 1: sitting there in the audience like a bunch of minions. 354 00:20:51,760 --> 00:20:54,240 Speaker 1: So we just offered that up. Yeah, you know something, 355 00:20:54,280 --> 00:20:56,719 Speaker 1: You're right, both sides do it because the Republicans are 356 00:20:56,760 --> 00:21:03,560 Speaker 1: constantly rattling about Alexandria Ocasio Cortez, right, and they get 357 00:21:03,600 --> 00:21:06,960 Speaker 1: their cheap laughs off that dingbat, and then the Democrats 358 00:21:07,320 --> 00:21:10,240 Speaker 1: get to get their laughs off the whack job Marjorie 359 00:21:10,280 --> 00:21:13,600 Speaker 1: Taylor Green. They're both the same person, they're both insane. 360 00:21:14,960 --> 00:21:19,160 Speaker 1: But you notice he doesn't take that forty five seconds 361 00:21:19,480 --> 00:21:21,560 Speaker 1: to say, you know what, We're gonna seal off the 362 00:21:21,640 --> 00:21:24,280 Speaker 1: border and we're gonna get the military down there, and 363 00:21:24,400 --> 00:21:27,720 Speaker 1: I don't want any more young kids dying at school 364 00:21:28,440 --> 00:21:31,359 Speaker 1: poison fentinel. That's what you want them to hear. That 365 00:21:31,480 --> 00:21:33,840 Speaker 1: we're gonna send down whatever we have to send down 366 00:21:34,000 --> 00:21:36,440 Speaker 1: and build whatever we have to build so there's no 367 00:21:36,560 --> 00:21:40,840 Speaker 1: more fentinel coming into this country from Mexico. That's what 368 00:21:40,960 --> 00:21:45,080 Speaker 1: everybody wants to hear. Instead, he turned it political. Oh yeah, 369 00:21:45,080 --> 00:21:47,280 Speaker 1: it's that nutball from George. I'll make fun of what 370 00:21:47,400 --> 00:21:49,400 Speaker 1: she said, because you know, Trump was president when these 371 00:21:49,480 --> 00:21:55,680 Speaker 1: kids died right, Yeah, I mean really apparently Kissling is 372 00:21:55,800 --> 00:22:00,159 Speaker 1: quite upset about this because again, her point was, it's 373 00:22:00,200 --> 00:22:02,960 Speaker 1: still happening, it's happening to more young people, and you 374 00:22:03,040 --> 00:22:05,760 Speaker 1: got to take action, like John just said, military action 375 00:22:05,800 --> 00:22:08,560 Speaker 1: if necessary, to seal off the flow of this kind 376 00:22:08,600 --> 00:22:11,320 Speaker 1: of drug into the country, because it is especially deadly 377 00:22:12,080 --> 00:22:14,840 Speaker 1: and especially easy for young people to think they're buying 378 00:22:14,920 --> 00:22:17,320 Speaker 1: some sort of opioid and they're getting something with all 379 00:22:17,359 --> 00:22:20,360 Speaker 1: sorts of fentanyl in it. And the fentanyl deaths are 380 00:22:20,440 --> 00:22:26,080 Speaker 1: seventy thousand plus approaching eighty thousand a year. I read that, 381 00:22:26,200 --> 00:22:27,440 Speaker 1: and I don't know whether or not this would do 382 00:22:27,480 --> 00:22:29,400 Speaker 1: any good because we're talking about young people and they're 383 00:22:29,400 --> 00:22:31,600 Speaker 1: buying a lot of these pills over social media. But 384 00:22:31,720 --> 00:22:34,119 Speaker 1: there are like little test kits where you get some 385 00:22:34,280 --> 00:22:36,720 Speaker 1: pills and you can see if there's fentanyl and no 386 00:22:36,960 --> 00:22:42,840 Speaker 1: not to take them. I mean that's just Yeah, they're teenagers, 387 00:22:43,000 --> 00:22:46,080 Speaker 1: their brains, they're so impulsive. You know, this stuff floats 388 00:22:46,119 --> 00:22:51,880 Speaker 1: around in the school hallways and the libraries, on buses. 389 00:22:52,840 --> 00:22:55,840 Speaker 1: I mean, it's a drug bizarre everywhere. Now with teenagers, 390 00:22:56,160 --> 00:22:59,760 Speaker 1: there's just a huge supply of everything. Kissling said, almost 391 00:22:59,760 --> 00:23:03,120 Speaker 1: every Democrat on that committee in Congress offered me condolences. 392 00:23:03,880 --> 00:23:06,400 Speaker 1: They had the decency to do that. Biden didn't even 393 00:23:06,440 --> 00:23:09,480 Speaker 1: do that. You have to mock my pain because you know, 394 00:23:09,560 --> 00:23:12,080 Speaker 1: he made the Trump jokes in president then when the 395 00:23:12,160 --> 00:23:14,960 Speaker 1: pills came in that killed their sons. So yeah, he's 396 00:23:15,000 --> 00:23:19,359 Speaker 1: a feeble old fool. And she admitted any administrations have 397 00:23:19,480 --> 00:23:23,960 Speaker 1: failed to properly address the drug in the fentinal crisis. Obviously, 398 00:23:24,359 --> 00:23:26,800 Speaker 1: if this was she was testifying in twenty twenty after 399 00:23:26,840 --> 00:23:28,600 Speaker 1: her son's died, she still would have said the same thing. 400 00:23:29,320 --> 00:23:33,840 Speaker 1: Why is it so hard for a person's brain to 401 00:23:34,040 --> 00:23:39,000 Speaker 1: focus that the issue is the fentinel killing teenagers and 402 00:23:39,280 --> 00:23:44,280 Speaker 1: not which political party is in power. It's that both 403 00:23:44,359 --> 00:23:49,520 Speaker 1: parties have failed for decades now at controlling the border 404 00:23:50,000 --> 00:23:53,000 Speaker 1: on purpose. They know what the issues are, they refuse 405 00:23:53,160 --> 00:23:57,240 Speaker 1: to and I suspect there's some you know, some deals 406 00:23:59,240 --> 00:24:02,920 Speaker 1: that they have to protect Mexican government. Not to criticize 407 00:24:02,960 --> 00:24:05,719 Speaker 1: the Chinese government. The Chinese government and the Mexican government 408 00:24:05,760 --> 00:24:10,080 Speaker 1: are conspiring together. They are this is their shipments out 409 00:24:10,119 --> 00:24:13,600 Speaker 1: of China, their policy to let all this stuff reach 410 00:24:13,680 --> 00:24:17,600 Speaker 1: the border in Mexico, and it's killing our kids, and 411 00:24:17,760 --> 00:24:20,560 Speaker 1: we stand around yelp at about Marjorie Taylor Green and 412 00:24:20,680 --> 00:24:24,800 Speaker 1: AOC and it's like, that's irrelevant. Kissling added this, what 413 00:24:24,880 --> 00:24:27,240 Speaker 1: about the twenty two percent increase in fetal death since 414 00:24:27,320 --> 00:24:30,840 Speaker 1: you became president, mister Biden, since you changed our policy 415 00:24:30,840 --> 00:24:33,399 Speaker 1: at the border? That right presents tens of thousands of 416 00:24:33,520 --> 00:24:36,480 Speaker 1: US citizens who died on your watch. You're gonna keep 417 00:24:36,600 --> 00:24:40,000 Speaker 1: laughing about those who died unto your watch? Do we 418 00:24:40,080 --> 00:24:41,520 Speaker 1: have to bring them in so you can look at 419 00:24:41,520 --> 00:24:44,080 Speaker 1: them in the eyes and laugh? What is wrong with you? 420 00:24:44,160 --> 00:24:46,840 Speaker 1: Apparently she put out a new statement after this Biden reaction. 421 00:24:47,040 --> 00:24:51,760 Speaker 1: It's a foolish old man who shouldn't be president's politics 422 00:24:51,800 --> 00:24:53,680 Speaker 1: almost all his life, this is how he deals with 423 00:24:53,720 --> 00:24:56,080 Speaker 1: the Particularly he was in front of that friendly I 424 00:24:56,119 --> 00:24:57,680 Speaker 1: don't know who those people were in the audience, but 425 00:24:57,760 --> 00:25:01,919 Speaker 1: they were clearly a Democrat loyalists, bunch of jackals who 426 00:25:02,080 --> 00:25:04,800 Speaker 1: laugh at any stupid joke as if it's targeted at 427 00:25:04,840 --> 00:25:08,200 Speaker 1: a Republican And you'll see there's there's a Republican conservative 428 00:25:08,240 --> 00:25:10,400 Speaker 1: conference coming up in a few days, and you'll see 429 00:25:10,440 --> 00:25:14,359 Speaker 1: the mirror image of that nonsense there. I know that's 430 00:25:14,440 --> 00:25:17,600 Speaker 1: why nothing gets done, and things only get worse because 431 00:25:17,640 --> 00:25:21,400 Speaker 1: it's all about our team. Our team is never wrong. 432 00:25:21,600 --> 00:25:23,679 Speaker 1: Your team has all the idiots, and here they are. 433 00:25:23,680 --> 00:25:26,040 Speaker 1: I'm going to mock them again with whatever they said, 434 00:25:26,119 --> 00:25:28,800 Speaker 1: their latest crazy thing. And you're right, both parties have 435 00:25:28,960 --> 00:25:33,120 Speaker 1: this collection. They got their mockable idiots. Yeah, the cartoon characters, 436 00:25:33,160 --> 00:25:36,800 Speaker 1: the punching bags, the pinata's easy cheap laugh too. You know, 437 00:25:36,880 --> 00:25:38,840 Speaker 1: you see it on all the TV shows too. On 438 00:25:39,000 --> 00:25:41,640 Speaker 1: an easy cheap laugh show. A picture of AOC show, 439 00:25:41,680 --> 00:25:45,320 Speaker 1: A picture of Marjorie Taylor Green. Obviously, those two women 440 00:25:45,359 --> 00:25:47,159 Speaker 1: are completely and the media loves to pick up on 441 00:25:47,280 --> 00:25:50,400 Speaker 1: these set they get highlighted. The right wing people think 442 00:25:50,440 --> 00:25:52,800 Speaker 1: Marjorie Taylor Green is some sort of heroine, so they 443 00:25:52,920 --> 00:25:55,240 Speaker 1: put our quotes up and then the left loves to 444 00:25:55,280 --> 00:25:58,560 Speaker 1: pick on it. No, she's she's a crazy lady from 445 00:25:58,600 --> 00:26:01,879 Speaker 1: what Georgia, Yes, in Georgia, Yeah so I mean, I mean, 446 00:26:01,960 --> 00:26:05,800 Speaker 1: she's she's like an inbread from one of those rural 447 00:26:05,960 --> 00:26:09,680 Speaker 1: sections of Georgia where crazy people vote for somebody like her. 448 00:26:11,080 --> 00:26:13,800 Speaker 1: And she's not she's a she's not a world leader, 449 00:26:13,960 --> 00:26:17,480 Speaker 1: she's not an influential anything. She just has a microphone. 450 00:26:17,520 --> 00:26:20,440 Speaker 1: It says stupid stuff into the microphone. I said, why 451 00:26:20,440 --> 00:26:23,280 Speaker 1: you do if you're painting her as representative of the 452 00:26:23,560 --> 00:26:25,920 Speaker 1: entire opposition party, that's what you're trying to do, that 453 00:26:26,040 --> 00:26:27,919 Speaker 1: your portrayal in front of the media when you make 454 00:26:27,960 --> 00:26:30,320 Speaker 1: cracks like that, right because, like you said, they use 455 00:26:30,359 --> 00:26:35,000 Speaker 1: AOC as supposedly representative of the entire opposing political party 456 00:26:35,800 --> 00:26:38,920 Speaker 1: when she's not. She does represent the pretty crazy wing 457 00:26:39,400 --> 00:26:41,000 Speaker 1: of the party right now. They have a lot of 458 00:26:41,040 --> 00:26:44,240 Speaker 1: control in the Biden administration. It seems, well, that's the thing. 459 00:26:44,600 --> 00:26:47,840 Speaker 1: The people who are setting the policies in the Biden 460 00:26:47,880 --> 00:26:53,800 Speaker 1: administration are completely unknown. Somebody in the Biden administration is 461 00:26:54,200 --> 00:26:58,520 Speaker 1: creating the policy that Biden approves of to keep the 462 00:26:58,600 --> 00:27:01,879 Speaker 1: border wide open. The fetnil can come pouring in and 463 00:27:02,119 --> 00:27:05,280 Speaker 1: kill all the teenagers in America, right somebody, but that 464 00:27:05,440 --> 00:27:08,520 Speaker 1: person is unnamed, but nobody makes a joke about them. 465 00:27:09,240 --> 00:27:12,560 Speaker 1: Nobody knows who they are. Nobody bothers to find out 466 00:27:12,640 --> 00:27:16,159 Speaker 1: who they are. All Right, we got more coming up. 467 00:27:16,200 --> 00:27:18,560 Speaker 1: It is the John and Ken Show kf I AM 468 00:27:18,600 --> 00:27:23,000 Speaker 1: six forty live everywhere the iHeartRadio app. You're listening to 469 00:27:23,160 --> 00:27:30,480 Speaker 1: John and Ken on demand from Kfix. Now we'll be 470 00:27:30,560 --> 00:27:34,240 Speaker 1: joined by Brad Garrett, ABC News analyst to talk about 471 00:27:35,000 --> 00:27:38,520 Speaker 1: COVID nineteen's origins. We had a report that came out 472 00:27:38,560 --> 00:27:41,240 Speaker 1: this week from the Department of Energy that they believe 473 00:27:41,320 --> 00:27:45,800 Speaker 1: it's possible likely that COVID started from a laboratory leak. 474 00:27:46,280 --> 00:27:50,000 Speaker 1: We of course have reports from other US agencies which 475 00:27:50,160 --> 00:27:53,960 Speaker 1: felt it came from some sort of creature animal origins 476 00:27:54,000 --> 00:27:57,640 Speaker 1: submultated to humans, except they haven't produced the animal right. 477 00:27:58,119 --> 00:28:01,840 Speaker 1: Neither side has produced the smoking gun. However, Well, I 478 00:28:02,760 --> 00:28:06,320 Speaker 1: what's interesting. I think Brad could address how they would 479 00:28:06,400 --> 00:28:09,200 Speaker 1: get information, which is what I wonder because all we 480 00:28:09,320 --> 00:28:11,960 Speaker 1: hear in the headlines as well, the Department of Energy says, 481 00:28:12,000 --> 00:28:15,880 Speaker 1: the FBI says, well, how did they get there? Well, 482 00:28:15,920 --> 00:28:17,840 Speaker 1: the FBI has to use its sources that they have 483 00:28:17,920 --> 00:28:20,879 Speaker 1: for the intelligence community. Who are the maybe to infiltrate 484 00:28:21,000 --> 00:28:23,920 Speaker 1: inside Chinese government. There's always people that will speak who 485 00:28:24,000 --> 00:28:27,520 Speaker 1: are the sources? What is the intelligence sources? Will be killed, 486 00:28:27,560 --> 00:28:29,720 Speaker 1: so you can't say who they are, they'll be killed. 487 00:28:29,960 --> 00:28:33,000 Speaker 1: But you could say that these are people who worked 488 00:28:33,000 --> 00:28:35,159 Speaker 1: at the Wuhan lamp for example. Oh, you don't even 489 00:28:35,200 --> 00:28:38,240 Speaker 1: want to get that specific well, there's no way to 490 00:28:38,320 --> 00:28:40,600 Speaker 1: trust this stuff or to say, hey, I think they've 491 00:28:40,640 --> 00:28:43,120 Speaker 1: got it right if you don't know where they got 492 00:28:43,160 --> 00:28:46,800 Speaker 1: the information from and what is the specific information. All right, well, 493 00:28:47,480 --> 00:28:50,560 Speaker 1: you're going to pose all these questions, accept nothing. You're 494 00:28:50,600 --> 00:28:56,160 Speaker 1: constantly being lied to believe nothing. Now, last week came 495 00:28:56,240 --> 00:28:59,320 Speaker 1: the news and it was a little confusing. The US 496 00:28:59,400 --> 00:29:04,400 Speaker 1: Senator I En Feinstein belong California Democratic senator, was not 497 00:29:04,440 --> 00:29:07,600 Speaker 1: going to run for reelection to twenty twenty four, but 498 00:29:08,600 --> 00:29:11,040 Speaker 1: felt that she was going to stay and finish her term. 499 00:29:11,560 --> 00:29:14,760 Speaker 1: That seems to be the consensus. When I said confusion, 500 00:29:14,840 --> 00:29:17,000 Speaker 1: it's because when Feinstein was approached later in the day, 501 00:29:17,120 --> 00:29:19,520 Speaker 1: she seemed to be unaware that her staff had sent 502 00:29:19,640 --> 00:29:23,000 Speaker 1: out the retirement announcement. We couldn't quite figure out whether 503 00:29:23,120 --> 00:29:25,840 Speaker 1: or not she even knew there was a retirement announcement, 504 00:29:26,000 --> 00:29:28,360 Speaker 1: or she was just confused as to the timing of 505 00:29:28,440 --> 00:29:31,920 Speaker 1: when it would be released. Well, news comes today that 506 00:29:32,080 --> 00:29:34,560 Speaker 1: she's back home in California and has missed a number 507 00:29:34,600 --> 00:29:38,200 Speaker 1: of sessions in Washington, DC in the Senate dealing with 508 00:29:38,840 --> 00:29:42,280 Speaker 1: a personal health issue. Well, we now know what it is. 509 00:29:43,160 --> 00:29:48,280 Speaker 1: She's got shingles. Oh yeah, she's been diagnosed with the 510 00:29:48,360 --> 00:29:51,680 Speaker 1: shingles virus, which cause can cause a painful rash. Does 511 00:29:51,720 --> 00:29:56,440 Speaker 1: she know she has shingles well, supposedly it was diagnosed 512 00:29:56,480 --> 00:30:00,680 Speaker 1: in February. Shingles does, of course develop an older adults 513 00:30:00,720 --> 00:30:03,920 Speaker 1: who had the chicken pox. There was a shingles vaccine. 514 00:30:03,920 --> 00:30:06,240 Speaker 1: I don't know if she took it. I did. Shingrex 515 00:30:06,520 --> 00:30:09,760 Speaker 1: is what it's called the main one, because I had 516 00:30:09,800 --> 00:30:12,240 Speaker 1: shingles twice. But we've talked about that story many times 517 00:30:12,840 --> 00:30:15,880 Speaker 1: and on nowhere near her age. So it's particularly tough 518 00:30:15,880 --> 00:30:19,560 Speaker 1: when you're into her. The Democrat Democrats are short two votes. 519 00:30:20,560 --> 00:30:23,400 Speaker 1: Oh right, Fetterman's not there. Betterman is still dealing with 520 00:30:23,520 --> 00:30:26,760 Speaker 1: his stroke and his depression, and she's dealing with the shingles, 521 00:30:26,960 --> 00:30:30,760 Speaker 1: So they only have forty nine people. She's missed a 522 00:30:30,920 --> 00:30:34,719 Speaker 1: dozen votes and two committee hearings since this began. They 523 00:30:34,880 --> 00:30:37,240 Speaker 1: finally announced that she hasn't been there, that she's been home, 524 00:30:37,280 --> 00:30:40,600 Speaker 1: and now they made it public that she's got two shingles. 525 00:30:40,920 --> 00:30:45,440 Speaker 1: I mean CARSETI definitely cannot be named ambassador to India. Oh, 526 00:30:45,520 --> 00:30:48,560 Speaker 1: that's true. Inact, I'm surprised he didn't jump into the 527 00:30:48,640 --> 00:30:52,280 Speaker 1: Senate race. Don't you think he would have? I mean, 528 00:30:52,320 --> 00:30:55,400 Speaker 1: if Adam Schiff can run, I bet you he did polling, 529 00:30:56,360 --> 00:30:59,160 Speaker 1: Oh and got a zero because nobody knows him outside 530 00:30:59,200 --> 00:31:01,560 Speaker 1: of LA and people LA hate them. Yeah, I mean, 531 00:31:01,720 --> 00:31:03,880 Speaker 1: how much embarrassment can a guy take in one year? 532 00:31:05,080 --> 00:31:07,760 Speaker 1: How many times you want to be a loser? Now? 533 00:31:07,880 --> 00:31:12,120 Speaker 1: Another note on health concerns, The CDC has put out 534 00:31:12,160 --> 00:31:15,920 Speaker 1: a warning about an extensively drug resistant case of a 535 00:31:16,040 --> 00:31:23,239 Speaker 1: bacterial infection called shigella. This is not singles shigella. That's right, 536 00:31:23,280 --> 00:31:27,760 Speaker 1: they're close. Siella sound disgusting. I think it sounds like 537 00:31:27,800 --> 00:31:30,640 Speaker 1: a dessert dish, like a jello. You would not want 538 00:31:30,640 --> 00:31:34,360 Speaker 1: to play the shigella. No, it's like bleep on top 539 00:31:34,440 --> 00:31:37,240 Speaker 1: of jello. It just sounds. No. I mean some some 540 00:31:37,480 --> 00:31:43,120 Speaker 1: diseases really sound like diseases. Something gross. Well, but the 541 00:31:43,240 --> 00:31:45,120 Speaker 1: next part of this is my favorite of the story. 542 00:31:45,640 --> 00:31:49,800 Speaker 1: Shigella is a major cause of inflammatory diarrhea. Wow, you 543 00:31:49,840 --> 00:31:52,400 Speaker 1: don't want that. Oh, it means it can be bloody. 544 00:31:52,920 --> 00:31:55,800 Speaker 1: Oh bloody. I thought maybe flames were coming out. Well 545 00:31:56,440 --> 00:32:00,400 Speaker 1: that's the word they use. But inflammatory means that, Yeah, 546 00:32:00,520 --> 00:32:05,800 Speaker 1: you can get bloody diarrhea. Dead, You're dying, Well, you're right. Normally, 547 00:32:06,000 --> 00:32:08,200 Speaker 1: if you're sitting on the bowl and you pass a 548 00:32:08,240 --> 00:32:10,160 Speaker 1: stool and there's blood in it, that's not a good sign. 549 00:32:10,280 --> 00:32:16,000 Speaker 1: But if you have Schigela, it's not that you're dying again. 550 00:32:16,520 --> 00:32:19,000 Speaker 1: They believe it is spreading through the gay and bisexual 551 00:32:19,080 --> 00:32:22,880 Speaker 1: male community to sexual contact, is what they're saying. A 552 00:32:22,960 --> 00:32:26,040 Speaker 1: lot of the cases so far are coming from what 553 00:32:26,160 --> 00:32:28,200 Speaker 1: did we just have a monkey pox? That was last 554 00:32:28,320 --> 00:32:30,920 Speaker 1: year's sex? Yeah? For god right, which is the same 555 00:32:31,720 --> 00:32:36,280 Speaker 1: Schigella spreads when infected fecal matter enters the mouth, come 556 00:32:36,360 --> 00:32:41,280 Speaker 1: on or the nose. Oh, including through I don't want 557 00:32:41,320 --> 00:32:43,720 Speaker 1: to think about what's going on there. What are people 558 00:32:43,800 --> 00:32:48,480 Speaker 1: doing with their nose or because of poor hand washing 559 00:32:48,520 --> 00:32:53,640 Speaker 1: after diaper changes? Is that going on between men? Unsanitary food, 560 00:32:55,920 --> 00:33:00,240 Speaker 1: unsanitary food handling, or swimming in contaminated water typically seen 561 00:33:00,280 --> 00:33:03,560 Speaker 1: in young children, but in this case with two hundred 562 00:33:03,600 --> 00:33:08,920 Speaker 1: and twenty one confirmed cases thirty seven possible more. Oh, 563 00:33:09,000 --> 00:33:11,040 Speaker 1: this came out of Europe. They had a raft of 564 00:33:11,120 --> 00:33:14,160 Speaker 1: cases last year for people who traveled to a place 565 00:33:14,240 --> 00:33:17,800 Speaker 1: off of West Africa. In the US, all but four 566 00:33:18,880 --> 00:33:20,680 Speaker 1: of the one hundred and eighty oh no, it's the 567 00:33:20,800 --> 00:33:24,360 Speaker 1: United Kingdom. I'm trying to find the US numbers here 568 00:33:24,360 --> 00:33:27,959 Speaker 1: because I had seen yesterday that most of it so far, oh, 569 00:33:28,040 --> 00:33:33,040 Speaker 1: two hundred forty three US cases. No, that's from twenty fifteen. Wow, 570 00:33:33,160 --> 00:33:35,400 Speaker 1: this story is all over the place. Yeah. Well, here's 571 00:33:35,440 --> 00:33:37,560 Speaker 1: one eighty seven percent of the cases where in men 572 00:33:37,720 --> 00:33:40,520 Speaker 1: presumed to have sex with men. Okay, that's kind of 573 00:33:40,560 --> 00:33:43,280 Speaker 1: what I was looking for. The definitive number about where 574 00:33:43,400 --> 00:33:47,720 Speaker 1: it's causes severe diarrhea sometimes buddy diarrhea, cramps, and abdominal pain. 575 00:33:49,200 --> 00:33:52,200 Speaker 1: Inspections have also been the rise among people experiencing homelessness, 576 00:33:52,240 --> 00:33:55,720 Speaker 1: so they go again international travelers, and then people living 577 00:33:55,760 --> 00:33:57,680 Speaker 1: with HIV. Oh man, that's why I got to stay 578 00:33:57,680 --> 00:34:02,720 Speaker 1: away from the almost I might have shagel on them. Yeah. Yeah. 579 00:34:02,760 --> 00:34:06,040 Speaker 1: In this recent round, just one of the infections was 580 00:34:06,080 --> 00:34:09,560 Speaker 1: in a child. So you're right, it's centered mostly about 581 00:34:09,680 --> 00:34:13,239 Speaker 1: men who I contact with other men sexually. And of 582 00:34:13,320 --> 00:34:16,360 Speaker 1: course they also throw in this story. Gonaria clamidian syphilis 583 00:34:16,400 --> 00:34:20,040 Speaker 1: have been rising steadily in recent years, particularly prevalent too 584 00:34:20,200 --> 00:34:25,160 Speaker 1: among gay and bisexual men. You know, Gonaria is down 585 00:34:25,239 --> 00:34:30,239 Speaker 1: to one antibiotic that works. Oh no, yeah, and they 586 00:34:30,320 --> 00:34:35,840 Speaker 1: think it may be losing its its effectiveness on the gnaria, 587 00:34:36,880 --> 00:34:41,280 Speaker 1: this last antibiotic, and then what happens. It's out of control, 588 00:34:41,880 --> 00:34:44,319 Speaker 1: all right? Coming up next, we'll be talking to Brad 589 00:34:44,400 --> 00:34:50,000 Speaker 1: Garrett ABC Anybody, ABC News Crime and Terrorism Analyst about 590 00:34:50,200 --> 00:34:53,279 Speaker 1: the mystery of the origins of COVID nineteen John and 591 00:34:53,320 --> 00:34:55,279 Speaker 1: Ken caf I AM six forty Live Everywhere the I 592 00:34:55,400 --> 00:34:57,200 Speaker 1: Heard Radio app deb Mark lid in the twenty four 593 00:34:57,200 --> 00:34:59,400 Speaker 1: hour Cafe on Us Room. Hey, you've been listening to 594 00:34:59,480 --> 00:35:01,600 Speaker 1: the John Ken Show. You can always hear us live 595 00:35:01,760 --> 00:35:04,799 Speaker 1: on caf i AM six forty one pm to four 596 00:35:04,880 --> 00:35:07,960 Speaker 1: pm every Monday through Friday, and of course anytime on 597 00:35:08,120 --> 00:35:10,120 Speaker 1: demand on the iHeartRadio app.